People Analytics AI Engineer

Samsara is a pioneer of the Connected Operations™ Cloud, enabling organizations to harness IoT data for improved operations. The People Analytics AI Engineer will lead the development and implementation of HR tech solutions, focusing on AI initiatives to enhance HR workflows and drive productivity gains.

Responsibilities:

• 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

Requirements:

• 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
• 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