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.
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.
Skills Required
- 7+ years of product management, technical product management, technical program management, or equivalent experience
- 4+ years owning technical platform, infrastructure, or developer-facing software products
- Track record shipping platform capabilities used by multiple product teams or enterprise customers (APIs, SDKs, data/AI infrastructure, observability, security, deployment, 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 read and work with architecture diagrams, technical specifications, API contracts, and metrics (not expected to code full time)
- Quantitative mindset and familiarity with product analytics, SQL, dashboards, and data-informed prioritization
- Excellent written and verbal communication
- Bachelor's degree in Computer Science, Engineering, Mathematics, Physics, or related STEM field (or equivalent practical experience)
- Authorized to work in the United States without need for company sponsorship
- Excellent product judgment and ability to prioritize reusable platform investments over one-offs
- Experience defining product requirements, technical specifications, acceptance criteria, API contracts, and launch plans
- Experience partnering with Engineering, Architecture, Cloud Ops/SRE, and customer-facing teams to drive platform adoption
- Experience measuring and tracking platform KPIs (API/SDK adoption, latency, uptime, cost-to-serve, support volume)
- Track record or familiarity with distributed systems, deployment models, security and governance for regulated customers
- Experience with enterprise AI, machine learning, LLMs, model serving, vector search, RAG, feature stores, or ML Ops
- Experience with cloud platforms, Kubernetes, infrastructure as code, CI/CD or GitOps, observability systems, and large-scale data technologies such as Apache Spark
- Familiarity with data governance, lineage, policy enforcement, tenant isolation, key management, privacy, data residency, FedRAMP, NIST, or CMMC
- Prior experience in engineering, solutions architecture, forward deployed engineering, data science, technical consulting, or enterprise implementation leadership
- Experience launching platform products from 0-to-1 and scaling adoption
- Experience at enterprise data and AI platform companies (e.g., Palantir, Snowflake, Databricks)
- Advanced degree in a technical field or MBA
C3 AI Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about C3 AI and has not been reviewed or approved by C3 AI.
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Fair & Transparent Compensation — Pay is considered competitive to above average for many roles, and compensation stands out more positively than several other aspects of the company. High-end packages are available in certain roles and levels, indicating the ability to pay at or above market when needed.
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Career-Linked Recognition & Rewards — The company funds an online master’s program that confers a $25,000 completion bonus, a guaranteed 15% raise, and a stock grant. Ongoing internal training and small course-completion bonuses further tie rewards to development milestones.
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Wellbeing & Lifestyle Benefits — Daily catered lunches, stocked snacks, a free gym membership at the Redwood City HQ, and commuter benefits provide tangible day-to-day perks. Business-travel health coverage and other on-site amenities enhance the workplace experience for those regularly in office.
C3 AI Insights
What We Do
C3 AI is the leading Enterprise AI software provider for accelerating digital transformation. Digital transformation is about leveraging big data and the internet of things to improve performance of assets and predict shortfalls before they happen — all through artificial intelligence and machine learning. Get ahead of supply chain delays before they affect your delivery deadlines. Predict maintenance needs to increase asset uptime, replacing or repairing parts before failure. Reduce energy costs and track sustainability goals in real time, improving building operations and reducing greenhouse gas emissions. Connect disparate health record systems to optimize patient visits and decrease waitlist time. At the core of all C3 AI products is a proprietary, model-driven AI architecture that dramatically enhances data science and application development. The C3 AI Platform allows customers to develop, deploy, and operate large-scale AI, predictive analytics, and IoT applications. And a broad portfolio of turnkey AI applications allows for even faster development and deployment. From reliability and readiness to supply chain optimization and energy management, C3 AI has deep industry expertise to get your enterprise started on its digital transformation.
