TalentHop

This is a Fully Remote Job
About Our Client:
AlphaSense operates in the market intelligence and workflow orchestration industry, addressing the challenge of providing fast, accurate, and secure business and financial insights. The organization offers an AI platform that integrates domain-specific artificial intelligence with a vast content library of over 500 million premium business documents, enabling users to extract critical insights and identify market trends efficiently. Their solutions support enterprise users in navigating complex information with real-time, high-quality outputs.
About the Opportunity:
The STAFF QUALITY ENGINEER role is focused on defining and implementing the quality assurance strategy for the company's reference entity data services. This position is responsible for ensuring the accuracy and reliability of company data before it reaches customers by building quality practices from the ground up and collaborating with engineering and product leadership. The role contributes to maintaining high data integrity, enabling confidence in the platform's outputs.
Responsibilities:
<ul>
<li>Own and develop the quality strategy for reference entity data, emphasizing quality by design and automation.</li>
<li>Identify and close gaps in test coverage for critical workflows including data ingestion, record matching, and data delivery.</li>
<li>Define data correctness criteria and create golden datasets, labeled samples, and automated checks to verify quality.</li>
<li>Establish quality measures and release standards to facilitate confident product shipping.</li>
<li>Build scalable automation across data, API, and event-driven interfaces at various testing layers.</li>
<li>Anticipate and mitigate risks related to data lifecycle issues such as provider data drift and schema changes.</li>
<li>Collaborate with developers on test planning for new features to ensure timely automation.</li>
<li>Utilize production signals to prioritize testing efforts that reduce customer risks.</li>
<li>Integrate AI techniques into test design, maintenance, and triage processes.</li>
<li>Mentor engineers and influence cross-team quality standards.</li>
</ul>
Requirements:
<ul>
<li>Minimum 8 years of quality engineering experience, including strategic planning for complex backend or data platforms.</li>
<li>Proficiency in designing and automating tests for backend data systems, including API and contract testing, data pipeline validation, and event-driven interfaces.</li>
<li>Strong programming skills in languages such as Python, Kotlin/Java, TypeScript/JavaScript, or Ruby.</li>
<li>Expertise in test design at unit, API, and end-to-end levels with sound judgment on application.</li>
<li>Experience in validating data correctness at scale, especially in matching or pipeline systems.</li>
<li>Knowledge of continuous delivery, CI/CD practices, and release quality controls.</li>
<li>Experience applying AI to enhance engineering and testing processes.</li>
<li>Ability to independently set direction and influence without formal authority.</li>
<li>Effective communication skills with technical and business stakeholders.</li>
</ul>
Pay Range and Compensation Package:
<ul>
<li>Compensation Range: $148,350—$203,550 USD</li>
</ul>
Benefits &amp; Perks:
<ul>
<li>Medical insurance</li>
</ul>
Equal Opportunity Statement:
Our client is an equal opportunity employer. They celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, or national origin.
Note:
TalentHop is a recruitment partner of this role. Please note that all employment decisions, including candidate assessment, interviews, hiring, compensation, and employment terms, are made exclusively by the hiring employer.

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