GTM AI Engineer

Motive
83d$107,000 - $147,000

About The Position

As a GTM AI Engineer (AKA AI RevDev) on the AI Sales Operations team, you'll be at the forefront of our AI strategy, getting hands-on with cutting edge technology to solve real-world business problems. You will be an internal AI development expert, building (and subsequently owning) a suite of agentic workflows and front-end applications that our 1000+ member sales team will leverage on a daily basis, with coverage from our SMB to Strategic teams. You will own the full development lifecycle for internal AI tools, encompassing everything from initial prototyping and proof-of-concept development to scaling solutions for production, conducting beta tests with end-users, and providing ongoing maintenance. Your responsibilities will include constructing sophisticated agents using platforms like Glean and N8N, developing front-end applications with low-code tools such as Retool and Cursor, and crafting intricate prompts for AI models including Glean, Gemini, and Perplexity.

Requirements

  • 3-5 years of hands-on development experience in an enterprise environment leveraging machine learning + AI models.
  • Strong understanding of AI fundamentals such as context windows, token consumption, compute cost, chunking, and performance benchmarks.
  • Understanding of API usage, limitations, and how to leverage APIs to aggregate data across multiple source platforms.
  • Understanding of scripting, SQL / SOQL, and Python fundamentals.
  • Experience leveraging prompt engineering to complete complex tasks.
  • Experience leveraging foundational models (Gemini, ChatGPT, Perplexity, Claude, Grok and others) through web interface and API.
  • Familiarity with the rapidly evolving agentic landscape, including orchestration layers, MCP, and Agent2Agent.
  • Ability to communicate technical concepts to a non-technical end user.

Responsibilities

  • Own the full development cycle of prototyping / developing proof of concepts, scaling prototypes for production use, beta testing with end users, and performing ongoing maintenance for internal AI tools.
  • Build complex agents using Glean and N8N.
  • Use low code tools like Retool or Cursor to develop front-end applications.
  • Create complex prompts for use in Glean, Gemini, or Perplexity.
  • Test internally developed tools head-to-head with external vendors to determine efficacy.
  • Collaborate with internal product managers and ESYS team to integrate key data sources securely.
  • Ensure agents and applications follow UX best practices for a less technical business audience.
  • Manage a provided cost envelope for production use cases, testing different LLM models.
  • Create and maintain documentation around launched solutions.
  • Train end-users on the usage of launched tools.
  • Stay up-to-date on the latest advancements in LLM’s and agentic orchestration.

Benefits

  • Health, pharmacy, optical and dental care benefits.
  • Paid time off.
  • Sick time off.
  • Short term and long term disability coverage.
  • Life insurance.
  • 401k contribution.
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