GTM AI Engineer – Deal Desk

atMotiveRemoteUS flagUnited StatesFull-timeAI EngineerMid-levelSenior$140k – $160k/year

Posted 1 day ago

This is a fully remote position, open to applicants in United States.

πŸ“‹ Description

β€’ Identify and automate Deal Desk bottlenecks using AI technology.

β€’ Design validation processes, audit trails, and fallback rules for Deal Desk agents with a human-in-the-loop approach.

β€’ Ensure adherence to revenue recognition policies and pricing approval frameworks.

β€’ Prototype, develop, scale, beta test, maintain, and continuously enhance internal GTM/Deal Desk AI tools.

β€’ Create agents and workflows utilizing Glean, Salesforce, Agentforce, ClaudeForce, and n8n.

β€’ Develop front-end applications utilizing Retool, Cursor, React, or similar technologies.

β€’ Securely integrate enterprise data and APIs.

β€’ Generate prompts and workflows for Gemini, ChatGPT, Claude, and Perplexity.

β€’ Ensure that agents and applications adhere to UX best practices for less technically inclined business users.

β€’ Oversee production use-case expenditures and evaluate LLM models to optimize performance and token usage.

β€’ Create and manage solution documentation.

β€’ Provide training to end users on newly launched tools.

β€’ Collaborate with Deal Desk, Product, ESYS, and business stakeholders to identify use cases, launch tools, and assess adoption and business impact.


⛳️ Requirements

β€’ 5–7 years of direct experience in Deal Desk or RevOps.

β€’ Proven experience in addressing business challenges through tooling, building and deploying internal tools, automations, data products, or AI-driven workflows in an enterprise setting.

β€’ Relevant backgrounds may include AI/ML engineering, Salesforce or business systems, data, software development, or workflow automation.

β€’ Practical experience with CPQ and CLM platforms.

β€’ Strong foundational knowledge of AI principles, including context windows, token consumption, compute costs, chunking, and performance metrics.

β€’ Understanding of API utilization, limitations, rate limits, and scalable API application across data sources and LLMs.

β€’ Familiarity with scripting, SQL/SOQL, and Python fundamentals.

β€’ Experience using foundational models such as Gemini, ChatGPT, Perplexity, Claude, Grok, and others via web interfaces and APIs.

β€’ Familiarity with the agentic landscape, including orchestration layers, MCP, Agent2Agent, Agentforce, and ClaudeForce.

β€’ Preferred experience in building agents, workflows, or React-based user interfaces directly within Salesforce.

β€’ Applicants must be authorized to receive and access commodities and technologies governed by U.S. Export Administration Regulations.

β€’ Compensation may be influenced by education, work experience, and certifications.


🏝️ Benefits

β€’ Health, pharmacy, optical, and dental care benefits.

β€’ Paid time off.

β€’ Sick time off.

β€’ Short-term and long-term disability coverage.

β€’ Life insurance.

β€’ 401(k) contributions.

β€’ Restricted stock units may be included in total compensation for certain positions.

β€’ Some interviews or new-hire training sessions may take place in person at one of the company's global offices.

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