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 \| San Francisco, CA Jun 2026 – Present Run demand generation for a mobile-first product analytics company as its only marketer, from the Google Ads account to content and the newsletter. When the content manager left a month after I joined, I replaced the role with two agent-native engines. Social went from two or three posts a week to five, and the newsletter holds about a 22% open rate. Cut a competitor's 3,156 paid keywords to a 47-term buy list on a four-model pipeline and added 239 negatives in one day, so the account starts from what the rival already pays for. Built the ABM universe from technology signals, taking net-new precision from about 2% to 31% over six filter rounds and landing 1,013 target companies. Rebuilt the site on a hand-coded Sanity CMS, which put campaign landing pages under marketing control. AI Product Founder and Marketing Consultant \| Self-Employed \| San Francisco, CA Jan 2025 – Present Shipped nine AI go-to-market tools to live URLs, each built end to end and alone, from positioning and landing page to product and launch. The three newest: Career Capybara (careercapybara.com): a job-search workspace where four agents tailor the resume to each role and keep it on one record with the application. Free and paid tiers, Stripe live. AdRadar (adradar.hi-daniel.com): reads a competitor's public LinkedIn ads as one campaign system, mapping the messages, offers and funnel stage behind them. In private beta. TechSpy (techspy.hi-daniel.com): reads any company's tech stack from public signals, including React and Next.js apps other scanners miss, and turns it into a go-to-market read. Live with paid tiers. Wrote the governance layer: 35 system prompts, each pinned to one model and tool list, every edit logged. Senior Digital Marketing Manager (Growth & Operations) \| PingPong \| San Mateo, CA Aug 2023 – Oct 2025 Owned full-funnel performance across paid media, the website and account-based targeting, built on ZoomInfo and then 6sense for named enterprise accounts. Put the OpenAI API to work in 2023, ahead of general adoption, on content production, data enrichment, lead scoring and support-ticket drafting. Sent only non-sensitive tickets to GPT-4o mini, with personal data stripped first, and CS still sent every reply. Held the marketing function alone for over six months through three manager changes, with no drop in output. Program-managed three website rebuilds, moving an HTML site onto Webflow with a new sitemap and SEO standard. 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. Cut LinkedIn cost per lead from over $300 to about $160 and Google registration cost from over $90 to about $35, with lead and registration volume held steady. Built the lifecycle program from nothing. Registration to identity verification (KYC) submission went from roughly 10% into the 35 to 40% range. Took over Salesforce administration when the admin left, onboarded HubSpot end to end, and automated routing so Sales saw a new lead in 1 to 2 minutes instead of 12 hours. Launched the affiliate program 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 as employee number one and the first marketer, and was VP of Marketing six years later, with a US team of 7 and 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. Ten years of full-funnel B2B sit underneath. Work Experience Senior Marketing Manager \| ThinkingAI \| San Francisco, CA Jun 2026 – Present Rebuilt a company's entire marketing operation on AI as its only marketer, covering content, the website, reporting and the go-to-market stack. Built two agent-native content engines on a multi-model pipeline that carries each piece to roughly 90% ready in Slack, where I approve or nudge. Nobody hand-writes the weekly update anymore. It compiles itself from nine channels plus the agents' chat history. Turned an 11,700-name event roster into 944 ranked target companies and 157 reachable contacts, labeling with a cheap model and enriching through Apollo. Built a two-track video pipeline from brief to finished film: one booth film shipped, four ads in production. AI Product Founder and Marketing Consultant \| Self-Employed \| San Francisco, CA Jan 2025 – Present Shipped nine AI go-to-market tools to live URLs, each built end to end and alone, from positioning and landing page to product and launch. The three newest: Career Capybara (careercapybara.com): a job-search workspace where four agents tailor the resume to each role and keep it on one record with the application. Free and paid tiers, Stripe live. AdRadar (adradar.hi-daniel.com): reads a competitor's public LinkedIn ads as one campaign system, mapping the messages, offers and funnel stage behind them. In private beta. TechSpy (techspy.hi-daniel.com): reads any company's tech stack from public signals, including React and Next.js apps other scanners miss, and turns it into a go-to-market read. Live with paid tiers. Wrote the governance layer: 35 system prompts, each pinned to one model and tool list, every edit logged. Converted advertising and financial regulation into machine-readable rule sets, where every finding points back to a rule identifier and its source link. Senior Digital Marketing Manager (Growth & Operations) \| PingPong \| San Mateo, CA Aug 2023 – Oct 2025 Put the OpenAI API to work across marketing in 2023, ahead of general adoption, on support-ticket drafting, data enrichment, content production and lead scoring. Sent only non-sensitive support tickets to GPT-4o mini, with personal data stripped first, and CS still sent every reply. Wrote internal tools for ad policy review, campaign QA and reporting inside a regulated payments business. Replaced a monthly report that took one to two hours of hand-cleaning with a schema-constrained LLM pipeline that finishes in under five minutes. Governed over 200 automated workflows in production, each naming its owner and the event that triggers it. Marketing Manager (Ads & Lifecycle) \| PingPong \| San Mateo, CA Oct 2021 – Sep 2023 Took over Salesforce administration when the admin left and onboarded HubSpot end to end, then built the lead handoff from marketing to Sales on both. Automated lead capture, routing and sales handoff, taking 12 hours of manual processing to 1 to 2 minutes. 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 the lifecycle program from scratch, 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 as employee number one and the first marketer, and was VP of Marketing six years later, with a US team of 7 and 5 more in China. Owned a $10M annual media budget at over 80% ROI, and built the reporting the budget was allocated on. 