The role 

Nebius is hiring for a driven Account Executive - Middle East & Africa MEA marketplace. Targeting AI workloads across a set of industries and AI-native new logos and existing customers. Based in MEA you will manage strategic client relationships, uncover new business opportunities, work with partners and lead the end-to-end sales process—from initial engagement to closing. Your ability to understand complex business needs, craft tailored solutions, and thrive in a fast-moving, innovative environment will be key to your success. This role requires a solid blend of consultative selling, strategic thinking, and execution excellence to help clients unlock the full value of our platform.

Our Sales team offers a fantastic opportunity to join a collaborative and supportive environment, where teamwork is just as valued as individual goals. You’ll have the chance to work with cutting-edge technology, while benefiting from a competitive commission structure. Working side-by-side with seasoned technology sales professionals, you’ll gain valuable experience in a dynamic environment and receive excellent opportunities for career growth and business development.

You are welcome to work remotely from Saudi Arabia, Abu Dhabi or Dubai.

Your responsibilities will include: 

• Demonstrate a deep understanding of Nebius and the value to our customers
• Own and grow your territory: maintain and deliver against a strategic plan for region/territory
• Client Engagement: Development deep relationships with key stakeholder across the enterprise, position our AI and cloud solutions to address client-specific challenges.
• Solution Selling: demonstrate the value of AI and cloud solutions through consultative selling, product demonstrations and presentations.
• Negotiation & Closing: Lead contract negotiations with C-suit executives, securing deals that meet revenue targets and contributing to long-term partnerships.
• Regional Representations: Represent Nebius AI at regional industry events, webinars and customer meetings
• Market Knowledge: Stay updated on industry trends, emerging technologies and competitive landscapes to position our solutions effectively.
• Orchestrate the deal team (SE’s, Industry, Partners, CS) to deliver differentiated value proposals and business cases.
• Forecast with accuracy; progress deals through salesforce sales process and deliver against AC /Activity targets.

We expect you to have: 

• Proven Experience: 8+ years of experience in B2B sales, particularly in AI, cloud, or data infrastructure, with a clear hunter track record.
• Passion and desire to work in a startup culture, directly impacting the growth of the company
• Comfortable selling cloud platforms (AWS, Azure, Google Cloud), AI solutions, and related technologies.
• Strong commercial acumen: value mapping, negotiation, multiyear deals, and execlevel storytelling.
• High energy, enthusiasm, and evidence of consistent growth vs. quota.
• CRM Proficiency: Experience with CRM tools such as Salesforce, HubSpot, or similar.
• Native fluency in local language (Arabic) as well as fluent in English.
• Ability to travel as needed.

It will be an added bonus if you have:   

• Previous experience in a high-growth, start-up environment.
• Exposure to SaaS models or cloud infrastructure sales.
• Experience selling to mid-market or enterprise-level clients.

The role 

We are seeking a Channel Partner Manger to lead engagement and growth with our most strategic partners in the Systems Integrator (SI), Managed Service Provider (MSP) and Value-Added Reseller (VAR) segments. This senior-level role will work hand-in-hand with the Head of Channel and Head of the Region to develop and execute strategies that position Nebius as the partner of choice for these key segments.

The ideal candidate will bring extensive experience managing and scaling relationships with SIs, MSPs, and VARs, a strategic mindset and the ability to drive impactful partner enablement programs. This is a high-impact role, offering the opportunity to shape Nebius’ partner ecosystem and contribute to the company’s long-term growth.

