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 more at: C3 AI

Were 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 youre 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 specing 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 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
• Evaluate and integrate tooling (MCP servers internal APIs third-party connectors) to extend what agents can do across the delivery workflow
• Own uptime reliability and iteration for any agent or application you build this isnt a one-time build its a maintained product
• Partner with engineering to determine what should be built in-house versus adopted from existing platform capabilities
• Prototype quickly (React Python low-code where appropriate) 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 theyre rolled out

Requirements

• 5 years in an operations business operations or technical program management role within a professional services consulting or forward-deployed engineering organization
• Bachelors degree in Business Finance or related field of study
• Demonstrated ability to write production-quality code (Python and/or JavaScript) this is not a manage the roadmap role its a build-and-run role
• Direct 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 analysis
• Experience owning a dashboard reporting tool or internal application from build through maintenance
• Strong SQL or data-manipulation skills for building and validating operational reporting
• 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

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.