business development lead

team leader

lead electrical engineer

lead senior legal counsel

learning assistant

ai lead

Avanade

Come join us
 As a AI Lead, you are responsible for leading people, project, and program management across an entire AI system lifecycle. From requirements gathering through implementation, you will work closely with both internal Avanade employees and client stakeholders to ensure on-time, high-quality project delivery. You will also be responsible for the identification and implementation of continuous improvement initiatives, processes, and tools supporting enhancements in productivity, efficiency, issue resolution, and cost. Together we do what matters.
 Skills and experiences
 <div><ul><li>Education: Bachelor&rsquo;s degree in Computer Science, Engineering, Business, or related field; Master&rsquo;s degree (MBA or MSc) preferred.
</li><li>Experience: 8&ndash;12 years in consulting, AI, or automation leadership, with at least 3 years in client-facing delivery, practice-building, or business development roles .
</li><li>Fluency in English is required; Arabic is an asset.</li></ul></div>
 About you
 <div><ul><li>Demonstrated ability to build and scale practices : setting strategy, creating offerings, recruiting, and growing market share.
</li><li>Proven success in hiring, coaching, and developing top talent &mdash;shaping high-performing teams and fostering career growth.
</li><li>Proven track record of end-to-end solution delivery : defining client problems, designing architectures, and ensuring successful deployment.
</li><li>Hands-on expertise with Azure AI Foundry, Copilot Studio, Power Platform, Python, C#, Semantic Kernel, LangChain, multi-agent architectures, agentic RAG, and MCP servers .
</li><li>Ability to bridge business strategy and technical execution , engaging both C-suite stakeholders and delivery teams.
</li><li>Strong commercial acumen, including pre-sales leadership, RFP response, and business case development .</li></ul></div>
 What you'll do
 <div>Build and Scale the Agentic AI Practice
 
Establish and expand the Agentic AI and Intelligent Automation (IA) practice in Dubai and the GCC&mdash;defining the vision, shaping offerings, building delivery capability, and driving market presence.
Lead Enterprise-Scale Agentic AI Programs
 
Deliver complex multi-agent, cross-platform solutions using Azure AI Foundry, Copilot Studio, Power Platform, and Dynamics 365 , with a strong emphasis on scalability, accuracy, and business value.
Drive Adoption of Agentic AI Frameworks
 
Embed multi-agent architectures, agentic RAG, and MCP servers into client ecosystems&mdash;accelerating automation, insight generation, and decision-making workflows.
Operationalize AI at Scale
 
Implement governance and orchestration frameworks to safely deploy, monitor, and scale AI assistants and Copilot agents across different domains including financial services, healthcare, and government services.
Own Agentic AI Business Development
 
Shape and lead pre-sales activities, RFP responses, and client solutioning , ensuring business development teams are equipped with delivery-led credibility, accelerators, and technical proof points .
Hire, Coach, and Develop Talent
 
Recruit top talent across consulting, engineering, and delivery roles. Mentor, upskill, and grow high-performing teams , embedding a culture of continuous learning and innovation in agentic AI and automation.
Shape AI Strategy with Microsoft Ecosystem
 
Collaborate with senior leaders and stakeholders to align program strategies with Microsoft&rsquo;s evolving stack &mdash;integrating Copilot, Semantic Kernel, LangChain, Fabric, and cloud-native services into enterprise transformation agendas.
Strengthen Governance and Responsible AI
 
Define and implement delivery methodologies, controls, and responsible AI practices to ensure compliance, data security, and ethical AI adoption.
 Build Internal Capability and Accelerators
Develop reusable agentic AI assets, accelerators, and training programs to scale delivery excellence on Azure AI, Copilot Studio, and the Power Platform.
Represent the Firm in Microsoft and Industry Circles
 
Actively engage in Microsoft partner events, industry conferences, and thought leadership forums to showcase innovation and build market authority in Dubai and beyond.
Promote Cross-Practice Synergy
 
