At Samsara, we embrace a flexible working model that caters to the diverse needs of our teams.
Key Responsibilities
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.
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
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)
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
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
#LI-hybrid
Benefits & Perks
At Samsara, we build for the people who keep the global economy moving. We want owners, not passengers, which is why our rewards are designed to fuel high-impact builders. Our compensation program delivers above-market total compensation through a combination of base salary, performance-based bonus/variable pay, and equity (for eligible roles) in a high-growth public company. We meaningfully differentiate pay for our top performers, who have the opportunity to earn above-market compensation that can outpace the broader market over time.
Beyond compensation, we provide the foundations that enable long-term success: a flexible, employee-led remote model, a professional development stipend, comprehensive health and parental leave plans, and more. If you’re ready to build for the long term and own the outcome, your journey starts here.
Ready to Apply?
Join Samsara and make an impact in renewable energy