GTM AI Engineer -Deal Desk

Posted 8 Hours Ago
Easy Apply
Hiring Remotely in United States
Remote
140K-160K Annually
Senior level
Artificial Intelligence • Fintech • Hardware • Information Technology • Sales • Software • Transportation
Unlock the potential of the physical economy.
The Role
Build and manage AI-powered workflows, agents, automations, and internal applications for Deal Desk and GTM teams. Identify automation opportunities, develop prototypes, scale solutions to production, integrate enterprise data and APIs, implement human validation and audit controls, optimize LLM costs, document tools, measure adoption, and train users. The role requires Deal Desk or RevOps experience plus practical knowledge of AI models, APIs, scripting, SQL/SOQL, Python, CPQ, CLM, Salesforce, and agentic platforms.
Summary Generated by Built In

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 Engineer on the Deal Desk team, you’ll build and own practical AI-powered workflows, automations, and agents that improve how our Sales and GTM teams operate. You will be an operational Builder, continually scanning Deal Desk workflows for AI-solvable problems, turning team and stakeholder challenges into scalable, repeatable tools. You’ll partner with Deal Desk, Product, ESYS, and business stakeholders to identify high-value use cases, prototype solutions, launch secure production tools, and measure adoption and business impact for teams ranging from SMB to Strategic. You will own the full development lifecycle for internal Deal Desk AI tools, from initial prototyping and proof-of-concept development through production scaling, beta testing with end users, ongoing maintenance, and continuous improvement. The ideal candidate has practical business experience on a GTM or RevOps team.

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, and the ability to explain technical topics to non-technical audiences, especially in a GTM context, is key.

What You'll Do:
  • Operate with the default question: “How can I use AI to solve this?”, consistently identifying Deal Desk bottlenecks to automate in order to provide the best possible experience for our stakeholders.
  • Design robust human-in-the-loop validation, audit trails, and fallback rules for Deal Desk agents to ensure complete compliance with revenue recognition policies and pricing approval matrices.
  • 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 that support our GTM/Deal Desk and Sales partners. This includes building agents and workflows using Glean, Salesforce—including Agentforce and ClaudeForce—and n8n; developing front-end applications using Retool, Cursor, React, or similar tools; integrating enterprise data and APIs securely; and creating prompts and workflows for models such as Gemini, ChatGPT, Claude, and Perplexity.
  • Ensure agents and applications follow UX best practices and can be easily leveraged by a less technical business audience 
  • Manage a 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
What We're Looking For:
  • 5-7 years of hands-on Deal Desk or RevOps experience, including solving business challenges with tooling, building and deploying internal tools, automations, data products, or AI-enabled workflows in an enterprise environment. Relevant backgrounds may include AI/ML engineering, Salesforce or business systems, data, software development, or workflow automation.
  • Hands-on experience with CPQ and CLM platforms
  • 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 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, Agent2Agent, and Salesforce-native agent platforms such as Agentforce and ClaudeForce. Experience building agents, workflows, or React-based user interfaces directly within Salesforce is preferred.

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
$140,000$160,000 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.

Skills Required

  • 5-7 years of hands-on Deal Desk or Revenue Operations experience
  • Experience solving business challenges with tooling, internal tools, automations, data products, or AI-enabled workflows in an enterprise environment
  • Hands-on experience with CPQ and CLM platforms
  • Strong understanding of AI fundamentals, including context windows, token consumption, compute costs, chunking, and performance benchmarks
  • Understanding of API usage, limitations, rate limits, and scalable data aggregation across source platforms and LLMs
  • Understanding of scripting, SQL or SOQL, and Python fundamentals
  • Experience using foundational models such as Gemini, ChatGPT, Perplexity, Claude, or Grok through web interfaces and APIs
  • Familiarity with agentic ecosystems, orchestration layers, MCP, Agent2Agent, Agentforce, and ClaudeForce
  • Experience building agents, workflows, or React-based user interfaces directly within Salesforce
  • Ability to explain technical topics to non-technical audiences in a GTM context
  • Applicant must be authorized to receive and access technologies controlled under U.S. Export Administration Regulations

What the Team is Saying

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Motive Compensation & Benefits Highlights

  • Healthcare Strength Medical, dental, and vision coverage plus free mental‑health support are prominently offered, including access to Lyra Health. The breadth of core health benefits is positioned as a cornerstone of the package.
  • Leave & Time Off Breadth Generous vacation/PTO, local holidays, sick time, and enhanced parental leave are highlighted across company materials. The time‑off framework is presented as flexible and comprehensive.
  • Retirement Support A retirement plan with company match is promoted alongside life and disability insurance. Financial protections and long‑term savings features are emphasized as part of total rewards.

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The Company
HQ: San Francisco, CA
4,000 Employees
Year Founded: 2013

What We Do

Motive builds technology to improve the safety, productivity, and profitability of businesses that power the physical economy. The Motive Automated Operations Platform combines IoT hardware with AI-powered applications to automate vehicle and equipment tracking, driver safety, compliance, maintenance, spend management, and more. Motive serves more than 120,000 businesses, across a wide range of industries including trucking and logistics, construction, oil and gas, food and beverage, field service, agriculture, passenger transit, and delivery. Visit gomotive.com to learn more.

Why Work With Us

We work hard, with humility and we see our efforts rewarded in tangible ways every day. At Motive, you’ll have the chance to make a difference for the drivers who keep our world moving. We trust each other to do great work because together we can achieve collective goals that reach beyond the physical economy.

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