People Analytics AI Engineer

Samsara’s People team is seeking a technically skilled builder to lead the development, implementation, and maintenance of the tools and systems that power our HR workflows and AI initiatives.

Our People team helps support Samsara by providing accessible, business-oriented HR guidance—achieved through creative problem-solving, excellence in execution, and ethical, empathetic partnership across the company. We cover many areas, from talent acquisition and onboarding to performance management, total rewards, employee relations, workforce planning, and everything in between, and we are powered by an innovative HR operations function that is focused on reimagining how people work gets done. We value intensity, pace, and curiosity—moving quickly to deliver clear, practical solutions while continuously improving how we support the business.

This Staff AI Engineer role sits directly within the People team and acts as the technical bridge between HR professionals, people operations, program managers and the people that build Samsara, You’ll design, develop, and operate secure, scalable applications, automations, and AI workflows that transform manual HR work into efficient, production-grade solutions. If you’re passionate about applying technology and AI to solve complex challenges and scale a modern people function, this is a unique opportunity to make a direct, measurable impact across People and the broader business.

This role is open to candidates residing in the US except the San Francisco Bay Metro Area, NYC Metro Area, and Washington, D.C. Metro Area.

You should apply if:

• You want to impact the industries that run our world: Your efforts will result in real-world impact – helping to keep the lights on, get food into grocery stores, reduce emissions, and most importantly, ensure workers return home safely.
• You are the architect of your own career: If you put in the work, this role won’t be your last at Samsara. We set up our employees for success and have built a culture that encourages rapid career development, countless opportunities to experiment and master your craft in a hyper growth environment.
• You’re energized by our opportunity: The vision we have to digitize large sectors of the global economy requires your full focus and best efforts to bring forth creative, ambitious ideas for our customers.
• You want to be with the best: At Samsara, we win together, celebrate together and support each other. You will be surrounded by a high-calibre team that will encourage you to do your best.

In this role, you will:

• Partner with People team members and cross-functional stakeholders (including IT and others) to design, build, and maintain HR tech solutions that enhance how we deliver people programs to the business, streamline HR workflows, improve data quality, and drive measurable productivity gains.
• Act as a key voice in roadmap planning, experimentation frameworks, and modeling strategy discussions.
• Identify gaps in data, tools, and processes — and lead initiatives to close them.
• Develop and deploy AI-powered tools and automations that transform core HR processes, such as employee self-service and HR intake, onboarding and offboarding, knowledge retrieval, workforce and headcount planning, performance and talent management, total rewards analysis, and document drafting, analysis, and translation.
• Integrate people systems with core enterprise platforms (e.g., Workday, Google Suite, Slack, Salesforce, Greenhouse) to ensure seamless data flow, scalability, and reliability.
• Evaluate and implement emerging technologies, staying current on advancements in AI, automation, and HR technology – and proactively identifying opportunities for innovation and efficiency.
• Enable and support end users—both People team members and employees across the business—through documentation, training, technical support, and troubleshooting to ensure adoption and smooth operation of all HR tech systems.
• Champion, role model, and embed Samsara’s cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as we scale globally and across new offices.

Minimum requirements for the role:

• Bachelor’s degree or comparable work experience.
• 8+ years of relevant experience with building and scaling production-grade enterprise applications and integrations, with strong software engineering fundamentals and the ability to independently design and deliver solutions with little or no technical guidance.
• Hands-on experience with large language model (LLM) applications, including prompt engineering, retrieval-augmented generation, and related AI workflows.
• Proficiency in coding in Python, particularly for scripting, data manipulation, and interacting with APIs.
• Experience with SQL or NoSQL databases, including data modeling and query optimization.
• Proficiency with low-code / no-code automation platforms (e.g., Workato, UiPath, Zapier), core enterprise platforms (e.g., Workday, Google Suite, Slack, Salesforce, ServiceNow), AWS and similar platforms, and data warehouses (e.g., Databricks, Snowflake, Google BigQuery, Amazon Redshift).
• Strong problem-solving mindset and curiosity about how technology, especially AI, can improve HR processes.
• Excellent collaboration and communication skills with both technical and non-technical stakeholders.
• Ability to translate complex business workflows into scalable, reliable technical solutions, delivering iterative improvements with measurable outcomes.

An ideal candidate also has:

• Strong product mindset with the ability to navigate ambiguity and deliver results in fast-paced, cross-functional environments.
• Experience working with HR technology or adjacent platforms such as HRIS, talent management, workforce planning, recruiting, and compensation tools (e.g., Workday, Greenhouse, Pave, Lattice, BritghtHire, GitHub, Cursor).
• Understanding of enterprise security, privacy, and data governance principles and how they apply to people systems and workflows—including sensitivity to handling employee data.
• Experience with fine-tuning smaller language models or a deep understanding of model evaluation techniques beyond prompt engineering.