Daniel Liu Resume | Growth, AI GTM, Marketing Ops


Daniel Liu Growth Marketing & Demand Generation \| B2B Fintech and Global B2B San Francisco, CA \| (650) 504-1208 \| danielsfsu@gmail.com \| linkedin.com/in/ziqinliu \| hi-daniel.com Professional Summary Ten years of full-funnel B2B growth. I led paid and lifecycle while a payments line went from $2M to past $250M in annual revenue, and now run growth solo with AI agents doing the repeat work. Work Experience Senior Marketing Manager \| ThinkingAI \| Sunnyvale, CA Jun 2026 – Present Own every inbound channel for a B2B product analytics SaaS company, reporting to the Head of Marketing, taking Google and LinkedIn campaigns from strategy through execution and optimization with a multi-agent team that runs B2B user acquisition. Built the North America revenue operations stack: conversion tracking, CRM integration, data enrichment and normalization, automated lead assignment, and automated marketing email and sales outreach cadences; cost per conversion fell from roughly $3,000 to about $100. Built the North America ABM list from Apollo technology signals, hand-checking a 100-company sample after each filter change; new, true-fit accounts rose from about 2% to 31% of the list, 1,013 companies in all. Rebuilt the content hub around six pillars (product updates, newsroom, blog, case studies, on-demand webinars and events), each automated from publishing to distribution through social, the email newsletter and retargeting campaigns. Run North America website operations: all site content, the move off the China front-end queue to my own Next.js build with 16 comparison pages and the Sanity CMS, and the current redesign with our designer. AI Product Founder and Marketing Consultant \| Self-Employed \| San Francisco, CA Nov 2025 – Present Built and launched nine AI go-to-market tools on my own, writing the positioning and landing pages as well as the code; the work continues alongside my current role. Helped Stratefuse, a RevOps consultancy, shape its go-to-market strategy and carry it into execution, built and optimized its six-page site solo with AI in 24 hours, and set up the HubSpot-based tech stack behind it. Built Career Capybara, a job-search workspace where four agents read the job and rewrite the resume for it. Built AdRadar, which labels a competitor's public LinkedIn ads with AI and reads them as one campaign, showing which messages and offers it keeps funding. Built TechSpy, a stack scanner that gives sales reps a one-line verdict on whether an account is worth a sequence slot, cutting a ten-minute, three-tab check to seconds. Moved the 35 system prompts behind these tools into one console, bound to named models and allowed tools, so changing what an agent does is a logged configuration change. Senior Digital Marketing Manager (Growth & Operations) \| PingPong \| San Mateo, CA Aug 2023 – Oct 2025 Owned all marketing and operations automation, and from 2023 brought AI into it, including a content pipeline that scored drafts against top-ranking pages and lifted the blog to 2 to 3 posts a week. Ran the ABM funnel on ZoomInfo and then 6sense for PingPong's move upmarket, added enterprise pages and BD collateral, and pushed target-account visits to reps in Slack while interest was live. Managed the site migration, revamp and website operations: three rebuilds moving a China-controlled HTML site onto Webflow with a new sitemap, SEO standard and locked components, so regions assembled pages in hours. Ran the whole marketing operation with a few people for over six months during a gap in marketing management, through three managers, with no interruption to the business. Traced and fixed, with four Google Tag Manager changes, a two-month-old bug that stripped lead source between the marketing site and the product portal. Marketing Manager (Ads & Lifecycle) \| PingPong \| San Mateo, CA Oct 2021 – Sep 2023 Led paid acquisition and lifecycle while annual revenue on the cross-border payments line went from $2M to $76M in year one and past $250M in year two, with my inbound channels producing over 85% of lead volume. Rebuilt LinkedIn audiences from accounts that had transacted and re-scored Google keywords by registration quality: LinkedIn CPL fell from $300+ to about $160, Google registration cost from $90+ to about $35, volume held. Built three HubSpot cadences triggered on KYC state for registered suppliers, taking registration to identity verification (KYC) submission from roughly 10% into the 35 to 40% range. Took over Salesforce administration, onboarded HubSpot end to end, and automated routing so Sales saw a new lead in 1 to 2 minutes, down from 12 hours. Launched PingPong's B2B affiliate program on what I had learned running affiliate at ToLocal, and grew it to thirty-odd active partners over about two years. Vice President of Marketing (promoted from Marketing Manager) \| ToLocal Inc. \| Mountain View, CA Jul 2015 – Aug 2021 Joined ToLocal as employee number one and its founding marketer, built the CRM, automation and dashboards in my first two months, and grew into VP of Marketing, leading a US team of 7, mostly media buyers plus a partnership manager, with 5 more in China. Managed a $10M annual media budget across paid social, DSP and affiliate networks at over 80% ROI, negotiating terms with ad networks and affiliate aggregators. Education Master of Business Administration · San Francisco State University Bachelor of Business Administration · China University of Geosciences Skills & Tools Channels: paid search, paid social, programmatic and DSP, account-based marketing, lifecycle and email, SEO and generative engine optimization (GEO, visibility in AI answers), affiliate and partner, events. Platforms: Salesforce, HubSpot, 6sense, Salesloft, ZoomInfo, Apollo, Clay, Google Ads, LinkedIn Ads, Meta Ads, Google Analytics 4, Google Tag Manager, Webflow, Zapier. AI and automation: OpenAI, Gemini, Claude, DeepSeek, prompt and workflow design, agent pipelines with human review, LLM-assisted reporting and campaign QA. Certifications: Salesforce Certified Administrator, HubSpot Marketing Software, Demandbase Solutions, Account-Based Marketing Foundations, Advanced Lead Generation. Languages: English, Chinese. Case studies, the nine tools and how each was built: hi-daniel.com


Daniel Liu AI Go-To-Market & Growth Systems \| B2B Fintech and SaaS San Francisco, CA \| (650) 504-1208 \| danielsfsu@gmail.com \| linkedin.com/in/ziqinliu \| hi-daniel.com Professional Summary I build the AI systems behind go-to-market work: nine tools live on public URLs, and a marketing operation that runs on agent pipelines with me approving what ships. Before that, ten years of full-funnel B2B marketing. Work Experience Senior Marketing Manager \| ThinkingAI \| Sunnyvale, CA Jun 2026 – Present Run B2B user acquisition for a product analytics SaaS company with a multi-agent team, taking Google and LinkedIn campaigns from strategy through execution and optimization, reporting to the Head of Marketing. Built the North America revenue operations stack: conversion tracking, CRM integration, data enrichment and normalization, automated lead assignment, and automated marketing email and sales outreach cadences; cost per conversion fell from roughly $3,000 to about $100. Rebuilt the content hub around six pillars on cost-tiered model chains (DeepSeek filters, Kimi K3 drafts, Claude reviews) that I approve in Slack, each automated from publishing to distribution through social, the newsletter and retargeting. Built custom funnel reports, a marketing dashboard and an internal weekly board the management team reads through MCP, so team meetings moved from status updates to blockers. Had DeepSeek label the companies of about 11,700 Ai4 attendees against a mobile-app test and spent Apollo credits only on the 944 that passed, so sales went into the show with a ranked book. AI Product Founder and Marketing Consultant \| Self-Employed \| San Francisco, CA Nov 2025 – Present Built and launched nine AI go-to-market tools on my own, writing the positioning and landing pages as well as the code; the work continues alongside my current role. Helped Stratefuse, a RevOps consultancy, carry its go-to-market strategy into execution, built its six-page site solo with AI in 24 hours with illustrations drawn in code and every Lighthouse score at 100, and set up its HubSpot stack. Built Career Capybara, a job-search workspace where four agents read the job and rewrite the resume for it. Built AdRadar, which labels a competitor's public LinkedIn ads with AI and reads them as one campaign, showing which messages and offers it keeps funding. Built TechSpy, a stack scanner that gives sales reps a one-line verdict on whether an account is worth a sequence slot, cutting a ten-minute, three-tab check to seconds. Moved the 35 system prompts behind these tools into one console, bound to named models and allowed tools, so changing what an agent does is a logged configuration change. Rebuilt AdGuard, my ad-policy checker from PingPong's Southeast Asia team, as a small tool for my own use. Senior Digital Marketing Manager (Growth & Operations) \| PingPong \| San Mateo, CA Aug 2023 – Oct 2025 Owned all marketing and operations automation, and from 2023 brought AI into it, starting with a lead score rebuilt on the OpenAI API in Zapier as one step per vetting question; response times fell from hours to minutes. Built AdGuard, an internal ad-compliance check for the Southeast Asia team that turned four platform rulebooks into machine-readable rules, so the same ad got the same verdict and the failing rule named. Standardized five regions' report intake with peers and built a Zapier flow with a custom GPT that strips PII and fills a fixed schema, taking the monthly close from 1 to 2 hours to under 5 minutes. Managed the site migration, revamp and website operations, moving a China-controlled HTML site to Webflow with a component library and gated publishing, so regional teams built campaign pages in hours. Led the marketing function through a six-month gap in marketing leadership and three manager changes. Ran the ABM funnel on ZoomInfo and then 6sense for the move upmarket, pushing target-account visits to reps in Slack while interest was live. Marketing Manager (Ads & Lifecycle) \| PingPong \| San Mateo, CA Oct 2021 – Sep 2023 Took over Salesforce admin, onboarded HubSpot in two months and built a custom integration with Salesforce and Salesloft, cutting lead handoff from about 12 hours to 1 to 2 minutes. Rebuilt LinkedIn audiences from accounts that had transacted and re-scored Google keywords by registration quality: LinkedIn CPL fell from $300+ to about $160, Google registration cost from $90+ to about $35, volume held. Owned paid acquisition and lifecycle as annual revenue on the cross-border payments line grew from $2M to $76M in year one and past $250M in year two. Built three HubSpot cadences triggered on KYC state for registered suppliers, taking registration to identity verification (KYC) submission from roughly 10% into the 35 to 40% range. Vice President of Marketing (promoted from Marketing Manager) \| ToLocal Inc. \| Mountain View, CA Jul 2015 – Aug 2021 Joined ToLocal as employee number one and its founding marketer, built the CRM, automation and dashboards in my first two months, and grew into VP of Marketing, leading a US team of 7, mostly media buyers plus a partnership manager, with 5 more in China. Ran a $10M annual media budget at over 80% ROI across Facebook, DSP and affiliate, allocated on the CRM and dashboards I set up in my first two months. Education Master of Business Administration · San Francisco State University Bachelor of Business Administration · China University of Geosciences Skills & Tools AI and models: OpenAI GPT-4o, Gemini, Claude, DeepSeek, retrieval-augmented generation, vector search with Pinecone, prompt and schema design, Model Context Protocol, multi-model routing, agent governance and guardrails. Engineering: Next.js, React, TypeScript, Python, Node and Express, Supabase, Prisma, PostgreSQL, Playwright, Vercel, Stripe, REST API and webhook integration. Go-to-market: Salesforce, HubSpot, 6sense, Salesloft, Clay, Zapier, Google Analytics 4, Google Tag Manager, paid search and paid social, lifecycle, account-based marketing. Certifications: Salesforce Certified Administrator, HubSpot Marketing Software, Demandbase Solutions, Account-Based Marketing Foundations, Advanced Lead Generation. Languages: English, Chinese. Case studies, the nine tools and how each was built: hi-daniel.com


