I run growth marketing for B2B SaaS and fintech, and I build the AI infrastructure it runs on. Paid, lifecycle, CRM, tracking and attribution wired into one engine, with agents carrying the repeatable execution. Open to AI-Native Growth, AI GTM and Marketing Ops & Systems roles.
U.S. Bank
Gusto
TikTok
Clover
Jeeves
PingPong
BlackwallU.S. BankGustoTikTokCloverJeevesPingPongBlackwall
Multi-agent systems that run marketing and keep each other honest.
One operator where most teams need three, so the numbers reconcile.
PingPong's inbound and outbound rebuilt end to end; LinkedIn leads $300+ → ~$160.
Nine AI systems in production, designed and built solo.
I owned paid acquisition and lifecycle for it as Marketing Manager, Ads & Lifecycle, from October 2021 to September 2023. A regulated cross-border product, so speed could never cost us the audit trail.
I'm Daniel Liu, a marketer who wandered too close to operations and campaigns, discovered AI automation along the way, and decided to stay.
A decade later that detour is the whole job: I sit where GTM judgment meets hands-on technical execution, connecting campaigns, CRM, tracking, lifecycle, reporting and AI automation into one revenue engine a CFO can audit.
I owned all six end to end, in the stack and the regions they actually ran in, and rebuilt each one around the part a model can now carry.
Acquisition and lifecycle across NA, EU and SEA. One cross-border payments line from $2M to $250M+. Winning tests become infrastructure, down to AI-assisted enrichment.
Learn more → 02 User AcquisitionLinkedIn CPL $300+ → ~$160, Google registrations $90+ → ~$35. Earlier, a $10M annual media buy at 80%+ ROI. AI reads the creative and segments, so the loop closes weekly.
Learn more → 03 Email & LifecycleBehavior-triggered journeys from signup to retention, fired on product and account data instead of a hand-built list, with AI tightening the segments and scores each cycle.
Learn more → 04 SEO / GEO & ContentAn international site rebuilt for speed and search, plus a data + AI outlining workflow that moves drafts from SEO score 0 to the mid-70s–80s. GEO is the other half: I track citations.
Learn more → 05 Marketing Ops & AnalyticsLead handoff from ~12 hours to 1–2 minutes across 200+ governed workflows. A messy monthly report from 1–2 hours to under five, with an LLM pass flagging what needs a human.
Learn more → 06 Partner & AffiliateB2C affiliate experience carried into a B2B fintech program: commission tiers, partner enablement, UTM attribution and fraud screening, with compliance in the loop from the start.
Learn more →Every one of these started as a problem slowing down a growth team I was running. I built the fix myself, in code, with AI carrying the part that used to eat the week. All of them are live on a public URL.
React
TypeScript
Vite
Tailwind
Gemini 2.5 FlashLearns your brand voice from your own site, writes channel-native copy for Google, Meta, LinkedIn and Bing, and audits every line against platform policy and your own rules as it writes.
ReactTypeScriptViteTailwindGemini FlashPaste a fintech marketing draft, pick the jurisdiction, and get a severity-ranked audit: every risky phrase quoted and matched to the FINRA 2210 clause it trips.
ReactTypeScriptViteTailwindHeadline, body, URL and the creative itself, audited against ~84 embedded platform policy clauses plus your saved company rules. You get a safety score with every risk explained, before upload.
ReactTypeScriptVite
Neon PostgresGemini 2.5 Flash
ResendPaste a Douyin or TikTok profile and it collects the catalog, lifts the transcript from every video, translates and rewrites on your own prompt, then exports to Excel. Runs on the user's own session rather than a shared account pool, which is what keeps accounts safe.
React 19TypeScriptVite
PrismaGemini 2.5
GPT-4o · WhisperOne pasted job description becomes a tracked application, a resume run through a six-step tailoring engine with its ATS read-out, and interview prep built from the same context.
React 19TypeScriptViteNeon PostgresGemini 2.5 FlashAn ETL pipeline scrapes the catalog, strips and transcribes the audio, and embeds everything into a vector store, a Digital Brain you query instead of three hours of scrolling.
React 19TypeScriptFingerprints the HTML and JS bundles, reads DNS and email posture, maps subdomains, then renders the site in a real browser for a deep scan. Every finding is evidence-backed.
Meta Graph API
Ads TransparencyCollects a rival's public ad library, enriches every creative and landing page, labels the set with AI behind a human review queue, and returns a campaign anatomy: market, message, spend posture.
Enterprise ABM, international launches, lifecycle growth, and the sales partnership around them. I ran all four as one funnel, with numbers that reconcile to finance.
Scope: the B2B cross-border payments line at PingPong (2021–2025), scaled $2M to $250M+, with AI now carrying the reporting and the repeatable execution. Earlier, VP of Marketing at ToLocal, a team of 7 on a $10M annual media budget at 80%+ ROI.
Agent-native go-to-market: research, enrichment, campaign build and reporting run as multi-model agent pipelines, with a person setting direction instead of moving rows. Often posted as GTM Engineer, AI GTM Lead or MarTech Lead.
