Jobs and Careers
C3

Senior Product Manager, Agentic AI Platform

C3.ai
Redwood City, United Statesfull_timeVerifiedPosted 23 Jun 2026
💰 $228,000/yr($165,000/yr$228,000/yr)

About the role

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

C3 AI is seeking a Senior Product Manager, Agentic AI Platform to define and drive the strategy, roadmap, and execution for the foundational platform capabilities that power every C3 AI product and customer-built solution.

This is a highly technical, high-leverage role at the center of the C3 AI architecture, spanning data and metadata services, model-driven application development, APIs and SDKs, AI and agent runtime, security and governance, observability, and developer experience. You will turn complex needs from application teams, customers, forward deployed engineers, and platform engineering into reusable platform primitives that make every product faster to build, easier to operate, safer to govern, and more reliable at enterprise scale.

Success requires technical depth, structured product thinking, and strong cross-functional leadership. You will partner with Engineering, Architecture, User Experience, Forward Deployed Engineering, Customer Success, Sales, Marketing, and Cloud Operations/SRE to prioritize the highest-leverage platform investments and bring them from concept to production.

Responsibilities

  • Own the product vision, roadmap, backlog, and release plans for Agentic AI platform capabilities used across C3 AI products and customer implementations.
  • Conduct discovery with enterprise customers, application product managers, forward deployed teams, solution architects, engineering leaders, and Cloud Operations/SRE to identify repeated needs and platform gaps.
  • Translate ambiguous platform problems into crisp product requirements, technical specifications, acceptance criteria, API contracts, and launch plans.
  • Prioritize platform investments using evidence: adoption metrics, implementation bottlenecks, support escalations, reliability and performance data, strategic customer demand, and long-term architectural leverage.
  • Partner deeply with Engineering and Architecture to make trade-offs across distributed systems, data architecture, AI runtime, security and governance, deployment models, and operational readiness.
  • Define and monitor platform KPIs, including API and SDK adoption, time-to-first-value, developer productivity, deployment success, latency and throughput, cost-to-serve, uptime, and support volume.
  • Drive execution from concept through general availability, including beta and preview programs, field enablement, documentation, launch readiness, and post-launch adoption tracking.
  • Build durable feedback loops across Product, Engineering, Forward Deployed Engineering, Customer Success, Sales, Marketing, and Cloud Operations/SRE so roadmap decisions reflect real usage and customer outcomes.
  • Ensure platform decisions support commercial, federal, and regulated customers, including customer-managed environments, multi-cloud and hybrid deployments, data residency, and tenant isolation.

Qualifications

  • 7+ years of product management, technical product management, technical program management, or equivalent experience, including 4+ years owning technical platform, infrastructure, or developer-facing software products.
  • Track record shipping platform capabilities used by multiple product teams or enterprise customers, such as APIs, SDKs, data or AI infrastructure, developer platforms, observability, security, deployment, or distributed systems.
  • Strong technical fluency with enterprise SaaS/cloud platforms, APIs and service-oriented architecture, data and distributed systems, identity and access management, security and governance, AI/ML lifecycle, observability, and reliability.
  • Ability to work with architecture diagrams, technical specifications, API contracts, and metrics deeply enough to earn Engineering's trust. This role is not expected to code full time.
  • Excellent product judgment: able to distinguish one-off requests from reusable platform investments, define minimum viable platform capabilities, and make tough trade-offs.
  • Quantitative mindset and familiarity with product analytics, SQL, dashboards, and data-informed prioritization.
  • Outstanding written and verbal communication; able to explain deeply technical concepts clearly to executives, enginee

Apply for this role

Generate a tailored application kit with a matched cover letter, interview prep, and CV highlights — in under 60 seconds.

Apply Now →Generate Application Kit

Free account required — sign up in 30s

Company

C3.ai

View company profile →