Product Manager, Financial Data - Screening & Search
New
J
JobgetherFinancial data
Remote work arrangement within CanadaFull-TimeManager
SalaryBase salary: $111,000–$139,000 CAD. Potential performance-based bonus. Equity opportunity.
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Job Details
- Experience
- At least 2 years of experience building and managing SaaS products in collaboration with engineering teams and Scrum teams.
- Required Skills
- SCRUM
Requirements
- At least 2 years of experience building and managing SaaS products in collaboration with engineering teams and Scrum teams.
- Experience working with financial data products and understanding how structured financial information supports research, analysis, screening, and investment-related workflows.
- Ability to own product roadmaps, manage feature delivery, and guide products from discovery and requirements definition through launch and iteration.
- Experience creating detailed product requirement documents, user stories, and roadmaps.
- Strong organizational skills and attention to detail, including the ability to prioritize and manage a complex product backlog.
- A discovery-oriented approach to understanding customer needs and the workflows of financial analysts, investment bankers, and corporate development professionals.
- Strong written and verbal communication skills for explaining product requirements, aligning cross-functional teams, and communicating priorities.
- A bachelor’s degree in Computer Science, Business, or a related field is required.
- Familiarity with AI-powered search, intelligent retrieval, or workflow technologies is an advantage.
Responsibilities
- Define and execute product roadmaps for financial data discovery, search, screening, and AI agent capabilities.
- Develop a product vision based on client personas, workflows, and pain points.
- Identify gaps in searchability, screening logic, and financial content structure, and prioritize improvements to tagging, indexing, ranking, and retrieval.
- Conduct customer discovery and turn client feedback into product requirements and PRDs.
- Collaborate with engineering, design, and go-to-market teams to define requirements, coordinate development, and support launches and adoption.
- Partner with data platform and AI/ML teams to structure financial content for search infrastructure and AI-powered tools.
- Lead product development from ideation and user stories through prioritization, delivery, launch, and post-launch iteration.
- Develop quality assurance strategies for search accuracy, screening precision, and AI agent retrieval reliability.
- Support reliable data delivery, efficient indexing, and dependable performance across search, screening, and AI-driven use cases.
- Manage the product backlog, communicate priorities, and keep stakeholders aligned.
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