GTM AI Engineer -Deal Desk
GoMotive · United States - Remote
About this role
**Motive — GTM AI Engineer (Deal Desk)** **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 drivers, vehicles, equipment, and fleet-related spend in a single system—combined with industry-leading AI to reduce manual workloads through automation and simplification. Motive serves nearly 100,000 customers across transportation & logistics, construction, energy, field service, manufacturing, agriculture, food & beverage, retail, and the public sector. Learn more: http://gomotive.com --- ## 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 Sales and GTM teams operate. You’ll act as an operational builder—continually scanning Deal Desk workflows for AI-solvable problems and turning 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 across SMB to Strategic teams. You’ll own the full development lifecycle for internal Deal Desk AI tools—from prototyping and proof-of-concept through production scaling, beta testing, ongoing maintenance, and continuous improvement. --- ## What You’ll Do - Use the default question: **“How can I use AI to solve this?”** to identify Deal Desk bottlenecks and automate for the best stakeholder experience. - Design **human-in-the-loop validation**, **audit trails**, and **fallback rules** to ensure compliance with revenue recognition policies and pricing approval matrices. - Own the full cycle of prototyping → scaling → beta testing → ongoing maintenance for internal AI tools supporting GTM/Deal Desk and Sales partners. - Build agents/workflows using **Glean**, **Salesforce** (including **Agentforce** and **ClaudeForce**), and **n8n**. - Develop front-end apps using **Retool**, **Cursor**, **React**, or similar tools. - Integrate enterprise data and APIs securely. - Create prompts/workflows for models such as **Gemini**, **ChatGPT**, **Claude**, and **Perplexity**. - Ensure agents and applications follow **UX best practices** and are easy for less-technical business users. - Manage a **cost envelope** for production use cases; test different LLM models to balance performance and token consumption cost. - Create and maintain documentation for launched solutions. - Train end-users on how to use the tools. --- ## What We’re Looking For - **5–7 years** hands-on Deal Desk or RevOps experience, including solving business challenges with tooling and building/deploying internal tools, automations, data products, or AI-enabled workflows in an enterprise environment. - Relevant backgrounds may include AI/ML engineering, Salesforce/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 leveraging APIs to aggregate data across multiple sources (including rate limits and scalable API use for both data sources and LLMs). - Scripting, **SQL/SOQL**, and **Python** fundamen
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