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Salary: CAD 111,000 - 139,000 / annual
AlphaSense is an AI platform that redefines market intelligence and workflow orchestration, trusted by thousands of leading organizations. The platform combines domain-specific AI with over 500 million premium business documents—including equity research, earnings calls, expert interviews, filings, and news—to help teams extract critical insights and automate complex workflows.
The Financial Data team is responsible for delivering the data foundation that powers the platform's market intelligence capabilities. They focus on sourcing, integrating, and surfacing structured datasets that enable clients to discover and act on insights in new ways.
You will own and define how financial data is surfaced through search and agentic capabilities across the AlphaSense platform. You'll sit at the intersection of 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 it can be reliably surfaced through search, screening, and agentic workflows, defining the product experience that makes the data foundation a trusted input for both human analysts and AI-driven research.
Key responsibilities include:
- Define and execute short- and mid-term roadmaps for how financial data is surfaced through search, screening, and agentic capabilities, aligning with business objectives and client needs
- Build deep understanding of client personas (analysts, bankers, corporate development professionals) and how they search, screen, and query financial content
- Continuously assess gaps in searchability, screening logic, and content structure, prioritizing improvements to how data is tagged, indexed, and ranked
- Write and prioritize product requirements (PRDs) informed by customer discovery and client feedback, specifically related to search relevance, screening functionality, and retrievability of financial content by agentic systems
- Collaborate with engineering, design, and GTM teams to ensure successful product launches and adoption of new search, screening, and agentic features
- Partner with data platform and AI/ML teams to define how financial content should be structured and exposed for search infrastructure and agentic tools
- Lead the development lifecycle for new search, screening, and agentic capabilities from ideation through launch and post-launch iteration
- Identify and conduct QA 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
Requirements:
- Minimum 2 years of experience building SaaS products in partnership with engineering and scrum teams
- Experienced in financial data products
- Clear, persuasive communicator who creates PRDs, roadmaps, and requirements that align stakeholders and drive execution
- Organized and detail-oriented with proven ability to manage complex product backlog and deliver features end-to-end
- Strategic thinker with discovery mindset, deeply curious about client workflows and pain points, especially those of financial analysts, investment bankers, and corporate development/deal teams
- 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 related field required