Scope: nine AI GTM tools designed and shipped solo, every one on a live public URL. Currently Senior Marketing Manager at ThinkingAI, leading GTM systems and marketing ops.
Workflow architecture, routing logic, attribution hygiene and website governance. I build the systems every other team reads its numbers from, so sales, marketing and finance open the same figure on the same morning.
Scope: Senior Digital Marketing Manager, Growth & Ops at PingPong (2023–2025), sole owner of a governed 8-tool GTM stack and all of Marketing for 6+ months.
Owned paid acquisition and lifecycle end to end at PingPong: campaign restructuring, audience refinement, and landing-page optimization, instrumented by channel.
PingPong, B2B cross-border payments. Marketing Manager, Ads & Lifecycle (2021–2023), then Senior Digital Marketing Manager, Growth & Ops (2023–2025).
We worked closely together rolling out a new part of the business, and I was constantly amazed not only by his technical project management skills, but also by his ability to keep the team motivated through the inevitable challenges.
Rebuilt campaign structure, audiences, keywords, and landing paths. LinkedIn CPL fell from $300+ to ~$160 and Google registration cost from $90+ to ~$35, with volume maintained.
Same engine, second discipline: efficiency instrumented per channel, so finance could audit every dollar of CAC.
Working with Daniel has been a highlight in my career in fin-tech. He is an extremely diligent worker whose attention to detail is matched by his understanding of how the details affect the bigger picture.
Built the automation layer across Salesforce, HubSpot, Zapier and GA4: lead handoff compressed to 1–2 minutes across 200+ workflows; the monthly report went from 1–2 hours to under 5 minutes, feeding 8 reports from one cleaned dataset.
GTM infrastructure across Salesforce, HubSpot, Webflow, 6sense, Zapier, ZoomInfo, Salesloft, GA4, connected, governed, measured.
… He took over all of Marketing for PingPong for over 6 months and has ensured there was no interruption to the business with minimal support. … His work is thorough and impactful.
Led website, CMS, CRO, SEO/GEO and landing-page operations on Webflow, improving campaign scalability, conversion-path consistency, tracking accuracy, and CMS governance across regions.
The web layer of the same system: every page instrumented, every region attributable.
As our Digital Marketing Manager, Daniel was instrumental in helping us build and optimize our global website, improving lead flow, and implementing effective tracking systems across multiple regions.
The agent teams behind the rest of this work, plus the review loop that improves them. Multi-model pipelines with a person on the approval step, including the guardrail that caught a real failure before it reached a customer.
The pattern underneath nine shipped tools: define what a model can apply reliably, route each step by what it is worth, and keep a person accountable for the output.
Daniel is a fantastic member of the team with his ability to blend very deep technical knowledge with great interpersonal skills. He is able to quickly understand business requirements and then present a solution in a motivational way in terms appropriate for any level of the audience.
An inherited account list nobody worked, turned into a ranked and reachable book. Enrichment, scoring and contact discovery run as a pipeline, with the reason for each rank visible to the rep who has to act on it.
Sales does not adopt a score it cannot argue with. The rank is shown beside the evidence that produced it, which is what got the list worked instead of ignored.
Daniel has a great track record in the fast-paced environment and has proven himself as an individual who focuses on multi-tasking while balancing the needs and goals of the company. He does what he says he will do, because his word is guaranteed.
ThinkingAI's marketing site rebuilt solo on Sanity, with the content model shaped around the funnel rather than around pages. Publishing moved in-house, and a non-technical team can now run it without me.
ThinkingAI, 2026. The platform behind the demo funnel, designed so the people who write the content are the people who ship it.
He is a professional who brings his capability to learn things quickly to get work done successfully. His professional ethic and ease to adapt to any team make him a good element to any organization.
The weekly status compiled from nine connected channels instead of assembled by hand. Agents pull, reconcile and draft; a person clears the exceptions and signs it off, so the number in the deck traces back to the system that produced it.
Reporting treated as a product of the architecture rather than a monthly chore, which is the only version that survives someone challenging a figure.
Always open to new workflows or how to improve existing ones, he brings a collaborative and enthusiastic approach to operational initiatives. For every project, he's also a strong partner to help shepherd and support the development of net new deliverables.
Since October 2025 I've been rebuilding marketing functions at ThinkingAI as agent-native systems. Seven are written up as full case studies.
Find the real constraint before spending on top of it.
PingPong, 2021: froze scaling for a quarter to rebuild tracking firstOne cleaned dataset everyone reads. Definitions before dashboards.
8 standing reports, one dataset, every team on the same numberThe judgment stays human. The busywork doesn't.
200+ workflows: lead handoff ~12h → 1–2 minutes ThinkingAI, 2026: the same loop now runs as reusable multi-agent systems →Add budget only on instrumented ground.
Cross-border payments line: $2M → $76M → $250M+Hiring for AI-native growth, AI GTM, or marketing ops and systems? Tell me about the team, the role, and the operating problems you actually need solved. I'll tell you honestly whether I'm the right operator for it.
Open to full-time roles in AI-native growth, AI GTM, and marketing ops and systems. Currently Senior Marketing Manager at ThinkingAI, so no rush and no games. Tell me your start window in the form and I'll tell you mine in the reply.