Sr. Product Manager

Google Chrome Microsoft Edge Apple Safari Mozilla Firefox Sr. Product ManagerFull-timeDepartment: Product ManagementCompany DescriptionDNAnexus is a team of pioneers at the forefront of precision health — building the cloud platform that powers the world's most ambitious genomics and multiomics programs. We partner with leading diagnostics companies, health systems, biopharma, and research institutions to help them move faster, collaborate at scale, and turn complex data into clinical and scientific impact. If you're passionate about transforming healthcare through technology, you'll find a home here.Job DescriptionAbout the RoleDNAnexus is seeking a Senior Product Manager to own the product direction for the data consumption and analytics layer of a modern omics platform for large-scale omics research and cliinical workflows.This is a senior individual contributor role at the intersection of enterprise platform experiences, andlife sciences. You will define the product experience for how users query and analyze omics data at scale, how enterprise teams integrate with their existing analytical tooling, and how users and agentic AI systems will consume analytics capabilities on DNAnexus. You will work closely with software engineers, bioinformatics experts, design partners, and customers at leading pharma and biotech organizations. Your success will be measured by the adoption, scientific credibility, and commercial traction of the capabilities you own.The ideal candidate has a strong platform PM track record with some meaningful exposure to the omics or life sciences domain, and thrives in a technically demanding, customer-facing environment. You bring rigor and speed in equal measure. You will report to the Head of Product.What You Will DoProduct strategy: In partnership with the Head of Product, translate product vision for the omics platform into a credible multi-quarter roadmap for molecular data consumption and analytics .Define researcher and developer experiences: define and iterate on how computational biologists, data engineers, and enterprise teams query, analyze, and extract insights from omics data at scale — including distributed compute workflows, built-in statistical functions, biology specific algorithms, and domain-specific APIs (FHIR, Python).Lead interoperability requirements: specify the integration layer that connects the omics platform to enterprise analytical environments, and other platforms in the omics ecosystem (e.g. SageMaker, Databricks). Define GUI experiences and consumption-layer APIs that serve diverse user types.Define agent-ready platform requirements: in partnership with the AI PM, specify what analytics APIs and data structures must look like to support agentic users - enabling AI agents to plan, execute, and recover from complex bioinformatics workflows autonomously.Define benchmarking requirements: specify the researcher queries, analytical functions, and performance metrics that engineering and the product design need to optimize for. Translate the user’s flows and needs into concrete requirements for system benchmarking.Lead customer and design partner programs: In partnership with the Head of Product, run structured discovery sessions with pharma and biotech partners. Translate customer insights directly into PDLC/SDLC artifacts and roadmap initiatives.Drive cross-functional execution: serve as the product manager for your engineering pod. Author high-quality Epics and User Stories with clear acceptance criteria and embedded product health metrics representative of user needs. Track and report initiative health proactively.Communicate to leadership: turn product, customer, and competitive insights into clear narratives for the Head of Product and senior leadership.QualificationsWhat Are Must-Haves (Qualifications)7+ years in product management, including meaningful time owning platform or infrastructure products with real users and measurable outcomes. Applied PM...