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AlphaSense

Builds AI search tools for market research

Product Manager 2 - Financial Data, Screening & Search

Technical Product ManagementConfirmed live in the last 24 hours
Full-timeRemote in CanadaRemote

About the Job

Requirements

  • A minimum of 5 years of experience building SaaS products in partnership with engineering and scrum teams.
  • Experience with financial data products.
  • Ability to create product requirements documents, roadmaps, and requirements that align stakeholders and drive execution.
  • Ability to manage a complex product backlog and deliver features end-to-end.
  • Understanding of client workflows and pain points, especially those of financial analysts, investment bankers, and corporate development or deal teams.
  • A track record of owning roadmap and delivery in SaaS environments.
  • A Bachelor's degree in Computer Science, Business, or a related field.

Responsibilities

  • Define and execute short- and mid-term roadmaps for surfacing financial data through search, screening, and agentic capabilities, aligning with business objectives and client needs.
  • Contribute to the long-term Financial Data vision by developing an understanding of client personas and how they search, screen, and query financial content directly and through AI agents.
  • Assess gaps in searchability, screening logic, and content structure, and prioritize improvements to data tagging, indexing, and ranking.
  • Write and prioritize product requirements informed by customer discovery and client feedback, particularly for search relevance, screening functionality, and retrieval of financial content by agentic systems.
  • Collaborate with engineering, design, and go-to-market teams to support successful product launches and adoption of search, screening, and agentic features.
  • Partner with data platform and AI/ML teams to define how financial content is structured and exposed for search infrastructure and agentic tools.
  • Lead the development lifecycle for search, screening, and agentic capabilities, from ideation and user stories through launch and post-launch iteration.
  • Identify and conduct quality assurance strategies for search accuracy, screening precision, and reliability of agentic retrieval over financial content.
  • Work with core data platform teams to ensure seamless data delivery, indexing performance, and reliability for search, screening, and agentic use cases.

Desired Qualifications

  • Familiarity with AI-powered search or workflow technologies.

About the Company

AlphaSense

Builds AI search tools for market research

AlphaSense builds market intelligence software for investment professionals and corporate teams researching companies, competitors, and business trends. Its platform brings company filings, earnings calls, industry news, and expert interviews into a searchable library, so analysts work across sources rather than opening each document separately. AI tools interpret research questions, summarize findings, and link answers to the underlying material for review. Organizations also connect their internal research to the platform and pay subscription fees for access to its software and content. AlphaSense launched in 2011 and is headquartered in New York City.

Company size
1,001-5,000
Company stage
Late Stage VC
Total funding
$1.8B
Headquarters
New York City, New York
Founded
2011

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