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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. Motive offers benefits including health, pharmacy, optical and dental care benefits, paid time off, sick time off, short term and long term disability coverage, life insurance as well as 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 Creating a diverse and inclusive workplace is one of Motive's core values. We are an equal opportunity employer and welcome people of different backgrounds, experiences, abilities and perspectives. Please review our Candidate Privacy Notice here . UK Candidate Privacy Notice here . The applicant must be authorized to receive and access those commodities and technologies controlled under U.S. Export Administration Regulations. It is Motive's policy to require that employees be authorized to receive access to Motive products and technology. All job postings are for existing vacancies. Please note; some interviews or new-hire training sessions may be held in person at one of our global offices.
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.