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. I ran the Salesforce, HubSpot and 6sense stack behind a payments line that passed $250M in annual revenue, and these days the reporting builds itself. Work Experience Senior Marketing Manager \| ThinkingAI \| San Francisco, CA Jun 2026 – Present Own marketing ops and the go-to-market stack for a product analytics company as its only marketer. Built a weekly report that compiles itself from nine channels plus agent chat history, so no one writes it by hand. Hand-coded the marketing site on Sanity with nine content types, built and exported as static pages. Moved release authority for the US site onto my own machine and shipped v2.1.9 through v2.5.1 in three weeks without a front-end engineer. Reconciled trade-show capture during the show: four capture paths and 46 badges against 33 booth leads in HubSpot. AI Product Founder and Marketing Consultant \| Self-Employed \| San Francisco, CA Jan 2025 – Present Shipped nine AI go-to-market tools to live URLs, each built end to end and alone, from positioning and landing page to product and launch. The three newest: Career Capybara (careercapybara.com): a job-search workspace where four agents tailor the resume to each role and keep it on one record with the application. Free and paid tiers, Stripe live. AdRadar (adradar.hi-daniel.com): reads a competitor's public LinkedIn ads as one campaign system, mapping the messages, offers and funnel stage behind them. In private beta. TechSpy (techspy.hi-daniel.com): reads any company's tech stack from public signals, including React and Next.js apps other scanners miss, and turns it into a go-to-market read. Live with paid tiers. Wrote the governance layer: 35 system prompts, each pinned to one model and tool list, every edit logged. Senior Digital Marketing Manager (Growth & Operations) \| PingPong \| San Mateo, CA Aug 2023 – Oct 2025 Managed the go-to-market stack across Salesforce, HubSpot, Webflow, 6sense, Zapier, ZoomInfo and Google Tag Manager, connecting tracking, routing, enrichment and reporting. Replaced the manual monthly close with a schema-constrained LLM extraction pipeline, taking one to two hours of hand-cleaning to under five minutes. Traced a two-month attribution outage across multi-region sites to a cross-domain tracking failure, fixed it, and gave the region its source data back. Designed the lead scoring and routing model with Sales, setting the qualification thresholds and handoff service levels the pipeline reports ran on. Gave every automated workflow a named owner and a documented trigger, over 200 in all, and put the OpenAI API into enrichment and ticket drafting in 2023. Marketing Manager (Ads & Lifecycle) \| PingPong \| San Mateo, CA Oct 2021 – Sep 2023 Took over Salesforce administration when the admin left, onboarded HubSpot end to end, and built lead assignment and sales cadences on top. Automated capture and routing so Sales picks up a new lead in 1 to 2 minutes, down from 12 hours. Ran paid acquisition and lifecycle while annual revenue grew from $2M to $76M and past $250M, on instrumentation that held up under finance review. Measured lifecycle on identity verification (KYC) completion and tracked the funnel through to approval at 18 to 20%. 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, and was VP of Marketing six years later, with a US team of 7 and 5 more in China. Built the reporting behind a $10M media budget at over 80% ROI, and reported 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 B2B 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 and QA grunt work, and I make the budget calls. Work Experience Senior Marketing Manager \| ThinkingAI \| San Francisco, CA Jun 2026 – Present Own the Google Ads account and the paid plan for a mobile-first product analytics company, as its only marketer. Cut a competitor's 3,156 paid keywords to a 47-term buy list on a four-model pipeline and added 239 negatives in one day, so the account starts from what the rival already pays for. Built the North America ABM universe myself from technology signals. Six filter rounds took net-new precision from about 2% to 31% before any enrichment spend. Turned an 11,700-name event roster into 944 ranked accounts and 157 reachable contacts, labeling with a cheap model and enriching through Apollo. Took the website in-house on a hand-coded Sanity CMS, so new landing pages no longer wait on engineering. Campaign QA and the weekly report run on agent pipelines now, and I approve what ships. AI Product Founder and Marketing Consultant \| Self-Employed \| San Francisco, CA Jan 2025 – Present Shipped nine AI go-to-market tools to live URLs, each built end to end and alone, from positioning and landing page to product and launch. The three newest: Career Capybara (careercapybara.com): a job-search workspace where four agents tailor the resume to each role and keep it on one record with the application. Free and paid tiers, Stripe live. AdRadar (adradar.hi-daniel.com): reads a competitor's public LinkedIn ads as one campaign system, mapping the messages, offers and funnel stage behind them. In private beta. TechSpy (techspy.hi-daniel.com): reads any company's tech stack from public signals, including React and Next.js apps other scanners miss, and turns it into a go-to-market read. Live with paid tiers. Wrote the governance layer: 35 system prompts, each pinned to one model and tool list, every edit logged. Senior Digital Marketing Manager (Growth & Operations) \| PingPong \| San Mateo, CA Aug 2023 – Oct 2025 Owned paid media across Google, Meta, LinkedIn and programmatic, with Google and LinkedIn carrying the main spend, and moved budget each cycle on measured cost per lead and payback. Traced a two-month attribution outage to a cross-domain tracking failure, fixed it, and set the measurement check later regional launches ran before going live. Put the OpenAI API to work in 2023 on content production, data enrichment and lead scoring, and wrote internal tools for ad policy review and campaign QA in a regulated payments business. Built the enterprise account motion on ZoomInfo and then 6sense, handing named accounts to SDR follow-up. Ran the website rebuild as program manager, moving HTML to Webflow and matching landing pages to the paths visitors actually took. Marketing Manager (Ads & Lifecycle) \| PingPong \| San Mateo, CA Oct 2021 – Sep 2023 Cut LinkedIn cost per lead from over $300 to $160 by rebuilding campaign structure and tightening audiences, with lead volume held. Cut Google cost per registration from over $90 to about $35 on rebuilt landing pages and reworked keywords. 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. Ran inbound demand generation, where three inbound lines carried 85% or more of total volume. Automated capture and routing, so Sales saw a new lead in 1 to 2 minutes instead of 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 the first marketer, and was VP of Marketing six years later, with a US team of 7 and 5 more in China. Opened Meta as the first paid channel, then ran a $10M annual media budget across paid social, DSP and affiliate networks at over 80% ROI. 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 B2B 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 and QA grunt work, and I make the budget calls.

Work Experience

Senior Marketing Manager | ThinkingAI | San Francisco, CA

Jun 2026 – Present

Own the Google Ads account and the paid plan for a mobile-first product analytics company, as its only marketer.
Cut a competitor's 3,156 paid keywords to a 47-term buy list on a four-model pipeline and added 239 negatives in one day, so the account starts from what the rival already pays for.
Built the North America ABM universe myself from technology signals. Six filter rounds took net-new precision from about 2% to 31% before any enrichment spend.
Turned an 11,700-name event roster into 944 ranked accounts and 157 reachable contacts, labeling with a cheap model and enriching through Apollo.
Took the website in-house on a hand-coded Sanity CMS, so new landing pages no longer wait on engineering.
Campaign QA and the weekly report run on agent pipelines now, and I approve what ships.

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

Jan 2025 – Present

Shipped nine AI go-to-market tools to live URLs, each built end to end and alone, from positioning and landing page to product and launch. The three newest:
Career Capybara (careercapybara.com): a job-search workspace where four agents tailor the resume to each role and keep it on one record with the application. Free and paid tiers, Stripe live.
AdRadar (adradar.hi-daniel.com): reads a competitor's public LinkedIn ads as one campaign system, mapping the messages, offers and funnel stage behind them. In private beta.
TechSpy (techspy.hi-daniel.com): reads any company's tech stack from public signals, including React and Next.js apps other scanners miss, and turns it into a go-to-market read. Live with paid tiers.
Wrote the governance layer: 35 system prompts, each pinned to one model and tool list, every edit logged.

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

Aug 2023 – Oct 2025

Owned paid media across Google, Meta, LinkedIn and programmatic, with Google and LinkedIn carrying the main spend, and moved budget each cycle on measured cost per lead and payback.
Traced a two-month attribution outage to a cross-domain tracking failure, fixed it, and set the measurement check later regional launches ran before going live.
Put the OpenAI API to work in 2023 on content production, data enrichment and lead scoring, and wrote internal tools for ad policy review and campaign QA in a regulated payments business.
Built the enterprise account motion on ZoomInfo and then 6sense, handing named accounts to SDR follow-up.
Ran the website rebuild as program manager, moving HTML to Webflow and matching landing pages to the paths visitors actually took.

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

Oct 2021 – Sep 2023

Cut LinkedIn cost per lead from over $300 to $160 by rebuilding campaign structure and tightening audiences, with lead volume held.
Cut Google cost per registration from over $90 to about $35 on rebuilt landing pages and reworked keywords.
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.
Ran inbound demand generation, where three inbound lines carried 85% or more of total volume.
Automated capture and routing, so Sales saw a new lead in 1 to 2 minutes instead of 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 the first marketer, and was VP of Marketing six years later, with a US team of 7 and 5 more in China.
Opened Meta as the first paid channel, then ran a $10M annual media budget across paid social, DSP and affiliate networks at over 80% ROI.

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 \| San Francisco, CA Jun 2026 – Present Own the weekly newsletter end to end, at about a 22% open rate to a list of 1,000-plus built from an on-site popup. Built the newsletter engine on a multi-model pipeline that pulls from 35-plus sources and lands HubSpot-ready HTML for me to approve. When the content manager left a month after I joined, the social calendar moved onto an agent engine, and posting went from two or three a week to five. Reconciled 46 trade-show badges against HubSpot during the show itself, matching 11 to existing records and queuing the rest for follow-up before the booth came down. Rebuilt the site on a hand-coded Sanity CMS with nine content types, so every signup form and lifecycle entry point is ours to change. AI Product Founder and Marketing Consultant \| Self-Employed \| San Francisco, CA Jan 2025 – Present Shipped nine AI go-to-market tools to live URLs, each built end to end and alone, from positioning and landing page to product and launch. The three newest: Career Capybara (careercapybara.com): a job-search workspace where four agents tailor the resume to each role and keep it on one record with the application. Free and paid tiers, Stripe live. AdRadar (adradar.hi-daniel.com): reads a competitor's public LinkedIn ads as one campaign system, mapping the messages, offers and funnel stage behind them. In private beta. TechSpy (techspy.hi-daniel.com): reads any company's tech stack from public signals, including React and Next.js apps other scanners miss, and turns it into a go-to-market read. Live with paid tiers. Wrote the governance layer: 35 system prompts, each pinned to one model and tool list, every edit logged. Senior Digital Marketing Manager (Growth & Operations) \| PingPong \| San Mateo, CA Aug 2023 – Oct 2025 Kept HubSpot and Salesforce in sync, so lifecycle stage, ownership and campaign membership matched. Designed the lead scoring and routing model with Sales, setting the thresholds and handoff service levels lifecycle reporting read from. Sent only non-sensitive support tickets to GPT-4o mini, personal data stripped first, with a person on every reply. Replaced a monthly report that took one to two hours of hand-cleaning with a schema-constrained LLM pipeline that finishes in under five minutes. Kept conversion paths and tracking identical across a multi-region website. Marketing Manager (Ads & Lifecycle) \| PingPong \| San Mateo, CA Oct 2021 – Sep 2023 Built the lifecycle program from nothing: segmentation, onboarding, product education, nurture and activation. Rebuilt onboarding so each email keyed to account state, and registration to identity verification (KYC) submission went from roughly 10% into the 35 to 40% range. Ran three lifecycle campaigns at a regular open rate of about 35%. The best single send hit 61%, and approval settled at 18 to 20%. Took over Salesforce administration when the admin left, onboarded HubSpot end to end and built lead assignment and sales cadences on top. Led lifecycle and paid acquisition while annual revenue on the line went from $2M to $76M and past $250M. 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, and was VP of Marketing six years later, with a US team of 7 and 5 more in China. Set the performance metrics and ran engagement, retention and conversion against them, on a $10M annual media budget at over 80% ROI. 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 | San Francisco, CA

