
AI/ML Engineering Manager
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Salla is the leading commerce platform in the GCC, built in Saudi Arabia to support businesses and entrepreneurs across every stage of growth. We provide the tools, services, and ecosystem merchants need to build stores, run operations, and reach customers with confidence. Our AI department is building the intelligence layer that transforms how merchants create, manage, and grow their online businesses — with AI products designed from the ground up.
We’re looking for a founding Engineering Manager to build and lead a new team focused on AI-powered product innovation. This team exists to answer one question: what AI-powered products should Salla build to maximize values for our merchants?
Responsibilities
• Product Discovery & Strategy
• Identify, scope, and prioritize AI product opportunities that directly impact merchant
revenue, retention, or operational efficiency
• Develop a rolling roadmap of AI-powered experiences validated against merchant
needs, market dynamics, and business impact
• Define success metrics for each initiative and kill or scale projects based on data, not
momentum
• Execution & Shipping
• Ship your first product within the first quarter — we value velocity and learning over
perfection
• Build on top of existing AI infrastructure across the department — your job is to create
products, not rebuild engines
• Establish a rapid prototyping and validation cadence: concept → prototype → merchant
pilot → scale or kill
• Team Building & Leadership
• Build and develop a versatile team that blends data science, engineering, and product
thinking
• Operate as a peer to other technical leads across the AI department while maintaining a
collaborative, non-competitive dynamic
• Create a team culture of experimentation, merchant obsession, and fast iteration
• Cross-Functional Collaboration
• Partner across the AI department to leverage generative AI capabilities,
recommendation signals, and platform infrastructure for new product surfaces
• Work closely with product, design, and business stakeholders to ensure AI experiences
translate into merchant outcomes
• Coordinate with ML platform and operations teams for infrastructure needs without
building parallel systemsRequirements
Must Haves:
• 5+ years in engineering or ML roles, with at least 2 years managing a team that shipped
• AI/ML-powered products (not just models or infrastructure — products used by real customers)
• Track record of 0-to-1 product development: you’ve taken something from concept to production and measured its impact
• Strong product instinct — you can identify what to build, not just how to build it. You think in terms of merchant outcomes, not technical capabilities
• Hands-on technical depth in at least one of: LLM applications, recommendation systems, or ML-powered product features. You don’t need to write every line of code, but you need to make sound architectural calls and earn your team’s technical respect
• Comfort with ambiguity — you’ll define the roadmap, not inherit one
• Experience working in or building for e-commerce, marketplace, or merchant-facingStrong Preference:
• Experience with MENA markets, Arabic-language AI products, or regional commerce patterns (seasonal dynamics, WhatsApp commerce, social selling)
• Background at a high-growth technology company where you operated with startup speed and increasing scale
• Familiarity with multi-agent architectures or AI agent platforms
• Arabic language proficiency (business-level or native)
Requirements
- •5+ years in engineering or ML roles
- •At least 2 years managing a team that shipped AI/ML-powered products
- •Track record of 0-to-1 product development
- •Strong product instinct
- •Hands-on technical depth in LLM applications, recommendation systems, or ML-powered product features
- •Comfort with ambiguity
Nice to Have
- •Operate as a peer to other technical leads.
- •Create a team culture of experimentation, merchant obsession, and fast iteration.
- •Work closely with product, design, and business stakeholders.
- •Coordinate with ML platform and operations teams.
Responsibilities
- •Identify, scope, and prioritize AI product opportunities.
- •Develop a rolling roadmap of AI-powered experiences.
- •Define success metrics and scale or kill projects based on data.
- •Ship first product within the first quarter.
- •Build on top of existing AI infrastructure.
- •Establish a rapid prototyping and validation cadence.
- •Build and develop a versatile team.
- •Partner across the AI department to leverage generative AI capabilities.
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