below marketmost similar roles pay hereabove market
This role pays less than
52%
of similar roles. Most pay
$174,900–$227,887
— the blue band above.
At the midpoint, this role pays about
$192k
versus about
$201k
for comparable roles.
Based on 240 similar postings.
Employer
About Oracle
Oracle Corporation is a leading multinational technology company specializing in database software, cloud computing, and enterprise software.
Oracle currently has
917 open roles
on FindRole.
Listed pay typically runs
$102,300–$209,500
across 706 roles with salary data.
The Lead Principal Product Manager joins the Oracle Cloud Infrastructure team to develop scientific platform capabilities for genomics, pathogens research, and other computationally intensive workflows. As a senior individual contributor, you will own the product strategy, roadmap, and outcomes for scientific computing and genomics. You will work directly with scientists, research computing teams, and engineering to translate complex scientific workflows into reliable cloud capabilities. Key responsibilities include defining product vision, conducting customer discovery, and managing requirements through launch. You will utilize skills in cloud infrastructure, distributed systems, APIs, and data platforms to address challenges in reproducibility, provenance, and cost visibility. You will also integrate scientific applications with workflow engines and identify artificial intelligence capabilities to improve scientific evaluation needs and human oversight within these complex technical environments.
Define the product vision, strategy, roadmap, and investment recommendations for scientific computing and genomics.
Build relationships with scientists and research teams to understand their computational pipelines and data flows.
Translate customer discovery into clear requirements, user journeys, and prioritized capabilities.
Define the product experience for onboarding, configuring, executing, and troubleshooting scientific workflows.
Partner with engineering to manage technical tradeoffs between usability, performance, reliability, and cost.
Identify and define AI capabilities, scientific evaluation needs, and measures of correctness for research applications.
Develop market insights, business cases, and pricing recommendations for commercial expansion.
Establish metrics for adoption, execution reliability, and workflow efficiency to guide roadmap revisions.
What we're looking for
Bachelor’s degree in Computer Science, Engineering, Natural Sciences, Business, or a related discipline, or equivalent practical experience.
10+ years of relevant experience in product management, 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 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.
Experience defining business cases, prioritizing investment, and using qualitative research and quantitative evidence to make product decisions.
Experience in genomics, bioinformatics, computational biology, pathogens research, scientific computing, or life sciences software (preferred).
Familiarity with scientific workflow engines, containerized execution, and reproducible computational environments (preferred).
Oracle Cloud Infrastructure (OCI)
Cloud Computing
Artificial Intelligence
CPUs
GPUs
AI Accelerators
Processor Technology
Compute Systems
Product Strategy
Data Center Platforms
Workload Performance
Software Support
Oracle Cloud Infrastructure (OCI)
AI
Data Analytics
Cloud Infrastructure
Data Modeling
Data Engineering
Capacity Planning
Self-Service Reporting
Data Platforms