Finance & Strategy AI Engineer

About the 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. You will design, develop, and maintain the pipelines and integrations connecting Samsara's financial systems to ensure seamless data flow, scalability, and reliability. You will transform fragmented financial data from NetSuite, Workday, Adaptive, and Salesforce into a modern Databricks foundation that powers production-grade, decision-ready systems. You will own and support the existing Workday Adaptive Planning instance through its transition, ensuring continuity and reliability for the business. You will set modeling strategy and identify gaps in data, tools, and processes while closing them with precision and ownership. You will act as the critical technical bridge between Finance & Strategy, BizTech, PeopleOps, Accounting, and systems owners across the organization. You will move quickly to deliver practical solutions while continuously raising the bar on what Finance can do with its data. You will be energized by applying data engineering and AI to transform how the Finance & Strategy team utilizes data at scale.

Key facts

What you'll do

• Analyze and define the future state of Finance & Strategy's data foundation and AI systems, setting a clear roadmap and execution plan.
• Design, develop, and operate secure, scalable applications, pipelines, automations, and AI workflows that transform fragmented financial data into actionable insights.
• Own the end-to-end data lifecycle for Finance & Strategy, including ingestion, transformation, modeling, and delivery of decision-ready datasets.
• Partner with data engineers and systems owners to integrate NetSuite, Workday, Adaptive, Salesforce, and Databricks into a cohesive data ecosystem.
• Maintain and evolve the existing Workday Adaptive Planning instance, ensuring reliability, performance, and continuity during the transition.
• Collaborate closely with the Finance & Strategy team to translate business requirements into technical specifications and data models.
• Implement monitoring, observability, and data quality frameworks to ensure pipelines and AI workflows are robust and reliable.
• Lead scoping, prioritization, and delivery of data and AI initiatives in partnership with BizTech, PeopleOps, Accounting, and cross-functional stakeholders.
• Mentor and enable business stakeholders to leverage data tools effectively, fostering a culture of data-driven decision-making.
• Continuously evaluate emerging AI and data engineering techniques to improve forecasting, planning, analysis, and reporting for leadership.

Requirements

• You are legally authorized to work in the United States for this role, and Samsara is unable to sponsor work authorization for this role at this time.
• You are an experienced data engineer, data architect, or AI engineer with a strong background in building and operating data platforms.
• You have hands-on experience with modern data stack technologies including Databricks, NetSuite, Workday, Adaptive, and Salesforce.
• You have demonstrated ability to design, develop, and maintain scalable, secure data pipelines and applications in production environments.
• You are proficient in SQL, Python, and modern data engineering tools, with a strong understanding of data modeling, warehousing, and integration patterns.
• You have experience working with financial data and understand the nuances of finance systems, reporting, and compliance requirements.
• You have a track record of collaborating with business stakeholders to deliver data solutions that drive measurable impact.
• You are comfortable operating in a fast-paced, hyper-growth environment where priorities evolve rapidly and ownership is critical.

Nice to have

• Experience with AI and machine learning workflows and frameworks relevant to finance and forecasting.
• Familiarity with best practices for data governance, security, and regulatory compliance in financial contexts.
• Background in logistics, transportation, field services, or other industries that rely on physical operations.
• Experience mentoring non-technical stakeholders and enabling data literacy across the organization.

Practical notes

This role is open to candidates residing in the US. You should apply if you are legally authorized to work in the United States for this role, and Samsara is unable to sponsor work authorization for this role at this time.