Daniel Liu Marketing Operations & Go-To-Market Systems \| B2B Fintech and SaaS San Francisco, CA \| (650) 504-1208 \| danielsfsu@gmail.com \| linkedin.com/in/ziqinliu \| hi-daniel.com Professional Summary Ten years on the systems layer of B2B go-to-market. Ran the Salesforce, HubSpot and 6sense stack for a payments line as its annual revenue grew past $250M, and now run marketing ops at ThinkingAI on AI agents. Work Experience Senior Marketing Manager \| ThinkingAI \| Sunnyvale, CA Jun 2026 – Present Own the marketing tech stack for a product analytics SaaS company, hands-on, with no team under me, reporting to the Head of Marketing. Built the North America revenue operations stack: conversion tracking, CRM integration, data enrichment and normalization, automated lead assignment, and automated marketing email and sales outreach cadences; cost per conversion fell from roughly $3,000 to about $100. Built custom funnel reports, a marketing dashboard and an internal weekly board the management team reads through MCP, so team meetings moved from status updates to blockers. Run North America website operations: all site content, the move off the China front-end queue to my own Next.js build with 16 comparison pages and the Sanity CMS, and the current redesign with our designer. Set four trade-show capture paths with Sales and had GPT-4o vision read badge photos and fuzzy-match them to HubSpot during the show, so the follow-up list was done before the booth came down. AI Product Founder and Marketing Consultant \| Self-Employed \| San Francisco, CA Nov 2025 – Present Built and launched nine AI go-to-market tools on my own, writing the positioning and landing pages as well as the code; the work continues alongside my current role. Helped Stratefuse, a RevOps consultancy, carry its go-to-market strategy into execution, built its six-page site solo with AI in 24 hours with every Lighthouse score at 100, and set up its HubSpot-based tech stack. Built Career Capybara, a job-search workspace where four agents read the job and rewrite the resume for it. Built AdRadar, which labels a competitor's public LinkedIn ads with AI and reads them as one campaign, showing which messages and offers it keeps funding. Built TechSpy, a stack scanner that gives sales reps a one-line verdict on whether an account is worth a sequence slot, cutting a ten-minute, three-tab check to seconds. Moved the 35 system prompts behind these tools into one console, bound to named models and allowed tools, so changing what an agent does is a logged configuration change. Senior Digital Marketing Manager (Growth & Operations) \| PingPong \| San Mateo, CA Aug 2023 – Oct 2025 Owned all marketing and operations automation on the go-to-market stack (Salesforce, HubSpot, Webflow, 6sense, Zapier, ZoomInfo, Salesloft, GA4, Tag Manager), with 200+ workflows each given a named owner and trigger. From 2023 brought AI into operations: a five-check qualification chain built with Sales and BD that sends restricted categories to compliance and clean leads straight into cadence. Managed the site migration, revamp and website operations, and traced a two-month Southeast Asia attribution outage to the cross-domain tag setup, fixing it with four Tag Manager changes. Ran the ABM funnel on ZoomInfo and then 6sense for the move upmarket, pushing target-account visits to reps in Slack while interest was live. Led the marketing function through a six-month gap in marketing leadership and three manager changes. Built a Zapier flow with peer marketers that stripped PII from each region's monthly export, then had a GPT fill eight reports from a schema doc; the close fell from 1 to 2 hours to under 5 minutes. Marketing Manager (Ads & Lifecycle) \| PingPong \| San Mateo, CA Oct 2021 – Sep 2023 Took over Salesforce administration, onboarded HubSpot in two months, and custom-built the HubSpot, Salesforce and Salesloft sync that later lead flows and cadences ran on. Automated enrichment on arrival, round-robin routing, cadence enrollment and Slack alerts, so Sales picks up a new lead in 1 to 2 minutes, down from about 12 hours in a shared inbox. Consolidated paid accounts scattered across platforms into one view and set conversion tracking finance could audit line by line, while annual revenue grew from $2M to $76M and past $250M. Built three cadences triggered by identity verification (KYC) state for registered suppliers, and registration to KYC submission rose from roughly 10% into the 35 to 40% range. Vice President of Marketing (promoted from Marketing Manager) \| ToLocal Inc. \| Mountain View, CA Jul 2015 – Aug 2021 Joined as employee number one and first marketer, grew into VP of Marketing, and led a US team of 7, mostly media buyers plus a partnership manager, with 5 more in China. Set up the CRM, marketing automation, outreach cadences and dashboards in my first two months, then ran a $10M annual media budget on them at over 80% ROI, reporting to the founder on profit and loss. Education Master of Business Administration · San Francisco State University Bachelor of Business Administration · China University of Geosciences Skills & Tools CRM and automation: Salesforce, HubSpot, Pipedrive, Salesloft, 6sense, ZoomInfo, Apollo, Clay, Zapier, Make, n8n. Tracking and analytics: Google Analytics 4, Google Tag Manager, cross-domain measurement, multi-touch attribution, lead scoring and routing, Looker Studio, Power BI. Web and content: Webflow, Sanity, WordPress, CMS governance, conversion rate optimization, technical SEO. AI and automation: OpenAI, Gemini, Claude, DeepSeek, schema-constrained extraction, review-by-exception pipelines, versioned master data. Certifications: Salesforce Certified Administrator, HubSpot Marketing Software, Demandbase Solutions, Account-Based Marketing Foundations, Advanced Lead Generation. Languages: English, Chinese. Case studies, the nine tools and how each was built: hi-daniel.com


Daniel Liu Performance Marketing & Paid Acquisition \| B2B Fintech and Global B2B San Francisco, CA \| (650) 504-1208 \| danielsfsu@gmail.com \| linkedin.com/in/ziqinliu \| hi-daniel.com Professional Summary Ten years in paid acquisition: a $10M media budget at ToLocal, then LinkedIn cost per lead cut from over $300 to $160 at PingPong. Now AI does the keyword research and account checks, and I make the budget calls. Work Experience Senior Marketing Manager \| ThinkingAI \| Sunnyvale, CA Jun 2026 – Present Own every inbound channel for a B2B product analytics SaaS company, reporting to the Head of Marketing, taking Google and LinkedIn campaigns from strategy through execution and optimization with a multi-agent team that runs B2B user acquisition. Rebuilt conversion tracking and the CRM integration around primary and secondary goals, with UTMs carried from ad to CRM, and added enrichment, automated lead assignment and outreach cadences behind it. Optimized the account on a two-week agent loop, models proposing bids, negatives and copy and me making the call; cost per conversion fell from roughly $3,000 to about $100. Rebuilt competitor research for Search Ads as a model pipeline (DeepSeek cleans the rival's keyword export, Kimi K3 reads its ad claims, Claude sorts terms by intent), fitting weeks of spreadsheet work into a day. Built the North America ABM list in Apollo from install signals such as AppsFlyer and Unity, hand-checking 100 companies each round; new, true-fit accounts rose from about 2% to 31%, so paid enrichment went only to fits. Built custom funnel reports and a marketing dashboard on that tracking, so budget calls run on conversion data. AI Product Founder and Marketing Consultant \| Self-Employed \| San Francisco, CA Nov 2025 – Present Built and launched nine AI go-to-market tools on my own, writing the positioning and landing pages as well as the code; the work continues alongside my current role. Built AdRadar, which labels a competitor's public LinkedIn ads with AI and reads them as one campaign, showing which messages and offers it keeps funding. Helped Stratefuse, a RevOps consultancy, shape its go-to-market strategy and carry it into execution, built and optimized its six-page site solo with AI in 24 hours, and set up the HubSpot-based tech stack behind it. Built Career Capybara, a job-search workspace where four agents read the job and rewrite the resume for it. Built TechSpy, a stack scanner that gives sales reps a one-line verdict on whether an account is worth a sequence slot, cutting a ten-minute, three-tab check to seconds. Senior Digital Marketing Manager (Growth & Operations) \| PingPong \| San Mateo, CA Aug 2023 – Oct 2025 Owned about $1M a year in paid media across Google, Meta, LinkedIn and programmatic with a team of 3 to 7 and up to 3 direct reports, and moved budget each cycle on measured cost per lead and payback. Owned all marketing and operations automation, and from 2023 brought AI into it, including AdGuard, an internal tool that checked the Southeast Asia team's ads against platform policy before spend. Ran the ABM funnel on ZoomInfo then 6sense intent for the move upmarket, pushing site-visit signals to Slack and an engagement report into Salesforce so reps called accounts already showing interest. Managed the site migration, revamp and website operations, moving a China-controlled HTML site to Webflow with locked components and one landing archetype per campaign type, so regions built pages in hours. Led the marketing function through a six-month gap in marketing leadership and three manager changes. Fixed in Tag Manager a two-month-old bug that stripped paid lead source between the marketing site and product domain, and made the check a launch gate. Marketing Manager (Ads & Lifecycle) \| PingPong \| San Mateo, CA Oct 2021 – Sep 2023 Rebuilt LinkedIn audiences from accounts that registered and transacted and excluded segments that never pass onboarding, cutting cost per lead from $300+ to about $160 with volume held. Re-scored every Google keyword on how many clicks became registrations sales could serve, moved budget to the specific, intent-heavy terms and added negatives weekly, cutting cost per registration from $90+ to about $35. Led paid acquisition while annual revenue on the cross-border payments line went from $2M to $76M in year one and past $250M in year two. Consolidated the ads already running on a new line before buying more, then relaunched Google and LinkedIn by supplier segment with PMax, Search and retargeting; inbound came to supply 85%+ of leads. Automated enrichment and round-robin routing for paid leads, so the right rep had them with context in 1 to 2 minutes, down from about 12 hours in a shared inbox. Vice President of Marketing (promoted from Marketing Manager) \| ToLocal Inc. \| Mountain View, CA Jul 2015 – Aug 2021 Joined as employee number one and first marketer, grew into VP of Marketing, and led a US team of 7, mostly media buyers plus a partnership manager, with 5 more in China. Started paid on Meta as the company's first employee, then ran a $10M annual media budget across paid social, DSP and affiliate networks at over 80% ROI, tracking each partner in CJ Affiliate, Impact and Voluum. Education Master of Business Administration · San Francisco State University Bachelor of Business Administration · China University of Geosciences Skills & Tools Channels: paid search, paid social, programmatic and DSP, affiliate and partner, account-based marketing, landing page and offer testing. Platforms: Google Ads, LinkedIn Ads, Meta Ads, Google Analytics 4, Google Tag Manager, Salesforce, HubSpot, 6sense, ZoomInfo, Webflow, Zapier. Measurement: cost per lead and cost per registration, return on investment and payback, cross-domain measurement, multi-touch attribution, A/B and multivariate testing, Looker Studio, Power BI. AI and automation: OpenAI, Gemini, Claude, DeepSeek, ad policy review pipelines, LLM-assisted reporting, campaign QA with a human approval step. Certifications: Salesforce Certified Administrator, HubSpot Marketing Software, Demandbase Solutions, Account-Based Marketing Foundations, Advanced Lead Generation. Languages: English, Chinese. Case studies, the nine tools and how each was built: hi-daniel.com

Daniel Liu

Performance Marketing & Paid Acquisition | B2B Fintech and Global B2B

San Francisco, CA | (650) 504-1208 | danielsfsu@gmail.com | linkedin.com/in/ziqinliu | hi-daniel.com

Professional Summary

Ten years in paid acquisition: a $10M media budget at ToLocal, then LinkedIn cost per lead cut from over $300 to $160 at PingPong. Now AI does the keyword research and account checks, and I make the budget calls.

