People Analytics AI Engineer

About the Role

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.

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 engineering teams. You’ll design, develop, and operate secure, scalable applications, automations, and AI workflows that transform manual HR work into efficient, production-grade solutions.

*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.*

Responsibilities

• Partner with People team members and cross-functional stakeholders (including IT and others) to design, build, and maintain HR tech solutions that enhance people programs, 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.
• Enable and support end users through documentation, training, technical support, and troubleshooting to ensure adoption and smooth operation of all HR tech systems.

Minimum Requirements

• Bachelor’s degree or comparable work experience.
• 8+ years of relevant experience building and scaling production-grade enterprise applications and integrations, with strong software engineering fundamentals.
• Hands-on experience with large language model (LLM) applications, including prompt engineering, retrieval-augmented generation (RAG), and related AI workflows.
• Proficiency 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, core enterprise platforms (e.g., Workday, Slack, Salesforce, ServiceNow), AWS, and data warehouses (e.g., Databricks, Snowflake, Google BigQuery, Amazon Redshift).
• Strong problem-solving mindset and curiosity about how AI can improve HR processes.
• Excellent collaboration and communication skills with technical and non-technical stakeholders.
• Ability to translate complex business workflows into scalable, reliable technical solutions.

Preferred Qualifications

• Strong product mindset with the ability to navigate ambiguity and deliver results in fast-paced environments.
• Experience working with HR technology or adjacent platforms (e.g., Workday, Greenhouse, Lattice, GitHub).
• Understanding of enterprise security, privacy, and data governance principles applicable to employee data.
• Experience fine-tuning smaller language models or understanding model evaluation techniques beyond prompt engineering.