Staff Engineer, QE

About AlphaSense:

The world’s most sophisticated companies rely on AlphaSense to remove uncertainty from decision-making. With market intelligence and search built on proven AI, AlphaSense delivers insights that matter from content you can trust. Our universe of public and private content includes equity research, company filings, event transcripts, expert calls, news, trade journals, and clients’ own research content.

The acquisition of Tegus by AlphaSense in 2024 advances our shared mission to empower professionals to make smarter decisions through AI-driven market intelligence. Together, AlphaSense and Tegus will accelerate growth, innovation, and content expansion, with complementary product and content capabilities that enable users to unearth even more comprehensive insights from thousands of content sets. Our platform is trusted by over 6,000 enterprise customers, including a majority of the S&P 500.

About the Role:

As we transition into an AI-First Operating Model and move from exploration into execution at scale, we are seeking a Staff Quality Engineer to join our AI Platform team and serve as a strategic catalyst for this shift.

In this high-impact role, you will be accountable for architecting the quality standards that underpin our next generation of market intelligence. Your remit is to define how we build, test, and operate in an AI-centric ecosystem. You will lead quality initiatives that ensure our engineering workflows—covering everything from complex data pipelines and AI model validation to system observability and agentic search interactions—are robust, scalable, and AI-boosted. You will be a key leader in establishing '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.

Who You Are:

• 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
• Great experience with Test Management Systems (e.g., Allure TestOps)
• Excellent test design skills and experience in API testing
• Experience with any UI test automation framework
• Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Kubernetes)
• Strong understanding of continuous delivery
• Strong communication skills and ability to collaborate with stakeholders

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
• Experience with AI/ML model evaluation and test data management for non-deterministic systems
• 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 engineering teams to ensure robust validation of AI models and data pipelines.