
Senior FP&A Manager – GTM
Posted Aug 5

Posted Aug 5
This is a fully remote position, open to applicants in Germany.
• Take responsibility for the forward-looking financial strategy of n8n’s commercial operations.
• Assist Sales, Marketing, Customer Success, and Partnerships in making data-driven investment choices.
• Lead the annual Go-To-Market (GTM) planning process and ongoing forecasting from goal setting to integration into the overall company plan.
• Develop and sustain a cohesive sales-driven top-line financial model.
• Collaborate with FP&A Managers and Controlling to connect and meticulously analyze the company's forward plan and actual performance.
• Model aspects such as pipeline health, sales dynamics, funnel economics, and enterprise sales effectiveness.
• Convert pipeline generation, conversion rates, and Annual Contract Value (ACV) into financial implications and investment trade-offs.
• Assist in pricing and packaging evaluations, including assessments of revenue and margin effects.
• Work alongside GTM budget holders to optimize investment sizing and guide resource allocation decisions.
• Establish KPIs, reporting frequencies, and frameworks for evaluating marketing ROI, Customer Acquisition Cost (CAC), conversion rates, and bookings sourced from marketing.
• Deliver insights and recommendations to GTM leaders, executives, and board members.
• Collaborate with RevOps on capacity planning, funnel performance, and implications for GTM strategy.
• Transform GTM financial reports into actionable insights and recommendations in partnership with Data and Controlling.
• Project sales commission expenses within the GTM budget.
• Leverage AI and automation to develop repeatable planning and reporting processes.
• Over 7 years of experience in Financial Planning & Analysis (FP&A) or strategic finance.
• Preferably experienced in a high-paced technology or B2B SaaS environment.
• Demonstrated experience in leading comprehensive multi-entity, multi-stakeholder annual planning, budgeting, and forecasting processes.
• Proven track record of collaborating with Sales and Marketing leaders, particularly in sales-led growth or enterprise sales strategies.
• Proficient in understanding metrics such as CAC, CAC payback periods, CLV-to-CAC ratios, pipeline dynamics, funnel conversion rates, and enterprise growth economics.
• Capable of creating complex, integrated financial models that maintain their reliability as assumptions and business conditions evolve.
• Skilled in translating intricate financial analyses into straightforward recommendations and effectively presenting them to GTM leaders, executives, and boards.
• Active engagement with AI and automation platforms, including n8n.
• Degree in Finance, Business Administration, Economics, or a related field is a plus.
• Experience in transaction advisory, investment banking, or similarly analytical roles is advantageous.
• Proficiency in Python is a bonus.
• Familiarity with financial or headcount planning tools such as Pigment is a nice-to-have.
• Experience with Salesforce or similar Revenue Operations tools is preferred.
• Knowledge of SQL or another query language is a plus.
• Understanding of product-led growth metrics and strategies is desirable.
• Experience with data visualization tools such as Looker, Tableau, or Power BI is a plus.
• Background in workflow automation, developer tools, infrastructure software, or related SaaS is appreciated.
• Comfortable working in a distributed, asynchronous-first environment with a degree of autonomy.
• Competitive salary package.
• Equity ownership opportunity in n8n.
• In Europe: 30 days of vacation, in addition to public holidays applicable to your location.
• In Europe: Benefits aligned with local country standards.
• In Europe: Pension contributions as per local country regulations.
• Annual budget of €1K (or equivalent) for courses, books, events, or coaching.
• Regular hackathons to foster innovation.
• Remote-first working environment across Europe.
• Monthly allowance of $100 to support open-source initiatives.
• Unlimited budget for AI tools and resources.
• Commitment to transparency regarding work and company performance.
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