Description
Samsara's Finance & Strategy team is seeking a technically skilled builder to lead the development, implementation, and maintenance of Finance's data foundation and AI systems.
The ideal candidate will have experience building and scaling production-grade data pipelines, integrations, and enterprise applications, with strong engineering fundamentals and the ability to independently design and deliver solutions with little or no technical guidance.
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 identifying and closing gaps in data, tools, and processes
- Design, build, and maintain the pipelines and integrations connecting Samsara's financial systems (e.g., Databricks, NetSuite, Workday, Adaptive, Salesforce) to ensure seamless data flow, scalability, and reliability
- Build Samsara's agentic-first close, and extend AI-powered tools and automations across core finance processes , forecasting and scenario planning, variance and driver analysis, headcount and workforce planning, and management reporting
- Lead cross-functional alignment across Finance, BizTech, PeopleOps, Accounting and beyond on system workstreams that span teams , resolving competing priorities and driving shared decisions
- Evaluate and implement emerging technologies, staying current on advancements in AI, automation, and data infrastructure, and proactively identifying opportunities for innovation and efficiency
Requirements:
- Bachelor's degree in Computer Science/Engineering, Information Systems, Finance/Accounting, or comparable work experience
- 8+ years of relevant 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 coding in Python, particularly for scripting, data manipulation, and interacting with APIs
- Experience with SQL databases, including data modeling and query optimization
- Experience with data platforms and warehouses (e.g., Databricks, Snowflake, BigQuery, Redshift), and with the enterprise systems that feed them (e.g., NetSuite, Workday, Adaptive, Salesforce, Google Suite, Slack)
Benefits:
- Flexible working model
- Professional development stipend
- Comprehensive health and parental leave plans
- Equity (for eligible roles)
- Above-market total compensation