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Job Description
This role involves developing and deploying generative AI applications to enhance Samsara's sales and revenue operations, including building AI-powered tools and copilots to improve customer engagement and sales efficiency in a remote, fast-paced environment.
Key Responsibilities
- Build generative AI tools to help sales teams find and connect with customers faster.
- Develop AI-powered copilots that surface CRM insights and sales knowledge in real time.
- Launch AI features to improve efficiency and personalization across the sales funnel.
- Work across the stack from model experimentation to application development and infrastructure.
- Collaborate with engineers, data scientists, and sales teams to deploy AI solutions.
Requirements
- Minimum of 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 such as large language models (LLMs), prompt engineering, embeddings, or Retrieval-Augmented Generation (RAG) systems.
- Expertise in Python programming and familiarity with Generative AI frameworks such as LangChain, OpenAI SDK, MCP, etc.
- Experience developing backend systems and APIs, and working closely with product and design teams to ship customer-facing features.
- Strong product sense and ability to work effectively in fast-paced, cross-functional environments.
- Located in and authorized to work in the United States; this is a fully remote role.
- Experience working on AI products in a sales, go-to-market, or revenue operations context (preferred).
- Familiarity with enterprise tools like Salesforce, Gong, Outreach, or similar CRM enablement platforms (preferred).
- Experience integrating with vector databases, retrieval systems, or streaming voice chat pipelines (preferred).
- A track record of leading major technical initiatives or mentoring engineers in high-growth teams (preferred).
- Exposure to infrastructure considerations such as cost optimization, model evaluation, observability, and latency management (preferred).
Benefits & Perks
Competitive total compensation package
Employee-led remote and flexible working
Health benefits
Flexible working model including remote, hybrid, and in-office options
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