planning engineer

sales engineer

electrical engineer

engineering coordinator

hse engineer

ai engineer

Supertech Group

<div><p>Do you want to love what you do at work? Do you want to make a difference, an impact, transform people&rsquo;s lives? Do you want to work with a team that believes in disrupting the normal, boring, and average?</p><p></p><p>
If yes, then this is the job you&rsquo;re looking for. <b>UXBERT Labs</b> is one of the best digital and user experience design agencies in the GCC working with the biggest regional and international brands such as STC, Amazon, Gucci and more. UXBERT Labs is part of the Supertech Group also consisting of Hala Yalla, Saudi&rsquo;s #1 private event ticketing and experience booking platform, and Kafu Games, the largest esports tournament platform in MENA.</p><p></p><p><b>
Key Responsibilities:</b></p><ul><li><ul>
<li>Design, develop, and deploy full-stack applications that integrate AI models, with a focus on LLMs for tasks such as natural language processing, generation, and automation.</li>
<li>Collaborate with cross-functional teams to rapidly prototype and iterate on ideas, ensuring quick turnaround from concept to production-ready solutions.</li>
<li>Utilize LangChain and LangGraph to build efficient, stateful AI agents and multi-step workflows that apply existing models to solve real-world problems.</li>
<li>Implement cloud-based infrastructure (e.g., AWS, Azure, GCP) for hosting, scaling, and managing AI applications, including data pipelines, APIs, and deployment pipelines.</li>
<li>Participate in live coding sessions and rapid development sprints to demonstrate and refine solutions in real-time.</li>
<li>Optimize applications for performance, security, and reliability, ensuring seamless integration of AI components into user-facing systems.</li>
<li>Troubleshoot and debug complex issues across the stack, from frontend interfaces to backend AI logic and cloud deployments.</li>
<li>Stay updated on emerging AI tools and best practices to continuously improve development processes and application efficiency.</li>
</ul></li></ul><p><b>Requirements</b></p><ul><li><ul>
<li>Bachelor's or Master's degree in Computer Science, Engineering, Artificial Intelligence, or a related field (or equivalent experience).</li>
<li>Minimum 10+ years of experience in full-stack development, with proficiency in frontend (e.g., React, Vue, Angular) and backend (e.g., Node.js, Python, Django, Flask, FAST API) technologies.</li>
<li>Working knowledge of leading AI coding platforms and tools, including Claude, OpenAI Cursor, and similar frameworks for building and integrating AI-driven applications</li>
<li>Strong expertise in working with Large Language Models (LLMs) such as GPT, BERT, or similar, including fine-tuning, prompting, and integration into applications.</li>
<li>Hands-on experience with LangChain for chaining LLM calls and LangGraph for building graph-based AI applications.</li>
<li>Proven ability in cloud platforms (e.g., AWS, Azure, GCP), including services for compute, storage, databases, and AI/ML (e.g., SageMaker, Vertex AI).</li>
<li>Demonstrated skills in live coding and rapid prototyping to quickly validate and implement ideas.</li>
<li>Solid understanding of software engineering principles, including version control (Git), CI/CD pipelines, and agile methodologies.</li>
<li>Excellent problem-solving skills and the ability to work independently or in a team to deliver high-quality results under tight deadlines.</li>
<li><ul><li>Experience with additional AI frameworks like Hugging Face Transformers, TensorFlow, or PyTorch.</li>
<li>Knowledge of containerization (Docker) and orchestration (Kubernetes) for deploying AI applications at scale.</li>
<li>Familiarity with data engineering tools (e.g., Apache Airflow, Spark) for handling AI data pipelines.</li>
<li>Background in DevOps practices to automate infrastructure and deployment processes.</li>
<li>Strong communication skills to explain technical concepts to non-technical stakeholders.</li></ul></li></ul></li></ul></div>

