Description
Job Summary
We are seeking an AI Engineering Manager to lead a team of senior engineers who build and operate AI orchestration engines, Salesforce/CRM/PRM integrations, and agentic workflows that keep our global sales organization moving.
Responsibilities
- Lead, hire, and develop a team of 4–7 senior engineers across the full GTM AI systems stack
- Stay hands-on: contribute to system architecture, participate in code and design reviews, pair with engineers on complex problems, and own critical technical decisions
- Own the engineering roadmap for GTM AI systems , partnering with Sales Ops, BizTech, Finance, Legal, and GTM leadership to set priorities, define milestones, and communicate progress
- 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
- Champion engineering quality: establish and uphold standards for code review, testing, observability, incident response, and documentation
- Create a culture of responsible AI development , ensuring the team follows safe data handling practices, maintains audit trails, and builds human-in-the-loop controls from the start
- Manage team health: run effective 1:1s, give timely and actionable feedback, unblock engineers, resolve conflicts, and advocate for your team's needs
- Identify and eliminate systemic sources of friction in GTM workflows , turning recurring manual processes into automated, self-healing systems that scale with the business
- Serve as a technical authority in cross-functional conversations , representing the engineering team's perspective to VP- and C-level GTM stakeholders
Requirements
- 8+ years of software engineering experience, including 2+ years in an engineering management or tech lead role with direct reports
- Strong technical depth in Python and TypeScript/JavaScript
- Hands-on Salesforce platform experience
- Solid AWS expertise
- Experience building and deploying LLM-powered systems
- Demonstrated ability to lead multi-engineer technical efforts and effective people management
- Strong cross-functional communication skills
- Bachelor's degree in Computer Science, Engineering, or related field, or equivalent practical experience
Benefits
- Flexible, employee-led remote model
- Professional development stipend
- Comprehensive health and parental leave plans
- Above-market total compensation through a combination of base salary, performance-based bonus/variable pay, and equity