talentpluto
Data and Product Operations Lead
New York, New York, US
Role snapshot
talentpluto is hiring a Data and Product Operations Lead on a full-time basis. This is a hybrid role based in New York, New York, US.
- Company
- talentpluto
- Location
- New York, New York, US
- Work mode
- Hybrid
- Job type
- Full-time
- Experience
- 2+ years
- Posted
- Nov 7, 2026
Who this role suits
People with roughly one to three years of experience who can own small pieces of work with light guidance and want to widen their scope.
How to prepare your application
- Prepare two or three stories about work you owned end to end, including one thing that went wrong and what you changed.
- Read what talentpluto publishes about its product or team, so you can say clearly why this role and this company.
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About the role
Location: New York, NY
Work Model: Hybrid
Industry: AI / human data (audio and voice)
Compensation: $135K-$175K base, plus equity
About the CompanyOur partner is an audio and voice focused human data company that operates more like a research lab than a services shop. Rather than building one-off custom data sets and never seeing them again, they create and own off-the-shelf data sets they can iterate on, guided by in-house research and product leadership. They partner long-term with leading research labs and major technology companies, and the work is deep, intentional, and squarely focused on quality.
The OpportunityAs a Data and Product Operations Lead, you will own data sets end to end, from conception through delivery, treating the data itself as the product. This is far more than delivery work. You will partner across product, research, engineering, and deployment to define goals for each data set, manage the project to a high quality bar, and problem-solve how the data will perform when used to train machine learning models.
You will work in a small pod alongside a handful of teammates on each project, touching nearly every part of the business in a tight-knit, low-ego, and highly collaborative environment.
Responsibilities- Own data sets end to end, from conception through delivery
- Partner with product, research, and deployment teams to define goals for each data set
- Manage projects on the company's data platform, including onboarding speakers and coordinating QA
- Work closely with engineering on bug fixes, noise reduction, and automation
- Hold the quality bar, prioritizing quality over speed and volume
- Problem-solve with researchers and ML engineers on how data will perform in model training
- Occasionally join customer-facing meetings depending on the project
- 2+ years of experience in consulting, strategy and operations, or heavy operations roles
- Strong generalist who can work across many functions and adapt as priorities shift
- Comfort grinding through intense work in spurts in an output-focused environment
- Low ego, naturally curious, and humble
- Bonus: background in private equity or investment banking, MBB consulting with a strong promotion trajectory, two-sided marketplace or heavy-operations companies, or early-stage startup operations