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Snowflake

<div><div>At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don&rsquo;t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset &mdash; who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done.
Position Overview: We are seeking an exceptional individual to join our team as an AI/ML Specialist looking after the META region in the Applied Field Engineering team. The ideal candidate will combine deep technical expertise with outstanding interpersonal skills to drive sales and innovation, align technical solutions with customer needs, and foster collaboration across teams. This position demands a thought leader who is equally comfortable discussing technical architectures and shaping strategic decisions.<div>
KEY RESPONSIBILITIES:</div><ul><li>
Solution Selling:<ul><li>
The role will be aligned to the sales engineering organisation, and hence the successful candidate should be skilled in technical sales.</li></ul></li><li>
Strategic Leadership:<ul><li>
Act as a trusted advisor to customers and internal stakeholders, guiding them on how our solutions align with their business goals.</li><li>
Support the adoption of features, best practices and technologies in the broader Snowflake ecosystem to maintain a competitive edge.</li></ul></li><li>
Technical Expertise:<ul><li>
Influence the design and implementation of complex AI/ML solutions, ensuring scalability, performance, and security.</li><li>
Provide hands-on technical guidance to AI/ML teams during critical projects.</li><li>
Stay updated on industry advancements, identifying opportunities to integrate cutting-edge technologies into our offerings.</li></ul></li><li>
Customer Engagement:<ul><li>
Deliver compelling technical presentations, workshops, and demonstrations to customers and partners.</li><li>
Troubleshoot and resolve customer challenges, leveraging a deep understanding of their workloads.</li></ul></li><li>
Team Collaboration:<ul><li>
Collaborate with product teams, fostering a culture of innovation, learning, and excellence.</li><li>
Team up with sales, marketing, and the wider snowflake team as well as GSIs, CSPs and ISVs to ensure alignment on customer objectives.</li><li>
Contribute to thought leadership through blog posts, white papers, quickstarts and industry events.</li></ul></li></ul><div>
TECHNICAL REQUIREMENTS:</div><ul><li>
Essential<ul><li>
Generative AI: Experience or understanding of using LLMs and related technology (e.g. vector dbs, embeddings etc.) for either chat assistants or unstructured data processing. Interest in emerging trends in the field such as Agents</li><li>
Machine Learning: Experience in the standard Python stack including but not limited to pandas, numpy, sklearn, matplotlib, pytorch etc.</li><li>
Programming: Demonstrated ability to code working AI/ML prototypes in Python (and, ideally, Snowpark Python)</li><li>
Solution Design: Demonstrated ability to architect complex, scalable solutions across diverse industries</li></ul></li><li>
Highly Desirable<ul><li>
Snowflake Experience: experience with the Snowflake AI/ML ecosystem</li><li>
Data Engineering: while not strictly part of the role, experience in the adjacent/overlapping discipline is beneficial</li><li>
ML Ops: Experience in ML Ops including feature stores, model registries, observability</li><li>
DevOps and CI/CD: Experience of DevOps practices and CI/CD pipelines</li></ul></li></ul><div>
PERSONAL ATTRIBUTES:</div><ul><li>
Visionary Thinking: Ability to anticipate industry trends and align technical sales strategies accordingly.</li><li>
Exceptional Communication: Skilled at translating complex technical concepts into accessible language for diverse audiences.</li><li>
Customer-Centric: Deeply invested in understanding and addressing customer needs.</li><li>
Collaborative Leadership: Proven ability to inspire, mentor, and unify cross-functional teams.</li><li>
Resilience: Comfortable navigating ambiguity, making tough decisions, and adapting to rapid changes.</li><li>
Integrity and Empathy: Embodying transparency, honesty, and understanding in all professional interactions.</li><li>
Internal Motivation: Demonstrates self-drive, passion, and a proactive approach to achieving goals and continuous improvement.</li></ul>
Why Join Us? This is a rare opportunity to shape the future of our product initiatives while having a meaningful impact on our customers and the industry. If you are a passionate technologist with a strategic mindset and a people-first approach and enjoy selling, we invite you to bring your expertise and vision to our team.
Snowflake is growing fast, and we&rsquo;re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.
How do you want to make your impact?
For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com</div></div>

AI Specialist

Dataiku

<div>
 Dataiku is the Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI. In a single environment, teams design and operate analytics, machine learning, and AI agents with the transparency, collaboration, and control enterprises require. Sitting above data platforms, cloud infrastructure, and AI services, Dataiku connects the full enterprise AI stack &mdash; empowering organizations to run AI across multi-vendor environments with centralized governance.
 
 
 The world&rsquo;s leading companies rely on Dataiku to operationalize AI and run it as a true business performance engine delivering measurable value. For more, visit the Dataiku blog, LinkedIn, X, and YouTube.
 
 
 The role of a Data Scientist at Dataiku is quite unique. Our Data Scientists not only code up solutions to real-world problems, but also participate in client-facing endeavours throughout the customer journey. This includes supporting their discovery of the platform, helping integrate Dataiku with other tools and technologies, some user training, and co-developing data science projects from design to deployment.
 
 
 Just as non-technical skills are important, so too are technical skills. Our Data Scientists work on the Dataiku platform every day. Aside from the visual tools, our team primarily uses Python and SQL, with occasional work in other languages (e.g., R, PySpark, JavaScript). An ideal candidate is excited to learn complex new technologies and modelling techniques while being able to explain their work to other data scientists and clients.
 
 
 
 In This Role, You'll Help The Team
 
 
 
 <ul>
 <li>
 Co-develop production-level data science projects with our customers
 </li>
 <li>
 Analyse and investigate various kinds of data and machine learning applications across industries and use cases
 </li>
 <li>
 Help users discover and master the Dataiku platform, via user trainings, office hours, and ongoing consultative support
 </li>
 <li>
 Provide data science expertise both to customers and internally to Dataiku&rsquo;s sales and marketing teams
 </li>
 <li>
 Develop custom Python-based &ldquo;plugins&rdquo; in collaboration with Solutions, R&amp;D, and Product teams, to enhance Dataiku&rsquo;s functionality
 
 
 </li>
 </ul>
 
 You might be a good fit for the role if you have:
 
 
 
 <ul>
 <li>
 English - fluent, Arabics - fluent/native will be a big plus
 </li>
 <li>
 Curiosity and a desire to learn new topics and skills
 </li>
 <li>
 Empathy for others and an eagerness to share your knowledge and expertise with your colleagues, Dataiku&rsquo;s customers, and the general public
 </li>
 <li>
 The ability to clearly explain complex topics to technical as well as non-technical audiences
 </li>
 <li>
 2 - 10 years of experience with Python and SQL
 </li>
 <li>
 2 - 10 years of experience with building ML models and using ML tools (e.g., sklearn)
 </li>
 <li>
 Familiarity with data visualisation in Python and R
 </li>
 <li>
 Understanding of underlying data systems such as Cloud architectures, Hadoop, or SQL
 
 
 </li>
 </ul>
 
 Technical Skills That May Help You In The Role
 
 
 
 <ul>
 <li>
 Experience with Consulting and/or Customer-facing Data Science roles
 </li>
 <li>
 Experience with Data Engineering or MLOps
 </li>
 <li>
 Experience developing WebApps in JavaScript, RShiny, or Dash
 </li>
 <li>
 Experience building APIs
 </li>
 <li>
 Experience using enterprise data science tools
 </li>
 <li>
 Passion for teaching or public speaking
 
 
 </li>
 </ul>
 
 What are you waiting for!
 
 
 
 At Dataiku, you'll be part of a journey to shape the ever-evolving world of AI. We're not just building a product; we're crafting the future of AI. If you're ready to make a significant impact in a company that values innovation, collaboration, and your personal growth, we can't wait to welcome you to Dataiku! And if you&rsquo;d like to learn even more about working here, you can visit our Dataiku LinkedIn page.
 
 
 
 Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer. All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. This applies to all policies and procedures related to recruitment and hiring, compensation, benefits, performance, promotion and termination and all other conditions and terms of employment. If you need assistance or an accommodation, please contact us at:
 
 reasonable-accommodations@dataiku.com
 
 
 
 Protect yourself from fraudulent recruitment activity
 
 
 
 
 Dataiku will never ask you for payment of any type during the interview or hiring process. Other than our video-conference application, Zoom, we will also never ask you to make purchases or download third-party applications during the process. If you experience something out of the ordinary or suspect fraudulent activity, please review our page on identifying and reporting fraudulent activity here.
 
 
 
</div>

Senior Data Scientist

Avarten

AI Video &amp; Creative Specialist (On-site | Dubai)We are a fast-growing international company based in the heart of Dubai, working across advanced AI solutions, marketing, and premium cosmetic brands.We are currently looking for a highly skilled AI Video &amp; Creative Specialist who can take ownership of creating high-end, realistic video content powered by artificial intelligence.This is a key role within our marketing and creative team, with direct impact on multiple global projects.Your Responsibilities<ul><li>Create high-quality, hyper-realistic AI-generated videos for:</li><li>cosmetic and aesthetic products</li><li>AI-driven software platforms</li><li>real estate</li><li>digital marketing campaigns and many more..</li><li>Design and execute creative concepts from idea to final output</li><li>Work with cutting-edge tools such as generative video, image, and animation AI systems</li><li>Develop and optimize advanced prompts (prompt engineering) to achieve premium visual results</li><li>Collaborate closely with the marketing team on campaigns, branding, and storytelling</li><li>Deliver projects under tight deadlines while maintaining exceptional quality</li></ul>Requirements<ul><li>Strong hands-on experience with AI content creation tools (e.g. Runway, Pika, Sora-style tools, Midjourney, Stable Diffusion, etc.)</li><li>Proven ability to create realistic, cinematic-quality AI visuals and videos</li><li>Experience in prompt engineering and AI workflow optimization</li><li>Strong sense of visual storytelling, composition, and aesthetics</li><li>Fluent English (spoken and written)</li><li>Highly creative, detail-oriented, and proactive</li><li>Ability to work under time pressure and manage multiple projects simultaneously</li><li>Strong communication skills and team collaboration mindset</li></ul>What We Offer<ul><li>Office-based role in central Dubai, Binary By Omniyat Tower</li><li>Work on international projects and global brands</li><li>Opportunity to grow within a rapidly expanding company</li><li>Dynamic, young, and ambitious marketing team</li><li>Access to cutting-edge tools and technologies</li><li>Supportive and professional work environment</li><li>Salary: to be discussed based on experience</li></ul>Working Hours Monday to Friday, on-siteStart Date Immediate availability preferredIf you are passionate about AI, visual creation, and want to work on high-impact international projects we would love to hear from you.Job Type: Full-timePay: From AED4,500.00 per monthWork Location: In person

AI Video Content Creation Specialist, CGI

Careem

<div>
 
 About the Company
 
 
 
 Careem is building the Everything App for the greater Middle East &mdash; making it easy to move around, order food and groceries, manage payments, and more. Our purpose is simple: to simplify and improve people&rsquo;s lives and build an awesome organisation that inspires.
 
 
 Since 2012, Careem has enabled earnings for over 2.5 million Captains, simplified the lives of more than 70 million customers, and built a platform where the region&rsquo;s best talent and entrepreneurs thrive. We operate in 70+ cities across 10 countries, from Morocco to Pakistan.
 
