At Samsara, we embrace a flexible working model that caters to the diverse needs of our teams.
Key Responsibilities
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.
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
Requirements
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
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.)
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
$135,575
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$175,450 USD
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?
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