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business development executive Jobs in Riyadh

business development executive

ai business development officer

Empowering Energy

About the RoleWe are a fast-moving AI startup at the center of Saudi Arabia&rsquo;s digital transformation, and we are hiring our first Business Development Officer.This is not a traditional sales role. You will not be selling generic products or services. You will be selling intelligence AI systems that replace manual workflows, reduce operational costs, and transform how businesses operate. This is frontier work in one of the most exciting industries in the world, and we will train you to master it from day one.The AI industry in Saudi Arabia is being built right now. Companies, government programs, and large-scale transformation initiatives are all happening at this very moment. We are positioned at the center of that wave, and we need individuals who will help drive it forward.What You Will Do<ul><li>Identify businesses ready for AI transformation and generate qualified opportunities</li><li>Present cutting-edge AI solutions to decision-makers, operations leaders, and C-level executives</li><li>Build strong, long-term client relationships rather than one-time transactions</li><li>Work directly with founders and core team members to negotiate and close high-value deals</li><li>Manage your own pipeline, track leads, and take full ownership of your results</li><li>Prepare regular updates on client progress, deal stages, and pipeline activity</li></ul>Who We Are Looking ForFresh graduate? That&rsquo;s exactly who we want. We don&rsquo;t need someone who knows everything we need someone who is willing to learn everything.<ul><li>Fresh graduate or early-career candidate in Software Engineering, Computer Science, AI, IT, or a related field</li><li>Strong curiosity and understanding of how AI can transform businesses</li><li>Confident communicator who can simplify complex ideas and engage decision-makers</li><li>Results-driven mindset with a strong desire to achieve targets and close deals</li><li>Resilient and persistent able to handle rejection and keep improving</li><li>Strong Arabic and English communication skills (written and spoken)</li><li>Saudi national (male or female)</li></ul>Compensation &amp; Growth<ul><li>Base salary: 6,000 &ndash; 7,000 SAR/month</li><li>Salary increase upon closing your first client (clearly defined in contract)</li><li>Competitive commission structure based on project profitability (agreed individually)</li><li>No earning cap your income grows with your performance</li></ul>What Makes This Role Unique<ul><li>Full training in AI sales and business development a rare and high-value skill set in Saudi Arabia</li><li>Direct access to founders and leadership from day one, with no layers of management</li><li>Fast career growth &mdash; high performers can move into leadership roles within two years</li><li>Opportunity to contribute to Saudi Arabia&rsquo;s AI ecosystem aligned with Vision 2030</li><li>Clear impact, visibility, and performance-based recognition</li></ul>Required Background &amp; Skills<ul><li>Degree in Software Engineering, Computer Science, Artificial Intelligence, IT, or related field</li><li>Strong verbal and written communication skills in Arabic and English</li><li>Confident presentation and interpersonal abilities</li><li>Self-motivated, ambitious, and proactive mindset</li><li>Ability to quickly learn technical concepts and explain them in simple terms</li></ul>To ApplySend your CV at (Info@esap.ai) along with a short note explaining why this role is the right fit for you.Job Type: Full-timeWork Location: In person

