Job description

About AlphaSense: AlphaSense is the AI platform redefining market intelligence and workflow orchestration, trusted by thousands of leading organizations to drive faster, more confident decisions in business and finance. The platform combines domain-specific AI with a vast content universe of over 500 million premium business documents — including equity research, earnings calls, expert interviews, filings, news, and internal proprietary content. Purpose-built for speed, accuracy, and enterprise-grade security, AlphaSense helps teams extract critical insights, uncover market-moving trends, and automate complex workflows with high-quality outputs. With AI solutions like Generative Search, Generative Grid, and Deep Research, AlphaSense delivers the clarity and depth professionals need to navigate complexity and obtain accurate, real-time information quickly. For more information, visit www.alpha-sense.com . Come join us. About the Team: Our diverse Product & Engineering team values innovation, collaboration, and the continuous improvement of our platform. We offer a dynamic work environment where employees can grow and thrive while working on cutting-edge technology that shapes the future of AI and search. At AlphaSense, we believe that diverse experiences and perspectives are critical to our success. We are committed to creating an inclusive workplace where all employees feel valued and empowered to be their authentic selves. About the Role: We are seeking a Staff Software Engineer to lead the design, evolution, and reliability of our global financial data extraction and normalization platform. This system ingests filings across formats (HTML, PDF, APIs, spreadsheets), extracts and standardizes financial data using a combination of AI and deterministic systems, and delivers trusted, traceable outputs at scale to downstream financial services teams and customers. This role owns the self-sourcing and extraction foundation used by multiple teams across the organization. Today, human validation is used as a safety net. Your mission is to systematically reduce human dependency by increasing system correctness, confidence, and trust, without sacrificing speed or scalability. You will operate at the intersection of distributed systems, AI-driven extraction, data quality, and platform architecture, raising the technical bar and reshaping how we build reliable systems. Who You Are: 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 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 What You’ll Do: 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 For base compensation, we set standard ranges for all roles based on function and level benchmarked against similar stage growth companies and internal comparables. In order to be compliant with local legislation, as well as to provide greater transparency to candidates, we share salary ranges on all job postings regardless of desired hiring location. Final offer amounts are determined by multiple factors including candidate experience/expertise and may vary from the amounts listed below. You may also be offered equity, and a generous benefits program. Compensation Range $176,000 — $242,000 USD AlphaSense is an equal-opportunity employer. We are committed to a work environment that supports, inspires, and respects all individuals. All employees share in the responsibility for fulfilling AlphaSense’s commitment to equal employment opportunity. AlphaSense does not discriminate against any employee or applicant on the basis of race, color, sex (including pregnancy), national origin, age, religion, marital status, sexual orientation, gender identity, gender expression, military or veteran status, disability, or any other non-merit factor. This policy applies to every aspect of employment at AlphaSense, including recruitment, hiring, training, advancement, and termination. In addition, it is the policy of AlphaSense to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations, and ordinances where a particular employee works. Recruiting Scams and Fraud We at AlphaSense have been made aware of fraudulent job postings and individuals impersonating AlphaSense recruiters. These scams may involve fake job offers, requests for sensitive personal information, or demands for payment. Please note: AlphaSense never asks candidates to pay for job applications, equipment, or training. All official communications will come from an @ alpha-sense.com email address. If you’re unsure about a job posting or recruiter, verify it on our Careers page . If you believe you’ve been targeted by a scam or have any doubts regarding the authenticity of any job listing purportedly from or on behalf of AlphaSense please contact us. Your security and trust matter to us.

Requirements

Must-haves

You will operate at the intersection of distributed systems, AI-driven extraction, data quality, and platform architecture, raising the technical bar and reshaping how we build reliable systems.
10+ years of experience building and operating large-scale production systems
Proven experience designing data ingestion, extraction, or processing systems at scale
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
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?”)
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

Nice-to-haves

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

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimldesign systems

Platform: greenhouse
Effort: quick