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Salary: USD 140,000 - 160,000 / annual
Motive empowers physical operations teams with safety, operations, and finance tools. The company serves nearly 100,000 customers across transportation, logistics, construction, energy, field service, manufacturing, agriculture, food and beverage, retail, and public sector.
As a GTM AI Engineer on the Deal Desk team, you will build and own practical AI-powered workflows, automations, and agents that improve how Sales and GTM teams operate. You will act as an operational builder, continuously scanning Deal Desk workflows for AI-solvable problems and turning team challenges into scalable, repeatable tools.
You will 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. You own the full development lifecycle for internal Deal Desk AI tools—from initial prototyping and proof-of-concept through production scaling, beta testing with end users, ongoing maintenance, and continuous improvement.
Key responsibilities include:
- Identify Deal Desk bottlenecks and automate them using AI, with a default question of "How can I use AI to solve this?"
- Design robust human-in-the-loop validation, audit trails, and fallback rules for Deal Desk agents to ensure compliance with revenue recognition policies and pricing approval matrices
- Own the full development cycle: prototyping, scaling for production, beta testing, and maintenance of internal AI tools
- Build agents and workflows using Glean, Salesforce (Agentforce, ClaudeForce), and n8n
- Develop front-end applications using Retool, Cursor, React, or similar tools
- Integrate enterprise data and APIs securely
- Create prompts and workflows for models such as Gemini, ChatGPT, Claude, and Perplexity
- Ensure agents and applications follow UX best practices for less technical business audiences
- Manage cost envelopes for production use cases, testing different LLM models to balance performance with token consumption
- Create and maintain documentation around launched solutions
- Train end-users on tool usage
The ideal candidate has practical business experience on a GTM or RevOps team, with an experimentation mindset and passion for AI's potential to transform work. You should be able to explain technical topics to non-technical audiences, especially in a GTM context.
REQUIREMENTS:
- 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: context windows, token consumption, compute cost, chunking, and performance benchmarks
- Understanding of API usage, limitations, and how to leverage APIs to aggregate data across multiple source platforms, including understanding of rate limits and scalable API use for both data sources and LLMs
- Understanding of scripting, SQL/SOQL, and Python fundamentals
- Experience leveraging foundational models (Gemini, ChatGPT, Perplexity, Claude, Grok, and others) both through web interface and via 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