 
 
 
 We&rsquo;re now entering our next chapter &mdash; one powered by AI. We&rsquo;re looking for AI talent: curious problem-solvers who know how to apply AI to build tools, automate workflows, and create real impact. Whether it&rsquo;s streamlining operations, enhancing customer experience, or reimagining internal systems &mdash; we want people who can make Careem work smarter and move faster.
 
 
 
 
 
 
 About the Role
 
 
 
 
 We&rsquo;re looking for senior technical leaders who can architect and scale intelligent systems that architect the "brain" of our dark store operations. As a senior data scientist you won&rsquo;t just be building models, you&rsquo;ll be optimizing the lifecycle of millions of items from the moment they leave a supplier to the moment they reach a customer&rsquo;s doorstep in under 20 minutes. You will tackle the classic "perishable trade-off" ensuring our shelves are always stocked with what customers want, while ruthlessly minimizing wastage and maximizing every square centimetre of our dark store floor space.
 
 
 
 
 What You'll Do
 
 
 
 
 <ul>
 <li>
 Demand Forecasting: Build and deploy high-precision forecasting models to predict hyper-local demand at the SKU-store level.
 </li>
 <li>
 Inventory &amp; Availability: Develop replenishment algorithms that balance In-Stock Availability with the risk of expiry, specifically for high-turnover perishables.
 </li>
 <li>
 Wastage Mitigation: Use ML to identify items at risk of expiring and trigger automated interventions including reduced-to-clear discounting, intra-store replenishment etc.
 </li>
 <li>
 Dynamic Pricing &amp; Discounts: Design and A/B test pricing strategies that move inventory efficiently without eroding margins.
 </li>
 <li>
 Space Management: Optimize dark store space determining which items should be stored where within the dark store to minimize picker travel time and maximize storage density.
 </li>
 <li>
 End-to-End Ownership: Work closely with Product Managers and Supply Chain Operations to turn your models into production-level code that dictates real-world logistics.
 
 
 </li>
 </ul>
 
 
 What You'll Need
 
 
 
 
 <ul>
 <li>
 Academic Background &amp; Experience: 8+ years of experience in Data Science, ideally in E-commerce, Q-commerce, or Supply Chain. A background in Operations Research or Statistics. Hands-on proficiency in Python, Spark and ML frameworks. Experience with real-time inference systems and model monitoring in production. Strong understanding of experimentation, A/B testing, and causal inference. Demonstrated ability to drive architectural decisions across teams.
 </li>
 <li>
 Technical Skills: Professional-grade Python and SQL. Experience with optimization libraries (like Gurobi, CPLEX, or PuLP) and ML frameworks (XGBoost, LightGBM, or PyTorch).
 </li>
 <li>
 Problem Solving: Experience with Stochastic Optimization or Reinforcement Learning for inventory management is highly preferred.
 </li>
 <li>
 Business Intuition: You understand that a 1% reduction in wastage across 100+ stores translates to millions in saved EBITDA.
 </li>
 <li>
 Communication Skills: Excellent communication skills and ability to translate complex modelling trade-offs into business impact.
 
 
 </li>
 </ul>
 
 
 What We&rsquo;ll Provide You
 
 
 
 
 
 
 We Offer Colleagues The Opportunity To Drive Impact In The Region While They Learn And Grow. As a Full Time Careem Colleague, You Will Be Able To
 
 
 <ul>
 <li>
 Work and learn from great minds by joining a community of inspiring colleagues.
 </li>
 <li>
 Put your passion to work in a purposeful organisation dedicated to creating impact in a region with a lot of untapped potential.
 </li>
 <li>
 Explore new opportunities to learn and grow every day.
 </li>
 <li>
 Work 4 days a week in office &amp; 1 day from home, and remotely from any country in the world for 30 days a year with unlimited vacation days per year. (If you are in an individual contributor role in tech, you will have 2 office days a week and 3 to work from home.)
 </li>
 <li>
 Access to healthcare benefits and fitness reimbursements for health activities including gym, health club, and training classes.
 </li>
 </ul>
</div>

Senior Data Scientist II - Supply Chain

Elchai Group

<div>
 
 
 Position:&nbsp;
 
 
 AI Content &amp; Automation Specialist (AI Tools + Workflow + Systems)
 
 
 
 
 Company:
 
 
 &nbsp;Elchai Group
 
 
 
 
 Location:&nbsp;
 
 
 Dubai
 
 
 
 
 
 
 
 Overview
 
 
 
 
 We are looking for an AI-driven operator who can actively build, connect, and optimize systems using AI tools across our business.
 
