sales manager

account manager

product manager

marketing manager

sales engineer

ai product specialist

United Imaging Intelligence

<div>
 
 
 Job Description
 
 
 
 We are seeking a motivated AI Product Specialist to join our team. In this role, you will be responsible for understanding our AI products and their market landscape, and supporting sales and marketing initiatives. You will play a crucial role in communicating with customers, providing training, and ensuring successful product deployment.
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 1.
 
 Product Knowledge and Strategy Development
 
 
 <ul>
 <li>
 Gain a comprehensive understanding of our AI products, including their selling points, market positioning, and competitor strategies.
 </li>
 <li>
 Assist in the formulation of market strategies and the creation of promotional materials for designated regions.
 </li>
 </ul>
 
 2.
 
 Market Research
 
 
 <ul>
 <li>
 Conduct thorough market research within assigned regions, focusing on clinical workflows, competitor features, market pricing, and business models.
 </li>
 </ul>
 
 3.
 
 Customer Communication and Sales Support
 
 
 <ul>
 <li>
 Engage with customers to understand their needs and provide tailored product recommendations.
 </li>
 <li>
 Collaborate with the sales team to prepare bid documents for tenders and achieve sales targets.
 </li>
 </ul>
 
 4.
 
 Marketing Activities and Presentations
 
 
 <ul>
 <li>
 Support various marketing initiatives by creating relevant materials based on customer and medical expert requirements.
 </li>
 <li>
 Conduct professional presentations to effectively communicate product benefits.
 </li>
 </ul>
 
 5.
 
 Training and Development
 
 
 <ul>
 <li>
 Provide product training to users, including on-site training sessions.
 </li>
 <li>
 Regularly conduct internal and external training for team members.
 </li>
 </ul>
 
 6.
 
 Product Deployment Coordination
 
 
 <ul>
 <li>
 Coordinate and support the deployment of software products to users, developing and implementing effective deployment plans.
 </li>
 <li>
 Evaluate deployment results and provide timely feedback for continuous improvement.
 </li>
 </ul>
 
 7.
 
 Customer Relationship Management
 
 
 <ul>
 <li>
 Assist in maintaining strong customer relationships by effectively resolving on-site technical issues.
 </li>
 <li>
 Analyze and organize customer needs to promote product usage.
 </li>
 </ul>
 
 8.
 
 User Feedback and Product Iteration
 
 
 <ul>
 <li>
 Collect and relay user issues to the development team to assist in product iteration and enhancement.
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 
 
 1.
 
 Education
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree or higher in Biomedical Engineering, Medical Imaging, Clinical Medicine, Electronic Engineering, Computer Science, or a related field.
 </li>
 </ul>
 
 2.
 
 Experience
 
 
 <ul>
 <li>
 Previous work experience in medical imaging, medical devices, or healthcare information systems is preferred.
 </li>
 </ul>
 
 3.
 
 Skills
 
 
 <ul>
 <li>
 Excellent communication skills with a strong sense of responsibility and self-motivation.
 </li>
 <li>
 Strong logical analysis and problem-solving abilities.
 </li>
 <li>
 Proficiency in using Office software for product and data presentations.
 </li>
 </ul>
 
 4.
 
 Travel
 
 
 <ul>
 <li>
 Willingness and ability to travel as required
 </li>
 </ul>
 
 
</div>

AI Product Specialist

ServiceNow

<div>Company Description 
It all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work. Fast forward to today &mdash; ServiceNow stands as a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500&reg;. Our intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work. But this is just the beginning of our journey. Join us as we pursue our purpose to make the world work better for everyone. 
Job Description 
You will produce new business sales revenue from a SaaS license model. You will accomplish this through account planning, territory planning, researching prospect customers, using business development strategies and completing field-based sales activities within a defined set of prospects, territory or vertical.
What you get to do in this role:<ul><li>
Develop relationships with multiple C-suite personas (e.g., CFO, CIO, COO, CDO) across all product sales</li><li>
Oversee client relationship mapping to the account team, orchestrating an account strategy while leading across a broad virtual team (Solutions Consultants, Solutions Specialist, Success resources, Partners and Marketing, etc.)</li><li>
Be a trusted advisor to your customers by understanding their business and advising on how ServiceNow can help help their IT roadmap</li><li>
Identify the right specialist/ support resources to bring into a deal, at the right time</li></ul> 

Qualifications 
To be successful in this role you have:<ul><li>
Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI&rsquo;s potential impact on the function or industry.</li><li>
Extensive sales experience within software OR solutions sales organization</li><li>
Experience establishing trusted relationships with current and prospective clients and other teams</li><li>
Experience producing new business, negotiate deals, and maintain healthy C-Level relationships</li><li>
Experience achieving sales targets</li><li>
Extensive network and experience of working and partnering with Public Sector organizations</li><li>
The ability to understand the &quot;bigger picture&quot; and our plans around IT</li><li>
Experience promoting a customer success focus in a &quot;win as a team&quot; environment</li><li>
Solid experience selling into Public Sector organisations</li><li>
Fluent in Arabic and English</li></ul>
Not sure if you meet every qualification? We still encourage you to apply! We value inclusivity, welcoming candidates from diverse backgrounds, including non-traditional paths. Unique experiences enrich our team, and the willingness to dream big makes you an exceptional candidate! 
Additional Information 
Work Personas
We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work. Learn more here.
Equal Opportunity Employer
ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements.
Accommodations
We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact globaltalentss@servicenow.com for assistance.
Export Control Regulations
For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities.
From Fortune. &copy;2024 Fortune Media IP Limited. All rights reserved. Used under license.</div>

Sr Enterprise Account Executive, Public Sector

CodeNinja Inc.

<div>
 
 About CodeNinja
 
 
 
 CodeNinja is a next-generation technology consulting firm specialising in AI-powered transformation, enterprise software delivery, and Quality Engineering. Headquartered in the Gulf region and operating across the MENA, South Asia, and global markets, CodeNinja partners with Tier-1 banks, government entities, and large enterprises to design, build, and run mission-critical technology programs.
 
 
 With deep expertise in QA transformation, test automation, DevOps modernisation, and AI/ML engineering, CodeNinja's teams combine global delivery standards with in-market contextual knowledge &mdash; ensuring outcomes that are compliant, scalable, and commercially aligned with client objectives.
 
 
 For the Client's Test Management Enablement &amp; Automation engagement, CodeNinja brings a dedicated 12-person specialist team spanning Test Management, Automation Engineering, AI/ML, and Performance Testing &mdash; all governed under a structured 20-week program delivery framework.
 
 
 
 About The Role
 
 
 
 We are looking for a highly skilled Senior Java Backend Developer with strong expertise in building scalable microservices and APIs. The ideal candidate will have hands-on experience with Spring Boot or Quarkus and API management using IBM API Connect (APIC). Experience in the Open Banking domain will be considered a strong advantage.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Design, develop, and maintain scalable microservices using Spring Boot and/or Quarkus
 </li>
 <li>
 Build, publish, and manage APIs using IBM API Connect (APIC)
 </li>
 <li>
 Ensure high performance, security, and scalability of backend systems and APIs
 </li>
 <li>
 Collaborate with cross-functional teams including product, QA, and DevOps
 </li>
 <li>
 Troubleshoot, debug, and resolve production issues efficiently
 </li>
 <li>
 Follow best practices for clean code, testing, and system design
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 5+ years of experience in Java backend development
 </li>
 <li>
 Strong hands-on experience with Spring Boot or Quarkus
 </li>
 <li>
 Experience working with IBM API Connect (APIC) and RESTful APIs
 </li>
 <li>
 Solid understanding of microservices architecture
 </li>
 <li>
 Familiarity with API security and performance optimization
 
 
 </li>
 </ul>
 
 
 Nice to Have
 
 
 
 
 <ul>
 <li>
 Experience in Open Banking or financial services domain
 </li>
 <li>
 Knowledge of OAuth2, JWT authentication
 </li>
 <li>
 Hands-on experience with Docker, Kubernetes, and cloud platforms (AWS, Azure, or GCP)
 
 
 </li>
 </ul>
 
 
 Why Join Us
 
 
 
 
 <ul>
 <li>
 Opportunity to work on scalable, enterprise-level systems
 </li>
 <li>
 Collaborative and growth-focused environment
 </li>
 <li>
 Exposure to modern technologies and architecture
 
 
 </li>
 </ul>
 
 Disclaimer
 
 
 
 This job description outlines the primary responsibilities and qualifications for the role at the time of posting. It is not exhaustive and may evolve in line with business needs and project requirements. CodeNinja reserves the right to modify role scope as the engagement progresses.
 
 
 All candidates will be subject to standard background verification. Onsite positions require compliance with the client's site access, security, and NDA policies. CodeNinja is an equal opportunity employer and welcomes applications from all qualified individuals regardless of background.
</div>

Senior Java Backend Developer (Spring Boot / Quarkus / API)

CodeNinja

<div>About CodeNinja
CodeNinja is a next-generation technology consulting firm specialising in AI-powered transformation, enterprise software delivery, and Quality Engineering. Headquartered in the Gulf region and operating across the MENA, South Asia, and global markets, CodeNinja partners with Tier-1 banks, government entities, and large enterprises to design, build, and run mission-critical technology programs.
With deep expertise in QA transformation, test automation, DevOps modernisation, and AI/ML engineering, CodeNinja's teams combine global delivery standards with in-market contextual knowledge &mdash; ensuring outcomes that are compliant, scalable, and commercially aligned with client objectives.
For the Client's Test Management Enablement &amp; Automation engagement, CodeNinja brings a dedicated 12-person specialist team spanning Test Management, Automation Engineering, AI/ML, and Performance Testing &mdash; all governed under a structured 20-week program delivery framework.
About the Role
We are looking for a highly skilled Senior Java Backend Developer with strong expertise in building scalable microservices and APIs. The ideal candidate will have hands-on experience with Spring Boot or Quarkus and API management using IBM API Connect (APIC). Experience in the Open Banking domain will be considered a strong advantage.
Key Responsibilities<ul><li>
Design, develop, and maintain scalable microservices using Spring Boot and/or Quarkus</li><li>
Build, publish, and manage APIs using IBM API Connect (APIC)</li><li>
Ensure high performance, security, and scalability of backend systems and APIs</li><li>
Collaborate with cross-functional teams including product, QA, and DevOps</li><li>
Troubleshoot, debug, and resolve production issues efficiently</li><li>
Follow best practices for clean code, testing, and system design</li></ul> 

Requirements 
<ul><li>
5+ years of experience in Java backend development</li><li>
Strong hands-on experience with Spring Boot or Quarkus</li><li>
Experience working with IBM API Connect (APIC) and RESTful APIs</li><li>
Solid understanding of microservices architecture</li><li>
Familiarity with API security and performance optimization</li></ul>
Nice to Have<ul><li>
Experience in Open Banking or financial services domain</li><li>
Knowledge of OAuth2, JWT authentication</li><li>
Hands-on experience with Docker, Kubernetes, and cloud platforms (AWS, Azure, or GCP)</li></ul>
Why Join Us<ul><li>
Opportunity to work on scalable, enterprise-level systems</li><li>
Collaborative and growth-focused environment</li><li>
Exposure to modern technologies and architecture</li></ul>
Disclaimer
This job description outlines the primary responsibilities and qualifications for the role at the time of posting. It is not exhaustive and may evolve in line with business needs and project requirements. CodeNinja reserves the right to modify role scope as the engagement progresses.
All candidates will be subject to standard background verification. Onsite positions require compliance with the client's site access, security, and NDA policies. CodeNinja is an equal opportunity employer and welcomes applications from all qualified individuals regardless of background.</div>

