Project Manager - Product Operations - AI Class...
@ DoubleVerify

New York, New York, United States
On Site
Posted 9 days ago

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Job Details

About DoubleVerify

DoubleVerify is a recognized market innovator with technology & tools that accurately authenticate the quality of digital media and drive ad performance for the world's largest brands. DV provides media transparency and accountability to deliver the highest level of impression quality for maximum advertising performance.

Since 2008, DV has helped hundreds of Fortune 500 companies gain the most from their media spend by delivering best-in-class solutions across the digital ecosystem that help build a better industry.

Position Overview

The Classification Operations team plays a critical role in product development by providing data + insights that help drive ontology-based and AI/ML initiatives. As a Project Manager on the team, you’ll ensure the quality of DV classifications by executing labeling/QA processes, project organization, and sprint-planning.

You’ll work both independently and collaboratively within the AI Classification department and also partner with Product, Policy, Data Science, Ontology, and other global teams (ex: Costa Rica, Tel Aviv, Helsinki, London) to evolve DV’s classification technologies.

This is a great mid-level opportunity for someone interested in online media and content management. You’ll build on your knowledge of the ad tech industry, the growing field of data labeling, and the online space across international markets. You’ll also learn popular tools and technologies, as well as valuable skills, that will help meet the needs of top advertising clients across industries, and you’ll contribute towards the mission of making the digital ecosystem safer, more transparent, and sustainable.

In order to be successful in this role, the candidate must:

  • Be a critical thinker who can identify and describe themes.
  • Consistently demonstrate strong understanding of category definition.
  • Be comfortable discussing sensitive or explicit content.
  • Be an independent worker but can collaborate with a team.
  • Possess strong attention to detail and QA mindset.
  • Be curious about news, pop culture, and online trends.
  • Be a strong communicator with stakeholder understanding.

Primary Job Responsibilities

  • Support proprietary workforce management processes daily.
  • Understand products and roadmaps for customer success.
  • Own key components within the team for process improvement.
  • Provide judgments for data labeling based on guidelines.
  • Train new team members on processes and procedures.
  • Deliver internal training and ensure quality of classifications.
  • Grow working relationships with key internal partners.

Skills & Background

  • Bachelor’s degree.
  • Knowledge of Google Workspace and/or Microsoft Office.
  • Functional fluency with JIRA, Confluence, Monday.com.
  • Language skills are a plus.

Salary will be determined based on qualifications, level, experience, location, and internal equity. The estimated salary range for this role is between [$75,000- $95,000], eligible for bonus/commission, equity, and benefits.

How to Get Hired at DoubleVerify

🎯 Tips for Getting Hired

  • Research DoubleVerify's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
  • Tailor your resume: Customize your experiences to align with the job description.
  • Engage with employees: Connect with current or past DoubleVerify employees on LinkedIn for insights.
  • Prepare for interviews: Anticipate questions related to project management and data classification.

📝 Interview Preparation Advice

Technical Preparation

Familiarize with project management tools like JIRA.
Understand classification tasks and best practices.
Learn about AI and ML basics in ad tech.
Review Google Workspace functionalities thoroughly.

Behavioral Questions

Describe a time you handled sensitive content responsibly.
How do you prioritize tasks in a fast-paced environment?
Tell me about a successful project you managed.
How do you handle feedback from team members?

Frequently Asked Questions