Full-Time

Client Success Manager

Ad-Tech

Posted on 9/24/2024

Cognitiv

Cognitiv

51-200 employees

AI-driven digital advertising optimization platform

Data & Analytics
Consumer Software
AI & Machine Learning

Compensation Overview

$110k - $130kAnnually

+ Equity

Mid

New York, NY, USA

Hybrid work schedule: 3 days in office (Mon/Tue/Wed) and 2 days remote (Thursday/Friday).

Category
Customer Education & Training
Customer Success
Customer Success & Support
Required Skills
Data Analysis
Requirements
  • Bachelor’s degree in Business, Communications, Marketing and/or equivalent industry experience.
  • 4+ years overall work experience
  • At least 2 years of sales support/client-facing experience or Account Management in the digital media industry.
  • Background in programmatic advertising.
  • Direct hands-on experience with digital media activation and related concepts (DSPs, DMPs, tracking pixels, 3rd party tags, click trackers, viewability standards, etc.).
  • Excellent presentation and communication skills (written and verbal) and confidence speaking in front of groups.
  • Effective decision-making and time-management skills, planning and problem-solving with proven ability to identify and prioritize critical issues.
  • Proficient in Excel and ability to utilize large data sets to build insights and strategy recommendations.
  • Self-motivated, independent thinker and a team player, who is comfortable working in a dynamic and growing environment.
Responsibilities
  • Serve as the day-to-day relationship manager for campaign strategy, planning, execution and performance, while being an expert in Cognitiv capabilities and products.
  • Work closely and communicate effectively with operations and trading media strategists for effective media recommendations and successful campaign management.
  • Effectively utilize data and insights to apply campaign optimization strategies that exceed clients’ KPI goals, drive renewals and growth.
  • Develop and cultivate relationships with brand and agency clients to focus on ensuring client retention and satisfaction.
  • Drive ongoing internal operational efficiencies and platform performance through process optimization and client feedback to stakeholders (Product, Engineering and Marketing).
  • Support sales staff in all client related activities, such as onboarding, education and training, business reviews and planning.

Cognitiv.ai uses deep learning technology to improve digital advertising for businesses through its platform, NeuralMind™, which trains neural networks on client data. This technology enables companies to create custom ad buying algorithms that enhance audience targeting and ad placement, leading to better marketing results without needing data scientists. Unlike competitors, Cognitiv.ai focuses on automating ad buying and providing actionable insights to help businesses identify new consumer clusters. The goal is to maximize return on investment (ROI) for clients by optimizing their marketing strategies.

Company Stage

N/A

Total Funding

$3.2M

Headquarters

null, null

Founded

2015

Growth & Insights
Headcount

6 month growth

12%

1 year growth

43%

2 year growth

91%
Simplify Jobs

Simplify's Take

What believers are saying

  • Partnership with Adform expands AI-driven contextual targeting in Europe, boosting market reach.
  • Launch of Deep Learning Advertising Platform positions Cognitiv as a media buying pioneer.
  • Integration with Index Exchange enhances product offerings for advanced curation tools.

What critics are saying

  • AI algorithm complexity may lead to unintended biases in ad targeting.
  • Rapid AI evolution could render Cognitiv's solutions obsolete if innovation lags.
  • Differing European data privacy regulations may complicate ContextGPT deployment.

What makes Cognitiv unique

  • Cognitiv specializes in industry-specific Deep Neural Network products for Big Data decisions.
  • Their NeuralMind™ platform creates custom ad buying algorithms for optimized marketing.
  • Cognitiv's founders have deep experience in neural networks, engineering, and business leadership.

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