AI Business Development Officer

brilliant mind events

Job Title: Business Development OfficerLocation: Riyadh, Kingdom of Saudi Arabia (KSA) Company: BM EventsJob OverviewWe are seeking a dynamic and results-driven Business Development Officer to join our growing team in Riyadh. The ideal candidate will be responsible for identifying new business opportunities, building strong client relationships, and driving revenue growth in the events, hospitality, and staffing sectors.Key Responsibilities<ul><li>Identify and develop new business opportunities in Riyadh and across KSA</li><li>Build and maintain strong relationships with clients (hotels, event organizers, corporate clients)</li><li>Generate leads through market research, networking, and cold outreach</li><li>Prepare and present proposals, quotations, and service presentations</li><li>Negotiate contracts and close deals to meet revenue targets</li><li>Coordinate with internal teams (operations, HR, accounts) for smooth service delivery</li><li>Attend industry events, exhibitions, and meetings to expand business network</li><li>Maintain CRM records and track sales performance</li></ul>Requirements<ul><li>Bachelor&rsquo;s degree in Business Administration, Marketing, or related field</li><li>2&ndash;4 years of experience in business development, preferably in events, hospitality, or staffing industry</li><li>Strong communication and negotiation skills</li><li>Proven ability to meet and exceed sales targets</li><li>Knowledge of the Saudi market is highly preferred</li><li>Valid driving license (preferred)</li><li>Fluent in English (Arabic is a plus)</li></ul>Skills &amp; Competencies<ul><li>Sales &amp; negotiation expertise</li><li>Client relationship management</li><li>Market research &amp; strategic thinking</li><li>Strong presentation skills</li><li>Self-motivated and target-driven</li></ul>What We Offer<ul><li>Competitive salary + commission structure</li><li>Career growth opportunities in a fast-growing company</li><li>Exposure to high-profile events and clients in KSA</li><li>Professional and supportive work environment</li></ul>How to ApplyInterested candidates can apply via Indeed or send their CVJob Types: Full-time, Contract, Permanent, TemporaryWork Location: In person

Business Development Officer

Elm Company

<div>
 
 ROLE PURPOSE
 
 
 
 
 The aim is to state the overall significance of the job from the organization&rsquo;s perspective.
 
 
 
 To support the development of AI-enabled services and platforms by translating business needs into functional solutions, driving end-to-end product and service development, and enabling AI adoption within government platforms. The role bridges business, data, and technology to deliver scalable, impactful AI solutions aligned with digital transformation objectives.
 
 
 
 Key Accountabilities &amp; Activities
 
 
 
 
 This section describes the principal outputs required from the job.
 
 
 
 
 Key Accountabilities
 
 
 
 
 Key Activities
 
 
 
 <ul>
 <li>
 Business Analysis &amp; Requirements Management
 </li>
 <li>
 Gather, analyze, and document business and functional requirements for AI-enabled services and platforms.
 </li>
 <li>
 Translate business needs into clear user stories, specifications, and solution requirements.
 </li>
 <li>
 Collaborate with stakeholders to validate requirements and ensure alignment with objectives.
 </li>
 <li>
 Product &amp; Service Development
 </li>
 <li>
 Support the end-to-end development of AI-enabled products and services from concept to deployment.
 </li>
 <li>
 Define product features, scope, and priorities based on business value and user needs.
 </li>
 <li>
 Contribute to product roadmaps and continuous improvement initiatives.
 </li>
 <li>
 AI Enablement &amp; Use Case Development
 </li>
 <li>
 Identify and support AI use cases within government platforms and digital initiatives.
 </li>
 <li>
 Work closely with data scientists and engineers to integrate AI capabilities into products.
 </li>
 <li>
 Ensure solutions are practical, scalable, and aligned with business outcomes.
 </li>
 <li>
 Data Analysis &amp; Insights
 </li>
 <li>
 Analyze data to generate insights that support product decisions and service optimization.
 </li>
 <li>
 Support performance monitoring and evaluation of AI-enabled services.
 </li>
 <li>
 Identify trends, opportunities, and improvement areas.
 </li>
 <li>
 Stakeholder Management &amp; Collaboration
 </li>
 <li>
 Collaborate with business units, technical teams, and external stakeholders to ensure successful delivery.
 </li>
 <li>
 Facilitate communication between business and technical teams.
 </li>
 <li>
 Support alignment across cross-functional teams.
 </li>
 <li>
 Digital Transformation Support
 </li>
 <li>
 Contribute to digital transformation initiatives by enabling AI adoption within platforms and services.
 </li>
 <li>
 Support the development of government digital solutions aligned with strategic priorities.
 </li>
 <li>
 Assist in driving innovation through AI capabilities.
 </li>
 <li>
 Policies, Processes &amp; Procedures
 </li>
 <li>
 Follow all relevant departmental policies, processes, standard operating procedures and instructions so that work is carried out in a controlled and consistent manner
 </li>
 <li>
 Comply with all relevant safety, quality and environmental management policies, procedures and controls to ensure a healthy and safe work environment
 </li>
 <li>
 Information Security
 </li>
 <li>
 Comply with all relevant information Security practices and standards to ensure data integrity and confidentiality
 </li>
 </ul>
</div>

