Product Manager, Data Feeds

YipitData is a fast-growing company specializing in alternative data feeds. They are seeking a Product Manager to own and scale their data feed products, contributing to product strategy, commercial accountability, and cross-functional collaboration.

Responsibilities:

• Own the product roadmap for one or more data feeds, defining, prioritizing, and evangelizing the what and the why behind what we build
• Set product vision and strategy that balances both internal customer needs (Quant research team requirements, analyst workflows) and external client needs (buy-side investors, quant/systematic funds)
• Translate business goals into a technical roadmap in close partnership with engineering, ensuring strategy matches technical reality
• Contribute to long-term feed portfolio strategy, identifying opportunities for new products, enhancements, and market expansion
• Share ARR and P&L accountability alongside Product Specialists / Product Enablement partners for the feeds you own
• Conduct deep customer and market research to understand use cases, the competitive landscape, and whitespace opportunities
• Support pricing, packaging, and competitive positioning decisions in partnership with GTM teams
• Partner with Engineering on technical approach, scaled infrastructure, delivery architecture, and reliability - you own strategy and direction; engineering owns implementation
• Work closely with Quant researchers, who function as a key internal customer providing research requirements, content, and deliverables for the external quant end market
• Collaborate with Product Specialists (our product-sales translators) to enable sales motions, support client conversations, and scale enablement across all feed products
• Partner with the CS team (who own feed retention and renewal) to drive retention, expansion, and client satisfaction
• Coordinate with Feed Operations on day-to-day delivery, incident management, and operational improvements
• Own the product-side accountability for data quality and reliability of your feeds - ensuring products are highly stable, accurate, and delivered on a consistent frequency
• Partner with engineering and data science teams on QA frameworks, including auto-QA systems, outlier detection, coverage checks, and data transparency metrics
• Define and own processes for incident communication - including client-facing notifications, data issue escalation, and resolution workflows
• Monitor operational health and proactively identify risks before they reach clients
• Own the client delivery experience end-to-end - including portal delivery, file formatting and notification systems
• Partner with product marketing on centralized, professional, client-facing documentation for the feeds you manage
• Ensure documentation is complete, accurate, and continuously updated as products evolve
• Contribute to the evaluation and management of additional data vendor relationships that underpin feed products
• Understand data licensing constraints, coverage, and quality implications when making product decisions
• Collaborate with data sourcing teams to assess new data opportunities and integration feasibility

Requirements:

• 5+ years of product management experience, with meaningful time spent in data-intensive, data feed, data solutions, or B2B SaaS product environments
• Strong cross-functional collaboration skills - you've worked at the intersection of engineering, data science, sales, and client success
• Excellent written and verbal communication - you can write a clear product spec, lead a roadmap review, and hold your own in a client meeting
• Comfort with ambiguity and change management - you thrive in environments where you're building the operating model, not just following one
• Strong analytical skills with hands-on experience working with data
• Experience owning a product P&L or demonstrable commercial accountability
• Familiarity with buy-side, quant, and systematic investor use cases (signal testing, backtesting, alpha generation workflows)
• Experience with alternative data products or the alternative data ecosystem
• Exposure to data delivery infrastructure (APIs, flat files, cloud storage, portal-based delivery)
• Familiarity with Databricks, Jira, and Agile project management methodologies
• Experience managing or partnering on third-party data vendor relationships
• Background in data quality, QA systems, or data operations