GTM AI Engineer

AI Chopping Block; Northern (KY); Hybrid; USD 112,000 - 140,000; Full time

Benefits offered by this job

Health benefits

Vision and dental insurance

Paid time off

Disability insurance

Life insurance

401k

Job summary

Motive is hiring a GTM AI Engineer to lead internal AI tool development on the AI Operations team. You will own end-to-end prototyping, build agents using Glean and N8N, and scale solutions with Cursor and Google Cloud for Motive's 2500+ GTM users.

You will manage cost envelopes, evaluate LLMs, document launched solutions, and train end-users while staying ahead of the latest agentic orchestration trends.

Qualifications

• Experience building agents and full stack applications for internal tools.
• Strong fundamentals in AI, prompts, and models; familiarity with LLM tooling.
• Proficiency in Python and SQL; API integration skills.

Responsibilities

• Own the full stack development cycle from prototyping to production for internal AI tools.
• Build complex agents using Glean and N8N and develop supporting dashboards/apps with Cursor/Google Cloud.
• Collaborate with product and enterprise teams to integrate data sources securely.
• Manage cost envelopes for production use cases and optimize token costs.
• Create and maintain documentation; train end-users on launched tools.
• Stay up-to-date with advancements in LLMs and agentic orchestration.

Skills

Full stack development

AI fundamentals

Python

SQL

API usage

Prompt engineering

LLM models

Glean

N8N

Cursor

Google Cloud

Agentic orchestration

Tools

Glean

N8N

Cursor

Google Cloud

Job description

Who we are:

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.

Visit gomotive.com to learn more.

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. Your responsibilities will include constructing sophisticated agentic tools using platforms like Glean and N8N, developing full stack applications using Cursor and Google Cloud. The solutions you make will have a measurable impact on our organization – with each solution you launch having a user adoption and financial impact target that you own.

We are seeking an individual with an experimentation mindset, who is not afraid to try new ideas, learn from failures, and is energized by the prospect of rapid prototyping and testing. The ideal candidate is deeply passionate about AI, believing in its potential to fundamentally reshape the future of work and eager to be a part of this transformation. You should possess a strong understanding of AI fundamentals, such as context windows, token consumption, compute costs, chunking, and performance benchmarks, along with 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, and familiarity with the evolving agentic landscape, including orchestration layers and MCP, are also essential.

What You'll Do:

• 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
• This includes building complex agents using Glean and N8N, as well as using AI enhanced IDE tools such as Cursor to develop a range of agents, workflows, and full stack applications
• Internally developed tools may be tested head-to-head with external vendors to determine the efficacy of the solutions we build
• Collaborate with our internal product managers and Enterprise Systems teams to integrate key data sources into your 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 POV on when an agentic workflow is warranted vs a business logic focused solution
• Have a strong POV on which of our internal development tools is 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 LLM's and agentic orchestration

What We're Looking For:

• 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
• This includes building complex agents using Glean and N8N, as well as using AI enhanced IDE tools such as Cursor to develop a range of agents, workflows, and full stack applications
• Internally developed tools may be tested head-to-head with external vendors to determine the efficacy of the solutions we build
• Collaborate with our internal product managers and Enterprise Systems teams to integrate key data sources into your 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 POV on when an agentic workflow is warranted vs a business logic focused solution
• Have a strong POV on which of our internal development tools is 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 LLM's and agentic orchestration

Pay Transparency

Your compensation may be based on several factors, including education, work experience, and certifications. For certain roles, total compensation may include restricted stock units.

• health
• pharmacy
• optical and dental care benefits
• paid time off
• sick time off
• short term disability coverage
• long term disability coverage
• life insurance
• 401k contribution (all benefits are subject to eligibility requirements)

Learn more about our benefits by visiting Motive Perks & Benefits.

The compensation range for this position will depend on where you reside. For this role, the compensation range is:

United States

$112,000 — $140,000 USD

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