Staff QE
AlphaSense1 day ago
Base Salary
$148k - $204k/yr
Responsibilities
- Own the quality strategy for company reference data using quality-by-design and automation-first practices.
- Build test coverage for data ingestion, record matching, identifier stability, entity delivery, and change-event workflows.
- Define data correctness standards and create golden datasets, labeled samples, automated checks, and precision/recall measurements.
- Establish quality measures, release standards, and appropriate testing across unit, component, API, and end-to-end layers.
- Build scalable automation for data, API, and event-driven interfaces and regression coverage for data lifecycle risks.
- Partner with developers on test planning, use production signals to prioritize risk reduction, and incorporate AI into test design and triage.
- Coach engineers and influence quality practices across teams.
Requirements
- 8+ years of hands-on quality engineering experience, including strategy for complex backend or data platforms.
- Experience designing and automating tests for backend and data systems, including API and contract testing, data pipeline validation, and event-driven or streaming interfaces such as Kafka.
- Strong proficiency in at least one programming language such as Python, Kotlin/Java, TypeScript/JavaScript, or Ruby, with comfort working in unfamiliar codebases.
- Deep expertise in unit, API, and end-to-end test design and deciding where each testing layer belongs.
- Experience validating data correctness at scale, ideally in matching, identity, or pipeline-driven systems.
- Understanding of continuous delivery, CI/CD, and release quality gates.
- Track record of using AI to accelerate engineering and testing, with the ability to set direction independently and influence without authority.
- Clear communication with technical and business stakeholders.
- Preferred qualifications include data pipeline or data-operations tooling experience, Playwright E2E automation, financial/company/reference data experience, AI or LLM output evaluation, and a BS/MS in a relevant technical field.
Benefits
- Competitive compensation package, equity eligibility, lunch and recreational benefits, and occupational health care.
Tech Stack
Categories
About AlphaSense
AlphaSense builds an AI-powered market intelligence and search platform used by investment, corporate strategy, and research teams to find insights across public and private content (equity research, filings, transcripts, expert calls, news, and internal documents). It sells enterprise subscriptions to its SaaS platform and content sets. Founded in 2011 and headquartered in New York, the company is privately held and acquired Tegus in 2024; its customers include a majority of the S&P 500.