Lead AI Engineer- GTM Systems

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.

About the role:

The future of Go-To-Market systems at Samsara is agentic, intelligent, and automated — and you will define what that future looks like. As Lead AI Architect, GTM Systems, you will set the technical vision for how Samsara's GTM technology organization builds AI-powered automation: from low-code platforms that put power in the hands of operators, to custom agentic pipelines that tackle the most complex GTM workflows.

This is a senior individual contributor role with organization-wide scope. You won't just advise — you'll architect, prototype, and establish the patterns that the entire GTM engineering team builds against. You'll be the person who defines when to reach for a low-code tool like Workato or Salesforce Flow, when to build a custom LangGraph agent, and how to connect them into a coherent, governed, enterprise-grade system.

You will partner with GTM engineering leadership, Sales Ops, BizTech, and C-level business stakeholders to translate strategic ambitions into architectural blueprints — and then make sure those blueprints become reality. You'll shape the standards, reference architectures, and evaluation frameworks that ensure Samsara's GTM systems are built to last.

This is a remote role open to candidates in Canada.

You should apply if:

• You want to impact the industries that run our world: Your efforts will result in real-world impact – helping to keep the lights on, get food into grocery stores, reduce emissions, and most importantly, ensure workers return home safely.


• You are the architect of your own career: If you put in the work, this role won’t be your last at Samsara. We set up our employees for success and have built a culture that encourages rapid career development, countless opportunities to experiment and master your craft in a hyper growth environment.


• You’re energized by our opportunity: The vision we have to digitize large sectors of the global economy requires your full focus and best efforts to bring forth creative, ambitious ideas for our customers.


• You want to be with the best: At Samsara, we win together, celebrate together and support each other. You will be surrounded by a high-calibre team that will encourage you to do your best. 


• You see every GTM business problem as an architecture problem — and you have the technical depth to design a solution that spans low-code automation, custom AI agents, and enterprise integration


• You're fluent in both the boardroom and the IDE — you can present an architectural vision to a VP of Sales and then prototype it in LangGraph the same afternoon


• You have strong opinions about when to use low-code platforms versus custom builds, and a track record of making those calls correctly in production environments


• You're energized by being the person who sets the bar — who others look to when they don't know what pattern to follow or which technology to choose


• You believe the most durable AI systems are the ones designed for human oversight, transparent reasoning, and safe, auditable operation

In this role, you will:

• Define and own the technical vision for AI-powered GTM systems — establishing the architecture strategy that covers both low-code automation (Workato, MuleSoft, Salesforce Flow) and custom agentic AI builds (LangGraph, LangChain, MCP-enabled pipelines)


• Create and publish the reference architectures, design patterns, and decision frameworks that guide when and how the GTM engineering team builds: low-code-first vs. custom, synchronous vs. event-driven, human-in-the-loop vs. fully automated


• Lead architectural design for the highest-complexity GTM systems — multi-system integrations, enterprise-scale agentic workflows, real-time event processing, and cross-platform data orchestration across Salesforce, NetSuite, Marketo, and custom data stores


• Drive the evaluation, selection, and adoption of emerging AI tools, frameworks, and platforms — assessing fit, risk, and maturity to ensure Samsara stays at the leading edge without accumulating technical debt


• Serve as the organization's technical authority on LLM orchestration: prompt safety, retrieval-augmented generation, model context management, tool calling, multi-agent coordination, and responsible AI design


• Own the integration architecture strategy across the GTM systems landscape — defining the patterns, APIs, event contracts, and data models that allow GTM systems to evolve independently while staying reliably connected


• Champion a scalable low-code-first strategy: define the governance model, extensibility patterns, and operational standards that allow non-engineers to build automations safely without creating fragility or compliance risk


• Partner with VP-level GTM stakeholders to translate strategic business goals into concrete architectural roadmaps — with clear trade-offs, timelines, and success criteria


• Conduct architecture reviews across the GTM engineering team: provide structured feedback, identify systemic risks, and drive continuous improvement in system design quality


• Produce internal thought leadership — white papers, architecture decision records (ADRs), and engineering wikis — that raise the collective technical bar across the GTM systems organization

Minimum requirements for the role:

• Bachelor's degree in Computer Science, Engineering, or related field, or equivalent practical experience


• 10+ years of software engineering experience, with a track record of building and shipping production-grade backend systems


• Minimum of 3 years of Technical Lead experience


• Demonstrated experience personally building and deploying AI agents used by real end users — you can walk through one specific agent: the persona, the problem, the build, and the outcome


• Hands-on proficiency with LLM orchestration and agentic frameworks: LangGraph, LangChain, CrewAI, LlamaIndex, or equivalent


• Experience designing and implementing RAG systems: vector databases, retrieval strategies, chunking approaches, and embedding pipelines


• Strong backend engineering fundamentals: Python and/or Node.js, FastAPI or equivalent, async and event-driven architecture patterns


• AWS experience: Bedrock, Lambda/serverless, SQS/SNS/EventBridge, or equivalent cloud-native infrastructure


• Strong communication skills and the ability to work directly with non-technical business stakeholders to extract requirements and translate them into buildable solutions

An ideal candidate also has:

• Experience building evals and observability tooling for LLM-powered systems: LangFuse, tracing, benchmark suites, or custom harnesses


• Familiarity with sales, deal desk, or finance workflows — enough to understand how a deal moves from lead to quote to close to renewal and where the friction lives


• Experience with FastMCP, LiteLLM, or Model Context Protocol (MCP) in production multi-agent systems


• Exposure to Salesforce as a data source — not as an admin, just enough to know where relevant GTM data lives and how to access it


• Background at a startup building AI for GTM or RevOps, or a RevOps background where you pivoted into AI engineering 


• Experience mentoring engineers or contributing to hiring, even informally


• Familiarity with prompt engineering, tuning, and understanding of how model behavior changes across LLM providers (OpenAI, Anthropic/Claude, etc.)


• Experience with full-stack development: custom application development, AWS Bedrock, Node.js, Python, serverless programming