Senior AI Engineer

Lucidya

<div><p>We are seeking a Generative AI Engineer to join our team and help design, build, and optimize applications powered by large language models (LLMs) and other generative AI technologies. This role combines deep technical expertise with creativity in prompt design, system integration, and deployment of AI-driven solutions that deliver real-world impact.</p><p></p><p>
You will work closely with product, research, and engineering teams to develop scalable, reliable, and effective AI solutions&mdash;from backend infrastructure to prompt optimization.</p><p></p><h3 class="jobSectionHeader"><b>
Key Responsibilities</b></h3><ul>
<li>LLM Application Development: Build and deploy AI-powered applications leveraging LLMs, multimodal models, and generative AI frameworks.
</li><li>Prompt Engineering: Design, test, and optimize prompts to achieve reliable, high-quality outputs for diverse use cases.
</li><li>Model Integration: Integrate third-party models (e.g., OpenAI, Anthropic, open-source LLMs) into production systems using APIs and MCP servers.
</li><li>MLOps/AI Infrastructure: Configure and manage model-serving environments, ensuring scalability, security, and high availability.
</li><li>Data Handling: Preprocess and manage datasets to fine-tune or adapt models for specific business needs.
</li><li>Collaboration: Partner with product managers, designers, and researchers to align AI capabilities with user experience goals.
</li><li>Evaluation &amp; Monitoring: Define metrics, run experiments, and monitor generative AI systems for quality, bias, and performance.
</li><li>Innovation: Stay up to date with the latest advancements in generative AI and propose creative applications of emerging technologies.</li>
</ul><p><b>Requirements</b></p><ul>
<li>Minimum Bachelor&rsquo;s degree in Computer Science, Data Science, or a related field.
</li><li>Strong background in AI/ML, with a focus on generative models.
</li><li>Strong proficiency in Python and hands-on experience with deep learning frameworks such as PyTorch, TensorFlow, and Hugging Face.
</li><li>Practical experience with LLM APIs (e.g., OpenAI, Anthropic, Cohere) or open-source models (e.g., LLaMA, Mistral, Falcon).
</li><li>Expertise in prompt engineering and prompt optimization for diverse tasks.
</li><li>Proven experience in configuring and setting up MCP servers or similar model-serving infrastructure.
</li><li>Strong problem-solving skills with the ability to translate complex business requirements into scalable AI solutions.
</li><li>Excellent communication and collaboration skills to work effectively across technical and non-technical teams.
</li><li>Proactive mindset with the ability to take ownership of challenges and drive solutions.
</li><li>Publications, research contributions, or involvement in open-source generative AI projects are a strong plus.</li>
</ul><p><b>Benefits</b></p><h3 class="jobSectionHeader"><b>
Why Join Us?</b></h3><p>
This is more than just an engineering role. it&rsquo;s an opportunity to shape the infrastructure and technical future of Lucidya. You&rsquo;ll play a key part in scaling our platform, building a strong engineering culture, and delivering technology that empowers companies across the region and beyond.</p><p>
We offer Employee Stock Option Plans (ESOP) to give you ownership in the company&rsquo;s success, along with performance-based bonuses to reward your impact and dedication. As part of a fast-growing team, you&rsquo;ll have the autonomy to lead, innovate, and grow&mdash;both personally and professionally.</p></div>

Generative AI Engineer (Saudi-based only)

