# Forward Deployed Team Lead - Company: [C3iot]() - Location: London, Greater London, England, United Kingdom - Team: Forward Deployed Engineering - Posted: June 3, 2026 ## 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](https://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 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 account—surfacing 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 accounts—comfortable 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, a competitive compensation package and generous equity plan.** 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. ## Apply [Apply on C3iot]() Canonical job page: