AlphaSenseRemote
Staff Software Engineer
United States of America
Full Time
1 week ago
$202,000 - $278,000 USD
H1B Sponsor Likely
Key skills
Distributed systemsData ingestionEntity resolutionData pipelinesReference data platformsPlatform engineeringAI-powered classificationSystem designArchitecture patternsIncident responseReliability engineeringAI-assisted resolutionConfidence scoringProvenance and lineage workflowsDeterministic matching rulesCloud-native architecturesTechnical decision makingAIMentoring
About this role
AlphaSense is a market intelligence company that provides insights powered by AI to help professionals make informed decisions. The Staff Software Engineer will lead the design and development of the entity data platform, ensuring data accuracy and reliability while reducing manual validation efforts.
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
Requirements:
- 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