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Salesforce

<div><p><i>To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.
</i></p><p></p><p>Job Category
</p>Sales
<p></p><p>Job Details
</p><p></p><p><b>About Salesforce
</b></p><p>Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn&rsquo;t a buzzword &mdash; it&rsquo;s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.
</p><p></p><p>Ready to level-up your career at the company leading workforce transformation in the agentic era? You&rsquo;re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.
</p><p></p><p>Salesforce is hiring Deployment Strategists &mdash; Strategic Builders who are customer-facing advisors, who define AI strategy, shape agentic solutions, and drive measurable adoption for enterprise customers. You'll work as part of a delivery team alongside Forward Deployed Engineers, translating complex business challenges into agentic AI deployments that go live and generate real value. Engagements are focused and time-bound &mdash; typically 12 weeks or less &mdash; and may span a single strategic account or multiple customers simultaneously. Your impact isn't just getting to deployment. It ensures customers realise lasting, scalable value from the solutions your team builds.
</p><p></p><h2 class="jobSectionHeader"><b>Key Responsibilities
</b></h2><ul><li><p>Full Lifecycle Ownership: Lead end-to-end customer engagement across the complete value lifecycle &mdash; Identify Commit Deploy Consume &mdash; owning outcomes at every stage, not just discovery or deal closure
</p></li><li><p>AI Strategy &amp; Architecture: Define the customer's Agentic AI strategy and roadmap. Lead design workshops, agent design sessions, and jobs-to-be-done analysis. Architect solutions spanning Salesforce's agentic AI platform, Data Cloud, and enterprise systems, with responsible AI governance baked in from the start.
</p></li><li><p>Deployment Oversight &amp; Program Management: Manage engagement delivery end-to-end timelines, stakeholder communication, risk escalation, and progress reporting. You are the operational backbone of your delivery team, ensuring nothing falls through the cracks.
</p></li><li><p>Adoption &amp; Consumption: Own adoption, consumption, and expansion metrics within your engagement scope. Identify blockers early and develop strategies to drive measurable value realization
</p></li><li><p>Delivery Team Coordination: Partner closely with the Forward Deployed Engineers on your team to align strategy with technical execution. Keep the team focused, unblocked, and on track to hit delivery milestones.
</p></li><li><p>AI-Supported Development: You'll be developing real customer solutions supported by leading-edge AI tools: Including
</p></li><li><p>Cursor, Claude, and our coding products like Vibes, to accelerate development.
</p></li><li><p>Customer Stakeholder Management: Serve as the primary customer-facing contact, building trust-based relationships with senior stakeholders and present proposals, decisions and outcomes in terms of business value, not just technical detail.
</p></li><li><p>AI Readiness: Assess customer readiness for AI adoption and guide change management and process transformation to maximise the benefits of intelligent agents
</p></li><li><p>Product Feedback Loop: Synthesise field insights and translate them into actionable product feedback that influences Salesforce's Agentic AI platform roadmap.
</p></li></ul><p></p><h2 class="jobSectionHeader"><b>Required Qualifications
</b></h2><ul><li><p>4+ years experience in strategic solutioning, technical advisory, or delivery leadership or programme management for enterprise cloud or SaaS technology
</p></li><li><p>You have a degree in Computer Science or a related field
</p></li><li><p>Prior customer-facing delivery experience (consulting, professional services, or technical advisory) - this is a requirement, not a nice-to-have
</p></li><li><p>Demonstrated understanding of the Salesforce platform and ecosystem, including Agentic AI capabilities and Data Cloud
</p></li><li><p>Working knowledge of one or more programming languages: Python, JavaScript, Java, or Apex
</p></li><li><p>Proven ability to lead and own complex, ambiguous engagements end-to-end &mdash; from discovery through to measurable outcomes
</p></li><li><p>Experience leading AI/LLM solution design, including agentic AI strategy, conversation design, and responsible AI practices
</p></li><li><p>Strong project and programme management skills &mdash; ability to run multiple workstreams, manage stakeholder expectations, and keep delivery on track in ambiguous environments
</p></li><li><p>Ability to travel 25% of the time to customer sitesֿ
</p></li><li><p>Business level proficiency in Arabic and English
</p></li><li><p>Computer Science (CS) degree or related.
</p></li></ul><p></p><h2 class="jobSectionHeader"><b>Preferred Experience
</b></h2><ul><li><p>Experience with Salesforce Data Cloud, Agentforce platform, and Salesforce CRM (Sales, Service, Marketing)
</p></li><li><p>Experience designing and deploying AI solutions in regulated industries (e.g., public sector, financial services, healthcare)
</p></li><li><p>Salesforce platform certifications (e.g., Data Cloud Consultant, Agentforce Specialist, Application Architect) or similar platform certifications such as Microsoft, Oracle, or similar platforms.
</p></li><li><p>Background in change management, organisational design, or enterprise transformation
</p></li><li><p>Experience with AI/ML concepts beyond LLMs, including NLP, RAG architectures, and model evaluation frameworks
</p></li><li><p>A get-things-done mindset with strong bias for action &mdash; comfortable operating in unstructured fast moving environments
</p></li></ul><p></p><p>Unleash Your Potential
</p><p>When you join Salesforce, you&rsquo;ll be limitless in all areas of your life. Our benefits and resources support you to find balance and <i>be your best </i>, and our AI agents accelerate your impact so you can <i>do your best </i>. Together, we&rsquo;ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future &mdash; but to redefine what&rsquo;s possible &mdash; for yourself, for AI, and the world.
</p><p></p><p>Accommodations
</p><p>If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form .
</p><p></p><p>Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates&rsquo; resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.
</p><p></p><p>Posting Statement
</p><p>Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that&rsquo;s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications &ndash; without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.</p></div><p></p>