Drive collaboration across Data &amp; AI, Intelligent Automation, Business Apps, and Cloud Innovation to deliver integrated, multi-domain client solutions.</div><div></div>
 Enjoy your career
 Some of the best things about working at Avanade: Pathway to work on industry leading programs of work Opportunity to work with global customers A people-first culture that supports innovation to push teams in new directions Quickly turn your ideas to human impact by cultivating a team that will help clients unlock what&rsquo;s next Real-time access to technical and skilled resources globally
 A great place to work
 As you bring your skills and abilities to Avanade, you&rsquo;ll get distinctive experiences, limitless learning, and ambitious growth in return. As we continue to build our diverse and inclusive culture, we become even more innovative and creative, helping us better serve our clients and communities. You&rsquo;ll join a community of smart, supportive collaborators to lift, mentor, and guide you, and to lean on your expertise. You get a company purpose-built for business-critical, leading-edge technology solutions, committed to improving the way humans work, interact, and live. It&rsquo;s all here, so take a closer look! Together we do what matters. We work hard to provide an inclusive, diverse culture with a deep sense of belonging for all our employees. Visit our Inclusion &amp; Diversity page. Create a future for our people that focuses on: Expanding your thinking Experimenting courageously Learning and pivoting Inspire greatness in our people by Empowering every voice Encouraging boldness Celebrating progress Accelerate the impact of our people by Amazing the client Prioritizing what matters Acting as one

AI Lead

Fly Dubai

Leads the development and implementation of machine learning models, algorithms, and AI systems and explores innovative approaches to solving business problems using AI technologies.
Drives continuous process improvement and optimization. by staying informed about advancements in data engineering and AI, recommending new tools and technologies.
Builds, mentors, and leads a team of data and machine learning engineers, and AI specialists by providing guidance, support, and professional development opportunities to team members.
Develops and executes the organization s data science and AI vision, ensuring alignment with business objectives and measurable outcomes.
Identifies, designs, and implements AI and machine learning solutions that enhance products, services, and operational efficiency.
Establishes frameworks for responsible, explainable, and bias-free AI use in compliance with regulations and ethical standards.
Partners with product owners, business leaders, and data engineering teams to ensure AI initiatives are integrated, scalable, and business-driven.
Monitors advances in AI research, tools, and technologies, proactively applying them to maintain competitive advantage.
Defines KPIs and track ROI for AI initiatives to ensure value delivery and continuous improvement.
Acts as a data translator, bridging technical and business domains to convert complex challenges into actionable AI-driven outcomes.

