Senior AI Engineer, Platform

About the Role

Samsara’s Revenue Operations AI & Data Team is dedicated to building the future of how the company goes to market, leveraging intelligence, personalization, and speed. This high-impact team focuses on transforming sales operations through AI, aiming to help sellers connect with the right customers at the right time with the right message, providing them with essential tools like Salesforce data, past call context, and deal-winning content.

As a Sr. AI Engineer II, you will lead the development of production-grade generative AI applications that power Samsara’s Go-To-Market engine. This role involves working at the cutting edge of applied AI, generating high-quality outreach at scale, building copilots for sellers, and enabling voice and chat interfaces to enhance customer engagement. You will collaborate closely with revenue operations, sales leadership, product, and engineering teams, with the autonomy to innovate, test ideas, and scale impact across the company.

In this role, you will:

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

Minimum Requirements

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

An ideal candidate also has:

• Experience working on AI products in a sales, go-to-market, or revenue operations context.
• Familiarity with enterprise tools such as 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 including cost optimization, model evaluation, observability, and latency management.