Product Manager, AI

Summary

Join Metabase's growing team as a Product Manager specializing in AI-backed products. This role focuses on deeply understanding user needs and the technical aspects of the product, developing strategies for solving those needs, and stewarding projects to successful completion. You will leverage your expertise in ML/LLMs to identify opportunities and nurture the development of AI projects. The ideal candidate possesses 3+ years of experience shipping ML products and 5+ years as a PM in a technical environment, with a strong understanding of LLM mechanics. Metabase offers a flexible, fully distributed work environment with opportunities for growth and development.

Requirements

• 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

Responsibilities

• 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
• 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

Preferred Qualifications

• 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

Benefits

• Flexibility (define your own schedule and work from wherever you want)
• Autonomy
• An environment that fosters growth, learning, and development