Technical Product Manager

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 for three consecutive years—emphasizes transparency, ownership, and continuous mastery.

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.

• We are looking for a Technical Product Manager to help shape the evolution of our Central Data Platform. In this role, you'll define and prioritize platform capabilities that enable scalable, reliable, and reusable data solutions supporting both internal teams and client-facing products.
• You'll partner closely with Product Analysts, Data Engineering, and Business Units to understand business needs, translate them into technical requirements, prioritize platform investments, and drive execution from concept through adoption. Success in this role requires strong product judgment, technical fluency, and the ability to align stakeholders around a shared platform vision.

• →Own the Central Data Platform Roadmap
• →Define and prioritize the roadmap for Central Data Platform capabilities.
• →Identify opportunities to centralize, standardize, and productize data capabilities across the business.
• →Balance competing priorities, tradeoffs, and technical constraints to maximize business value.
• →Communicate roadmap decisions, priorities, and delivery progress to stakeholders.
• →Define Product Requirements
• →Translate business problems and analyst needs into clear product requirements.
• →Create user stories, acceptance criteria, rollout plans, and success metrics.
• →Ensure requirements balance scalability, maintainability, performance, and speed to delivery.
• →Partner with engineering to ensure solutions accurately reflect business logic and technical requirements.
• →Lead Cross-Functional Execution
• →Partner with Product Analysts, Data Engineering, and Business Units throughout the product lifecycle.
• →Align stakeholders on priorities, timelines, dependencies, and delivery plans.
• →Identify risks, remove blockers, and drive execution across multiple teams.
• →Create transparency around delivery status and platform capabilities.
• →Drive Platform Adoption and Continuous Improvement
• →Partner with teams to validate functionality, data quality, and successful releases.
• →Measure adoption and business impact of platform capabilities.
• →Identify opportunities to simplify workflows, improve data quality, and increase reuse of platform investments.
• →Incorporate user feedback and performance metrics into future roadmap decisions.

• 5+ years of experience in Technical Product Management, Product Management, Data Product Management, Technical Program Management, Data Engineering, Data Analytics, or a related field.
• Experience with central data platforms, data infrastructure, data products, or enterprise analytics platforms.
• Familiarity with SQL, data modeling, ETL/ELT workflows, APIs, cloud platforms, or modern data tooling.
• Experience supporting customer-facing data products or business-unit-specific analytics use cases.
• Background working closely with Product Analysts, Data Engineering, or Business Unit stakeholders.
• Experience improving data governance, reusability, auditability, or platform adoption.
• Familiarity with Agile delivery, Jira, Confluence, dbt, Snowflake, Databricks, Airflow, Looker, Tableau, or similar tools.