Head of Product Operations

Suki AI Suki AI · Vertical AI · Suki HQ · Product

Head of Product Operations at an AI-first healthcare company focused on building the operational backbone for the product organization. This role will design and implement product development processes, build the product analytics engine, manage cross-functional programs, oversee the product tech stack, and drive strategic communications. The goal is to ensure efficient execution, data-informed decisions, and alignment with business outcomes for AI-powered products.

What you'd actually do

  1. Design and implement end-to-end product development processes—from ideation through launch and iteration—that maximize speed, quality, and cross-functional alignment
  2. Stand up and scale a product analytics function that delivers actionable insights on usage, adoption, retention, and clinical outcomes
  3. Lead complex, cross-functional programs spanning product, engineering, clinical, regulatory, and commercial teams
  4. Evaluate, implement, and optimize the product team’s technology stack—including product analytics, feedback management, experimentation, roadmapping, and project management tools
  5. Design and own the product communication cadence: stakeholder updates, release notes, internal product reviews, and customer advisory board coordination

Skills

Required

  • 10+ years of experience in product operations, program management, product analytics, or a closely related function
  • at least 5 years in a leadership role
  • Proven experience in healthcare technology or related industry
  • program management rigor
  • analytics depth
  • building product operations functions from the ground up in fast-growing technology companies
  • Deep expertise in product analytics: defining metrics frameworks, building dashboards, and driving data-informed product decisions
  • Exceptional cross-functional leadership
  • influence without authority
  • build trust with product, engineering, design, clinical, and commercial stakeholders
  • Technically fluent

Nice to have

  • Experience with AI/ML-powered products
  • understanding of the unique operational challenges of shipping AI at scale (model lifecycle, data quality, experimentation frameworks)

What the JD emphasized

  • build the connective tissue between product, engineering, data, and our go-to-market teams
  • build and scale the systems, processes, and analytics capabilities
  • define what world-class product operations looks like
  • build product operations functions from the ground up
  • understanding of the unique operational challenges of shipping AI at scale