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Forward Deployed Engineer

Deploy and extend enterprise software in customer environments, building integrations, data pipelines, agent workflows, and tooling. The role requires 2–3 years of software experience, Python and TypeScript familiarity, third-party API integration experience, and comfort working directly with customers.

About the job

Responsibilities

  • Deploy the platform inside enterprise environments, potentially working on-site with teammates to map service workflows.
  • Increment production code across integrations, data pipelines, agent workflows, and internal tooling.
  • Integrate the platform with customer systems, including ticketing, identity, device management, and knowledge-base systems.
  • Own parts of live deployments early and take responsibility for complete deployments as experience grows.
  • Feed deployment learnings back into the product.

Requirements

  • 2–3 years of professional software development experience, or a strong engineering degree plus an internship shipping production work.
  • Comfort with Python and TypeScript, or the ability to learn them quickly.
  • Experience integrating third-party APIs and working with external data in production.
  • Demonstrated initiative through personal tools, applications, open-source contributions, or similar projects.
  • Willingness to work directly with customers.
  • Ability to persist through challenging or unglamorous work and provide a concrete example.

Nice-to-haves

  • Hands-on experience with LLM agents, tool use, retrieval, or evaluations, preferably shipped to production.
  • Exposure to IT service management, configuration management databases, or enterprise IT operations.
  • Two years of technical consulting or solutions engineering experience with an interest in writing more code.

Compensation and Benefits

  • Annual salary: $140,000–$200,000 USD.
  • Equity and benefits package.
  • On-site collaborative workspace in Midtown, Manhattan, five days per week, with potential travel to customer sites.
  • Opportunities to work with graph databases, LLM orchestration, self-healing integrations, and natural-language workflow engines in enterprise environments.

Skills

Python, TypeScript, Third-Party Apis, Data Pipelines, Llm Agents, Retrieval-Augmented Generation, Graph Databases, Itsm, Cmdb, Enterprise Integrations

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