Senior Manager, BU Finance

Superhuman•San Francisco, CA
•$171,000 - $236,000•Hybrid

About The Position

Superhuman is looking for a Senior Manager of Finance to lead finance partnership for its Docs business unit. This role involves partnering directly with Docs leadership to shape the financial plan, manage performance, and guide decisions across Product, Engineering, and Go-To-Market. The position requires owning the Docs Product P&L narrative and key metrics, and collaborating with various finance teams to align the business unit view with the company plan. This is a visible, hands-on role for a finance leader with strong business judgment and financial management skills, who can translate detailed analysis into clear recommendations and help leaders navigate opportunities and risks.

Requirements

  • 8+ years of progressive experience in FP&A, strategic finance, corporate finance, investment banking, consulting, or a related field, including 3+ years partnering with product or business unit leaders.
  • Bachelor’s degree in Economics, Finance, Math, Statistics, Engineering, Computer Science, or a related discipline, or equivalent experience.
  • Advanced financial modeling skills, including the ability to build flexible, assumption-driven models from ambiguous inputs and use them to assess business choices.
  • Clear written and verbal communication skills, including the ability to turn complex analysis into concise recommendations and executive-ready materials.
  • A track record of influencing senior leaders and building alignment across cross-functional stakeholders.
  • Strong analytical skills and experience working with complex models, large datasets, and tools such as SQL, Python or R.
  • Demonstrated ability to use AI tools for analysis, research, or workflow automation, with good judgment in validating outputs.
  • Able to prioritize, work independently, and drive complex workstreams to completion in a fast-paced environment.
  • Working knowledge of accounting principles and revenue recognition.

Responsibilities

  • Serve as the lead finance advisor to Docs leadership, translating product strategy and business priorities into financial plans, resource choices, and recommendations.
  • Own the Docs Product P&L narrative and key metrics: explain performance, drivers, risks, and opportunities, and recommend where to invest, adjust, or course-correct.
  • Partner with Docs leaders to identify and assess opportunities to grow usage and revenue, drawing on product performance, customer behavior, market trends, and competitive context.
  • Lead Docs budgeting, forecasting, and long-range planning for personnel, vendors, and other investments. Analyze run rates and hiring plans, and align resource plans with business drivers, strategic priorities, and financial targets.
  • Own Docs' direct revenue. Partner with GTM Finance on the product assumptions that inform the ARR forecast, and explain Docs-specific performance within it.
  • Lead monthly and quarterly business reviews against plan and forecast with business partners, explaining variances, surfacing risks and opportunities, tracking the effectiveness of strategic initiatives, and recommending actions.
  • Build and maintain models to understand Docs’ product economics, including conversion, retention, expansion, cohort behavior, unit economics, gross margin, and infrastructure and AI model costs. Use these models to assess scenarios and inform product and investment decisions.
  • Evaluate investments and growth initiatives across Product, Engineering, Sales, Marketing, Partnerships, channels, and customer segments through business cases, scenario modeling, and return-on-investment frameworks.
  • Deliver concise performance narratives and recommendations for operating reviews, executive discussions, Board materials, and strategic planning.
  • Partner with GTM Finance, Functional Finance, Corporate Finance, Accounting, Data, Revenue Operations, People, Product, and Engineering to align on assumptions, definitions, and data and to drive decisions through execution.
  • Build repeatable planning, reporting, and decision-support processes for emerging revenue streams, helping Docs scale from bespoke analysis to a durable operating cadence.
  • Use AI and automation to improve analysis, research, model review, scenario development, and workflows, validating outputs with sound judgment.
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