Deployment Strategist, Arabic Speaking

<div><p><i>To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.
</i></p><p></p><p>Job Category
</p>Sales
<p></p><p>Job Details
</p><p></p><p><b>About Salesforce
</b></p><p>Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn&rsquo;t a buzzword &mdash; it&rsquo;s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.
</p><p></p><p>Ready to level-up your career at the company leading workforce transformation in the agentic era? You&rsquo;re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.
</p><p></p><p>Salesforce is hiring Senior Forward Deployed Engineers &mdash; the Technical Builders, responsible for deciding that leads who design, build, and deploy the most complex agentic AI solutions directly inside enterprise customer environments. You'll lead technical delivery on your team, mentor the next wave of engineers, and set the engineering standards that define how agentic AI gets deployed at scale. Partnering closely with a Deployment Strategist (Strategic Builder - a customer-facing advisor who shapes AI strategy and drives adoption), you'll own outcomes end-to-end, from architecture decision to production. Your passion for well-crafted software that solves real problems will be supported by best-in-class AI tools and a team of talented builders around you.
</p><p></p><p><b>The Senior Builder Experience
</b></p><ul><li><p>Technical Ownership: Partner with a Deployment Strategist to own customer outcomes end-to-end. You're the senior technical authority in the room, ensuring deliverables meet the highest engineering standards, whether it was generated by an AI tool by a colleague or written by you directly.
</p></li><li><p>AI-Supported Engineering: Cursor, Claude, and Salesforce coding products like Vibes are embedded in your daily workflow. The conventions and patterns you develop tend to propagate through the team because other Builders look to your work as reference.
</p></li><li><p>Roadmap Influence: Your field experience routes directly to Product and Engineering. The gaps you hit and the edge cases you encounter in real life customer environments become the features they ship. Senior Forward Deployed Engineers are the most credible voice in agentic AIproduct evolution.
</p></li><li><p>Continuous Innovation: You're expected to stay at the forefront &mdash; piloting emerging AI tools, experimenting with new models and frameworks, and sharing what you learn with your team and customers.
</p></li></ul><p></p><p><b>What You'll Actually Be Building
</b></p><ul><li><p>Own end-to-end build and deployment of agentic AI solutions for Salesforce's most strategic customers &mdash; from architecture decisions through production handoff.
</p></li><li><p>Design and ship agentic systems on the Agentforce platform: agent logic, tool calls, multi-agent orchestration, deterministic guardrails, and the integration patterns that hold up in enterprise environments. Your reference implementations become the basis for how other Builders approach similar problems.
</p></li><li><p>Own the data lifecycle: model design, processing pipelines, and data readiness for AI applications across Salesforce Data 360, Snowflake, Databricks, and customer-specific platforms.
</p></li><li><p>Resolve the technical blockers that other engineers can't &mdash; data integration failures, model deployment issues, orchestration breakdowns, performance regressions. These problems are routed to you because of your track record of solving them.
</p></li><li><p>Build and maintain agent performance dashboards and customer KPI reporting to track deployment health and business outcomes across engagements.
</p></li><li><p>Develop proofs-of-concept and MVPs quickly, with the judgment to know which decisions can be deferred and which need to be right the first time.
</p></li><li><p>Codify what you learn. The patterns, reusable assets, and internal frameworks that come out of your real customer work become the playbooks the rest of the org draws from.
</p></li><li><p>Mentor other Engineers through code reviews, pair sessions, and shared work. Most of your influence on developing engineers happens inside the same codebases you're building in.
</p></li><li><p>Provide technical depth on at-risk or strategically critical deployments when senior engineering judgment is needed.
</p></li><li><p>Surface field insights directly to Product and Engineering. The gaps and edge cases you encounter in real customer environments are some of the most valuable inputs to the Agentforce roadmap.
</p></li><li><p>Partner with the Deployment Strategist on your team to translate complex customer business challenges into agentic solutions that actually ship.
</p></li></ul><p></p><p><b>You're Our Senior Forward Deployed Engineer If&hellip;
</b></p><ul><li><p>You have 6+ years of software engineering or technical delivery experience, with proven end-to-end ownership of scalable production systems in enterprise AI, cloud, or SaaS environments.
</p></li><li><p>You have a degree in Computer Science or a related field
</p></li><li><p>You're an expert in at least one of Python, JavaScript/TypeScript, Java, or Apex, and conversant in the others.
</p></li><li><p>You've integrated LLMs into production, used frameworks like LangChain or LlamaIndex, and applied prompt engineering and responsible AI practices in real customer contexts.
</p></li><li><p>You have deep experience in data modeling, processing, and analytics, with demonstrable proficiency across platforms like Salesforce Data 360, Snowflake, or Databricks.
</p></li><li><p>You bring deep Salesforce platform expertise: Agentforce, Apex, LWC, Flows, and Salesforce APIs.
</p></li><li><p>You have an entrepreneurial, get-things-done mindset focused on fast, impactful delivery &mdash; and the judgment to know when &quot;fast&quot; is the wrong call.
</p></li><li><p>You've mentored technical talent and created reusable assets &mdash; frameworks, playbooks, internal tooling.
</p></li><li><p>You communicate clearly and credibly with engineering peers, customer architects, and executive stakeholders.
</p></li><li><p>You actively tinker with the evolving AI/data landscape &mdash; piloting new tools, experimenting with new models, and staying genuinely curious about what's coming next.
</p></li><li><p>You're excited to travel ~25% of the time, embedded with customer engineers.
</p></li><li><p>Business level proficiency in Arabic and English
</p></li><li><p>Computer Science (CS) degree or related.
</p></li></ul><p></p><p><b>Nice-to-Haves
</b></p><ul><li><p>Salesforce certifications (Administrator, Platform Developer I/II, Agentforce Specialist, System Architect)
</p></li><li><p>Familiarity with DevOps/CI-CD practices, observability tooling, or data governance frameworks
</p></li><li><p>Experience architecting multi-cloud, multi-system enterprise AI solutions for Global 500 customers
</p></li><li><p>Track record of influencing enterprise software product roadmaps through field engineering insight
</p></li><li><p>Open-source contributions, published technical writing, or conference presentations
</p></li></ul><p></p><p>Unleash Your Potential
</p><p>When you join Salesforce, you&rsquo;ll be limitless in all areas of your life. Our benefits and resources support you to find balance and <i>be your best </i>, and our AI agents accelerate your impact so you can <i>do your best </i>. Together, we&rsquo;ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future &mdash; but to redefine what&rsquo;s possible &mdash; for yourself, for AI, and the world.
</p><p></p><p>Accommodations
</p><p>If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form .
</p><p></p><p>Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates&rsquo; resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.
</p><p></p><p>Posting Statement
</p><p>Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that&rsquo;s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications &ndash; without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.</p></div><p></p>