Work Experience

Senior Marketing Manager | ThinkingAI | Sunnyvale, CA

Jun 2026 – Present

Own every inbound channel for a B2B product analytics SaaS company, reporting to the Head of Marketing, taking Google and LinkedIn campaigns from strategy through execution and optimization with a multi-agent team that runs B2B user acquisition.
Rebuilt conversion tracking and the CRM integration around primary and secondary goals, with UTMs carried from ad to CRM, and added enrichment, automated lead assignment and outreach cadences behind it.
Optimized the account on a two-week agent loop, models proposing bids, negatives and copy and me making the call; cost per conversion fell from roughly $3,000 to about $100.
Rebuilt competitor research for Search Ads as a model pipeline (DeepSeek cleans the rival's keyword export, Kimi K3 reads its ad claims, Claude sorts terms by intent), fitting weeks of spreadsheet work into a day.
Built the North America ABM list in Apollo from install signals such as AppsFlyer and Unity, hand-checking 100 companies each round; new, true-fit accounts rose from about 2% to 31%, so paid enrichment went only to fits.
Built custom funnel reports and a marketing dashboard on that tracking, so budget calls run on conversion data.

AI Product Founder and Marketing Consultant | Self-Employed | San Francisco, CA

Nov 2025 – Present

Built and launched nine AI go-to-market tools on my own, writing the positioning and landing pages as well as the code; the work continues alongside my current role.
Built AdRadar, which labels a competitor's public LinkedIn ads with AI and reads them as one campaign, showing which messages and offers it keeps funding.
Helped Stratefuse, a RevOps consultancy, shape its go-to-market strategy and carry it into execution, built and optimized its six-page site solo with AI in 24 hours, and set up the HubSpot-based tech stack behind it.
Built Career Capybara, a job-search workspace where four agents read the job and rewrite the resume for it.
Built TechSpy, a stack scanner that gives sales reps a one-line verdict on whether an account is worth a sequence slot, cutting a ten-minute, three-tab check to seconds.

Senior Digital Marketing Manager (Growth & Operations) | PingPong | San Mateo, CA

Aug 2023 – Oct 2025

Owned about $1M a year in paid media across Google, Meta, LinkedIn and programmatic with a team of 3 to 7 and up to 3 direct reports, and moved budget each cycle on measured cost per lead and payback.
Owned all marketing and operations automation, and from 2023 brought AI into it, including AdGuard, an internal tool that checked the Southeast Asia team's ads against platform policy before spend.
Ran the ABM funnel on ZoomInfo then 6sense intent for the move upmarket, pushing site-visit signals to Slack and an engagement report into Salesforce so reps called accounts already showing interest.
Managed the site migration, revamp and website operations, moving a China-controlled HTML site to Webflow with locked components and one landing archetype per campaign type, so regions built pages in hours.
Led the marketing function through a six-month gap in marketing leadership and three manager changes.
Fixed in Tag Manager a two-month-old bug that stripped paid lead source between the marketing site and product domain, and made the check a launch gate.

Marketing Manager (Ads & Lifecycle) | PingPong | San Mateo, CA

Oct 2021 – Sep 2023

Rebuilt LinkedIn audiences from accounts that registered and transacted and excluded segments that never pass onboarding, cutting cost per lead from $300+ to about $160 with volume held.
Re-scored every Google keyword on how many clicks became registrations sales could serve, moved budget to the specific, intent-heavy terms and added negatives weekly, cutting cost per registration from $90+ to about $35.
Led paid acquisition while annual revenue on the cross-border payments line went from $2M to $76M in year one and past $250M in year two.
Consolidated the ads already running on a new line before buying more, then relaunched Google and LinkedIn by supplier segment with PMax, Search and retargeting; inbound came to supply 85%+ of leads.
Automated enrichment and round-robin routing for paid leads, so the right rep had them with context in 1 to 2 minutes, down from about 12 hours in a shared inbox.

Vice President of Marketing (promoted from Marketing Manager) | ToLocal Inc. | Mountain View, CA

Jul 2015 – Aug 2021

Joined as employee number one and first marketer, grew into VP of Marketing, and led a US team of 7, mostly media buyers plus a partnership manager, with 5 more in China.
Started paid on Meta as the company's first employee, then ran a $10M annual media budget across paid social, DSP and affiliate networks at over 80% ROI, tracking each partner in CJ Affiliate, Impact and Voluum.

Education

Master of Business Administration · San Francisco State University

Bachelor of Business Administration · China University of Geosciences

Skills & Tools

Channels: paid search, paid social, programmatic and DSP, affiliate and partner, account-based marketing, landing page and offer testing.

Platforms: Google Ads, LinkedIn Ads, Meta Ads, Google Analytics 4, Google Tag Manager, Salesforce, HubSpot, 6sense, ZoomInfo, Webflow, Zapier.

Measurement: cost per lead and cost per registration, return on investment and payback, cross-domain measurement, multi-touch attribution, A/B and multivariate testing, Looker Studio, Power BI.

AI and automation: OpenAI, Gemini, Claude, DeepSeek, ad policy review pipelines, LLM-assisted reporting, campaign QA with a human approval step.

Certifications: Salesforce Certified Administrator, HubSpot Marketing Software, Demandbase Solutions, Account-Based Marketing Foundations, Advanced Lead Generation. Languages: English, Chinese.

Case studies, the nine tools and how each was built: hi-daniel.com


Daniel Liu Lifecycle & CRM Marketing \| B2B Fintech and Global B2B San Francisco, CA \| (650) 504-1208 \| danielsfsu@gmail.com \| linkedin.com/in/ziqinliu \| hi-daniel.com Professional Summary Lifecycle and CRM marketer who builds the program and the plumbing under it. My onboarding rebuild at PingPong took registration to KYC submission from about 10% to 35 to 40%, and today agents draft the newsletter I approve. Work Experience Senior Marketing Manager \| ThinkingAI \| Sunnyvale, CA Jun 2026 – Present Started the weekly newsletter with no list and grew it to 1,000-plus, almost all from the on-site signup popup, at about a 22% open rate; unsubscribes are the read I am still building. Moved the newsletter onto a cost-tiered model chain (DeepSeek filters 35-plus sources, Kimi K3 drafts, Claude makes the final pick), so it ships weekly with my approval. Rebuilt the content hub around six pillars (product updates, newsroom, blog, case studies, on-demand webinars and events), each automated from publishing to distribution through social, the email newsletter and retargeting campaigns. Built the North America revenue operations stack behind lifecycle: CRM integration, data enrichment and normalization, automated lead assignment, and automated marketing email and sales outreach cadences. Made the site forms capture landing page, UTMs and ad click IDs on arrival and replay them through the HubSpot Forms API at submit, so HubSpot routes the lead and I can see which page converted and which campaign paid. AI Product Founder and Marketing Consultant \| Self-Employed \| San Francisco, CA Nov 2025 – Present Built and launched nine AI go-to-market tools on my own, writing the positioning and landing pages as well as the code; the work continues alongside my current role. Helped Stratefuse, a RevOps consultancy, shape its go-to-market strategy and carry it into execution, built and optimized its six-page site solo with AI in 24 hours, and set up the HubSpot-based tech stack behind it. Built Career Capybara, a job-search workspace where four agents read the job and rewrite the resume for it. Built AdRadar, which labels a competitor's public LinkedIn ads with AI and reads them as one campaign, showing which messages and offers it keeps funding. Built TechSpy, a stack scanner that gives sales reps a one-line verdict on whether an account is worth a sequence slot, cutting a ten-minute, three-tab check to seconds. Moved the 35 system prompts behind these tools into one console, bound to named models and allowed tools, so changing what an agent does is a logged configuration change. Senior Digital Marketing Manager (Growth & Operations) \| PingPong \| San Mateo, CA Aug 2023 – Oct 2025 Owned all marketing and operations automation, and from 2023 brought AI into it, including GPT-4o mini drafts on non-sensitive, PII-stripped support tickets that the CS team reviewed and sent. Set one object model and lifecycle across Salesforce and HubSpot with dedupe, field and UTM rules on write, so eight reports, lifecycle views included, read one dataset and agree. Wrote one definition of a qualified lead, then chained ZoomInfo enrichment, 6sense intent scoring and round-robin routing into the matching Salesloft cadence, so lead handoff fell from about 12 hours to 1 to 2 minutes. Managed the site migration, revamp and website operations, and set one form and UTM spec for the regions after tracing their wiped ad source to Google Tag Manager. Led the marketing function through a six-month gap in marketing leadership and three manager changes. Ran the ABM funnel on ZoomInfo and then 6sense for the move upmarket, feeding target accounts into the same lifecycle and cadences. Marketing Manager (Ads & Lifecycle) \| PingPong \| San Mateo, CA Oct 2021 – Sep 2023 Wired status changes into Slack and email for the right person or channel, so a KYC completion or a new LinkedIn lead reached the rep who owned it and nobody had to go looking. Built HubSpot cadences keyed to KYC state, from finishing the application to a product tour after approval; registration to KYC submission rose from roughly 10% to 35 to 40%. Gave each cadence one objective and loaded the pre-KYC arc with the document checklist and an account-manager intro; opens held around 35% with a best send of 61%, and approval settled at 18 to 20%. Took over the Salesforce admin seat, onboarded HubSpot in two months and custom-built its integration with Salesforce and Salesloft, so lifecycle sends and sales cadences ran off one record. Led lifecycle and paid acquisition while annual revenue on the payments line went from $2M to $76M and past $250M, with the inbound channels I ran producing more than 85% of the lead volume. Vice President of Marketing (promoted from Marketing Manager) \| ToLocal Inc. \| Mountain View, CA Jul 2015 – Aug 2021 Joined as employee number one and the first marketer, built the CRM, marketing automation, outreach cadences and dashboards in the first two months, and grew into VP of Marketing over a US team of 7, mostly media buyers plus a partnership manager, with 5 more in China. Ran a $10M annual media budget across Facebook, DSP and affiliate at over 80% ROI, and personally kept about ten key client accounts. Education Master of Business Administration · San Francisco State University Bachelor of Business Administration · China University of Geosciences Skills & Tools Lifecycle: segmentation, onboarding sequences, triggered email, product education and nurture, activation and retention programs, referral programs, A/B and multivariate testing. CRM and automation: Salesforce, HubSpot, Salesloft, Pipedrive, Zapier, Make, n8n, list segmentation, lead scoring and routing, HubSpot and Salesforce sync. Measurement: Google Analytics 4, Google Tag Manager, Looker Studio, Power BI, before and after cohort reads. AI and automation: OpenAI, Gemini, Claude, DeepSeek, content pipelines with human approval, schema-constrained extraction, personal data stripped before any model call. Certifications: Salesforce Certified Administrator, HubSpot Marketing Software, Demandbase Solutions, Account-Based Marketing Foundations, Advanced Lead Generation. Languages: English, Chinese. Case studies, the nine tools and how each was built: hi-daniel.com

Daniel Liu

Lifecycle & CRM Marketing | B2B Fintech and Global B2B

San Francisco, CA | (650) 504-1208 | danielsfsu@gmail.com | linkedin.com/in/ziqinliu | hi-daniel.com

Professional Summary

Lifecycle and CRM marketer who builds the program and the plumbing under it. My onboarding rebuild at PingPong took registration to KYC submission from about 10% to 35 to 40%, and today agents draft the newsletter I approve.

