Channel Manager
Job Summary
As Channel Manager you will own and grow Scale AIs partner and channel ecosystem in Qatar - identifying developing and managing relationships with the technology partners system integrators and resellers that extend our reach across the market. You will work closely with the Country Lead and the broader go-to-market team to build a partner network that accelerates Scales mission in Qatar and delivers measurable impact for government and enterprise customers. This is a high-impact high-ownership role at the heart of one of Scales most strategically significant markets. You will be operating at the intersection of national AI ambition and enterprise transformation and the work you do will directly shape how Qatars institutions and organisations adopt and benefit from AI.
What youll do
- Build and manage Scale AIs channel partner ecosystem in Qatar - identifying recruiting and onboarding Global & Local system integrators technology partners and value-added resellers aligned with Scales mission and market priorities.
- Drive partner-sourced pipeline and revenue working with partners to identify opportunities structure joint go-to-market motions and accelerate deals across government and enterprise segments.
- Develop and execute joint business plans with key partners setting clear objectives aligning on priorities and holding partners accountable to agreed outcomes.
- Enable partners to effectively represent Scale AIs portfolio designing and delivering training certification and enablement programmes that build genuine product and solution fluency.
- Serve as the primary relationship owner for Scales channel partners in Qatar building deep trusted relationships at the leadership level that position Scale as a long-term strategic partner.
- Collaborate cross-functionally with sales solutions engineering marketing and the Country Lead to ensure channel activity is aligned with Scales broader go-to-market strategy in Qatar.
- Track report and optimize channel performance maintaining accurate pipeline visibility monitoring partner KPIs and continuously improving the channel programme based on data and market feedback.
- Represent Scale AI at industry events forums and partner engagements across Qatar building the brand and expanding the network in a market where relationships and presence matter.
What were looking for
- 7 years of experience in channel management partner development or enterprise go-to-market roles within the technology sector.
- Proven track record of building and scaling channel ecosystems in the Gulf region with deep knowledge of the Qatar market its institutions and its partner landscape.
- Strong understanding of AI data and enterprise software able to articulate Scale AIs value proposition fluently to technical and non-technical audiences alike.
- Exceptional relationship management skills able to build trust and operate with credibility at the C-suite and ministry level.
- Highly organised and data-driven comfortable managing complex partner portfolios pipeline reporting and performance metrics with rigour and precision.
- Fluency in Arabic and English - both written and spoken with the cultural intelligence to operate effectively across diverse stakeholder environments.
- Based in Doha Qatar or willing to relocate. This is an on-site role requiring active presence in the market.
Nice to haves
- Prior experience at a leading technology company operating in Qatar or the broader GCC particularly in a channel partnerships or public sector go-to-market capacity.
- Existing relationships with key system integrators technology partners or government entities in Qatar.
- Familiarity with AI platforms data infrastructure or enterprise software ecosystems.
- Experience contributing to or operating within a national AI or digital transformation agenda.
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 worlds most important decisions. Our products provide the high-quality data and full-stack technologies that power the worlds 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 Cisco DLA Piper 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 Please see the United States Department of Labors Know Your Rights poster for additional information.
We comply with the United States Department of Labors 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 for additional information.
Required Experience:
Manager
About Company
Trusted by world class companies, Scale delivers high quality training data for AI applications such as self-driving cars, mapping, AR/VR, robotics, and more.