Thinking Machines Lab
Strategic Finance Director
San Francisco, CA · Director
H1B sponsorship available$275k-$325kDetected 21 days ago
SQLPyTorchData VisualizationFinancial ModelingAccountingForecastingBudgetingExcelFP&ALogisticsLeadershipCommunicationPublic Speaking
About the role
- As a member of our Strategic Finance / FP&A team, you will operate at the core of our finance organization, driving the financial strategy for major functional domains (e.g., Compute & Infrastructure, Go-to-Market, Product).
- This role is ideal for someone who thrives in fast-paced, ambiguous environments, has deep analytical rigor, strong business partnership skills, and is excited to make a meaningful contribution to scaling a technology business.
Responsibilities
- Develop, own and maintain financial models (P&L, operating model, scenario modelling) to support planning, forecasting, and strategic decision-making.
- Partner cross-functionally with business stakeholders (e.g., engineering, product, sales, marketing, infrastructure) to understand drivers, demand, capacity, against financial targets.
- Provide financial guidance on major investment decisions: build business cases (e.g., expand capacity, build vs. buy, launch new product, entering new market), quantify ROI, present recommendations to senior leadership and/or Board.
- Develop and monitor key metrics and dashboards (e.g., unit economics, cost trends, efficiency, productivity, capacity utilisation) and drive insights and optimization.
- Partner with accounting and other finance functions to ensure alignment of financial planning with the broader company's financial framework and strategy.
- You will build and maintain sophisticated financial models, analyze business performance and investment trade-offs, partner closely with leaders across the business, and deliver executive-level presentations to inform decision-making.
Requirements
- 10+ years of experience in strategic finance, corporate finance, FP&A, investment banking, consulting, growth/private equity, or an equivalent high-growth technology environment
- Proven expertise in financial modelling and forecasting
- Strong business partnering skills: ability to work with non-finance leaders, translate complex financial data into actionable business insights, influence leadership decisions.
- skilled at building detailed P&Ls, operating models, scenario analyses.
- Logistics
- Compensation: Depending on background, skills and experience, the expected annual salary range for this position is $275,000 - $325,000
- Visa sponsorship: We sponsor visas. While we can't guarantee success for every candidate or role, if you're the right fit, we're committed to working through the visa process together.
- Benefits: Thinking Machines offers generous health, dental, and vision benefits, unlimited PTO, paid parental leave, and relocation support as needed.
- As set forth in Thinking Machines' Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.
Skills
- High comfort with ambiguity, rapid change, and scaling-up environments.
- Excellent communication skills, both verbal and written, able to craft compelling narratives and presentations for executives/Board.
- Familiarity with SQL, BI tools (e.g., Tableau, Looker) and advanced Excel/Google Sheets proficiency.
- Experience with AI or R&D-heavy companies is a major plus.
- Thinking Machines Lab's mission is to empower humanity through advancing collaborative general intelligence.
Compensation
- Depending on background, skills and experience, the expected annual salary range for this position is $275,000 - $325,000
- Lead budgeting and quarterly/annual forecasting processes
Benefits
- Thinking Machines offers generous health, dental, and vision benefits, unlimited PTO, paid parental leave, and relocation support as needed.
Visa & Work Authorization
- While we can't guarantee success for every candidate or role, if you're the right fit, we're committed to working through the visa process together.
- We sponsor visas.
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This listing is sourced directly from Thinking Machines Lab's careers page and normalized into a canonical job model.