Senior Manager - Data Science & AI

PwC Middle East

We are seeking a GenAI Senior Solution Architect to lead the design, development, and deployment of Generative AI-powered applications. This role will focus on architecting scalable AI solutions for cloud-based and hybrid environments, defining AI adoption strategies and best practices, and collaborating with cross-functional teams to drive AI-driven digital transformation. You will play a pivotal role in integrating cutting-edge AI models into enterprise and government systems, ensuring seamless integration into enterprise systems.This role requires expertise in AI architecture, model hosting, MLOps, and full-stack AI application development, with a focus on security, scalability, and performance.Roles And Responsibilities:<ul><li>Architect and implement Generative AI (GenAI) applications cross functionally and across industries such as government, banking, real estate, and telecommunications.</li><li>Define AI adoption strategies and design scalable AI architectures for both cloud-based and hybrid environments.</li><li>Develop AI-driven automation solutions leveraging CoPilot Studio, Power Automate, and other orchestration tools.</li><li>Build and optimize GenAI frameworks using Retrieval-Augmented Generation (RAG), prompt engineering, and LLM integration.</li><li>Deploy offline and cloud-based LLMs using Nvidia Triton, HuggingFace TGI, vLLM, LiteLLM, and other inference layers.</li><li>Lead full-stack AI application development, ensuring high availability, scalability, and security.</li><li>Collaborate with stakeholders to translate business requirements into AI-enabled solutions.</li><li>Implement MLOps best practices, ensuring efficient model training, deployment, and monitoring.</li><li>Manage CI/CD pipelines, containerization (Docker), and DevOps for AI applications.</li><li>Ensure compliance with AI governance, privacy, and security standards in AI Implementations.</li><li>Provide mentorship and technical leadership to AI engineering teams.</li></ul>Required Competencies:<ul><li>Ability to lead cross-country/regional engineering teams.</li><li>Strong business acumen, with the ability to translate business needs into scalable and cost effective AI-enables solutions.</li><li>Experience in AI solution lifecycle management from ideation assessment to production deployment.</li><li>Experience in mitigating AI risks following AI governance, ethics, security and compliance standards.</li><li>Strong problem-solving skills and ability to work in a fast-paced environment.</li></ul>Required Skills:<ul><li>AI expertise: Building RAG models, OpenAI agents, Prompt Engineering, Copilot Studio, Python FastAPI Apps, LangChain, CrewAI</li><li>Proven track record of deploying AI solutions at an enterprise level.</li><li>Ability to build applications and expertise in different technology stacks.</li><li>Expertise in Python, FastAPI, Langchain, Langfuse, LlamaIndex.</li><li>Strong experience with AI model hosting, fine-tuning, and API integration.</li><li>Hands-on experience with Cloud Platforms (Azure, AWS, GCP) for AI/ML workloads.</li><li>Proficiency in MLOps, AI Infrastructure Engineering, and Data Engineering.</li><li>Experience in containerization, CI/CD pipelines, and DevOps practices.</li><li>Deep knowledge in LLM architecture, RAG, and inference optimization.</li><li>Knowledge of data privacy, security and ethical AI governance frameworks.</li><li>Understanding of AI governance frameworks and best practices for ethical AI.</li><li>Experience with full-stack development for AI applications if preferable.</li><li>Strong problem-solving skills and ability to work in a fast-paced environment.</li><li>Experience working with government entities and large enterprises is a plus.</li></ul>

GenAI Solution Architect

DarGlobal

<div>
 
 We are seeking an innovative
 
 AI Engineer / Data Scientist
 
 to lead the development and implementation of
 
 AI-driven tools and systems across the enterprise
 
 . The ideal candidate will combine deep technical expertise in
 
 machine learning, large language models (LLMs), and data analytics
 
 with a strategic understanding of how to embed AI capabilities within business processes.
 
 
 This role will drive the adoption of AI technologies across departments&mdash;enabling automation, improving decision-making, and fostering a data-first culture throughout the organization.
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 Enterprise AI Implementation
 
 
 <ul>
 <li>
 Lead the design, development, and deployment of
 
 AI and automation tools
 
 across multiple business functions (marketing, sales, finance, operations, and customer experience).
 </li>
 <li>
 Collaborate with stakeholders to identify
 
 high-impact AI opportunities
 
 and develop scalable solutions.
 </li>
 <li>
 Build and manage
 
 AI platforms and internal tools
 
 that enhance productivity and decision-making across teams.
 </li>
 <li>
 Integrate AI capabilities (e.g., LLM-based assistants, chatbots, predictive analytics, generative content tools) into existing enterprise systems such as
 
 CRM, ERP, and data platforms
 
 .
 </li>
 <li>
 Establish
 
 best practices for AI governance, model lifecycle management, and ethical AI usage
 
 across the organization.
 </li>
 </ul>
 
 
 AI &amp; Machine Learning Development
 
 
 <ul>
 <li>
 Research, build, and deploy models for
 
 predictive analytics, natural language processing (NLP), computer vision, and recommendation systems
 
