AlphaSense

AlphaSense

Staff QE

Remote - United States · Staff+

Sponsorship not specified$148k-$204kDetected 6 days ago
JavaScriptTypeScriptPythonJavaRubyKotlinCI/CDKafkaData EngineeringLLMsAI OrchestrationRecruitingPlaywrightResearchLeadershipCommunication

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odds of building a lasting career here

59Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.

Lottery odds assume a STEM candidate.

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Employer immigration record

from this employer's Department of Labor filings

Green-card filing pattern in this occupation

Context, not a finding about this posting: of this employer's 3 green-card filings in this occupation, 100% were for a worker who already held the job.

Files H-1B transfers

7 transfer filings in the last year, covering 7 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

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About the role

  • As the Staff Quality Engineer dedicated to REDS, you will define how we prove our data is correct before it reaches customers.
  • Every insight on AlphaSense is tied to a company.
  • REDS turns records from many providers into one authoritative view, keeps it current, and supplies it to every part of the platform that depends on it, from search to company profiles.

Responsibilities

  • Own the quality strategy for AlphaSense's company reference data, built on quality by design and automation by default.
  • Define what "correct" means for company data, and build the golden datasets, labeled samples, and automated checks that prove it, including measuring match precision and recall and the tradeoff between false merges and false splits.
  • Build and grow scalable automation across our data, API, and event-driven interfaces, and decide what belongs at the unit, component, API, and E2E layers.
  • Partner with developers on test planning for new features, so automation is ready as the code is.
  • Bring AI into how the team designs, maintains, and triages tests.
  • We are committed to a work environment that supports, inspires, and respects all individuals.

Requirements

  • 8+ years of hands-on experience in quality engineering, including setting strategy for complex backend or data platforms.
  • Hands-on experience designing and automating tests for backend and data systems, including API and contract testing, data pipeline validation, and event-driven or streaming interfaces (e.g., Kafka).
  • Experience validating data correctness at scale, ideally in matching, identity, or pipeline-driven systems.
  • A track record of using AI to speed up engineering and testing.
  • Experience with data pipelines or data-operations tooling.
  • Hands-on E2E automation experience with Playwright
  • Experience with financial, company, or reference data.
  • Experience evaluating AI or LLM output.

Compensation

  • AlphaSense never asks candidates to pay for job applications, equipment, or training.
  • $148,350 - $203,550 USD

Benefits

  • Playing a part in the story of a fast-growing company
  • Lunch and recreational benefits
  • Occupational health care
  • You may also be offered equity, and a generous benefits program.

Company info

  • Reference Entity Data Services (REDS) owns the data that makes that possible:
  • one trusted record for every company, connected across all the sources we bring in.
  • When that foundation is right, customers find the right company and trust what they see.
  • Reference Entity Data Services (REDS) owns the data that makes that possible: one trusted record for every company, connected across all the sources we bring in.
  • Use production signals to focus effort where it reduces the most risk to customers.
  • You will set the strategy, build the practice from the ground up, and work closely with engineering and product leadership to make quality a measurable part of how the team ships.

Equal opportunity

  • In addition, it is the policy of AlphaSense to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations, and ordinances where a particular employee works.
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This listing is sourced directly from AlphaSense's careers page and normalized into a canonical job model.