About the role:

Samsara is seeking a highly skilled and experienced Finance & Strategy Manager to lead our management of Cloud, Cell, and SaaS Infrastructure costs. Samsara is a cloud-native SaaS solution for physical operations and infrastructure efficiency is critical to our ability to continue to grow and scale our business. You will partner with leaders across our Engineering organization to set and achieve efficiency goals that directly impact corporate-level financial performance. You will drive quantitative and qualitative analysis to inform strategic decisions and identify optimization opportunities. You will support corporate financial goals by driving forecast models and providing accurate guidance to our leaders and investors.

This role is open to candidates residing in the US except Alaska, Austin metro, California, Chicago metro, Connecticut, Dallas metro, Denver metro, Houston metro, Maryland, Massachusetts, New Jersey, New York, Rhode Island, Washington, and Washington DC metro.

You should apply if:

• You want to impact the industries that run our world: Your efforts will result in real-world impact—helping to keep the lights on, get food into grocery stores, reduce emissions, and most importantly, ensure workers return home safely.
• You are the architect of your own career: If you put in the work, this role won’t be your last at Samsara. We set up our employees for success and have built a culture that encourages rapid career development, countless opportunities to experiment and master your craft in a hyper growth environment.
• You’re energized by our opportunity: The vision we have to digitize large sectors of the global economy requires your full focus and best efforts to bring forth creative, ambitious ideas for our customers.
• You want to be with the best: At Samsara, we win together, celebrate together and support each other. You will be surrounded by a high-calibre team that will encourage you to do your best.

In this role, you will:

• Lead and develop Samsara’s approach to infrastructure cost management including partnering with a vendor to build a cloud FinOps reporting, alerting, and forecasting tool
• Partner closely with leaders across our R&D Engineering teams to drive strategic decision-making, investment prioritization, and long-range planning
• Develop COGS and operating expense forecast models driven by infrastructure usage
• Manage multiple >$1M software vendors including forecasting and contract renewal negotiation support
• Build and monitor KPIs to inspect business health and performance
• Analyze financial results, prepare monthly and quarterly management reporting, and support operating review meetings with VPs and EVPs of Engineering and Finance
• Build scalable processes and mechanisms to enhance financial visibility, control and planning effectiveness that supports the next wave of Samsara’s growth
• 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 Finance, Accounting, Business Administration, or a related field
• Experience partnering with R&D / Software Engineering teams
• Minimum of 4-7+ years of experience in Corporate Finance, financial planning and investigation, and strategic finance experience
• Familiarity with cloud cost management and knowledge of cloud cost and usage concepts
• Proven experience in financial modeling, forecasting, and budgeting
• Strong accounting knowledge with experience working closely with accounting teams
• Excellent evaluation, problem-solving, and critical-thinking skills

An ideal candidate also has:

• AWS Cloud Practitioner or FinOps certifications
• Willingness and ability to build new financial processes and mechanisms
• Ability to thrive in a fast-growing environment with high degrees of ambiguity
• Familiarity with ERP systems (e.g., Adaptive Planning, NetSuite, Salesforce, Workday, etc.)
• Experience working with large datasets and technical data management and analysis skills (e.g., SQL, Tableau, Databricks, etc.)