Senior Technical Program Manager, Product

Responsibilities

• Lead complex programs end-to-end: scope, plan, sequence, deliver, and land measurable outcomes across multiple teams.
• Run planning for the org: drive quarterly and roadmap cycles, facilitate prioritization and resourcing tradeoffs, and align Engineering and Product on a single sequenced plan.
• Build and maintain program plans, timelines, risk registers, and dependency maps, and keep them current as programs evolve.
• Coordinate delivery of data platform capabilities (pipelines, datasets, data services, schema and data contract changes) across producing and consuming teams.
• Own release gating for the data platform, ensuring quality, lineage, and readiness criteria are met before ship.
• Drive cross-functional alignment across product, engineering, and platform teams at the senior leadership level.
• Represent program health, risks, and tradeoffs clearly to VP and senior leadership, and run the operating rhythms (standups, reviews, retros) that keep teams aligned.
• Shape how the team operates by introducing scalable planning, release, and program norms that extend beyond your own workstreams.

Requirements

• Deep experience leading complex, cross-functional programs end-to-end in an engineering or product org.
• Track record owning org-level or multi-team planning cycles: roadmap planning, prioritization, resourcing, and dependency management, not just individual project execution.
• Experience working with healthcare data (claims, EHR/RWD, provider/patient identity, or coding systems like ICD/NDC/CPT) and the compliance considerations that come with it.
• A release-manager's instinct for gates and readiness reviews, including data quality gates, so nothing ships before it is ready.
• Strong technical fluency: able to engage substantively with data engineers on pipelines, schemas, lineage, and data contracts.
• Curiosity about how systems and data are built and where they break, rather than treating them as a black box.
• Ability to influence senior stakeholders and drive decisions without direct authority.
• Exceptional written and verbal communication, including executive-level reporting.
• Expected to actively use AI tools to accelerate program planning, synthesize feedback from beta programs, generate status communications, and identify patterns across large datasets.

Nice-to-Haves

• Prior exposure to AI/ML cycles: model evaluation, data quality gates, iterative release patterns.
• Experience delivering data platform work: ingestion pipelines, data warehouses or lakes, data contracts, or data services.
• Working understanding of healthcare data and its sensitivities, or a track record of getting fluent in a complex data domain quickly.
• Prior experience at a high-growth or large-scale company where execution complexity required building new program infrastructure, not following existing playbooks.

Compensation

• San Francisco Bay Area and New York City: $173,000—$215,000 USD
• All Other US Locations: $150,000—$185,000 USD
• Eligible for performance-based bonuses, equity awards, comprehensive health/dental/vision insurance, flexible time off, 401(k) match, and other benefits.