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AlphaSense

Builds AI search tools for market research

Engineering Manager - Qe

Engineering LeadershipConfirmed live in the last 24 hours
Full-timeLondon, UKNo salary listedIn-person

About the Job

Requirements

  • At least 3 years of experience in a team management role.
  • At least 5 years of experience in quality engineering or quality assurance, with Senior/Staff+ level experience prior to the managerial role.
  • Experience managing QA/QE or test automation engineers.
  • Technical depth in test planning, test strategy, automation, and quality metrics.
  • A track record of building tools and processes that other teams adopt and rely on.
  • Experience evaluating non-deterministic or generative outputs, including LLM/GenAI features.
  • Familiarity with evaluation frameworks, golden datasets, or scoring rubrics for measuring output quality.
  • Deep knowledge of at least one of Kotlin, Python, JavaScript, or Java.
  • Strong understanding of testing methodologies and QA domain theory.
  • Experience with different test automation frameworks.
  • Strong test design skills at all levels.
  • Experience with Test Management Systems such as Allure TestOps.
  • Experience with cloud platforms such as AWS, GCP, or Azure, and containerization with Kubernetes.
  • A solid understanding of CI/CD and continuous delivery practices.
  • Fluency with AI tools and a track record of using them to improve quality and accelerate testing and delivery.

Responsibilities

  • Hire, manage performance, and drive career growth for the team.
  • Make quality-related technical decisions, review MRs and test plans, improve test strategy, and drive metrics on test coverage, customer issues, and quality debt.
  • Own execution and prioritization for the team's quality commitments.
  • Build and/or maintain dashboards and metrics that provide visibility into quality health.
  • Communicate a proactive, clear quality narrative to the manager and partner teams.
  • Partner closely with engineering managers, product managers, designers, and peer QE managers.
  • Set up team processes, including release pipelines, test planning, and escalations, that hold up without requiring step-by-step oversight.
  • Own a portfolio-level view of quality.

Desired Qualifications

  • Exposure to search relevance or ranking quality.
  • Experience setting up and configuring CI/CD tools and pipelines.
  • A good understanding of GraphQL.
  • Experience with Performance Engineering tools such as k6 and observability tools such as OpenTelemetry or Grafana.

About the Company

AlphaSense

Builds AI search tools for market research

AlphaSense builds market intelligence software for investment professionals and corporate teams researching companies, competitors, and business trends. Its platform brings company filings, earnings calls, industry news, and expert interviews into a searchable library, so analysts work across sources rather than opening each document separately. AI tools interpret research questions, summarize findings, and link answers to the underlying material for review. Organizations also connect their internal research to the platform and pay subscription fees for access to its software and content. AlphaSense launched in 2011 and is headquartered in New York City.

Company size
1,001-5,000
Company stage
Late Stage VC
Total funding
$1.8B
Headquarters
New York City, New York
Founded
2011

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