Work Experience

Senior Marketing Manager | ThinkingAI | Sunnyvale, CA

Jun 2026 – Present

Started the weekly newsletter with no list and grew it to 1,000-plus, almost all from the on-site signup popup, at about a 22% open rate; unsubscribes are the read I am still building.
Moved the newsletter onto a cost-tiered model chain (DeepSeek filters 35-plus sources, Kimi K3 drafts, Claude makes the final pick), so it ships weekly with my approval.
Rebuilt the content hub around six pillars (product updates, newsroom, blog, case studies, on-demand webinars and events), each automated from publishing to distribution through social, the email newsletter and retargeting campaigns.
Built the North America revenue operations stack behind lifecycle: CRM integration, data enrichment and normalization, automated lead assignment, and automated marketing email and sales outreach cadences.
Made the site forms capture landing page, UTMs and ad click IDs on arrival and replay them through the HubSpot Forms API at submit, so HubSpot routes the lead and I can see which page converted and which campaign paid.

AI Product Founder and Marketing Consultant | Self-Employed | San Francisco, CA

Nov 2025 – Present

Built and launched nine AI go-to-market tools on my own, writing the positioning and landing pages as well as the code; the work continues alongside my current role.
Helped Stratefuse, a RevOps consultancy, shape its go-to-market strategy and carry it into execution, built and optimized its six-page site solo with AI in 24 hours, and set up the HubSpot-based tech stack behind it.
Built Career Capybara, a job-search workspace where four agents read the job and rewrite the resume for it.
Built AdRadar, which labels a competitor's public LinkedIn ads with AI and reads them as one campaign, showing which messages and offers it keeps funding.
Built TechSpy, a stack scanner that gives sales reps a one-line verdict on whether an account is worth a sequence slot, cutting a ten-minute, three-tab check to seconds.
Moved the 35 system prompts behind these tools into one console, bound to named models and allowed tools, so changing what an agent does is a logged configuration change.

Senior Digital Marketing Manager (Growth & Operations) | PingPong | San Mateo, CA

Aug 2023 – Oct 2025

Owned all marketing and operations automation, and from 2023 brought AI into it, including GPT-4o mini drafts on non-sensitive, PII-stripped support tickets that the CS team reviewed and sent.
Set one object model and lifecycle across Salesforce and HubSpot with dedupe, field and UTM rules on write, so eight reports, lifecycle views included, read one dataset and agree.
Wrote one definition of a qualified lead, then chained ZoomInfo enrichment, 6sense intent scoring and round-robin routing into the matching Salesloft cadence, so lead handoff fell from about 12 hours to 1 to 2 minutes.
Managed the site migration, revamp and website operations, and set one form and UTM spec for the regions after tracing their wiped ad source to Google Tag Manager.
Led the marketing function through a six-month gap in marketing leadership and three manager changes.
Ran the ABM funnel on ZoomInfo and then 6sense for the move upmarket, feeding target accounts into the same lifecycle and cadences.

Marketing Manager (Ads & Lifecycle) | PingPong | San Mateo, CA

Oct 2021 – Sep 2023

Wired status changes into Slack and email for the right person or channel, so a KYC completion or a new LinkedIn lead reached the rep who owned it and nobody had to go looking.
Built HubSpot cadences keyed to KYC state, from finishing the application to a product tour after approval; registration to KYC submission rose from roughly 10% to 35 to 40%.
Gave each cadence one objective and loaded the pre-KYC arc with the document checklist and an account-manager intro; opens held around 35% with a best send of 61%, and approval settled at 18 to 20%.
Took over the Salesforce admin seat, onboarded HubSpot in two months and custom-built its integration with Salesforce and Salesloft, so lifecycle sends and sales cadences ran off one record.
Led lifecycle and paid acquisition while annual revenue on the payments line went from $2M to $76M and past $250M, with the inbound channels I ran producing more than 85% of the lead volume.

Vice President of Marketing (promoted from Marketing Manager) | ToLocal Inc. | Mountain View, CA

Jul 2015 – Aug 2021

Joined as employee number one and the first marketer, built the CRM, marketing automation, outreach cadences and dashboards in the first two months, and grew into VP of Marketing over a US team of 7, mostly media buyers plus a partnership manager, with 5 more in China.
Ran a $10M annual media budget across Facebook, DSP and affiliate at over 80% ROI, and personally kept about ten key client accounts.

Education

Master of Business Administration · San Francisco State University

Bachelor of Business Administration · China University of Geosciences

Skills & Tools

Lifecycle: segmentation, onboarding sequences, triggered email, product education and nurture, activation and retention programs, referral programs, A/B and multivariate testing.

CRM and automation: Salesforce, HubSpot, Salesloft, Pipedrive, Zapier, Make, n8n, list segmentation, lead scoring and routing, HubSpot and Salesforce sync.

Measurement: Google Analytics 4, Google Tag Manager, Looker Studio, Power BI, before and after cohort reads.

AI and automation: OpenAI, Gemini, Claude, DeepSeek, content pipelines with human approval, schema-constrained extraction, personal data stripped before any model call.

Certifications: Salesforce Certified Administrator, HubSpot Marketing Software, Demandbase Solutions, Account-Based Marketing Foundations, Advanced Lead Generation. Languages: English, Chinese.

Case studies, the nine tools and how each was built: hi-daniel.com


Daniel Liu Full-Funnel B2B Marketing & Team Leadership \| Fintech and SaaS San Francisco, CA \| (650) 504-1208 \| danielsfsu@gmail.com \| linkedin.com/in/ziqinliu \| hi-daniel.com Professional Summary Full-funnel B2B marketer with 10+ years in fintech and SaaS. Led a US team of 7, plus 5 in China, on a $10M budget, then demand generation for a payments line as revenue grew from $2M to over $250M. Work Experience Senior Marketing Manager \| ThinkingAI \| Sunnyvale, CA Jun 2026 – Present Own every inbound channel for a B2B product analytics SaaS company, reporting to the Head of Marketing, taking Google and LinkedIn campaigns from strategy through execution and optimization with a multi-agent team that runs B2B user acquisition. Built the North America revenue operations stack: conversion tracking, CRM integration, data enrichment and normalization, automated lead assignment, and automated marketing email and sales outreach cadences. Cost per conversion fell from roughly $3,000 to about $100. Built the North America ABM list for Sales from technology signals in Apollo, raising the share of sampled accounts that were new, true-fit targets from about 2% to 31% before buying any contact data. Rebuilt the content hub around six pillars (product updates, newsroom, blog, case studies, on-demand webinars and events), each automated from publishing to distribution through social, the email newsletter and retargeting campaigns. Run North America website operations: all site content, the move off the China front-end queue to my own Next.js build with 16 comparison pages and the Sanity CMS, and the current redesign with our designer. Built custom funnel reports, a marketing dashboard and an internal weekly board the management team reads through MCP, so team meetings moved from status updates to blockers. AI Product Founder and Marketing Consultant \| Self-Employed \| San Francisco, CA Nov 2025 – Present Built and launched nine AI go-to-market products on my own alongside client consulting, and keep building alongside my current role. Helped Stratefuse, a RevOps consultancy, shape its go-to-market strategy and carry it into execution, built and optimized its six-page site solo with AI in 24 hours, and set up the HubSpot-based tech stack behind it. Built Career Capybara, a job-search workspace where four agents read the job and rewrite the resume for it. Built AdRadar, which labels a competitor's public LinkedIn ads with AI and reads them as one campaign, showing which messages and offers it keeps funding. Built TechSpy, a stack scanner that gives sales reps a one-line verdict on whether an account is worth a sequence slot, cutting a ten-minute, three-tab check to seconds. Senior Digital Marketing Manager (Growth & Operations) \| PingPong \| San Mateo, CA Aug 2023 – Oct 2025 Owned all marketing and operations automation, and from 2023 brought AI into it: a five-check lead qualification chain that routes restricted categories to compliance, and support drafts on PII-stripped tickets that CS sends. Built the ABM funnel with BD on ZoomInfo and then 6sense for the move upmarket, plus the enterprise web pages and collateral BD needed. Managed the site migration, revamp and website operations: three rebuilds moving a China-controlled HTML site to Webflow with a component library and gated publishing, so regional teams built campaign pages in hours. Led the marketing function through a six-month gap in marketing leadership and three manager changes, with a team of 3 to 7, up to 3 direct reports and about $1M a year in paid budget. Supported the separate Southeast Asia team on digital with a global playbook and performance guidance, and fixed the cross-domain break that had left their paid attribution dark for two months. Marketing Manager (Ads & Lifecycle) \| PingPong \| San Mateo, CA Oct 2021 – Sep 2023 Led paid demand generation and lifecycle for a fintech cross-border payments line while annual revenue grew from $2M to $76M in year one and past $250M in year two. Consolidated scattered paid accounts and rebuilt Google and LinkedIn by supplier segment, cutting LinkedIn CPL from $300+ to about $160 and Google registration cost from $90+ to about $35 at steady volume. Built the lifecycle program from scratch as three cadences triggered by identity verification (KYC) state, lifting registration to KYC submission from roughly 10% into the 35 to 40% range. Took on Salesforce administration, onboarded HubSpot and automated routing so Sales saw new leads in 1 to 2 minutes, down from 12 hours. Launched a B2B affiliate program drawing on my B2C affiliate years at ToLocal, and grew it to thirty-odd active partners over about two years. Vice President of Marketing (promoted from Marketing Manager) \| ToLocal Inc. \| Mountain View, CA Jul 2015 – Aug 2021 Joined a performance and affiliate marketing agency as employee number one and its first marketer, and was promoted to VP of Marketing. Built and led a US team of 7 from an intern pipeline, mostly media buyers plus a partnership manager, and set up a second team of 5 in China. Owned a $10M annual media budget at over 80% ROI and reported to the founder on profit and loss. Led business development at trade shows and managed about ten key accounts directly. Education Master of Business Administration · San Francisco State University Bachelor of Business Administration · China University of Geosciences Skills & Tools Channels: paid search, paid social, programmatic, lifecycle and email, SEO and generative engine optimization (GEO), account-based marketing, affiliate and partner, events. Platforms: Salesforce, HubSpot, 6sense, ZoomInfo, Salesloft, Clay, Google Ads, LinkedIn Ads, Meta Ads, Google Analytics 4, Google Tag Manager, Webflow, Sanity, Zapier. AI: OpenAI, Claude, Gemini and DeepSeek in multi-model pipelines; prompt and schema design; agent guardrails with a human approval step; Model Context Protocol (MCP). Certifications: Salesforce Certified Administrator, HubSpot Marketing Software, Demandbase Solutions, Account-Based Marketing Foundations, Advanced Lead Generation. Languages: English, Chinese. Case studies, the nine tools and how each was built: hi-daniel.com

Daniel Liu

Full-Funnel B2B Marketing & Team Leadership | Fintech and SaaS

San Francisco, CA | (650) 504-1208 | danielsfsu@gmail.com | linkedin.com/in/ziqinliu | hi-daniel.com

Professional Summary

Full-funnel B2B marketer with 10+ years in fintech and SaaS. Led a US team of 7, plus 5 in China, on a $10M budget, then demand generation for a payments line as revenue grew from $2M to over $250M.

