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FINNY AI

Lead QA Engineer

Posted 4 Days Ago
In-Office
New York City, NY, USA
160K-190K Annually
Mid level
In-Office
New York City, NY, USA
160K-190K Annually
Mid level
The Lead QA Engineer at FINNY will enhance test infrastructure, implement comprehensive testing strategies, and work collaboratively across teams to ensure software quality in a fast-paced, AI-focused environment.
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About FINNY

FINNY is a growth platform for financial advisors. We are on a mission to make great financial advice easier to find. Today, access to quality financial guidance is limited, not because advisors don’t exist, but because the right connections are hard to make when it matters. We’re fixing that with AI-powered tools that help advisors find, engage, and retain the clients they can genuinely help.

We’ve raised a 4.3 million pre-seed from Y-Combinator in S24 and now $17M Series A led by Venrock. We work with firms across the wealth management ecosystem, and have been recognized as a leader in fintech innovation—winning #1 at the Morningstar Fintech Showcase and being featured across the industry.

We’re based in Chelsea, NYC, building fast and ambitious systems at the intersection of data, AI, and real-world wealth services.

About the Team

The QA Engineering team at FINNY ensures that everything we ship is reliable, scalable, and delivers a seamless experience for financial advisors and their clients. They work across the full product lifecycle, partnering closely with engineering, product, and design to define test strategies, build automated testing frameworks, and proactively identify issues before they reach production. In a fast-moving, AI-driven environment, QA at FINNY isn’t just about catching bugs—it’s about enabling speed with confidence, safeguarding product quality as we rapidly iterate, and making sure every release meets a high bar for performance, accuracy, and user trust.

What You’ll Do
  • Own and evolve test infrastructure: Improve and extend our existing testing frameworks using Playwright, pytest, and Vitest. Strengthen CI/CD integration and build the systems to support continuous quality assurance

  • Own end-to-end quality: Design and implement comprehensive test coverage across functional testing, API testing, smoke testing, and end-to-end workflows. Ensure our platform works reliably for financial advisors

  • Contribute to LLM evaluation efforts: Work with the engineering team to build eval frameworks for our AI-powered content generation and research features. Design test datasets, create automated scoring systems, and establish regression suites for AI outputs

  • Scale testing practices: Establish testing standards, guide engineers on quality practices, and build reusable test utilities as the team grows

  • Collaborate across the stack: Partner with backend, fullstack, and ML engineers to catch issues early, improve testability, and advocate for quality throughout the development cycle

  • Contribute to the codebase: Write bug fixes, build test utilities, and improve developer tooling across our Python backend and TypeScript frontend


What We’re Looking For

Must-haves:

  • Strong automation skills with Playwright, pytest, and modern JavaScript testing frameworks (Vitest/Jest)

  • Experience building test infrastructure and integrating tests into CI/CD pipelines (GitHub Actions, GitLab, or similar)

  • Ability to read and navigate codebases in Python and TypeScript

  • Understanding of multiple testing approaches: functional, API, smoke, end-to-end testing

  • Experience with or strong interest in LLM testing: understanding non-deterministic outputs, designing eval datasets

  • Excellent communication skills: you explain quality issues clearly and work collaboratively with product and engineering

Nice-to-haves:

  • Experience with AI-assisted testing tools (Rainforest QA or equivalents)

  • Background at AI-first or data-intensive companies

  • Familiarity with LLM eval frameworks

  • Knowledge of performance, load, or security testing

  • Experience with our stack: FastAPI, AWS, Postgres, MongoDB

Your working style:

  • You view QA as an enabler, not a gatekeeper. You help the team ship faster with confidence

  • You tackle ambiguity head-on and iterate quickly with minimal oversight

  • You thrive when priorities shift and adapt quickly without losing momentum

  • You have strong opinions on test coverage trade-offs and can articulate your testing philosophy

Compensation & Benefits

FINNY offers a competitive compensation package including:

  • Competitive salary and equity

  • Medical, dental, and vision insurance

  • Flexible paid time off

  • 401(k)

  • Food and meals provided in our NYC office

  • Team offsites and events

Equal Opportunity Employer

FINNY is an equal opportunity employer. We are committed to diversity and inclusion in our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Top Skills

AWS
Fastapi
Github Actions
Gitlab
JavaScript
MongoDB
Playwright
Postgres
Pytest
Python
Typescript
Vitest

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