Consultant Job

Talent 360

<div>We are looking for Saudi graduates to join our team as an AI &amp; Automation Intern (Tamheer Program) in Riyadh. This role focuses on artificial intelligence, workflow automation, and digital transformation, supporting the development of smart systems that improve business operations across departments such as operations, sales, marketing, and administration.
The intern will gain hands-on experience in AI-driven workflows, computer vision, and data-driven automation. This is a great opportunity to work on practical AI projects, explore model development, and contribute to business process improvement.
Key Responsibilities:<ul><li>
Assist in building AI models and workflows for business use cases
</li><li>Support tasks in computer vision such as image analysis, preprocessing, and basic object detection using OpenCV
</li><li>Help prepare and validate datasets for AI model training
</li><li>Support fine-tuning of pre-trained AI models (CNNs, RNNs) under guidance
</li><li>Assist in data extraction and cleaning for AI workflows
</li><li>Contribute to reusable AI and automation solutions
</li>Collaborate with teams to integrate AI tools into business processes and improve workflows 
<li>
</li></ul> 
 
Requirements 
Eligibility Requirements (Tamheer Program)<ul><li>
Saudi national
</li><li>Diploma (minimum one academic year) or Bachelor&rsquo;s degree or higher
</li><li>Unemployed for at least 6 months
</li><li>Not currently registered with GOSI (General Organization for Social Insurance)
</li><li>Not previously enrolled in the Tamheer program
</li><li>Age not exceeding 30 years
</li></ul>Preferred Qualifications<ul><li>
Strong interest in AI, computer vision, and automation
</li><li>Basic familiarity with OpenCV, CNNs, or RNNs is a plus
</li><li>0&ndash;1 year of experience (fresh graduates encouraged)
</li><li>Strong communication, analytical, and problem-solving skills
</li><li>Eagerness to learn AI systems, model fine-tuning, and workflow automation concepts
</li><li>Preferably based in Riyadh</li></ul> 

Benefits 
<ul><li>
Tamheer Internship Program (structured training opportunity)
</li></ul><ul><li>Hands-on experience in AI, computer vision, and automation
</li><li>Exposure to real business use cases across multiple departments
</li><li>Opportunity to work with modern AI tools and automation concepts
</li><li>Full-time training experience in Riyadh
</li><li>Professional development in a fast-growing technology domain</li></ul></div>

