Lead Principal Product Manager

Oracle•San Francisco, CA

About The Position

Oracle Cloud Infrastructure (OCI) is developing scientific platform capabilities for genomics, pathogen research, and other computationally intensive scientific workflows. These capabilities help scientists execute workflows and connect scientific data, applications, and results. The Senior Principal Product Manager defines product direction and delivers capabilities that address strategic customer needs while establishing a foundation for broader adoption. This is a senior individual-contributor role with ownership of product strategy, customer discovery, roadmap, and product outcomes for scientific computing and genomics capabilities. The role works directly with scientists, research computing teams, engineering, and applied science to translate complex scientific workflows into reliable, usable cloud capabilities. It operates independently across teams and guides product decisions from initial requirements through launch, adoption, and commercial validation. The product manager defines the product experience for scientific computational workflows, partners on integrations and AI capabilities, develops market and commercial insight, measures product outcomes, and represents product direction to executives, customers, and partners.

Requirements

Bachelor’s degree in Computer Science, Engineering, Natural Sciences, Business, or a related discipline, or equivalent practical experience.
10+ years of relevant product management experience, including substantial ownership of highly technical enterprise software, cloud, data, or platform products.
Demonstrated ability to independently lead product strategy and delivery across multiple teams, from ambiguous customer needs through launch and measurable adoption.
Experience working directly with technically sophisticated users and customers on scientific computing, data-intensive workflows, AI platforms, or comparable complex technical environments.
Strong understanding of cloud infrastructure, distributed systems, APIs, data platforms, identity, and enterprise integration.
Ability to evaluate scientific workflow and operational tradeoffs with engineers and architects.
Experience defining business cases, prioritizing investment, and using qualitative research and quantitative evidence to make product decisions.
Excellent writing, executive communication, and influence across organizations.

Nice To Haves

Experience in genomics, bioinformatics, computational biology, pathogen research, scientific computing, or life sciences software, including direct engagement with researchers.
Familiarity with established scientific workflow engines, containerized execution, scientific interfaces, and reproducible computational environments.
Experience integrating research data, scientific applications, laboratory informatics, simulation tools, or computational workflows with cloud services.
Experience with AI-enabled scientific applications, model evaluation, agents, and production cloud products, including commercialization and customer adoption.

Responsibilities

Define product vision, strategy, roadmap, and investment recommendations for scientific computing and genomics within the broader product direction.
Prioritize customer outcomes and identify capabilities that can be reused across scientific programs and customers.
Build trusted relationships with scientists, bioinformaticians, research computing teams, and customer decision makers; understand their objectives, pipelines, data flows, tools, and operational constraints.
Translate customer discovery into clear requirements, user journeys, prioritized capabilities, release objectives, and acceptance criteria.
Own product decisions throughout discovery, development, pilot deployment, launch, and continuous improvement.
Define the product experience for onboarding, configuring, executing, monitoring, and troubleshooting scientific computational workflows, including identity, access, execution status, results, reproducibility, provenance, and cost visibility.
Partner with engineering and architecture on integration with workflow engines, scientific applications, data systems, and cloud infrastructure.
Make explicit tradeoffs across usability, performance, reliability, security, interoperability, cost, and delivery time.
Coordinate with the product owner for laboratory automation and robotics on workflows spanning computational and physical experimentation; define shared requirements for execution context, evidence, and continuity without duplicating other systems' capabilities.
Work with applied science and engineering to identify valuable AI capabilities, scientific evaluation needs, and agent interactions; define measures of correctness, reproducibility, user benefit, and appropriate human oversight.
Develop market and competitive insight, positioning, business cases, and adoption hypotheses.
Partner with commercial teams on packaging, pricing recommendations, customer enablement, and the economics of expansion beyond initial engagements.
Establish and use measures for adoption, time to first successful workflow, onboarding effort, execution reliability, reproducibility, computational cost, and scientific workflow efficiency; revise roadmap and investment recommendations using evidence.
Represent product direction to executives, customers, and partners.
Resolve complex product issues across teams, mentor product colleagues, and establish effective discovery and decision practices through influence and technical credibility.

Benefits

Medical, dental, and vision insurance, including expert medical opinion.
Short-term and long-term disability insurance.
Life insurance and AD&D.
Supplemental life insurance for employees, spouses, and children.
Health care and dependent care Flexible Spending Accounts.
Pre-tax commuter and parking benefits.
401(k) Savings and Investment Plan with company match.
Paid time off, with flexible vacation for eligible salaried non-overtime-eligible employees or accrued vacation for other eligible employees.
11 paid holidays.
72 hours of paid sick leave upon hire, refreshed each calendar year, with unused balances carrying over up to a 112-hour cap.
Paid parental leave.
Adoption assistance.
Employee Stock Purchase Plan.
Financial planning and group legal benefits.
Voluntary benefits including auto, homeowner, and pet insurance.
May be eligible for bonus, equity, and compensation deferral.