Who runs gtmpod
Built by a working GTM operator, not a content farm
gtmpod is independent AI-in-GTM intelligence for revenue teams. I built it because most coverage is vendor PR or generic philosophy — nobody publishes the operator recipe: prompt + tool stack + data dependency + human review + measured outcome.
Jiabin Lu
GTM lead · Amplitude
I'm a GTM lead at Amplitude with five prior years in product analytics at the same company — roughly a decade inside a public SaaS revenue motion. I talk with our GTM people every day, from SDR, AE, CSM, and Support to Manager, VP, and C-level. I ship AI products on the side as an indie builder.
That combination — GTM operator plus engineer — is the edge behind gtmpod. I translate AI capability into workflows operators can actually run: inputs, review gates, CRM writeback, failure modes, and the metric that proves whether the step helped.
Featured on LinkedIn
I write in public about AI-in-GTM implementation — workflow fit, not vendor demos.
The future of GTM system
Independent AI-in-GTM intelligence — tools, workflows, and implementation truth across the full revenue pod.
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Why do people still like Dashboard?
The operator recipe vendors skip: data in, AI step, human review, CRM writeback, failure modes, and proof metrics.
Read post →
Background at a glance
Current role
GTM lead at Amplitude
Works inside a public SaaS GTM motion — not a consultant watching from the sidelines.
Prior experience
5 years in product analytics
Same company. Understands event data, adoption metrics, and how product truth feeds revenue.
Cross-pod exposure
SDR → AE → CSM → Support → Leadership
Daily conversations from IC roles through Manager, VP, and C-level — handoffs, data seams, and where AI breaks in live workflows.
Builder proof
Operator-engineer hybrid
Ships full-stack AI products (gtmpod, side projects) — implementation truth, not slide decks.
Why trust gtmpod
Lives the problem daily
Most AI×GTM content comes from vendors or influencers who do not run a pod. I talk with our GTM people every day — from SDR, AE, CSM, and Support to Manager, VP, and C-level.
Independent by design
No vendor pays for placement or editorial conclusions. Affiliate links exist and are disclosed. Sponsors get visibility, not coverage.
Evidence over hype
Every strong claim should answer: what data enters, where AI acts, who reviews, where it writes back, what breaks, and what metric proves it worked.
Hand-written judgment
Tool takes, briefs, and founder insights are operator-written. AI assists research and structure — the thesis and recommendations are mine.
Read the full evaluation framework on the methodology page.
What gtmpod publishes
What this isn't
- Vendor PR or pay-for-placement "best of" lists
- AI-generated slop with no operator accountability
- A consulting pitch disguised as content
- Generic LinkedIn philosophy without implementation detail
How this is funded
Affiliate links on tool pages (we recommend tools we have evaluated or use). Founding sponsor placements on the homepage and newsletter — clearly marked. No paid tier. No private courses. Editorial independence is non-negotiable. See affiliate disclosure.
Work with me
I share what I learn in public on LinkedIn and through the gtmpod newsletter. If you are a GTM leader evaluating AI workflows, a vendor who wants founding sponsor placement, or an operator with a story worth documenting — reach out.