Jun 2026 – Present

Own the weekly newsletter end to end, at about a 22% open rate to a list of 1,000-plus built from an on-site popup.
Built the newsletter engine on a multi-model pipeline that pulls from 35-plus sources and lands HubSpot-ready HTML for me to approve.
When the content manager left a month after I joined, the social calendar moved onto an agent engine, and posting went from two or three a week to five.
Reconciled 46 trade-show badges against HubSpot during the show itself, matching 11 to existing records and queuing the rest for follow-up before the booth came down.
Rebuilt the site on a hand-coded Sanity CMS with nine content types, so every signup form and lifecycle entry point is ours to change.

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

Jan 2025 – Present

Shipped nine AI go-to-market tools to live URLs, each built end to end and alone, from positioning and landing page to product and launch. The three newest:
Career Capybara (careercapybara.com): a job-search workspace where four agents tailor the resume to each role and keep it on one record with the application. Free and paid tiers, Stripe live.
AdRadar (adradar.hi-daniel.com): reads a competitor's public LinkedIn ads as one campaign system, mapping the messages, offers and funnel stage behind them. In private beta.
TechSpy (techspy.hi-daniel.com): reads any company's tech stack from public signals, including React and Next.js apps other scanners miss, and turns it into a go-to-market read. Live with paid tiers.
Wrote the governance layer: 35 system prompts, each pinned to one model and tool list, every edit logged.

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

Aug 2023 – Oct 2025

Kept HubSpot and Salesforce in sync, so lifecycle stage, ownership and campaign membership matched.
Designed the lead scoring and routing model with Sales, setting the thresholds and handoff service levels lifecycle reporting read from.
Sent only non-sensitive support tickets to GPT-4o mini, personal data stripped first, with a person on every reply.
Replaced a monthly report that took one to two hours of hand-cleaning with a schema-constrained LLM pipeline that finishes in under five minutes.
Kept conversion paths and tracking identical across a multi-region website.

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

Oct 2021 – Sep 2023

Built the lifecycle program from nothing: segmentation, onboarding, product education, nurture and activation.
Rebuilt onboarding so each email keyed to account state, and registration to identity verification (KYC) submission went from roughly 10% into the 35 to 40% range.
Ran three lifecycle campaigns at a regular open rate of about 35%. The best single send hit 61%, and approval settled at 18 to 20%.
Took over Salesforce administration when the admin left, onboarded HubSpot end to end and built lead assignment and sales cadences on top.
Led lifecycle and paid acquisition while annual revenue on the line went from $2M to $76M and past $250M.

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, and was VP of Marketing six years later, with a US team of 7 and 5 more in China.
Set the performance metrics and ran engagement, retention and conversion against them, on a $10M annual media budget at over 80% ROI.

