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Product Manager II, Financial Data - Screening & Search

Job in Burnaby, BC, B5B, Canada
Listing for: Wwshemi
Full Time position
Listed on 2026-10-23
Job specializations:
  • Business
    AI Business & Operations, Data Analyst, Business Systems & Technology Analysis
  • IT/Tech
    AI Business & Operations, Data Analyst, Business Systems & Technology Analysis
Salary/Wage Range or Industry Benchmark: 111000 - 139000 CAD Yearly CAD 111000.00 139000.00 YEAR
Job Description & How to Apply Below
About Alpha Sense:

Alpha Sense 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, Alpha Sense 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, Alpha Sense delivers the clarity and depth professionals need to navigate complexity and obtain accurate, real-time information quickly. For more information, visit  (). Come join us.

About the Team:

The Financial Data team at Alpha Sense is responsible for delivering the data foundation that powers our industry-leading market intelligence platform. We focus on sourcing, integrating, and surfacing structured datasets that enable clients to discover and act on insights in new ways. Our team is dedicated to delivering these datasets directly into our clients' most critical workflows.

About the Role:

We are seeking a Product Manager to own and define how our financial data is surfaced through search and agentic capabilities across the Alpha Sense platform. In this role, you'll sit at the intersection of our vast financial datasets and the systems that make that data discoverable, screenable, and actionable for end users and AI agents alike. You will be responsible for understanding how financial content is structured, indexed, and ranked so that it can be reliably surfaced through search, screening, and agentic workflows, defining the product experience that makes our data foundation a trusted input for both human analysts and AI-driven research.

You'll partner closely with engineering, design, and business stakeholders to define requirements, author PRDs, and lead the development of new features.

Who You Are :
  • An experienced Product Manager with a minimum of 5 years of experience building SaaS products in partnership with engineering and scrum teams.
  • Experienced in financial data products.
  • A clear, persuasive communicator who creates PRDs, roadmaps, and requirements that align stakeholders and drive execution.
  • Organized and detail-oriented, with a proven ability to manage a complex product backlog and deliver features end-to-end.
  • A strategic thinker with a discovery mindset, deeply curious about client workflows and pain points, especially those of financial analysts, investment bankers, and corporate development/deal teams.
  • A track record of owning roadmap and delivery in SaaS environments.
  • Familiarity with AI-powered search or workflow technologies is a plus.
  • Bachelor's degree in Computer Science, Business, or a related field required.

What You’ll Do:

  • Define and execute the short- and mid-term roadmaps for how financial data is surfaced through search, screening, and agentic capabilities, aligning with business objectives and client needs.
  • Contribute to the long-term Financial Data vision by building a deep understanding of client personas (e.g., analysts, bankers, corporate development professionals) and how they search, screen, and query financial content, both directly and through AI agents.
  • Continuously assess gaps in searchability, screening logic, and content structure, and prioritize improvements to how data is tagged, indexed, and ranked to close them.
  • Write and prioritize product requirements (PRDs) informed by customer discovery and client feedback, specifically related…
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