The ReWork Group partners with high-growth startups and forward-thinking companies to build the future. They are seeking a deeply technical and visionary Principal Product Manager to architect and lead an AI-native platform strategy, transforming disparate internal products into a unified platform that enhances company-wide technology capabilities.
Responsibilities:
- Define and champion a multi-year platform vision that balances immediate enterprise acceleration with long-term innovation in agentic AI systems
- Own the complete product lifecycle—from strategic concepting through scaled deployment—for a platform that will touch every corner of the business
- Translate ambitious technical possibilities into concrete, prioritized roadmaps of services, frameworks, and developer tools
- Partner intimately with engineering, data science, and AI/ML teams to platformize internal products into modular, scalable services and APIs
- Engage deeply in architectural decisions, model evaluations, system design, and feasibility assessments—this role requires genuine technical fluency
- Build automated evaluation and safety frameworks with comprehensive prompt-test coverage, unified dashboards for usage/quality/cost/latency metrics
- Deploy AI-driven compliance automation that measurably reduces analyst handling time and accelerates application workflows
- Proactively hunt for bottlenecks, process gaps, and scaling challenges before they become problems
- Define success metrics that matter: developer velocity, operational efficiency gains, adoption rates, and AI output quality/safety
Requirements:
- Proven product leadership: Multiple successful launches of both user-facing products AND internal platforms/tools
- Program management at scale: Track record owning large, complex initiatives with numerous stakeholders and cross-functional dependencies
- Technical depth: Ability to engage credibly in system architecture discussions, evaluate ML models, and understand infrastructure trade-offs
- Entrepreneurial product thinking: You see around corners, connect dots others miss, and thrive in ambiguity
- Deep understanding of AI/ML systems, APIs, developer platforms, and modern software architecture
- Experience with platform thinking—building reusable, composable services rather than point solutions
- Comfort with technical metrics: latency, throughput, model performance, system reliability