C3 AI Logo

C3 AI

Product Manager - C3 Generative AI

Posted One Month Ago
In-Office
Redwood City, CA, USA
132K-194K Annually
Mid level
In-Office
Redwood City, CA, USA
132K-194K Annually
Mid level
Drives feature-level strategy, requirements, roadmap planning, execution, and deployment for C3 Generative AI products. Collaborates with engineering, data science, marketing, sales, and customers to translate technical and market needs into product specifications and software capabilities. Conducts customer scoping sessions, demos, and analyst presentations, while supporting marketing collateral and feature releases.
The summary above was generated by AI

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 Product Manager to support the development and growth of our C3 Generative AI platform. In this role, you will drive feature-level product strategy, execution, and delivery, focusing on the technical aspects of building and scaling AI solutions. You will work closely with engineering, data science, product marketing, and customer-facing teams to translate market needs into functional software capabilities and deliver high-impact AI products.

About C3 Generative AI:
C3 Generative AI is an enterprise application powered by patented agent orchestration technology that automates complex queries and workflows via natural language. Specialized AI agents analyze omni-modal enterprise data to deliver accurate, domain-specific insights with built-in source validation.

Responsibilities:

  • Product Execution: Drive end-to-end feature development and product deployment, actively problem-solving alongside engineering and data science teams.
  • Requirements & Specifications: Author comprehensive product specifications across multiple features, iterating with the Product Council and cross-functional teams to secure approval.
  • Roadmap & Feature Planning: Identify new feature opportunities for your product area, contributing to long-term product vision and translating high-level plans into structured development phases.
  • Customer Engagement: Engage with prospective and existing customers (Working Team through Mid Management levels) to demonstrate software capabilities, discuss roadmaps, and facilitate technical scoping discussions.
  • Requirements Gathering: Facilitate technical customer discussions for your product area, contribute to Functional Requirements Documents (FRDs), and translate customer needs into clear product specs.
  • Product Marketing & Collateral: Create product marketing collateral from directed input and develop target persona lists, keyword strategies, and demo content to support marketing campaigns.
  • Analyst Relations: Support targeted product demos for industry analysts under the guidance of General Managers and Product VPs.
  • Cross-Functional Collaboration: Build constructive, cross-organizational relationships across engineering, data science, marketing, and sales to ensure successful feature releases

Qualifications:

  • Education: Bachelor’s degree in Computer Science, Engineering, or a related technical field; advanced degree preferred.
  • Experience: 2–4+ years of product management experience in enterprise software, AI, or a related technical domain.
  • Domain Knowledge: Strong understanding of at least one core AI/ML or enterprise application area, with a foundational understanding of broader platform capabilities (e.g., Generative AI, data pipelines, model operationalization).
  • Technical & Analytical Skills: Proven ability to structure technical problems, translate user needs into detailed feature requirements, and collaborate directly with engineering teams.
  • Communication: Clear written and verbal communication skills, with the ability to articulate technical concepts concisely in documentation and presentations.
  • Customer-Facing Ability: Comfort presenting software capabilities, conducting product demos, and participating in customer scoping sessions.
  • Execution Focus: Strong organizational skills with the ability to manage competing feature priorities and deliver quality work in a fast-paced environment.

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
$132,000—$194,000 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. 

HQ

C3 AI Redwood, California, USA Office

Redwood, CA, United States

Similar Jobs

2 Months Ago
In-Office
Redwood City, CA, USA
165K-228K Annually
Senior level
165K-228K Annually
Senior level
Artificial Intelligence • Big Data • Machine Learning • Software
Lead product strategy and execution for C3 Generative AI. Define technical requirements, collaborate with engineering and data science, drive roadmaps, manage go-to-market, monitor product metrics, and iterate based on customer feedback to deliver scalable enterprise AI solutions.
Top Skills: C3 Agentic Ai PlatformC3 Generative AiData PipelinesGenerative AiModel Operationalization
An Hour Ago
In-Office or Remote
94104, San Francisco, CA, USA
174K-274K Annually
Expert/Leader
174K-274K Annually
Expert/Leader
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Principal Software Engineer leading frontend and full-stack architecture for Atlassian’s Growth Platform. The role defines technical strategy for messaging, personalization, notifications, and experimentation systems; designs scalable microservices, APIs, data models, and React/TypeScript components; drives performance, reliability, security, accessibility, observability, and CI/CD standards; and influences multiple teams through architecture reviews, cross-functional partnership, and mentorship.
Top Skills: APIsAutomated TestingCi/CdClient SdksClient-Side State ManagementCore Web VitalsCSSData ModelingDistributed SystemsDistributed TracingHTML5Javascript Es6+MicroservicesObservabilityReactTelemetryTypescript
An Hour Ago
In-Office or Remote
94104, San Francisco, CA, USA
149K-235K Annually
Senior level
149K-235K Annually
Senior level
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Lead enterprise customer engagements to adopt and operationalize Atlassian’s Rovo AI platform. Facilitate discovery, design and configure AI agents and connectors, guide deployments from sandbox to production, and drive measurable adoption outcomes. Own engagement playbooks, enable internal teams, provide product feedback, and collaborate with sales, customer success, product, and engineering teams. The role involves supporting complex enterprise use cases, mentoring without direct authority, and up to 15% domestic and international travel.
Top Skills: Agentic WorkflowsAi AgentsAtlassianConfluenceGitGoogle DriveJIRALlm-Powered ArchitecturesPrompt EngineeringRovoRovo StudioSharepointSlack

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

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account