Strategist, EMEA

Posted 9 Days Ago
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Middle East
Senior level
Artificial Intelligence • Big Data • Machine Learning
The Data Platform for AI: High quality training and validation data for AI applications.
The Role
The Public Sector Strategist will lead efforts in acquiring and growing business within the EMEA region, focusing on AI solutions for public sector clients. Responsibilities include developing revenue strategies, building strong relationships with stakeholders, and successfully closing complex sales. The role requires cross-functional collaboration and the ability to communicate technical concepts effectively.
Summary Generated by Built In

The Public Sector Strategist is responsible for growing the International Public Sector business unit and partnering with technical stakeholders to identify and win major opportunities in Public Sector accounts across EMEA. You will develop and execute on a strategy for customer acquisition, navigating a dynamic and often unstructured environment to make impactful decisions. This is a highly technical role that requires the following:

  • A deep understanding of AI and data and the ability to articulate technical concepts in simple, precise language
  • Experience successfully navigating governments and senior stakeholders across EMEA
  • Working cross-functionally with Scale Leadership, Product, Marketing, Legal, Finance, Operations, and Compliance to ensure customer success 
  • Ability to earn trust and develop close relationships with key decision-makers and influencers within accounts
  • Ability to build business cases to show the impact and value of the custom LLMs Scale will build 

You will:

  • Work closely with Scale’s Managing Director, the Head of Growth, Head of EMEA and GM of International Public Sector on the overall revenue strategy across EMEA Public Sector
  • Be responsible for mapping AI use cases to platform and consumption revenue across public sector accounts
  • Be responsible for demonstrating value and impact associated with each Public Sector use case  
  • Orchestrate and work with teams cross-functionally to maximise the impact on your book of business
  • Build value with all engagements to promote successful negotiations to close, partnering with the global sales organisation 
  • Drive high degrees of client satisfaction as demonstrated through continued partnership and growth
  • Build trust and credibility with clients, acting as a reliable AI advisor beyond the core operating capacity of projects

Ideally, you’d have:

  • 5+ years of public sector sales experience, and/or sales experience in complex environments  
  • Experience defining requirements and building strategies to effectively scale revenue through early product development
  • A track record of personally selling and closing complex solutions to public sector accounts in the deal size of $500K to $5M +
  • 2+ years of experience selling deeply technical products to technical audiences (ML engineers, data scientists, data engineers)
  • Experience selling both to business and technical audiences simultaneously
  • Demonstrated success by achieving quota on a consistent basis
  • UK Security Check (SC) clearance, Developed Vetting (DV) is a plus
  • Passion for what you do and the creativity and willingness to think outside of the box
  • Demonstrated ability to develop strong consultative relationships with external partners and internal cross-functional teams at all levels. 
  • Experience creating, developing, and communicating executive-level materials

PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.

About Us:

At Scale, we believe that the transition from traditional software to AI is one of the most important shifts of our time. Our mission is to make that happen faster across every industry, and our team is transforming how organizations build and deploy AI.  Our products power the world's most advanced LLMs, generative models, and computer vision models. We are trusted by generative AI companies such as OpenAI, Meta, and Microsoft, government agencies like the U.S. Army and U.S. Air Force, and enterprises including GM and Accenture. We are expanding our team to accelerate the development of AI applications.

We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an affirmative action employer and inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. 

We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at [email protected]. Please see the United States Department of Labor's Know Your Rights poster for additional information.

We comply with the United States Department of Labor's Pay Transparency provision

PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

Top Skills

AI
The Company
San Francisco, CA
523 Employees
On-site Workplace
Year Founded: 2016

What We Do

Scale accelerates the development of AI applications by helping machine learning teams generate high-quality ground truth data. Our advanced LiDAR, image, video and NLP annotation APIs allow machine learning teams at companies like OpenAI, Lyft, Pinterest, and Airbnb focus on building differentiated models vs. labeling data.

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