About this role
Lead the design and evolution of AlphaSense's global financial data extraction and normalization platform. Build distributed systems that ingest filings across formats (HTML, PDF, APIs, spreadsheets), extract and standardize financial data using AI and deterministic systems, and deliver trusted outputs at scale. Reduce human-in-the-loop dependency through confidence scoring, provenance tracking, and system reliability improvements.
Must have
10+ years of experience building and operating large-scale production systems
Proven experience designing data ingestion, extraction, or processing systems at scale
Deep expertise in distributed systems, data platforms, AI/ML extraction, or platform engineering
Demonstrated ability to design trustworthy systems combining probabilistic and deterministic approaches
Strong understanding of system reliability, observability, failure modes, and iterative hardening
Track record of technical leadership across teams without formal people management
Comfortable operating in ambiguity and driving clarity where none exists
Technologies
Responsibilities
Own the architecture and evolution of the large-scale data extraction and normalization platform
Design systems that process hundreds of thousands of records across heterogeneous sources with high reliability
Define and implement strategies to minimize human-in-the-loop validation through AI-based validation and confidence scoring
Establish clear system contracts for correctness, traceability, and confidence
Balance AI-driven approaches with procedural and rules-based systems for reliability and explainability
Identify and remediate architectural and operational bottlenecks impacting scale, accuracy, and developer velocity
Act as technical authority to block poor designs and redesign critical systems when necessary
Partner with product and downstream consumers to define quality bars, SLAs, and success metrics
Serve as 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
Benefits
Recruitment process
Role operates at the intersection of distributed systems, AI-driven extraction, data quality, and platform architecture
Mission is to systematically reduce human dependency by increasing system correctness, confidence, and trust
Platform is trusted by over 6,000 enterprise customers including majority of S&P 500
Company has more than 2,000 employees across offices in U.S., U.K., Finland, India, Singapore, Canada, and Ireland
AlphaSense acquired Tegus in 2024 to advance AI-driven market intelligence mission
Team values innovation, collaboration, and continuous improvement of platform
Company is committed to creating inclusive workplace where all employees feel valued
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