--- title: 'Group Product Manager, Data Feeds at YipitData' canonical: 'https://feeny.ai/job/group-product-manager-data-feeds-yipitdata-united-states-h4jgdf57pns6' type: 'job' last_seen: '2026-10-12' --- # Group Product Manager, Data Feeds at YipitData - **Company:** YipitData - **Location:** United States - **Work type:** remote - **Posted:** 2026-09-25 - **Last confirmed live:** 2026-10-12 - **Apply:** https://job-boards.greenhouse.io/yipitdata/jobs/8233957 ## Job description About Us: YipitData is the leading market research and analytics firm for the disruptive economy and most recently raised $475M from The Carlyle Group at a valuation of over $1B. Every day, our proprietary technology analyzes billions of alternative data points to uncover actionable insights across sectors like software, AI, cloud, e-commerce, ridesharing, and payments. Our data and research teams transform raw data into strategic intelligence, delivering accurate, timely, and deeply contextualized analysis that our customers—ranging from the world’s top investment funds to Fortune 500 companies—depend on to drive high-stakes decisions. From sourcing and licensing novel datasets to rigorous analysis and expert narrative framing, our teams ensure clients get not just data, but clarity and confidence. We operate globally with offices in the US, APAC, and India. Our award-winning, people-centric culture—recognized by Inc. as a [Best Workplace](https://www.inc.com/profile/yipitdata) for three consecutive years—emphasizes transparency, ownership, and continuous mastery. What It’s Like to Work at YipitData: YipitData isn’t a place for coasting—it’s a launchpad for ambitious, impact-driven professionals. From day one, you’ll take the lead on meaningful work, accelerate your growth, and gain exposure that shapes careers. Why Top Talent Chooses YipitData: - Ownership That Matters: You’ll lead high-impact projects with real business outcomes - Rapid Growth: We compress years of learning into months - Merit Over Titles: Trust and responsibility are earned through execution, not tenure - Velocity with Purpose: We move fast, support each other, and aim high—always with purpose and intention If your ambition is matched by your work ethic—and you're hungry for a place where growth, impact, and ownership are the norm—YipitData might be the opportunity you’ve been waiting for. 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. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal opportunity employer. [Job Applicant Privacy Notice](https://www.yipitdata.com/careers/job-applicant-privacy-notice) ## About YipitData ## Company Overview - **One-liner**: YipitData provides real-time market intelligence and consumer insights by analyzing proprietary and licensed datasets from card transactions, receipts, web data, and app usage. - **Entity Type**: Private (late-stage; raised a $475M Series E round led by Carlyle) - **Headquarters**: New York City, NY, USA (19 W 44th Street, 16th Floor) - **Founded**: 2013 - **Founders**: Vinicius Vacanti (Co-Founder & CEO) ## Core Business - **Primary industry**: Data & Analytics / Market Intelligence - **Target customers**: B2B – primarily hedge funds, asset managers, and corporate strategy teams at brands and retailers. - **Mission or purpose**: “Give brands and investors the market intelligence they need to see what’s happening right now and take action.” ## Products & Services - **Insight Agent**: An AI-powered tool that answers natural-language questions about companies, markets, or competitors using structured, real-time data from 40+ proprietary sources. - **Proprietary Data Network**: A combination of owned B2C and B2B panels plus always-on sources (B2B spend, cloud spend, consumer receipts, card transactions) that powers all analytics. - **Consumer Insights**: Understand who is buying, how often, why – including cross-shopping, churn, and average spend. - **Benchmarking**: Compare public or private company growth, pricing, and customer metrics against competitors. - **Market Share Tracking**: See how much of a market a company owns, broken down by region, channel, or customer segment. - **M&A Advisory & Diligence**: Validate targets and stress-test assumptions with hard data on revenue trajectory and market position. ## Market Standing - **Valuation/Market Cap**: Not publicly disclosed (private company) - **Key Metric**: Total funding – $475M Series E round (led by Carlyle) - **Notable Investors/Partners**: Carlyle (lead investor in Series E); customers include Walmart, Worthington, and 650+ leading investors, brands, and retailers. - **Growth Signals**: 800+ employees globally; tracks $1.8 trillion in B2B spend; covers 500,000+ companies; launched AI Insight Agent; location-flexible model attracting talent across US, APAC, Latin America, and India. ## Competitive Advantages - **Proprietary data network** – a mix of owned panels and licensed transaction data that competitors cannot easily replicate. - **Real transaction data** – insights are grounded in actual spending, not model outputs, providing higher accuracy for high-stakes decisions. - **Dedicated analyst support** – YipitData pairs its data infrastructure with human analysts to help clients move from signal to action faster. - **Broad coverage** – 500,000+ companies and $1.8 trillion in tracked B2B spend give a comprehensive market view. ## Strategic Focus - **AI-powered insights** – the Insight Agent represents a push to make data queryable in plain language, reducing time from question to answer. - **Expanding data sources** – continuously adding new proprietary and licensed datasets to improve coverage and granularity. - **Global scaling** – growing headcount across APAC, Latin America, and India to support a distributed workforce and serve international clients. ## Why Work Here - **Culture**: Built on ten core values – Impact, Judgment, Protective, Efficiency, Transparency, Self-Improvement, Experimental, Selflessness, Inclusivity, Positivity. These are practical and guide daily decision-making. - **Work flexibility**: Location-flexible – supports fully remote, hybrid, and in-office options. Employees are spread across US cities, APAC, Latin America, and India. - **Compensation**: Competitive salary plus stock option eligibility. Benefits include 100% paid premium health plan option, dental, vision, 401k match, flexible vacation (enforced), flexible hours, and generous parental leave. - **Community**: Employee resource groups (ERGs), team outings, company lunches, all-hands events, both virtual and in-person. - **Engineering culture**: Leadership includes a CTO and VP of Engineering; the company emphasizes building proprietary data infrastructure and AI tools, offering engineers exposure to large-scale data pipelines and machine learning. ## Sources 1. [yipitdata.com – About page](https://www.yipitdata.com/about) 2. [yipitdata.com – Homepage](https://www.yipitdata.com/) 3. [yipitdata.com – Careers page](https://www.yipitdata.com/careers) 4. 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