AlphaSense

The market intelligence and search platform trusted by over 3,500 leading organizations

Principal Software Engineer

Full-stack EngineerSoftware EngineerFull TimeRemoteTeam 1,001-5,000Since 2011H1B SponsorCompany SiteLinkedIn

Location

United States

Posted

42 days ago

Salary

$246K - $339K / year

Bachelor Degree15 yrs expEnglishCloudDistributed Systems

Job Description

• Own the architecture and evolution of our large-scale data extraction and normalization platform • Design systems that process hundreds of thousands of records across heterogeneous sources (PDF, HTML, APIs, XLS) with high reliability • Define and implement strategies to minimize human-in-the-loop validation through AI-based validation, confidence scoring, provenance tracking, and deterministic safeguards • Establish clear system contracts for correctness, traceability, and confidence (e.g., “where did this number come from?”) • Balance AI-driven approaches with procedural and rules-based systems where they improve reliability and explainabilityIdentify and remediate architectural and operational bottlenecks impacting scale, accuracy, and developer velocity • Act as the technical authority to block poor designs, redesign critical systems, and introduce new platforms or tooling when necessary • Partner with product and downstream consumers to define quality bars, SLAs, and success metrics • Serve as a technical escalation point for production issues, reliability failures, and systemic risks • Mentor senior engineers, shape technical culture, and raise expectations for system design and execution • Contribute to long-term technical strategy while remaining hands-on with critical implementations

Job Requirements

  • 15+ years of experience building and operating large-scale production systems
  • Proven experience designing data ingestion, extraction, or processing systems at scale
  • Deep expertise in one or more of:
  • Distributed systems
  • Data platforms and pipelines
  • AI/ML-powered extraction or classification systems
  • Platform or infrastructure engineering
  • Demonstrated ability to design trustworthy systems that combine probabilistic (AI) and deterministic approaches
  • Strong understanding of system reliability, observability, failure modes, and iterative hardening
  • Experience reducing operational or human overhead through better system design
  • Track record of technical leadership across teams without formal people management
  • Comfortable operating in ambiguity and driving clarity where none exists
  • Passion for using AI responsibly and effectively to deliver scalable, high-confidence systems
  • Nice to Have
  • Experience with document understanding, NLP, or financial data extraction
  • Experience building provenance, lineage, or confidence-scoring systems
  • Familiarity with cloud-native architectures and modern data stacks
  • Experience shaping or owning internal platforms used by multiple teams.

Benefits

  • You may also be offered equity, and a generous benefits program.

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