Назад
1 день назад

Staff QE (AI)

148 350 - 203 550$
Формат работы
remote (только USA)
Тип работы
fulltime
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Staff QE (AI): Defining and implementing the quality strategy for company reference data with an accent on automated validation, golden datasets, API and event-driven testing, and measurable release standards. Focus on detecting data drift, schema changes, matching errors, and lifecycle risks while building scalable test automation and influencing engineering quality practices.

Location: Remote - United States

Base compensation: $148,350–$203,550 USD, with potential equity and benefits.

Company

AlphaSense is an AI-powered market intelligence platform that combines domain-specific AI with business and financial content to support research, decision-making, and workflow automation.

What you will do

  • Own the quality strategy for company reference data using quality-by-design and automation-by-default principles.
  • Improve coverage for provider-data ingestion, record matching, identifier stability, entity delivery, and change events.
  • Define data correctness standards and build golden datasets, labeled samples, automated checks, and precision and recall measurements.
  • Establish quality metrics and release standards, using production signals to prioritize risk reduction.
  • Build scalable automation across data, API, and event-driven interfaces, selecting appropriate unit, component, API, and end-to-end test layers.
  • Anticipate data lifecycle risks, partner with developers on test planning, adopt AI for test design and triage, and coach engineers across teams.

Requirements

  • 8+ years of hands-on quality engineering experience, including strategy for complex backend or data platforms.
  • Experience designing and automating backend and data-system tests, including API and contract testing, pipeline validation, and event-driven or streaming interfaces such as Kafka.
  • Strong programming skills in at least one language, such as Python, Kotlin, Java, TypeScript, JavaScript, or Ruby, with the ability to work in unfamiliar codebases.
  • Deep knowledge of unit, API, and end-to-end test design, data correctness at scale, CI/CD, and release quality gates.
  • Experience using AI to accelerate engineering and testing, with the ability to set direction independently and influence technical and business stakeholders.

Nice to have

  • Experience with data pipelines, data-operations tooling, financial or reference data, or evaluating AI and LLM output.
  • Hands-on end-to-end automation experience with Playwright.
  • BS or MS in a relevant technical field.

Culture & Benefits

  • Opportunity to contribute to a fast-growing company.
  • Competitive compensation with potential equity.
  • Lunch and recreational benefits.
  • Occupational health care.
  • Equal-opportunity workplace with reasonable accommodation for qualified employees where required by law.

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