Work Experience

Senior Marketing Manager | ThinkingAI | Sunnyvale, CA

Jun 2026 – Present

Own every inbound channel for a B2B product analytics SaaS company, reporting to the Head of Marketing, taking Google and LinkedIn campaigns from strategy through execution and optimization with a multi-agent team that runs B2B user acquisition.
Built the North America revenue operations stack: conversion tracking, CRM integration, data enrichment and normalization, automated lead assignment, and automated marketing email and sales outreach cadences. Cost per conversion fell from roughly $3,000 to about $100.
Built the North America ABM list for Sales from technology signals in Apollo, raising the share of sampled accounts that were new, true-fit targets from about 2% to 31% before buying any contact data.
Rebuilt the content hub around six pillars (product updates, newsroom, blog, case studies, on-demand webinars and events), each automated from publishing to distribution through social, the email newsletter and retargeting campaigns.
Run North America website operations: all site content, the move off the China front-end queue to my own Next.js build with 16 comparison pages and the Sanity CMS, and the current redesign with our designer.
Built custom funnel reports, a marketing dashboard and an internal weekly board the management team reads through MCP, so team meetings moved from status updates to blockers.

AI Product Founder and Marketing Consultant | Self-Employed | San Francisco, CA

Nov 2025 – Present

Built and launched nine AI go-to-market products on my own alongside client consulting, and keep building alongside my current role.
Helped Stratefuse, a RevOps consultancy, shape its go-to-market strategy and carry it into execution, built and optimized its six-page site solo with AI in 24 hours, and set up the HubSpot-based tech stack behind it.
Built Career Capybara, a job-search workspace where four agents read the job and rewrite the resume for it.
Built AdRadar, which labels a competitor's public LinkedIn ads with AI and reads them as one campaign, showing which messages and offers it keeps funding.
Built TechSpy, a stack scanner that gives sales reps a one-line verdict on whether an account is worth a sequence slot, cutting a ten-minute, three-tab check to seconds.

Senior Digital Marketing Manager (Growth & Operations) | PingPong | San Mateo, CA

Aug 2023 – Oct 2025

Owned all marketing and operations automation, and from 2023 brought AI into it: a five-check lead qualification chain that routes restricted categories to compliance, and support drafts on PII-stripped tickets that CS sends.
Built the ABM funnel with BD on ZoomInfo and then 6sense for the move upmarket, plus the enterprise web pages and collateral BD needed.
Managed the site migration, revamp and website operations: three rebuilds moving a China-controlled HTML site to Webflow with a component library and gated publishing, so regional teams built campaign pages in hours.
Led the marketing function through a six-month gap in marketing leadership and three manager changes, with a team of 3 to 7, up to 3 direct reports and about $1M a year in paid budget.
Supported the separate Southeast Asia team on digital with a global playbook and performance guidance, and fixed the cross-domain break that had left their paid attribution dark for two months.

Marketing Manager (Ads & Lifecycle) | PingPong | San Mateo, CA

Oct 2021 – Sep 2023

Led paid demand generation and lifecycle for a fintech cross-border payments line while annual revenue grew from $2M to $76M in year one and past $250M in year two.
Consolidated scattered paid accounts and rebuilt Google and LinkedIn by supplier segment, cutting LinkedIn CPL from $300+ to about $160 and Google registration cost from $90+ to about $35 at steady volume.
Built the lifecycle program from scratch as three cadences triggered by identity verification (KYC) state, lifting registration to KYC submission from roughly 10% into the 35 to 40% range.
Took on Salesforce administration, onboarded HubSpot and automated routing so Sales saw new leads in 1 to 2 minutes, down from 12 hours.
Launched a B2B affiliate program drawing on my B2C affiliate years at ToLocal, and grew it to thirty-odd active partners over about two years.

Vice President of Marketing (promoted from Marketing Manager) | ToLocal Inc. | Mountain View, CA

Jul 2015 – Aug 2021

Joined a performance and affiliate marketing agency as employee number one and its first marketer, and was promoted to VP of Marketing.
Built and led a US team of 7 from an intern pipeline, mostly media buyers plus a partnership manager, and set up a second team of 5 in China.
Owned a $10M annual media budget at over 80% ROI and reported to the founder on profit and loss.
Led business development at trade shows and managed about ten key accounts directly.

Education

Master of Business Administration · San Francisco State University

Bachelor of Business Administration · China University of Geosciences

Skills & Tools

Channels: paid search, paid social, programmatic, lifecycle and email, SEO and generative engine optimization (GEO), account-based marketing, affiliate and partner, events.

Platforms: Salesforce, HubSpot, 6sense, ZoomInfo, Salesloft, Clay, Google Ads, LinkedIn Ads, Meta Ads, Google Analytics 4, Google Tag Manager, Webflow, Sanity, Zapier.

AI: OpenAI, Claude, Gemini and DeepSeek in multi-model pipelines; prompt and schema design; agent guardrails with a human approval step; Model Context Protocol (MCP).

Certifications: Salesforce Certified Administrator, HubSpot Marketing Software, Demandbase Solutions, Account-Based Marketing Foundations, Advanced Lead Generation. Languages: English, Chinese.

Case studies, the nine tools and how each was built: hi-daniel.com


Daniel Liu B2B Demand Strategy \| Paid, Partner and Emerging Channels San Francisco, CA \| (650) 504-1208 \| danielsfsu@gmail.com \| linkedin.com/in/ziqinliu \| hi-daniel.com Professional Summary Ten years of B2B demand on paid and partner channels. At PingPong I ran paid and the affiliate program as a payments line grew from $2M past $250M in annual revenue; at ThinkingAI, agent pipelines carry the repeat work. Work Experience Senior Marketing Manager \| ThinkingAI \| Sunnyvale, CA Jun 2026 – Present Own every inbound channel for a mobile-first product analytics platform from strategy through execution and optimization, with the ICP set at companies that ship a mobile app and a multi-agent team running B2B user acquisition. Built the North America revenue operations stack: conversion tracking, CRM integration, data enrichment and normalization, automated lead assignment, and automated marketing email and sales outreach cadences. Optimized the account on a two-week agent loop, with cheap models cleaning competitor keyword exports and Claude setting intent and copy; cost per conversion fell from roughly $3,000 to about $100. Built the North America ABM universe in Apollo from technology signals; hand-checked samples showed new, true-fit accounts rising from about 2% to 31%, and I tiered them on free data so paid enrichment went only to top tiers. Rebuilt the content hub around six pillars (product updates, newsroom, blog, case studies, on-demand webinars and events), each automated from publishing to distribution through social, the email newsletter and retargeting campaigns. AI Product Founder and Marketing Consultant \| Self-Employed \| San Francisco, CA Nov 2025 – Present Built and launched nine AI go-to-market tools on my own, writing the positioning and landing pages as well as the code; the work continues alongside my current role. Helped Stratefuse, a RevOps consultancy, shape its go-to-market strategy and carry it into execution, built and optimized its six-page site solo with AI in 24 hours, and set up the HubSpot-based tech stack behind it. Built Career Capybara, a job-search workspace where four agents read the job and rewrite the resume for it. Built AdRadar, which labels a competitor's public LinkedIn ads with AI and reads them as one campaign, showing which messages and offers it keeps funding. Built TechSpy, a stack scanner that gives sales reps a one-line verdict on whether an account is worth a sequence slot, cutting a ten-minute, three-tab check to seconds. Moved the 35 system prompts behind these tools into one console, bound to named models and allowed tools, so changing what an agent does is a logged configuration change. Senior Digital Marketing Manager (Growth & Operations) \| PingPong \| San Mateo, CA Aug 2023 – Oct 2025 Set channel mix for about $1M a year in paid across Google, Meta, LinkedIn and programmatic, cutting campaigns by supplier segment so budget moved the week a segment's CRM-reconciled cost per lead moved. Ran the ABM funnel on ZoomInfo and then 6sense for PingPong's move upmarket, pushing site-visit and intent signals to Slack and Salesforce so BD worked accounts already showing interest. Owned all marketing and operations automation, and from 2023 brought AI into it: a content pipeline that lifted the blog to 2–3 posts a week, and a Zapier lead-vetting chain that cut first response from hours to minutes. Managed the site migration, revamp and website operations, moving a China-controlled HTML site to Webflow with a component library and gated publishing, so regional teams built campaign pages in hours. Led the marketing function through a six-month gap in marketing leadership and three manager changes. Traced a two-month attribution outage in the Southeast Asia launch to tracking copied from North America, fixed it in Google Tag Manager, and wrote the checklist later regional launches ran before going live. Marketing Manager (Ads & Lifecycle) \| PingPong \| San Mateo, CA Oct 2021 – Sep 2023 Rebuilt LinkedIn audiences from accounts that had registered and transacted, excluding segments that could never pass onboarding, cutting cost per lead from over $300 to about $160 with volume held. Re-scored Google keywords on how many clicks became serviceable registrations, adding negatives weekly and matching a landing page per segment, cutting cost per registration from over $90 to about $35. Tagged each conversion to campaign, keyword and audience and reconciled it to the CRM, giving Finance an auditable CAC as revenue grew from $2M to $76M, then past $250M. Launched the B2B fintech affiliate program from zero, paying conservative CPA held until KYC approval and carrying each click ID into Salesforce so closed revenue traced to its partner; thirty-odd active over two years. Vice President of Marketing (promoted from Marketing Manager) \| ToLocal Inc. \| Mountain View, CA Jul 2015 – Aug 2021 Joined as employee number one and first marketer, grew into VP of Marketing, and led a US team of 7, mostly media buyers plus a partnership manager, with 5 more in China. Ran a $10M annual media budget at over 80% ROI across Meta, DSP and affiliate traffic for clients, and handled partner selection, terms, lead validation and payout disputes. Education Master of Business Administration · San Francisco State University Bachelor of Business Administration · China University of Geosciences Skills & Tools Strategy: ICP and segment priorities, buying groups, intent signals, channel roles and mix, budget recommendations, experimentation roadmaps, pilots with scale-or-stop thresholds. Channels: paid search, paid social, programmatic and DSP, affiliate and third-party demand partnerships, account-based marketing, AI search and LLM citation, landing page and offer testing. Platforms: Google Ads, LinkedIn Ads, Meta Ads, Google Analytics 4, Google Tag Manager, Salesforce, HubSpot, 6sense, ZoomInfo, Demandbase, Webflow, Zapier. Measurement: cost per lead and cost per registration, payback and return on investment, cross-domain measurement, multi-touch attribution, funnel analysis, A/B and multivariate testing, Looker Studio, Power BI. AI and automation: OpenAI, Gemini, Claude, DeepSeek, ad policy review pipelines, LLM-assisted reporting, campaign QA with a human approval step. Certifications: Salesforce Certified Administrator, HubSpot Marketing Software, Demandbase Solutions, Account-Based Marketing Foundations, Advanced Lead Generation. Languages: English, Chinese. Case studies, the nine tools and how each was built: hi-daniel.com

Daniel Liu

B2B Demand Strategy | Paid, Partner and Emerging Channels

San Francisco, CA | (650) 504-1208 | danielsfsu@gmail.com | linkedin.com/in/ziqinliu | hi-daniel.com

Professional Summary

Ten years of B2B demand on paid and partner channels. At PingPong I ran paid and the affiliate program as a payments line grew from $2M past $250M in annual revenue; at ThinkingAI, agent pipelines carry the repeat work.

