GTM AI Engineer, Motive
$107-147k
Salary in US currency, may vary in other locations
More information about location
Fleet management platform for trucks
Be an early applicant
Fleet management platform for trucks
1001+ employees
Be an early applicant
$107-147k
Salary in US currency, may vary in other locations
More information about location
1001+ employees
Company mission
To connect the world’s trucks.
Role
Who you are
- We're looking for someone with an experimentation mindset—eager to prototype, learn quickly from failure, and explore new ideas
- You should be passionate about AI’s potential to transform work and have a strong grasp of concepts like context windows, token usage, compute costs, chunking, and performance benchmarks
- Experience with scripting, SQL/SOQL, Python basics, and prompt engineering using models like ChatGPT, Gemini, Claude, etc., via web and API is essential
- Familiarity with the evolving agentic ecosystem (orchestration layers, MCP), and the ability to explain technical topics to non-technical audiences, especially in a GTM context, is key
- 3-5 years of hands-on development experience in an enterprise environment while 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 API’s to aggregate data across multiple source platforms. This includes an understanding of rate limits scalable API use as it pertains to both data sources and LLM’s
- Understanding of scripting, SQL / SOQL, and Python fundamentals
- Experience leveraging prompt engineering to complete complex tasks, such as multi-step agentic workflows or coding
- Experience leveraging foundational models (Gemini, ChatGPT, Perplexity, Claude, Grok and others), both through the web interface and via the 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
- Fully remote position (USA or Canada and must already be located in the country)
What the job involves
- 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
- You'll 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
- This includes building complex agents using Glean and N8N, using low code tools like Retool or Cursor to develop front-end applications, and creating complex prompts for use in Glean, Gemini, or Perplexity
- Internally developed tools will often be tested head-to-head with external vendors to determine the efficacy of the solutions we build
- Collaborate with our internal product managers and ESYS team to integrate key data sources into your applications / agents in a secure way that respects Motive’s data governance structure
- Ensure agents and applications follow UX best practices and can be easily leveraged by a less technical business audience
- Have a strong POV on when an agentic workflow is warranted vs a point solution (i.e., prompt)
- Have a strong POV on which of our internal AI 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
Our take
Trucking is a huge but fragmented industry that was largely ignored by Silicon Valley until companies such as Motive (formerly KeepTruckin) came along. The integrated fleet management platform acts as air traffic control for trucks, bringing drivers online and into the 21st century.
The company offers both hardware and software solutions to freight companies, allowing them to manage their fleet and keep their drivers safe. One of these solutions is an AI-powered dashcam that detects unsafe driving behavior in real time and instantly alerts the driver.
The platform, which is used by over 120,000 companies, from small businesses to Fortune 500 enterprises, received series F funding in 2022, which is being used to accelerate its investment in AI, expand its product offerings into spend management, and grow its enterprise capabilities.
Freddie
Company Specialist at Welcome to the Jungle
Insights
-13% employee growth in 12 months
Company
Funding (last 2 of 8 rounds)
Jul 2025
$150m
LATE VC
May 2022
$150m
SERIES F
Total funding: $717.3m
Company HQ
Yerba Buena, San Francisco, CA
Leadership
Obaid Khan
(COO)Studied Political Science and Government at University of California before founding KeepTruckin in 2013.
Shoaib Makani
(CEO)Studied Government & Economics at LSE. Analytics Intern at Yahoo. Worked for a year at Google as APMM. Went on to work in Business Development at AdMob.
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