Forward Deployed Team Lead

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.