Staff Software Engineer

🔥 5 minutes ago

🇨🇦 Canada – Remote

💵 $164.4k - $226.6k / year

⏰ Full Time

🔴 Lead

🧑‍💻 Full-stack Engineer

👻 Ghost score 0%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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AlphaSense

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2011

💼 Consulting

🏥 Healthcare

📣 Marketing

💰 Debt Financing on 2022-06

Consulting • Healthcare • Marketing

AlphaSense is a market intelligence and search platform that empowers companies to unlock critical insights across an extensive universe of public and private content, including company filings, broker research, expert calls, and market trends. Its AI-driven technology affords users the ability to conduct comprehensive due diligence with speed and accuracy, reducing uncertainty and blind spots in decision-making. Trusted by major corporations, financial institutions, and asset management firms globally, AlphaSense serves sectors such as financial services, health care, and technology by providing generative AI-powered solutions that integrate internal proprietary data with external premium content.

📋 Description

• 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 contracts for correctness and traceability, including source attribution and entity matching/creation rationale • Balance AI-driven and rules-based approaches to improve reliability and explainability • Deliver end-to-end integrations across ingestion, matching, entity generation, and delivery • Respond to production incidents and 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, including incident response, observability, and reliability improvements • Effective use of AI, testing, automation, and tooling • 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, vendor reconciliation, provenance, lineage, confidence-scoring, quarantine/resolution workflows, integrating new data vendors end to end, and cloud-native architectures/internal platforms

🏖️ Benefits

• Equity may be offered • Generous benefits program • Reasonable accommodation for qualified employees with protected disabilities, as required by applicable laws • Equal-opportunity work environment