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Staff Forward Deployed Engineer, GTM Platform

Build and own a zero-to-one AI-native platform for internal go-to-market teams, embedding with revenue operations to transform workflows and deliver measurable business outcomes. The role requires staff-level engineering depth, production LLM experience, and strong architectural judgment.

About the job

Responsibilities

  • Build the first version of an AI-native platform for go-to-market teams, spanning agentic orchestration, automation, and revenue-team interfaces.
  • Embed with revenue teams to understand workflows and design and ship systems that materially improve how work gets done.
  • Own technical direction, including architecture decisions, tooling, and engineering patterns.
  • Move prototypes into production quickly and iterate as AI capabilities evolve.
  • Anchor work to business outcomes and measure success by the value the platform unlocks.
  • Partner with security and infrastructure teams to ensure systems are sound and supportable.
  • Document technical decisions and tradeoffs clearly.

Requirements

  • Staff-level engineering experience, approximately 8 years or comparable depth, with a history of owning systems end to end.
  • Experience taking greenfield systems, early-stage products, or internal platforms from zero to one.
  • Production experience building with LLMs and AI APIs, including prompt design, output evaluation, and reliability iteration.
  • Fluency with AI-assisted development tools.
  • Strong technical judgment and the ability to refactor and change direction as requirements evolve.
  • Genuine interest in business operations and revenue-team workflows.
  • Ability to work independently amid ambiguity and bring stakeholders along.
  • Clear communication with engineers and non-engineers.
  • Willingness to work across programming languages; current prototypes use React, TypeScript, and Python.

Nice to Haves

  • Understanding of CRM and revenue data models, such as Salesforce or HubSpot.
  • Experience as an early or founding engineer or as the builder of an internal tooling function.
  • Familiarity with retrieval-augmented generation, vector databases, and embedding-based search.
  • Experience in marketplace or high-growth environments.
  • Experience with modern data platforms such as Snowflake.

Compensation and Benefits

  • Medical, dental, and vision coverage starting on Day 1.
  • Equity through ISOs.
  • 401(k) program.
  • Family planning programs and paid parental leave.
  • Physical fitness and wellness memberships.
  • Emotional and mental health support programs.
  • Unlimited PTO, 10 paid federal holidays, and an annual week-long Winter Break.
  • Flexible work environment.
  • Lunch reimbursement for in-office employees.
  • Employee Resource Groups.
  • Learning and Development stipend.

Skills

LLMs, Ai Apis, Prompt Design, React, TypeScript, Python, Agentic Orchestration, Retrieval-Augmented Generation, Vector Databases, Embedding-Based Search, Salesforce, HubSpot, Snowflake, Security, Infrastructure

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