Forward Deployed Engineer, Arabic Speaking

Lenovo

<div><div><div><div><h3 class="jobSectionHeader"><b>General Information
</b></h3></div></div><div><div><div><div>Req #
</div><div>WD00100491
</div></div><div><div>Career area:
</div><div>Legal
</div></div><div><div>Country/Region:
</div><div>Saudi Arabia
</div></div><div><div>State:
</div><div>Riyadh
</div></div><div><div>City:
</div><div>Riyadh
</div></div><div><div>Date:
</div><div>Wednesday, June 10, 2026
</div></div><div><div>Working time:
</div><div>Full-time
</div></div><div><div><b>Additional Locations</b>:
<ul><li>Saudi Arabia</li></ul>
</div></div></div></div></div><div><div><div><h3 class="jobSectionHeader"><b>Why Work at Lenovo
</b></h3></div></div><div><div><div><div><div><div>We are Lenovo. We do what we say. We own what we do. We WOW our customers.</div><div></div><div><br>
Lenovo is a US$83 billion revenue global technology powerhouse, ranked #196 in the Fortune Global 500, and serving millions of customers every day in 180 markets. Focused on a bold vision to deliver Smarter Technology for All, Lenovo has built on its success as the world&rsquo;s largest PC company with a full-stack portfolio of AI-enabled, AI-ready, and AI-optimized devices (PCs, workstations, smartphones, tablets), infrastructure (server, storage, edge, high performance computing and software defined infrastructure), software, solutions, and services. Lenovo&rsquo;s continued investment in world-changing innovation is building a more equitable, trustworthy, and smarter future for everyone, everywhere. Lenovo is listed on the Hong Kong stock exchange under Lenovo Group Limited (HKSE: 992) (ADR: LNVGY).</div></div><br>
<div></div><br>
<div>This transformation together with Lenovo&rsquo;s world-changing innovation is building a more inclusive, trustworthy, and smarter future for everyone, everywhere. To find out more visit www.lenovo.com, and read about the latest news via our StoryHub.</div>
</div></div></div></div></div><div><div><div><h3 class="jobSectionHeader"><b>Description and Requirements
</b></h3></div></div><div><div><div><div><p>Lenovo is hiring a <b>Sr. Legal Counsel, based in Riyadh, Saudi Arabia</b> to be part of our Europe and META Region Legal Team. The role reports directly to Lenovo&rsquo;s EMEA General Counsel.<br>
</p><p><br>
Your responsibility will be as a generalist, to handle a wide range of legal matters arising from Lenovo&rsquo;s rapidly expanding operations in Saudi Arabia. This includes contract drafting and negotiation, supporting direct sales, marketing and advertising activities, handling issues arising from our channel business, ensuring compliance with competition laws, ensuring compliance with local laws (including Sharia law) and regulations, ensuring ethical conduct of all of Lenovo&rsquo;s employees (which involves proactively training to employees, advising employees and in some cases investigating conduct), handling and advising on employment law issues, and handling commercial disputes and litigation.</p><p><br>
As a successful candidate for this role, you have demonstrated the ability to:</p><ul><li>Develop and implement legal processes to help support business teams minimize legal risks for Lenovo</li><li>Communicate effectively, both within Saudi Arabia and to colleges globally from many diverse backgrounds, in a manner that is clear and proactive, about legal and business matters, providing good risk/benefit analysis and guidance to internal stakeholders</li><li>Collaborate with fellow internal legal counsels within EMEA, including subject matter experts across various specialist areas of law, technology experts, marketing and sales leaders, product developers, Lenovo&rsquo;s manufacturing team, as well as with Lenovo&rsquo;s customers and suppliers</li></ul><p><br>
As an ideal candidate you have the following skillsets and characteristics:</p><ul><li>12 + years of legal experience within a law firm or as in-house counsel in the areas of law mentioned above</li><li>Law degree from a local or internationally recognized University</li><li>Arabic and English (native speaker level) both in writing (particularly in legal drafting) and speaking</li><li>Proven track record in building strong, trust-based relationships with internal clients</li><li>Ability to interface with customers and members of large organizations and across multiple functions</li><li>Ability to work in a fast-paced environment and handle the competing demands of business clients</li><li>Client service and results-orientated</li><li>Able to balance risk with desired business outcomes and provide proactive and constructive business-supportive legal advice</li></ul><br>
</div></div><div><div><div><i>We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, religion, sexual orientation, gender identity, national origin, status as a veteran, and basis of disability or any federal, state, or local protected class.</i></div>
</div></div></div></div></div><div></div><div><div><div><div><div><b>Additional Locations</b>:
<ul><li>Saudi Arabia</li></ul>
</div></div><div><ul><li>Saudi Arabia<br>
</li></ul></div><div></div><div><div><div><br>
<br>
<div><b>AI PROCESSING NOTICE</b></div><div></div><div><br>
We use AI-based tools to support some of our processes (e.g. online interviews recordings and transcripts) in order to achieve better efficiency, accuracy and for our documentation purposes. AI can make mistakes, but we always make sure that the outputs are manually reviewed by a human. You can always opt-out or contact us in case of any question.</div></div></div></div></div></div></div></div>

