Lead product strategy and execution for foundational platform capabilities powering C3 AI products. Run discovery with customers and internal teams, define API/SDK requirements, prioritize investments using metrics, partner with engineering/architecture on trade-offs, drive releases and adoption, and ensure platform support for commercial and regulated deployment models.
C3 AI (NYSE: AI), is the Enterprise AI application software company. C3 AI delivers a family of fully integrated products including the C3 Agentic AI Platform, an end-to-end platform for developing, deploying, and operating enterprise AI applications, C3 AI applications, a portfolio of industry-specific SaaS enterprise AI applications that enable the digital transformation of organizations globally, and C3 Generative AI, a suite of domain-specific generative AI offerings for the enterprise. Learn more at: C3 AI
You will drive the vision and roadmap for core areas of the C3 Agentic AI Platform and define how developers and data scientists build, train, deploy, and operate AI and ML systems on the platform. You will collaborate across engineering teams to deliver an integrated and powerful path from experimentation to production.
Responsibilities:
- Own the product roadmap for AI platform areas — defining what we build, why, and in what order — to accelerate customer adoption of AI and ML in production.
- Deeply understand your users — developers, data scientists, and data engineers — and deliver tooling, SDKs, APIs, and workflows that make them dramatically more productive.
- Translate ambiguous platform and customer problems into structured, prioritized execution plans with clear milestones and success metrics, balancing long-term strategic goals with near-term business impact.
- Partner with engineering, data science, UX, and go-to-market teams to deliver exceptional solutions and drive adoption.
Qualifications:
- 5+ years of product management experience, with a strong track record of delivering developer- or data science-facing platforms.
- Strong technical foundation in one or more of the following: data management and data infrastructure (ingestion, modeling, pipelines, governance); data science and AI/ML workflows (model development, evaluation, deployment, monitoring); or developer tooling and application development environments.
- Track record of driving measurable adoption, revenue, or other commercial outcomes for a platform product, partnering with field and go-to-market teams.
- Strong data fluency — comfortable using metrics and querying data (e.g., SQL) to inform and validate product decisions.
- Proven ability to develop and clearly communicate product vision, strategy, and roadmap.
- Excellent communication and collaboration skills, with experience engaging stakeholders across engineering, data science, UX, and go-to-market functions.
- Bachelor of Science in a STEM field; MBA or Master of Science preferred.
Candidates must be authorized to work in the United States without the need for current or future company sponsorship.
C3 AI provides excellent benefits, a competitive compensation package and generous equity plan.
California Base Pay Range
$165,000—$228,000 USD
C3 AI is proud to be an Equal Opportunity and Affirmative Action Employer. We do not discriminate on the basis of any legally protected characteristics, including disabled and veteran status.
C3 AI Redwood, California, USA Office
Redwood, CA, United States
Similar Jobs
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Lead product development for an enterprise agentic AI platform and ServiceNow catalog interpreter from concept through launch. Define product specifications, technologies, developer interfaces, user experiences, success metrics, and roadmap priorities. Partner with engineering, machine learning, design, customer success, and deployment teams; analyze product usage data; support developer ecosystems and hackathons; and build relationships with enterprise CIOs and IT leaders.
Top Skills:
Agentic AiAPIsAuthenticationData ScienceLarge Language Models (Llms)Machine LearningPlatform IntegrationsServicenow
Aerospace
Own the vision, strategy, roadmap, and commercialization of an AI-native agentic platform. Lead customer discovery, define platform architecture and developer experiences, establish AI quality and safety metrics, and partner with engineering on delivery. Develop requirements for governance, security, observability, and human oversight in high-consequence environments. Drive product positioning, pricing, pilots, adoption measurement, and go-to-market strategy while communicating technical product decisions to executives, customers, and partners.
Top Skills:
Agentic AiAPIsAws Bedrock AgentcoreAzure Ai FoundryClaude Agent SdkDepartment Of Defense Impact LevelsFedrampGenerative AiGoogle AdkLanggraphLarge Language Models (Llms)Model Context Protocol (Mcp)Openai Agents SdkSdks
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Provides front-line patient access and practice support by verifying insurance eligibility, obtaining referrals and authorizations, documenting registration information, collecting balances, and maintaining admission and preregistration requirements. Trains staff on systems and processes, serves as a computer-system superuser, leads department improvement efforts, and supports special projects. Works 32 hours weekly across facilities in Walnut Creek, Pleasanton, and Brentwood with variable shifts.
Top Skills:
Electronic Health Records (Ehr)Electronic Insurance Verification SystemsMS Office
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
