Salary :
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About us
Today’s financial system is built to favor those with money. Grid’s mission is to level that playing field by building financial products that help users better manage their financial future. The Grid app lets users access cash, build credit, spend money, optimize their taxes, and lots, lots more.
Grid is a fast-growing team that’s deeply passionate about making a difference in the lives of millions. We’re solving huge problems and believe that every team member has a big role to play. Come join our growing team in Seattle!
The Role
We’re looking for a sharp and data-driven Product Analyst to join our product team. In this role, you’ll work at the intersection of data, product strategy, and user insights to help Grid build better financial products. You’ll dig into user behavior, surface actionable insights, and partner closely with product managers and engineers to guide decisions that directly impact millions of users.
The team
We're focused on serving our users above all else all while building a robust business. To this end, Grid's team members experience high levels of autonomy and ownership, and as a company we value curiosity, learning and growth.
At Grid, you'll be surrounded by a team that is motivated, mission-driven and pragmatic.
What you'll do:
- Own end-to-end decision systems, not just analysis—design, build, and iterate on tools that drive product and growth decisions
- Use AI (e.g., LLMs, copilots, automation workflows) to automate analysis, reporting, and insight generation
- Build lightweight internal data products and tools (e.g., self-serve dashboards, GPT-powered interfaces, experimentation tools) that scale decision-making across the org
- Partner with product, engineering, and growth to define success metrics and design experiments, while leveraging AI to accelerate test design and interpretation
- Identify opportunities across the funnel (acquisition, activation, retention, monetization) and rapidly prototype solutions using data + AI
- Translate complex datasets into clear, high-leverage recommendations, often via automated or semi-automated systems
- Continuously improve data infrastructure, instrumentation, and workflows to enable faster, higher-quality decisions
- Develop a deep understanding of our users and their financial behavior, and encode that understanding into scalable models and tools
What we're looking for:
- Strong proficiency in SQL and comfort working with large datasets
- Experience with modern data tooling (e.g., Looker, BigQuery, etc.)
- Hands-on experience using AI tools (e.g., ChatGPT, Claude, Cursor, etc.) to:
- write and optimize queries
- automate workflows
- build internal tools or prototypes
- Ability to build, not just analyze:
- scripting (Python preferred)
- building lightweight apps, tools, or automations
- Solid understanding of experimentation and statistics (A/B testing, significance, causal inference)
- Strong product intuition and ability to prioritize high-impact opportunities
- Excellent communication skills with the ability to distill complex insights into clear recommendations
- High agency and curiosity—someone who looks for ways to eliminate manual work and scale themselves with AI
- Degree from a top-tier (Tier 1) university in a quantitative or technical field (e.g., CS, Math, Economics, Engineering)
- Ability to work out of our San Francisco office
- You must be legally authorized to work in the United States at the time of hire.
$70,000 - $85,000 a year
Equity
Competitive equity package included
Benefits
Medical
Dental
Vision
401K
Life Insurance
Why this role
- You’ll work on real problems that affect users’ financial lives
- You’ll have ownership from day one
- You’ll be pushed to operate at a high level very quickly
- You’ll have a steep growth curve if you perform
We’re looking for people who want to build something meaningful and are willing to do the work required to get there.
If that excites you, we’d love to hear from you.
You must be legally authorized to work in the United States at the time of hire.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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