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AlphaSense is a market intelligence platform trusted by over 6,000 enterprise customers, including a majority of the S&P 500. The company uses AI-driven search and insights to help sophisticated organizations remove uncertainty from decision-making. With 2,000+ employees globally and offices across the US, UK, Finland, India, Singapore, Canada, and Ireland, AlphaSense is a fast-growing B2B SaaS company.
The Quality Engineering (QE) team partners with engineering teams to own test strategy, coverage, and quality-by-design—not as a separate QA checkpoint, but as an enabler for shipping fast with confidence.
In this role, you will lead and manage a team of quality engineers, handling hiring, performance management, and career development while remaining hands-on enough to make technical calls on testing strategy and quality debt. This is a working manager position where technical credibility is as important as people skills.
Key responsibilities include:
- Hire, manage performance, and drive career growth for your QE team
- Make quality-related technical decisions: review merge requests, evaluate test plans, improve test strategy, and drive metrics on test coverage, customer issues, and quality debt
- Own execution and prioritization for your team's quality commitments
- Build and maintain dashboards and metrics that provide visibility into quality health
- Communicate a proactive, clear quality narrative to your manager and partner teams
- Partner closely with engineering managers, product managers, designers, and peer QE managers
- Establish team processes (release pipelines, test planning, escalations) that operate independently
- Own a portfolio-level view of quality across your domain
You will work in a distributed company with a Helsinki office where the team typically meets once per week. The role offers flexible working arrangements with an emphasis on outcomes over time.
REQUIREMENTS:
- 3+ years in a team management role
- 5+ years in quality engineering/QA at Senior/Staff+ level prior to management
- Proven experience managing QA/QE or test automation engineers
- Technical depth in test planning, test strategy, automation, and quality metrics
- Track record of building tools and processes that other teams adopt and rely on
- Ability to give specific, direct feedback as a coach
- Experience evaluating non-deterministic or generative outputs (LLM/GenAI features)
- Familiarity with eval frameworks, golden datasets, or scoring rubrics for measuring output quality
- Deep knowledge in at least one of: Kotlin, Python, JavaScript, or Java
- Strong understanding of testing methodologies and QA domain theory
- Experience with test automation frameworks
- Strong test design skills across all levels
- Experience with Test Management Systems (e.g., Allure TestOps)
- Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Kubernetes)
- Solid understanding of CI/CD and continuous delivery practices
- Fluency with AI tools, with a track record of using them to raise quality and speed up testing and delivery
BONUS:
- Exposure to search relevance or ranking quality
- Experience setting up and configuring CI/CD tools and pipelines
- Understanding of GraphQL
- Experience with Performance Engineering (k6 or similar) and Observability (OpenTelemetry/Grafana)
