Staff Product Manager, Platform

Verily•Boston, MA

About The Position

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. 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 Foundations, you'll be the driving force behind the platform's operational excellence, financial health, and user enablement. You will own the strategy for product observability, manage complex cloud and AI financial operations (FinOps), and lead our end-user support and documentation ecosystems, ensuring researchers can scale their work securely, efficiently, and cost-effectively.

Requirements

Bachelor’s degree in Computer Science or a relevant technical field, or equivalent practical experience.
5+ years of hands-on experience in 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.
Proven track record of defining, instrumenting, and analyzing product telemetry.
Hands-on experience with product analytics and BI tools (e.g., Pendo, Looker,...) to measure feature adoption and user engagement.
Qualified applicants must not require employer sponsored work authorization now or in the future for employment in the United States.

Nice To Haves

Deep experience and understanding of advanced features of cloud computing environments including GCP, AWS, NVIDIA Cloud, and Azure.
Experience in the life sciences, healthcare technology, bioinformatics, or working with Trusted Research Environments (TREs).
Deep understanding of the operational cost structures associated with Cloud and AI/ML, including model training, fine-tuning, inference costs, and token-based billing models.
Familiarity with the underlying data architectures required to build custom billing, chargeback, or platform telemetry pipelines.
Exceptional ability to translate complex financial data and technical utilization metrics into clear, actionable insights and strategic narratives for executive leadership.

Responsibilities

Define and execute a comprehensive observability strategy.
Establish, track, and report on core product metrics for user engagement, platform adoption, and feature-level utilization to drive data-informed roadmap decisions.
Own the financial health of the Workbench platform on behalf of customers.
Manage customer budgets, forecast platform spend, and optimize costs associated with multi-cloud infrastructure, AI model training/inference, and other technical operations.
Oversee the end-user support experience.
Manage and optimize the suite of support tools, technical documentation, and self-serve content ecosystems that empower researchers, data stewards, and administrators to succeed on the platform.
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.
Lead cross-organizational efforts and build consensus among stakeholders across finance, engineering, customer success, and clinical informatics to ensure a unified approach to platform sustainability and user satisfaction.