Group Product Manager, Data Feeds

YipitData is the leading market research and analytics firm for the disruptive economy, recently raising $475M from The Carlyle Group at a valuation of over $1B. Their proprietary technology analyzes billions of alternative data points to uncover actionable insights across sectors like software, AI, cloud, e-commerce, ridesharing, and payments.

YipitData transforms raw data into strategic intelligence, delivering accurate, timely, and deeply contextualized analysis for clients ranging from top investment funds to Fortune 500 companies.

About The Role:

YipitData is building the default intelligence platform for anyone evaluating companies and markets. Their data feeds are central to this ambition, bringing proprietary and exclusively licensed data directly into clients’ research, investment, and business workflows.

They are seeking a Group Product Manager, Data Feeds to lead and grow their Data Feeds product management team. This role involves owning the strategy and performance of a portfolio of data products, developing a strong team of PMs, and building a more connected, scalable feeds business serving fundamental investors, quantitative and systematic funds, and corporate customers.

This is a player-coach role. Alongside managing the team and setting portfolio direction, the candidate will directly own a strategically important data feed or quant-focused feed initiative—from customer discovery and product strategy through development, launch, and ongoing performance.

Beyond bringing more datasets to market, the role involves building differentiated products around clear customer problems, combining data and capabilities where they create greater value, and making feeds easier to evaluate, integrate, and use.

Key Responsibilities:

Lead and Develop the Product Team

• Manage, coach, and grow a team of product managers, strengthening their customer discovery, strategic judgment, execution, and commercial ownership.
• Establish clear product responsibilities, goals, and decision-making expectations, giving PMs autonomy and support to own their products.
• Build effective practices for planning, roadmap reviews, customer feedback, and performance measurement.
• Recruit and develop talent as the team grows, maintaining a high bar for product thinking and accountability.

Lead Product Portfolio Strategy and Execution

• Own a cohesive product portfolio strategy aligned with broader business direction, defining how feeds fit together, serve customer needs, and deliver differentiated value.
• Guide PMs in developing product visions and roadmaps that strengthen both individual products and the overall portfolio.
• Prioritize across product roadmaps and shared capabilities, balancing customer value, commercial opportunity, and available resources.
• Work with PMs to validate use cases and commercial demand early, including during the evaluation of new data sources.
• Identify portfolio gaps, overlap, and opportunities to combine datasets, reuse methodologies, and extend products across customer segments.
• Use customer feedback and product performance to recommend scaling, improving, consolidating, or retiring offerings, and lead execution of agreed decisions.

Directly Own and Build Products

• Serve as the hands-on PM for a strategically important data feed or quant-focused feed initiative, owning its vision, roadmap, requirements, and outcomes.
• Lead customer discovery, investigate the underlying data, and translate customer needs into clear product decisions.
• Partner with Data, Engineering, Data Science, and Quant Research to assess feasibility, shape requirements, and bring products to market.
• Stay close to client evaluations and integrations, using feedback to improve the product and establish reusable practices for the broader team.

Drive Commercial Performance

• Share accountability with commercial partners for portfolio revenue growth, retention, expansion, and product economics.
• Partner with Revenue, Client Strategy, Product Marketing, and Solutions Consulting on pricing, packaging, positioning, and effective sales and evaluation processes.
• Build a clear portfolio story that helps customers understand which products meet their needs and how those products work together.
• Balance near-term client requests with repeatable market opportunities, ensuring commitments inform a scalable roadmap.
• Define and track success through customer adoption, evaluation conversion, time to value, retention, and commercial results.

Build a Consistent, Reliable Client Experience

• Establish product expectations for data quality, coverage, timeliness, documentation, and delivery across the portfolio.
• Partner with Data and Engineering on quality controls, monitoring, change management, and issue resolution.
• Improve how customers discover, evaluate, onboard, integrate, and receive ongoing support for feeds.
• Ensure clients can understand each product’s methodology, limitations, historical changes, and appropriate use cases.
• Help build a repeatable experience for quant and systematic customers, including data history, consistency, and transparency.

Connect Teams Around Shared Outcomes

• Align priorities and responsibilities across Product, Data, Engineering, Research, Quant, Applications, and commercial teams.
• Partner with Quant Research on systematic investor requirements and research-informed product improvements.
• Work with data sourcing and partnerships teams to evaluate opportunities against customer needs, licensing constraints, quality, and economics.
• Communicate strategy, tradeoffs, progress, and risks clearly to leadership and cross-functional partners.

Qualifications:

• Significant product management experience, typically 7+ years, including ownership of commercial data products, data feeds, or similarly data-intensive B2B products.
• Experience directly managing and developing product managers, with evidence of improving both team performance and individual growth.
• A track record of taking products from customer discovery through launch and scaling, with measurable customer and business outcomes.
• Strong portfolio judgment: ability to prioritize across products, allocate investment, and make difficult tradeoffs.
• Commercial fluency, including experience contributing to pricing, packaging, revenue growth, retention, or product economics.
• Hands-on analytical ability, including proficiency in SQL and comfort using Python to investigate data and assess product questions.
• Technical fluency in data products, including schemas, methodologies, quality, delivery mechanisms, and implications of product changes for clients.
• Excellent communication and cross-functional leadership skills, with the ability to align teams you do not directly manage.
• A desire to remain a hands-on product owner while building and leading a team.

Preferred Qualifications:

• Experience with alternative data, financial data, or investment research products.
• Familiarity with fundamental, quantitative, or systematic investment workflows, including dataset evaluation, backtesting, and integration.
• Experience building a portfolio that serves multiple customer segments or combines multiple data sources.
• Experience with third-party data partnerships, licensing considerations, and vendor dependencies.
• Familiarity with APIs, cloud-based data delivery, and data quality and operational reliability practices.