# Finance & Strategy AI Engineer

**Company**: Samsara
**Location**: San Francisco, SF9
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Salary**: $146,370-$246,000 USD
**Category**: Engineering
**Industry**: Technology

**Apply**: https://job-boards.greenhouse.io/samsara/jobs/8113356?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_b84697f9-1d7

## 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

## Skills

### Required
- Python
- SQL
- Databricks
- NetSuite
- Workday
- Adaptive
- Salesforce
- LLM applications
- prompt engineering
- data modeling
- query optimization

### Nice to have
- agentic systems
- orchestration frameworks
- tool use
- evaluation techniques
- high-growth or public company finance environment

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/samsara/jobs/8113356?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)