 
 
 
 This is not a content creator role.
 
 
 
 
 This is a hands-on execution role.
 
 
 
 
 
 
 
 What you will do
 
 
 <ul>
 <li>
 Use multiple AI platforms (text, image, video, automation) to support real business operations
 </li>
 <li>
 Build workflows between tools (AI + CRM + email + social + website)
 </li>
 <li>
 Create repeatable systems (SOPs, prompt libraries, automations)
 </li>
 <li>
 Support content creation, but with a focus on performance and scalability
 </li>
 <li>
 Improve processes across marketing, internal operations, and digital channels
 </li>
 <li>
 Test and implement new AI tools to increase efficiency and output
 </li>
 <li>
 Track results and optimize based on data (conversion, time saved, output quality)
 </li>
 </ul>
 
 
 
 
 
 Required skills
 
 
 <ul>
 <li>
 Strong practical knowledge of AI tools (ChatGPT, Claude, automation tools, etc.)
 </li>
 <li>
 Ability to connect tools into workflows (Zapier, Make, APIs, or similar)
 </li>
 <li>
 Understanding of digital marketing systems (funnels, email, landing pages)
 </li>
 <li>
 Ability to turn ideas into working systems, not just concepts
 </li>
 <li>
 Analytical mindset (you look at data and improve performance)
 </li>
 </ul>
 
 
 
 
 
 This role is NOT for
 
 
 <ul>
 <li>
 Social media managers only
 </li>
 <li>
 Pure content creators
 </li>
 <li>
 People who only &ldquo;know AI tools&rdquo; but have never implemented real workflows
 </li>
 </ul>
 
 
 
 
 
 Required application task
 
 
 
 
 To apply, you must submit:
 
 
 
 
 1. One real workflow you built using AI (tools used + result)
 
 
 
 
 2. One example where AI improved a process (time, cost, or output)
 
 
 
 
 3. Optional: A short explanation of how you would automate part of a business using AI
 
 
 
 
 
</div>

AI Content & Automation Specialist (AI Tools + Workflow + Systems)

TALENTMATE

<div>
 
 Job Description
 
 
 
 Since launching in Kuwait in 2004, talabat, the leading on-demand food and Q-commerce app for everyday deliveries, has been offering convenience and reliability to its customers. talabat&rsquo;s local roots run deep, offering a real understanding of the needs of the communities we serve in eight countries across the region.
 
 
 We harness innovative technology and knowledge to simplify everyday life for our customers, optimize operations for our restaurants and local shops, and provide our riders with reliable earning opportunities daily.
 
 
 Here at talabat, we are building a high performance culture through engaged workforce and growing talent density. Were all about keeping it real and making a difference. Our 6,000+ strong talabaty are on an awesome mission to spread positive vibes. We are proud to be a multi great place to work award winner.
 
 
 
 
 
 Job Description
 
 
 
 
 
 As the leading delivery company in the region, we have a great responsibility and opportunity to impact the lives of millions of customers, restaurant partners, and riders. To realize our potential, we need to advance our platform to become much more intelligent in how it understands and serves our users.
 
 
 As a data scientist on the algorithms track, your mission will be to improve the quality of the decisions made across product and business via relevant, reliable, and actionable data through building machine learning models at scale. You will own a particular domain across product and business and will work closely with the corresponding product and business managers as part of a talented team of data scientists and data engineers. You will own the entire data value chain, including logging, data modeling, analysis, reporting, and experimentation.
 
