Senior​/Forward Deployment Engineer

What You'll Do

• Embed with internal teams and external customers to understand their workflows, pain points, and goals — then design and deploy solutions that fit.
• Build production-quality code, integrations, and automations across AI/GenAI, data, and software platforms to solve concrete business problems.
• Prototype rapid prototypes and proofs-of-concept, iterate based on direct user feedback, and move them into reliable, scalable production.
• Integrate data pipelines, APIs, and third-party systems, handling the real-world messiness of enterprise environments.
• Partner with end users and stakeholders — running demos, gathering requirements, troubleshooting live, and translating technical concepts into business value.
• Feed recurring pain points and friction back to product and engineering teams to influence the core roadmap.
• Monitor and improve solutions for reliability, performance, and adoption after launch — you own outcomes, not just deliverables.
• Establish the playbooks, standards, and tooling for the FDE function, and mentor junior engineers as the team grows.

• Experience:
  
  8+ years building and shipping software in production, including significant time owning complex, ambiguous projects end-to-end with minimal supervision.
• Platform fluency:
  Proven experience with data tools (SQL, pipelines, warehouses such as Snowflake/Databricks) and/or AI/GenAI tooling (LLMs, RAG, agentic workflows). You bring real breadth and adapt quickly to the right tool for the problem.
• Customer-facing track record: A track record of customer-facing or forward-deployed work — you ve shipped solutions directly with end users, navigated enterprise complexity, and earned the trust of senior stakeholders.
• Leadership:
  You ve led projects, set technical direction, and raised the bar for those around you — formally or informally.
• Communication:
  Exceptional written and verbal communication; you translate fluidly between deep technical detail and executive-level business value.
• Bias for action:
  You ship, learn, and iterate quickly at a high quality bar, and you bring order to ambiguous, fast-moving situations.

• Experience deploying AI/ML or LLM-based solutions in an enterprise setting.
• Cloud experience (AWS, GCP, or Azure) and familiarity with CI/CD and containerization.
• Experience as a founding or early member of a new team or function.
• Telecommunications or large-scale enterprise data domain knowledge.