Strategic Finance Associate

Atomic Machines is building the Matter Compiler™, the first in a new class of AI-native, all-digital manufacturing systems that build working machines directly from code. The Matter Compiler™ is aimed at micro-machines: motors and gears the size of a grain of sand, robots small enough to work inside the body, cooling built directly into the chips that run AI, and the many devices like them that have been waiting on a way to build them. Its first product is PrimeSwitch™, an electromechanical power relay the size of a button battery that carries 150 amps continuous current and opens in 50 microseconds, about a thousand times faster than a conventional contactor. Founded by Jeff Holden — serial entrepreneur, ex-Amazon SVP and Uber’s first Chief Product Officer — the company has raised $250 million to date.   Atomic Machines is based in the San Francisco Bay Area, with offices in Emeryville and Santa Clara.

About The Role:

The Strategic Finance Senior Associate will be a foundational member of our finance team, partnering directly with Operations, Engineering, Go-to-Market, and senior leadership to build the financial infrastructure and models that power our most important decisions. This role works cross-functionally with business leaders to plan the business, partner on execution, and drive accountability. You will guide decisions on resource allocation and cost optimization, building the scenario analyses and models that ensure capital is deployed with discipline and aligned to our highest-impact priorities.

You will report directly to the Head of Strategic Finance, and collaborate with leadership across the organization. As the function matures, this role has a natural path toward owning this discipline across the company and its multiple production sites.

What You’ll Do:

• Translate strategic business decisions and operational investment opportunities into financial terms leadership can act on.
• Track execution against plan across active programs, working with the PMO to surface new opportunities and flag timing or capital risk.
• Own unit economics across the portfolio, tracking cost per unit and contribution margin as production scales and yield improves.
• Help define finance reporting requirements and data needs in partnership with data engineering, ensuring cross-functional plans are reflected accurately in shared dashboards and tools.
• Collaborate with the data and operations teams to define the metrics, data requirements, and dashboard structure for the operational finance reporting layer.
• Prepare board and investor facing materials.

What You’ll Need:

• 4+ years of experience in strategic finance, investment banking, consulting, or growth investing, with at least 2 years in industry at a hardware manufacturing company
• Bachelor's degree in a STEM or highly analytical field.
• Operational experience at a fast-paced, high-growth technology company strongly preferred.
• Expert financial modeling skills and fluency with AI tools.
• Strong analytical rigor and the ability to critically evaluate opportunities and risks in financials.
• Excellent communication and storytelling ability - can translate complex models and datasets into concise narratives, visuals, and recommendations for executives.

Bonus Points For:

• Background in AI, ML, or cloud infrastructure economics.
• Experience using AI tools to automate finance workflows.
• Experience in advanced manufacturing, aerospace, defense, hardware, or automotive.
• Pre-IPO or high-growth company experience - you are comfortable building analytical infrastructure without mature systems around you.

The compensation for this position also includes equity and benefits.

Salary Range$155,000—$180,000 USD

Atomic Machines is an equal opportunity employer that values diversity and does not discriminate based on characteristics protected by applicable law. We are committed to an inclusive interview experience, including for individuals with disabilities. To request an accommodation, contact rc@atomicmachines.com. To help our recruiting team manage application volume and respond to candidates more efficiently, Atomic Machines may use AI-assisted tools.