Sr. AI Engineer
Job description
About the role
You will architect and own the end-to-end delivery of production-grade generative AI applications that power Samsara's Revenue Operations engine, directly shaping how sellers engage with customers. You will define the technical strategy for AI copilots that surface CRM insights and sales knowledge in real time to accelerate deal velocity. This role requires you to build scalable GenAI pipelines that generate high-quality outreach and dynamic content across the global sales funnel. You will collaborate cross-functionally with revenue operations, sales leadership, product, and infrastructure teams to translate business objectives into reliable AI workflows. You will experiment rapidly, measure impact rigorously, and iterate on models and prompts to improve conversion and engagement. As a leader of technical excellence, you will ensure that deployed AI solutions are performant, secure, and maintainable at scale. You will champion best practices in model development, prompt engineering, and data governance to set the standard for applied AI within the organization. Your work will have direct impact on critical industries that power the global economy, helping teams sell more effectively while improving operational outcomes.
Key facts
What you'll do
- Design and implement GenAI applications that enable sellers to find and connect with the right customers faster using advanced language models and retrieval techniques.
- Develop AI-powered copilots that surface real-time CRM insights, historical sales context, and recommended next actions within seller workflows.
- Build and deploy scalable inference pipelines that support high-throughput, low-latency generation of personalized outreach and content.
- Experiment with model architectures, prompt strategies, and retrieval-augmented generation (RAG) systems to optimize relevance, accuracy, and conversion.
- Collaborate with data scientists, product managers, and sales operations to translate business requirements into technical AI solutions.
- Integrate AI features deeply into Samsara's GTM stack, ensuring compatibility with Salesforce, outreach tools, and voice and chat interfaces.
- Improve efficiency and personalization across the sales funnel by launching AI features that automate repetitive tasks and augment human decision-making.
- Work hands-on across the full software stack, from model experimentation and prototyping to production app development and infrastructure monitoring.
- Partner with revenue operations and sales leadership to measure the business impact of AI initiatives and drive data-informed optimizations.
- Mentor and collaborate with cross-functional engineers to uphold code quality, reliability, and security in AI-driven products.
Requirements
- Bring 5 or more years of industry experience focused on software engineering, applied machine learning, or AI product development.
- Demonstrate a proven track record of building and deploying production-ready AI and machine learning applications in live environments.
- Show substantial experience with generative AI technologies including large language models, prompt engineering, embeddings, and retrieval-augmented generation (RAG) systems.
- Exhibit expert-level proficiency in Python, with a strong ability to write clean, scalable, and maintainable code for AI workloads.
- Display deep knowledge of machine learning frameworks, model serving infrastructure, and the tools required to operate AI systems in production.
- Highlight a history of owning end-to-end AI product responsibilities, from ideation through deployment, monitoring, and iteration.
- Demonstrate strong collaboration skills, working effectively with sales, product, and engineering stakeholders in a fast-paced, high-growth setting.
- Commit to working remotely from California in alignment with U.S. employment eligibility and regulatory requirements.
Nice to have
- Preferred experience with CRM platforms such as Salesforce and related integration ecosystems.
- Familiarity with voice and chat interface technologies that enable natural conversational experiences for sales teams.
- Background in sales operations, revenue enablement, or go-to-market technology domains.
- Experience building internal tools for sales teams that improve productivity and data-driven decision-making.
- Knowledge of compliance and data governance considerations for AI in enterprise sales environments.
Practical notes
This position is fully remote and open to candidates residing in the United States. The role operates in a fast-moving, high-growth environment where autonomy and ownership are expected. No specific working hours are mandated, but collaboration with cross-functional teams during standard business hours will be necessary. Travel is not required for this position. No visa sponsorship is available for this role. Applicants must meet all eligibility requirements without exception.