Senior Quality Engineer, Findata

AlphaSense removes uncertainty from decision-making for the world’s most sophisticated companies by delivering AI-driven market intelligence and search across public and private content—equity research, company filings, event transcripts, expert calls, news, trade journals, and clients’ proprietary research. Following the 2024 acquisition of Tegus, AlphaSense and Tegus now combine complementary product and content capabilities to provide even more comprehensive insights from thousands of content sets. Trusted by over 6,000 enterprise customers, including a majority of the S&P 500, AlphaSense was founded in 2011 and is headquartered in New York City with more than 2,000 employees across the U.S., U.K., Finland, India, Singapore, Canada, and Ireland.

About the role

As we transition into an AI-First Operating Model and move from exploration into execution at scale, we are seeking a seasoned Senior Quality Engineer to lead quality on our FinData portfolio—spanning financial data generation, delivery, and user-facing experiences across multiple engineering teams. In this high-impact role, you will architect the quality standards that underpin our next generation of market intelligence, defining how we build, test, and operate in an AI-centric ecosystem. You will lead quality initiatives ensuring our engineering workflows—from complex data pipelines and AI model validation to system observability and agentic search interactions—are robust, scalable, and AI-boosted. As a key leader, you will establish "AI-First" as our standard operating procedure, defining the quality gates that enable us to deliver state-of-the-art market intelligence with confidence and precision at scale.

Responsibilities

• Define and drive the long-term testing strategy and quality culture for the AI Platform, emphasizing "Quality by Design" and "Automation by Default."
• Define quality metrics and coverage standards, partnering with product and engineering teams to ensure data-driven, measurable, and self-sustaining quality outcomes.
• Grow test coverage through scalable, domain-specific automation and define/maintain complex test datasets, partnering with developers to ensure automation readiness.
• Guide and support test planning for new features, ensuring alignment with acceptance criteria and coverage across unit, integration, and E2E layers.
• Continuously improve and streamline testing processes; perform targeted exploratory testing to discover risks, inform automation, and validate model outputs.
• Coach and mentor engineers on sustainable, scalable quality practices, serving as a strategic partner to ensure delivery standards are met through rigorous release gates.

Requirements

• Fluency with AI tools and a proven track record of enabling AI tools to accelerate software delivery and processes.
• Deep knowledge in at least one of the following programming languages: Kotlin, Python, JavaScript, or Java.
• Proficiency in testing methodologies and deep understanding of the QA domain and theory.
• Experience with Test Management Systems (e.g., Allure TestOps).
• Excellent test design skills and experience in API testing.
• Experience with UI test automation frameworks (e.g., Playwright).
• Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Kubernetes).
• Strong understanding of continuous delivery.
• Demonstrated ability to operate and set direction autonomously, without a dedicated QE team or manager in place.
• Experience coaching engineering teams on quality-by-design and shift-left practices, influencing without direct authority.
• Strong communication skills and ability to collaborate with stakeholders across multiple portfolios.

Qualifications

• BS/MS degree in a relevant technical discipline such as Computer Science, Engineering, or Information Technology.
• Bonus points if you have:
  • Experience in setting up and configuring CI/CD tools and pipelines.
  • Good understanding of GraphQL.
  • Proven expertise in Performance Engineering (using k6 or similar) and Observability (OpenTelemetry/Grafana) to drive data-informed quality decisions.
  • Financial data domain knowledge.
  • Experience testing backend/data pipeline.

Pay

Compensation Range: $169,050—$232,300 USD. Final offer amounts are determined by multiple factors including candidate experience/expertise and may vary from the listed range. You may also be offered equity and a generous benefits program.