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Salary
$101k – $170k per year
Location
Remote/Hybrid (New York, United States)
Employment
Full-Time
Overview
Company
Impact
Profile match
Datasite is where deals are made. We provide the data rooms and SaaS technology used in M&A and other high-value transactions. Our customers include the world's leading investment banks, private equity firms, law firms, and corporations, across mo...

Datasite and its associated businesses are the global center for facilitating economic value creation for companies across the globe. From data rooms to AI deal sourcing

and more. Here you’ll find the finest technological pioneers: Datasite, Blueflame AI, Grata, and Sherpany. They all, collectively, define the future for business growth.

Apply for one position or as many as you like. Talent doesn’t always just go in one direction or fit in a single box. We’re happy to see whatever your superpower is and find the best place for it to flourish.

Get started now, we look forward to meeting you..

Job Description:

At Blueflame AI for Datasite, you will be part of a dynamic team that is at the forefront of AI technology in the investment management and dealmaking industry. You will have the opportunity to work with cutting-edge products and make a significant impact on our clients' success. Join us to be part of a company that values innovation, client satisfaction, and continuous improvement.

The QA Engineer position at Blueflame AI plays a critical role in ensuring the quality, reliability, and performance of the Blueflame AI platform. This position requires close collaboration with front-end and back-end engineers to validate new functionality, maintain regression coverage, and strengthen automated testing across the development lifecycle. The ideal candidate will be organized, detail-oriented, energetic, and comfortable working in a fast-paced startup environment.

This is a hybrid position in NYC with 3 days in office per week (Mondays, Wednesdays and Thursdays).

Responsibilities

  • Plan, execute, and document manual, exploratory, and regression testing for the Blueflame AI platform.

  • Build, maintain, and improve automated test suites using Playwright, TypeScript, and supporting tools.

  • Maintain AIO Tests or similar test management assets so coverage, execution status, and test results stay current.

  • Integrate, monitor, and troubleshoot automated tests within GitHub Actions and CI/CD workflows.

  • Reproduce, isolate, and document bugs with clear steps, evidence, severity, and expected behavior to support efficient engineering resolution.

  • Partner closely with front-end and back-end engineers throughout development, release readiness, and defect triage.

  • Analyze test failures, application behavior, and pipeline results to distinguish product defects from environment, data, or automation issues.

  • Contribute to QA standards, reusable test patterns, and process improvements that increase release confidence.

  • Write and maintain documentation for test coverage, QA processes, and automation best practices.

What You Bring

  • Experience as a QA Engineer, Software Development Engineer in Test, Test Automation Engineer, or similar role.

  • Strong hands-on experience with manual testing, regression testing, test case design, and defect reporting.

  • Practical experience building, maintaining, and debugging Playwright automated tests.

  • Proficiency with TypeScript and working knowledge of Python.

  • Experience using GitHub, GitHub Actions, and CI/CD pipelines.

  • Ability to problem solve independently and work collaboratively with engineering teammates.

  • Comfort troubleshooting failed tests and identifying root causes across the application, data, environment, and automation layers.

  • Clear communication skills and the ability to document issues, testing outcomes, and release risks effectively.

Nice to Have

  • Experience maintaining AIO Tests or similar test management tooling.

  • Experience testing modern front-end applications and API-backed workflows.

  • Experience improving automation reliability and reducing flaky tests in CI environments.

  • Experience with LLMs, applied AI, financial technology, investment management, or dealmaking workflows.

  • End-to-end SDLC ownership or experience helping teams improve release readiness practices.

The base salary range represents the estimated low and high end for this position based on a good faith assessment of the role and market data at the time of posting. Consistent with applicable law, each candidate’s compensation offer may vary and will be determined based on but not limited to, your geographic region, skills, qualifications, and experience along with the requirements of the position. This position may be eligible for bonuses, commissions, or overtime if applicable. Benefits include health insurance (medical, dental, vision), a retirement savings plan, paid time off, and other employee benefits. Specific details will be provided during the interview process. Datasite reserves the right to modify this pay range at any time.

$100,600.00 - $169,800.00

Our company is committed to fostering a diverse and inclusive workforce where all individuals are respected and valued. We are an equal opportunity employer and make all employment decisions without regard to race, color, religion, sex, gender identity, sexual orientation, age, national origin, disability, protected veteran status, or any other protected characteristic. We encourage applications from candidates of all backgrounds and are dedicated to building teams that reflect the diversity of our communities.

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