Sr. Counsel, Legal, Saudi Arabia

MASTER-WORKS

<div><p>Our subsidiary (Nabeh) is seeking an <b>AI Solution, Engineer</b> who combines strong technical knowledge in AI and software engineering with excellent customer-facing and presentation skills. The role will work closely with Sales, Product, and Engineering teams to understand customer requirements, define solution scope, build Proofs of Concept, demonstrate AI products, and translate business needs into practical technical solutions.</p><p></p><b>
Key Responsibilities:</b><ul><li>
Build and deliver AI Proofs of Concept and technical prototypes.</li><li>
Support Sales during customer meetings, workshops, and product demonstrations.</li><li>
Understand customer requirements and translate them into clear technical and product scopes.</li><li>
Evaluate AI models and technologies based on accuracy, performance, and business needs.</li><li>
Prepare high-level solution architectures, workflows, and technical documentation.</li><li>
Support technical proposals, RFPs, and RFIs.</li><li>
Define POC success criteria, assumptions, limitations, and dependencies.</li><li>
Coordinate with Product and Engineering teams to ensure smooth project handover.</li><li>
Collect customer feedback and recommend product enhancements.</li><li>
Communicate technical capabilities and limitations to technical and non-technical stakeholders.</li></ul><br>
<b>
Requirements</b><br>
<ul><li>
Bachelor&rsquo;s degree in Computer Science, Software Engineering, Artificial Intelligence, or a related field.</li><li>
+3 years of experience in AI engineering, software engineering, solution engineering, or technical pre-sales.</li><li>
Strong knowledge of AI, machine learning, Generative AI, and software development.</li><li>
Hands-on experience with Python, APIs, databases, and backend development.</li><li>
Familiarity with LLMs, RAG, computer vision, speech AI, or document intelligence.</li><li>
Ability to build prototypes and integrate AI models into applications.</li><li>
Strong communication, presentation, and problem-solving skills.</li><li>
Ability to translate business requirements into practical technical solutions.</li><li>
Native Arabic speaker is mandatory.</li><li>
Strong professional proficiency in English is required.</li></ul><p></p><p><b>
Preferred Skills</b></p><ul><li>
FastAPI, Flask, or Django</li><li>
PostgreSQL and vector databases</li><li>
Docker and Kubernetes</li><li>
Cloud and on-premises AI deployments</li><li>
AI model serving and GPU infrastructure</li><li>
Product demonstrations and technical proposal writing</li></ul><p></p><p><b>
Job location: </b>HQ</p></div><p></p>

