GH

GH

Director, Oncology Product Management (Therapy Selection)

Palo Alto, CA · Director

Sponsorship not specified$221k-$304kDetected 11 hours ago
Product ManagementProduct StrategyPerformance ManagementPatient CareFDA RegulatoryBioinformaticsNGSLeadershipCommunicationCollaborationMentoring

About the role

  • Company Description Guardant Health is a leading precision oncology company focused on guarding wellness and giving every person more time free from cancer.
  • Guardant tests help improve outcomes across all stages of care, including screening to find cancer early, monitoring for recurrence in early-stage cancer, and treatment selection for patients with advanced cancer.
  • For more information, visit guardanthealth.com and follow the company on LinkedIn, X (Twitter) and Facebook.

Responsibilities

  • Lead end-to-end execution of the Guardant360 Liquid and Guardant360 Liquid CDx roadmaps - new biomarkers and features, assay optimization, workflow enhancements, and indication/companion-diagnostic label expansion.
  • Drive launch execution through phase gates and release readiness reviews
  • own product lifecycle and change-management activities across both the LDT and CDx offerings.
  • Work cross-functionally with R&D, clinical development, regulatory, and quality to support CDx submissions and ensure compliance in regulated environments (IVD, CLIA, CAP, FDA).
  • Partner with biopharma stakeholders to align companion diagnostic development with drug programs, biomarker-driven trials, and precision-medicine objectives.
  • Set clear people leadership expectations for the team, including coaching, performance accountability, prioritization, and development of talent to support business objectives.
  • Drive launch execution through phase gates and release readiness reviews; own product lifecycle and change-management activities across both the LDT and CDx offerings.
  • If you need support, please reach out to Peopleteam@guardanthealth.com
  • You would own product strategy, roadmap execution, and commercial readiness for the Guardant360 Liquid therapy selection products.

Requirements

  • Typically requires: ~15 yrs with a Bachelor's
  • Employee may be required to lift routine office supplies and use office equipment.
  • Ability to sit for extended periods of time.
  • A background screening including criminal history is required for this role.
  • 12 with a Master's
  • 8 with a PhD
  • or 5 with a PharmD/MD within life sciences, bioengineering, molecular biology.
  • Prior knowledge of the competitive/reimbursement landscape is preferred.
  • AI & Digital Fluency

Nice to have

  • Strong clinical science grounding and knowledge of clinical practice in oncology and biomarker-driven therapy selection is required.
  • Deep understanding of liquid biopsy and molecular diagnostics
  • familiarity with NGS assays and Guardant360 or comparable products is required.
  • Strong strategic thinking, execution of rigor, and cross-functional leadership is required.
  • Previous people leadership experience, including direct management of team members, coaching, performance management, and talent development is required.
  • 8+ years, including end-to-end product leadership is preferred.
  • Working knowledge of diagnostic assay workflows and regulated-lab environments (CLIA, CAP, IVD, FDA)
  • familiarity with companion diagnostic (CDx) development and submissions is preferred.

Compensation

  • $221,100 - $304,050Other
  • $187,935 - $258,443If the role is performed in
  • $198,990 - $273,645

Benefits

  • Guardant Health is a leading precision oncology company focused on guarding wellness and giving every person more time free from cancer.
  • Our Guardant Health Director, Oncology Therapy Selection Products reports to our Senior Director of Product Management and drives market evolution across Guardant Health's liquid biopsy therapy selection portfolio.

Equal opportunity

  • All your information will be kept confidential according to EEO guidelines.

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