Senior Strategic Finance Analyst

From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.

Fivetran and dbt Labs are coming together with a shared mission: helping organizations unlock the full value of their data. Together we're building the data infrastructure layer that moves, transforms, and adds context to data — from the moment it lands to the point where teams and AI systems depend on it.

As we bring our teams and technology together, we're building on the strengths of both companies while continuing to deliver the products our customers know and trust. It's a good time to join a company with the scale, talent, and technology to help more organizations put their data to work.

Product Finance covers two things: how our products perform, and what they cost to build, run, and support. This role owns the cost and investment side, as the finance partner to the Product and Customer Support organizations.

You’ll own the operating expense P&L for both organizations — headcount and hiring plans, vendor and program spend, annual planning, monthly close, and budget-vs-actuals — and work with those leaders on where to spend and what to trade off.

You’ll also build our view of product investment at the portfolio level: what we spend behind each product line, what it returns, and what that means for how the roadmap gets funded. That includes bringing cost of revenue and unit economics into the picture, so we can talk about product margin rather than just product spend. This is how we’ll decide where to invest and where to pull back.

You’ll build our cost-to-serve view as well — support cost by account and segment, and the economics of deflection and AI-assisted support.

Expect close work with Product Managers, Support and Engineering leaders, Pricing, Corporate FP&A, and Accounting, and regular exposure to senior leadership as we scale toward public company readiness.

• Serve as the finance business partner to Product and Customer Support leadership — own their budgets, partner on spend decisions, and flag risks, trade-offs, and reallocation opportunities early.
• Own the annual operating plan for both organizations, including headcount and hiring plans, vendor and program spend, and quarterly reforecasts.
• Own monthly close, accruals, and variance analysis — budget vs. actuals with clear driver explanations and forward-looking implications.
• Build the portfolio view of product investment: what we spend behind each product line, what it returns, and what that implies for roadmap funding and resource allocation.
• Bring cost of revenue and product unit economics into that view, working with the teams that own the underlying cost data.
• Build cost-to-serve analytics — support cost by account and segment, and the economics of deflection and AI-assisted support.
• Build business cases for new product investments and major roadmap decisions, including the economics of retiring or consolidating products, and provide Pricing with the unit economics behind packaging and monetization changes.
• Co‑own the Product Monthly and Quarterly Financial Reviews with the product top‑line lead, so cost and performance are presented together.
• Improve how this work gets done — better data models, less manual assembly, and AI applied to recurring analysis.

• 4+ years in FP&A, strategic finance, product finance, investment banking, or consulting, including ownership of a model or forecast that others relied on.
• Experience owning an operating expense budget, or partnering with a non‑finance organization on its spend.
• Strong modeling skills across both driver‑based revenue forecasts and operating expense and headcount models.
• Working knowledge of software and subscription economics — ARR, NRR, ARPA, expansion, gross margin — ideally in a usage‑based business.
• Comfort working directly with large and complex datasets.…