Finance & Strategy AI Engineer
Samsara· Finance and Strategy
Hybrid (San Francisco, CA)$146.4k - $246kFull-timePosted 2mo ago
About the role
Samsara seeks a technically skilled AI/data engineer to lead development and maintenance of Finance’s data foundation and AI systems, transforming financial data from multiple sources into a production-grade Databricks-based environment and supporting Workday Adaptive Planning. The role combines data engineering, AI workflows, and partnership with Finance, BizTech, PeopleOps, and Accounting to improve forecasting, planning, analysis, and reporting.
Responsibilities
- Own the data foundation and AI roadmap for Finance & Strategy — architecting the future state of Samsara's financial data and systems landscape, setting modeling strategy, and closing data/tool/process gaps while maintaining the Workday Adaptive Planning instance during transition
- Design, build, and maintain pipelines and integrations connecting financial systems (e.g., Databricks, NetSuite, Workday, Adaptive, Salesforce) for seamless data flow, scalability, and reliability
- Build agentic-first close and extend AI-powered tools and automations across core finance processes — forecasting and scenario planning, variance and driver analysis, headcount/workforce planning, and management reporting
- Lead cross-functional alignment across Finance, BizTech, PeopleOps, Accounting and beyond on system workstreams that span teams
- Evaluate and implement emerging technologies, stay current on AI, automation, and data infrastructure innovations, identify opportunities for efficiency
- Formalize data modeling and infrastructure best practices, enable end users via documentation, training, support, and troubleshooting
- Build with governance in mind — data quality standards and access controls, measure impact on close cycle time and forecast accuracy
- Champion Samsara’s cultural principles in scale and global expansion
Qualifications
- Bachelor's degree in Computer Science/Engineering, Information Systems, Finance/Accounting, or comparable work experience
- 8+ years of experience building and scaling production-grade data pipelines, integrations, and enterprise applications
- Hands-on experience with large language model (LLM) applications, including prompt engineering, retrieval-augmented generation, agentic workflows, and evaluation
- Proficiency in Python for scripting, data manipulation, and API interactions
- Experience with SQL databases, data modeling and query optimization
- Experience with data platforms/warehouses (e.g., Databricks, Snowflake, BigQuery, Redshift) and with enterprise systems (e.g., NetSuite, Workday, Adaptive, Salesforce, Google Workspace, Slack)
- Working knowledge of financial planning, forecasting, and close processes
- Excellent collaboration and communication skills with technical and non-technical stakeholders
Skills
Required:Data modelingPythonSQLDatabricksWorkday Adaptive PlanningLLM applicationsCross-functional collaboration
Benefits
- Total Rewards including base salary, bonus/variable pay, and equity (where eligible)
- Flexible, employee-led remote model; professional development stipend; comprehensive health and parental leave plans
Last updated Oct 10, 2026. Interested? Apply on the company site.
About Samsara
Samsara | The Connected Operations Platform
Samsara's connected operations platform helps 20,000+ operations improve safety, cut costs, and run smarter — built with operators.
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