Director, GTM AI Engineering

Who we are

Samsara (NYSE: IOT) is the pioneer of the Connected Operations™ Cloud, which is a platform that enables organizations that depend on physical operations to harness Internet of Things (IoT) data to develop actionable insights and improve their operations. At Samsara, we are helping improve the safety, efficiency and sustainability of the physical operations that power our global economy. Representing more than 40% of global GDP, these industries are the infrastructure of our planet, including agriculture, construction, field services, transportation, and manufacturing — and we are excited to help digitally transform their operations at scale.

Working at Samsara means you’ll help define the future of physical operations and be on a team that’s shaping an exciting array of product solutions, including Video-Based Safety, Vehicle Telematics, Apps and Driver Workflows, and Equipment Monitoring. As part of a recently public company, you’ll have the autonomy and support to make an impact as we build for the long term.

Samsara’s Machine Learning, AI, Analytics & Data (MAAD) team builds the intelligence and technology that helps our go-to-market teams work faster, make better decisions, and spend more time with customers.

As the Director, GTM AI Engineering you’ll run our AI Engineering team for GTM. You’ll work closely with Data Science, Analytics, and Data Engineering to serve Sales, Customer Success, Support, Enablement, and GTM leadership. This is a hands-on Director role. Expect to spend about 70% of your time building (prototyping agents, writing code, designing evals) and about 30% leading the team, setting strategy, and influencing stakeholders.

You’ll build intelligent workflow experiences. That ranges from AI agents and copilots that take manual work off sellers’ plates, to signals for propensity and prioritization, to the data, evaluation, and measurement foundations that make these products reliable and trusted.

The ideal candidate is AI-native. You already run your own work through agents every day, you’ve shipped AI products to production, and you get as excited about a seller’s first “wow, this saved me an hour” moment as you do about a clean architecture.

This is a remote position open to candidates residing in the US.

• Build hands-on. Prototype, ship, and iterate on AI agents, copilots, and workflow automations for GTM teams, from the first demo to a production system people rely on.
• Build the platform, not just the apps. Own the architecture of the shared GTM AI platform: orchestration, LLM and tool gateways, identity and access, and the MCP and SDK contracts that let the GTM web app, Salesforce, Slack, desktop, and Claude plugins share one set of governed capabilities.
• Make evals a first-class discipline. Design evaluation frameworks for agent and LLM behavior, including golden datasets, LLM-as-judge, human review loops, and regression suites, and run them in development and production. Use transcript analysis and eval results to find failures, guide what to fix first, and show quality improving over time.
• Lead with AI day to day. Use agents, coding assistants, and agent harnesses in your own daily work, and build the shared tooling, patterns, and harnesses that make the whole team faster.

• 10+ years across software engineering, machine learning, data science, or data platforms, including meaningful leadership experience. You still write code regularly.
• Bachelor’s degree or equivalent relevant work experience.
• Hands-on experience building and shipping LLM applications and agentic workflows to production, including tool use, retrieval, context engineering, and production reliability.
• Production full-stack and cloud engineering experience (for example Python or TypeScript, AWS, and Databricks), including owning systems that other teams depend on.
• Demonstrated experience designing and running evaluation frameworks for LLM or agent systems, and using them to drive quality decisions.

The compensation range shown spans approved pay zones for this role. Your primary work location determines the range applicable to you, which may be narrower than the full range displayed.

The range of annual base salary for full-time employees for this position is below. Please note that base pay offered may vary depending on factors including your city of residence, job-related knowledge, skills, and experience. This role is also eligible for an initial RSU grant with no vesting cliff, and ongoing refresh opportunities tied to performance, subject to plan terms and conditions. Learn more about our total rewards and benefits below.

Annual Base Salary $182,000—$325,000 USD

Total Rewards

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.

Flexible Working

At Samsara, we embrace a flexible working model that caters to the diverse needs of our teams. Our offices are open for those who prefer to work in-person and we also support remote work where it aligns with our operational requirements. For certain positions, being close to one of our offices or within a specific geographic area is important to facilitate collaboration, access to resources, or alignment with our service regions. In these cases, the job description will clearly indicate any working location requirements. Our goal is to ensure that all members of our team can contribute effectively, whether they are working on-site, in a hybrid model, or fully remotely. All offers of employment are contingent upon an individual’s ability to secure and maintain the legal right to work at the company and in the specified work location, if applicable.