Work Experience

Senior Marketing Manager | ThinkingAI | Sunnyvale, CA

Jun 2026 – Present

Own every inbound channel for a mobile-first product analytics platform from strategy through execution and optimization, with the ICP set at companies that ship a mobile app and a multi-agent team running B2B user acquisition.
Built the North America revenue operations stack: conversion tracking, CRM integration, data enrichment and normalization, automated lead assignment, and automated marketing email and sales outreach cadences.
Optimized the account on a two-week agent loop, with cheap models cleaning competitor keyword exports and Claude setting intent and copy; cost per conversion fell from roughly $3,000 to about $100.
Built the North America ABM universe in Apollo from technology signals; hand-checked samples showed new, true-fit accounts rising from about 2% to 31%, and I tiered them on free data so paid enrichment went only to top tiers.
Rebuilt the content hub around six pillars (product updates, newsroom, blog, case studies, on-demand webinars and events), each automated from publishing to distribution through social, the email newsletter and retargeting campaigns.

AI Product Founder and Marketing Consultant | Self-Employed | San Francisco, CA

Nov 2025 – Present

Built and launched nine AI go-to-market tools on my own, writing the positioning and landing pages as well as the code; the work continues alongside my current role.
Helped Stratefuse, a RevOps consultancy, shape its go-to-market strategy and carry it into execution, built and optimized its six-page site solo with AI in 24 hours, and set up the HubSpot-based tech stack behind it.
Built Career Capybara, a job-search workspace where four agents read the job and rewrite the resume for it.
Built AdRadar, which labels a competitor's public LinkedIn ads with AI and reads them as one campaign, showing which messages and offers it keeps funding.
Built TechSpy, a stack scanner that gives sales reps a one-line verdict on whether an account is worth a sequence slot, cutting a ten-minute, three-tab check to seconds.
Moved the 35 system prompts behind these tools into one console, bound to named models and allowed tools, so changing what an agent does is a logged configuration change.

Senior Digital Marketing Manager (Growth & Operations) | PingPong | San Mateo, CA

Aug 2023 – Oct 2025

Set channel mix for about $1M a year in paid across Google, Meta, LinkedIn and programmatic, cutting campaigns by supplier segment so budget moved the week a segment's CRM-reconciled cost per lead moved.
Ran the ABM funnel on ZoomInfo and then 6sense for PingPong's move upmarket, pushing site-visit and intent signals to Slack and Salesforce so BD worked accounts already showing interest.
Owned all marketing and operations automation, and from 2023 brought AI into it: a content pipeline that lifted the blog to 2–3 posts a week, and a Zapier lead-vetting chain that cut first response from hours to minutes.
Managed the site migration, revamp and website operations, moving a China-controlled HTML site to Webflow with a component library and gated publishing, so regional teams built campaign pages in hours.
Led the marketing function through a six-month gap in marketing leadership and three manager changes.
Traced a two-month attribution outage in the Southeast Asia launch to tracking copied from North America, fixed it in Google Tag Manager, and wrote the checklist later regional launches ran before going live.

Marketing Manager (Ads & Lifecycle) | PingPong | San Mateo, CA

Oct 2021 – Sep 2023

Rebuilt LinkedIn audiences from accounts that had registered and transacted, excluding segments that could never pass onboarding, cutting cost per lead from over $300 to about $160 with volume held.
Re-scored Google keywords on how many clicks became serviceable registrations, adding negatives weekly and matching a landing page per segment, cutting cost per registration from over $90 to about $35.
Tagged each conversion to campaign, keyword and audience and reconciled it to the CRM, giving Finance an auditable CAC as revenue grew from $2M to $76M, then past $250M.
Launched the B2B fintech affiliate program from zero, paying conservative CPA held until KYC approval and carrying each click ID into Salesforce so closed revenue traced to its partner; thirty-odd active over two years.

Vice President of Marketing (promoted from Marketing Manager) | ToLocal Inc. | Mountain View, CA

Jul 2015 – Aug 2021

Joined as employee number one and first marketer, grew into VP of Marketing, and led a US team of 7, mostly media buyers plus a partnership manager, with 5 more in China.
Ran a $10M annual media budget at over 80% ROI across Meta, DSP and affiliate traffic for clients, and handled partner selection, terms, lead validation and payout disputes.

Education

Master of Business Administration · San Francisco State University

Bachelor of Business Administration · China University of Geosciences

Skills & Tools

Strategy: ICP and segment priorities, buying groups, intent signals, channel roles and mix, budget recommendations, experimentation roadmaps, pilots with scale-or-stop thresholds.

Channels: paid search, paid social, programmatic and DSP, affiliate and third-party demand partnerships, account-based marketing, AI search and LLM citation, landing page and offer testing.

Platforms: Google Ads, LinkedIn Ads, Meta Ads, Google Analytics 4, Google Tag Manager, Salesforce, HubSpot, 6sense, ZoomInfo, Demandbase, Webflow, Zapier.

Measurement: cost per lead and cost per registration, payback and return on investment, cross-domain measurement, multi-touch attribution, funnel analysis, A/B and multivariate testing, Looker Studio, Power BI.

AI and automation: OpenAI, Gemini, Claude, DeepSeek, ad policy review pipelines, LLM-assisted reporting, campaign QA with a human approval step.

Certifications: Salesforce Certified Administrator, HubSpot Marketing Software, Demandbase Solutions, Account-Based Marketing Foundations, Advanced Lead Generation. Languages: English, Chinese.

Case studies, the nine tools and how each was built: hi-daniel.com


Daniel Liu B2B Segment Demand Strategy \| Mid-Market and SMB Journeys San Francisco, CA \| (650) 504-1208 \| danielsfsu@gmail.com \| linkedin.com/in/ziqinliu \| hi-daniel.com Professional Summary B2B demand marketer, ten years running self-serve and sales-assisted funnels side by side. At PingPong I built the SMB engine and then the enterprise motion, on a payments line that grew from $2M past $250M. Work Experience Senior Marketing Manager \| ThinkingAI \| Sunnyvale, CA Jun 2026 – Present Own every inbound channel for a B2B product analytics SaaS company, reporting to the Head of Marketing, taking Google and LinkedIn campaigns from strategy through execution and optimization with a multi-agent team that runs B2B user acquisition. Built the North America revenue operations stack: conversion tracking, CRM integration, data enrichment and normalization, automated lead assignment, and automated marketing email and sales outreach cadences; cost per conversion fell from roughly $3,000 to about $100. Built the enterprise target universe in Apollo from technology signals; hand-checked samples showed new, true-fit accounts rising from about 2% to 31%, tiered on free data before any paid enrichment. Rebuilt the content hub around six pillars (product updates, newsroom, blog, case studies, on-demand webinars and events), each automated from publishing to distribution through social, the email newsletter and retargeting; the newsletter list grew from zero to 1,000+. Had GPT-4o vision read Ai4 badge photos and fuzzy-match them to HubSpot, then cut paid-search and test rows from the booth list with reasons logged, so the follow-up list was defensible before the booth came down. AI Product Founder and Marketing Consultant \| Self-Employed \| San Francisco, CA Nov 2025 – Present Built and launched nine AI go-to-market tools on my own, writing the positioning and landing pages as well as the code; the work continues alongside my current role. Helped Stratefuse, a RevOps consultancy, shape its go-to-market strategy and carry it into execution, built and optimized its six-page site solo with AI in 24 hours, and set up the HubSpot-based tech stack behind it. Built Career Capybara, a job-search workspace where four agents read the job and rewrite the resume for it. Built AdRadar, which labels a competitor's public LinkedIn ads with AI and reads them as one campaign, showing which messages and offers it keeps funding. Built TechSpy, a stack scanner that gives sales reps a one-line verdict on whether an account is worth a sequence slot, cutting a ten-minute, three-tab check to seconds. Moved the 35 system prompts behind these tools into one console, bound to named models and allowed tools, so changing what an agent does is a logged configuration change. Senior Digital Marketing Manager (Growth & Operations) \| PingPong \| San Mateo, CA Aug 2023 – Oct 2025 Ran SMB and enterprise as two motions: a self-serve funnel on paid and lifecycle, and an ABM funnel on ZoomInfo then 6sense with its own pages and BD collateral, where site-visit signals reached reps in Slack while warm. Owned all marketing and operations automation, and from 2023 brought AI into it: a five-question OpenAI chain, built with BD and compliance, cut first response from hours to minutes. Put HubSpot and Salesforce on one synced, deduped master dataset with UTM rules on write, feeding eight channel, lifecycle and pipeline reports that agree, so a segment read no longer returned two answers. Led the marketing function through a six-month gap in marketing leadership and three manager changes. Managed the site migration, revamp and website operations: three Webflow rebuilds with enterprise pages for the upmarket move and one locked component library, so regions built campaign pages in hours with the same tracking. Marketing Manager (Ads & Lifecycle) \| PingPong \| San Mateo, CA Oct 2021 – Sep 2023 Built paid and lifecycle for a new SMB payments line with no inbound history, the channels producing over 85% of lead volume as annual revenue grew from $2M to $76M, then past $250M. Cut campaigns by supplier segment and rebuilt audiences from accounts that transacted, taking LinkedIn cost per lead from over $300 to about $160 and Google registration cost from over $90 to about $35, volume held. Replaced an 11-email calendar with five account-state triggers synced from Salesforce's KYC field into HubSpot, moving registration to identity verification (KYC) submission from roughly 10% to 35 to 40%. Took over the Salesforce admin seat and custom-built a HubSpot, Salesforce and Salesloft integration that enriches and round-robins new leads, so Sales picked one up in 1 to 2 minutes, down from 12 hours. Vice President of Marketing (promoted from Marketing Manager) \| ToLocal Inc. \| Mountain View, CA Jul 2015 – Aug 2021 Joined as employee number one and first marketer, grew into VP of Marketing, and led a US team of 7, mostly media buyers plus a partnership manager, with 5 more in China. Ran a $10M annual media budget at over 80% ROI, buying Meta, DSP and affiliate traffic for B2C clients in home improvement and clean energy, and personally managed about ten key accounts. Education Master of Business Administration · San Francisco State University Bachelor of Business Administration · China University of Geosciences Skills & Tools Strategy: segment priorities and ICP, buyer journeys, offers and value propositions, program portfolio and quarterly roadmap, funnel assumptions and pipeline goals, testing agendas with scale-or-stop thresholds. Channels: paid search, paid social, programmatic and DSP, lifecycle and email, content and SEO, events, partner and affiliate, account-based marketing. Funnel and RevOps: lead scoring and routing, qualification thresholds, speed-to-lead, SDR and Sales handoff, HubSpot to Salesforce sync, cohort reads, multi-touch attribution, A/B and multivariate testing. Platforms: Salesforce, HubSpot, 6sense, ZoomInfo, Apollo, Clay, Salesloft, Google Ads, LinkedIn Ads, Meta Ads, Google Analytics 4, Google Tag Manager, Webflow, Sanity, Zapier. AI and automation: OpenAI, Gemini, Claude, DeepSeek, agent pipelines with human review, LLM-assisted research, reporting and campaign QA. Certifications: Salesforce Certified Administrator, HubSpot Marketing Software, Demandbase Solutions, Account-Based Marketing Foundations, Advanced Lead Generation. Languages: English, Chinese. Case studies, the nine tools and how each was built: hi-daniel.com

Daniel Liu

B2B Segment Demand Strategy | Mid-Market and SMB Journeys

San Francisco, CA | (650) 504-1208 | danielsfsu@gmail.com | linkedin.com/in/ziqinliu | hi-daniel.com

Professional Summary

B2B demand marketer, ten years running self-serve and sales-assisted funnels side by side. At PingPong I built the SMB engine and then the enterprise motion, on a payments line that grew from $2M past $250M.

