Finance & Strategy AI Engineer

Samsara
San Francisco
Workplace: OnsiteFull timeUSD 146,370 - 246,000 annuallyFunction: Data Science & Machine LearningExperience: 8+ yearsEducation: bachelorsSkills: ["Collaboration","Communication","Problem-solving","Curiosity","Stakeholder management"]

Lead the Finance & Strategy team’s data foundation and AI roadmap, architecting how financial systems and data flow into a production-grade Databricks environment. Build and maintain secure pipelines and integrations across NetSuite, Workday, Adaptive, and Salesforce, and develop agentic-first AI workflows for forecasting, scenario planning, variance analysis, and management reporting. Partner cross-functionally to resolve priorities, formalize data modeling best practices, and improve close-cycle time and forecast accuracy.

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FursaFursa
Samsara
Samsara
1 day ago

Finance & Strategy AI Engineer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 6 hours agoStatus: Live

Job Summary

Lead the Finance & Strategy team’s data foundation and AI roadmap, architecting how financial systems and data flow into a production-grade Databricks environment. Build and maintain secure pipelines and integrations across NetSuite, Workday, Adaptive, and Salesforce, and develop agentic-first AI workflows for forecasting, scenario planning, variance analysis, and management reporting. Partner cross-functionally to resolve priorities, formalize data modeling best practices, and improve close-cycle time and forecast accuracy.
Location: San Francisco
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Own the Finance & Strategy data foundation and AI roadmap, including modeling strategy and gap identification while maintaining Workday Adaptive Planning during transition.
  • •Design, build, and maintain pipelines and integrations connecting financial systems (e.g., Databricks, NetSuite, Workday, Adaptive, Salesforce) for scalable, reliable data flow.
  • •Build agentic-first close and extend AI-powered forecasting, scenario planning, variance/driver analysis, headcount/workforce planning, and management reporting tools.
  • •Lead cross-functional alignment across Finance, BizTech, PeopleOps, Accounting, and beyond on system workstreams and shared decisions.
  • •Evaluate emerging technologies and formalize governance, data modeling best practices, and access controls to drive adoption and measurable impact.

Pay and Benefits

Salary: USD 146,370 - 246,000 annually
Equity and Bonus:Equity
Perks:Health InsuranceParental LeaveRemote WorkLearning BudgetRsus

Key Requirements

  • •Bachelor’s degree in Computer Science/Engineering, Information Systems, Finance/Accounting, or comparable work experience.
  • •8+ years building and scaling production-grade data pipelines, integrations, and enterprise applications with strong engineering fundamentals.
  • •Hands-on experience building LLM applications, including prompt engineering, retrieval-augmented generation, agentic workflows, and evaluation.
  • •Proficiency coding in Python, including scripting, data manipulation, and interacting with APIs.
  • •Experience with SQL databases (data modeling and query optimization) and data platforms/warehouses (e.g., Databricks, Snowflake, BigQuery, Redshift).
Experience:8+ yearsEnterprise applications
Education:Bachelor's
Skills:CollaborationCommunicationProblem-solvingCuriosityStakeholder management
Tech Stack:PythonSQLAPIsDatabricksSnowflakeBigQueryRedshiftNetSuiteWorkdayAdaptiveSalesforceGoogle SuiteSlackLLMPrompt engineeringRetrieval-augmented generationAgentic workflowsData modelingQuery optimizationAutomation

Company Brief

Samsara
Provides an integrated IoT platform combining hardware sensors, cameras, and cloud-based software to help businesses monitor vehicles, equipment, and operations for fleet management, safety, compliance, and operational efficiency.
Industry: Supply Chain Technology
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: San Francisco, United States
Founded: 2015
WebsiteLinkedIn