AI Product Manager
We're looking for a senior AI product manager who is deeply AI-native and obsessed with craft. The Product Manager owns the execution of the end-to-end Discovery & Delivery process for assigned products. They translate strategic direction into structured discovery, validated solutions, and high-quality delivery. This role is accountable for creating discovery artifacts, validating hypotheses, writing clear PRDs, maintaining a healthy backlog, and ensuring measurable product outcomes through strong metrics ownership.
The role reports directly to the CPO, Marcus Wiberg: https://www.linkedin.com/in/marcuswiberg/
Responsibilities
Vision
Establish a clear product direction by creating the Overview Page
Define measurable outcomes and success criteria
Align closely with Venture Building (VB) stakeholders on goals and constraints
Opportunities
Identify and structure problem spaces by mapping opportunities
Build and maintain an Opportunity Solution Tree (OST)
Prioritize the opportunity backlog
Define success metrics and learning goals
Solution Design
Formulate clear product hypotheses
Coordinate validation across design and engineering
Synthesize learnings from validation loops
Drive evidence-based product decisions
Delivery
Convert validated solutions into execution via high-quality PRDs
Structure and maintain Jira backlogs
Support sprint execution and delivery clarity
Track delivery and outcome metrics
Skills Required
Hypothesis-driven thinking (falsifiable statements, accept/reject criteria)
PRD writing (testable acceptance criteria, measurable outcomes)
Stakeholder communication (VB alignment, engineering handoff)
Data literacy (PostHog analytics, metrics interpretation)
AI tool proficiency (agents, slash commands)
Tools
Confluence: PRDs, discovery artifacts, reports
Jira: Discovery + Delivery backlogs
Figma: Review design artifacts, provide feedback
PostHog: Feature metrics, user analytics
Claude Code: Hypotheses Agent, Delivery Agent, Metrics Agent
AI Product Manager
AI Product Manager