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.
QualificationsMinimum 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.
