Senior Technical Program Manager, Productivity Engineering; Data Platform * AI Transformation

About the Role

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.

• 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.

• 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.

• 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.

$164,100 — $222,100 USD

Base pay is just one component of the company's total compensation package. In addition, the role is eligible for company equity grants, comprehensive health and retirement benefits, and an annual bonus program or sales incentive program.

Individuals seeking employment at 10x Genomics are considered without regards to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation, or any other characteristic protected by applicable law.