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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 for a hands-on engineering leader — someone who writes code, conducts design reviews, and shapes architecture alongside the team, while also owning the people processes that make a great team great: hiring, career development, performance, and culture. You'll partner closely with Sales Ops, BizTech, Finance, and GTM leadership to translate business ambitions into reliable, scalable engineering roadmaps.

You'll report to the Sr. Director, Sales Technology Engineering, and serve as the technical and people lead for a team of 4–7 engineers. You'll set the standard — for code quality, architectural thinking, on-call discipline, and how the team shows up in cross-functional conversations.

YOU SHOULD APPLY IF

• 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 about career growth
• You believe great managers unblock their teams by being technically credible, not by staying out of the code
• You've built and shipped production AI systems and know what it takes to take an agentic workflow from prototype to enterprise reliability
• You're energized by ambiguity — you can take a fuzzy business need from a VP of Sales and turn it into a concrete engineering roadmap
• You care about building an inclusive, high-trust team where engineers grow and do the best work of their careers

IN THIS ROLE, YOU WILL

• 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 (distributed tracing, alerting, SLAs), 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

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

AN IDEAL CANDIDATE ALSO HAS

• Experience designing and operating low-code automation platforms (Workato, MuleSoft, Salesforce Flow) alongside custom-built agentic systems
• Background in GTM engineering, RevOps tooling, or sales technology platform development in a high-growth B2B SaaS environment
• Familiarity with Model Context Protocol (MCP) or custom tool/function-calling patterns in production agentic systems
• AWS certifications: Solutions Architect Professional or DevOps Engineer Professional
• Experience operating in GovRAMP or FedRAMP-adjacent environments
• Prior experience scaling an engineering team through a period of significant organizational or technical growth

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