AI Solution, Engineer

FluidAI Medical

<p><b>Job Post Summary</b></p><p><b>Date Posted: June 25, 2026</b></p><p><b>Pay: SAR 135,000.00 - SAR 150,000.00 per year (Base Salary + Sales Commission)</b></p><p><b>Company Description:</b></p><p>We specialize in the development and deployment of data-driven surgical solutions, with an initial focus on general and gastrointestinal surgery. Our technologies integrate medical devices, software, and artificial intelligence into platforms that address real clinical and operational challenges across the continuum of surgical care.</p><p>We combine continuous physiological monitoring from our proprietary sensors with comprehensive electronic health record data, creating intelligent systems that enable earlier identification of clinical deterioration and complications. Beyond patient monitoring, our platform extends to patient education and engagement tools, as well as automated documentation and coding modules supporting care teams and driving operational efficiency.</p><p>Our team brings together expertise across clinical practice, research, engineering, data science, manufacturing, and commercialization. We build solutions designed for real-world impact, supported by full in-house capabilities, a strong intellectual property portfolio, and partnerships with leading institutions around the world.</p><p><b>Why Join FluidAI Medical?</b></p><ul><li>Mission to save lives and improve patient care with technology that&rsquo;s already deployed on patients in real-world settings.</li><li>Work with a high-performing and cross-functional team that is empowered to grow, learn, and contribute across all levels of the organization.</li><li>Personal career-focused development and training with access to workshops, coursework, and experienced mentors/consultants.</li></ul><p><b>Position Overview</b></p><p>You will serve as the technical authority behind FluidAI's commercial team across the Gulf, the trusted advisor who secures institutional confidence at every stage of the sales cycle. Anchored in Saudi Arabia and extending across the GCC, you will own the technical dimensions of every commercial engineering, and IT stakeholders across hospital exosystems; resolving complex questions in real time rather than in follow-up; authority the technical core of every tender and RFP response; and maintaining quote and configuration integrity from first engagement through to purchase order.</p><p>This is a field-intensive role, with substantial time spend on-site in hospitals alongside clinical champions, procurement teams, our distributor partners, and our engineering and AI/Data teams at FluidAI's headquarter in Canada. While our commercial leads own deal closure and our Forward Deployed Engineers deliver the integrations, you are accountable for the technical validation that connects the two - in the operating room, on the ward, and across the IT estate.</p><p>The role calls for a self-directed professionals who can lead an evaluation independently, speak to both the sensor hardware and the software platform with equal authority, and resolve technical obstacles without escalations. You will operate within a high-trust, high-accountability team that value rigour over hierarchy, welcomes open and evidence-based debate, and measures itself against outcomes.</p><p><b>Key Responsibilities</b></p><ul><li><b>Own technical pre- and post-sales across the GCC.</b> Lead product demonstrations and clinical evaluations of FluidAI&rsquo;s monitoring platform in live hospital settings &mdash; device setup, success criteria, evaluation monitoring, and results read-outs that convert clinical evaluations into procurement decisions.</li><li><b>Serve as the trusted technical advisor in the room.</b> Translate hardware, software, and data into clinical and operational value for surgeons, nursing, biomedical engineering, IT, and procurement &mdash; and address their questions directly and authoritatively.</li><li><b>Lead the technical content of tenders and RFP responses.</b> NUPCO and hospital-direct in KSA, and the equivalent payer and group-purchasing channels across the GCC: specifications, compliance matrices, regulatory documentation, and technical questionnaires.