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Slingshot AI is building Ash, an AI-powered mental health support platform. The company has raised $93M in Series A funding from top-tier investors including Andreessen Horowitz and operates offices in New York City and London.
You will join as a hands-on Product Manager focused on B2B partnerships, responsible for bringing Ash to more people through strategic partner integrations. Your work will center on three core areas: integrating Ash into partners' systems and workflows, meeting compliance and operational requirements, and measuring health outcomes and adoption.
Key responsibilities include:
- Embedding with partner organizations (payers, provider groups, and others) to deeply understand their operations and workflows
- Building, testing, and iterating quickly on product changes and integrations
- Owning the technical and operational aspects of partner integrations, defining data flows between systems
- Translating compliance, privacy, security, and clinical requirements into product decisions and operational processes
- Driving projects from conception through launch and adoption, defining success metrics and resolving blockers
- Establishing measurement frameworks with partners to track adoption, engagement, and health outcomes
- Collaborating cross-functionally with engineering, design, clinical, research, privacy, and legal teams
You will work closely with the consumer product team and directly with founders, having significant influence on company direction and accountability for execution. This role requires travel between New York and London offices approximately once every one to two months.
Requirements:
- 3–5 years of experience in consulting, product, business operations, or related areas, with demonstrated experience building a product from the ground up at a startup
- Must have product experience (though not necessarily as a "Product Manager" title)
- Track record of building something from scratch and iterating on it (product, business, side project, community, etc.)
- Ability to move quickly, shrink ideas to testable hypotheses, and make decisions with incomplete information
- Comfortable working directly with customers, listening carefully, building trust, and pushing back thoughtfully
- Data-driven mindset: ability to structure messy problems, work with qualitative and quantitative data, and change direction based on evidence
- Comfort with detail work, especially in compliance and integrations; ability to learn quickly and ask precise questions
- Hands-on approach: willing to interview users, sketch flows, build prototypes, analyze funnels, and chase down blocking details
- Proficiency using AI tools to build, test, and learn faster
- Deep personal care about mental health and commitment to making support more accessible
