Staff QE
AlphaSense · Remote - United States
About this role
## 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—covering equity research, company filings, event transcripts, expert calls, news, trade journals, and more. AlphaSense is headquartered in New York City and trusted by 6,000+ enterprise customers, including a majority of the S&P 500. ## About the Role (Staff QE) As we transition into an AI-First Operating Model and move from exploration into execution at scale, we’re seeking a seasoned **Senior Quality Engineer** to join our QE org and help architect the quality standards for our next generation of market intelligence. You’ll define how we build, test, and operate in an AI-centric ecosystem—leading quality initiatives across complex data pipelines, AI model validation, system observability, and agentic search interactions. You’ll help establish **“AI-First”** as our standard operating procedure by defining quality gates that enable confident, precise delivery 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: **Kotlin, Python, JavaScript, or Java** - Proficiency in testing methodologies and strong QA domain/theory knowledge - Experience with **Test Management Systems** (e.g., Allure TestOps) - Strong 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** (Kubernetes) - Strong understanding of **continuous delivery** - Ability to operate and set direction autonomously (without a dedicated QE team/manager) - Experience coaching teams on **quality-by-design** and **shift-left** practices (influencing without direct authority) - Excellent communication skills and cross-portfolio collaboration ## Bonus Points - Experience setting up/configuring **CI/CD** tools and pipelines - Good understanding of **GraphQL** - Performance Engineering expertise (e.g., **k6**) and **Observability** (OpenTelemetry/Grafana) - Financial data domain knowledge - Experience testing backend/data pipelines - BS/MS in a relevant technical discipline (CS, Engineering, IT) ## What You’ll Do - Define and drive long-term testing strategy and quality culture for the AI Platform: **Quality by Design** and **Automation by Default** - Define quality metrics and coverage standards with product and engineering teams for data-driven, measurable outcomes - Grow test coverage via scalable, domain-specific automation; define/maintain complex test datasets - Guide test planning for new features to ensure alignment with acceptance criteria across unit, integration, and E2E layers - Continuously improve testing processes; perform targeted exploratory testing to discover risks, inform automation, and validate model outputs - Coach and mentor engineers on sustainable, scalable quality practices; ensure delivery standards through rigorous release gates ## Compensation Base compensation range: **$148,350 – $203,550 USD** (final offer depends on experience/expertise and other factors). Equity and a generous benefits program may also be offered. ## Equal Opportunity & Recruiting Scams AlphaSense is an equal-opportunity employer and provides reasonable accommodations
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