</li><li><b>Own quote and configuration integrity end to end.</b> Build and maintain quotes and product / bundle configurations within our CPQ system, ensuring deal records remain technically accurate &mdash; configurations, quantities, consumables, and calibration packs &mdash; from first engagement to purchase order.</li><li><b>Enable our distributor partners technically.</b> Product training, specification sheets, pricing-builder walkthroughs, and registration documentation.</li><li><b>Triage and escalate with precision.</b> Reproduce, document, and escalate technical issues arising during demonstrations and deployments, providing engineering with the detail required for rapid resolution.</li><li><b>Establish repeatable commercial-technical playbooks.</b> Train hospital staff and develop demonstration scripts, evaluation protocols, and technical FAQs that make each engagement more effective and more scalable than the last.</li><li><b>Channel field intelligence into the product.</b> Relay structured insight to our product and engineering teams &mdash; clinician requirements, commercial blockers, and technical failure modes &mdash; to inform the roadmap.</li><li><b>Support evaluation reporting.</b> Partner with our data team on evaluation data capture and customer-facing reporting &mdash; deployment dashboards and usage and outcomes summaries.</li></ul><p><b>Qualifications</b></p><ul><li>1&ndash;3 years in a technical, customer-facing healthcare role &mdash; clinical applications specialist, technical sales / sales engineering, field or biomedical engineering, or medical-device / health-software deployment.</li><li>Based in Saudi Arabia (or willing to relocate), with the flexibility to travel across the Kingdom and the wider GCC &mdash; anticipate 70%+ field time.</li><li>Fluency in Arabic and English, written and spoken &mdash; you will engage daily with clinical and procurement stakeholders across the region and a distributed engineering team in Canada.</li><li>Confidence operating autonomously in clinical environments &mdash; operating rooms, wards, and biomedical workshops &mdash; alongside clinical, technical, and procurement personnel.</li><li>The ability to address hardware, software, and data within a single conversation, calibrating depth to the audience &mdash; surgeon, CMIO or IT director, or procurement officer.</li><li>Hands-on proficiency with CRM and quoting / CPQ systems, and the discipline to maintain accurate deal records.</li><li>A bias toward action, tempered by sound judgement &mdash; you act decisively, iterate on evidence, and take ownership of outcomes.</li></ul><p><b>Preferred Experience</b></p><ul><li>Experience selling into or deploying within GCC government and group-purchasing health systems &mdash; KSA MOH health clusters, military and National Guard facilities, and university hospitals, together with their equivalents across the UAE, Qatar, Kuwait, Bahrain, and Oman.</li><li>Familiarity with NUPCO procurement and SFDA (MDMA) registration in KSA, and the equivalent regulatory and tendering pathways across the GCC.</li><li>Working knowledge of the hospital EMR / HIS landscape across the GCC and the major clinical information systems in regional use &mdash; sufficient to scope an integration before engaging engineering.</li><li>A background in surgical or perioperative care pathways.</li><li>Experience with pricing, bundle configuration, or CPQ systems.</li><li>A BSc in biomedical engineering, engineering, nursing or health sciences, or computer science.</li></ul><p><b>Transparency &amp; Hiring</b></p><ul><li><b>Application Screening:</b> All applications are reviewed manually. We do not use AI or AI-augmented Applicant Tracking Systems (ATS) to screen, assess, reject, or shortlist candidates.</li><li><b>Compensation: Pay: </b>SAR 135,000.00 - SAR 150,000.00 per year (Base Salary + Sales Commission).</li><li><b>Position status: </b>This posting represents an active vacancy.</li></ul><p>Pay: ﷼135,000.00 - ﷼150,000.00 per year</p><p>Work Location: In person</p>

