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Operations Manager

C3 AI

Responsibilities

  • Run the operating cadence for the services org: staffing plans, forecasting, capacity planning, and actuals reconciliation against budget
  • Own the resourcing process — matching engineers and consultants to engagements based on skill, availability, and account priority
  • Track and report on delivery health across the portfolio: signature-to-first-value timelines, pilot-to-production conversion, margin by engagement, and overinvestment/overrun flags
  • Build and maintain dashboards and reporting that give leadership real-time visibility into where engagements stand
  • Manage the escalation process for at-risk engagements, coordinating between delivery teams, account leads, and executive sponsors
  • Own vendor and subcontractor management where services work is augmented externally
  • Drive planning cycles (quarterly and annual) — operating plans, headcount models, and org-level capacity math
  • Design, build, and maintain AI agents that automate internal delivery workflows (e.g., status reporting, staffing recommendations, account health scoring, proposal generation)
  • Manage the lifecycle of internal applications used by the delivery org — from requirements through deployment and ongoing maintenance
  • Own uptime, reliability, and iteration for any agent or application you build — this isn't a one-time build, it's a maintained product
  • Partner with engineering to determine what should be built in-house versus adopted from existing platform capabilities
  • Prototype quickly to validate ideas before committing engineering resources
  • Act as the connective tissue between delivery leadership, engineering, and finance — translating operational needs into technical requirements and vice versa
  • Partner with delivery leads to identify where manual, repeatable work can be automated
  • Support org design and process changes (restructuring, role definition, delivery principle documentation) with data and tooling
  • Train delivery staff on new tools and agents as they're rolled out

Preferred

  • Direct experience building or configuring AI agents or LLM-based tools (prompt design, tool/function calling, agent orchestration frameworks, MCP or similar protocols)
  • Data-manipulation skills for building and validating operational reporting
  • Evaluate and integrate tooling (MCP servers, internal APIs, third-party connectors) to extend what agents can do across the delivery workflow
  • 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.

Qualifications

  • 5+ years in an operations, business operations, or technical program management role within a professional services, consulting, or forward-deployed engineering organization
  • Bachelor's degree in Business, Finance, or related field of study
  • Fluency with core ops mechanics: staffing models, utilization tracking, forecasting, and margin analysis
  • Experience owning a dashboard, reporting tool, or internal application from build through maintenance
  • Cross-functional communication skills — comfortable presenting to both engineers and executives
  • Experience in a forward-deployed engineering, solutions engineering, or implementation consulting environment is a plus
  • Familiarity with services-industry benchmarking (utilization targets, delivery velocity metrics, pilot-to-production conversion) is a plus
  • Experience with enterprise SaaS platforms, low-code tooling, or workflow automation platforms is a plus
  • Background in change management or org design work is a plus

California Base Pay Range

  • $128,000
  • $159,000 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.