How many times have you seen a demo of an AI feature and thought: “Cool prototype… but is this valuable for users? Will it scale if it is useful?”
Us too. We're building something different — and we’re doing it inside Amplitude.
Our new AI team is building a platform for intelligent agents that customers rely on, not just try once, post about on twitter, and then never think of again. This team is backed by Amplitude’s scale and insights, but moves like a startup. We’re already rolling on a few critical internal and external agent experiences — and we’re looking for the right product leader to drive this effort.
It’s ambitious, but we think this team has the potential to build something that becomes bigger than Amplitude’s core business in a short period of time. And we have the support of the company to do that.
What’s the role?
As the Principal Product Manager for Applied AI, you’ll lead our AI product vision end-to-end. You’ll own the roadmap for internal infra, external-facing products, and customer delivery. You’ll partner closely with engineering, design, GTM, and leadership to drive new AI initiatives from 0 → 1 → 100.
More specifically, you will:
- Own the product vision and roadmap for Amplitude’s Applied AI team, including our flagship Agents product
- Build and ship agent-powered workflows that matter — not gimmicks
- Work hand-in-hand with engineers to make tough tradeoffs around LLM infra, evals, latency, cost, and product quality
- Talk to customers, often — and bring their pain into the roadmap (without building faster horses)
- Collaborate with leadership across product, GTM, and platform to make AI bets that have company impact
- Help define how AI products are built across Amplitude: best practices, reusability, ethics, and developer experience
You might be a fit if:
- You’ve shipped real products before (not just experiments or internal tools)
- You have a founder mindset: you think like an owner, bias toward action, and rally cross-functional teams
- You have strong product taste and know how to turn ambiguity into clarity
- You’re technical enough to understand system design, prompt engineering, and architectural tradeoffs in AI — you don’t need to write code, but you can earn the respect of engineers by being in the details
- You’re steeped in the various foundation models and their trade-offs; when a new one drops, you’re testing it out and building a POV on where it could plug into our work
- You’re hungry to learn, iterate, and build from scratch
- You’re comfortable in environments where priorities shift and paths aren’t paved
- You’ve led products end-to-end and can drive the full lifecycle from customer discovery through scale
Bonus if:
- You’ve worked with LLMs, agents, or AI infra in production
- You’ve been a founder or early-stage PM at a startup
- You’ve shipped developer-facing products or tools or worked on platform teams
Why join?
- Scale — We’re a $300M+ ARR business and are working closely with our customers to co-develop this next product.
- Data — the existing analytics infra we’ve built puts us in a unique position to build useful AI products
- Org commitment — We are all in on this and devoting lots of company $ to it. This isn’t a sideshow research project.
- Tight team — We’re keeping the team intentionally small and insulating it from org bloat — no roadmap review, etc.
- Work closely with the Amplitude co-founders
We’re betting the next chapter of Amplitude is AI-native — and this team is leading that charge.
