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Product Manager, Service Referral Management

Job in San Francisco, San Francisco County, California, 94199, USA
Listing for: Jobtailor
Full Time position
Listed on 2026-08-02
Job specializations:
  • Business
    Business Analyst, AI Business & Operations
Salary/Wage Range or Industry Benchmark: 140000 - 190000 USD Yearly USD 140000.00 190000.00 YEAR
Job Description & How to Apply Below

Responsibilities

  • Own product strategy and roadmap for the SRM product.
  • Translate the needs of caseworkers, agency leadership, private providers, and families into a clear multi-year vision and a sharp quarterly roadmap.
  • Drive the metrics that matter: services referred and completed, FFPSA reimbursement claimed, provider response time, family engagement, and social worker time saved.
  • Identify where AI can transform prevention workflows and partner with engineering to ship responsibly.
  • Prototype rapidly using AI tools (Lovable, Claude, Cursor, v0) to test ideas with users in days, not weeks. We expect PMs to use AI aggressively in their own workflow.
  • Shadow caseworkers, supervisors, private providers, and families. Deep user understanding is non-negotiable here, especially in a domain as complex and consequential as prevention services.
  • Push configurability and scale. SRM has to flex to every state's FFPSA prevention plan, eligibility criteria, and provider network while staying coherent and minimizing operational overhead.
Requirements
  • 3+ years of product management experience, preferably at a high-growth B2B or enterprise SaaS company. Experience with regulated, government-facing, or complex workflow software is a plus.
  • A track record of scaling products meaningfully — taking something from early-stage to category-defining.
  • Comfort with multi-sided platforms and complex stakeholder dynamics: you've navigated products where different user types have different views, permissions, and incentives.
  • AI-native in how you work and what you build. You already use Claude, Cursor, Lovable, or v0 daily, and have informed opinions on where LLMs and agentic patterns belong (and don't) in high-stakes workflows.
  • Deep experience with user research and turning those insights into actionable updates.
  • Comfort wearing many hats — flexing into UX, design, prompt engineering, and project management as needed.
  • Sharp judgment on tradeoffs: north star vs. MVP, quantitative vs. qualitative, customer-specific vs. platform, configurability vs. simplicity.
  • Excellent written and verbal communication with a range of audiences, from executives and agency leadership to caseworkers and provider staff.
  • Passion for building and working with diverse teams, as well as Binti's mission and values.
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