You are welcome to work remotely anywhere in Dubai or Abu Dhabi

Your responsibilities will include: 

• Strategic partner engagement: Build and deepen relationships with top SIs, MSPs and VARs, ensuring alignment with Nebius’ strategic goals and objectives.
• Partner enablement: Design, develop and execute partner enablement programs that equip partners to successfully position and sell Nebius’ GPU IaaS solutions.
• Collaboration with leadership: Work closely with Head of Channel and Head of the Region to align on strategic priorities, partner initiatives and business growth opportunities.
• Contract negotiation and execution: Partner with team members to negotiate agreements, finalize contracts and ensure smooth implementation of sales enablement initiatives.
• Business development: Identify new partnership opportunities within the SI, MSP and VAR segments, driving incremental revenue growth.
• Sales alignment: Collaborate with sales teams to ensure seamless integration of partner activities into the broader sales strategy, tracking progress against key metrics.
• Performance analysis: Monitor and analyze partner performance, providing actionable insights to refine programs and maximize impact.
• Travel: within MEA: up to 25%, outside MEA: 5-10%. Weekly to monthly, with more frequent travel if the role supports a large geographic region or high-touch partners.

We expect you to have: 

• A minimum of 7-10 years of channel management experience, with a proven track record of working with enterprise-level partners in the SI, MSP, and VAR sectors. Experience working with enterprise customers to scale and drive adoption of cloud-based solutions is essential.
• Strong, existing relationships with key SIs, ISVs, and MSPs who have a track record of serving enterprise customers. You should be able to leverage this network to accelerate the growth of Nebius' partner ecosystem.
• Strong technical knowledge of cloud-based solutions, with experience enabling partners to sell complex products (preferably GPU IaaS or similar cloud infrastructure solutions) to enterprise customers.
• Demonstrated experience in working with enterprise sales teams and marketing functions to co-create sales strategies, develop marketing materials, and execute joint initiatives that resonate with large-scale enterprise customers.
• Ability to develop high-level strategic plans for enterprise channel growth while also diving into the tactical aspects of partner enablement, contract negotiations, and performance tracking.
• Experience selling, enabling, and supporting enterprise solutions, particularly in cloud, IaaS, and GPU-based offerings. Comfort in understanding and articulating the technical value of solutions to both technical and business stakeholders within enterprise accounts.
• Demonstrated success in driving revenue growth and scaling partner ecosystems in an enterprise context.
• Ability to present Nebius effectively on presentations, with senior leadership, technical teams, and enterprise partners, ensuring clear and actionable messaging around Nebius’ offerings.

Solution Consultant – Enterprise Accounts 

At Anaplan, we believe the most powerful business transformations are led by people who are relentlessly curious and brave enough to challenge the status quo.  We are looking for a highly experienced technical strategist and innovator who enjoys solving business problems with enterprise AI solutions. This isn't about demoing software; it's about architecting a new future for how the world's leading companies plan, decide and act. 

Job Description 

As a core Solution Consultant, you will join our presales team supporting some of our largest enterprise customers.  You will be responsible for all aspects of the technical sales process by working directly with customers and collaborating with sales, domain specialists, business value consultants, product managers, customer success, and partners. Fundamentally, a core understanding of FP&A or Financial Transformation, Supply Chain domain or Workforce planning will make you stand out to the Anaplan hiring team. 

Why this Role Matters 

• Decision Making is moving fast in the AI era. Business leaders are no longer looking for just cost control—they need forecasting automation, cross-functional alignment, and real-time insights. You’ll help them get there. 
• You’ll work with decision-makers at leading enterprise organisations, influencing outcomes that impact thousands of employees and billions in revenue.
• You’ll be working on the cutting edge of innovation to bring to life our vision of AI-driven scenario planning and analysis across a connected enterprise. 

Your Responsibilities and Impact 

• Partner with account executives on technical strategy and sales process for accounts in your territory. 

• Be the technical solution expert across platform capabilities, including AI, data modelling and planning applications. 

• Lead discovery sessions that move beyond features and functions to uncover critical business needs. 

• Design and deliver tailored, narrative-driven demos that directly address customer pain points and showcase a clear vision for their future. 

• Execute proof-of-concept workshops that prove Anaplan's value in the customer’s own context. 

• Serve as the voice of the customer to our product management teams, ensuring your insights from the field shape the future of the Anaplan platform. 

• Coordinate and align specialist and product teams to help position multi-product solutions and mature complex opportunities to close. 