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 Marketing Leader \| Former VP of Marketing \| B2B Fintech and SaaS Growth San Francisco, CA \| (650) 504-1208 \| danielsfsu@gmail.com \| linkedin.com/in/ziqinliu \| hi-daniel.com Professional Summary Former VP of Marketing with 10+ years in B2B fintech and SaaS. Led a US team of 7, plus 5 in China, on a $10M budget, then demand generation for a payments line that grew from $2M to over $250M in revenue. Work Experience Senior Marketing Manager \| ThinkingAI \| San Francisco, CA Jun 2026 – Present Run all of marketing for a B2B product analytics SaaS company: paid search, account-based marketing, content, the newsletter, the website and reporting. Kept content output growing after the content manager left by putting AI agents on first drafts, with me editing every piece. Social went from two or three posts a week to five. Narrowed a competitor's 3,156 paid keywords to a 47-term buy list and 239 negative keywords in one day, using four AI models in one workflow. Built the account-based marketing target list from technology signals. Six filtering rounds raised the share of genuinely new prospects from about 2% to 31% before any spend on data enrichment. Brought the US website in-house on Sanity CMS and shipped three weeks of releases without a front-end engineer, so marketing now changes its own campaign pages. Automated the weekly marketing report across nine channels, so no one writes the update by hand. AI Product Founder and Marketing Consultant \| Self-Employed \| San Francisco, CA Jan 2025 – Present Built nine AI go-to-market products end to end, from positioning and landing page to launch, alongside marketing consulting for client brands. The three newest: Career Capybara (careercapybara.com): a job-search workspace where four AI agents tailor the resume to each role. Free and paid plans, with Stripe billing live. AdRadar (adradar.hi-daniel.com): competitor ad intelligence that reads a rival's LinkedIn ads as one campaign system. In private beta. TechSpy (techspy.hi-daniel.com): reads a company's tech stack from public signals and turns it into a go-to-market brief. Paid plans live. Senior Digital Marketing Manager (Growth & Operations) \| PingPong \| San Mateo, CA Aug 2023 – Oct 2025 Led the marketing function through a six-month gap in marketing leadership and three manager changes, managing up to 3 direct reports in a US team of seven or eight. Built the enterprise demand generation program with Sales on ZoomInfo and then 6sense as the company moved upmarket, including the enterprise web pages and sales collateral. Managed three website rebuilds, moving an HTML site controlled from China onto Webflow with a new sitemap and technical SEO standard. Brought AI into marketing and support in 2023, from data enrichment and lead scoring to support-ticket drafts with personal data removed and CS sending every reply. Wrote the global digital playbook and guided the Southeast Asia team's performance marketing. 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. Cut LinkedIn cost per lead from over $300 to about $160 and Google registration cost from over $90 to about $35, with lead and registration volume held steady. Built the lifecycle program from scratch, raising registration to identity verification (KYC) submission from roughly 10% into the 35 to 40% range. Took over Salesforce administration, onboarded HubSpot and automated lead routing, so Sales saw new leads in 1 to 2 minutes instead of 12 hours. Launched the affiliate program 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, 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 AI: OpenAI, Claude, Gemini and DeepSeek in multi-model pipelines; prompt and schema design; agent guardrails with a human approval step; Model Context Protocol. Leadership: team building and hiring, budget ownership and profit and loss reporting, cross-functional programs, partner and agency negotiation, regional playbooks. 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. 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 Leader | Former VP of Marketing | B2B Fintech and SaaS Growth

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

Professional Summary

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

Work Experience

Senior Marketing Manager | ThinkingAI | San Francisco, CA

Jun 2026 – Present

Run all of marketing for a B2B product analytics SaaS company: paid search, account-based marketing, content, the newsletter, the website and reporting.
Kept content output growing after the content manager left by putting AI agents on first drafts, with me editing every piece. Social went from two or three posts a week to five.
Narrowed a competitor's 3,156 paid keywords to a 47-term buy list and 239 negative keywords in one day, using four AI models in one workflow.
Built the account-based marketing target list from technology signals. Six filtering rounds raised the share of genuinely new prospects from about 2% to 31% before any spend on data enrichment.
Brought the US website in-house on Sanity CMS and shipped three weeks of releases without a front-end engineer, so marketing now changes its own campaign pages.
Automated the weekly marketing report across nine channels, so no one writes the update by hand.

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

Jan 2025 – Present

Built nine AI go-to-market products end to end, from positioning and landing page to launch, alongside marketing consulting for client brands. The three newest:
Career Capybara (careercapybara.com): a job-search workspace where four AI agents tailor the resume to each role. Free and paid plans, with Stripe billing live.
AdRadar (adradar.hi-daniel.com): competitor ad intelligence that reads a rival's LinkedIn ads as one campaign system. In private beta.
TechSpy (techspy.hi-daniel.com): reads a company's tech stack from public signals and turns it into a go-to-market brief. Paid plans live.

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

Aug 2023 – Oct 2025

Led the marketing function through a six-month gap in marketing leadership and three manager changes, managing up to 3 direct reports in a US team of seven or eight.
Built the enterprise demand generation program with Sales on ZoomInfo and then 6sense as the company moved upmarket, including the enterprise web pages and sales collateral.
Managed three website rebuilds, moving an HTML site controlled from China onto Webflow with a new sitemap and technical SEO standard.
Brought AI into marketing and support in 2023, from data enrichment and lead scoring to support-ticket drafts with personal data removed and CS sending every reply.
Wrote the global digital playbook and guided the Southeast Asia team's performance marketing.

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.
Cut LinkedIn cost per lead from over $300 to about $160 and Google registration cost from over $90 to about $35, with lead and registration volume held steady.
Built the lifecycle program from scratch, raising registration to identity verification (KYC) submission from roughly 10% into the 35 to 40% range.
Took over Salesforce administration, onboarded HubSpot and automated lead routing, so Sales saw new leads in 1 to 2 minutes instead of 12 hours.
Launched the affiliate program 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, 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

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

Leadership: team building and hiring, budget ownership and profit and loss reporting, cross-functional programs, partner and agency negotiation, regional playbooks.

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.

