GTM Finance Manager

Fivetran is building data pipelines to power the modern data stack for thousands of companies.

As the Manager on the GTM Finance and Strategy team, you’ll operate at the center of go-to-market strategy — owning and building critical models to forecast ARR and GAAP Revenue, analyzing and providing perspective around strategic initiatives, and delivering insights that shape executive and Board decisions. You’ll partner closely with Analytics, Revenue Accounting, Revenue Operations, External Reporting, and GTM leadership.

This role reports to the Sr. Manager of GTM Finance and blends strategic finance, data storytelling, technical problem-solving, and operational execution. You’ll drive forward-looking planning, help scale our forecasting infrastructure for a hybrid pricing motion that includes both subscription contracts and usage-based (consumption) revenue, and support high-visibility initiatives across the function.

This is a high-impact role ideal for someone who is passionate about leveraging data and financial insight to guide strategy and operational execution in a high-growth, cross-functional environment.

This is a full-time, hybrid position based out of our Oakland, CA or Denver, CO office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team.

Claude / ChatGPT, Looker, SFDC, BigQuery, G-Suite

• →Revenue Modeling & Forecasting: Own and re-evaluate our rolling GAAP revenue and ARR forecast models, including renewal behavior (NRR), new business, and contract-level revenue recognition across subscription and consumption-based streams. Evolve forecasting frameworks using both deterministic and AI/ML-driven approaches.
• →Usage-Based Revenue: Build and maintain forecasting approaches for consumption revenue, including committed vs. overage usage, breakage, and the migration of customers between pricing models
• →Business Partnering: Serve as a key advisor and partner to COO, CFO, and collaboration with Analytics, delivering actionable insights to improve efficiency, optimize investments, and accelerate growth.
• →Strategic Decision Support: Deliver analysis that informs GTM investment, pricing and packaging, and target setting, and quantify the revenue impact of key business risks and opportunities
• →Budgeting & Forecasting: Support annual planning and monthly/quarterly forecast cycles; partner closely with Revenue Accounting on close, variance analysis, and forecast-to-actual (BvA) tracking
• →Performance Analysis: Own key revenue and retention metric packages — including NRR, ARPA, new business mix, ROI, and cohort trends — and surface insights to the CFO, executives, and the Board
• →Forecast & Reporting Infrastructure: Use AI Tools, or SQL (BigQuery) / Python to automate data pulls, build repeatable and auditable models, and improve the accuracy, speed, and transparency of our topline forecast; partner with Analytics, AI Transformation and Systems on data quality, integrity and self-serve reporting capabilities.
• →Executive Reporting: Create compelling, automated, executive-ready reports, dashboards, and narratives that distill complex data, trends, forecasts, and strategic implications into actionable recommendations for Finance leadership and GTM stakeholders.
• →Team Leadership: Provide technical guidance, review work, and help raise the modeling standards and work products of the GTM FP&A team

• 5-7 years of experience in FP&A, strategic finance, revenue finance, or investment banking, with a strong focus on revenue forecasting
• Expert-level modeling skills (Excel/Sheets) with a commitment to formula-driven, driver based, auditable, well-documented models
• Experience with usage-based or consumption pricing models strongly preferred
• Technical aptitude: working proficiency in SQL, Python, or similar scripting, and hands-on use of AI tools to accelerate and elevate modeling, strategic analysis, and QA; experience with BI tools (e.g., Looker) and data warehouses (e.g., BigQuery, Snowflake) a plus
• Ownership mindset: takes a model or process from ambiguity to a repeatable, documented workflow with minimal oversight, including QA and reconciliation to source data
• Data storytelling: translates complex data into clear insights and recommendations for senior, non-finance audiences, with strong executive presence and attention to detail
• Demonstrated ability to partner cross-functionally and influence without authority
• Excellent communication skills with high attention to detail and executive presence
• Adaptable, resourceful, and excited by the challenge of working in a fast-moving, growth-stage company
  

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