• Develop a multi-year technology vision and roadmap with your customers in cooperation with the Anaplan Customer Success team. 

Your Qualifications 

• Experience in a presales, FP&A or FCR, Supply Chain or Workforce Planning solution consulting, or business transformation role (SaaS/enterprise software preferred). 

• Know how to collaborate with account executives and own the technical sales process, including account strategy, discovery, demos, solution roadmaps and other technical validation steps. 

• Strong grasp of value-based selling and storytelling, not just showing features and functions. 

• Skilled with problem solving at the intersection of technology and business. 

• Proven ability to make complex ideas sound simple, clear, and persuasive with experience in public speaking. 

• Knowledge of enterprise AI platforms, GenAI, Agentic frameworks, machine learning, and data integration. 

• Hands-on experience with enterprise planning processes and solutions (e.g. Finance, Supply Chain, Workforce, Sales Performance) preferred 

• Familiarity with EPM, CPM, BI, or ERP systems is a strong asset 

• Prior industry experience with aligned accounts a plus 

About the role 

We are seeking an experienced Machine Learning Lead to helm our Machine Learning team. 

In this pivotal role, you will be the engineering architect behind Vulcan’s core AI capabilities. You will act as the nexus between Research, Platform, and Product. Your mission is to translate cutting-edge findings on GenAI threats into robust, production-ready machine learning models that power our GenAI Security Guardrails (Blue Team) and Automated Vulnerability Assessment (Red Team). 

Crucially, you will serve as the bridge between deep tech and business strategy, articulating technical constraints (like FLOPS and latency) to leadership and clients while guiding the engineering direction. 

Key Responsibilities

1. Model Development & Optimization (Training & Fine-tuning):

• Research to Production: Collaborate with the Security Research Team to operationalize new threat detection techniques. They identify the "what" (e.g., new prompt injection patterns); you determine the "how" (model architecture, training strategy). 
• Fine-tuning & Adaptation: Lead the fine-tuning of Language Models (e.g., using LoRA/PEFT) to optimize for our supported muti-lingual languages and specific security intents.
• Multimodal Readiness: Prepare the system for Multimodal (Text + Image/Audio) capabilities. Evaluate and implement models to detect visual prompt injections and non-textual threats as the product evolves. 

2. MLOps& Data Infrastructure: 

• Enhance & Scale MLOps: Take ownership of our existing ML pipelines. Focus on optimizing and scaling CI/CD/CT workflows to improve training efficiency and deployment velocity. 
• Data Governance: Implement and enforce rigorous Data Versioning strategies (e.g., DVC) to ensure complete reproducibility of model artifacts and datasets.
• Monitoring & Reliability: Maintain rigorous monitoring for model drift and performance, ensuring high reliability in a production security environment.

3. Cross-Functional Implementation & Leadership:

• Platform Collaboration: Work closely with the Platform Engineering Team to integrate ML models into the broader product architecture. Ensure seamless interaction between model inference services and the main platform logic. 
• Team Leadership: Lead and mentor Machine Learning Engineers, fostering a culture of engineering rigor, code quality, and operational excellence.
• Resource Management: Manage GPU resources and compute budgets effectively for both training and inference workloads. 

4. Technical Strategy & Stakeholder Management:

• Translating Tech to Business: Act as the technical voice of the ML team. You must effectively explain complex ML concepts (e.g., FLOPS, quantization trade-offs, model latency vs. accuracy) to executive leadership and clients. 
• Cost-Benefit Analysis: Justify compute resource investments. Articulate the trade-off between infrastructure costs (GPU hours) and performance gains to non-technical stakeholders. 

