As Channel Manager, you will own and grow Scale AI's 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 Scale's 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 Scale's 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 Qatar's institutions and organisations adopt and benefit from AI.

What you'll do

• Build and manage Scale AI's channel partner ecosystem in Qatar - identifying, recruiting, and onboarding Global & Local system integrators, technology partners, and value-added resellers aligned with Scale's 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 AI's portfolio designing and delivering training, certification, and enablement programmes that build genuine product and solution fluency.
• Serve as the primary relationship owner for Scale's 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 Scale's 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 we're 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 AI's 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.

Scale’s rapidly growing Global Public Sector team is focused on using AI to address critical challenges facing the public sector around the world. Our core work consists of:

• Creating custom AI applications that will impact millions of citizens
• Generating high-quality training data for custom LLMs
• Upskilling and advisory services to spread the impact of AI

As a Full Stack Software Engineer (Forward Deployed), you’ll collaborate directly with public sector counterparts to quickly build full-stack, AI applications, to solve their most pressing challenges and achieve meaningful impact for citizens.

At Scale, we’re not just building AI solutions—we’re enabling the public sector to transform their operations and better serve citizens through cutting-edge technology. If you’re ready to shape the future of AI in the public sector and be a founding member of our team, we’d love to hear from you.

You will:

• Partner with public sector clients to scope, collect feedback and implement solutions for complex problems, including spending up to two weeks per month in client offices for feedback and delivery.
• Architect production-grade applications that integrate AI models with full-stack frameworks, managing everything from interactive UIs to backend APIs and systems. 
• Deploy and manage infrastructure within cloud environments, ensuring the highest levels of system integrity, security, scalability, and long-term reliability.
• Contribute to core platform features designed to be reused across diverse international client use cases.
• Partner with design, product, and data teams to build robust applications aligned with the broader technical architecture.

Ideally you’d have:

• Bachelor’s degree in Computer Science or a related quantitative field 
• 5+ years of post-graduation, full-stack engineering experience with demonstrated proficiency in React (required), TypeScript, Next.js, Python,  Node.js, PostgreSQL or MongoDB plus hands-on experience with Docker, Kubernetes, and Azure/AWS/GCP.
• Proven ability to architect scalable, production-grade applications with a strong handle on cloud environments and infrastructure health.
• Experience working directly within customer infrastructure to deploy, maintain, and troubleshoot complex, end-to-end solutions.
• A self-starting approach with the technical maturity to navigate ambiguous requirements and deliver reliable software.
• Driven async communication methodologies to reduce communication frictions

Nice to haves:

• Proficient in Arabic 
• Past experience working in a forward deployed engineer / dedicated customer engineer role
• Experience working cross functionally with operations
• Experience building solutions with LLMs and a deep understanding of the overall Gen AI landscape

Scale’s rapidly growing Global Public Sector team is focused on using AI to address critical challenges facing the public sector around the world. Our core work consists of:

• Creating custom AI applications that will impact millions of citizens
• Generating high-quality training data for custom LLMs
• Upskilling and advisory services to spread the impact of AI

As a Full Stack Software Engineer (Forward Deployed), you’ll collaborate directly with public sector counterparts to quickly build full-stack, AI applications, to solve their most pressing challenges and achieve meaningful impact for citizens.

At Scale, we’re not just building AI solutions—we’re enabling the public sector to transform their operations and better serve citizens through cutting-edge technology. If you’re ready to shape the future of AI in the public sector and be a founding member of our team, we’d love to hear from you.

You will:

• Collaborate with senior engineers to implement features for public sector clients, including spending time with the client  to understand user feedback and assist with delivery.
• Develop and maintain full-stack components that integrate with AI models, focusing on building responsive UIs and reliable backend APIs.
• Assist in deploying and monitoring applications within cloud environments, ensuring basic system stability and security.
• Help build and refine reusable features that support diverse international client use cases.
• Work within a multi-disciplinary team of design, product, and data specialists to build robust features that follow established technical architectures.

