Role at a glance
- Job function
-
Sales Technical Sales & Sales Engineering
- Salary
- Not Disclosed
- Location
- Doha, Qatar Dubai, UAE
- Work arrangement
- On-site
- Employment
- Full-time
- Experience
- 10+ years of experience in Solutions Engineering, Sales Engineering, or Technical Consulting, with 4+ years in a leadership capacity.
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Role Summary
The Head of Solutions Engineering leads and grows Scale’s technical pre-sales function across EMEA, bringing its AI services to customers from discovery through pilot, deployment, and production success. The role builds a scalable regional organization and partners with Sales, Product, and Engineering to demonstrate technical value, architect customer solutions, and support go-to-market execution.
What You'll Do
- Partner with Sales and regional leadership on technical strategy, qualification, and execution for complex deals.
- Define and operationalize repeatable pre-sales processes, tools, and playbooks.
- Recruit, mentor, and enable a distributed Solutions Engineering and Solution Architecture team across EMEA.
- Lead the technical discovery, demo, and proof-of-concept lifecycle.
- Represent Scale’s platform and technology capabilities to executives, technical stakeholders, and partners.
- Collaborate with Product and Engineering on customer insights, roadmap discussions, and feature design.
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
10+ years in Solutions Engineering, Sales Engineering, or Technical Consulting, including 4+ years in leadership; experience building and scaling technical pre-sales or customer engineering teams across multiple markets; knowledge of cloud architecture, enterprise infrastructure, API-driven products, AI/ML technologies, data platforms, and modern model deployment practices; hands-on ability building prototypes; executive presence; cross-functional collaboration; commercial and strategic mindset; experience in diverse, fast-evolving markets; willingness to travel frequently across EMEA.
Required
- Solutions Engineering, Sales Engineering, or Technical Consulting experience
- 4+ years in a leadership capacity
- Experience building and scaling technical pre-sales or customer engineering teams across multiple markets
- Cloud architecture, enterprise infrastructure, and API-driven products
- Hands-on technical ability building prototypes
- AI/ML technologies, data platforms, and modern model deployment practices
- Executive presence and credibility with technical and business leaders
- Cross-functional collaboration skills
Preferred
- Background in AI infrastructure, ML operations, or applied data science
- Experience working across enterprise, government, and startup ecosystems
- Strong understanding of regional AI, data, and privacy regulations
- Prior experience launching new markets or scaling teams during rapid growth
- Track record of developing enablement content, demos, and GTM playbooks for technical teams
Original job description
Content provided by the employer
Original job description
Content provided by the employer
We are seeking a Head of Solutions Engineering to lead and grow our technical pre-sales function across the EMEA region. You’ll define how we bring our AI services to customers - from the first discovery conversation to pilot, deployment, and production success.
As the regional leader, you’ll hire, mentor, and scale a team of world-class Solutions Engineers & Solution Architects who partner closely with Sales, Product, and Engineering. You’ll set the standard for how we demonstrate technical value, architect customer solutions, and operationalize go-to-market excellence across diverse markets in EMEA.
This is a strategic, hands-on leadership role - part player-coach, part builder, and part visionary. You’ll balance tactical deal support with the long-term mission of building a scalable, high-impact GTM organization.
What You’ll Do
- Partner with Sales and regional leadership to drive technical strategy, qualification, and execution for complex deals.
- Define and operationalize repeatable pre-sales processes, tools, and playbooks to accelerate customer success.
- Build and lead a world-class Solutions Engineering organization across EMEA — recruiting, mentoring, and enabling a distributed team.
- Lead the technical discovery, demo, and proof-of-concept lifecycle, ensuring pilots translate into production wins.
- Represent Scale’s platform and technology capabilities to executives, technical stakeholders, and partners.
- Collaborate with Product and Engineering teams to bring customer insights back into roadmap discussions and feature design.
- Develop regional enablement programs to ensure consistent technical excellence across the team.
- Drive key metrics: pilot-to-production conversion, team utilization, revenue influence, and customer adoption.
- Champion a culture of curiosity, innovation, and accountability, fostering deep AI understanding and go-to-market discipline.
- Act as a thought leader in the region — representing Scale at industry events, executive briefings, and ecosystem forums.
What We’re Looking For
- 10+ years of experience in Solutions Engineering, Sales Engineering, or Technical Consulting, with 4+ years in a leadership capacity.
- Proven experience building and scaling technical pre-sales or customer engineering teams across multiple markets.
- Strong foundation in cloud architecture, enterprise infrastructure, and API-driven products
- Hands-on technical ability — comfortable both building prototypes and guiding your team
- Familiarity with AI/ML technologies, data platforms, and modern model deployment practices
- Demonstrated executive presence and credibility with both technical and business leaders.
- Excellent cross-functional collaboration skills, aligning Sales, Product, and Services toward shared outcomes.
- Commercial and strategic mindset — able to connect technical work to business value and regional go-to-market goals.
- Experience navigating diverse, fast-evolving markets and driving impact in ambiguous, high-growth environments.
- Willingness to travel frequently across EMEA to support customers and team members.
Nice to Have
- Background in AI infrastructure, ML operations, or applied data science.
- Experience working across enterprise, government, and startup ecosystems.
- Strong understanding of regional AI, data, and privacy regulations.
- Prior experience launching new markets or scaling teams during rapid growth.
- Track record of developing enablement content, demos, and GTM playbooks for technical teams.
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, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. 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 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.
About the company
Scale AI
Large Enterprise
Scale AI is a leading provider of data-centric AI solutions that empower businesses to accelerate their artificial intelligence initiatives. Founded in 2016, the company specializes in offering high-quality training data for machine learning models, helping organizations effectively harness the power of AI across various industries. Scale AI leverages innovative technology and a skilled workforce to deliver precise data labeling services and streamline data workflows, ensuring clients can achieve greater efficiencies and improved outcomes in their AI projects. With a commitment to innovation and quality, Scale AI is positioned as a key partner for companies looking to integrate AI into their operations.
Scale AI is a leading provider of data-centric AI solutions that empower businesses to accelerate their artificial intelligence initiatives. Founded in 2016, the company specializes in offering high-quality training data for machine learning models, helping organizations effectively harness the power of AI across various industries. Scale AI leverages innovative technology and a skilled workforce to deliver precise data labeling services and streamline data workflows, ensuring clients can achieve greater efficiencies and improved outcomes in their AI projects. With a commitment to innovation and quality, Scale AI is positioned as a key partner for companies looking to integrate AI into their operations.