Six Figure Work

Staff Product Manager, Platform Telemetry and FinOps

Verily

Company websiteverily.com (Verily, opens in new tab)

Base salary $197,000  to $295,500

Employer-published annual base salary, USD. Advertised base range in Boston, MA

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  • LocationBoston, MA
  • WorkplaceHybrid
  • Status at last checkSource accepting applications when checked
  • Last checked (1 h ago) · observed since

About this job

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 Telemetry and FinOps, 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.


Responsibilities


  • Drive Product Observability & Telemetry: 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.
  • Lead Financial Management & FinOps: Own the financial health of the Workbench platform. Manage budgets, forecast platform spend, and optimize costs associated with multi-cloud infrastructure, AI model training/inference, and other technical operations.
  • Champion End-User Support & Enablement: 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.
  • 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 finance, engineering, customer success, and clinical informatics to ensure a unified approach to platform sustainability and user satisfaction. Deliver Impact: Own the product lifecycle for foundational platform operations, delivering solutions that measurably improve the efficiency, cost-effectiveness, and daily experience of our customers' research.

Qualifications


Minimum Qualifications

  • 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 clinical informaticists 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.
  • Direct experience managing technical budgets, forecasting spend, and driving cost-optimization initiatives for cloud infrastructure (GCP, AWS, Azure) and scalable compute environments.

Preferred Qualifications

  • 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 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.

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 Health inc. 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.

Source: Verily on Workday · View original posting (opens in new tab)

Pay in context

This role's base floor ($197,000) is above 91% of the 183 Product roles in Massachusetts listed on this site. Their median floor is $141,000; the middle half runs from $120,000 to $170,000.

Only jobs on this site count, and each one publishes a base salary of $100,000 or more, so this compares six-figure jobs with each other, not with the whole market. Computed Nov 8, 2026.

This range next to 6 other live Verily roles with the nearest advertised base floor
Chart as a table
This range next to 6 other live Verily roles with the nearest advertised base floor
RolePublished base
Staff Product Manager, Platform Telemetry and FinOps (this listing)$197,000 - $295,500
Senior Staff Product Manager, B2B Care Solutions$197,000 - $295,500
Director of Solutions Engineering$198,000 - $222,500
Senior Software Engineer$191K - $215K
Senior iOS Software Engineer, Verily Me$191K - $215K
Senior Android Software Engineer, Verily Me$191K - $215K
Staff Solutions Architect$190K - $213K

Same $100K to $400K scale as every card. All Verily roles · How to read the bar

Observed changes

  1. First observed on the employer's board
  2. Began meeting the published-salary criteria
Observed since
Employer-stated posting date
2026-10-16
Where this pay comes from

Location as the employer wrote it: Boston, Massachusetts

The US base salary range for this full-time position is $197,000 - $295,500 + bonus + equity + benefits. Our salary ranges are determin

Method
Employer text, read with fixed rules and re-verified
Checked
Rule set
us-base-v2

The pay passage appears in the employer's own job text. Fixed, deterministic rules located it, and the passage below was checked against the stored copy of the posting.

What we verified

  • The pay figures come from the employer's own listing, quoted exactly above.
  • The pay is an annual base salary in US dollars with a minimum of at least $100,000.
  • The role was publicly listed on the employer's job board when last checked.

We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.

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