 
 
 
 
 Responsibilities
 
 
 
 
 
 <ul>
 <li>
 Leveraging ambiguous business problems as opportunities to drive objective criteria using data.
 </li>
 <li>
 Solving complex business problems using the simplest most appropriate Algorithms to deliver business value.
 </li>
 <li>
 Designing and implementing effective and impactful machine learning systems in production.
 </li>
 <li>
 Developing a deep understanding of the product experiences and business processes that make up your area of focus.
 </li>
 <li>
 Developing a deep familiarity with the source data and its generating systems through documentation, interacting with the engineering teams, and systematic data profiling.
 </li>
 <li>
 Contributing heavily to the design and maintenance of the data models that allow us to measure performance and comprehend performance drivers for your area of focus.
 </li>
 <li>
 Working closely with product and business teams to identify important questions that can be answered effectively with data.
 </li>
 <li>
 Delivering well-formed, relevant, reliable, and actionable insights and recommendations to support data-driven decision-making through deep analysis and automated reports.
 </li>
 <li>
 Designing, planning, and analyzing experiments (A/B and multivariate tests).
 </li>
 <li>
 Supporting product and business managers with KPI design and goal setting.
 </li>
 <li>
 Mentoring other data scientists in their growth journeys.
 </li>
 <li>
 Contributing to improving our ways of work, our tooling, and our internal training programs.
 
 
 </li>
 </ul>
 
 
 Qualifications
 
 
 
 
 
 
 Technical Experience
 
 
 
 
 <ul>
 <li>
 Experience in machine learning, deep learning, recommendation/personalization systems, pattern recognition, data mining and artificial intelligence.
 </li>
 <li>
 Deep knowledge and experience in ML algorithms and frameworks (e.g. Scikit-learn, XGBoost, LightGBM, CatBoost, SVMs, Keras, TensorFlow, PyTorch ...).
 </li>
 <li>
 Excellent SQL.
 </li>
 <li>
 Competence with reproducible data analysis using Python or R.
 </li>
 <li>
 Familiarity with data modeling and dimensional design.
 </li>
 <li>
 Strong command over the entire data lifecycle including; problem formulation, data auditing, rigorous analysis, interpretation, recommendations, and presentation.
 </li>
 <li>
 Familiarity with different types of analysis including; descriptive, exploratory, inferential, causal, and predictive analysis.
 </li>
 <li>
 Deep understanding of the various experiment design and analysis workflows and the corresponding statistical techniques.
 </li>
 <li>
 Familiarity with product data (impressions, events, ..) and product health measurement (conversion, engagement, retention, ..).
 </li>
 <li>
 Familiarity with BigQuery and the Google Cloud Platform is a plus.
 </li>
 <li>
 Data engineering and data pipeline development experience (e.g. via Airflow)
 
 
 </li>
 </ul>
 
 
 Qualifications
 
 
 
 
 <ul>
 <li>
 Bachelors degree in engineering, computer science, technology, or similar fields. A postgraduate degree is a plus but not required.
 </li>
 <li>
 6+ years of experience working in data science, machine learning, and Gen AI.
 </li>
 <li>
 Experience doing data science in an online consumer product setting is a plus.
 </li>
 <li>
 A good problem solver with a &lsquo;figure it out&rsquo; growth mindset.
 </li>
 <li>
 An excellent collaborator.
 </li>
 <li>
 An excellent communicator.
 </li>
 <li>
 A strong sense of ownership and accountability.
 </li>
 <li>
 A &lsquo;keep it simple&rsquo; approach to #makeithappen.
 
