You'll be the person who:

Owns and drives the full planning cycle,annual operating plans, quarterly forecasts, rolling projections, and long-range strategic planning tailored to AI research timelines (spoiler: annual budgets don't work)

Builds sophisticated financial models covering multiple revenue streams (API, Enterprise, Playground), GPU compute economics, headcount planning, and cash flow across US and German entities

Delivers monthly and quarterly business reviews with variance analysis, KPIs, and actionable insights that support executive planning and board reporting

Leads scenario planning for decisions most companies don't face: GPU provider contracts, go-to-market expansion, pricing frameworks, and R&D investment allocation where one breakthrough hire might 10x capabilities

Partners with GTM leadership on revenue forecasting when your 'pipeline' includes researchers, startups, and Fortune 500s with completely different economics

Collaborates with Engineering on GPU compute optimization and infrastructure planning where the input is 'we need more GPUs' and your job is figuring out how many, when, and from which providers

Builds executive dashboards tracking what actually matters: ARR growth, customer cohort economics, gross margins, burn rate, and the relationship between model quality and infrastructure cost

Designs scalable FP&A processes and drives automation across financial planning,working with Accounting to ensure data integrity and reporting consistency

Supports high-impact strategic initiatives: pricing optimization, enterprise contract structuring, customer segmentation economics, and fundraising support

Questions We're Wrestling With:

How do you forecast revenue when your models are simultaneously open source and commercial, free tier and enterprise?

What's the right balance between investing in cutting-edge research (expensive, uncertain) and scaling known winners (profitable, competitive)?

What do healthy gross margins look like when your COGS is GPU compute and infrastructure optimization is a competitive advantage?

How do you plan headcount when breakthrough hires in research might exponentially increase capabilities?

How do you structure pricing as customers move from experimentation to production at scale?

What financial frameworks work for a German company scaling globally with US operations?

Who Thrives Here:

You've built FP&A in high-growth environments where 'best practices' are still being written. You're equally comfortable building three-statement models from scratch as you are explaining complex tradeoffs to non-finance stakeholders. You understand that perfect forecasts are impossible, but disciplined planning is essential. You move fast, think in systems, and know when precision matters versus when directional clarity is enough.

You likely have:

6-10 years in FP&A, corporate finance, investment banking, or strategic finance, with at least 4 years hands-on FP&A experience at a high-growth company

Proven track record owning full planning cycles (annual budgeting, quarterly forecasts, long-range planning) at a B2B SaaS, AI, or technology company

Advanced Excel/Google Sheets modeling skills,you build complex financial models from first principles, not templates

Fluency in SaaS metrics (ARR/MRR, NDR, CAC, LTV, payback period, gross margin, Rule of 40) and ideally consumption-based pricing models

Experience with modern finance tech stack and genuine curiosity about AI-powered finance workflows versus legacy systems

Comfort with international operations, multi-entity financial structures, and US GAAP

Ability to work with large datasets, perform deep variance analysis, and build dashboards that executives actually use

We'd be especially excited if you:

Have experience with usage-based or consumption revenue models, API pricing structures, or GPU/cloud infrastructure economics

Understand subscription economics alongside usage-based pricing in technical or developer-focused markets

Bring exposure to enterprise contract structuring and technical sales processes

Have worked somewhere that scaled 3-5x and had to rebuild planning processes mid-flight

Are intellectually honest about uncertainty,you can say 'here's what we don't know yet' without flinching

How We Work Together:

We're a distributed team with real offices that people actually use. Depending on your role, you'll either join us in Freiburg or SF at least 2 days a week (or one full week every other week), or work remotely with a monthly in-person week to stay connected. We'll cover reasonable travel costs to make this possible. We think in-person time matters, and we've structured things to make it accessible to all. We'll discuss what this will look like for the role during our interview process.

Everything we do is grounded in four values:

Obsessed. We are a frontier research lab. The science has to be right, the understanding deep, the product beautiful.

Low Ego. The work speaks. The best idea wins, no matter who said it. Credit is shared. Nobody is above any task.