 .
 </li>
 <li>
 Develop APIs and microservices to operationalize ML models within production environments.
 </li>
 <li>
 Ensure solutions are
 
 scalable, secure, and compliant
 
 with enterprise data policies.
 </li>
 </ul>
 
 
 Data Science &amp; Analytics
 
 
 <ul>
 <li>
 Lead efforts in
 
 data collection, transformation, and feature engineering
 
 to support analytical models.
 </li>
 <li>
 Create
 
 dashboards and AI-powered insights tools
 
 to enable real-time decision support for leadership teams.
 </li>
 <li>
 Work with data engineering teams to maintain
 
 clean, consistent, and high-quality data pipelines
 
 .
 </li>
 </ul>
 
 
 Cross-Functional Collaboration
 
 
 <ul>
 <li>
 Partner with IT, digital transformation, and business units to align AI initiatives with enterprise goals.
 </li>
 <li>
 Conduct workshops and training to
 
 build AI literacy
 
 and encourage adoption across non-technical departments.
 </li>
 <li>
 Communicate insights and technical findings clearly to stakeholders at all levels.
 </li>
 </ul>
 
 
 Research &amp; Innovation
 
 
 <ul>
 <li>
 Continuously evaluate and implement the latest
 
 AI and automation platforms
 
 (e.g., OpenAI, Anthropic, Azure AI, Hugging Face, DataRobot).
 </li>
 <li>
 Explore opportunities for
 
 AI-driven business process reengineering
 
 and new product innovation.
 </li>
 <li>
 Stay ahead of trends in
 
 LLMs, multimodal AI, generative AI, and cognitive automation
 
 .
 </li>
 </ul>
 
 
 
 
 
 Education
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s in
 
 Computer Science, Artificial Intelligence, Data Science, or related fields
 
 .
 </li>
 <li>
 PhD preferred but not required.
 </li>
 </ul>
 
 
 
 
 
 Technical Skills
 
 
 <ul>
 <li>
 Strong proficiency in
 
 Python
 
 (pandas, NumPy, scikit-learn, PyTorch, TensorFlow).
 </li>
 <li>
 Experience implementing enterprise AI solutions using
 
 OpenAI API, LangChain, Azure AI, Hugging Face, or similar frameworks
 
 .
 </li>
 <li>
 Expertise in
 
 machine learning deployment
 
 and
 
 MLOps
 
 (Docker, MLflow, CI/CD pipelines).
 </li>
 <li>
 Experience with
 
 cloud AI environments
 
 (AWS SageMaker, Azure ML, Google Vertex AI).
 </li>
 <li>
 Familiarity with
 
 data platforms
 
 (Snowflake, Databricks, Power BI, BigQuery).
 </li>
 <li>
 Understanding of
 
 AI ethics, security, and compliance frameworks
 
 .
 </li>
 </ul>
 
 
</div>

AI Engineer / Data Scientist

Talent Connect Group (TCG)

<div>
 
 🚀
 
 Hiring: Lead AI Developer &ndash; UAE
 
 🔥
 
 
 
 
 
 🇮🇳***Relocation from India***
 
 
 
 
 
 Join us at the forefront of
 
 AI innovation in the public sector.
 
 
 
 
 
 
 Our clients are building the foundational AI systems powering the next generation of
 
 intelligent government services
 
 across the UAE.
 
 
 
 
 
 As
 
 Lead AI Developer
 
 , you&rsquo;ll be the technical architect behind our AI infrastructure &mdash; designing, developing, and scaling core machine learning and GenAI platforms
 
 from the ground up
 
 .
 
 
 
 
 
 📍
 
 Location:
 
 Dubai
 
 
 🧠
 
 Focus:
 
 AI Infrastructure for Government Services
 
 
 💰
 
 Salary:
 
 30,000 &ndash; 35,000 AED/month
 
 
 🌍
 
 Impact:
 
 Shape the UAE&rsquo;s AI transformation
 
 
 
 
 
 💼 What You&rsquo;ll Build
 
 <ul>
 <li>
 Architect and implement the
 
 core AI/ML foundations
 
 &mdash; from data pipelines to deployment.
 </li>
 <li>
 Design and deploy
 
 LLMs, diffusion models, and advanced ML algorithms
 
 for real-world applications.
 </li>
 <li>
 Build
 
 end-to-end AI systems
 
 using frameworks like
 
 LangChain, MLflow, Kubeflow, and TensorRT
 
 .
 </li>
 <li>
 Integrate
 
 secure and scalable AI pipelines
 
 for large, sensitive government datasets.
 </li>
 <li>
 Collaborate with product, data science, and security teams to bring
 
 AI prototypes to production
 
 .
 </li>
 </ul>
 
 
 
 
 🧠 What You Bring
 
 <ul>
 <li>
 4&ndash;6+ years of hands-on AI/ML or software engineering experience building products from scratch.
 </li>
 <li>
 Expert in
 
 Python, TensorFlow, PyTorch, and Hugging Face ecosystems.
 