Ideally you’d have:

• Bachelor’s degree in Computer Science or a related quantitative field 
• Professional full-stack experience with a focus on React, TypeScript, and Python/Node.js. Familiarity with Next.js and NoSQL/Relational databases, along with exposure to containerization (Docker) and cloud deployments.
• Experience building and deploying web applications with a good understanding of cloud fundamentals and scalable coding practices.
• A self-starting approach to navigate ambiguous requirements and deliver reliable software.

Nice to haves:

• Proficient in Arabic 
• Experience working cross functionally with operations
• Experience building solutions with LLMs

Scale’s rapidly growing International Public Sector team is focused on using AI to address critical challenges facing the public sector around the world. Our core work consists of:

• Creating custom AI applications that will impact millions of citizens
• Generating high-quality training data for custom LLMs
• Upskilling and advisory services to spread the impact of AI

As a Full Stack Software Engineer (Forward Deployed), you’ll collaborate directly with public sector counterparts to quickly build full-stack, AI applications, to solve their most pressing challenges and achieve meaningful impact for citizens.

At Scale, we’re not just building AI solutions—we’re enabling the public sector to transform their operations and better serve citizens through cutting-edge technology. If you’re ready to shape the future of AI in the public sector and be a founding member of our team, we’d love to hear from you.

You will:

• Serve as the lead technical strategist for public sector engagements, converting ambiguous mission requirements into robust architectural roadmaps and guiding onsite implementation
• Architect the fundamental frameworks for production-grade AI applications, setting the gold standard for how interactive UIs, backend systems, and AI models are integrated at scale to deliver reliable outcomes.
• Guide the evolution of cloud infrastructure, ensuring security, global scalability, and long-term system integrity across all environments.
• Direct the development of core platforms and shared services, ensuring they solve cross-cutting needs for diverse global client use cases.
• Partner with cross-functional leadership to steer the technical roadmap, mentoring senior and junior staff and ensuring all products align with a cohesive, future-proof technical architecture.
• Bridge the gap between the field and the core platform by turning real-world client lessons into the reusable patterns that power the entire engineering team.

Ideally you’d have:

• Masters or Phd in Computer Science or equivalent deep industry experience in architecting complex, distributed systems.
• 10+ years of full-stack expertise across Python, Node.js, and React, with a proven track record of designing high-scale architectures on Kubernetes and global cloud infrastructures (AWS/Azure/GCP).
• Expert ability to design and oversee production-grade ecosystems, ensuring world-class standards for system integrity, security, and long-term scalability.
• Extensive experience deploying and troubleshooting sophisticated end-to-end solutions directly within complex, high-security client environments.
• A self-driven leader capable of resolving extreme ambiguity, mentoring senior staff, and setting the technical vision for the organization.
• A driver of asynchronous workflows and documentation-first cultures to streamline global engineering velocity and reduce friction.
• Proficient in Arabic

Nice to haves:

• Past experience working at a startup as a CTO or founding engineer or in a forward deployed engineer / dedicated customer engineer role
• Experience working cross functionally with operations
• Proven track record of building LLM-driven solutions with the strategic foresight to anticipate landscape shifts and architect future-proof systems.

Scale is growing rapidly, and joining the Global Public Sector team is an opportunity to work on one of the most exciting and quickly expanding teams at Scale. This team is responsible for generating, executing, and fostering Scale’s work with governments and government-backed entities outside of the United States. 

We develop bespoke solutions that leverage our customers’ proprietary data and expertise to transform their organizations with AI. We work with them to understand their pain points and workflows and then forward deploy our team to build cutting-edge solutions. The applications we build are powered by the Scale GenAI Platform, a full stack product to build, test and deploy frontier AI agents.

• Developing custom AI applications
• Building custom LLMs
• Providing high-quality training data for research and government institutions building LLMs
• Developing partnerships to foster regional talent growth and AI adoption

We are looking for an entrepreneurial and experienced product leader to play a pivotal role in the ideation and development of transformative AI solutions. The ideal candidate has deep experience with AI/ML application development, can think strategically about how to solve a problem, is an excellent listener, is comfortable getting into the weeds operationally, and has a strong understanding of software engineering principles and practices. You will be responsible for owning large AI projects for one or many customers.

You will lead a cross-functional team of engineers, MLEs, and operators to build a highly impactful solution for our customers that will drive millions in revenue for our business as well. 