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 across paid, partner and emerging channels. I built the engine under a payments line that grew from $2M past $250M, and now run demand for an analytics platform with agents doing the repeat work. Work Experience Senior Marketing Manager \| ThinkingAI \| San Francisco, CA Jun 2026 – Present Own paid and emerging channel strategy for a mobile-first product analytics platform with agentic AI on top: ICP, channel roles, test cadence and the budget case behind each move. Rebuilt the marketing operation on agent pipelines. Content, the social calendar, the newsletter, campaign QA and reporting all run multi-LLM, and I approve everything that ships. Start the paid plan from what rivals already buy: a competitor's 3,156 paid keywords cut to a 47-term buy list and 239 negatives on a four-model pipeline. Built the enterprise ABM universe from technology signals, raising net-new precision from about 2% to 31% before any enrichment spend, and handed Sales ranked accounts from an AI industry show before it ended. Rebuilt the site on Sanity around the demo funnel, with lead capture and attribution we own. AI Product Founder and Marketing Consultant \| Self-Employed \| San Francisco, CA Jan 2025 – Present Shipped nine AI go-to-market tools to live URLs, each built end to end and alone, from positioning and landing page to product and launch. The three newest: Career Capybara (careercapybara.com): a job-search workspace where four agents tailor the resume to each role and keep it on one record with the application. Free and paid tiers, Stripe live. AdRadar (adradar.hi-daniel.com): reads a competitor's public LinkedIn ads as one campaign system, mapping the messages, offers and funnel stage behind them. In private beta. TechSpy (techspy.hi-daniel.com): reads any company's tech stack from public signals, including React and Next.js apps other scanners miss, and turns it into a go-to-market read. Live with paid tiers. Wrote the governance layer: 35 system prompts, each pinned to one model and tool list, every edit logged. Senior Digital Marketing Manager (Growth & Operations) \| PingPong \| San Mateo, CA Aug 2023 – Oct 2025 Set channel mix and budget across Google, Meta, LinkedIn and programmatic, reallocating each cycle on measured cost per lead and payback, with platform metrics kept as inputs only. Built the enterprise account strategy on ZoomInfo and then 6sense: segment priorities, intent signals and the handoff of named accounts to SDR follow-up. Put the OpenAI API to work in 2023 on content production, data enrichment and lead scoring. Traced a two-month attribution outage to a cross-domain tracking failure, then set the measurement standard later regional launches ran before going live. Wrote the global digital playbook the Southeast Asia team ran their performance marketing on. Marketing Manager (Ads & Lifecycle) \| PingPong \| San Mateo, CA Oct 2021 – Sep 2023 Rebuilt LinkedIn campaigns and audiences, cutting cost per lead from over $300 to about $160 with volume held. Cut Google cost per registration from over $90 to about $35 on rebuilt landing pages and reworked keywords. Defined the cost and attribution model Finance could audit, on a line that grew from $2M to $76M in annual revenue and then past $250M. Launched the B2B fintech affiliate program from zero: partner selection, lead-quality checks, payout terms with clawback, and 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 as employee number one and the first marketer, and was VP of Marketing six years later, with a US team of 7 and 5 more in China. Ran a $10M annual media budget across paid social, DSP and affiliate networks at over 80% ROI, and managed 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 across paid, partner and emerging channels. I built the engine under a payments line that grew from $2M past $250M, and now run demand for an analytics platform with agents doing the repeat work.

Work Experience

Senior Marketing Manager | ThinkingAI | San Francisco, CA

Jun 2026 – Present

Own paid and emerging channel strategy for a mobile-first product analytics platform with agentic AI on top: ICP, channel roles, test cadence and the budget case behind each move.
Rebuilt the marketing operation on agent pipelines. Content, the social calendar, the newsletter, campaign QA and reporting all run multi-LLM, and I approve everything that ships.
Start the paid plan from what rivals already buy: a competitor's 3,156 paid keywords cut to a 47-term buy list and 239 negatives on a four-model pipeline.
Built the enterprise ABM universe from technology signals, raising net-new precision from about 2% to 31% before any enrichment spend, and handed Sales ranked accounts from an AI industry show before it ended.
Rebuilt the site on Sanity around the demo funnel, with lead capture and attribution we own.

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

Jan 2025 – Present

Shipped nine AI go-to-market tools to live URLs, each built end to end and alone, from positioning and landing page to product and launch. The three newest:
Career Capybara (careercapybara.com): a job-search workspace where four agents tailor the resume to each role and keep it on one record with the application. Free and paid tiers, Stripe live.
AdRadar (adradar.hi-daniel.com): reads a competitor's public LinkedIn ads as one campaign system, mapping the messages, offers and funnel stage behind them. In private beta.
TechSpy (techspy.hi-daniel.com): reads any company's tech stack from public signals, including React and Next.js apps other scanners miss, and turns it into a go-to-market read. Live with paid tiers.
Wrote the governance layer: 35 system prompts, each pinned to one model and tool list, every edit logged.

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

Aug 2023 – Oct 2025

Set channel mix and budget across Google, Meta, LinkedIn and programmatic, reallocating each cycle on measured cost per lead and payback, with platform metrics kept as inputs only.
Built the enterprise account strategy on ZoomInfo and then 6sense: segment priorities, intent signals and the handoff of named accounts to SDR follow-up.
Put the OpenAI API to work in 2023 on content production, data enrichment and lead scoring.
Traced a two-month attribution outage to a cross-domain tracking failure, then set the measurement standard later regional launches ran before going live.
Wrote the global digital playbook the Southeast Asia team ran their performance marketing on.