 </li>
 <li>
 Proven experience in
 
 architecting GenAI solutions
 
 and optimizing for cloud (Azure/GCP).
 </li>
 <li>
 Familiarity with
 
 vector DBs, MLOps tools, and containerized microservices (Docker/K8s)
 
 .
 </li>
 <li>
 Strong problem-solving mindset and the ability to
 
 set the technical direction for AI initiatives
 
 .
 </li>
 </ul>
 
 
 
 
 🌟 Nice to Have
 
 <ul>
 <li>
 Experience with
 
 AIOps
 
 ,
 
 open-source projects
 
 , or
 
 UAE public sector deployments.
 
 </li>
 <li>
 Background in scaling AI applications securely in production environments
 </li>
 </ul>
 
 
 
 
 If you are interested please get in touch ASAP with your CV.
 
 
 
 
 
 
 
 
 Owen.Moir-Holland@tconnectgroup.com
 
</div>

Lead AI Developer

Accenture Middle East

Key Responsibilities Consulting &amp; Strategy <ul> <li>Partner with clients to understand their business goals, particularly in marketing, customer experience, and digital transformation.</li> <li>Translate marketing challenges into data and AI solutions (e.g., segmentation, recommendation engines, predictive analytics, customer lifetime value models).</li> <li>Develop roadmaps for implementing AI-driven marketing solutions that improve personalization, targeting, and campaign performance.</li> </ul> Data &amp; AI Solutioning <ul> <li>Design, build, and implement AI/ML models for marketing applications (e.g., churn prediction, lead scoring, NLP for sentiment analysis, dynamic pricing).</li> <li>Work with structured and unstructured data to generate insights that inform brand, product, and digital strategies.</li> <li>Assess and integrate marketing technology platforms (CRM, CDP, marketing automation tools) with data pipelines and AI solutions.</li> <li>Explore and apply Agentic AI frameworks to enable autonomous decision-making, workflow orchestration, and adaptive personalization in marketing use cases</li> </ul> Marketing Analytics &amp; Insights <ul> <li>Deliver advanced marketing analytics, including campaign effectiveness, attribution modeling, and customer journey analysis.</li> <li>Build dashboards and visualizations that communicate data-driven stories to marketing and leadership teams.</li> <li>Provide actionable insights that drive customer acquisition, retention, and engagement.</li> </ul> Client Engagement &amp; Enablement <ul> <li>Act as a trusted advisor to marketing and business stakeholders.</li> <li>Lead workshops and training sessions on AI in marketing (generative AI, personalization, predictive modeling).</li> <li>Stay ahead of AI, data, and marketing technology trends to guide clients on emerging opportunities.</li> </ul> <ul> <li>4+ years of work experience.</li> <li>Good knowledge of AI/ML techniques (classification, clustering, NLP, recommendation engines, generative AI).</li> <li>Proficiency in data analytics tools and programming (Python, R, SQL, Power BI/Tableau).</li> <li>Experience with marketing technology platforms (HubSpot, Salesforce Marketing Cloud, Adobe Experience Cloud, Google Analytics).</li> <li>Experience in building Agentic AI systems, conversational AI / AI bots , Prompting </li> <li>Familiarity with cloud ecosystems (Azure, AWS, GCP) for AI deployment.</li> </ul> Professional Skills <ul> <li>Excellent communication and presentation skills; able to simplify complex data concepts for non-technical stakeholders.</li> <li>Strong client-facing consulting experience.</li> <li>Ability to work cross-functionally and manage multiple projects simultaneously.</li> </ul>