 
 </li>
 </ul>
 Job Details
 
 
 Role Level: Mid-Level Work Type: Full-Time Country: United Arab Emirates City: Dubai Company Website: http://www.talabat.com Job Function: Information Technology (IT) Company Industry/
 
 
 Sector: IT Services and IT Consulting and Software Development
 
 
 What We Offer
 
 
 
 About The Company
 
 
 
 Searching, interviewing and hiring are all part of the professional life. The TALENTMATE Portal idea is to fill and help professionals doing one of them by bringing together the requisites under One Roof. Whether you're hunting for your Next Job Opportunity or Looking for Potential Employers, we're here to lend you a Helping Hand.
 
 
 Report
 
 
 Disclaimer: talentmate.com is only a platform to bring jobseekers &amp; employers together. Applicants are advised to research the bonafides of the prospective employer independently. We do NOT endorse any requests for money payments and strictly advice against sharing personal or bank related information. We also recommend you visit Security Advice for more information. If you suspect any fraud or malpractice, email us at abuse@talentmate.com.
</div>

Staff Data Scientist Algorithms ML

Fresha

<div>
 
 The AI-powered OS
 
 
 for beauty,
 
 
 
 
 wellness
 
 
 and self-care
 
 
 
 
 About Fresha
 
 
 
 Fresha is the AI-powered operating system for the global beauty, wellness and self-care industry, connecting and powering everything from salons and barbers to spas, medspas, fitness studios and health practices.
 
 
 Trusted by millions of consumers and businesses worldwide. Fresha is used by 140,000+ businesses and 450,000+ stylists and professionals worldwide, processing over 1 billion appointments to date.
 
 
 The company is headquartered in London, United Kingdom, with 15 global offices located across North America, EMEA and APAC.
 
 
 Fresha allows consumers to discover, book and pay for beauty and wellness appointments with local businesses via its marketplace, while beauty and wellness businesses and professionals use an all-in-one platform to manage their entire operations with an intuitive business software and financial technology solutions.
 
 
 Fresha&rsquo;s ecosystem gives merchants everything they need to run their business seamlessly by facilitating appointment bookings, point-of-sale, customer records management, marketing automation, loyalty, beauty products inventory and team management.
 
 
 The consumer marketplace unlocks revenue potential for partner businesses by leveraging the power of online bookings and automated marketing through mobile apps and advanced integrations with major tech brands including Instagram, Facebook and Google.
 
 
 Given our exciting and progressive growth plans, we are looking for an exceptional Professional Services Specialist to come and join our global business.
 
 
 Reporting into Team Lead, Professional Services, Europe &amp; GCC and working closely with our Business Development and Account Management Teams, you will be accountable for ensuring a quality efficient build for all our Partners coming onto the Fresha Ecosystem through Inbound &amp; Outbound channels.
 
 
 This is a great opportunity for someone looking to work in a fast-paced and changing environment, who likes to work autonomously, enjoys a challenge and wants to make an impact.
 
 
 To foster a collaborative environment that thrives on face-to-face interactions and teamwork, all Fresha employees work from the office five days per week.
 
 
 <ul>
 <li>
 For this particular role we require Fluent Arabic reading, speaking and writing proficiency.
 
 
 </li>
 </ul>
 
 KPIs
 
 
 
 <ul>
 <li>
 Onboarding Lead time - average of 7 business days per Professional Services Specialist
 
 
 </li>
 </ul>
 
 Partner Onboarding
 
 
 
 <ul>
 <li>
 Understand our partners business requirements, and confidently communicate the Fresha Onboarding approach and project plan
 </li>
 <li>
 Be able to clearly articulate the Fresha Ecosystem including Fresha Pay Online, our Booking Software &amp; the Marketplace in order to provide solutions into the Partners&rsquo; business requirements
 </li>
 <li>
 Lead the Partner on the onboarding journey, managing expectations, risks and ultimately accurate go live dates
 </li>
 <li>
 Demonstrate strong attention to detail to ensure quality Fresha profiles are built for all our Partners with particular focus on activating all our payment features
 </li>
 <li>
 Assist our partners in representing themselves in the best possible manner on our platform
 