AI & Automation Intern - Tamheer Program | Riyadh, KSA

MA'ADEN

<div>Job Purpose
<ul><li><div>The Lead Specialist, Data Science &amp; Analytics, acts as a technical leader and senior practitioner, driving development, deployment, and scaling of Machine Learning, AI, and advanced analytics solutions across Maaden.
</div></li><li><div>The role ensures analytics products are designed, validated, industrialized, governed, and adopted at scale, providing measurable value across mining, processing, operations, and enterprise functions.
</div></li><li><div>Lead Specialist, Data Science &amp; Analytics is to analyze data, extract insights, and build predictive models that help organizations make smarter decisions and solve difficult problems. By blending expertise in statistics, computer science, and business strategy, they not only analyze complex datasets but also build predictive models that improve operations and shape long-term decisions. With nearly every industry leaning on data today, the demand for skilled professionals continues to grow 
</div></li></ul>Key Accountabilities:
1. Lead End-to-End Data Science Delivery
<ul><li>Developing, implementing and maintaining databases and data collection systems
</li><li>Own the full lifecycle of ML/AI initiatives - from problem framing, data exploration, feature engineering, model development, validation, and MLOps handover.
</li><li>Deliver scalable and production-grade models, ensuring alignment with enterprise data governance and AI standards.
</li><li>Performing statistical analysis to understand and interpret data insights
</li><li>Applying data mining techniques to identify patterns, trends, and relationships in large datasets
</li><li>Building predictive models and machine learning algorithms to forecast future outcomes
</li><li>Creating clear data visualizations and reports to communicate findings to stakeholders
</li><li>Working with cross-functional teams to understand business needs and provide data-driven solutions
</li><li>Design and maintain reliable data pipelines and models in partnership with data engineering to ensure data is accurate, timely, and trustworthy for downstream use
</li><li><div>Ensuring data security and compliance with relevant regulations
</div></li><li><div>Drive experimentation, model versioning, automated retraining, and continuous improvement. 
</div></li></ul><div></div>2. Translate Business Needs into AI/Analytics Solutions
<ul><li><div>Establish frameworks and operating models that make data science accessible, scalable, and embedded within business and technical functions
</div></li><li><div>Engage BU/domain stakeholders to identify value creation opportunities and convert them into actionable analytics use cases.
</div></li><li><div>Build value hypotheses, KPIs, success criteria, and solution roadmaps in collaboration with Data &amp; AI leadership and business teams. 
</div></li></ul>3. Industrialize AI/ML Models (ML Ops &amp; Architecture)
<ul><li>Partner with data engineering, data platforms, and cloud/OT architecture teams to embed models into enterprise systems and operational layers.
</li><li>Set standards for production deployment, testing, monitoring, drift handling, and lifecycle governance.
</li><li>Ensure seamless integration of predictive and optimization models into enterprise platforms, control systems, and digital twins
</li>Leverage machine learning, optimization, and computer vision as enabling tools for performance, reliability, and sustainability improvements 
<li>
</li></ul>4. Responsible AI, Quality &amp; Governance
<ul><li>Ensure compliance with Maaden&rsquo;s Responsible AI, data quality, and data governance frameworks.
</li><li>Promote reproducibility, documentation, lineage tracking, and auditability across all data science assets.
</li>Ensure transparency, explainability, and continuous model governance across production and enterprise environments 
<li>
</li></ul>5. Stakeholder Management &amp; Value Realization
<ul><li>Communicate insights, results, risks, and recommendations to decision-makers using compelling narratives and visualization.
</li>Track value realization, adoption metrics, and operational impact to ensure measurable benefit. 
<li>
</li></ul>Minimum Qualification, Experience and Core Competencies:
Minimum Qualifications:
<ul><li>Bachelor&rsquo;s degree in computer science, Data Science, Engineering, Mathematics, Statistics, or related fields. 
</li></ul>Minimum Experience: 
 
 
<ul><li><div>Minimum Experience:
</div></li><li><div>8 &ndash; 10 years&rsquo; experience in Data Science / Advanced Analytics with industrial, mining, or heavy-asset environments preferred. Including at least 2 years leading or mentoring analytics professionals
</div></li><li><div>Proven ability to translate business problems into analytic approaches: define hypotheses, design analyses, and synthesize results into clear recommendations.
</div></li><li><div>Strong proficiency with modern ML frameworks and cloud platforms (TensorFlow, PyTorch , Azure, AWS) &ndash; Microsoft AI Factory
</div></li><li><div>Strong technical fluency with modern analytics stacks, data modeling, SQL, and experience partnering effectively with engineering teams. 
</div></li><li> 
Machine Learning &amp; Advanced Analytics
<ul><li>Hands-on experience developing and deploying machine learning models , including time-series forecasting, predictive modeling, and optimization use cases
</li><li>Strong understanding of model performance, validation, stability, and business impact
</li></ul></li><li>Generative AI &amp; AI Agents
<ul><li>Practical experience with Generative AI solutions , including copilots, intelligent automation, and agent-based workflows
</li><li>Ability to embed GenAI capabilities into enterprise processes to improve decision-making and operational efficiency
 
 
Good to Have Capabilities
</li></ul></li><li>Data Engineering (IT + OT)
<ul><li>Experience designing and maintaining data pipelines across IT and OT environments
</li><li>Exposure to sensor data, streaming / real-time data processing , and industrial data sources
</li><li>Ability to collaborate with data engineering teams to ensure reliable, timely, and trusted data flows
</li></ul></li><li>MLOps / AgentOps
<ul><li>Experience in model deployment and lifecycle management , including:
<ul><li>Transition from model development to production and scale
</li><li>Monitoring, retraining, versioning, and drift management
</li></ul></li><li>Familiarity with automation and operationalization of ML/AI workloads
 
