AlphaSense is a market intelligence and search platform used by the world’s leading companies and financial institutions.
Since 2011, our AI-based technology has helped professionals make smarter business decisions by delivering insights from an extensive universe of public and private content—including company filings, event transcripts, expert calls, news, trade journals, and equity research.
Our platform is trusted by over 3,500 enterprise customers, including a majority of the S&P 500.
Headquartered in New York City, AlphaSense employs over 1,000 people across offices in the U.S., U.K., Germany, Finland, and India.
For more information, please visit www.alpha-sense.com.

AlphaSense

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product-manager

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.

AlphaSense is a market intelligence and search platform used by the world’s leading companies and financial institutions. Since 2011, our AI-based technology has helped professionals make smarter business decisions by delivering insights from an extensive universe of public and private content—including company filings, event transcripts, expert calls, news, trade journals, and equity research. Our platform is trusted by over 3,500 enterprise customers, including a majority of the S&P 500. 

Headquartered in New York City, AlphaSense employs over 1,000 people across offices in the U.S., U.K., Germany, Finland, and India. For more information, please visit www.alpha-sense.com.

• Drive ownership - Own and evolve the existing structured financial data taxonomy library at AlphaSense, inclusive of all client-facing labels, metric definitions and dataset classifications, ensuring both backwards compatibility and future proofing.
• Set the standard - Understand existing naming standards and define how label conventions and governance principles apply across a growing range of data types, ensuring clients can intuitively discover, understand, and leverage the data Alpha-Sense has to offer.
• Collaborate cross-functionally with engineering, data, product, sales, and client-facing teams to align stakeholders on taxonomy decisions and translate conceptual frameworks into scalable, production-ready systems
• Serve as the internal subject matter expert on data semantics, and develop and maintain official internal and external documentation ensuring taxonomy standards are clearly articulated and accessible to all stakeholders
• Proactively identify gaps and inconsistencies as new datasets are onboarded, and drive resolution in a structured and scalable way
• Design and maintain taxonomy and data structures with AI and LLM compatibility as a core consideration, ensuring labels, definitions, and conventions support model training, inference, and broader AI-driven automation
• Lay the foundation for a future taxonomy practice — building repeatable frameworks and positioning this function for team growth over time

Product Manager

Product Manager specializing in Taxonomy at AlphaSense, driving ownership of the financial data taxonomy library. Collaborating cross-functionally to ensure standards and accessibility for clients.

full-stack-engineer

• Lead and Build the GTM Engineering Function
• Set the technical direction, operating model, and standards for the team
• Recruit, develop, and retain GTM Engineers as the function grows
• Stay hands on. Ship alongside the team on the highest leverage problems
• Define what good looks like for discovery, build quality, and impact measurement
• Drive Automation and AI Across Revenue Workflows
• Identify where automation and AI can replace manual work, accelerate execution, or unlock new capabilities
• Build durable automation patterns using AI agents, integration platforms, scripting, and Salesforce native tooling
• Own the standards for how AI gets deployed safely in revenue workflows, in partnership with the AI Council and broader Revenue Technology org
• Partner Directly with Revenue Leaders
• Build trust with Sales, Marketing, CS, and Operations leaders to surface the right problems and align on priorities
• Translate revenue strategy into engineering work, and engineering work into business outcomes
• Operate as a credible technical voice in cross functional forums
• Ship Practical Solutions with Speed
• Lead the team in delivering iterative, measurable improvements
• Balance quick wins against larger initiatives that require formal prioritization
• Maintain a tight feedback loop between build, validate, and refine
• Strengthen the Revenue Technology Operating Model
• Partner with Program Management on landing and scaling accelerator programs
• Coordinate with Salesforce administration, Revenue Systems (Q2C), and Revenue Tools to ensure GTM Engineering work integrates cleanly with the broader platform
• Contribute to roadmap, capacity, and investment decisions across Revenue Technology

Senior Manager, GTM Engineering

Senior Manager leading GTM Engineering function and driving automation and AI in revenue workflows at AlphaSense. Collaborating with Sales, Marketing, and Customer Success teams to deliver impactful results.

product-analyst

• Support development and execution of the FinData product roadmap.
• Translate product goals into clear, actionable requirements for engineering teams.
• Develop mockups, wireframes, and schematics to communicate concepts and requirements.
• Define business logic and relationships to maintain accurate and predictable system behaviors.
• Query internal PostgreSQL/Snowflake/Athena databases to identify key data-related insights and/or high impact data gaps.
• Conduct detailed screening and data validation to support robust quality-assurance practices.
• Propose design concepts and enhancements to address technical challenges and optimize system performance.
• Develop and maintain product documentation to ensure alignment between all stakeholders.
• Coordinate project prioritization, dependencies, and sequencing across teams and initiatives.
• Support project planning activities, including timeline estimation, scheduling, and tracking.
• Contribute to product and feature release documentation and communicate new functionality to internal stakeholders.
• Work collaboratively with engineers, analysts and product managers.

Product Analyst, Financial Data

Join AlphaSense as a Product Analyst in Financial Data, supporting product management decisions. Collaborate with engineering teams for data-driven solutions in financial markets.

• 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 explainability
• Identify 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

Principal Software Engineer

Principal Engineer leading the design and reliability of financial data extraction platform at AlphaSense. Focusing on AI-driven processes and reducing human dependency in data handling.

Staff Software Engineer

Staff Software Engineer leading the design and reliability of financial data extraction platform. Collaborating on AI-driven systems at AlphaSense, which specializes in market intelligence and search.

AlphaSense is a market intelligence and search platform used by the world’s leading companies and financial institutions. Since 2011, our AI-based technology has helped professionals make smarter business decisions by delivering insights from an extensive universe of public and private content—including company filings, event transcripts, expert calls, news, trade journals, and equity research. Our platform is trusted by over 3,500 enterprise customers, including a majority of the S&P 500. Headquartered in New York City, AlphaSense employs over 1,000 people across offices in the U.S., U.K., Germany, Finland, and India. For more information, please visit www.alpha-sense.com.

AlphaSense

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5 jobs found

Product Manager

AlphaSense

Senior Manager, GTM Engineering

AlphaSense

Product Analyst, Financial Data

AlphaSense

Principal Software Engineer

AlphaSense

Staff Software Engineer

AlphaSense