Full Job Description
Oracle Cloud Infrastructure (OCI) is developing scientific platform capabilities that connect computational workflows, scientific data, artificial intelligence (AI), and laboratory automation. We are seeking a Senior Director of Product Management to lead product strategy and commercial development across these capabilities, beginning with strategic scientific customers and establishing a path to repeatable adoption across additional customers and markets.
You will lead the overall product portfolio, owning the integrated vision, strategy, roadmap, pricing, packaging, and go to market strategy. You will work directly with scientists, research leaders, engineering, and commercial teams to identify valuable customer problems, define differentiated products, and build a credible business and investment plan.
This role combines product leadership across the portfolio with direct product management responsibility for laboratory automation and robotics. Initially, you will personally lead discovery, product definition, prioritization, and pilot evaluation in that area while developing the product management team. You will establish clear ownership for scientific computing and other product areas, align their roadmaps, and evolve assignments as the portfolio grows.
Responsibilities
Key Responsibilities
Define and lead the integrated product vision, strategy, and roadmap across scientific computing, data, AI, and laboratory automation. Establish product boundaries, resolve competing priorities, and recommend investments aligned with customer value and business opportunity.
3Develop the market and commercial strategy. Identify target segments, buyers, procurement needs, competitive alternatives, and differentiation. Validate demand, willingness to pay, and opportunities beyond initial customer engagements.
3Own pricing and packaging strategy and product business cases. Partner with Finance, Sales, and engineering leaders to assess customer value, delivery costs, revenue potential, margins, and investment needs. Recommend commercial models that support sustainable growth.
3Lead go to market planning with Sales, Marketing, partner teams, and customer success. Define positioning, value propositions, launch readiness, sales enablement, adoption plans, and routes to market.
3Build trusted relationships with scientific users, research leaders, technology executives, and business sponsors. Understand scientific workflows and operational constraints, and translate them into product priorities and measurable customer outcomes.
3Personally own product management for laboratory automation and robotics from discovery through pilots, launch, adoption, and continuous improvement. Define requirements, priorities, acceptance criteria, and success measures with scientists, laboratory operators, engineers, and equipment partners.
3Define laboratory automation requirements spanning instruments, robotics, materials, scientific applications, and human activities. Address equipment state, access, approvals, traceability, exception handling, and recovery while preserving local equipment control and safety authority.
3Shape reusable integration and onboarding capabilities for scientific applications, laboratory instruments, vendor software, and laboratory information systems. Distinguish shared product capabilities from customer configuration and custom integration work, and improve deployment economics.
3Partner with Engineering, Architecture, and scientific leadership on product scope and sequencing. Make informed tradeoffs across scientific value, usability, technical feasibility, reliability, security, safety, cost, and delivery time.
3Lead, develop, and scale the product management team. Establish clear accountability across product areas, coach product managers, and strengthen technical and commercial judgment while maintaining direct engagement in consequential customer and product decisions.
3Establish effective practices for customer discovery, roadmap decisions, investment reviews, launches, and performance measurement. Apply AI and automation to improve product work and reduce manual coordination.
3Define pilot success measures and assess scientific, operational, and commercial outcomes to recommend staged investment. Track adoption, customer value, onboarding effort, revenue, and product economics, and use the evidence to refine strategy.
3Represent the portfolio with senior Oracle leaders, customers, and partners. Communicate recommendations and risks clearly, align stakeholders across organizational boundaries, and secure decisions on material investments and commitments.
Minimum Qualifications
3Bachelor's degree in Computer Science, Engineering, Life Sciences, Business, or a related discipline, or equivalent practical experience.
312+ years of experience in product management, product strategy, or product leadership for complex technology products, including senior leadership responsibilities.
3Experience owning the development and delivery of robotics or laboratory automation products within a product or engineering organization, from product definition through engineering delivery and customer deployment.
3Experience leading and developing product managers or cross functional product teams and setting product strategy, roadmaps, and priorities.
3Demonstrated success translating customer needs into launched products and measurable adoption, with commercial judgment in areas such as pricing, packaging, business cases, and go to market strategy.
3Ability to work directly with customers, make informed technical and commercial tradeoffs with engineering teams, and communicate product decisions clearly. Strong analytical judgment, executive communication, and influence across organizations.
Preferred Qualifications
3Master of Business Administration (MBA) preferred.
3Experience with scientific computing, genomics, bioinformatics, pathogens research, research data platforms, or life sciences software.
3Experience with laboratory instruments, liquid handlers, robotic systems, laboratory informatics, or automation vendors.
3Experience evaluating early customer pilots and using their results to recommend staged investment, repeatable deployment, and broader commercial adoption, including work with software or equipment partners.
3Familiarity with AI enabled scientific workflows, agentic systems, scientific evaluation, reproducibility, and governed automation.
Qualifications
Disclaimer:
