[Hiring] Staff QE @AlphaSense

Role Description

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 join our QE org and serve as a strategic catalyst for this shift.

• Accountable for architecting the quality standards that underpin our next generation of market intelligence.
• Define how we build, test, and operate in an AI-centric ecosystem.
• Lead quality initiatives that ensure robust, scalable, and AI-boosted engineering workflows.
• Establish "AI-First" as our standard operating procedure.
• Define the quality gates that enable us to deliver state-of-the-art market intelligence with confidence and precision at scale.

Qualifications

• 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.

Requirements

• 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.
• BS/MS degree in a relevant technical discipline such as Computer Science, Engineering, or Information Technology.

What You’ll Do

• 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.

Compensation Range

$148,350 — $203,550 USD

Equal Opportunity Employer

AlphaSense is an equal-opportunity employer. We are committed to a work environment that supports, inspires, and respects all individuals. All employees share in the responsibility for fulfilling AlphaSense’s commitment to equal employment opportunity.

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