Responsibilities
- Use AI to prototype fast — Spin up prototypes with Claude Code, Cursor, Lovable; show, not tell
- Bridge engineering and business — Understand data systems deeply enough to explain what’s possible
- Be the gelling function — Break down walls between teams; create shared context
- Own a product area end-to-end — Strategy, roadmap, execution, outcomes
- Drive business outcomes — North star is revenue and customers, not features shipped
- Talk to customers every day — Literally
Requirements
- 3-6 years in product management (B2B SaaS or AI-native preferred)
- Technical depth in AI agent architecture, context engineering, LLM-based systems
- Proficiency using AI tools to rapidly prototype
- Success owning a product from concept through launch
- Track record bridging engineering and business teams
Nice to Have
- Insurance, fintech, or regulated industry experience
- Background in AI/ML products, voice AI, or workflow automation
- Prior startup experience (Series A/B)
- Experience building product functions from scratch
Benefits
- Health, dental, and vision insurance
- Commuter benefits
- Team meals and snacks
Work Arrangement
On-site
Additional Information
- The hours are long. The learning curve is steep. The people who thrive here wouldn't have it any other way.
- Monday–Friday, 5 AM – 8 PM.
