Senior Data Product Manager — Genomics & Analytics

Pacific Biosciences of California

Menlo Park (CA)

On-site

USD 129,000 - 193,000

Full time

14 days+

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Job summary

Pacific Biosciences is seeking a Senior Product Manager for Data Products to own the strategy and roadmap for life sciences data products. You will translate customer goals and workflows into validated product priorities, partnering across scientific, technical, operational, and commercial teams to deliver value.

You will define data access, use cases, pricing based on value, and collaborate with Business Development to identify data partners.

Qualifications

Bachelor's degree in life sciences, engineering, computer science, or related field.
Seven or more years of product management or related leadership experience.
Experience in genomics or another technically complex life sciences field.
Familiarity with cloud data platforms, analytics environments, data governance, privacy, and data-use controls.
Experience developing value propositions, pricing and packaging models, business cases, forecasts, or product economics.

Responsibilities

Product strategy and roadmap: Define vision, target customers, positioning, and roadmap based on customer needs, market conditions, technical capabilities, data availability, and business objectives.
Customer discovery: Lead customer conversations, discovery, demonstrations, pilots, and feedback sessions. Understand scientific goals, technical requirements, buying criteria, data-use needs, and alternatives.
Product definition: Translate needs into requirements, target product profiles, launch criteria, and success metrics. Define experiences for discovering, accessing, analyzing, and using scientific data.
Cross-functional product development: Partner with sequencing, laboratory operations, bioinformatics, data, cloud, and software teams to ensure products are scientifically sound, technically feasible, scalable, and operationally deliverable.
Data use and commercial access model: Define supported use cases, permitted analyses, derivative-use rights, export and sharing capabilities, retention, and restrictions. Partner with legal, privacy, security, scientific, and commercial teams to define practical requirements for access, permissions, data separation, monitoring, and compliance.
Business development and partnerships: Partner with Business Development to evaluate data partners and shape value propositions. Lead product requirements, technical alignment, delivery milestones, and acceptance criteria for product-related partnerships.
Pricing and value attribution: Define customer value and recommend pricing and packaging models, including value attribution to PacBio and data partners.
Execution and commercialization: Guide products from concept through launch and improvement. Define milestones, dependencies, risks, launch criteria, and success metrics.
Support business cases, forecasts, agreements, proposals, and sales enablement.
Executive communication: Clearly communicate priorities, decisions, progress, risks, and commercial implications.