Strategic Finance - GTM

Brief Overview

Mercury is revolutionizing banking for the modern age by building the finance stack that empowers startups to thrive. We are expanding our horizons with new business lines and reaching more customers, requiring financial reporting, models, and infrastructure that evolve at the pace of our business.

About the Role

You will play a foundational role in building Mercury’s GTM decision engine by:

• Building and owning the core datasets that power growth decision-making (e.g., CAC, funnel conversion, cohort performance, LTV inputs, cost-to-serve inputs)
• Creating dashboards and tools that enable teams to understand performance across channels, campaigns, and segments
• Translating strategic finance frameworks (e.g., payback models, channel scaling rules, ROI thresholds) into scalable systems and decision tools
• Designing and implementing automations that reduce manual work, standardize decision-making, and accelerate the path from data, to insights, and then to actions
• Partnering with Growth, Marketing, Sales, Partnerships, Product, and Data teams to improve data quality, attribution, and performance visibility
• Supporting forecasting and planning processes related to growth and customer behavior
• Identifying recurring questions or manual processes and proactively building systems, datasets, or tools to eliminate them

Responsibilities

• Build and own the core datasets that power growth decision-making (e.g., CAC, funnel conversion, cohort performance, LTV inputs, cost-to-serve inputs)
• Create dashboards and tools that enable teams to understand performance across channels, campaigns, and segments
• Translate strategic finance frameworks (e.g., payback models, channel scaling rules, ROI thresholds) into scalable systems and decision tools
• Design and implement automations that reduce manual work, standardize decision-making, and accelerate the path from data, to insights, and then to actions
• Partner with Growth, Marketing, Sales, Partnerships, Product, and Data teams to improve data quality, attribution, and performance visibility
• Support forecasting and planning processes related to growth and customer behavior
• Identify recurring questions or manual processes and proactively build systems, datasets, or tools to eliminate them

Requirements

• 3–5 years of experience in strategic finance, growth analytics, bizops, or a similar role in a high-growth environment
• Strong SQL and data manipulation skills; ability to work directly with large datasets and define clean, scalable data models
• Expert modeling skills, including building detailed P&Ls and operating models, with experience building models that are actually used by stakeholders
• Experience working on growth, marketing, or customer-related problems (e.g., CAC, funnels, experimentation, or unit economics) is strongly preferred
• Strong problem-solving skills with the ability to operate in ambiguity and independently drive problems from definition to a scalable solution
• A systems-oriented mindset: you instinctively identify recurring questions or workflows and build scalable solutions (e.g., datasets, tools, automations) to eliminate them
• Strong communication skills, with the ability to translate complex analyses into clear, actionable insights
• Demonstrated ability to operate in ambiguous environments and translate loosely defined problems into structured, repeatable systems

Qualifications

• Strong SQL and data manipulation skills; ability to work directly with large datasets and define clean, scalable data models
• Expert modeling skills, including building detailed P&Ls and operating models, with experience building models that are actually used by stakeholders
• Experience working on growth, marketing, or customer-related problems (e.g., CAC, funnels, experimentation, or unit economics) is strongly preferred
• Strong problem-solving skills with the ability to operate in ambiguity and independently drive problems from definition to a scalable solution
• A systems-oriented mindset: you instinctively identify recurring questions or workflows and build scalable solutions (e.g., datasets, tools, automations) to eliminate them
• Strong communication skills, with the ability to translate complex analyses into clear, actionable insights
• Demonstrated ability to operate in ambiguous environments and translate loosely defined problems into structured, repeatable systems

Skills

• Strong SQL and data manipulation skills
• Expert modeling skills
• Systems-oriented mindset
• Strong communication skills

Benefits

The total rewards package at Mercury includes base salary, equity (stock options/RSUs), and benefits. Our salary and equity ranges are highly competitive within the SaaS and fintech industry and are updated regularly using the most reliable compensation survey data for our industry. New hire offers are made based on a candidate’s experience, expertise, geographic location, and internal pay equity relative to peers.

Pay

Our salary and equity ranges for this role are as follows:

• US employees in New York City, Los Angeles, Seattle, or the San Francisco Bay Area: $142,900 - $160,700
• US employees outside of the New York City, Los Angeles, Seattle or the San Francisco Bay Area: $128,600 - $144,600
• Canadian employees (any location): CAD 135,000 - 151,900

Schedule

Not specified