About the Role
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 Senior Software Engineer, AI Platform, you’ll lead the design and development of core platform capabilities that power Samsara’s next generation of AI-driven experiences. You’ll focus on building scalable, reliable systems that enable multi-step AI workflows, model execution, and integrations across products, rather than individual features. This role sits at the intersection of distributed systems and applied AI, where correctness, extensibility, and operational excellence matter as much as speed.
You’ll partner closely with AI engineers, backend engineers, and cross-functional teams to shape shared execution patterns, define platform contracts, and evolve the foundations that support S+Engine and future AI use cases. You’ll be empowered to make architectural decisions, move fast on early iterations, and help turn emerging AI capabilities into a durable, production-grade platform that other teams can build on with confidence.
In this role, you will:
- Build and evolve core AI platform capabilities that enable teams to develop, run, and scale GenAI-powered applications across Samsara.
- Design and implement shared execution patterns, APIs, and services that support multi-step AI workflows and system integrations.
- Develop reliable, extensible backend systems that power AI-driven experiences used across the sales funnel and beyond.
- Work hands-on across the stack, from backend services and execution infrastructure to integration with AI models and tooling.
- Collaborate closely with AI engineers, data scientists, product partners, and sales operators to turn emerging AI use cases into production-ready platform capabilities.
Minimum Requirements:
- 6+ years of professional software engineering experience (excluding internships/contract roles), with a strong emphasis on building and operating large-scale, production backend or platform systems.
- Hands-on experience building and operating GenAI-powered systems in production, including integration with large language models (LLMs) or similar AI services.
- Experience designing or implementing GenAI workflows such as prompt orchestration, tool execution, routing, or multi-step reasoning pipelines.
- Proven experience designing and implementing distributed systems that support multi-step execution, asynchronous workflows, and well-defined service contracts.
- Strong proficiency in backend programming languages (e.g., Python, Java, Go, or similar) and experience building reliable services with clear input/output schemas.
- Expert in Python and GenAI frameworks (e.g., LangChain, OpenAI SDK, MCP, etc.).
- Familiarity with GenAI quality and safety considerations, such as validation of model outputs, structured responses, retries/fallbacks, and basic evaluation or monitoring approaches.
- 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).
An ideal candidate also has:
- 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.