IntelliSense.io

<p><b>Join IntelliSense.io as a Mining Technology Engineer!</b></p><p>Shape the Future of Mining with IntelliSense.io</p><p>Are you passionate about using cutting-edge technology to transform the mining industry? IntelliSense.io is seeking a talented and motivated <b>Mining Technology Engineer </b>to lead our expansion into the Kingdom of Saudi Arabia as our first hire in the region.</p><p>We are pioneers in Objective AI (ODAI), integrating fundamental physics with AI to characterize the physical world and deliver <i>high-value decision recommendations</i> acting as the brains of the operation. Our technology delivers recommendations to humans as their role-specific <i>co-pilots</i> augment human intelligence or direct to the execution systems (machines) making operations <i>autonomous</i>.</p><p>With a global, remote-first workforce and regional hubs in the UK, Australia, Chile, and Ireland, we are now expanding our presence in the Middle East, particularly in Saudi Arabia &mdash; a global leader in mining development under <b>Vision 2030</b>.</p><p>Your Responsibilities</p><ul><li>Lead the <b>implementation of AI-driven software products</b> at mining sites in Saudi Arabia.</li><li>Collaborate closely with client teams to understand operational needs and configure customised technology solutions.</li><li>Provide training and ongoing support to end users, ensuring full adoption and value realisation.</li><li>Act as the primary contact between our engineering/product teams and clients, collecting feedback and identifying areas for enhancement.</li><li>Support regional business growth through client engagement, renewals, and solution expansion.</li></ul><p>What You Bring</p><ul><li>A <b>degree in Metallurgy, Mining Engineering, Process Engineering, Chemical Engineering</b>, or a related discipline.</li><li><b>3+ years of hands-on experience</b> in mining operations, process optimisation, or deploying new technology or software solutions within the industrial or mining sectors.</li><li>Exposure to <b>AI </b>or <b>digital transformation</b> initiatives is highly desirable.</li><li><b>Strong analytical and problem-solving abilities</b>, with excellent interpersonal and communication skills.</li><li><b>Fluency in both English and Arabic</b> is essential.</li><li><b>Willingness to travel</b> regularly to mining sites across Saudi Arabia and internationally. A <b>valid driving licence</b> is required due to the remote locations of client operations.</li><li>Openness to travel to the <b>United Kingdom for extended training periods</b>, particularly during the onboarding phase.</li></ul><p>What We Offer</p><ul><li>Competitive salary and benefits package in line with local market standards</li><li>Remote-first and flexible working model</li><li>Generous paid time off (annual leave and public holidays per Saudi Labour Law)</li><li>Paid parental and sick leave</li><li>A chance to be part of Saudi Arabia&rsquo;s mining transformation and contribute to <b>Vision 2030</b></li><li>A fast-paced, supportive international environment with significant career growth opportunities</li><li>A chance to be one of the first employees in the Middle East region, supporting and helping to shape a fast growing industrial AI business</li></ul><p>Be Part of the Future</p><p>If you're excited about the intersection of AI, mining, and industrial innovation, we&rsquo;d love to hear from you.</p><p><b>Note:</b> This role is open to Saudi nationals and expatriates with the legal right to work in the Kingdom. IntelliSense.io is an equal opportunity employer and values diversity in our teams.</p><p>Job Type: Full-time</p><p>Education:</p><ul><li>Bachelor's (Required)</li></ul><p>Experience:</p><ul><li>mining operations/ process optimisation: 3 years (Required)</li></ul><p>Language:</p><ul><li>English and Arabic (Required)</li></ul>

