July 19, 2018

Change Your Career Trajectory

Libby Unger | CEO & Co-Founder, GreenFig
Written by:

Libby Unger | CEO & Co-Founder, GreenFig

Webinar: How to demand a higher salary

Are you ready?

To increase your earning potential. Break out of the status quo. Smash your ceiling.

Change Your Future

In today’s digital economy, there is no shortage of quality, high-paying jobs. The problem is, there is a shortage of workers who possess the skills needed to obtain those jobs.

GreenFig is here to bridge that gap. We help talented individuals develop their digital skills and precisely match them to the needs of hiring companies. And, we do it quickly.

There are a host of reasons that you may need a digital skills upgrade. Perhaps you are a recent college graduate who needs to add real-world experience to your resume in order to improve your job prospects. You may be aiming for an internal promotion, but you need the latest digital tools to do it.  Or, as the head of a marketing department, you may be looking for ways to upskill your team in order to bring outsourced digital marketing initiatives in-house.

To be sure, there are other online education programs out there. But GreenFig is different. Our courses — focused exclusively on high-demand skills areas, such as digital marketing — take place in an accelerated experiential learning environment taught by current industry experts.

What does that mean for our learners? For starters, you need only commit to an average of 10 hours each week. Secondly, because our curriculum includes a real-world project for a real-world company, our students graduate with the know-how and experience necessary for a job-ready resume. Finally, since our instructors are experts in their fields, our students develop skills precisely matched to what hiring managers are looking for now, as well as invaluable industry connections and references.

At GreenFig, we do not email you reading materials and expect you to go it alone. Our unique hybrid approach combines live, interactive online and offline team-based learning with real-time, hands-on instruction laser-focus on skill development and job-readiness.

Attend our webinar on July 11 to learn:

  • What it means to be a business scientist in today’s digital economy
  • How to bridge the gap between a liberal arts degree and a job-ready resume
  • How current professionals can quickly update their skills for greater earning potential and career advancement
  • Details on our fall Digital Marketing course

Our webinar on July 11th, 2017 will also include a first-hand account from a recent GreenFig graduate. He will share his experience and explain how he leveraged his new skills and industry connections to obtain a quality position as a digital marketer.

Our graduates say they can have a conversation in an executive-level boardroom with confidence. You can, too. Find out how to change the trajectory of your career from status quo to rising star.

Register today

To lifelong learning,

Libby Unger

Co-founder and CEO


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We have had a number of conversations recently with founders, CEOs and product leaders who seem to be running into brick walls when selling their artificial intelligence (AI) / Machine Learning (ML)-based platforms and solutions to medium and larger enterprises. Whether the sales cycles extend too long (nine months and beyond) or decision-makers and key influencers aren’t aligned, ultimately, these deals don’t close. And when they do close, they end up closing as very small, limited pilots/POCs without strong internal ownership to get them to next level. At the same time, we also see other AI companies achieving the opposite. Much shorter cycles of three to six months, strong buyer and influencer alignment, and deals close with five, six, or seven-figure contracts, often with multi-year terms and the ability to expand their Annual Run Rates (ARR) significantly. We are seeing a pattern here. In fact, three key go-to-market capabilities play out again and again in the companies that are building category-leading AI businesses. It all comes down to complexity, consensus and connection. First, these leaders manage complexity. Second, they build and sustain consensus. Finally, they enable both rational and emotional connections to the solution and the desired outcome. Here’s how we break it down. Complexity — Manage It, Don’t Sell It We all know that building and delivering AI/ML-based technologies that drive strong, repeatable business results is complicated. In our view, today’s enterprise AI is characterized by three somewhat unique conditions that magnify its complexity:

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