Full-Stack B2B Marketer.
I Also Ship the Code.
Paid and inbound, lifecycle and CRM, the operations layer under them, and a team of 7 on a $10M budget. Where the tool did not exist I built it: nine AI systems shipped solo, every one on a live public URL you can open right now. One cross-border payments line went from $2M to $250M+ on this. Open to AI-Native Growth, AI GTM and Marketing Ops roles.
- Full funnel, paid to retention
- GTM systems, CRM, attribution
- Lifecycle and email systems
- SEO, GEO and content engines
- AI agents that run the above
U.S. Bank
Gusto
TikTok
Clover
Jeeves
PingPong
BlackwallU.S. BankGustoTikTokCloverJeevesPingPongBlackwall
Agent teams that split the work, check each other, and escalate to a person.
AI wired into the growth operation you already run: CRM, routing, reporting.
Performance media, inbound and campaigns, measured so finance agrees.
Custom AI to spec: an internal tool the team uses, or a product customers buy.
Scaled one cross-border payments line at PingPong.
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.
- $2M → $76M in year one, past $250M+ by year two. Annual payment volume through the line: inbound in year one, then an account-based motion built with sales in year two.
- LinkedIn CPL $300+ → ~$160. Google registrations $90+ → ~$35, with volume held through both.
I run the programs and
build the AI that runs them
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.
Six workstreams,
one AI-native growth system
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 →Working prototypes and one production tool
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.
Ad copy that clears policy before you export it
React
TypeScript
Vite
Tailwind
Gemini 2.5 Flash
DeepSeek
VercelLearns 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.
Catch the non-compliant phrase before legal does
ReactTypeScriptViteTailwindGemini FlashVercelPaste 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.
Find the policy violation before the platform does
ReactTypeScriptViteTailwindVercel FunctionsHeadline, 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.
Pull a creator's whole catalog, get the transcripts out
ReactTypeScriptVite
Express
Neon PostgresGemini 2.5 Flash
FFmpeg
Playwright
Resend
StripeVercelPaste 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.
Applications, resumes and interviews in one workspace
React 19TypeScriptViteExpress 5
PrismaGemini 2.5DeepSeek
GPT-4o · WhisperStripeVercelOne 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.
Run client Meta accounts through the API, with a person on every change
React 19TypeScript
Next.js 16
Meta Graph APIOpenAIGeminiVercelAn agent drafts the campaign, the ad sets, the creative and the copy, then reads results back. Anything that touches a live account passes a guardrail, a named approver and a typed confirmation.
See the real tech stack behind any competitor's URL
Next.js 16React 19TypeScriptDeepSeek v4Playwright
BrowserlessStripeVercelFingerprints 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.
Read the strategy your competitors put into market
PythonDeepSeek v4PlaywrightMeta Graph API
Ads TransparencyStripeVercelCollects 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.
In their words
Which role are you hiring for?
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.
What I'm building now, at ThinkingAI
Since June 2026 I've been rebuilding marketing functions at ThinkingAI as agent-native systems. Seven are written up as full case studies.
One loop, run on
every system I own
Diagnose
Find the real constraint before spending on top of it.
PingPong, 2021: froze scaling for a quarter to rebuild tracking firstInstrument
One cleaned dataset everyone reads. Definitions before dashboards.
8 standing reports, one dataset, every team on the same numberAutomate
The 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 →Scale
Add budget only on instrumented ground.
Cross-border payments line: $2M → $76M → $250M+Let's talk about the role
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.