 
 </li>
 </ul>
 
 Marketplace
 
 
 
 <ul>
 <li>
 Provide continuous quality assurance on the Marketplace to ensure this looks good at all time
 </li>
 <li>
 Provide sufficient guidance and documentation to ensure a seamless handover experience for the partner to Partner Success or Customer Experience teams
 
 
 </li>
 </ul>
 
 Additional Ad-Hoc
 
 
 
 <ul>
 <li>
 Comfortable presenting information, and open to feedback
 </li>
 <li>
 Cover other team members Partner projects to ensure we win as a team
 </li>
 <li>
 Ensure efficient and accurate use of Hubspot to accurately reflect the progress of each Partner in the Onboarding pipeline whilst also tracking all activity and correspondence
 </li>
 <li>
 Proactively search for new features, processes &amp; opportunities that may optimize our own internal processes, improve Partner experience and drive conversions
 </li>
 <li>
 This list is not exhaustive and there may be other activities you are required to deliver.
 
 
 </li>
 </ul>
 
 Skills, Experience &amp; Qualifications Required
 
 
 
 <ul>
 <li>
 Commercially minded, understanding critical needs of Partners onboarding
 </li>
 <li>
 Managing expectations of Partner right from the start
 </li>
 <li>
 Exceptionally high organizational and time management skillsExcellent oral and written communication skills
 </li>
 <li>
 Proficient in Excel and data cleaning an asset
 </li>
 <li>
 Project coordination experience or certification highly desired
 </li>
 <li>
 Experience working in the Beauty &amp; Wellness sector or previous start-up/scale-up tech company environment an asset
 </li>
 <li>
 Ability to identify problems and opportunities as well as offer or implement actions and solutions
 </li>
 <li>
 Strong analytical and troubleshooting skills
 </li>
 <li>
 An ability to influence others through effective communication and negotiations
 </li>
 <li>
 Flexible and comfortable working in a fast-paced and changing environment
 </li>
 <li>
 Creative thinking and problem-solving mindset
 </li>
 <li>
 Ability to interact with people from across the business and build strong relationships, including the ability to effectively influence upwards
 </li>
 <li>
 Team player - must be happy to &lsquo;roll sleeves up&rsquo; and assist the team whenever required
 </li>
 <li>
 Self-starter and highly proactive approach
 </li>
 <li>
 At Fresha, we value passion and potential as much as specific skills. If you're enthusiastic and eager to learn, we encourage you to apply, even if you don't meet every listed requirement. We believe in fostering growth and providing the support needed for you to excel in your role.
 
 
 </li>
 </ul>
 
 Interview Process
 
 
 
 <ul>
 <li>
 Screen Call - Video-call with a member from the Talent Team (30m)
 </li>
 <li>
 Skills &amp; Experience - Video-call with PSS Hiring Team (30m)
 </li>
 <li>
 Technical Ability &amp; Cultural Assessment - In-person with PSS Team Lead, GCC and GCC GM
 </li>
 <li>
 We aim to finalise the entire interview process and deliver feedback within 2 weeks.
 
 
 </li>
 </ul>
 Every job application received is reviewed manually by our talent team. While we strive to assess applications within 7 days, the sheer volume of talented individuals expressing interest may occasionally extend this timeframe.
 
 
 
 Inclusive workforce
 
 
 
 At Fresha, we are creating a culture where individuals of all backgrounds feel comfortable.
 
 
 We want all Fresha people to feel included and truly empowered to contribute fully to our vision and goals. Everyone who applies will receive fair consideration for employment.
 
 
 We do not discriminate based on race, colour, religion, sex, sexual orientation, age, marital status, gender identity, national origin, disability, or any other applicable legally protected characteristics in the location in which the candidate is applying.
 
 
 If you have any accessibility requirements that would make you more comfortable during the interview process and/or once you join, please let us know so that we can support you.
 
 
 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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Professional Services Specialist (Dubai)

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