Staff Software Engineer
AI summary of the role
Staff Software Engineer owning the entity data platform (REDS) at AlphaSense, responsible for ingesting company data from global vendors, resolving it into authoritative records, and delivering accurate data to downstream teams and customers.
No longer in the current catalog. Last included 2026-09-09. Check the employer’s posting for availability.
What you’ll do
- Own the architecture and evolution of a major area of the entity data platform
- Design systems that process large volumes of heterogeneous vendor data with high reliability, freshness, and accuracy
- Reduce manual validation overhead through AI-assisted resolution, confidence scoring, provenance, and deterministic matching rules
- Establish clear contracts for correctness and traceability — e.g., which source supplied a field, why an entity was matched or created
What you’ll bring
- 8+ years building and operating large-scale production systems
- Proven experience with data ingestion, entity resolution, matching, or normalization at scale
- Deep expertise in distributed systems, data pipelines, reference data platforms, platform engineering, or AI-powered classification and validation
- Strong code, system design, and architecture pattern skills
Technologies
distributed systems · entity resolution · data pipelines · reference data platforms · AI-powered classification · cloud-native architectures · observability · incident response · data quality · platform engineering
About AlphaSense
AI search and market intelligence over equity research, filings, expert calls, and news, used by enterprise strategy and investment teams.
Series F
Source and classification
Internal deployment & tooling · Evidence for this classification:
entity data platform — ingesting company data from global vendors, resolving it into authoritative records, and delivering accurate, timely data to downstream teams and customers. REDS owns vendor ingestion, entity generation, data quality and freshness, and delivery to downstream consumers. If entity data is wrong, incomplete, or stale, everything downstream fails. Human validation still acts as a safety net in parts of the pipeline. Your mission is to systematically reduce that dependency by increasing correctness, confidence, and trust — without sacrificing speed or scale. You will operate at the intersection of distributed systems, entity resolution, data quality, AI-assisted decision-making, and platform architecture. Who You Are: 8+ years building and operating large-scale production systems Proven experience with data ingestion, entity resolution, matching, or normalization
More from the job description
About AlphaSense: The world’s most sophisticated companies rely on AlphaSense to remove uncertainty from decision-making. With market intelligence and search built on proven AI, AlphaSense delivers insights that matter from content you can trust. Our universe of public and private content includes equity research, company filings, event transcripts, expert calls, news, trade journals, and clients’ own research content. The acquisition of Tegus by AlphaSense in 2024 advances our shared mission to empower professionals to make smarter decisions through AI-driven market intelligence. Together, AlphaSense and Tegus will accelerate growth, innovation, and content expansion, with complementary product and content capabilities that enable users to unearth even more comprehensive insights from thousands of content sets. Our platform is trusted by over 6,000 enterprise customers, including a majority of the S&P 500. Founded in 2011, AlphaSense is headquartered in New York City with more than 2,000 employees across the globe and offices in the U.S., U.K., Finland, India, Singapore, Canada, and Ireland. Come join us! About the Team: Our diverse Product & Engineering team values innovation, collaboration, and the continuous improvement of our platform. We offer a dynamic work environment where employees can grow and thrive while working on cutting-edge technology that shapes the future [... source excerpt omitted ...] ion of our entity data platform — ingesting company data from global vendors, resolving it into authoritative records, and delivering accurate, timely data to downstream teams and customers. REDS owns vendor ingestion, entity generation, data quality and freshness, and delivery to downstream consumers. If entity data is wrong, incomplete, or stale, everything downstream fails. Human validation still acts as a safety net in parts of the pipeline. Your mission is to systematically reduce that dependency by increasing correctness, confidence, and trust — without sacrificing speed or scale. You will operate at the intersection of distributed systems, entity resolution, data quality [... source excerpt omitted ...] rules-based approaches where each improves reliability and explainability Deliver end-to-end integrations across ingestion, matching, entity generation, and delivery Respond to production incidents in your area; improve observability and reliability through iterative hardening Set engineering standards, mentor engineers, and partner with product and downstream consumers on quality bars and success metrics For base compensation, we set standard ranges for all roles based on function and level benchmarked against similar stage growth companies and internal comparables. In order to be compliant with local legislation, as well as to provide greater transparency to candidates, we s
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