Data and Product Operations Lead

talentpluto

Consumer Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 2+ years in consulting, strategy, operations, or intensive operations roles.
  • Adaptability to work across various functions and shifting priorities.
  • Experience thriving in a fast-paced, results-oriented environment.
  • Strong interpersonal skills with a focus on collaboration and low ego.
  • Background in private equity or investment banking is a plus.

Responsibilities

  • Own data sets end to end, from creation to delivery.
  • Collaborate with product, research, and deployment teams to set data goals.
  • Manage projects on the data platform, including speaker onboarding and QA coordination.
  • Work with engineering to address bug fixes and enhance automation.
  • Maintain high quality standards, prioritizing quality over speed.
  • Collaborate with researchers and ML engineers on data performance for model training.
  • Participate in customer-facing meetings as needed.

Benefits

  • Dynamic working environment with a focus on collaboration.
  • Opportunity to work on cutting-edge AI and voice technologies.
  • Engagement with various teams across the organization.
  • Direct involvement in the data product lifecycle.
  • Potential for equity participation in a growing company.
Full Job Description
Location: New York, NY

Work Model: In-person, 5 days in office

Industry: AI / human data (audio and voice)

Compensation: Up to $200K base, plus equity
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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