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.
DescriptionVerily 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, you'll be the driving force behind the platform's 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 stacks—including the NVIDIA life sciences ecosystem—ensuring 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
- Bachelor’s 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 $197,000 - $295,500 + 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 you'd 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.
Skills Required
- Bachelor's degree in Computer Science, a relevant technical field, or equivalent practical experience
- 5+ years of experience leading the definition, development, and maintenance of multi-tenant platform systems
- Experience leading designers, engineers, and data analysts to build technical products in an agile environment
- Experience defining, instrumenting, and analyzing product telemetry
- Hands-on experience with product analytics and BI tools such as Pendo or Looker
- Advanced cloud computing experience with GCP, AWS, NVIDIA Cloud, and Azure
- Experience in life sciences, healthcare technology, bioinformatics, or Trusted Research Environments
- Understanding of cloud and AI/ML operational cost structures, including training, fine-tuning, inference, and token-based billing
- Familiarity with data architectures for custom billing, chargeback, or platform telemetry pipelines
- Ability to translate financial and technical utilization metrics into executive-level insights and narratives
Verily Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Verily and has not been reviewed or approved by Verily.
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Retirement Support — Feedback suggests the 401(k) program and employer match are notably competitive and valued. This support is seen as a standout element within the total rewards package.
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Parental & Family Support — Parental leave is characterized as generous versus common industry practice. This breadth of family support stands out within the overall benefits offering.
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Healthcare Strength — Health coverage is described as comprehensive across medical, dental, and vision, with HSA support referenced. These features contribute to a perception of robust healthcare benefits.
Verily Insights
What We Do
Verily is an Alphabet company combining a data-driven, people-first approach to bring the promise of precision health to everyone, every day. We are focused on generating and applying evidence from a wide variety of sources to change the way people manage their health and the way healthcare is delivered - shifting the paradigm from “one size fits all” medicine to one focused on a more comprehensive view of the individual that leads to a more personalized path forward. For more information, please visit verily.com.