Qualifications

• Experience: 5+ years in Machine Learning Engineering, with specific experience in leading technical projects or mentoring engineers.
• Communication & Business Acumen: Exceptional ability to distill complex technical topics (e.g., compute complexity, infrastructure costs) into clear, business-relevant insights for decision-makers.
• MLOps Proficiency: Proven experience in optimizing ML pipelines and infrastructure. Familiarity with tools like MLflow, Kubeflow, Airflow, and Data Versioning tools (DVC, etc.).
• Engineering First: Proficient in Python, Docker, and Kubernetes. You treat ML models as software artifacts that need testing and version control.
• NLP & LLM Expertise: Experience with Transformer architectures, Embeddings, and LLM fine-tuning. Familiarity with frameworks like PyTorch, Hugging Face, and vLLM.
• Language Support: Experience processing or fine-tuning models for multi-lingual environments. 

Nice to Have

• Multimodal Expertise: Experience working with Multimodal models (Image-to-Text, Text-to-Image, VLMs like CLIP, LLaVA).
• Security Awareness: Understanding of GenAI security threats (e.g., Prompt Injection).
• High-Performance Computing: Experience optimizing inference speed (quantization, distillation, vLLM) for real-time applications.
• Vector Database: Experience with Vector DBs for RAG applications. 

Why Join Us? 

• Innovative Environment: Be part of a company at the forefront of technology to provide security in GenAI, with opportunities to work on groundbreaking projects. 
• Growth Opportunities: Take your career to new heights with our career development programs and growth-focused culture. 
• Dynamic Team: Join a multi-cultural and dynamic team of dedicated professionals who inspire and support each other. 
• Compensation: Competitive salary and benefits package, commensurate with experience and performance. 

Application Process 

• If you're ready to embark on this exciting journey and contribute to shaping the future of GenAI security, please submit your resume outlining your relevant experience and motivation for applying.
• If you prefer a direct connection or have specific questions about our vision, feel free to reach out to our Co-founder, Alvin Kwock, via LinkedIn. 

As an AI Researcher at Vatic Labs in Abu Dhabi, you will research and develop innovative AI-driven quantitative trading strategies. You will explore vast amounts of market and alternative data, inventing and applying a new generation of state-of-the-art technologies that are inspired by large language models, deep neural networks, transformers, and advanced prompt engineering methods to discover and capitalize on trading opportunities.

The nature of the problems we work on is challenging, hence we hire some of the world's top AI talent to develop novel AI methods and trading strategies. Our team of talented researchers and technologists has been recognized as leaders in their field. Our distinguished researchers have been widely cited for their publications in top-tier, peer-reviewed scientific journals. We are passionate about hiring the best and the brightest, empowering them with the tools and mentorship needed to be successful. Our environment is highly collaborative and open, sharing AI and trading expertise across team members and fostering innovation and growth.

If you possess all or most of the following, we would love to explore what is available for you with our team:

• Earned or will earn a Master’s or Ph.D. in a quantitative field, such as Computer Science, Electrical and Computer Engineering, Applied Math, Statistics, Quantitative Finance, Cognitive Science, Physics or another field of science.
• Experience analyzing large data sets with rigorous statistical and ML/AI approaches, including classification, clustering, regression (linear and nonlinear), optimization, signal processing, filtering and smoothing, time-series analysis, hidden Markov models, high-dimensional data analysis, vector quantization, decision tree methods, EM methods, Bayesian methods, variational inference methods, and neural networks.
• Demonstration of deep knowledge of large language models and deep neural networks for practical applications (e.g. NLP, vision, speech, signal processing, scientific computing, finance, etc). Finance applications preferred but not necessary.
• Ability to generate impactful research in academic or professional pursuits.
• Advanced understanding and experience of practical programming languages and software tools for data analysis and ML/AI applications, such as Python, C++, PyTorch, Tensorflow, etc.
• Interest and enthusiasm for learning about financial markets (previous experience not required).

At Vatic, we’re serious about our work—but we also believe in balance, growth, and having fun along the way. Here’s what you can expect:

• Flat structure with direct executive exposure – Work closely with leadership and make an impact from day one.
• Comprehensive health benefits – Full health insurance coverage for employees and dependents.
• Daily meals provided – Enjoy free lunch at the office.

