Note: The job is a remote job and is open to candidates in USA. YipitData is a fast-growing company specializing in data feeds, and they are seeking a Product Manager to own and scale their data feed products. This role involves shaping product strategy, ensuring data quality, and collaborating across teams to drive product success.
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
Skills
- 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
Benefits
- Flexible work hours
- Flexible vacation
- A generous 401K match
- Parental leave
- Team events
- Wellness budget
- Learning reimbursement
- Equity
- This role may be performed fully remotely within the United States
Company Overview