GTM AI Engineer – Deal Desk

Motive

. Identify Deal Desk bottlenecks and automate them using AI .

Posted 9/19/2026full-timeRemote • United StatesMid-LevelSenior💰 $140,000 - $160,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in automating Deal Desk processes using AI, developing and scaling internal tools, and ensuring compliance with revenue recognition policies. Proficient in building workflows and applications that enhance user experience for business stakeholders.

Highest-signal resume keywords

Deal Desk ExperienceAI FundamentalsSalesforce ProficiencyWorkflow AutomationScripting and SQL

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI-Enabled WorkflowsCPQ and CLM PlatformsScriptingSQL/SOQLPython FundamentalsAPI IntegrationReact DevelopmentData ProductsToken ConsumptionPerformance Benchmarks

Tools & Technologies

GleanSalesforceAgentforceClaudeForceN8nRetoolCursorGeminiChatGPTPerplexity

Industry Keywords

Revenue Recognition PoliciesBusiness SystemsEnterprise EnvironmentAgentic LandscapeOrchestration Layers

Tech Stack

Tools & technologies

PythonReactSQL

About the role

Key responsibilities & impact

Identify Deal Desk bottlenecks and automate them using AI
Design human-in-the-loop validation, audit trails, and fallback rules for Deal Desk agents
Ensure compliance with revenue recognition policies and pricing approval matrices
Prototype, develop, scale, beta test, maintain, and continuously improve internal GTM/Deal Desk 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 Gemini, ChatGPT, Claude, and Perplexity
Ensure agents and applications follow UX best practices for less technical business users
Manage production use-case costs and test LLM models to balance performance and token consumption
Create and maintain solution documentation
Train end users on launched tools
Partner with Deal Desk, Product, ESYS, and business stakeholders to identify use cases, launch tools, and measure adoption and business impact

Requirements

What you’ll need

5–7 years of hands-on Deal Desk or RevOps experience
Experience 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, including context windows, token consumption, compute cost, chunking, and performance benchmarks
Understanding of API usage, limitations, rate limits, and scalable API use across data sources and LLMs
Understanding of scripting, SQL/SOQL, and Python fundamentals
Experience using foundational models including Gemini, ChatGPT, Perplexity, Claude, Grok, and others through web interfaces and APIs
Familiarity with the agentic landscape, including orchestration layers, MCP, Agent2Agent, Agentforce, and ClaudeForce
Experience building agents, workflows, or React-based user interfaces directly within Salesforce is preferred
Applicant must be authorized to receive and access commodities and technologies controlled under U.S. Export Administration Regulations
Education, work experience, and certifications may affect compensation

Benefits

Comp & perks

Health, pharmacy, optical and dental care benefits
Paid time off
Sick time off
Short-term and long-term disability coverage
Life insurance
401(k) contribution
Restricted stock units may be included in total compensation for certain roles
Some interviews or new-hire training sessions may be held in person at one of the company's global offices