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Guardant Health

FDA-approved blood-based cancer diagnostics provider

Clinical Systems Product Manager - LIS or LIMS

Product ManagementUpdated on Nov 14
Full-timeRedwood City, CA, USA

About the Job

Requirements

  • A bachelor's degree in a technical discipline such as computer science, engineering, informatics, or life sciences, or equivalent professional experience.
  • Eight or more years of experience in laboratory systems, process engineering, requirements management, product management, or technical program management.
  • Demonstrated experience with a LIS or LIMS in a regulated clinical diagnostic laboratory.
  • Strong knowledge of laboratory workflows, sample lifecycle, accessioning, testing, result review and reporting, quality controls, and system integrations.
  • Demonstrated experience gathering, synthesizing, and translating complex stakeholder requirements into clear technical specifications.
  • Working knowledge of product development processes and software development lifecycles, regulated computer-system validation, change control, data integrity, and applicable requirements such as CLIA, CAP, and/or ISO standards.
  • A proven track record of working successfully across technical and non-technical teams in regulated environments.
  • Experience with software architecture, platform design principles, and technical debt management.
  • Curiosity, sound judgment, and the ability to critically evaluate and responsibly leverage AI-enabled tools in accordance with company policies, ethical standards, and regulatory requirements.

Responsibilities

  • In partnership with Product, Software Engineering, and sample end-to-end operations teams, develop and communicate the long-term vision for LIS aligned with business strategy, clinical growth, regulatory commitments, and operational priorities.
  • Understand software platform architecture, design principles, reusability patterns, and scalability implications.
  • Identify opportunities to build shared services, workflows, and data models that reduce redundancy and improve operational consistency.
  • Balance short-term operational needs with long-term platform modernization and NPI activities.
  • Systematically gather software requirements and enhancement requests from production-critical teams.
  • Map current-state and future-state workflows across pre-analytical, analytical, and post-analytical operations, from sample order through sample report.
  • Translate stakeholder feedback, operational observations, and data into documented, prioritized requirements.
  • Consolidate competing or overlapping requests and identify common patterns and themes to group similar requirements into cohesive features.
  • Translate prioritized operational requirements into clear technical user stories, swim-lane diagrams, and wireframes as needed, enabling effective software design and development.
  • Partner with software engineering to assess technical feasibility and identify architectural considerations, dependencies, and level of effort for proposed features.
  • In partnership with Product and Software Engineering, develop and maintain a quarterly operations product roadmap aligned with operational priorities, regulatory requirements, and enterprise software architecture.
  • Use operational data and analytics to drive business insights, quantify improvement opportunities, and prioritize LIMS and workflow-automation investments.
  • Ensure the creation of a multi-year vision for LIS capabilities, platform standardization, and technical debt reduction.
  • Oversee products and features from conception through design, development, testing, deployment, and optimization.
  • Participate in sprint demos, support user acceptance testing, and gather feedback to validate that delivered features meet operational needs.
  • Identify continuous-improvement opportunities and feed learnings back into the roadmap.
  • Partner closely across end-to-end operations functions, Product, Software Engineering, Quality, and Informatics to ensure alignment on priorities and feasibility.
  • Act as a bridge between end-to-end operations functions and technical teams, translating domain language and technical concepts bidirectionally.
  • Manage stakeholder expectations around timelines, scope, and trade-offs.
  • Facilitate collaborative decision-making when requirements conflict or resources are constrained.

About the Company

Guardant Health

FDA-approved blood-based cancer diagnostics provider

Guardant Health develops blood-based cancer diagnostics and sells tests to healthcare providers and research institutions. Its flagship product, Guardant360, uses a liquid biopsy to analyze tumor DNA circulating in a patient’s blood to detect mutations and guide treatment decisions for advanced cancer. The company is expanding into early detection and recurrence monitoring, with tests designed to be non-invasive and data-rich for cancer management. Compared with competitors, Guardant Health emphasizes a widely adopted, FDA-approved liquid biopsy platform with broad cancer-type coverage and a focus on providing actionable genomic insights to clinicians. Its goal is to improve cancer outcomes by enabling non-invasive, data-driven decision making across stages of disease and over time.

Company size
1,001-5,000
Company stage
IPO
Headquarters
Palo Alto, CA
Founded
2012

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