 
Preferred Experience &amp; Platforms
</li></ul></li><li>Cloud &amp; Analytics Platforms
<ul><li>Experience working with enterprise cloud platforms, preferably:
<ul><li>Microsoft Azure Data Platform
</li><li>Databricks AI Platform
</li><li>Microsoft AI Foundry / Microsoft AI Factory
</li></ul></li>Understanding of cloud-native architectures for scalable analytics and AI solutions 
<li>
</li></ul></li></ul><div></div>Core Competencies:
<ul><li>Model Accuracy &amp; Reliability: Performance, drift stability, and operational uptime.
</li><li>Adoption &amp; Business Impact: Value realized, user adoption, integration success.
</li><li>Delivery Velocity: Timeliness of development cycles and deployment readiness.
</li><li>Compliance &amp; Quality: Alignment with Responsible AI, governance, and documentation standards.</li></ul></div>

Principal Specialist, Data Science & Analytics

<div><div><div><div><div>Role Purpose:
The Data Science &amp; Analytics Manager is responsible for overseeing the end-to-end execution of data science and advanced analytics initiatives that support Maaden&rsquo;s operational and business objectives. The role ensures that data science projects are delivered with high quality, reliability, and measurable impact by managing workflows, coordinating cross-functional stakeholders, and maintaining strong alignment with enterprise data, AI, and governance standards.
As an operational leader, the Manager translates business needs into actionable analytical work, supervises the development of models, analytical products, and data pipelines, and ensures their successful deployment and adoption across functions. This role plays a critical part in embedding data-driven decision-making within production, maintenance, supply chain, engineering, and other business units by enabling teams to access trusted insights, robust analytical tools, and fit-for-purpose ML/AI solutions.
Through effective project management, quality oversight, and close collaboration with technical experts and business partners, the Data Science &amp; Analytics Manager helps accelerate Maaden&rsquo;s transition to a technology-enabled, AI-informed mining enterprise. 
1. Manage End‑to‑End Data Science Delivery
<ul><li>Oversee the development, implementation, and maintenance of databases and data collection systems.
</li><li>Manage the lifecycle of ML/AI initiatives&mdash;supporting problem framing, data exploration, feature engineering, model development, validation, and preparation for MLOps deployment.
</li><li>Ensure delivery of scalable, production‑ready models in alignment with enterprise data governance and AI standards.
</li><li>Conduct statistical analysis to interpret data insights and support decision‑making.
</li><li>Apply data mining techniques to uncover patterns, trends, and relationships in large datasets.
</li><li>Develop predictive models and machine learning algorithms to forecast future outcomes as required.
</li><li>Create clear data visualizations, dashboards, and reports to effectively communicate findings to business stakeholders.
</li><li>Collaborate with cross‑functional teams to understand business needs and translate them into data‑driven solutions.
</li><li>Ensure seamless integration of predictive and optimization models into enterprise platforms, control systems, and digital twins.
</li><li>Stay updated on emerging techniques, tools, and technologies in data science and analytics.
</li><li>Promote experimentation, model versioning, automated retraining, and continuous improvement processes.
</li><li>Recommend enhancements to existing models and analytics workflows for greater efficiency and impact. 
</li></ul></div></div> 
<div><div>2. Data Operations
<ul><li>Partner with data engineering to design, operate, and maintain reliable data pipelines and analytical models, ensuring data accuracy, timeliness, and trustworthiness.
</li><li>Monitor data quality, resolve data issues, and enforce data best practices across teams.
</li><li>Support compliance with data security standards and relevant regulations
</li><li>Supervise the development and deployment of advanced ML models, predictive analytics, GenAI, and optimization solutions, consistent with responsibilities of analytics leadership roles.
</li><li>Ensure technical rigor across the end‑to‑end ML lifecycle: scoping data engineering modeling validation MLOps monitoring.
</li><li>Oversee production reliability, model drift management, and continuous improvement. 
</li></ul></div></div> 
<div><div>3. Team Leadership &amp; Capability Building
<ul><li>Manage and grow a multi‑disciplinary team (Lead Specialists, Senior Specialists, Data Scientists). Roles under this manager are explicitly listed in the org structure.
</li><li>Build technical excellence through coaching on ML, GenAI, statistics, feature engineering, and experimentation.
</li><li>Foster a culture of innovation, peer review, and reusable modeling frameworks. 
</li></ul></div></div> 
<div><div>4. AI Governance, Quality &amp; Standards
<ul><li>Steward high standards in model explainability, auditability, lineage, and risk management.
</li><li>Drive compliance with enterprise data governance, PDPL, and model‑risk principles referenced in internal DS/AI qualification guidance.
</li><li>Ensure adherence to Responsible AI requirements applicable to DS/AI roles (skills and qualifications guidance).
</li><li>Enforce data quality standards, lineage, and reproducibility across the team&rsquo;s projects.
</li><li>Support alignment with enterprise governance frameworks, including PDPL compliance.
</li></ul></div></div> 
</div></div>Minimum Qualifications, Experience and Competencies
Minimum Qualifications:
Bachelor&rsquo;s degree in computer science, Engineering, Data Science, Mathematics, Applied Mathematics, or Physics.
Minimum Experience:
<ul><li>10 &ndash; 12+ years&rsquo; experience in advanced analytics, ML/AI engineering, and industrial data science.
</li><li>Including at least 4 years leading or mentoring analytics professionals.
</li><li>Proven ability to translate business problems into analytic approaches: define hypotheses, design analyses, and synthesize results into clear recommendations.
</li><li>Strong proficiency with modern ML frameworks and cloud platforms (TensorFlow, PyTorch, Azure, AWS).
</li><li>Strong technical fluency with modern analytics stacks, data modeling, SQL, and experience partnering effectively with engineering teams.
</li><li>Strong proficiency with modern ML frameworks and cloud platforms (TensorFlow, PyTorch, Azure, AWS).
</li><li>Proven record of enabling cross-functional business impact through scalable, production-grade data science solutions.
</li></ul>Maaden High-Performance Competencies:
Core Competencies
<ul><li>Value realization from ML/analytics initiatives (impact delivered vs. target).
</li><li>On‑time delivery of analytics roadmap.
</li><li>Adoption rate and integration of solutions into business workflows.
</li><li>Model performance stability (drift incidents, uptime).
</li><li>Team capability maturity and talent development indicators. 
</li></ul>Skills:
<ul><li>Machine Learning &amp; AI Leadership
</li><li>Programming Expertise
</li><li>Generative AI Proficiency
</li><li>Strong Analytical &amp; Statistical Skills
</li><li>Business Strategy &amp; Product Thinking
</li><li>Ethics, Governance &amp; Responsible AI
</li><li>Leadership &amp; People Management</li></ul></div>