Responsibilities: 

• Lead design workshops with the client to define custom AI solutions 
• Scope out new AI application use cases across various government entities
• Lead cross-functional development of AI applications and custom LLMs with diverse stakeholders (Engineering + Ops + Go-to-Market)
• Consistently engage with future end-users to solicit feedback and ensure we are prioritizing effectively
• Stay up to date with latest research in applied AI and training custom LLMs
• Scope out model evaluation sets and performance requirements, consistently review results, and iterate on the solution
• Give regular progress updates to the client and Global Public Sector leadership

Minimum Qualifications: 

• 4+ years of experience building products with specific experience within the last 1-2 years building AI-powered products
• Strong technical background (STEM degree) and/or experience building technical software products 
• Strong understanding of generative AI technologies and their applications in both enterprise and consumer settings
• Experience with vibe coding tools (i.e., Replit, Lovable, Bolt, etc.) and design tools (i.e., Figma/Canva/Miro)
• Exceptional leadership, presentation and communication skills with the ability to influence cross-functional teams

Nice to haves:

• Coding experience (Python)
• Proficiency in Arabic, both written and spoken

Scale’s rapidly growing Global Public Sector team is focused on using AI to address critical challenges facing the public sector around the world. Our core work consists of:

• Creating custom AI applications that will impact millions of citizens
• Generating high-quality training data for national LLMs
• Upskilling and advisory services to spread the impact of AI

As a DevOps Engineer, you will design and develop core platforms and software systems, while supporting orchestration, data abstraction, data pipelines, identity & access management, security tools, and underlying cloud infrastructure.

At Scale, we’re not just building AI solutions—we’re enabling the public sector to transform their operations and better serve citizens through cutting-edge technology. If you’re ready to shape the future of AI in the public sector and be a founding member of our team, we’d love to hear from you.

You will:

• Backend Development and System Ownership: Design and implement secure, scalable backend systems for customers using modern, cloud-native AI infrastructure. Own services or systems, define long-term health goals, and improve the health of surrounding components.
• Collaboration and Standards: Collaborate with cross-functional teams to define and execute backend and infrastructure solutions tailored for secure environments. Enhance engineering standards, tooling, and processes to maintain high-quality outputs.
• Infrastructure Automation and Management: Write, maintain, and enhance Infrastructure as Code templates (e.g., Terraform, CloudFormation) for automated provisioning and management. Manage networking architecture, including secure VPCs, VPNs, load balancers, and firewalls, in cloud environments.
• Deployment and Scalability: Design and optimize CI/CD pipelines for efficient testing, building, and deployment processes. Scale and optimize containerized applications using orchestration platforms like Kubernetes to ensure high availability and reliability.
• Disaster Recovery and Hybrid Strategies: Develop and test disaster recovery plans with robust backups and failover mechanisms. Design and implement hybrid and multi-cloud strategies to support workloads across on-premises and multiple cloud providers.

Ideally you’d have:

• A strong engineering background, with a Bachelor’s degree in Computer Science, Mathematics, or a related quantitative field (or equivalent practical experience)
• 5+ years of post-graduation engineering experience, with a focus on back-end systems and proficiency in at least one of Python, Typescript, Javascript, or C++
• Extensive experience in software development and a deep understanding of distributed systems and public cloud platforms (AWS and Azure preferred)
• Track record of independent ownership of successful engineering projects
• Experience working fluently with standard containerization & deployment technologies like Kubernetes, Terraform, Docker, etc.
• Strong knowledge of software engineering best practices and CI/CD tooling (CircleCI, Github Actions)
• Solid foundation and real-world experience in network engineering

Nice to haves:

• Experience working cross functionally with operations
• Experience building solutions with LLMs and a deep understanding of the overall Gen AI landscape
• Experience with data warehouses (Snowflake, Firebolt) and data pipeline/ETL tools (Dagster, dbt)
• Experience with authentication/authorization systems (Zanzibar, Authz, etc.)
• Experience with NoSQL document databases (MongoDB) and structured databases (Postgres)
• Experience with hybrid or on-prem systems
• Experience with orchestration platforms, such as Temporal and AWS Step Functions