About The Role:YipitData is building the default intelligence platform for anyone evaluating companies and markets. Our data feeds are central to that ambition, bringing proprietary and exclusively licensed data directly into our clients' research, investment, and business workflows.
We're looking for a Group Product Manager to lead and grow our Data Feeds product management team. You will own the strategy and performance of a portfolio of data products, develop a strong team of PMs, and help build 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, you 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. You should enjoy moving between portfolio decisions, coaching PMs, and working through the details of a product yourself.
Our opportunity extends beyond bringing more datasets to market. We are building differentiated products around clear customer problems, combining data and capabilities where they create greater value, and making our feeds easier to evaluate, integrate, and use. You will help determine where we invest, how our products fit together, and how we translate our data advantage into durable growth.
As Our Group Product Manager, Data Feeds, You Will: 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 the 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, while maintaining a high bar for product thinking and accountability.
Lead Product Portfolio Strategy and Execution- Own a cohesive product portfolio strategy aligned with the broader business direction set by the Head of Data Feeds, defining how our feeds fit together, serve customer needs, and deliver differentiated value.
- Guide PMs in developing product visions and roadmaps that strengthen both their individual products and the overall portfolio.
- Prioritize across product roadmaps and shared capabilities, balancing customer value, commercial opportunity, and available resources; partner with the Head of Data Feeds on broader investment decisions.
- 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 which offerings to scale, improve, consolidate, or retire, 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 practices the broader team can reuse.
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, working with Applications and client-facing teams.
- 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 the data history, consistency, and transparency required for rigorous evaluation.
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.
You Are Likely To Succeed If:- 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: you can 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 the 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.
What We Offer:Our compensation package includes comprehensive benefits, perks, and a competitive salary: - We care about your personal life, and we mean it. We offer flexible work hours, flexible vacation, a generous 401K match, parental leave, team events, wellness budget, learning reimbursement, and more!
- Your growth at YipitData is determined by the impact that you are making, not by tenure, unnecessary facetime, or office politics. Everyone at YipitData is empowered to learn, self-improve, and master their skills in an environment focused on ownership, respect, and trust. See more on our high-impact, high-opportunity work environment above!
- Base Salary + Performance-Based Bonus: The annual base salary range for this position is anticipated to be $190k - 205k, with eligibility for an annual performance-based bonus of up to 15%. Final compensation may be determined by a number of factors, including, but not limited to, the applicant's experience, knowledge, skills, abilities, and internal team benchmarks.
- The compensation package also includes equity.
This role may be performed fully remotely within the United States. Please note that our US headquarters are located in NYC. If the remote work is performed outside of these offices, income may be subject to New York State tax withholding.
