Data and Product Operations Lead
talentpluto
Early in your career, ownership matters. This role gives you that. You'll own data sets from start to finish at a company that treats data like a real product—not a side service. That means your work directly shapes what gets built and trained across the AI industry.
Your day-to-day: define what each data set should do with product and research teams, manage projects on the company's platform, onboard speakers and coordinate workflows, and solve for how your data actually performs when it trains models. You're the throughline between conception and delivery.
This fits you if you've got strong project management instincts, can learn data pipelines quickly, and care about quality. A technical background helps—computer science, statistics, or similar—but what matters more is that you can think like both an operator and a problem-solver. Portfolio projects showing data work, analysis, or systems thinking help your case.
talentpluto is fully remote and based in the United States. Base salary is $200K plus equity. To apply, submit your resume and a short note on why this role interests you through CareerJumpShip.
About this role
Location: United States (remote) Work Model: Fully remote Industry: AI / human data (audio and voice) Compensation: Up to $200K base, plus equity About the Company Our 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, 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. The Opportunity As 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. 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. 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 Requirements 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 an output-focused environment Low ego, naturally curious, and humble Bonus: background in PE/IB, MBB consulting, marketplace or heavy-operations companies, or early-stage startup ops Originally posted on Himalayas
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