Product Manager, Data Feeds

Our data feed business is one of the fastest-growing segments of YipitData. To accelerate that growth, we're looking for a Product Manager to own and help scale several of our data feed products. This is not a maintenance role. We are in the midst of a strategic transformation, moving towards a more centralized, commercially accountable product management model. You will be instrumental in shaping how that model works, establishing best practices, and driving both internal and external impact across a portfolio of high-value alternative data feeds.

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 and external client needs; Translate business goals into a technical roadmap in close partnership with engineering; 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; Work closely with Quant researchers, who function as a key internal customer providing research requirements, content, and deliverables; Collaborate with Product Specialists to enable sales motions, support client conversations, and scale enablement; Partner with the CS team 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; 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; 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

Nice to have

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

Benefits

10% variable bonus; equity; flexible work hours; flexible vacation; generous 401K match; parental leave; team events; wellness budget; learning reimbursement