Forward Deployed Team Leads are senior technical leads who own a commercial or enterprise customer end-to-end. Youll combine strong technical architecture hands-on coding product ownership project management and stakeholder communicationembedding directly with customers to take our product from design to in production.

Youll 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 customers infrastructure.
• Hands-on coding. Write production code yourselfbackend services data pipelines APIs integrations.
• Product ownership. Own the deployments roadmap. Execute on the statement of work. Decide whats in scope whats 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 productionincluding integration with customer data warehouses ERP/CRM systems and cloud environments (AWS Azure GCP).
• Enterprise readiness. Ensure the platform is configured secured and monitored to meet enterprise security and compliance requirements (SOC 2 ISO 27001 data residency etc.).
• Bridge field back to product. Push field learnings into the core platform so the next deployment is faster.
• Account growth and development. Partner with Sales to identify expansion opportunities within the accountsurfacing new use cases supporting renewal conversations and ensuring successful deployments convert to long-term customer relationships.

Qualifications:

• BS/MS in Computer Science Software Engineering Engineering or equivalent practical experience.
• 6 years shipping production software with 2 years as a tech lead or senior individual contributor owning delivery end-to-end.
• Strong proficiency in Python TypeScript/JavaScript Java Go or C.
• Demonstrated ownership of systems taken from zero to production in a commercial or enterprise context.
• Bring deep expertise in at least one vertical (financial services healthcare energy manufacturing or defense) to accelerate time-to-value and credibility with customer stakeholders.
• Experience working directly with business and technical stakeholders at mid-market or enterprise accountscomfortable in both exec-level conversations and deep technical design sessions.
• Familiarity with enterprise data environments: cloud data warehouses (Snowflake Databricks BigQuery Redshift) REST/GraphQL APIs and common ERP or CRM platforms.
• Comfort with modern deployment practices: CI/CD containerization (Docker/Kubernetes) cloud-native services and infrastructure-as-code (Terraform or equivalent).

Preferred Qualifications:

• Prior experience as a tech lead or staff engineer at a SaaS or enterprise software vendor with a forward-deployed or professional services motion.
• Experience with AI/ML platform deployments or data-heavy enterprise applications at scale.
• Familiarity with major cloud environments: AWS Azure or GCP including managed ML/AI services.
• Experience in regulated industries (healthcare/life sciences manufacturing energy) where compliance and change management are part of the delivery.
• Proven ability to turn a messy ambiguous customer problem into a clean repeatable deployment pattern.

C3 AI provides excellent benefits and a competitive compensation package.

Candidates must be authorized to work in the United States without the need for current or future company sponsorship.