C3 AI

Enterprise AI

ForwardDeployedTeamLead

$175–250k ~AI est. Atlanta, Georgia, United States
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Lead candidates.

The Brief

“Forward Deployed Team Lead at C3 AI. Skills: Technical architecture, Hands-on coding, Product ownership, Project management, Stakeholder communication. Own data flow. Own integration topology”

What You'll Achieve.

Drive deployment to measurable business value

Industry & Context.

Enterprise AI
Problems you'll solve

Troubleshooting; Root cause analysis

Eligibility Requirements

Authorized to work in United States, No sponsorship required

What They're Looking For.

Must Have

BS/MS in Computer Science, Software Engineering, Engineering, or equivalent practical experience, 6+ years shipping production software, 2+ years as tech lead or senior individual contributor, Proficiency in Python, TypeScript/JavaScript, Java, Go, or C++, Demonstrated ownership of systems taken from zero to production, Deep expertise in at least one vertical, Experience working directly with business and technical stakeholders, Familiarity with enterprise data environments, Comfort with modern deployment practices

Nice to Have

Prior experience as a tech lead or staff engineer at a SaaS or enterprise software vendor, Experience with AI/ML platform deployments or data-heavy enterprise applications at scale, Familiarity with major cloud environments: AWS, Azure, or GCP, Experience in regulated industries, Proven ability to turn a messy, ambiguous customer problem into a clean, repeatable deployment pattern

What You'll Do.

Own integration topology

Own deployment architecture

Write production code

Develop backend services

Develop data pipelines

Own deployment roadmap

Execute statement of work

Decide what's in scope

Decide what's a one-off

Decide what becomes product

Flag when something slips

Run customer working sessions

Brief executive sponsors

Deploy from dev to production

Integrate with customer data warehouses

Integrate with ERP systems

Integrate with CRM systems

Integrate with cloud environments

Configure platform for enterprise readiness

Secure platform for enterprise readiness

Monitor platform for enterprise readiness

Meet enterprise security requirements

Meet compliance requirements

Push field learnings into core platform

Partner with Sales for account growth

Identify expansion opportunities

Surface new use cases

Support renewal conversations

Ensure successful deployments convert to relationships

How You'll Work.

Team & Collaboration

Business stakeholders; Technical stakeholders; Executive sponsors; Sales team

Communication Scope

Stakeholder communication; Executive briefings; Status updates

Process & Methodology

Roadmap planning, Milestone tracking, Risk management, Dependency management

Full 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 Forward Deployed Team Leads are senior technical leads who own a commercial or enterprise customer end-to-end. You’ll combine strong technical architecture, hands-on coding, product ownership, project management, and stakeholder communication—embedding directly with customers to take our product from “design” to “in production.” You’ll own one account at a time: scope the workflow with business and technical stakeholders, design the architecture, write the code that closes the gaps, and drive the deployment through to measurable business value. Responsibilities: Technical architecture. Own data flow, integration topology, identity model, and deployment architecture across the customer’s infrastructure. Hands-on coding. Write production code yourself—backend services, data pipelines, APIs, integrations. Product ownership. Own the deployment’s roadmap. Execute on the statement of work. Decide what’s in scope, what’s a one-off, and what should become product. Project management. Own the plan, milestones, risks, and dependencies. When something slips, know first and flag first. Stakeholder communication. Run customer working sessions, brief executive sponsors, and write clean status updates that senior stakeholders will actually read. Ship into production. Deploy from dev through UAT into production—including integration with customer data warehouses, ERP/CRM systems, and cloud environments (AWS, Azure, GCP). Enterprise readiness. Ensure the platform is configure

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