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Samsara

Finance & Strategy AI Engineer

San Francisco - SF9From $246kmidAdded yesterday

About this role

Samsara seeks a technically skilled engineer to build and operate the Finance & Strategy team's data foundation and AI systems. You'll design scalable pipelines connecting NetSuite, Workday, Adaptive, and Salesforce into a Databricks platform, while developing AI-powered automations for forecasting, planning, and reporting that drive strategic decision-making.

What you'll do

  • Architect and own the data foundation and AI roadmap for Finance & Strategy, including modeling strategy and identifying process gaps
  • Design, build, and maintain data pipelines and integrations across financial systems (Databricks, NetSuite, Workday, Adaptive, Salesforce) for seamless data flow
  • Develop agentic-first and AI-powered tools for forecasting, scenario planning, variance analysis, headcount planning, and management reporting
  • Lead cross-functional alignment on system workstreams spanning Finance, BizTech, PeopleOps, and Accounting teams
  • Maintain and evolve the existing Workday Adaptive Planning instance through the transition to new systems
  • Establish data quality standards, best practices, and enable Finance users through documentation, training, and technical support

What they're looking for

  • Data engineering and pipeline development (Databricks, ETL/ELT)
  • SQL and data modeling for financial systems
  • AI and machine learning application to business processes
  • Systems integration and API development
  • Cloud infrastructure and data platform architecture
  • Financial systems knowledge (NetSuite, Workday, Adaptive Planning, Salesforce)
  • Cross-functional project leadership and stakeholder management
  • Python or similar programming languages
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Samsara

Samsara builds an IoT operations platform that serves agriculture, construction, transportation, and manufacturing industries, with solutions for fleet management, safety, and efficiency across vehicle types. The company is hiring technical support engineers, sales engineers for public sector clients, solutions integration engineers, and software engineers to support its platform infrastructure and customer implementations.

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Likely interview questions

  • Describe your experience building data pipelines across multiple financial systems. What challenges did you encounter and how did you resolve them?
  • How have you approached implementing AI or automation in finance or planning processes? What was the impact?