Staff Software Engineer

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 Role We are seeking a Staff Software Engineer to join Reference and Entity Data Systems (REDS) and own the design and evolution 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, 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 at scale - Deep expertise in one or more of: distributed systems, data pipelines, reference data platforms, platform engineering, or AI-powered classification and validation - Strong code, system design, and architecture pattern skills - Ability to design trustworthy systems combining probabilistic (AI) and deterministic approaches - Delivery excellence: incident response, observability, and reliability improvements that stick - Effective use of AI, testing, automation, and tooling to ship confidently - Track record of setting standards, driving technical decisions, and elevating peers through documentation and mentoring - Experience evolving or re-platforming live systems with many downstream consumers Preferred - Experience with company or financial reference data, or vendor reconciliation - Provenance, lineage, confidence-scoring, or quarantine/resolution workflows - Integrating new data vendors end to end - Cloud-native architectures and internal platforms shared across teams What You'll Do - Own the architecture and evolution of a major area of the entity data platform - Design systems that ingest and serve large volumes of heterogeneous vendor data at scale 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.