# Strategic Finance - GTM

**Company**: Mercury
**Location**: San Francisco, CA, New York, NY, Portland, OR, or Remote within Canada or United States
**Work arrangement**: remote
**Experience**: mid
**Job type**: full-time
**Salary**: $142,900 - $160,700
**Category**: Finance
**Industry**: Finance

**Apply**: https://job-boards.greenhouse.io/mercury/jobs/5998488004?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_6297d637-621

## Description

In this role, you'll partner closely with the GTM Strategic Finance Lead to translate economic frameworks into scalable systems that enable teams across Growth, Marketing, and Product to make better decisions.

You'll 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

What You Bring:

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

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.

## Skills

### Required
- SQL
- data manipulation
- modeling
- strategic finance
- growth analytics
- bizops

### Nice to have
- CAC
- funnel conversion
- cohort performance
- LTV inputs
- cost-to-serve inputs

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/mercury/jobs/5998488004?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)