Note: The job is a remote job and is open to candidates in USA. AlphaSense is a company that provides AI-driven market intelligence to help organizations make informed decisions. They are seeking a Staff Software Engineer to lead the design and development of their entity data platform, focusing on data ingestion, quality, and delivery to ensure accurate information for clients.
Responsibilities
- 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
- Balance AI-driven and 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
Skills
- 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
- End-to-end ownership from integration through entity generation to operational readiness
- 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
Company Overview
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