Mining Technology Engineer

MASTER-WORKS

<div><p><b>Job Overview:</b></p><p>
Master Works is looking for a highly skilled LLM Engineer to join our AI Core Delivery team within the AI &amp; Analytics CoE. In this role, you will develop, deploy, and optimize advanced language model capabilities, including Retrieval-Augmented Generation (RAG) pipelines and agentic AI systems. You will play a key role in scaling AI Core as the central enterprise AI platform by ensuring production-ready performance, robust observability, and seamless integration of LLMs with internal and external systems.</p><p><b>
Key Responsibilities</b></p><ul>
<li><b>Model Development &amp; Optimization</b></li>
<li><ul><li>Build and optimize RAG pipelines for efficient document processing, indexing, and retrieval.</li>
<li>Implement agentic AI logic for tool integration, task automation, and external data access.</li>
<li>Enhance query understanding, response ranking, and AI-generated output quality.</li>
<li>Develop evaluation benchmarks to measure LLM performance, accuracy, and relevance.</li>
</ul></li><li><b>LLMOps &amp; Deployment</b></li>
<li><ul><li>Collaborate with API developers and backend engineers to deliver secure, observable LLM endpoints.</li>
<li>Deploy and manage LLMs in cloud-native or hybrid environments with support for scalability and multi-cloud readiness.</li>
<li>Implement CI/CD workflows for model updates, rollback mechanisms, and performance tuning.</li>
</ul></li><li><b>Backend &amp; Data Integration</b></li>
<li><ul><li>Integrate LLM capabilities with enterprise data sources and knowledge bases.</li>
<li>Support multi-source retrieval and embedding strategies to improve AI responses.</li>
<li>Design pipelines that ensure low latency, high throughput, and fault tolerance.</li>
</ul></li><li><b>Security &amp; Compliance</b></li>
<li><ul><li>Apply enterprise-grade authentication, access management, and encryption standards.</li>
<li>Ensure compliance with internal governance policies, data privacy, and audit requirements.</li>
</ul></li><li><b>Continuous Improvement</b></li>
<li><ul><li>Monitor system performance, debug issues, and fine-tune models based on real-world feedback.</li>
<li>Stay updated on advancements in LLM architectures, open-source tools, and evaluation frameworks.</li>
</ul></li></ul><p></p><p><b>Requirements</b></p><ul>
<li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, AI, Data Science, or related field.</li>
<li>Hands-on experience with <b>LLM development and deployment</b> (OpenAI, Anthropic, Hugging Face, LLaMA, etc.).</li>
<li>Strong understanding of <b>Retrieval-Augmented Generation (RAG)</b>, embeddings, and vector databases.</li>
<li>Experience with <b>cloud environments (AWS, Azure, GCP)</b> and infrastructure-as-code (IaC).</li>
<li>Proficiency with <b>Python or similar languages</b> for AI/ML pipeline development.</li>
<li>Familiarity with <b>container orchestration (Docker, Kubernetes)</b> and CI/CD practices.</li>
<li>Knowledge of <b>observability tools</b> for monitoring AI performance in production environments.</li>
</ul><p><b>Preferred Skills</b></p><ul>
<li>Experience integrating <b>agentic AI capabilities</b> with external APIs and automation tools.</li>
<li>Strong grasp of <b>prompt engineering, contextual memory systems, and LLM evaluation</b>.</li>
<li>Exposure to <b>enterprise AI security and compliance standards</b>.</li></ul></div>

LLM Engineers

Lucidya | لوسيديا

<div>
 Lucidya is the leading customer experience intelligence platform in the MENA region, helping organizations deeply understand and serve their customers using cutting-edge AI. As we expand our AI capabilities, we are building agentic AI services that can reason, plan, and act autonomously to deliver real business value.
 <br/>
 <br/>
 We are looking for an AI Agent Architect to design and lead the architecture of our next-generation AI agent systems.
 <br/>
 <br/>
 As an AI Agent Architect, you will own the end-to-end design of agent systems at Lucidya. Your role is to define how agents reason, interact with tools, collaborate as multi-agent systems, manage memory, and operate safely at scale. You will work closely with ML engineers, backend engineers, product managers, and UX designers to turn advances in LLMs and agent frameworks into robust, production-ready systems fully integrated with Lucidya's platform.
