[Hiring] GTM AI Engineer @Motive

Role Description

As a GTM Engineer on the Deal Desk team, you’ll build and own practical AI-powered workflows, automations, and agents that improve how our Sales and GTM teams operate. You will be an operational Builder, continually scanning Deal Desk workflows for AI-solvable problems, turning team and 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
• Measure adoption and business impact for teams ranging from SMB to Strategic

You will own the full development lifecycle for internal Deal Desk AI tools, from initial prototyping and proof-of-concept development through production scaling, beta testing with end users, ongoing maintenance, and continuous improvement.

The ideal candidate has practical business experience on a GTM or RevOps team and an experimentation mindset—eager to prototype, learn quickly from failure, and explore new ideas.

You should be passionate about AI’s potential to transform work and have a strong grasp of concepts like:

• Context windows
• Token usage
• Compute costs
• Chunking
• Performance benchmarks

Experience with scripting, SQL/SOQL, Python basics, and prompt engineering using models like ChatGPT, Gemini, Claude, etc., via web and API is essential.

Familiarity with the evolving agentic ecosystem, and the ability to explain technical topics to non-technical audiences, especially in a GTM context, is key.

Qualifications

• 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 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
• Understanding of scripting, SQL/SOQL, and Python fundamentals
• Experience leveraging foundational models (Gemini, ChatGPT, Perplexity, Claude, Grok and others), 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
• Experience building agents, workflows, or React-based user interfaces directly within Salesforce is preferred

Requirements

• Operate with the default question: “How can I use AI to solve this?”
• Consistently identify Deal Desk bottlenecks to automate in order to provide the best possible experience for stakeholders
• Design robust human-in-the-loop validation, audit trails, and fallback rules for Deal Desk agents
• Own the full development cycle of prototyping / developing proof of concepts
• Scale prototypes for production use
• Beta test with end users
• Perform ongoing maintenance for internal AI tools that support our GTM/Deal Desk and Sales partners
• 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
• Create prompts and workflows for models such as Gemini, ChatGPT, Claude, and Perplexity
• Ensure agents and applications follow UX best practices
• Manage a cost envelope for production use cases
• Create and maintain documentation around launched solutions
• Train end-users on the usage of launched tools

Benefits

• Health, pharmacy, optical and dental care benefits
• Paid time off
• Sick time off
• Short term and long term disability coverage
• Life insurance
• 401k contribution (all benefits are subject to eligibility requirements)