Technical Sales Specialist — Healthcare (GCC)

atmaal

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  AI &amp; Advanced Analytics Specialist .
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  Key Responsibilities:
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  &bull; Collaborate with business stakeholders to translate strategic objectives into data-driven solutions and advanced analytics use cases.
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  &bull; Design and develop predictive models including forecasting, classification, regression, and customer segmentation.
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  &bull; Apply machine learning and optimization techniques to generate actionable business recommendations.
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  &bull; Utilize Natural Language Processing (NLP) techniques for sentiment analysis, text classification, and information extraction from unstructured data.
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  &bull; Conduct exploratory data analysis to identify trends, anomalies, and opportunities for business improvement.
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  &bull; Leverage Generative AI capabilities for intelligent automation, content summarization, code generation, and insight extraction.
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  &bull; Develop and deploy analytical solutions using modern cloud-based platforms and AI services.
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  &bull; Build interactive dashboards and visualizations that effectively communicate insights to both technical and non-technical stakeholders.
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  &bull; Monitor, validate, and continuously improve analytical models to ensure performance and reliability.
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  &bull; Maintain proper documentation, methodology standards, and reproducible analytics workflows.
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  Requirements:
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  &bull; Bachelor's degree in Data Science, Computer Science, Artificial Intelligence, Statistics, Mathematics, or a related field.
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  &bull; 3&ndash;4 years of experience in Data Science, Advanced Analytics, Machine Learning, or Artificial Intelligence.
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  &bull; Strong proficiency in Python.
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  &bull; Hands-on experience with Power BI.
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  &bull; Experience with Google Cloud Platform (GCP), including BigQuery, Vertex AI, and Google Cloud Storage.
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  &bull; Practical experience in Machine Learning, Predictive Analytics, and NLP.
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  &bull; Exposure to Generative AI technologies and Large Language Models (LLMs) is highly preferred.
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  &bull; Strong analytical, problem-solving, and stakeholder management skills.
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  Preferred Language Level:
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  &bull; Professional working proficiency in English (written and verbal).
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AI & Advanced Analytic Specialist

