Senior Product Operations Manager
Quick Summary
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,

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.
About the Role
~2 min readYipitData’s Corporate team collaborates directly with organizations like Ulta, 3M, and Scotts Miracle-Gro to build one of the most comprehensive views into how consumers in the U.S. are purchasing and engaging with brands. By transforming massive volumes of consumer data into accurate, reliable, and actionable insights, we enable our clients to understand not just what is happening in their businesses, but why—and to use that understanding to make higher-confidence decisions in an increasingly competitive landscape.
One of the biggest challenges across the entire Corporate Data team over the next year is going to be effectively hiring, training, and scaling a large number of new Data team members at different levels and setting up scoreboards to track our goals effectively.
The Corporate team is rapidly growing, and we seek dedicated resources to stabilize and grow training and enablement functions across our Data teams. We are focused on building 0-1 systems to stabilize our rapid growth (best seen in hiring and onboarding), measuring what matters to drive impact with standardized scorecards, and working with data leaders to continue scaling best practices. Expect that this role will be cross-functional; you will work with applicants, employees in early onboarding, and with functional leaders to drive consistent, impactful change.
As part of our continued growth, we are excited to welcome a Senior Product Operations Manager to oversee the enablement functions for our technical teams and help us scale our team effectively.
This is a fantastic opportunity for someone with 6-8 years of experience who thrives in ambiguity & rapid growth, loves building systems that scale, and gets energy from helping people do their best work.
- Own, maintain and improve our onboarding, training and enablement assets and processes for new and existing employees
- Collaborate with Data team members and managers to ensure our training materials, best practices, and resources allow new hires to start contributing quickly and existing team members to maximize their efficiency
- Oversee key parts of our recruiting processes such as grading take-home assignments, interviewing candidates, and working closely with our recruiting teams to fill 10+ positions over the next six months
- Leverage AI tools to accelerate content creation, automate knowledge base maintenance, and identify gaps in training coverage
- Measure outcomes across all enablement and operations initiatives — onboarding ramp time, training effectiveness — and iterate based on data
- You have 6+ years of experience working in a technical enablement or technical operations function in a fast-paced, high growth environment
- You have experience building and running technical training programs, particularly for high-growth teams; you have experience scaling programs to match growth
- You have a data-driven mindset and have at least intermediate SQL and Python skills
- You have experience identifying KPIs or other internal metrics and have built automated trackers to measure accuracy and/or adherence to workflows
- You are a self-starter who takes ownership of ambiguous projects that are critical to driving impact on a team. You are comfortable working in a fast-paced, high-growth business and are able to aggressively prioritize your time across important initiatives.
- You can effectively manage many parallel processes at the same time
- You love working with new hires and building resources to support all team members continue to grow and develop
- You are excited about owning a new enablement and operations function and scaling high-performing teams of data analysts for a rapidly growing product
What We Offer
~1 min readLocation & Eligibility
Listing Details
- Posted
- September 3, 2026
- First seen
- September 4, 2026
- Last seen
- September 4, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 75%
- Scored at
- September 4, 2026
Signal breakdown

New datasets are being created every day and investors need to incorporate them to remain competitive.
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