The West Coast VP of Sales reports to the CEO and is a member of the company’s executive team. He or she will be responsible for the direction and management of sales, including market competitiveness, pricing, compensation, and distribution and channel strategy. This position will include responsibility for business development.
We are looking for an experienced sales leader with strong relationships within the advertising ecosystem and an understanding of the digital ad ecosystem. The successful candidate will need to demonstrate a deep understanding of the ad industry dynamics and the ability to generate revenue stream and manage strategic relationships. You will work with agencies, DSPs, ad networks and key publishers. However, in this senior leadership role, the VP of Sales (West Coast) will need to work closely with the sales team based in New York, NY. References from prior sales position a must.
Establish sales pipeline to generate short, mid, and long terms revenue prospects. .
Lead revenue forecast and drive the closings timely.
Work closely with the executive team to develop, establish, and direct channel and distribution strategies and programs.
Nurture and grow existing several relationships with key strategic partners and evangelize EngageClick within the advertising industry.
Build relationships with strategic publishers and identify new potential revenue opportunities.
Desired Skills and Experience:
10+ years of digital advertising experience with 5+ years in a senior management position.
Extensive contacts and strong relationships with Agencies and/or Brands a must.
Proven evangelical sales track record in a new product/new market environment.
Experience with a specific sales methodology, sales funnel management.
Experience managing teams and leading virtual teams.
Technical understanding of key digital advertising technologies.
BA/BS degree required (MBA or equivalent work experience strongly preferred).
Senior Principal Software Engineer (Palo Alto, CA):
EngageClick is looking for a senior principal engineer to join our core team. The candidate will be responsible for highly scalable back-end architecture and the overall development of the stack. This candidate will work closely with the CTO.
The ideal candidate should be a quick learner, problem solver, and most importantly must be passionate about writing quality code.
M.S / Ph.D in Computer Science
Proficiency in Java.
Experience in architecting and building scaling, high performing, and robust stack from scratch
Experience with advertising technologies
Strong hands on persona profiling - cookie and ID based technologies
Strong knowledge of SQL and NoSQL databases.
Hadoop / Spark
Should be able to turn ideas into readable, fast and reliable code
Well versed in Linux operating systems / command line interface
AWS - Elastic Map Reduce paradigm.
Hands on Applied Machine Learning
We're looking for someone who has strong experience in building high performing advertising technologies and high traffic web marketing technologies.
Software Engineer (Data Science):
As a member of the data science team, you will develop and investigate hypotheses, structure experiments and build mathematical models to identify user preference for ads, optimize the serving of ads, predict and improve the overall performance of ads across display and video. We are looking for a sharp, disciplined, and highly quantitative individual who has a passion for mathematical modeling and machine learning applications.
Build mathematical models and automated machine learning tools to analyze and optimize the performance of ads.
Segment users based on their preference of ads.
Design and implement statistical tests to verify the performance of the models.
M.S. or higher in Computer Science, or related field.
3+ years specific experience with machine learning application.
Strong background in statistical or mathematical modeling.
Strong analytical and quantitative problem solving ability.
Solid understanding of statistical modeling / predictive analysis/ machine learning / data mining / recommender system concepts.
Proficient in Java.
Good presentation and communication skills.
Ability to prioritize and track multiple projects in parallel.
Experience on Unix/Linux OS.
Experience of Hadoop, Hive and Map/Reduce programming.