Bold. We take the ambitious bet. We ship, we do not wait for conditions to be perfect.

Kind. People over politics. We treat each other with genuine warmth. Agency without empathy creates chaos.

What We're Building Toward:

We're not just tracking expenses,we're building the financial architecture that enables a frontier AI company to make disciplined decisions at breakthrough speed. Every model you build gives leadership better visibility. Every process you implement accelerates decision-making. Every scenario you analyze shapes how we allocate resources between growth and efficiency, research investment and commercialization. If that sounds more compelling than optimizing existing budgets, we should talk.

XML job scraping automation by YubHub

Financial Planning & Analysis: Develop budgets and forecasts, monitor budget vs. actuals, and build dashboards for key metrics (e.g. revenue growth, burn rate, GTM metrics, etc.).

Accounting & Bookkeeping: Own the monthly close process, ensure our financial records are accurate and GAAP-compliant, and manage invoices, payables, and receivables.

Cash Management: Track cash runway and working capital. Advise leadership on fundraising needs and timing based on cash flow projections.

Strategic Partnership: Work closely with the CEO and COO on financial strategy and scenario planning. Provide analysis to support major decisions (pricing, hiring, market expansion) and challenge assumptions with data.

Operational Build-out: Implement finance tools/software as needed (e.g. QuickBooks, expense management, financial modeling in Google Sheets). Establish internal controls and financial policies to enable scalable growth.

Investor & Board Reporting: Prepare monthly/quarterly financial reports and forecasts for our board and investors. Support future fundraising by owning data room prep, due diligence requests, etc.

We're looking for someone with 5+ years of experience in a finance role, 3+ years of experience in-house at a B2B SaaS startup, and a generalist finance skillset. You should have a strategic business mindset and understanding of key business drivers, comfort with ambiguity, and the ability to challenge and influence business outcomes.

XML job scraping automation by YubHub

The Head of GTM Finance will help shape how Plaid deploys capital, wins in the market, and builds the analytical infrastructure to sustain growth at scale. The GTM Finance function is a strategic partner to Plaid's world-class Go-to-Market organization. The team owns revenue forecasting, ROI analytics, and performance visibility , and serves as a critical voice in resource allocation decisions.

As Head of GTM Finance, you will work closely with Sales, Marketing, RevOps, Product, and the Executive team to ensure our GTM engine delivers best-in-class results. You will report directly to the CFO and act as the primary finance partner to our Chief Operating Officer, who oversees all GTM functions including Sales, Marketing, Commercial, and Communications.

Responsibilities:

• Revenue Forecasting: Lead the team in constructing and integrating bottoms-up customer forecasts, top-down segment-level views, and statistical models into a unified, high-fidelity revenue forecast.
• Resource Allocation: Partner with the COO on capital deployment decisions including headcount planning, capacity modeling, and territory design.
• Performance Tracking & Visibility: Own and evolve Plaid’s GTM performance reporting, ensuring we’re focused on the highest-signal metrics, with clear benchmarks and targets tied to our financial and strategic objectives.
• Cross-functional Partnership: Build trusted relationships across the organization, acting as the connective tissue between the GTM function and key partners including Product and Engineering.
• Board Reporting: Own the GTM narrative for quarterly Board meetings, synthesizing business performance, progress against strategic priorities, and a forward-looking perspective into compelling, executive-ready materials.
• Team Building: Define the future-state of the GTM Finance team and execute against it. Hire, develop, and lead a high-performing team capable of operating at the pace and complexity of a scaled, growth-stage business.

Qualifications:

• 12+ years in Finance, with a background spanning management consulting, investment banking, private equity, or strategic finance at a high-growth B2B technology company.
• Deep fluency in B2B SaaS and GTM metrics.
• Exceptional analytical rigor paired with sharp business judgment.
• A genuine builder with a player-coach approach: you’re energized by defining what “great” looks like and building the team and systems to get there.
• Demonstrated success leading and developing high-performing finance teams.
• Executive presence and exceptional communication skills.
• Fintech or financial services experience is a plus, but not required.

XML job scraping automation by YubHub