About this role
About the Role Samsara's Go-To-Market Systems team is building the AI-first infrastructure that powers how one of the world's fastest-growing SaaS companies sells. 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. This role is a hands-on engineering leadership position focused on delivering reliable, scalable systems while developing people.
What You'll Do
- Lead, hire, and develop a team of 4–7 senior engineers across the full GTM AI systems stack — setting a high bar for technical excellence, collaboration, and delivery.
- Stay hands-on: contribute to system architecture, participate in code and design reviews, pair with engineers on complex problems, and own critical technical decisions for the team's most impactful systems.
- 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 within the broader org.
- 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.
What We're Looking For
- MINIMUM 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 (production services, async processing, LLM integration) and TypeScript/JavaScript (React, Node.js).
- Hands-on Salesforce platform experience: REST/Bulk/Streaming APIs, SOQL, CPQ/Steelbrick, platform events, and flow automation.
- Solid AWS expertise: Lambda, SQS/SNS/EventBridge, API Gateway, S3, RDS/Aurora, CloudWatch, IAM, and multi-account patterns.
- Experience building and deploying LLM-powered systems using OpenAI API, Anthropic API, LangChain, LangGraph, or equivalent agentic frameworks.
- Demonstrated ability to lead multi-engineer technical efforts: writing design docs, running design reviews, and defining engineering standards.
- Track record of effective people management: hiring, performance development, and building inclusive team culture.
- Strong cross-functional communication skills — able to translate engineering decisions to non-technical business stakeholders.
- Bachelor's degree in Computer Science, Engineering, or related field, or equivalent practical experience.