Trial Library

Trial Library

Chief Commercial Officer

San Francisco, CA · Exec

Sponsorship not specified$200k-$320kDetected 5 days ago
CRMNegotiationForecastingClinical TrialsResearchLeadershipCollaboration

About the role

  • This is a senior leadership role with significant impact on our growth trajectory, responsible for owning the company's commercial vision and scaling a high-performing team.

Responsibilities

  • Opportunity for growth - join at an early stage with meaningful exposure to company-building and decision-making

Requirements

  • Experience leading go-to-market strategy development and execution.
  • Entrepreneurial mindset with the ability to thrive in a fast-paced, early-stage startup environment.
  • 12+ years of progressive experience in commercial leadership roles in healthcare, digital health, life sciences, or related industries.
  • Proven track record of building and scaling revenue engines in high-growth organizations.
  • Deep understanding of health system dynamics, biopharma partnerships, and payer/employer incentives.
  • Strong negotiation and relationship management skills with C-level executives across healthcare sectors.
  • Demonstrated success building and managing high-performing commercial teams.
  • Why Trial Library
  • Mission that matters - every enrollment we accelerate is a patient who gains access to potentially life-changing treatment
  • Real ownership - you'll be the marketing function, with direct influence on strategy, budget, and outcomes
  • Collaborative, high-trust team - small enough that your work is visible, experienced enough that you'll learn fast
  • Competitive compensation, equity, and benefits commensurate with experience

Compensation

  • Competitive compensation, equity, and benefits commensurate with experience

Benefits

  • Competitive compensation package including salary, equity, and benefits based on experience
  • Celebrate measurable improvements in equity outcomes

This listing is sourced directly from Trial Library's careers page and normalized into a canonical job model.