Jobs › AlphaSense

Staff QE

AlphaSense · Remote · Engineering

Posted Aug 25, 2026 · We last checked this listing on Oct 6, 2026

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Likely interview questions for this role

Written from this job description, not a generic list. Each one notes what the interviewer is really checking.

About your past

Tell me about a test automation framework you built or rebuilt. What problem did it solve?

What they are checking: Whether they have designed automation that made a real difference rather than just adding more tests.

Describe a time you convinced developers to own more of their testing.

What they are checking: Whether they can shift quality left by influencing engineers instead of acting as a final gate.

What would you do

Our end-to-end suite is flaky and engineers ignore failures. How would you fix that?

What they are checking: Whether they know flaky tests destroy trust and have a practical plan to restore it.

How would you pilot an AI testing tool and decide whether to roll it out across the QE org?

What they are checking: Whether they evaluate new tools with clear criteria and a measured pilot before scaling.

A release is about to go out and you have doubts about quality. What do you do?

What they are checking: Whether they can raise risk with evidence and help leaders make an informed call under time pressure.

About the work

We are moving to an AI-first operating model in QE. What would that look like in practice for test design and execution?

What they are checking: Whether they have a concrete view of how AI changes testing work, not just general enthusiasm.

How do you test a feature whose output comes from an LLM and is not the same every time?

What they are checking: Whether they understand evaluation approaches for nondeterministic output, like rubrics, golden sets and scoring.

How do you decide what to automate at the unit, API and UI levels?

What they are checking: Whether they understand the test pyramid and avoid slow, brittle UI tests for things better tested lower.

How do you measure whether quality engineering is actually improving product quality?

What they are checking: Whether they track meaningful signals like escaped defects and change failure rate rather than test counts.

How do you test search relevance in a product where users expect the right document to appear first?

What they are checking: Whether they can test quality that is about ranking and relevance, not just pass or fail behavior.

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The full job description

As published by AlphaSense.

About AlphaSense:&nbsp; 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. Founded in 2011, AlphaSense is headquartered in New York City with more than 2,000 employees across the globe and offices in the U.S., U.K., Finland, India, Singapore, Canada, and Ireland. Come join us! About the Role:&nbsp; 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. 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 • 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 &nbsp; 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 • BS/MS degree in a relevant technical discipline such as Computer Science, Engineering, or Information Technology What You’ll Do: &nbsp; • 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. For base compensation, we set standard ranges for all roles based on function and level benchmarked against similar stage growth companies and internal comparables. In order to be compliant with local legislation, as well as to provide greater transparency to candidates, we share salary ranges on all job postings regardless of desired hiring location. Final offer amounts are determined by multiple factors including candidate experience/expertise and may vary from the amounts listed below.&nbsp; You may also be offered equity, and a generous benefits program. Compensation Range $148,350 &mdash; $203,550 USD 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. AlphaSense does not discriminate against any employee or applicant on the basis of race, color, sex (including pregnancy), national origin, age, religion, marital status, sexual orientation, gender identity, gender expression, military or veteran status, disability, or any other non-merit factor. This policy applies to every aspect of employment at AlphaSense, including recruitment, hiring, training, advancement, and termination. In addition, it is the policy of AlphaSense to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations, and ordinances where a particular employee works. Recruiting Scams and Fraud We at AlphaSense have been made aware of fraudulent job postings and individuals impersonating AlphaSense recruiters. These scams may involve fake job offers, requests for sensitive personal information, or demands for payment. Please note: • AlphaSense never asks candidates to pay for job applications, equipment, or training. • All official communications will come from an @<a href="http://alpha-sense.com/" target="_blank" data-saferedirecturl="https://www.google.com/url?q=http://alpha-sense.com/&source=gmail&ust=1740162734907000&usg=AOvVaw2sfhQUZloRzVpQ4Yj1Ftlo">alpha-sense.com &nbsp;email address. • If you’re unsure about a job posting or recruiter, verify it on our&nbsp;<a href="https://www.alpha-sense.com/careers/" target="_blank" data-saferedirecturl="https://www.google.com/url?q=https://www.alpha-sense.com/careers/&source=gmail&ust=1740162734907000&usg=AOvVaw3I0CFwb1ser7ImCRD48YOl">Careers page . If you believe you’ve been targeted by a scam or have any doubts regarding the authenticity of any job listing purportedly from or on behalf of AlphaSense please contact us. Your security and trust matter to us.

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