Operations Manager, Forward Deployed Engineering

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 AIWe're looking for an Operations Manager to run the operational backbone of our professional services organization while also building and maintaining the technical infrastructure that makes delivery scalable. This is a hybrid role: half of the job is classic services ops (staffing, forecasting, utilization, delivery cadence), and the other half is hands-on technical work building and managing AI agents and the applications that support delivery teams.This is an internal-facing role — you're building the systems and tooling that make the delivery org run, not sitting embedded with customers. It suits someone who has run operations for a technical organization before, understands why services businesses live and die by staffing and margin discipline, and is also comfortable writing code, configuring agents, and standing up internal tools rather than just spec'ing them out for someone else to build.Responsibilities Run the operating cadence for the services org: staffing plans, forecasting, capacity planning, and actuals reconciliation against budgetOwn the resourcing process — matching engineers and consultants to engagements based on skill, availability, and account priorityTrack and report on delivery health across the portfolio: signature-to-first-value timelines, pilot-to-production conversion, margin by engagement, and overinvestment/overrun flagsBuild and maintain dashboards and reporting that give leadership real-time visibility into where engagements standManage the escalation process for at-risk engagements, coordinating between delivery teams, account leads, and executive sponsorsOwn vendor and subcontractor management where services work is augmented externallyDrive planning cycles (quarterly and annual) — operating plans, headcount models, and org-level capacity mathDesign, 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 maintenanceEvaluate and integrate tooling (MCP servers, internal APIs, third-party connectors) to extend what agents can do across the delivery workflowOwn uptime, reliability, and iteration for any agent or application you build — this isn't a one-time build, it's a maintained productPartner with engineering to determine what should be built in-house versus adopted from existing platform capabilitiesPrototype quickly (React, Python, low-code where appropriate) to validate ideas before committing engineering resourcesAct as the connective tissue between delivery leadership, engineering, and finance — translating operational needs into technical requirements and vice versaPartner with delivery leads to identify where manual, repeatable work can be automatedSupport org design and process changes (restructuring, role definition, delivery principle documentation) with data and toolingTrain delivery staff on new tools and agents as they're rolled outRequirements5+ years in an operations, business operations, or technical program management role within a professional services, consulting, or forward-deployed engineering organizationBachelor's degree in Business, Finance, or related field of studyDemonstrated ability to write production-quality code (Python and/or JavaScript) — this is not a "manage the roadmap" role, it's a build-and-run roleDirect experience building or configuring AI agents or LLM-based tools (prompt design, tool/function calling, agent orchestration frameworks, MCP or similar protocols)Fluency with core ops mechanics: staffing models, utilization tracking, forecasting, and margin analysisExperience owning a dashboard, reporting tool, or internal application from build through maintenanceStrong SQL or data-manipulation skills for building and validating operational reportingCross-functional communication skills — comfortable presenting to both engineers and executivesExperience in a forward-deployed engineering, solutions engineering, or implementation consulting environment is a plusFamiliarity with services-industry benchmarking (utilization targets, delivery velocity metrics, pilot-to-production conversion) is a plusExperience with enterprise SaaS platforms, low-code tooling, or workflow automation platforms is a plusBackground in change management or org design work is a plusCandidates 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$128,000—$159,000 USDC3 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.