Job description

ABOUT AARU Aaru operates at the frontier of predictive intelligence, using AI to simulate and predict human behavior at scale. By generating and deploying instances of artificial intelligence that mirror humans, called agents, Aaru simulates entire populations with unprecedented accuracy. Our partners use Aaru to refine strategic positioning, identify and understand high-value audiences, validate concepts and messaging before launch, optimize pricing decisions, and build a continuously richer understanding of their customers through simulation. We provide organizations with invaluable foresight, empowering them to anticipate outcomes and proactively make the right decisions at the right time, every time. We're a small, dedicated, mission-driven team and we intend to stay that way. We believe the best work happens when exceptionally talented people are given ownership, trust and the space to operate without bureaucratic friction. We work with urgency and intellectual honesty and expect new team members to match our velocity. We seek individuals who thrive at the frontier, who push beyond conventional limits, who bring curiosity and conviction in equal measure, and who want their work to have demonstrable impact in the world. If you're energized by the idea of a small team doing things that feel impossible, let’s build together. ABOUT THE ROLE As 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

Requirements

Must-haves

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'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
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

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aillm

Platform: ashby
Effort: quick