Digital Sales Planner, AdTheorent
$60k
+ 20% bonus potential
2-3 days a week in office
AI and ML-driven data solutions for advertising and marketing
Be an early applicant
AI and ML-driven data solutions for advertising and marketing
201-500 employees
Be an early applicant
$60k
+ 20% bonus potential
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
- Exceptional interpersonal skills on the phone, via video, via email, and in person
- 0-1 years of experience in similar position in the media/ad-tech space (i.e. media planner at digital media agency, sales planner at a digital publisher, ad network, etc.)
- A self-starting mindset, with the ability to make decisions quickly and react to a changing environment
- Deadline driven and organized, with good project management skills
- A strong grasp of PowerPoint, Outlook, and Excel
- Knowledgeable of the latest digital advertising trends and online media
- Bachelor's degree in a related discipline
What the job involves
- AdTheorent is currently seeking a Digital Sales Planner to join its team in NYC. This individual will support the East Coast Sales teams by leading brainstorming sessions to help crystallize ideas into actionable campaign solutions for advertisers, and by developing customized proposals, sales decks, client templates and vertical materials
- Day-to-day support of Sales team through development of proposal decks, client templates and sales deliverables
- Work alongside Creative, Sales, and Client Services to ensure optimal and timely proposal delivery of all materials
- Own pre-sales plan pricing, inventory forecasting, and plan revisions
- Work with the Sales team to keep Salesforce fully up to date and the pipeline current
- Build and maintain positive communication between internal teams
- Work closely with other members of the Strategy team to balance resources and to ensure success for the entire organization
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
Insights
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
Articles
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
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