{"@context":"https://schema.org","@type":"JobPosting","directApply":"https://schema.org/False","title":"Product Manager, AI","description":"

Metabase is the easiest way for people to get insights from their data, from tiny startups who get up and running quickly, to major corporations with tens of thousands of users. That's why people love us.

We make a product that is actually pleasurable to use, in a very technical space, serving a range of user personas across our two main lines of business: internal BI and embedded analytics.

Our business is thriving and expanding our product in both depth and breadth. Specifically, we’re growing our AI-backed products and looking for a Product Manager to join our highly technical, UX-appreciative and craftsmanship-aligned team.

PMing at Metabase is a bit different than elsewhere, in how much we emphasize deep understanding of problems, of the technical realities of the product and the importance of delivering reliably simple and user-aligned software. It rewards intellectual curiosity, customer empathy and systematic thinking and doesn’t focus on strict metric optimization or a ship-ship-ship attitude. We ship, but we do it well.

Responsibilities

Like other PMs on the team, this role will need you to:

Develop deep knowledge and empathy for users needs in the areas they tackle. This involves reviewing existing issues, tickets, docs, engaging in lots of interviews and evaluating quantitative data.
Understand the underlying mechanics of the product at a technical level. They don’t need to read/write code, but need to have the curiosity and ability to over time understand how things work and develop instincts for what’s easy/hard.
Develop strategies for solving clusters of users needs in thoughtful ways, ultimately delivering product docs which frame needs in actionable ways for designers and engineers.
Steward projects forward, helping keep focus, momentum, and continuously re-evaluating scope, with flexibility and appreciation for technical constraints and UX considerations.
Follow-up on the outcomes of projects they ship, quantitatively and qualitatively.
Collaborate with the rest of the team, consistently seeking and providing feedback, as well as pitching ideas for how to advance the product.

And specifically to:

Identify opportunities for leveraging ML/LLMs in the product through a mix of strong intuition for use case/solution matches and focused, benchmark-centric experimentation.
Nurture the development of AI projects with particularly strong quantified success criteria, like defining benchmark expectations, sourcing benchmark sample data, gauging likely plateaus for improvement, etc.
Elevate the broader PM team’s knowledge of how to ship and iterate upon LLM features.

Responsibilities don’t include:

Managing people, herding cats, writing code, making mocks, using JIRA.

About You

Excited to belly flop into the non-deterministic and reliably unpredictable world of LLM-backed projects
Able and interested in staying up-to-date with developments in the world of LLMs and adjacent technologies, with a bias towards tinkering on your own.
A thorough thinker, able to be both diligent with details but systematic to see the big picture.
Appreciative of clean but powerful user experiences (and the hard work their require).
Able to keep a vision in mind, but break the path to it into small, doable, valuable steps.
Motivated to work asynchronously in a global team, and with the written communication chops to do it effectively.
More interested in the Product than the Management part of Product Management.

Skills and experience

3+ years shipping ML products as part of a Product+Eng team, with good understanding of the underlying mechanisms (you can’t just lob requirements over the fence and hope for good things, you need to understand the details).
5+ years as a PM in a technical environment (this is not a role for junior PMs), shipping user-facing software (not just infra). Preference for the analytics/databases/developer tools space, but you can have built any sort of product as long as it had some real technical complexity.
Demonstrable experience leveraging LLMs as building blocks in complex workflows (either professionally or in personal projects), with strong understanding of underlying mechanics (aka no simple prompt wrappers).
Driven and experienced in helping others continuously deliver work through influence, not authority.
Skills you don't need: up-to-date coding skills, customer management, cloud infra knowledge, horse whispering.

When applying, make sure your cover letter and or resume clearly spell out your ML/LLM experience.

We're a global team (50% outside the US), fully distributed (from Thailand to California), who get things done asynchronously, with plenty of uninterrupted time, supporting each other to do the best work of our careers. We offer flexibility (define your own schedule and work from wherever you want), autonomy, and an environment that fosters growth, learning, and development. We're relentlessly user-focused and believe in building long-term value, not short-term hacks. And we raised a $30M Series B to take our approach to the next level for years to come.

For U.S. applicants: Metabase participates in the federal E-Verify program, which confirms employment authorization of newly hired U.S. based employees. E-Verify is not used as a tool to pre-screen candidates and is only initiated upon hire.

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