 <br/>
 <br/>
 We are seeking someone with a deep understanding of AI technologies who can architect systems that enable intelligent, goal-driven behaviors in our products. Collaboration is key: you will work across teams to align AI solutions with business needs, enhance user experiences, and bring innovative ideas from concept to production.
 <br/>
 <br/>
 <strong>
  Key Tasks &amp; Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design and implement the architecture of Lucidya's AI agents, including reasoning loops, planning, reflection, and multi-agent collaboration.
  </li>
  <li>
   Research and apply state-of-the-art methods in machine learning, natural language processing, and reinforcement learning.
  </li>
  <li>
   Guide the development of prototypes and proof-of-concept models, experimenting with emerging technologies.
  </li>
  <li>
   Collaborate with software engineers and data scientists to integrate AI capabilities seamlessly into Lucidya products.
  </li>
  <li>
   Architect scalable and secure agent-tool interactions (e.g., CRM, analytics APIs, external systems).
  </li>
  <li>
   Ensure AI solutions align with product goals and deliver measurable business value.
  </li>
  <li>
   Design short-term and long-term memory architectures for agents.
  </li>
  <li>
   Build retrieval-augmented generation (RAG) pipelines using vector databases (Pinecone, Weaviate, FAISS).
  </li>
  <li>
   Conduct evaluations of agent performance and optimize algorithms based on analytics and user feedback.
  </li>
  <li>
   Define observability standards for monitoring, debugging, and improving agent behaviors.
  </li>
  <li>
   Produce clear design documentation, specifications, and best practices for AI agent development.
  </li>
  <li>
   Establish AI governance and safety guardrails, ensuring agents act responsibly and in compliance with regulations.
  </li>
  <li>
   Stay current on the latest advancements in LLM, multi-agent, and AI systems research.
  </li>
  <li>
   Mentor engineers on agent orchestration and AI architecture best practices.
  </li>
  <li>
   Act as the subject matter expert and key driver of agentic AI within Lucidya
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   BA/BS or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
  </li>
  <li>
   5+ years of experience in AI/ML development with a proven track record in AI system architecture.
  </li>
  <li>
   Demonstrated experience designing and deploying LLM-driven or multi-agent AI systems.
  </li>
  <li>
   Strong knowledge of AI algorithms, including supervised, unsupervised, and reinforcement learning.
  </li>
  <li>
   Proficiency in programming languages such as Python (Java or equivalent a plus).
  </li>
  <li>
   Hands-on experience with ML frameworks (TensorFlow, PyTorch).
  </li>
  <li>
   Expertise in LLM frameworks (LangChain, LlamaIndex, AutoGen, Semantic Kernel).
  </li>
  <li>
   Experience with natural language processing and modern NLP libraries.
  </li>
  <li>
   Familiarity with cloud platforms (AWS, GCP, Azure) and MLOps tools (MLflow, Weights &amp; Biases, Docker, Kubernetes).
  </li>
  <li>
   Solid grounding in software architecture principles and distributed systems.
  </li>
  <li>
   Strong analytical and problem-solving skills with an innovative mindset.
  </li>
  <li>
   Excellent communication skills, capable of articulating complex ideas clearly and persuasively.
  </li>
  <li>
   Collaborative team player with the ability to lead discussions on AI system design
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Benefits
  <br/>
  <br/>
 </strong>
 <strong>
  <strong>
   Why Join Us?
   <br/>
   <br/>
  </strong>
 </strong>
 This is more than just an engineering role. it's an opportunity to shape the infrastructure and technical future of Lucidya. You'll play a key part in scaling our platform, building a strong engineering culture, and delivering technology that empowers companies across the region and beyond.
 <br/>
 <br/>
 We offer Employee Stock Option Plans (ESOP) to give you ownership in the company's success, along with performance-based bonuses to reward your impact and dedication. As part of a fast-growing team, you'll have the autonomy to lead, innovate, and grow&mdash;both personally and professionally.
</div>


