Product Manager, Financial Data - Private Markets & Deals
New
J
JobgetherFinancial data
Remote work arrangement in CanadaFull-TimeMiddle
SalaryBase salary: $100,000–$139,000 CAD. Potential performance-based bonus. Equity opportunity.
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Job Details
- Experience
- At least 2 years of experience in product management
- Required Skills
- Product ManagementSCRUMSaaS
Requirements
- At least 2 years of experience in product management, building SaaS products in collaboration with engineering and Scrum teams.
- Experience with financial data products and search solutions.
- Ability to own product roadmaps, define requirements, and deliver features from concept through launch.
- Experience creating product requirement documents, roadmaps, and clear specifications.
- Organizational skills and attention to detail to manage complex backlogs and competing priorities.
- Understanding of financial professionals’ workflows, challenges, and information needs.
- Understanding of private markets, shareholder information, deal data, due diligence, or deal sourcing workflows is relevant to the role.
- Familiarity with AI-powered search or workflow technologies.
- Strong written and verbal communication skills to explain product decisions and build alignment across cross-functional teams.
- A bachelor’s degree in Computer Science, Business, or a related field is required.
Responsibilities
- Define and execute short- and mid-term product roadmaps for private markets, shareholder, and deals content.
- Develop an understanding of customer personas, including financial analysts, investment bankers, and corporate development professionals.
- Use customer workflows in due diligence, deal sourcing, ownership analysis, and private market research to inform product strategy.
- Identify gaps in private markets, shareholder, and deals datasets and prioritize sourcing, coverage, and completeness improvements.
- Conduct customer discovery and turn client feedback into product requirement documents focused on coverage, quality, and discoverability.
- Partner with data platform teams on reliable data delivery, sourcing pipelines, and consistent performance.
- Establish quality assurance strategies for data coverage, accuracy, and completeness.
- Coordinate requirements and development with engineering, design, and go-to-market teams, and support product launches and adoption.
- Manage the product backlog and lead feature development from discovery through delivery and ongoing improvement.
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