About the roleAs a Product Manager working on the Artifacts team, you will lead a team of engineers and designers in creating new products based on the results of a simulation. Today, the Artifacts team's goal is to produce high quality deliverables and assets used from CEOs to analysts to help drive their decision making. We're looking to accelerate the roadmap for Artifacts across different applications and use cases like executive summaries and insight-generating documents.
This is a senior individual contributor (IC) role that works with researchers, product designers, and engineering while engaging customers and external partners day-to-day. You should be comfortable resolving issues with model behavior with research, debugging reasoning failures, identifying gaps in platform primitives, and presenting product strategy to executives.
Responsibilities- Define the Artifacts roadmap, from executive summaries to interactive results experiences
- Set evaluation and launch criteria for AI-generated deliverables
- Turn one-off customer deliverables into reusable templates and primitives
- Debug model behavior and reasoning failures alongside Research
- Instrument adoption, trust, and quality so decisions run on evidence
- Present Artifacts strategy to executives, customers, and partners
You may be a fit if- You've worked as a product manager of analytics/document platforms in the past
- You have opinions on how AI and data interact with one another
- You've owned a roadmap that includes improving model performance in your product
- You've worked on products that serve users with a wide range of technical competency
Strong Candidates May Also- Have built LLM-powered content generation pipelines (automated report prose, insight extraction, agentic document creation)
- Have produced or automated consulting-grade deliverables at a strategy firm, analytics vendor, or customer-facing BI product
- Have been a founder or early PM at a fast-growing company
- Have committed code, or worked deep enough in the stack to credibly debate architecture and evaluation design
- Have worked with data scientists or researchers as part of the product development process