AI Agent Architect (Saudi-based only)

TAWANTECH

<p></p><div><p><b>Role Overview:</b></p><ul>
<li>Provide AI strategy consulting for enterprises and government sectors.
</li><li>Build and lead AI Centers of Excellence (AI Factories).
</li><li>Support organizations in AI strategy implementation and deployment services.
</li><li>Conduct AI readiness assessments and maturity evaluations to identify gaps and opportunities.
</li><li>Collaborate with stakeholders to design scalable AI architectures aligned with business objectives.
</li><li>Guide clients on the adoption of emerging AI technologies and frameworks.
</li></ul><p><b>Key Responsibilities:</b></p><ul>
<li>Define and implement enterprise-level AI strategies.
</li><li>Architect end-to-end AI solutions across multiple domains (ML, NLP, Computer Vision, etc.).
</li><li>Assess AI maturity and deliver tailored roadmaps for digital transformation.
</li><li>Develop governance frameworks and best practices for AI adoption.
</li><li>Partner with business leaders to ensure AI solutions meet performance, security, and compliance standards.
</li><li>Provide technical leadership and mentorship for AI implementation teams.</li>
</ul><p><b>Requirements</b></p><p></p><ul>
<li>Bachelor&rsquo;s degree in Computer Science, Software Engineering, or related field.
</li><li>7+ years of experience in architecture, strategic planning, and AI consultancy.
</li><li>Strong expertise in AI technologies, including:
</li><li><ul><li>Machine Learning (ML)
</li><li>Natural Language Processing (NLP)
</li><li>Deep Learning
</li><li>Robotic Process Automation (RPA)
</li><li>Computer Vision
</li><li>Generative AI &amp; Agentic AI
</li><li>OSINT &amp; GEOINT applications
</li></ul></li><li>Proven track record in designing and deploying enterprise-scale AI solutions.
</li><li>Strong business acumen with the ability to bridge the gap between technical and executive stakeholders.
</li><li>Excellent communication, presentation, and client-facing skills.
</li></ul><p><b>Preferred:</b></p><ul>
<li>Master&rsquo;s degree in AI, Data Science, or a related advanced field.
</li><li>AI-related certifications (e.g., AWS AI/ML Specialty, Google Cloud ML, Microsoft AI Engineer).
</li><li>Experience in regulated industries (healthcare, finance, government).</li></ul></div>

