The AI Product Owner Leader will define the vision and roadmap for AI products, prioritize use cases, and coordinate with business and IT teams to deliver impactful AI solutions in global operations.
We are seeking an AI Product Owner Leader to own the strategy, development, and lifecycle of AI-driven products within global operations. This role bridges business, operations, and IT teams to deliver AI solutions.
The AI Product Owner Leader defines the vision and roadmap for AI products, prioritizes use cases based on business impact, and ensures AI models are built, deployed, and scaled effectively in production environments.
Responsibilities
- Define and own the vision, roadmap, and success metrics for AI products supporting global operations
- Identify and prioritize high-impact AI use cases such as yield optimization, defect detection, predictive maintenance, and demand forecasting.
- Translate business objectives into clear product requirements, user stories, and acceptance criteria for AI solutions.
- Serve as the primary liaison between business stakeholders, process engineers, statisticians, and IT teams.
- Oversee the development, training, deployment, and monitoring of AI/ML models in collaboration with technical teams.
- Monitor model performance and business outcomes, driving continuous improvement.
- Define KPIs to measure business impact (e.g., yield improvement, tool uptime, scrap reduction, cycle time).
- Communicate progress, outcomes, and risks to executive leadership.
- Ensure AI products comply with data governance, IP protection, security standards, and regulatory requirements.
- Manage a team of global operations AI product owners
- Master’s or PhD degree in Engineering, Computer Science, Data Science, Business, or a related field.
- 10+ years of experience in product management, product ownership, or digital transformation roles with 5+ years in a leadership role
- Proven experience delivering AI/ML or advanced analytics solutions in manufacturing or industrial environments.
- Strong understanding of semiconductor manufacturing processes and data ecosystems.
- Excellent communication skills with the ability to translate technical concepts into business value.
onsemi (Nasdaq: ON) is driving disruptive innovations to help build a better future. With a focus on automotive and industrial end-markets, the company is accelerating change in megatrends such as vehicle electrification and safety, sustainable energy grids, industrial automation, and 5G and cloud infrastructure. With a highly differentiated and innovative product portfolio, onsemi creates intelligent power and sensing technologies that solve the world’s most complex challenges and leads the way in creating a safer, cleaner, and smarter world.
More details about our company benefits can be found here:
https://www.onsemi.com/careers/career-benefits
onsemi is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, ancestry, national origin, age, marital status, pregnancy, sex, sexual orientation, physical or mental disability, medical condition, genetic information, military or veteran status, gender identity, gender expression, or any other protected category under applicable federal, state, or local laws.
If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process, or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact [email protected] for assistance.
onsemi San Jose, California, USA Office
San Jose, United States, 0
onsemi Santa Clara, California, USA Office
Santa Clara, United States, 0
onsemi Sunnyvale, California, USA Office
Sunnyvale, United States
Similar Jobs
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Lead strategy engagements for utilities clients: analyze market and performance, develop strategic recommendations, manage project delivery and budgets, mentor staff, conduct competitive and process analyses, and drive technology-enabled transformation to improve operations and growth.
Cloud • Information Technology • Machine Learning
Lead architecture and delivery of multi-tenant file and block storage for AI workloads. Own data path and control plane, optimize IO patterns for GPUs, ship storage as Kubernetes-native (CSI, controllers, CRDs), integrate high-performance tech (RDMA, GPU Direct, SPDK), ensure reliability/durability/observability at exabyte scale, run design reviews and mentor senior engineers.
Top Skills:
C++CephControllersCrdsCsiCsi DriversDistributed FilesystemsGoGpu Direct StorageInfinibandKubernetesLustreNfsOperatorsRdmaRoceRustS3Spdk
Cloud • Information Technology • Machine Learning
Build and improve multi-tenant file and block storage services, including Go-based control plane features, NFS data path performance, CSI integration for Kubernetes, telemetry and observability, and debugging production distributed systems. Work cross-functionally to deliver reliable, durable storage for large AI workloads.
Top Skills:
C++ClickhouseCockroachdbCsiGoGrafanaKubernetesNfsPosixPrometheusRocksdbRust
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
