CareerPlanGet AI match score →

Forward Deployed Team Lead

💼 Full-time🗓 2026-07-30

Core

Senior technical lead embedding with enterprise customers to own end-to-end deployment of data and AI platforms from design to production.

Role type

Senior IC forward-deployed team lead (enterprise software)

Builds

Production data pipelines, APIs, and integrations for enterprise clients

Domain

Enterprise software, data infrastructure, and regulated industries (financial services, healthcare, energy, manufacturing, defense)

Deliverable

production ML models | product features | infrastructure

Required skills

Python, TypeScript/JavaScript, Java, Go, C++, system architecture, CI/CD, containerization, cloud-native services, infrastructure-as-code, stakeholder management, project management

Preferred skills

AI/ML platform deployments, regulated industry compliance, SaaS professional services experience, turning ambiguous problems into repeatable patterns

Technologies

AWS, Azure, GCP, Snowflake, Databricks, BigQuery, Redshift, Docker, Kubernetes, Terraform, REST, GraphQL

Responsibilities

Design data flow, integration topology, and deployment architecture; write production backend code and data pipelines; own deployment roadmap and statement of work execution; manage project plans, milestones, and risks; conduct customer working sessions and brief executives; deploy to production integrating with customer data warehouses and ERP/CRM systems; configure platform for enterprise security and compliance; feed field learnings back to core product; partner with sales on account growth and renewal.

Seniority

Senior, hands-on IC with leadership responsibilities

Rewrite
## About the role 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. ## What we offer C3 AI provides excellent benefits, a competitive compensation package and generous equity plan.
Sourced via wellfound · Listed on CareerPlan, which tracks 70,000+ jobs from 20+ sources.
Apply on Wellfound ↗