Product Manager, Data Feeds

This is a fully remote position, open to applicants in United States.

📋 Description

• Take charge of the product roadmap for one or more data feeds.

• Establish the product vision and overall strategy.

• Convert business objectives into a technical roadmap.

• Contribute to the long-term strategy of the feed portfolio.

• Share accountability for Annual Recurring Revenue (ARR) and Profit & Loss (P&L).

• Conduct comprehensive customer and market research.

• Aid in decisions regarding pricing, packaging, and competitive positioning.

• Collaborate with Engineering on the technical approach.

• Work closely with Quant researchers.

• Partner with Product Specialists.

• Collaborate with the Customer Support team.

• Coordinate efforts with Feed Operations.

• Hold product-side accountability for data quality and reliability.

• Collaborate with engineering and data science teams on Quality Assurance (QA) frameworks.

• Define and manage processes for incident communication.

• Oversee the end-to-end client delivery experience.

• Collaborate with product marketing on centralized documentation.

• Contribute to the assessment and management of additional data vendor relationships.

• Work alongside data sourcing teams.

⛳️ Requirements

• Over 5 years of experience in product management.

• Strong skills in cross-functional collaboration.

• Exceptional written and verbal communication abilities.

• Ability to manage ambiguity and navigate change effectively.

• Solid analytical skills with practical experience in data handling.

• Experience in managing a product's P&L or demonstrable commercial accountability.

• Familiarity with buy-side, quantitative, and systematic investor use cases.

• Experience with alternative data products or the alternative data ecosystem.

• Exposure to data delivery infrastructure, including APIs, flat files, cloud storage, and portal-based delivery.

• Familiarity with Databricks, Jira, and Agile project management methodologies.

• Experience in managing or collaborating on third-party data vendor relationships.

• Background in data quality, QA systems, or data operations.

🏝️ Benefits

• Flexible work hours.

• Flexible vacation policy.

• Generous 401K matching.

• Parental leave.

• Team events.

• Wellness budget.

• Learning reimbursement.

• Equity opportunities.