Data & AI Consultant

XenonStack Moments

<div>
 
 About Us
 
 
 
 XenonStack is the fastest-growing
 
 Data and AI Foundry for Agentic Systems
 
 , enabling enterprises to achieve real-time, intelligent business insights. We deliver innovation at scale through:
 
 
 <ul>
 <li>
 Akira AI &ndash; Building Agentic Systems for AI Agents
 </li>
 <li>
 XenonStack Vision AI &ndash; Vision AI Platform
 </li>
 <li>
 NexaStack AI &ndash; Inference AI Infrastructure for Agentic Systems
 
 
 </li>
 </ul>
 We are seeking a
 
 Manager &ndash; Enterprise Sales
 
 to lead a high-impact team focused on acquiring, expanding, and retaining
 
 strategic enterprise customers
 
 across regulated and high-growth industries.
 
 
 
 THE OPPORTUNITY
 
 
 
 
 As Manager &ndash; Enterprise Sales, You Will
 
 
 
 <ul>
 <li>
 Lead end-to-end sales execution for marquee enterprise accounts.
 </li>
 <li>
 Personally own and close complex, multi-stakeholder deals while coaching your team.
 </li>
 <li>
 Partner closely with Solution Architects, Forward Deployed Engineers, and AI Interaction Engineers to deliver value-led, agentic AI solutions.
 
 
 </li>
 </ul>
 This is a
 
 player&ndash;coach role
 
 for a sales leader who thrives in long-cycle enterprise engagements and high-touch customer relationships.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Hit and Exceed Enterprise Sales Targets
 </li>
 <li>
 Deliver team and individual ARR and TCV quotas.
 </li>
 <li>
 Maintain precision in forecasting and pipeline health.
 </li>
 <li>
 Lead &amp; Develop Enterprise Sales Team
 </li>
 <li>
 Manage and mentor 3&ndash;6 enterprise AEs.
 </li>
 <li>
 Run weekly strategy sessions, account reviews, and deal coaching.
 </li>
 <li>
 Drive Complex Enterprise Deals
 </li>
 <li>
 Navigate C-level relationships, procurement, and legal.
 </li>
 <li>
 Structure multi-year, value-based agreements to increase ACV.
 </li>
 <li>
 Build Land-and-Expand Strategies
 </li>
 <li>
 Establish account plans to expand usage across multiple BUs.
 </li>
 <li>
 Collaborate with Customer Success for renewal and expansion execution.
 </li>
 <li>
 Partner with Ecosystem Allies
 </li>
 <li>
 Co-sell with GSIs, hyperscalers, and industry ISVs.
 </li>
 <li>
 Drive pipeline through partner-led opportunities.
 </li>
 <li>
 Ensure AI-Driven Sales Execution
 </li>
 <li>
 Leverage AI agents for lead intelligence, competitor tracking, and ABM targeting.
 </li>
 <li>
 Implement data-driven outbound sequences and account-based campaigns.
 
 
 </li>
 </ul>
 
 What Success Looks Like
 
 
 
 <ul>
 <li>
 Consistently exceeding enterprise sales quotas.
 </li>
 <li>
 High win rates in competitive enterprise environments.
 </li>
 <li>
 Growth in ACV and expansion revenue from existing accounts.
 </li>
 <li>
 Strong partner-sourced contribution to enterprise pipeline.
 
 
 </li>
 </ul>
 
 Must-Have
 
 
 
 
 SKILLS &amp; EXPERIENCE
 
 
 
 <ul>
 <li>
 7&ndash;10 years in B2B enterprise sales, with 2&ndash;4 years in a leadership or player&ndash;coach role.
 </li>
 <li>
 Proven success closing $500K&ndash;$5M+ TCV enterprise deals.
 </li>
 <li>
 Deep understanding of enterprise buying cycles and value-based selling.
 </li>
 <li>
 Experience in account-based targeting and outbound-led growth.
 </li>
 <li>
 Proficiency with CRM platforms and sales automation tools.
 
