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Staff Product Manager, Platform Telemetry and FinOps

Verily


Job Location:

Boston, MA - USA

Yearly Salary: USD 197000 - 295500
Posted: 19 September 2026 (23 days ago)
Application Deadline: 8 January 2027
Vacancies: 1 Vacancy

Job Summary

Who We Are


Verily Health is a data platform and technology company purpose-built to power AI-enabled precision health solutions that accelerate research and improve care for individuals and communities. Uniquely positioned at the intersection of technology data science and healthcare Verily transforms multimodal health data into insights models and actions that make healthcare more personalized predictive and precise.

Description

Verily Workbench is the researcher-facing core of our AI-driven precision health platform designed to harmonize and curate comprehensive multi-modal datasets for the life sciences and pharma industries. By modernizing and simplifying biomedical data analysis Workbench facilitates safe collaboration and helps our partners accelerate R&D and reduce the time to market for critical therapies.


As a Staff Product Manager for Workbench Scientific Computation youll be the driving force behind the platforms core scientific execution engines scientific workflows and AI modeling infrastructure. You will own the strategy for large-scale workflow orchestration empower pharma and life sciences organizations to accelerate R&D and lead our integration with cutting-edge compute stacksincluding the NVIDIA life sciences ecosystemensuring researchers can execute complex analyses securely efficiently and cost-effectively.


Responsibilities

  • Drive Scientific Workflows & Compute Strategy: Define and execute a comprehensive roadmap for scientific workflow orchestration (Nextflow WDL Cromwell dSub). Deliver high-performance execution cost transparency and seamless multi-cloud scale across GCP AWS and Azure for pharma and biotech partners.
  • Champion NVIDIA Stack & AI Integration: Lead platform integration with the NVIDIA life sciences software and hardware ecosystem (e.g. BioNeMo Parabricks RAPIDS and advanced GPU acceleration like H200/B200 Blackwell). Enable turnkey generative AI and advanced computational biology modeling in the platform.
  • Accelerate Pharma & Life Sciences R&D: Partner directly with top-tier pharmaceutical biopharma and research institute customers to understand their complex data pipeline needs translating domain requirements into scalable production-grade computation capabilities.
  • Partner with Engineering: Collaborate with a multi-disciplinary team of engineers data analysts and designers to build robust telemetry pipelines implement cost-tracking dashboards and seamlessly integrate support and documentation tools directly into the user workflow.
  • Influence Across Teams: Lead cross-organizational efforts and build consensus among stakeholders across engineering computational biology commercial GTM and strategic partners to ensure a unified approach to platform sustainability and researcher success.

Qualifications

Minimum Qualifications

  • Bachelors degree in Computer Science or a relevant technical field or equivalent practical experience.
  • 5 years of product management experience ideally focused on technical platforms data infrastructure or developer tools.
  • Proven track record of leading cross-functional teams (engineering design analytics) to ship technical products in an agile environment.
  • Experience building and scaling advanced data platforms and AI-driven tools tailored for R&D in the pharma biopharma and life sciences sectors
  • Partnered with commercial customer success and solution delivery teams to engineer product features that accelerated sales cycles and streamlined client implementations

Preferred Qualifications

  • Knowledge of workflow orchestration systems (e.g. Nextflow WDL Cromwell or Airflow) and experience with cloud infrastructure (AWS GCP or Azure).
  • Experience and understanding of cloud computing environments including GCP AWS NVIDIA Cloud and Azure.
  • Hands-on familiarity with the NVIDIA stack for life sciences (e.g. BioNeMo Parabricks RAPIDS NeMo) and specialized hardware reservation architectures (A100 H100 H200 B200 GPUs).
  • Familiarity with the underlying data architectures required to build custom billing chargeback or platform telemetry pipelines.

Qualified applicants must not require employer sponsored work authorization now or in the future for employment in the United States.


The US base salary range for this full-time position is $197000 - $295500 bonus equity benefits. Our salary ranges are determined by role level and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range individual pay is determined by work location and additional factors including job-related skills experience and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.


Please note that the compensation details listed in US role postings reflect the base salary only and do not include bonus or benefits.


Verily Life Sciences LLC is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race color religion sex sexual orientation gender identity national origin disability or protected veteran status. For our EEO Policy Statement please click here. If youd like more information on your EEO rights under the law please click here.


If you have a need that requires accommodation please let us know by completing our Accommodations for Applicants form.


Required Experience:

Staff IC


About Company

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Verily, an Alphabet company, is building the future of precision health. Our AI-native platform transforms complex health data for research, care, and better patient outcomes.

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