Maaden

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  Job Purpose
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  JOB DESCRIPTION
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   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.
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   The role ensures analytics products are designed, validated, industrialized, governed, and adopted at scale, providing measurable value across mining, processing, operations, and enterprise functions.
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   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
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  Key Accountabilities
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   Lead End-to-End Data Science Delivery
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   Developing, implementing and maintaining databases and data collection systems
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   Own the full lifecycle of ML/AI initiatives - from problem framing, data exploration, feature engineering, model development, validation, and MLOps handover.
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   Deliver scalable and production-grade models, ensuring alignment with enterprise data governance and AI standards.
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   Performing statistical analysis to understand and interpret data insights
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   Applying data mining techniques to identify patterns, trends, and relationships in large datasets
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   Building predictive models and machine learning algorithms to forecast future outcomes
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   Creating clear data visualizations and reports to communicate findings to stakeholders
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   Working with cross-functional teams to understand business needs and provide data-driven solutions
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   Design and maintain reliable data pipelines and models in partnership with data engineering to ensure data is accurate, timely, and trustworthy for downstream use
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   Ensuring data security and compliance with relevant regulations
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   Drive experimentation, model versioning, automated retraining, and continuous improvement.
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   Translate Business Needs into AI/Analytics Solutions
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   Establish frameworks and operating models that make data science accessible, scalable, and embedded within business and technical functions
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   Engage BU/domain stakeholders to identify value creation opportunities and convert them into actionable analytics use cases.
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   Build value hypotheses, KPIs, success criteria, and solution roadmaps in collaboration with Data &amp; AI leadership and business teams.
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   Industrialize AI/ML Models (ML Ops &amp; Architecture)
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   Partner with data engineering, data platforms, and cloud/OT architecture teams to embed models into enterprise systems and operational layers.
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   Set standards for production deployment, testing, monitoring, drift handling, and lifecycle governance.
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   Ensure seamless integration of predictive and optimization models into enterprise platforms, control systems, and digital twins
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   Leverage machine learning, optimization, and computer vision as enabling tools for performance, reliability, and sustainability improvements
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   Responsible AI, Quality &amp; Governance
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   Ensure compliance with Maaden&rsquo;s Responsible AI, data quality, and data governance frameworks.
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   Promote reproducibility, documentation, lineage tracking, and auditability across all data science assets.
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   Ensure transparency, explainability, and continuous model governance across production and enterprise environments
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   Stakeholder Management &amp; Value Realization
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   Communicate insights, results, risks, and recommendations to decision-makers using compelling narratives and visualization.
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   Track value realization, adoption metrics, and operational impact to ensure measurable benefit.
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  Minimum Qualifications
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  Minimum Qualification, Experience and Core Competencies:
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   Bachelor&rsquo;s degree in computer science, Data Science, Engineering, Mathematics, Statistics, or related fields.
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  Minimum Experience
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 Good to Have Capabilities
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   Minimum Experience:
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   6+ 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
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   Proven ability to translate business problems into analytic approaches: define hypotheses, design analyses, and synthesize results into clear recommendations.
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   Strong proficiency with modern ML frameworks and cloud platforms (TensorFlow, PyTorch, Azure, AWS) &ndash; Microsoft AI Factory
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   Strong technical fluency with modern analytics stacks, data modeling, SQL, and experience partnering effectively with engineering teams.
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   Machine Learning &amp; Advanced Analytics
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    Hands-on experience developing and deploying machine learning models, including time-series forecasting, predictive modeling, and optimization use cases
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    Strong understanding of model performance, validation, stability, and business impact
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   Generative AI &amp; AI Agents
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    Practical experience with Generative AI solutions, including copilots, intelligent automation, and agent-based workflows
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    Ability to embed GenAI capabilities into enterprise processes to improve decision-making and operational efficiency
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 Preferred Experience &amp; Platforms
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   Data Engineering (IT + OT)
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   Experience designing and maintaining data pipelines across IT and OT environments
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   Exposure to sensor data, streaming / real-time data processing, and industrial data sources
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   Ability to collaborate with data engineering teams to ensure reliable, timely, and trusted data flows
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   MLOps / AgentOps
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   Experience in model deployment and lifecycle management, including:
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    Transition from model development to production and scale
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    Monitoring, retraining, versioning, and drift management
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   Familiarity with automation and operationalization of ML/AI workloads
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   Cloud &amp; Analytics Platforms
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   Experience working with enterprise cloud platforms, preferably:
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    Microsoft Azure Data Platform
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    Databricks AI Platform
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    Microsoft AI Foundry / Microsoft AI Factory
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   Understanding of cloud-native architectures for scalable analytics and AI solutions
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  Core Competencies
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   Model Accuracy &amp; Reliability: Performance, drift stability, and operational uptime.
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   Adoption &amp; Business Impact: Value realized, user adoption, integration success.
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   Delivery Velocity: Timeliness of development cycles and deployment readiness.
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   Compliance &amp; Quality: Alignment with Responsible AI, governance, and documentation standards.
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Lead Specialist, Data Science & Analytics II

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