 
 </li>
 </ul>
 
 Good-to-Have
 
 
 
 <ul>
 <li>
 Experience selling AI, data infrastructure, or high-complexity SaaS to regulated industries (BFSI, GRC, SOC).
 </li>
 <li>
 Familiarity with MEDDIC, Challenger Sale, or similar methodologies.
 </li>
 <li>
 Exposure to AI/ML platforms, multi-agent orchestration, or advanced analytics.
 
 
 </li>
 </ul>
 
 XENONSTACK CULTURE &ndash; JOIN US &amp; MAKE AN IMPACT!
 
 
 
 At XenonStack, we believe in
 
 shaping the future of intelligent systems
 
 . We foster a
 
 culture of cultivation
 
 built on bold, human-centric leadership principles, where
 
 deep work, simplicity, and adoption
 
 define everything we do.
 
 
 
 Our Cultural Values
 
 
 
 <ul>
 <li>
 Agency &ndash; Be self-directed and proactive.
 </li>
 <li>
 Taste &ndash; Sweat the details and build with precision.
 </li>
 <li>
 Ownership &ndash; Take responsibility for outcomes.
 </li>
 <li>
 Mastery &ndash; Commit to continuous learning and growth.
 </li>
 <li>
 Impatience &ndash; Move fast and embrace progress.
 </li>
 <li>
 Customer Obsession &ndash; Always put the customer first.
 
 
 </li>
 </ul>
 
 Our Product Philosophy
 
 
 
 <ul>
 <li>
 Obsessed with Adoption &ndash; Making robotics + AI accessible and enterprise-ready.
 </li>
 <li>
 Obsessed with Simplicity &ndash; Turning complex robotics challenges into intuitive, reliable systems.
 
 
 </li>
 </ul>
 Be part of our mission to
 
 reimagine embodied AI agents
 
 and accelerate the world&rsquo;s transition to
 
 AI + Human Intelligence
 
 &mdash; and drive the demand that powers the future.
 
 
 
 WHY SHOULD YOU JOIN US?
 
 
 
 <ul>
 <li>
 Agentic AI Product Company
 
 
 </li>
 </ul>
 Build
 
 enterprise-grade AI platforms
 
 powered by Machine Learning, Generative AI, and Agentic Systems. From Vision AI to Inference Infrastructure, you&rsquo;ll shape products that redefine enterprise AI adoption.
 
 
 <ul>
 <li>
 A Fast-Growing Category Leader
 
 
 </li>
 </ul>
 XenonStack is one of the
 
 fastest-growing Data and AI Foundries
 
 , setting benchmarks in how businesses deploy and scale AI agents with platforms like
 
 Akira AI, NexaStack, and Vision AI
 
 .
 
 
 <ul>
 <li>
 Career Mobility &amp; Growth
 
 
 </li>
 </ul>
 Move between roles and functions &mdash; from
 
 AI Engineering to Product Marketing or AgentOps
 
 &mdash; and craft a career that grows with your aspirations.
 
 
 <ul>
 <li>
 Global Exposure
 
 
 </li>
 </ul>
 Work with
 
 Fortune 500 enterprises, BFSI leaders, and global innovators
 
 , delivering real-world impact across industries and geographies.
 
 
 <ul>
 <li>
 Create Real Impact
 
 
 </li>
 </ul>
 Contribute from day one. Even junior team members work on
 
 mission-critical product features
 
 that go into production.
 
 
 <ul>
 <li>
 Culture of Excellence
 
 
 </li>
 </ul>
 Our values &mdash;
 
 Agency, Taste, Ownership, Mastery, Impatience, and Customer Obsession
 
 &mdash; empower you to push boundaries and innovate fearlessly.
 
 
 <ul>
 <li>
 Responsible AI First
 
 
 </li>
 </ul>
 Join a company that prioritizes
 
 trustworthy, explainable, and compliant AI
 
 . You&rsquo;ll contribute to
 
 Responsible AI frameworks
 
 ensuring our agentic systems are not just powerful, but also ethical and reliable.
</div>

Manager – Enterprise Sales

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