Senior GTM AI Engineer -Deal Desk

From the listing

About the role

What you'll do

• Continually identify Deal Desk bottlenecks and AI-solvable problems, turning team and stakeholder challenges into scalable, repeatable tools.
• 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.
• Design 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 lifecycle for internal Deal Desk AI tools, from prototyping and proof-of-concept development through production scaling, beta testing with end users, ongoing maintenance, and continuous improvement.
• Build agents and workflows using Glean, Salesforce—including Agentforce and ClaudeForce—and n8n; develop front-end applications using Retool, Cursor, React, or similar tools; integrate enterprise data and APIs securely; and create 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 they'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.
• 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 APIs to aggregate data across multiple source platforms, including rate limits and scalable API use for data sources and LLMs.
• Experience with scripting, SQL/SOQL, Python basics, and prompt engineering using models via web and API.
• Experience leveraging foundational models such as Gemini, ChatGPT, Perplexity, Claude, and Grok, 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.
• Ability to explain technical topics to non-technical audiences, especially in a GTM context.
• An experimentation mindset—eager to prototype, learn quickly from failure, and explore new ideas—and passion for AI’s potential to transform work.
• Authorized to receive and access commodities and technologies controlled under U.S. Export Administration Regulations.

Nice to have

• Experience building agents, workflows, or React-based user interfaces directly within Salesforce.

Benefits, as listed