Director, FP&A (R&D) for AI/ML SaaS Growth

EvenUp; San Francisco (CA); On-site; USD 176,000 - 250,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

Home office stipend

401(k) / RRSP

Job summary

EvenUp is seeking a Director of FP&A, R&D to partner with Engineering, Product and Data/ML leaders, owning the R&D operating plan and modeling LLM economics.

You will manage the P&L for R&D headcount and Cost of Revenue for AI in production, driving efficiency, and engaging with data stack and cloud vendor negotiations. You will deliver concise, board-ready reporting and tie spend to build priorities.

Qualifications

• 8+ years in FP&A / corporate finance, with meaningful time supporting R&D, Engineering, or a technical/product org.
• Deep comfort with SaaS and AI/usage-based economics: CoR, gross margin, unit economics.
• Strong SQL (BigQuery a major plus) and expert Excel/Sheets modeling.
• Ability to be a genuine partner to technical leaders, translating technical work into financial views.
• Nice to have: experience at a high-growth AI/ML company and familiarity with modern data stacks (dbt).

Responsibilities

• Partner day to day with engineering, product, and data leaders as their trusted finance counterpart.
• Build analyses that shape build-vs-buy, pricing, and infrastructure decisions.
• Support foundation-model and cloud vendor negotiations with data-backed positions.
• Deliver clear, concise reporting and variance commentary to the CFO and board.
• Own the R&D budget, forecast, and headcount plan across Engineering, Product, and Data/ML.
• Monitor unit costs and defend efficiency with engineering to tie spend to output.
• Model the margin impact of new products, pricing changes, and API contracts.

Skills

SaaS economics

AI/ML cost economics

SQL (BigQuery)

Excel modeling

Cross-functional partnership

Education

CPA/CA/CFA (nice to have)

Tools

dbt

Job description

EvenUp is seeking a Director of FP&A, R&D to partner with Engineering, Product and Data/ML leaders, owning the R&D operating plan and modeling LLM economics.

You will manage the P&L for R&D headcount and Cost of Revenue for AI in production, driving efficiency, and engaging with data stack and cloud vendor negotiations. You will deliver concise, board-ready reporting and tie spend to build priorities.