Work Experience

Senior Marketing Manager | ThinkingAI | Sunnyvale, CA

Jun 2026 – Present

Own every inbound channel for a B2B product analytics SaaS company, reporting to the Head of Marketing, taking Google and LinkedIn campaigns from strategy through execution and optimization with a multi-agent team that runs B2B user acquisition.
Built the North America revenue operations stack: conversion tracking, CRM integration, data enrichment and normalization, automated lead assignment, and automated marketing email and sales outreach cadences; cost per conversion fell from roughly $3,000 to about $100.
Built the enterprise target universe in Apollo from technology signals; hand-checked samples showed new, true-fit accounts rising from about 2% to 31%, tiered on free data before any paid enrichment.
Rebuilt the content hub around six pillars (product updates, newsroom, blog, case studies, on-demand webinars and events), each automated from publishing to distribution through social, the email newsletter and retargeting; the newsletter list grew from zero to 1,000+.
Had GPT-4o vision read Ai4 badge photos and fuzzy-match them to HubSpot, then cut paid-search and test rows from the booth list with reasons logged, so the follow-up list was defensible before the booth came down.

AI Product Founder and Marketing Consultant | Self-Employed | San Francisco, CA

Nov 2025 – Present

Built and launched nine AI go-to-market tools on my own, writing the positioning and landing pages as well as the code; the work continues alongside my current role.
Helped Stratefuse, a RevOps consultancy, shape its go-to-market strategy and carry it into execution, built and optimized its six-page site solo with AI in 24 hours, and set up the HubSpot-based tech stack behind it.
Built Career Capybara, a job-search workspace where four agents read the job and rewrite the resume for it.
Built AdRadar, which labels a competitor's public LinkedIn ads with AI and reads them as one campaign, showing which messages and offers it keeps funding.
Built TechSpy, a stack scanner that gives sales reps a one-line verdict on whether an account is worth a sequence slot, cutting a ten-minute, three-tab check to seconds.
Moved the 35 system prompts behind these tools into one console, bound to named models and allowed tools, so changing what an agent does is a logged configuration change.

Senior Digital Marketing Manager (Growth & Operations) | PingPong | San Mateo, CA

Aug 2023 – Oct 2025

Ran SMB and enterprise as two motions: a self-serve funnel on paid and lifecycle, and an ABM funnel on ZoomInfo then 6sense with its own pages and BD collateral, where site-visit signals reached reps in Slack while warm.
Owned all marketing and operations automation, and from 2023 brought AI into it: a five-question OpenAI chain, built with BD and compliance, cut first response from hours to minutes.
Put HubSpot and Salesforce on one synced, deduped master dataset with UTM rules on write, feeding eight channel, lifecycle and pipeline reports that agree, so a segment read no longer returned two answers.
Led the marketing function through a six-month gap in marketing leadership and three manager changes.
Managed the site migration, revamp and website operations: three Webflow rebuilds with enterprise pages for the upmarket move and one locked component library, so regions built campaign pages in hours with the same tracking.

Marketing Manager (Ads & Lifecycle) | PingPong | San Mateo, CA

Oct 2021 – Sep 2023

Built paid and lifecycle for a new SMB payments line with no inbound history, the channels producing over 85% of lead volume as annual revenue grew from $2M to $76M, then past $250M.
Cut campaigns by supplier segment and rebuilt audiences from accounts that transacted, taking LinkedIn cost per lead from over $300 to about $160 and Google registration cost from over $90 to about $35, volume held.
Replaced an 11-email calendar with five account-state triggers synced from Salesforce's KYC field into HubSpot, moving registration to identity verification (KYC) submission from roughly 10% to 35 to 40%.
Took over the Salesforce admin seat and custom-built a HubSpot, Salesforce and Salesloft integration that enriches and round-robins new leads, so Sales picked one up in 1 to 2 minutes, down from 12 hours.

Vice President of Marketing (promoted from Marketing Manager) | ToLocal Inc. | Mountain View, CA

Jul 2015 – Aug 2021

Joined as employee number one and first marketer, grew into VP of Marketing, and led a US team of 7, mostly media buyers plus a partnership manager, with 5 more in China.
Ran a $10M annual media budget at over 80% ROI, buying Meta, DSP and affiliate traffic for B2C clients in home improvement and clean energy, and personally managed about ten key accounts.

Education

Master of Business Administration · San Francisco State University

Bachelor of Business Administration · China University of Geosciences

Skills & Tools

Strategy: segment priorities and ICP, buyer journeys, offers and value propositions, program portfolio and quarterly roadmap, funnel assumptions and pipeline goals, testing agendas with scale-or-stop thresholds.

Channels: paid search, paid social, programmatic and DSP, lifecycle and email, content and SEO, events, partner and affiliate, account-based marketing.

Funnel and RevOps: lead scoring and routing, qualification thresholds, speed-to-lead, SDR and Sales handoff, HubSpot to Salesforce sync, cohort reads, multi-touch attribution, A/B and multivariate testing.

Platforms: Salesforce, HubSpot, 6sense, ZoomInfo, Apollo, Clay, Salesloft, Google Ads, LinkedIn Ads, Meta Ads, Google Analytics 4, Google Tag Manager, Webflow, Sanity, Zapier.

AI and automation: OpenAI, Gemini, Claude, DeepSeek, agent pipelines with human review, LLM-assisted research, reporting and campaign QA.

Certifications: Salesforce Certified Administrator, HubSpot Marketing Software, Demandbase Solutions, Account-Based Marketing Foundations, Advanced Lead Generation. Languages: English, Chinese.

Case studies, the nine tools and how each was built: hi-daniel.com


Daniel Liu B2B Paid Marketing Leader \| Search, Social, Programmatic and Affiliate San Francisco, CA \| (650) 504-1208 \| danielsfsu@gmail.com \| linkedin.com/in/ziqinliu \| hi-daniel.com Professional Summary Ten years of paid across search, social, programmatic and affiliate: a $10M media budget at ToLocal, then about $1M a year at PingPong as a payments line grew from $2M past $250M. Now I build the AI that runs paid. Work Experience Senior Marketing Manager \| ThinkingAI \| Sunnyvale, CA Jun 2026 – Present Own Google and LinkedIn inbound campaigns for a mobile-first product analytics platform from strategy through execution and optimization, reporting to the Head of Marketing, with a multi-agent team running B2B user acquisition. Rebuilt conversion tracking and the CRM integration around primary and secondary goals, with UTMs carried from ad to CRM, and added enrichment, automated lead assignment and outreach cadences behind it. Optimized the account on a two-week agent loop, models proposing bids, negatives and copy and me making the call; cost per conversion fell from roughly $3,000 to about $100. Rebuilt competitor keyword research as a cost-tiered model pipeline: a cheap model cleans the export, Claude sorts terms by intent against rival ad claims, and the Google Ads API ships the buy list and negatives in a day. Built the North America ABM universe from install signals such as AppsFlyer and Unity, hand-checking 100 companies each round; new, true-fit accounts rose from about 2% to 31%, so paid enrichment went only to fits. AI Product Founder and Marketing Consultant \| Self-Employed \| San Francisco, CA Nov 2025 – Present Built and launched nine AI go-to-market tools on my own, writing the positioning and landing pages as well as the code; the work continues alongside my current role. Helped Stratefuse, a RevOps consultancy, shape its go-to-market strategy and carry it into execution, built and optimized its six-page site solo with AI in 24 hours, and set up the HubSpot-based tech stack behind it. Built Career Capybara, a job-search workspace where four agents read the job and rewrite the resume for it. Built AdRadar, which labels a competitor's public LinkedIn ads with AI and reads them as one campaign, showing which messages and offers it keeps funding. Built TechSpy, a stack scanner that gives sales reps a one-line verdict on whether an account is worth a sequence slot, cutting a ten-minute, three-tab check to seconds. Moved the 35 system prompts behind these tools into one console, bound to named models and allowed tools, so changing what an agent does is a logged configuration change. Senior Digital Marketing Manager (Growth & Operations) \| PingPong \| San Mateo, CA Aug 2023 – Oct 2025 Owned about $1M a year in paid across Google, Meta, LinkedIn and programmatic for SMB and enterprise with a team of 3 to 7 and up to 3 direct reports, setting channel mix each cycle on cost per lead and payback. Owned all marketing and operations automation, and from 2023 brought AI into it, including AdGuard, an internal tool that checked the Southeast Asia team's ads against platform policy before spend. Ran the ABM funnel on ZoomInfo and then 6sense intent for enterprise targeting, and wrote the global digital playbook the Southeast Asia team ran their paid programs on. Managed the site migration, revamp and website operations, moving a China-controlled HTML site to Webflow with a component library and gated publishing, so regional teams built campaign pages in hours. Led the marketing function through a six-month gap in marketing leadership and three manager changes. Fixed in Tag Manager a two-month-old bug that stripped ad-sourced lead history crossing into the product domain, and made the check a regional launch gate. Marketing Manager (Ads & Lifecycle) \| PingPong \| San Mateo, CA Oct 2021 – Sep 2023 Led paid acquisition on the B2B cross-border payments line as annual revenue grew from $2M to $76M in year one and past $250M in year two. Rebuilt LinkedIn audiences from accounts that registered and transacted and re-scored Google keywords on registrations sales could serve: LinkedIn CPL went from $300+ to about $160, Google from $90+ to about $35, volume held. Launched a B2B fintech affiliate program from zero: partners began on conservative CPA and earned rev-share only once their accounts transacted like direct ones, and partner IDs in Salesforce rolled closed revenue up per partner. Took over Salesforce, onboarded HubSpot and built routing, so a paid lead reached the right rep with its context in 1 to 2 minutes, down from about 12 hours. Vice President of Marketing (promoted from Marketing Manager) \| ToLocal Inc. \| Mountain View, CA Jul 2015 – Aug 2021 Joined as employee number one and first marketer, grew into VP of Marketing, and led a US team of 7, mostly media buyers plus a partnership manager, with 5 more in China. Ran a $10M annual media budget across paid social, DSP and affiliate networks at over 80% ROI, negotiating terms with ad networks and affiliate aggregators. Education Master of Business Administration · San Francisco State University Bachelor of Business Administration · China University of Geosciences Skills & Tools Paid channels: paid search, paid social (LinkedIn, Meta), account-based advertising, programmatic and DSP, affiliate and partner networks, AI search and LLM citation, landing page and offer testing. Planning and measurement: forecasting and budget pacing, cost per lead and payback, unit economics, cross-domain measurement, multi-touch attribution, A/B and multivariate testing, cohort reads, Looker Studio, Power BI. Platforms: Google Ads, LinkedIn Ads, Meta Ads and Marketing API, Google Analytics 4, Google Tag Manager, Salesforce, HubSpot, 6sense, ZoomInfo, Demandbase, Webflow, Zapier. AI and automation: OpenAI, Gemini, Claude, DeepSeek, competitor ad intelligence, policy-aware copy and ad review pipelines, campaign builds behind approval gates, LLM-assisted reporting. Certifications: Salesforce Certified Administrator, HubSpot Marketing Software, Demandbase Solutions, Account-Based Marketing Foundations, Advanced Lead Generation. Languages: English, Chinese. Case studies, the nine tools and how each was built: hi-daniel.com

Daniel Liu

B2B Paid Marketing Leader | Search, Social, Programmatic and Affiliate

San Francisco, CA | (650) 504-1208 | danielsfsu@gmail.com | linkedin.com/in/ziqinliu | hi-daniel.com

Professional Summary

Ten years of paid across search, social, programmatic and affiliate: a $10M media budget at ToLocal, then about $1M a year at PingPong as a payments line grew from $2M past $250M. Now I build the AI that runs paid.

