Operations Lead: AI Delivery & Internal Tools

C3.ai, Inc.; Redwood City (CA); Hybrid; USD 128,000 - 159,000; Full time

Job summary

C3 AI is seeking an Operations Manager to run the operational backbone of our professional services while building the tooling that scales delivery. The role blends services ops (staffing, forecasting, utilization, cadence) with hands‑on technical work to build AI agents and internal applications.

This internal‑facing position emphasizes systems, data, and process discipline, with partnerships across delivery leadership, engineering, and finance to automate work and improve margins.

Qualifications

• 5+ years in an operations, business ops, 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
• 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
• 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

Responsibilities

• Run staffing, 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 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 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 they're rolled out

Skills

Operations experience

SQL proficiency

Cross-functional communication

Problem solving

Education

Bachelor's degree in Business, Finance, or related field

Tools

Python

JavaScript

SQL

MCP

Job description

C3 AI is seeking an Operations Manager to run the operational backbone of our professional services while building the tooling that scales delivery. The role blends services ops (staffing, forecasting, utilization, cadence) with hands‑on technical work to build AI agents and internal applications.

This internal‑facing position emphasizes systems, data, and process discipline, with partnerships across delivery leadership, engineering, and finance to automate work and improve margins.