Audience Product Manager, AdTheorent

$105-140k

+ 20% bonus potential

Senior level
New York

2-3 days a week in office

AdTheorent

AI and ML-driven data solutions for advertising and marketing

Open for applications

AdTheorent

AI and ML-driven data solutions for advertising and marketing

201-500 employees

B2BMarket researchMachine LearningSaaSData Analysis

Open for applications

$105-140k

+ 20% bonus potential

Senior level
New York

2-3 days a week in office

201-500 employees

B2BMarket researchMachine LearningSaaSData Analysis

Company mission

To use its advanced machine learning platform and privacy-forward solutions to deliver real-world value for advertisers and marketers.

Role

Who you are

  • At least 5 years of work experience
  • At least 2 years of experience in product management, ideally within the advertising technology space
  • Proven track record of successfully launching and managing audience targeting products
  • Deep understanding of programmatic advertising, data segments, and audience buying strategies
  • Strong analytical skills with experience in user research, data analysis, and product metrics
  • Excellent communication and collaboration skills, with the ability to effectively influence stakeholders across departments
  • Passion for innovation and a desire to push the boundaries of audience targeting technology

Desirable

  • Experience working with machine learning and artificial intelligence in an advertising context
  • Knowledge of OpenRTB protocols and programmatic integrations
  • Experience building and managing product roadmaps

What the job involves

  • AdTheorent is seeking a passionate and analytical Audience Product Manager to join our growing team
  • In this role, you will play a pivotal role in defining and driving the product roadmap for our audience activation and analytics solutions, ensuring they deliver exceptional value to our advertisers
  • Own the product vision for audience targeting solutions, identifying market needs, user pain points, and opportunities for innovation
  • Conduct in-depth user research to understand advertiser challenges and translate them into actionable product requirements
  • Collaborate with engineering, data science, partnerships and sales teams to develop and launch new audience targeting features and functionalities
  • Work closely with marketing to create compelling messaging and go-to-market strategies for audience products
  • Analyze product performance data and user feedback to identify areas for improvement and iterate on existing features
  • Stay abreast of industry trends in audience targeting, data privacy regulations, and programmatic advertising
  • Develop and maintain strong relationships with key partners in the ad tech ecosystem

Our take

Data is invaluable for advertisers and marketers, providing them with information regarding customer locations, purchasing trends, and other datasets that can help facilitate personalized and effective advertisements. However, the amount of data analysis required to achieve such actionable insights is impossible to tackle as a human, preventing businesses from making the most out of today's data-driven digital era.

AdTheorent provides data science solutions driven by machine learning, helping advertisers and marketers to gain actionable insights from large quantities of data that would otherwise be too much to analyze. Through its algorithms, the company enables its clients to benefit from predictive targeting and geospatial intelligence, whilst maintaining a cookie-free privacy approach that does not rely on one-to-one advertising.

Whilst machine learning is currently popular within the data analytics sector, AdTheorent has approached it by openly addressing modern risks associated with data privacy. The company has also taken a unified approach to data storage, storing a large range of industry-specific data to facilitate personalized marketing campaigns. The company has seen considerable growth since its IPO and has received numerous tech, product, growth, and workplace awards.

Kirsty headshot

Kirsty

Company Specialist

Insights

Few candidates hear
back within 2 weeks

-12% employee growth in 12 months

Company

Funding (2 rounds)

Sep 2013

$4m

SERIES A

Jan 2012

$1.2m

SEED

Total funding: $5.2m

Company benefits

  • Great health insurance through Oxford, low rates, 70% paid by the company
  • Reimbursed gym memberships
  • 20% Bonus potential for all employees
  • 20 PTO days, then in following years - 25 and 30 PTO days.
  • Lots of time off and bonus/stealth days are given throughout the year, in addition to floating holidays to choose at your discretion!

Company HQ

Hudson Square, New York, NY

Leadership

Jim Lawson

(CEO, not founder)

Experience as Advisor for Interaction LLC from 2006 to 2016. Managing Partner of Mogility Capital since 2011.

Josh Walsh

(Co-founder)

Project Manager for Catalyst Online from 2008 to 2009. Experience as Adjunct Professor of New York University.

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