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10x Genomics Logo 10x Genomics · IT - Software Development

Senior Technical Program Manager, Productivity Engineering (Data Platform · AI Transformation)

United States, Pleasanton Employment contract 164100.00 - 222100.00 USD / Year · Job Posted June 28, 2026
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Job Description

10x Genomics is rewriting the rules of biological discovery — and our platform needs to move as fast as our science. We are building a modern, AI-first technology stack, and this role sits at the center of it. We are looking for a Senior TPM who thrives in ambiguity, builds the plan rather than inherits one, and understands that data programs are not just delivery work — they are the foundation that makes AI possible. You will own the roadmap across our AI / Data Platform and integration programs, and you will expand your scope as the org scales. You have operated in environments where the process did not exist yet — and you built it. You do not wait for a fully-defined charter. You are energized by a flat org, a direct reporting line to leadership, and the expectation that you own outcomes end-to-end.

Job Responsibility

  • Own and drive the roadmap across AI / Data Platform and Finance integration programs
  • expand scope as the business grows
  • Take programs from zero to shipped — scoping, sequencing, dependency management, risk visibility, and retrospective
  • Translate ambiguous business problems into structured, time-bound programs with clear milestones and decision points
  • Run delivery end-to-end without needing a playbook handed to you. You write the playbook
  • Hold engineering, product, and business teams accountable to commitments — without relying on hierarchy to do it
  • Understand how Data Platform programs create upstream capability for AI and ML — design with that lens from day one
  • Own AI-specific program tracks: NLQ rollout, Bedrock integrations, model deployment pipelines, and data readiness for AI
  • Partner with Data Engineering, Product, and Science teams to ensure programs are not just delivered but compound into AI readiness
  • Push teams to think end-to-end: what does this program unlock downstream, and are we building toward that
  • Represent the AI program portfolio to senior leadership with clarity on status, risks, and strategic trajectory
  • Own delivery of modernized integration programs — ensuring cross-application flows (ERP, CRM, supply chain) work reliably on a modern tech stack
  • Drive the retirement of fragile legacy middleware and the adoption of event-driven, scalable integration patterns
  • Partner with Finance, Operations, and Engineering to translate business process requirements into well-architected integration programs
  • Ensure tax, order management, procurement, and revenue-impacting workflows have zero-tolerance reliability standards
  • Define the integration roadmap in partnership with architects and engineering leads — own it, defend it, and ship it
  • Operate effectively in a flat org: influence without hierarchy, build alignment without bureaucracy
  • Be the connective tissue across Engineering, Product, Finance, and Operations — translate technical complexity into business impact
  • Identify cross-program risks before they become incidents. Escalate with a proposed solution, not just a flag

Requirements

  • 5+ years of TPM experience with demonstrated ownership of complex, multi-stakeholder programs
  • Meaningful time at a mid-stage startup (Series A–D), or equivalent experience as a founder or early employee — you know what it means to build without a safety net
  • Hands-on delivery across data infrastructure or data platform programs: pipelines, warehousing, ELT, real-time data flows
  • Fluency in modern integration patterns — you can hold a substantive conversation with engineers about event-driven architecture, API design, and middleware retirement without needing a glossary
  • Proven ability to build the roadmap, not inherit one. You have done this before and have the scars to show it
  • Strong written and verbal communication — you can write a crisp exec update and a detailed program brief and know when each is appropriate

Nice to have

  • Experience driving AI or ML programs: NLQ, model deployment pipelines, feature stores, or GenAI product integrations
  • Familiarity with the 10x stack or equivalent: Snowflake, Airflow, Kafka, dbt, AWS, Oracle Fusion
  • Background in life sciences, genomics, or regulated data environments
  • Worked cross-functionally across Engineering, Product, Finance, and Operations simultaneously — not sequentially

What we offer

  • Equity grants
  • comprehensive health and retirement benefit programs
  • annual bonus program or sales incentive program
  • Health Package
  • Easy-to-use Benefits
  • Family oriented
  • Generous Time Off
  • Award-Winning Workplace
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