Sr AI Engineer, AI Platform

Samsara

10h•Remote

About The Position

Samsara’s Revenue Operations AI & Data Team is building the future of how we go to market — with intelligence, personalization, and speed. We’re a high-impact team of builders, scientists, and strategists focused on transforming sales operations through AI. Our mission is to help sellers reach the right customer at the right time with the right message — and to put everything they need at their fingertips, whether that’s data from Salesforce, context from a past call, or content that wins deals. As a Sr. AI Engineer II, you’ll lead development of production-grade generative AI applications that power Samsara’s GTM engine. You’ll work at the cutting edge of applied AI: generating high-quality outreach at scale, building copilots for sellers, and enabling voice and chat interfaces that help teams engage with customers more naturally and effectively. You’ll partner closely with revenue operations, sales leadership, product, and engineering teams — and you’ll be empowered to move fast, test ideas, and scale impact across the company.

Requirements

5+ years of industry experience, with a focus on software engineering, applied machine learning, or AI product development.
Demonstrated success building and deploying production-ready AI/ML applications, particularly in generative AI (e.g., LLMs, prompt engineering, embeddings, RAG systems).
Expert in Python and GenAI frameworks (e.g., LangChain, OpenAI SDK, MCP, etc.)
Experience developing backend systems and APIs, and working closely with product and design to ship customer-facing features.
Strong product sense and ability to work in fast-paced, cross-functional environments.
Located in and authorized to work in the United States (this is a fully remote role).

Nice To Haves

Experience working on AI products in a sales, go-to-market, or revenue operations context.
Familiarity with enterprise tools like Salesforce, Gong, Outreach, or similar CRM/enablement platforms.
Experience integrating with vector databases, retrieval systems, or streaming voice/chat pipelines.
A track record of leading major technical initiatives or mentoring engineers in high-growth teams.
Exposure to infrastructure considerations such as cost optimization, model evaluation, observability, and latency management.

Responsibilities

Build GenAI tools that help sellers find and connect with the right customers faster.
Develop AI-powered copilots that surface CRM insights and sales knowledge in real time.
Launch AI features that improve efficiency and personalization across the sales funnel.
Work hands-on across the stack: from model experimentation to app development and infrastructure.
Collaborate with top-tier engineers, data scientists, and sales operators in a fast-moving environment.