Skip to Content
GenAIAI/MLSales On-site

AI Engineering Manager

Job Overview

As Engineering Manager, GTM AI Engineering, you'll lead a team of senior engineers who build and operate the AI orchestration engines, Salesforce/CRM/PRM integrations, and agentic workflows that keep our global sales organization moving.

Key points

  1. Lead, hire, and develop a team of 4–7 senior engineers across the full GTM AI systems stack — setting a high bar for technical…

  2. Stay hands-on: contribute to system architecture, participate in code and design reviews, pair with engineers on complex problems…

  3. Own the engineering roadmap for GTM AI systems — partnering with Sales Ops, BizTech, Finance, Legal, and GTM leadership to set priorities…

  4. Drive delivery of AI-first GTM systems: agentic AI pipelines, LLM orchestration layers, Salesforce CPQ integrations, real-time Slack applications, and AWS event-driven architectures.

  5. You thrive at the intersection of hands-on technical leadership and people management — you're equally comfortable in a design review and a 1:1 conversation…

  6. You believe great managers unblock their teams by being technically credible, not by staying out of the code.

  7. You've built and shipped production AI systems and know what it takes to take an agentic workflow from prototype to enterprise reliability.

  8. You're energized by ambiguity — you can take a fuzzy business need from a VP of Sales and turn it into a concrete engineering…

Skills

SalesforceAWSLLMsRoadmappingJavaScriptStakeholder ManagementPythonTypeScript

Experience: Entry-level · 8+ years

Similar jobs

More open roles like this one