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Job Description
The role involves developing and deploying generative AI applications to enhance Samsara's sales and revenue operations, including building AI-powered tools, copilots, and features that improve customer engagement, personalization, and sales efficiency in a fast-paced, remote environment.
Key Responsibilities
- Build generative AI tools to enhance sales outreach and customer engagement
- Develop AI-powered copilots that provide real-time CRM insights and sales knowledge
- Launch AI features to improve sales efficiency and personalization
- Work across the full AI development stack, including model experimentation, application development, and infrastructure
- Collaborate with engineers, data scientists, and sales teams to implement 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, and retrieval-augmented generation (RAG) systems.
- Expertise in Python programming and experience with Generative AI frameworks such as LangChain, OpenAI SDK, MCP, or similar.
- 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 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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