Senior Product Manager

Clipboard
Hybrid

About The Position

Clipboard is a Sequoia-backed marketplace connecting nurses and healthcare professionals with long-term care facilities, with over $800M in annual transactions. We're hiring Senior Product Managers to own core domains of the marketplace. Think pricing, matching, reliability, facility onboarding; all the systems the business runs on! You'll be running a domain where the right answer changes as the marketplace changes, and where your mental model and prioritization are the single most valuable artifact your team has. You will: Build the mental model. Grounded in customer conversations, support tickets, Salesforce, and our own data. Pick the metrics. The ones that tell you and the org whether you're serving that customer well. When the right metric doesn't exist, you say so and propose the best proxy, limitations stated. Steward the improvements. Research, experiments, core flow changes, technical investments. An excellent PM here doesn’t just move metrics, they make prioritization calls that compound. All of this gets written down and shared constantly. A one-page mental model your team can reference without you in the room. A monthly check-in. Enough visibility that engineers make autonomous decisions and leadership can push back at "is this the right bet" rather than "what's the bet." You'll work alongside an Applied Science team that owns the quantitative infrastructure your domain depends on: pricing algorithms, causal models, experiment frameworks.

Requirements

  • 2+ years of product management, with experience in marketplaces preferred
  • You can query data yourself (SQL or equivalent)
  • You've shipped meaningful features on a small, fast-moving team
  • You write clearly and often
  • Ability to work 2-3 days per week out of either our NYC or San Francisco office

Nice To Haves

  • Background in marketplace product, ops research, or operating roles at fast-scaling startups is a strong signal.

Responsibilities

  • Build the mental model. Grounded in customer conversations, support tickets, Salesforce, and our own data.
  • Pick the metrics. The ones that tell you and the org whether you're serving that customer well. When the right metric doesn't exist, you say so and propose the best proxy, limitations stated.
  • Steward the improvements. Research, experiments, core flow changes, technical investments. An excellent PM here doesn’t just move metrics, they make prioritization calls that compound.
  • Write down and share constantly. A one-page mental model your team can reference without you in the room. A monthly check-in. Enough visibility that engineers make autonomous decisions and leadership can push back at "is this the right bet" rather than "what's the bet."
  • Work alongside an Applied Science team that owns the quantitative infrastructure your domain depends on: pricing algorithms, causal models, experiment frameworks.
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