Finance & Strategy AI Engineer
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About the role
You should apply if
You want to impact the industries that run our world
You are the architect of your own career
You’re energized by our opportunity
You want to be with the best
In this role, you will
- 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, while also maintaining and evolving the existing Workday Adaptive Planning instance, ensuring reliability and continuity for the business through the transition
- 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
- Formalize best practices in data modeling and infrastructure, and enable end users through documentation, training, technical support, and troubleshooting to drive adoption across the Finance org
- Build with governance in mind - establishing data quality standards and access controls - holding the work accountable to measurable impact on close cycle time and forecast accuracy
- Champion, role model, and embed Samsara's cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as we scale globally and across new offices
Minimum requirements for the role
- 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, with strong engineering fundamentals and the ability to independently design and deliver solutions with little or no technical guidance
- 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)
- Working knowledge of financial planning, forecasting, and close processes to partner credibly with finance stakeholders and translate their workflows into scalable, reliable technical solutions
- Excellent collaboration and communication skills with both technical and non-technical stakeholders, including comfort presenting to senior management
An ideal candidate also has
- Strong problem-solving mindset and curiosity about applying AI to finance processes, with a track record of delivering iterative improvements and measurable outcomes
- Experience building agentic systems in production - orchestration frameworks, tool use, and evaluation techniques beyond prompt engineering
- Experience in a high-growth or public company finance environment, where reporting and compliance demands evolve quickly
- Ability to thrive in a fast-growing environment with high degrees of ambiguity
The compensation range shown spans approved pay zones for this role. Your primary work location determines the range applicable to you, which may be narrower than the full range displayed.
The range of annual base salary for full-time employees for this position is below. Please note that base pay offered may vary depending on factors including your city of residence, job-related knowledge, skills, and experience. This role is also eligible for an initial RSU grant with no vesting cliff, and ongoing refresh opportunities tied to performance, subject to plan terms and conditions. Learn more about our total rewards and benefits below.
Annual Base Salary $146,370 - $246,000 USD
Total Rewards
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