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

Oct 2021 – Sep 2023

Rebuilt LinkedIn campaigns and audiences, cutting cost per lead from over $300 to about $160 with volume held.
Cut Google cost per registration from over $90 to about $35 on rebuilt landing pages and reworked keywords.
Defined the cost and attribution model Finance could audit, on a line that grew from $2M to $76M in annual revenue and then past $250M.
Launched the B2B fintech affiliate program from zero: partner selection, lead-quality checks, payout terms with clawback, and 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 as employee number one and the first marketer, and was VP of Marketing six years later, with a US team of 7 and 5 more in China.
Ran a $10M annual media budget across paid social, DSP and affiliate networks at over 80% ROI, and managed 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 \| San Francisco, CA Jun 2026 – Present Own demand strategy for a mobile-first product analytics platform: segment priorities, ICP, offers and the quarterly program mix across web, paid, email, content and events. Run the always-on journey end to end, from a Sanity site with lead capture and attribution we own, through the weekly newsletter, to HubSpot follow-up. Built the enterprise target universe from technology signals, raising net-new precision from about 2% to 31% before any enrichment spend, so the sales-assisted motion works a ranked list. Set the trade-show follow-up standard: badges reconciled in HubSpot and routed before the booth came down. Testing and reporting run on agent pipelines, from competitor keyword intelligence to a weekly report compiled from ten sources, and I approve what ships. AI Product Founder and Marketing Consultant \| Self-Employed \| San Francisco, CA Jan 2025 – Present Shipped nine AI go-to-market tools to live URLs, each built end to end and alone, from positioning and landing page to product and launch. The three newest: Career Capybara (careercapybara.com): a job-search workspace where four agents tailor the resume to each role and keep it on one record with the application. Free and paid tiers, Stripe live. AdRadar (adradar.hi-daniel.com): reads a competitor's public LinkedIn ads as one campaign system, mapping the messages, offers and funnel stage behind them. In private beta. TechSpy (techspy.hi-daniel.com): reads any company's tech stack from public signals, including React and Next.js apps other scanners miss, and turns it into a go-to-market read. Live with paid tiers. Wrote the governance layer: 35 system prompts, each pinned to one model and tool list, every edit logged. 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 a named-account program with Sales on ZoomInfo and then 6sense, each with its own messaging, pages and handoff. Designed the lead scoring and routing model with Sales, setting the qualification thresholds and handoff service levels the pipeline reports ran on. Kept HubSpot and Salesforce in sync so lifecycle stage, ownership and campaign membership matched, and read segment performance off that data. Put the OpenAI API to work in 2023 on data enrichment, lead scoring and content, with over 200 automated workflows in production and a named owner on each. Ran three website rebuilds, adding the enterprise pages and holding conversion paths steady across regions. Marketing Manager (Ads & Lifecycle) \| PingPong \| San Mateo, CA Oct 2021 – Sep 2023 Led paid acquisition and lifecycle on the SMB cross-border payments line as annual revenue grew from $2M to $76M, then past $250M. Cut LinkedIn cost per lead from over $300 to about $160 and Google registration cost from over $90 to about $35, with lead and registration volume held steady. Rebuilt onboarding so each send keyed to account state, moving 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 picked up a new lead in 1 to 2 minutes instead of 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 the first marketer, and was VP of Marketing six years later, with a US team of 7 and 5 more in China. Ran a $10M annual media budget at over 80% ROI, setting the performance metrics and running acquisition and conversion against them across client segments. 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 | San Francisco, CA

Jun 2026 – Present

Own demand strategy for a mobile-first product analytics platform: segment priorities, ICP, offers and the quarterly program mix across web, paid, email, content and events.
Run the always-on journey end to end, from a Sanity site with lead capture and attribution we own, through the weekly newsletter, to HubSpot follow-up.
Built the enterprise target universe from technology signals, raising net-new precision from about 2% to 31% before any enrichment spend, so the sales-assisted motion works a ranked list.
Set the trade-show follow-up standard: badges reconciled in HubSpot and routed before the booth came down.
Testing and reporting run on agent pipelines, from competitor keyword intelligence to a weekly report compiled from ten sources, and I approve what ships.

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

Jan 2025 – Present

Shipped nine AI go-to-market tools to live URLs, each built end to end and alone, from positioning and landing page to product and launch. The three newest:
Career Capybara (careercapybara.com): a job-search workspace where four agents tailor the resume to each role and keep it on one record with the application. Free and paid tiers, Stripe live.
AdRadar (adradar.hi-daniel.com): reads a competitor's public LinkedIn ads as one campaign system, mapping the messages, offers and funnel stage behind them. In private beta.
TechSpy (techspy.hi-daniel.com): reads any company's tech stack from public signals, including React and Next.js apps other scanners miss, and turns it into a go-to-market read. Live with paid tiers.
Wrote the governance layer: 35 system prompts, each pinned to one model and tool list, every edit logged.

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 a named-account program with Sales on ZoomInfo and then 6sense, each with its own messaging, pages and handoff.
Designed the lead scoring and routing model with Sales, setting the qualification thresholds and handoff service levels the pipeline reports ran on.
Kept HubSpot and Salesforce in sync so lifecycle stage, ownership and campaign membership matched, and read segment performance off that data.
Put the OpenAI API to work in 2023 on data enrichment, lead scoring and content, with over 200 automated workflows in production and a named owner on each.
Ran three website rebuilds, adding the enterprise pages and holding conversion paths steady across regions.

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

Oct 2021 – Sep 2023

Led paid acquisition and lifecycle on the SMB cross-border payments line as annual revenue grew from $2M to $76M, then past $250M.
Cut LinkedIn cost per lead from over $300 to about $160 and Google registration cost from over $90 to about $35, with lead and registration volume held steady.
Rebuilt onboarding so each send keyed to account state, moving 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 picked up a new lead in 1 to 2 minutes instead of 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 the first marketer, and was VP of Marketing six years later, with a US team of 7 and 5 more in China.
Ran a $10M annual media budget at over 80% ROI, setting the performance metrics and running acquisition and conversion against them across client segments.