Vatic Labs is a quantitative trading firm in New York and Abu Dhabi.  Our traders, AI researchers, and technologists collaborate to develop autonomous trading agents and cutting edge technology.  

As an AI Research Intern at Vatic Labs, you will contribute to the research and development of fully autonomous trading agents with some of the brightest researchers, traders, and technologists in the world. As a part of your internship at Vatic Labs, you will explore vast amounts of market data, research different AI approaches, apply cutting edge machine learning algorithms and statistical approaches to this data to discover and capitalize on trading opportunities.

We are seeking researchers who have demonstrated the ability to generate impactful research in their academic pursuits. We foster an open and academic environment, where collaboration is the key to our success. Drawing from our collective backgrounds in Computer Science, Mathematics, Statistics, and Physics, we apply rigorous analytics to test hypotheses derived from years of successful quantitative trading. We are passionate about hiring the best and the brightest, empowering them with the tools and mentorship needed to be successful.

If you possess the following, we would love to explore what is available for you with our team:

• Earned or will earn a PhD or Master's Degree in Computer Science, Statistics, Mathematics, Electrical Engineering, Physics, or related fields
• Demonstrable experience coding in C++ or Python in a Linux environment
• Have experience analyzing large datasets with rigorous statistical and machine learning approaches, including classification, clustering, and regression.
• In depth technical knowledge of AI, deep learning, and machine learning algorithms including strong knowledge of the mathematical underpinnings behind these various methods
• Have innate curiosity for understanding why and how certain techniques work
• Have deep knowledge of time-series analysis
• Advanced knowledge of a high-level language for numerical analysis, Python (numpy/scipy stack) preferred
• Contribution to AI and ML research communities, top tiered peer reviewed publications, publishing/presenting papers at conferences such as NIPS, ICML,  etc.
• Have an interest and enthusiasm for learning about financial markets (previous experience not required)

As a Quantitative Researcher at Vatic, you will research and develop innovative quantitative strategies. You’ll explore large-scale market data, applying novel machine learning and artificial intelligence methods to discover and capitalize on trading opportunities. The problems are challenging; we hire top talent, empower them with tools and mentorship, and foster a highly collaborative, open environment. Our researchers are recognized leaders whose work is widely cited in top-tier, peer-reviewed journals.

What You’ll Do

·      Formulate and test hypotheses on vast, multi-modal market datasets.
·      Build and evaluate ML/AI models (e.g., classification, clustering, regression) to identify alpha.
·      Design robust research pipelines and backtests; iterate from idea → signal → portfolio contribution.
·      Collaborate with engineers to productionize strategies and improve research tooling.Required Qualifications
·      PhD or Master’s (earned or in progress) in Computer Science, Statistics, Mathematics, Electrical Engineering, Physics, or related fields.
·      Relevant industry experience, or experience as a Postdoc/Faculty in a scientific lab.
·      Proven ability to analyze large datasets with rigorous ML/AI approaches.
·      Demonstrated ability to generate impactful research (academic or professional).
·      Deep knowledge of time-series analysis.
·      Advanced proficiency in a numerical language; Python (NumPy/SciPy stack) preferred.
·      Exposure to C++ or a related compiled language.
·      Interest in financial markets.Nice to Have
·      Experience with portfolio construction, risk modeling, and transaction cost analysis.
·      Familiarity with distributed computing frameworks and research workflow tooling.
·      Publications or open-source contributions in ML/stats or related areas.What We Value
·      First-principles thinking, high ownership, and a bias for rigorous experimentation.
·      Clear communication and collaboration across research and engineering.
·      Curiosity, humility, and continuous learning.

At Vatic, we’re serious about our work—but we also believe in balance, growth, and having fun along the way. Here’s what you can expect:

• Flat structure with direct executive exposure – Work closely with leadership and make an impact from day one.
• Comprehensive health benefits – Full health insurance coverage for employees and dependents.
• Daily meals provided – Enjoy free lunch at the office.