Operations Manager, Forward Deployed Engineering
AI summary of the role
This hybrid role runs the operational backbone of C3 AI's professional services organization—staffing, forecasting, utilization, and delivery health—while also hands-on building and maintaining AI agents and internal applications that automate delivery workflows.
What you’ll do
- 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
- Design, build, and maintain AI agents that automate internal delivery workflows (e.g., status reporting, staffing recommendations, account health scoring, proposal generation)
- Build and maintain dashboards and reporting that give leadership real-time visibility into where engagements stand
What you’ll bring
- 5+ years in operations, business operations, or technical program management within professional services, consulting, or forward-deployed engineering
- Demonstrated ability to write production-quality code (Python and/or JavaScript)
- 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
Technologies
Python · JavaScript · React · SQL · AI agents · LLM · MCP · agent orchestration frameworks · low-code · workflow automation
Source and classification
Internal deployment & tooling · Evidence for this classification:
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 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:
More from the job description
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 We'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 o [... source excerpt omitted ...] nsultants 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 cap [... source excerpt omitted ...] lows (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 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 (React, Python, low-code where appropr
Employer postings · Data from · Sources