AI Consultant & Architect

Microsoft

<div></div><div><h1 class="jobSectionHeader"><b>Solution Engineering - PowerPlatform</b></h1><div><div><p>
Riyadh, Saudi Arabia</p></div></div><p></p><div><div><div><div><br>
Date posted</div><div><b>
Aug 22, 2025</b></div></div></div><div><div><div>
Job number</div><div><b>
1854845</b></div></div></div><div><div><div>
Work site</div><div><b>
Up to 50% work from home</b></div></div></div><div><div><div>
Travel</div><div><b>
0-25</b><b> </b><b>%</b></div></div></div><div><div><div>
Role type</div><div><b>
Individual Contributor</b></div></div></div><div><div><div>
Profession</div><div><b>
Technology Sales</b></div></div></div><div><div><div>
Discipline</div><div><b>
Solution Engineering</b></div></div></div><div><div><div>
Employment type</div><div><b>
Full-Time</b></div></div></div></div><div></div><div><div><div><h3 class="jobSectionHeader"><b>
Overview</b></h3><div><div>
Do you love technology? Do you want to make companies more successful by applying technology? Do you enjoy helping people to understand technology and trends? If so, then we have the job for you. We are looking for someone with a passion for technology to join the AI Business Solutions team.</div><div></div><div><br>
Microsoft CEO Satya Nadella has defined our mission to empower every individual and every organization on the planet to achieve more. All of us in the AI Business Solutions Team come to work to inspire people and help them to achieve business outcomes and drive significant business success for our customers in the era of AI.</div><div></div><div><br>
The mission of AI Business Solutions is to help our customers digitally transform their businesses to drive new sources of revenue, create new and engaging ways to serve their customers, and to transform the way in which their business runs to drive new levels of profitability for their organization. With the power of AI, our solutions enable customers to leverage data insights, automate processes, personalize experiences, and innovate with agility.</div><div></div><div><br>
As a Solution Engineer, you will work closely with sales teams to understand the customer's needs, goals, and challenges, and showcase how Dynamics 365, Power Platform and AI can help them in their transformation. You will also provide reassurance throughout the sales cycle, ensuring that the proposed solution meets the customer's requirements and expectations. By combining your technical knowledge, communication skills, and customer focus, you will be able to inspire and influence customers to choose Microsoft AI Business Solutions.</div><div></div><div><br>
The mission of AI Business Solutions is to help our customers digitally transform their businesses to drive new sources of revenue, create new and engaging ways to serve their customers, and to transform the way in which their business runs to drive new levels of profitability for their organization. With the power of AI, our solutions enable customers to leverage data insights, automate processes, personalize experiences, and innovate with agility.</div><div></div><div><br>
You will have the chance to develop your career in a dynamic and supportive environment. You will embrace a growth mindset and learn from feedback, coaching, and mentoring. You will be encouraged to share your authentic self and bring your unique perspectives and ideas to the table. You will be part of a diverse and inclusive team that values collaboration, innovation, and customer success, enabling you to accelerate your career growth, develop deep business acumen and develop your selling skills.</div><div></div><div><br>
By aligning Microsoft&rsquo;s AI Business Solutions with each customer&rsquo;s unique industry context, you will demonstrate how our technologies can drive operational efficiency, enhance customer engagement, and unlock new revenue streams. Your ability to translate industry trends into actionable solution strategies will be key to building trust with business and technical decision-makers and securing long-term customer success.</div><div></div><div><br>
In this role you will be the Solution Engineer (pre-sales consultant) for your assigned workload (Power Platform), working with the sales team that consists of Solution Specialist, Customer Success Unit, partners, you will advance pipeline by assisting in qualifying the deal, developing the strategy and inspiring the CxO, business decision makers and Technical decision makers.</div><div></div><div><br>
You are responsible for designing the solution and delivering an industry-aligned demonstration to the customer. Highlighting how advancements in AI can provide benefit to an organization.</div><div>
You will engage partners for co-sell and implementation considerations, engineering to assist with emerging technologies and Customer Success Unit for deal support.</div><div></div><div><br>
We focus on solving the technical proof requirements while highlighting our business value and competitive differentiators and should result in securing the customer&rsquo;s solution design endorsement. Once the solution design is secured, you will support the Solution Specialist in finalizing the customer proposal and assisting with licensing.</div></div></div></div><div><div><h3 class="jobSectionHeader"><b>
Qualifications</b></h3><div><div><b>
Required Qualifications:</b></div><br>
<div></div><ul><li>
7+ years of experience in PreSales and a strong background in development.</li><li>
Technical pre-sales or technical consulting, or related experience.</li></ul><ul><li>
Experience with cloud and hybrid, or on premises infrastructures, architecture designs, migrations, industry standards, and/or technology management.</li></ul><ul><li>
Related experience:</li></ul><ul><li>
Technical pre-sales for business applications and/or SaaS-based company or similar technology.</li></ul><ul><li>
Best practices including but not limited to; discovery, building and crafting solution strategies that differentiate from the competition, value-based selling, identifying, and expanding product opportunities.</li></ul><ul><li>
Ability to drive and influence stakeholders across organizational boundaries through organizational, presentation, envisioning, writing, and verbal communication skills.</li></ul><ul><li>
Proven track record in prioritization and orchestration of resources for complex customer digital transformation engagements.</li></ul><div>
Skills Required:</div><br>
<div></div><ul><li>
Business application solutions</li></ul><ul><li>
Commercial cloud offerings, ideally Microsoft&rsquo;s cloud platform as well as competitive knowledge of other business applications and related ecosystems.</li></ul><ul><li>
Business value selling methodologies and practices that successfully convey the value and business outcomes</li></ul><ul><li>
How to uncover customer&rsquo;s stated and unstated needs and how technology can be leveraged to solve business problems.</li></ul><ul><li>
High level of self-awareness, reflection, and empathy.</li></ul><ul><li>
Ability to skillfully communicate, demonstrate, and prove the value of business applications.</li></ul><ul><li>
Proven collaborator capable of influencing internal and external teams.</li></ul><ul><li>
Excellent presentation and communications skills across various customer stakeholders, e.g., CIO, CFO, CMO, VP of Sales, etc.</li></ul></div></div></div><div></div><div><div><h3 class="jobSectionHeader"><b><br>
Responsibilities</b></h3><div><ul><li>
Advance qualified pipeline revenue by demonstrating solution capabilities, addressing technical proof requirements, and securing the customer&rsquo;s solution design endorsement.</li><li>
Engage with the account team to land solution envisioning sessions and business value assessments.</li><li>
Proactively deliver compelling customer centric solution demonstrations based on technical workload expertise while building Business Decision Maker/CxO/Technical Decision Maker connections.</li><li>
Address solution architecture considerations and competitive objection handling.</li><li>
Assist in formalizing the customer proposal.</li><li>
Collaborate with Partners and Customer Success to align on agreed upon deployment plan and Key Performance Indicators.</li><li>
Lead discovery sessions in each opportunity, yielding output of customer-agreed business challenges and win themes prioritized with business value.</li></ul></div></div></div></div><div></div><div><div><div>
Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.</div></div><div><div><div>
&#60116;</div>Industry leading healthcare</div><div><div>
&#59326;</div>Educational resources</div><div><div>
&#59628;</div>Discounts on products and services</div><div><div>
&#60157;</div>Savings and investments</div><div><div>
&#63586;</div>Maternity and paternity leave</div><div><div>
&#59927;</div>Generous time away</div><div><div>
&#60241;</div>Giving programs</div><div><div>
&#61396;</div>Opportunities to network and connect</div></div></div><div></div><div><div><div>
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.</div></div></div></div><p></p>

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