Jobs · Sales

Commercial Finance Lead

Tiger Data (creators of TimescaleDB) · United States · 1 wk ago
RemoteRemoteSales$180/hrFull-time

About the role

As a Commercial Finance Lead at Tiger Data 🐯, you’ll connect commercial strategy, operating performance, and financial planning across Sales, Marketing, Revenue Operations, Data, and Finance. This isn’t a traditional FP&A or Revenue Operations role. You’ll own the forward-looking commercial model, connecting pipeline, conversion, customer usage, retention, expansion, and capacity to our growth targets. You’ll identify risks early, evaluate investments, and provide FP&A with the operating assumptions that inform the company’s financial forecast.

Responsibilities

  • Owning the forward-looking commercial model and bottoms-up forecast, including its data, methodology, and assumptions across pipeline, conversion, customer usage, retention, expansion, sales capacity, and timing.
  • Providing FP&A with the commercial outlook and operating assumptions used to forecast revenue, spending, margin, and cash.
  • Building complex cohort and financial dashboards covering acquisition channels, customer profiles, conversion, usage, churn, expansion, and unit economics.
  • Identifying leading indicators, pressure-testing growth targets, and flagging risks before they appear in financial results.
  • Analyzing performance against plan and translating underlying drivers into risks, opportunities, and recommended actions.
  • Evaluating investments across sales capacity, marketing programs, customer expansion, partnerships, and new routes to market.
  • Supporting pricing, promotions, and discounting decisions through analysis of customer value, revenue quality, consumption behavior, and margin.
  • Partnering with Revenue Operations, Sales, Marketing, Customer Success, and FP&A to align assumptions, set targets, identify investment needs, and drive action.
  • Preparing clear, executive-ready materials for leadership and Board discussions, communicating conclusions, assumptions, and recommendations in an easily digestible manner.
  • Applying emerging AI technologies to accelerate analysis, improve forecasting, and expand your capacity for high-leverage work.

Requirements

  • 6+ years of experience across Commercial Finance, business operations, strategy, sales, marketing, or data roles in a SaaS or technology company.
  • Understand consumption-based models and how pipeline, conversion, usage, retention, and expansion drive revenue.
  • Build detailed operational forecasts and can translate commercial activity into a forward-looking growth outlook.
  • Have strong financial modeling, Excel, BI, and data skills.
  • Understand SaaS and cloud economics, including gross margin, retention, expansion, CAC, payback, lifetime value, and sales productivity.
  • Connect fragmented data across commercial, product, and financial systems into a coherent view of the customer and business.
  • Look beyond lagging results to identify the leading indicators most predictive of future performance.
  • Challenge assumptions, align senior leaders, and influence without direct authority.
  • Be comfortable moving between detailed analysis and C-suite discussions.
  • Believe organizations are strongest when they reflect the diversity of the world around them, and actively work to make that a reality.

Qualifications

  • Fluency in English is required.

Skills

  • Financial modeling
  • Excel
  • BI tools
  • Data analysis
  • SaaS and cloud economics
  • Commercial forecasting
  • Leading indicator identification
  • Assumption challenge
  • Cross-functional collaboration
  • Executive-level communication
  • AI technologies

Benefits

  • Flexible PTO and comprehensive family leave
  • Fridays off in August
  • Stock options for long-term growth
  • Monthly WiFi stipend
  • Professional development and educational resources
  • Premium insurance options for you and your family (US-based employees)

Pay

Details TBD.

Schedule

This role is remote. Due to the team’s location, we are open to candidates in North American time zones, ideally the East Coast.

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