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 B2B paid across search, social, programmatic and affiliate: a $10M media budget at ToLocal, then the paid engine under a payments line that grew from $2M past $250M. Now I build the AI that runs paid. Work Experience Senior Marketing Manager \| ThinkingAI \| San Francisco, CA Jun 2026 – Present Own the paid account and channel strategy for a mobile-first product analytics platform: audience design, budget pacing, test cadence and the budget case behind each move. Cut a competitor's full paid keyword set of 3,156 terms to a 47-term buy list and 239 negatives on a four-model pipeline, with every decision written back into the account plan. Built the enterprise target universe from technology signals, raising net-new precision from about 2% to 31% before any enrichment spend, so paid and Sales work different lists. Creative, QA and the ten-source weekly report run on agent pipelines, and I approve what ships. Rebuilt the site on Sanity with lead capture and attribution we own, feeding the channel numbers. AI Product Founder and Marketing Consultant \| Self-Employed \| San Francisco, CA Jan 2025 – Present Shipped nine AI go-to-market tools to live URLs, each built end to end and alone, from positioning and landing page to product and launch. The three newest: Career Capybara (careercapybara.com): a job-search workspace where four agents tailor the resume to each role and keep it on one record with the application. Free and paid tiers, Stripe live. AdRadar (adradar.hi-daniel.com): reads a competitor's public LinkedIn ads as one campaign system, mapping the messages, offers and funnel stage behind them. In private beta. TechSpy (techspy.hi-daniel.com): reads any company's tech stack from public signals, including React and Next.js apps other scanners miss, and turns it into a go-to-market read. Live with paid tiers. Wrote the governance layer: 35 system prompts, each pinned to one model and tool list, every edit logged. Senior Digital Marketing Manager (Growth & Operations) \| PingPong \| San Mateo, CA Aug 2023 – Oct 2025 Owned paid across Google, Meta, LinkedIn and programmatic for SMB and enterprise, with enterprise targeting on ZoomInfo and then 6sense intent. Set channel mix and budget each cycle on cost per lead and payback we measured ourselves. Traced a two-month attribution outage to a cross-domain tracking failure, and set the measurement standard later regional launches ran before going live. Guided the Southeast Asia team's paid programs and wrote the global digital playbook they ran. Put the OpenAI API to work in 2023 on content production, data enrichment and lead scoring, with over 200 automated workflows in production and a named owner on each. 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. Cut LinkedIn cost per lead from over $300 to about $160 and Google registration cost from over $90 to about $35, with lead and registration volume held steady. Launched the B2B fintech affiliate program from zero: partner selection, lead-quality checks, payout terms with clawback, and thirty-odd active partners over about two years. Took over Salesforce administration, onboarded HubSpot end to end, and built lead assignment and routing so Sales picked up a new lead in 1 to 2 minutes instead of 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 the first marketer, and was VP of Marketing six years later, with a US team of 7 and 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 B2B paid across search, social, programmatic and affiliate: a $10M media budget at ToLocal, then the paid engine under a payments line that grew from $2M past $250M. Now I build the AI that runs paid.

Work Experience

Senior Marketing Manager | ThinkingAI | San Francisco, CA

Jun 2026 – Present

Own the paid account and channel strategy for a mobile-first product analytics platform: audience design, budget pacing, test cadence and the budget case behind each move.
Cut a competitor's full paid keyword set of 3,156 terms to a 47-term buy list and 239 negatives on a four-model pipeline, with every decision written back into the account plan.
Built the enterprise target universe from technology signals, raising net-new precision from about 2% to 31% before any enrichment spend, so paid and Sales work different lists.
Creative, QA and the ten-source weekly report run on agent pipelines, and I approve what ships.
Rebuilt the site on Sanity with lead capture and attribution we own, feeding the channel numbers.

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

Jan 2025 – Present

Shipped nine AI go-to-market tools to live URLs, each built end to end and alone, from positioning and landing page to product and launch. The three newest:
Career Capybara (careercapybara.com): a job-search workspace where four agents tailor the resume to each role and keep it on one record with the application. Free and paid tiers, Stripe live.
AdRadar (adradar.hi-daniel.com): reads a competitor's public LinkedIn ads as one campaign system, mapping the messages, offers and funnel stage behind them. In private beta.
TechSpy (techspy.hi-daniel.com): reads any company's tech stack from public signals, including React and Next.js apps other scanners miss, and turns it into a go-to-market read. Live with paid tiers.
Wrote the governance layer: 35 system prompts, each pinned to one model and tool list, every edit logged.

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

Aug 2023 – Oct 2025

Owned paid across Google, Meta, LinkedIn and programmatic for SMB and enterprise, with enterprise targeting on ZoomInfo and then 6sense intent.
Set channel mix and budget each cycle on cost per lead and payback we measured ourselves.
Traced a two-month attribution outage to a cross-domain tracking failure, and set the measurement standard later regional launches ran before going live.
Guided the Southeast Asia team's paid programs and wrote the global digital playbook they ran.
Put the OpenAI API to work in 2023 on content production, data enrichment and lead scoring, with over 200 automated workflows in production and a named owner on each.

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.
Cut LinkedIn cost per lead from over $300 to about $160 and Google registration cost from over $90 to about $35, with lead and registration volume held steady.
Launched the B2B fintech affiliate program from zero: partner selection, lead-quality checks, payout terms with clawback, and thirty-odd active partners over about two years.
Took over Salesforce administration, onboarded HubSpot end to end, and built lead assignment and routing so Sales picked up a new lead in 1 to 2 minutes instead of 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 the first marketer, and was VP of Marketing six years later, with a US team of 7 and 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 | San Francisco, 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 | San Francisco, 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 | San Francisco, 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 | San Francisco, 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 | San Francisco, 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 | San Francisco, 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 | San Francisco, 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 | San Francisco, 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 | San Francisco, 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