Manager, Data Science & Analytics

MASTER-WORKS

<div>We are seeking a proactive and commercially driven Business Development Manager to lead revenue growth, client acquisition, and strategic partnerships. This role requires a balance of hands-on sales execution and strategic thinking to help position Nabeh AI as a key AI solution provider in the market. 
Key Responsibilities:
Business Development &amp; Sales
Identify, target, and acquire new clients across SMEs, startups, and enterprise segments
Build and manage a strong sales pipeline from lead generation to closing
Conduct product demos and present tailored AI solutions to clients
Meet and exceed monthly and quarterly revenue targets
Strategic Growth
Develop and execute go-to-market strategies
Identify new market opportunities and verticals
Contribute to pricing strategies and product positioning
Client Relationship Management
Build long-term relationships with clients and stakeholders
Understand client needs and align solutions accordingly
Ensure high levels of customer satisfaction and retention
Partnership Development
Establish and manage partnerships with agencies, consultants, and ecosystem players
Explore collaboration opportunities to expand market reach. 
Requirements 
Requirements:
6&ndash;10 years of experience in business development, sales, or partnerships
Experience in SaaS, AI, or technology-driven products is highly preferred
Proven track record of achieving or exceeding sales targets
Strong communication, negotiation, and presentation skills
Ability to work independently in a fast-paced startup environment. 
Core Competencies:
Sales &amp; deal closing
Strategic thinking
Relationship building.
Market analysis.
Communication &amp; presentation.</div>

Business Development Manager

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