Data and Product Operations Lead at talentpluto

New York, New York, United States -

Full Time

Start Date

Immediate

Expiry Date

13 Oct, 26

Salary

200000.0

Posted On

15 Jul, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Operations, Product Operations, Project Management, Quality Assurance, Cross-functional Collaboration, Machine Learning Data Training, Strategy and Operations, Consulting, Problem Solving, Stakeholder Management

Industry

technology;Information and Internet

Description

Location: New York, NY Work Model: Hybrid 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 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 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. 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 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 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

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Responsibilities

Own data sets end-to-end from conception to delivery, treating data as a product. Partner with product, research, and engineering teams to define goals and ensure high-quality data for machine learning model training.