Jobs / United States / Alphasense INC
Staff QE
Alphasense INC · 🇺🇸 Remote - United States · Remote
Sponsorship verdict
Sponsorship possible
One solid signal, not two — worth applying, and worth asking about sponsorship early.
- Employer is on a government sponsor recordThe US Department of Labor certified 9 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 1 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- Confirmed live todayWhen a source last listed this job as open.
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
A verdict summarises public evidence; it is not legal advice and never a guarantee — the employer and the immigration authority decide. Sign in to factor in where you can already work.
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Sponsor Radar — Alphasense INC
The US Department of Labor certified 9 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 1 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Alphasense INC →
About the role
About AlphaSense: AlphaSense is the AI platform redefining market intelligence and workflow orchestration, trusted by thousands of leading organizations to drive faster, more confident decisions in business and finance. The platform combines domain-specific AI with a vast content universe of over 500 million premium business documents — including equity research, earnings calls, expert interviews, filings, news, and internal proprietary content. Purpose-built for speed, accuracy, and enterprise-grade security, AlphaSense helps teams extract critical insights, uncover market-moving trends, and automate complex workflows with high-quality outputs. With AI solutions like Generative Search, Generative Grid, and Deep Research, AlphaSense delivers the clarity and depth professionals need to navigate complexity and obtain accurate, real-time information quickly. For more information, visit www.alpha-sense.com . Come join us. About the team Every insight on AlphaSense is tied to a company. 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. 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. When that foundation is right, customers find the right company and trust what they see. 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. 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. What You'll Do • Own the quality strategy for AlphaSense's company reference data, built on quality by design and automation by default. • Close test coverage gaps on our critical workflows: ingesting provider data, matching records, keeping identifiers stable over time, and delivering entity data and change events to the product teams that rely on them. • 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. • Set the quality measures and release standards the team uses to ship with confidence. • 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. • Anticipate data lifecycle risks such as provider data drift, schema changes, and late or conflicting records, and build regression coverage for them. • Partner with developers on test planning for new features, so automation is ready as the code is. • Use production signals to focus effort where it reduces the most risk to customers. • Bring AI into how the team designs, maintains, and triages tests. • Coach engineers and influence across teams to raise the quality bar. 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). • Strong skills in at least one programming language (such as Python, Kotlin/Java, TypeScript/JavaScript, or Ruby), and comfort working in unfamiliar codebases. • Deep expertise in test design across unit, API, and end-to-end layers, and judgment about where each belongs. • Experience validating data correctness at scale, ideally in matching, identity, or pipeline-dri