GTM AI Engineer

Motive empowers the people who run physical operations with tools to make their work safer, more productive, and more profitable. For the first time ever, safety, operations and finance teams can manage their drivers, vehicles, equipment, and fleet related spend in a single system. Combined with industry leading AI, the Motive platform gives you complete visibility and control, and significantly reduces manual workloads by automating and simplifying tasks. Motive serves nearly 100,000 customers—from Fortune 500 enterprises to small businesses—across a wide range of industries, including transportation and logistics, construction, energy, field service, manufacturing, agriculture, food and beverage, retail, and the public sector.

About the Role

As a GTM AI Engineer on the AI 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 agents, automations, and full stack applications that our 2500+ member GTM team will leverage on a daily basis, with coverage from our SMB to Strategic segments. 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.

Responsibilities

• Own the full stack 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, as well as use AI-enhanced IDE tools such as Cursor to develop a range of agents, workflows, and full stack applications
• Test internally developed tools head-to-head with external vendors to determine the efficacy of the solutions built
• Collaborate with internal product managers and Enterprise Systems teams to integrate key data sources into applications/agents in a secure way that respects and adds to Motive's data governance structure
• Ensure agents and applications follow UX best practices, meet users where they already work, and can be easily leveraged by a less technical business audience
• Have a strong point of view on when an agentic workflow is warranted vs. a business logic-focused solution
• Determine which internal development tools are best suited to solve a specific use case
• Manage a provided cost envelope for production use cases, testing different LLM models to balance performance with token consumption cost
• 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 LLMs and agentic orchestration

Requirements

• Strong understanding of AI fundamentals, such as context windows, token consumption, compute costs, chunking, and performance benchmarks
• Knowledge of API usage, scripting, SQL/SOQL, and Python fundamentals
• Experience with prompt engineering for complex tasks, leveraging foundational models (like Gemini, GPT, Claude, etc.) through both web interfaces and APIs
• Familiarity with the evolving agentic landscape, including orchestration layers and MCP
• Experimentation mindset, not afraid to try new ideas, learn from failures, and energized by rapid prototyping and testing
• Passion for AI and belief in its potential to fundamentally reshape the future of work

Benefits

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

Pay

The compensation range for this position depends on where you reside. For this role in the United States, the range is $112,000—$140,000 USD.