Product Manager, AdTheorent
Campaign Management
$100-150k
+ 20% bonus potential
More information about location
2-3 days a week in office
AI and ML-driven data solutions for advertising and marketing
Job no longer available
AI and ML-driven data solutions for advertising and marketing
201-500 employees
Job no longer available
$100-150k
+ 20% bonus potential
More information about location
2-3 days a week in office
201-500 employees
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
- Strong critical thinking, problem solving and analytical skills
- Understanding of ad tech stacks, Open RTB spec, programmatic buying platforms, DSPs, or SSPs
- Demonstrated ability to set priorities, deadlines, and coordinate projects with multiple parties
- Demonstrated ability to lead, design and execution of a multi-faceted product strategy
- Experience with Agile software development / Scrum methodology
- Understanding of the technical architecture of complex and highly-scalable web applications
- 3+ years of product management experience, preferably in ad-tech
- Undergraduate degree
Desirable
- Experience in building, designing, and managing products related to advertising agency and digital media in self- service platforms
What the job involves
- AdTheorent is seeking an experienced Product Manager to create the next generation of capabilities on AdTheorent’s Platform
- He/she will work closely with clients, internal stakeholders and developers to lead the enhancement of current product, certifications, and add capabilities in areas such as connected television
- Drive strategic vision for AdTheorent’s targeting, optimization and reporting capabilities by identifying and defining new features and enhancements
- Understand the technical capabilities of the Open RTB spec, Our DSP partners and its evolving integrations with SSP partners
- Create product strategy documents that describe business cases, high-level use cases, technical requirements, revenue opportunities and costs
- Translate product strategy documents into epics and detailed stories for the engineering teams to develop
- Collaborate with Product and Engineering on the development, QA, and release of products and balance of resources to ensure success for the entire organization
- Define Product success metrics for new projects
- Create monitoring and optimize product performance on a regular basis to ensure all are moving towards defined goals
- Work collaboratively with Executive, Product Marketing, Business Development, Sales, Account, Marketing, Data Sciences, and operations teams to drive product requirements and effectively launch, package, market, and support new products and features
- Collect and document feedback from internal and external users and to drive enhancements
- Create training documentation and demo new product features to end users
- Manage support issues for both internal and external stakeholders to ensure client satisfaction
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
Company Specialist at Welcome to the Jungle
Insights
-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.
Salary benchmarks
We don't have enough data yet to provide salary benchmarks for this role.
Submit your salary to help other candidates with crowdsourced salary estimates.
Share this job