Staff Software Engineer

🕒 Ontem

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $202.400 - $278.300 / ano

⏰ Tempo Integral

🔴 Especialista

🧑‍💻 Engenheiro Full-stack

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AlphaSense

SiteLinkedInTodas as Vagas

1001 - 5000 funcionários

Fundada em 2011

🤖 Inteligência Artificial

💸 Finanças

🏢 Corporativo

💰 Debt Financing em 2022-06

Artificial Intelligence • Finance • Enterprise

AlphaSense é uma plataforma de inteligência de mercado e busca utilizada pelas principais empresas e instituições financeiras do mundo. Desde 2011, nossa tecnologia baseada em IA tem ajudado profissionais a tomar decisões de negócios mais inteligentes ao entregar insights de um amplo universo de conteúdos públicos e privados — incluindo documentos regulatórios de empresas, transcrições de eventos, calls com especialistas, notícias, publicações especializadas e Equity Research. Nossa plataforma é utilizada e confiada por mais de 3.500 clientes corporativos, incluindo a maioria das empresas do S&P 500.

Descrição

• 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

🎯 Requisitos

• 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 (preferred) • Provenance, lineage, confidence-scoring, or quarantine/resolution workflows (preferred) • Integrating new data vendors end to end (preferred) • Cloud-native architectures and internal platforms shared across teams (preferred)

🏖️ Benefícios

• equity • generous benefits program