Work Experience

Senior Marketing Manager | ThinkingAI | Sunnyvale, CA

Jun 2026 – Present

Own Google and LinkedIn inbound campaigns for a mobile-first product analytics platform from strategy through execution and optimization, reporting to the Head of Marketing, with a multi-agent team running B2B user acquisition.
Rebuilt conversion tracking and the CRM integration around primary and secondary goals, with UTMs carried from ad to CRM, and added enrichment, automated lead assignment and outreach cadences behind it.
Optimized the account on a two-week agent loop, models proposing bids, negatives and copy and me making the call; cost per conversion fell from roughly $3,000 to about $100.
Rebuilt competitor keyword research as a cost-tiered model pipeline: a cheap model cleans the export, Claude sorts terms by intent against rival ad claims, and the Google Ads API ships the buy list and negatives in a day.
Built the North America ABM universe from install signals such as AppsFlyer and Unity, hand-checking 100 companies each round; new, true-fit accounts rose from about 2% to 31%, so paid enrichment went only to fits.

AI Product Founder and Marketing Consultant | Self-Employed | San Francisco, CA

Nov 2025 – Present

Built and launched nine AI go-to-market tools on my own, writing the positioning and landing pages as well as the code; the work continues alongside my current role.
Helped Stratefuse, a RevOps consultancy, shape its go-to-market strategy and carry it into execution, built and optimized its six-page site solo with AI in 24 hours, and set up the HubSpot-based tech stack behind it.
Built Career Capybara, a job-search workspace where four agents read the job and rewrite the resume for it.
Built AdRadar, which labels a competitor's public LinkedIn ads with AI and reads them as one campaign, showing which messages and offers it keeps funding.
Built TechSpy, a stack scanner that gives sales reps a one-line verdict on whether an account is worth a sequence slot, cutting a ten-minute, three-tab check to seconds.
Moved the 35 system prompts behind these tools into one console, bound to named models and allowed tools, so changing what an agent does is a logged configuration change.

Senior Digital Marketing Manager (Growth & Operations) | PingPong | San Mateo, CA

Aug 2023 – Oct 2025

Owned about $1M a year in paid across Google, Meta, LinkedIn and programmatic for SMB and enterprise with a team of 3 to 7 and up to 3 direct reports, setting channel mix each cycle on cost per lead and payback.
Owned all marketing and operations automation, and from 2023 brought AI into it, including AdGuard, an internal tool that checked the Southeast Asia team's ads against platform policy before spend.
Ran the ABM funnel on ZoomInfo and then 6sense intent for enterprise targeting, and wrote the global digital playbook the Southeast Asia team ran their paid programs on.
Managed the site migration, revamp and website operations, moving a China-controlled HTML site to Webflow with a component library and gated publishing, so regional teams built campaign pages in hours.
Led the marketing function through a six-month gap in marketing leadership and three manager changes.
Fixed in Tag Manager a two-month-old bug that stripped ad-sourced lead history crossing into the product domain, and made the check a regional launch gate.

Marketing Manager (Ads & Lifecycle) | PingPong | San Mateo, CA

Oct 2021 – Sep 2023

Led paid acquisition on the B2B cross-border payments line as annual revenue grew from $2M to $76M in year one and past $250M in year two.
Rebuilt LinkedIn audiences from accounts that registered and transacted and re-scored Google keywords on registrations sales could serve: LinkedIn CPL went from $300+ to about $160, Google from $90+ to about $35, volume held.
Launched a B2B fintech affiliate program from zero: partners began on conservative CPA and earned rev-share only once their accounts transacted like direct ones, and partner IDs in Salesforce rolled closed revenue up per partner.
Took over Salesforce, onboarded HubSpot and built routing, so a paid lead reached the right rep with its context in 1 to 2 minutes, down from about 12 hours.

Vice President of Marketing (promoted from Marketing Manager) | ToLocal Inc. | Mountain View, CA

Jul 2015 – Aug 2021

Joined as employee number one and first marketer, grew into VP of Marketing, and led a US team of 7, mostly media buyers plus a partnership manager, with 5 more in China.
Ran a $10M annual media budget across paid social, DSP and affiliate networks at over 80% ROI, negotiating terms with ad networks and affiliate aggregators.

Education

Master of Business Administration · San Francisco State University

Bachelor of Business Administration · China University of Geosciences

Skills & Tools

Paid channels: paid search, paid social (LinkedIn, Meta), account-based advertising, programmatic and DSP, affiliate and partner networks, AI search and LLM citation, landing page and offer testing.

Planning and measurement: forecasting and budget pacing, cost per lead and payback, unit economics, cross-domain measurement, multi-touch attribution, A/B and multivariate testing, cohort reads, Looker Studio, Power BI.

Platforms: Google Ads, LinkedIn Ads, Meta Ads and Marketing API, Google Analytics 4, Google Tag Manager, Salesforce, HubSpot, 6sense, ZoomInfo, Demandbase, Webflow, Zapier.

AI and automation: OpenAI, Gemini, Claude, DeepSeek, competitor ad intelligence, policy-aware copy and ad review pipelines, campaign builds behind approval gates, LLM-assisted reporting.

Certifications: Salesforce Certified Administrator, HubSpot Marketing Software, Demandbase Solutions, Account-Based Marketing Foundations, Advanced Lead Generation. Languages: English, Chinese.

Case studies, the nine tools and how each was built: hi-daniel.com

Daniel Liu resume, six versions by role

Which role are you hiring for?

Professional Summary

Work Experience

Senior Marketing Manager | ThinkingAI | Sunnyvale, CA

AI Product Founder and Marketing Consultant | Self-Employed | San Francisco, CA

Senior Digital Marketing Manager (Growth & Operations) | PingPong | San Mateo, CA

Marketing Manager (Ads & Lifecycle) | PingPong | San Mateo, CA

Vice President of Marketing (promoted from Marketing Manager) | ToLocal Inc. | Mountain View, CA

Education

Skills & Tools

Professional Summary

Work Experience

Senior Marketing Manager | ThinkingAI | Sunnyvale, CA

AI Product Founder and Marketing Consultant | Self-Employed | San Francisco, CA

Senior Digital Marketing Manager (Growth & Operations) | PingPong | San Mateo, CA

Marketing Manager (Ads & Lifecycle) | PingPong | San Mateo, CA

Vice President of Marketing (promoted from Marketing Manager) | ToLocal Inc. | Mountain View, CA

Education

Skills & Tools

Professional Summary

Work Experience

Senior Marketing Manager | ThinkingAI | Sunnyvale, CA

AI Product Founder and Marketing Consultant | Self-Employed | San Francisco, CA

Senior Digital Marketing Manager (Growth & Operations) | PingPong | San Mateo, CA

Marketing Manager (Ads & Lifecycle) | PingPong | San Mateo, CA

Vice President of Marketing (promoted from Marketing Manager) | ToLocal Inc. | Mountain View, CA

Education

Skills & Tools

Professional Summary

Work Experience

Senior Marketing Manager | ThinkingAI | Sunnyvale, CA

AI Product Founder and Marketing Consultant | Self-Employed | San Francisco, CA

Senior Digital Marketing Manager (Growth & Operations) | PingPong | San Mateo, CA

Marketing Manager (Ads & Lifecycle) | PingPong | San Mateo, CA

Vice President of Marketing (promoted from Marketing Manager) | ToLocal Inc. | Mountain View, CA

Education

Skills & Tools

Professional Summary

Work Experience

Senior Marketing Manager | ThinkingAI | Sunnyvale, CA

AI Product Founder and Marketing Consultant | Self-Employed | San Francisco, CA

Senior Digital Marketing Manager (Growth & Operations) | PingPong | San Mateo, CA

Marketing Manager (Ads & Lifecycle) | PingPong | San Mateo, CA

Vice President of Marketing (promoted from Marketing Manager) | ToLocal Inc. | Mountain View, CA

Education

Skills & Tools

Professional Summary

Work Experience

Senior Marketing Manager | ThinkingAI | Sunnyvale, CA

AI Product Founder and Marketing Consultant | Self-Employed | San Francisco, CA

Senior Digital Marketing Manager (Growth & Operations) | PingPong | San Mateo, CA

Marketing Manager (Ads & Lifecycle) | PingPong | San Mateo, CA

Vice President of Marketing (promoted from Marketing Manager) | ToLocal Inc. | Mountain View, CA

Education

Skills & Tools

Professional Summary

Work Experience

Senior Marketing Manager | ThinkingAI | Sunnyvale, CA

AI Product Founder and Marketing Consultant | Self-Employed | San Francisco, CA

Senior Digital Marketing Manager (Growth & Operations) | PingPong | San Mateo, CA

Marketing Manager (Ads & Lifecycle) | PingPong | San Mateo, CA

Vice President of Marketing (promoted from Marketing Manager) | ToLocal Inc. | Mountain View, CA

Education

Skills & Tools

Professional Summary

Work Experience

Senior Marketing Manager | ThinkingAI | Sunnyvale, CA

AI Product Founder and Marketing Consultant | Self-Employed | San Francisco, CA

Senior Digital Marketing Manager (Growth & Operations) | PingPong | San Mateo, CA

Marketing Manager (Ads & Lifecycle) | PingPong | San Mateo, CA

Vice President of Marketing (promoted from Marketing Manager) | ToLocal Inc. | Mountain View, CA

Education

Skills & Tools

Professional Summary

Work Experience

Senior Marketing Manager | ThinkingAI | Sunnyvale, CA

AI Product Founder and Marketing Consultant | Self-Employed | San Francisco, CA

Senior Digital Marketing Manager (Growth & Operations) | PingPong | San Mateo, CA

Marketing Manager (Ads & Lifecycle) | PingPong | San Mateo, CA