MASTER-WORKS

<div>Master-Works is seeking a dedicated AI Product Manager to spearhead the development and growth of our AI-powered product offerings. The ideal candidate will have a strong background in AI technology and product management, with the ability to align technical possibilities with customer needs and business goals. This role involves coordinating across teams to ensure successful product launches and continuous improvement.
Key Responsibilities:<ul><li>Define and lead the strategy and roadmap for AI-driven products.</li><li>Collaborate with engineering, data science, and design teams to develop features and improvements.</li><li>Conduct competitive and market analysis to identify opportunities and threats.</li><li>Gather and prioritize product requirements based on user feedback and business objectives.</li><li>Oversee the product lifecycle from ideation to launch and iteration.</li><li>Analyze product performance metrics and guide optimization efforts.</li><li>Maintain clear communication among stakeholders and promote a user-focused product culture.</li></ul>
Qualifications:<ul><li>Bachelor&rsquo;s degree in Computer Science, AI, Business, or a related discipline.</li><li>Experience managing AI or Machine Learning products.</li><li>Deep understanding of AI technologies and their applications.</li><li>Skilled in agile project management methodologies.</li><li>Strong analytical abilities and data-driven decision-making skills.</li><li>Excellent communication and teamwork capabilities.</li><li>Experience with user research and product usability testing is preferred.</li><li>Knowledge of AI tools and programming languages is advantageous.</li></ul>
Join Master-Works to contribute to innovative AI products that create meaningful impact for our users and business. 
Requirements 
<ul><li>
Bachelor&rsquo;s degree in Computer Science, AI, Business, or related field</li><li>
Experience managing AI or machine learning product development</li><li>
Proficiency in AI technologies and applications</li><li>
Familiarity with agile project management</li><li>
Strong analytical and data-driven decision-making skills</li><li>
Excellent communication and teamwork skills</li><li>
Preferred experience with user research and usability testing</li><li>
Knowledge of AI tools and programming languages is a plus</li></ul></div>

AI Product Manager

MA'ADEN

<div>Job Purpose
<ul><li><div>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.
</div></li><li><div>The role ensures analytics products are designed, validated, industrialized, governed, and adopted at scale, providing measurable value across mining, processing, operations, and enterprise functions.
</div></li><li><div>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 
</div></li></ul>Key Accountabilities:
1. Lead End-to-End Data Science Delivery
<ul><li>Developing, implementing and maintaining databases and data collection systems
</li><li>Own the full lifecycle of ML/AI initiatives - from problem framing, data exploration, feature engineering, model development, validation, and MLOps handover.
</li><li>Deliver scalable and production-grade models, ensuring alignment with enterprise data governance and AI standards.
</li><li>Performing statistical analysis to understand and interpret data insights
</li><li>Applying data mining techniques to identify patterns, trends, and relationships in large datasets
</li><li>Building predictive models and machine learning algorithms to forecast future outcomes
</li><li>Creating clear data visualizations and reports to communicate findings to stakeholders
</li><li>Working with cross-functional teams to understand business needs and provide data-driven solutions
</li><li>Design and maintain reliable data pipelines and models in partnership with data engineering to ensure data is accurate, timely, and trustworthy for downstream use
</li><li><div>Ensuring data security and compliance with relevant regulations
</div></li><li><div>Drive experimentation, model versioning, automated retraining, and continuous improvement. 
</div></li></ul><div></div>2. Translate Business Needs into AI/Analytics Solutions
<ul><li><div>Establish frameworks and operating models that make data science accessible, scalable, and embedded within business and technical functions
</div></li><li><div>Engage BU/domain stakeholders to identify value creation opportunities and convert them into actionable analytics use cases.
</div></li><li><div>Build value hypotheses, KPIs, success criteria, and solution roadmaps in collaboration with Data &amp; AI leadership and business teams. 
</div></li></ul>3. Industrialize AI/ML Models (ML Ops &amp; Architecture)
<ul><li>Partner with data engineering, data platforms, and cloud/OT architecture teams to embed models into enterprise systems and operational layers.
</li><li>Set standards for production deployment, testing, monitoring, drift handling, and lifecycle governance.
</li><li>Ensure seamless integration of predictive and optimization models into enterprise platforms, control systems, and digital twins
</li>Leverage machine learning, optimization, and computer vision as enabling tools for performance, reliability, and sustainability improvements 
<li>
</li></ul>4. Responsible AI, Quality &amp; Governance
<ul><li>Ensure compliance with Maaden&rsquo;s Responsible AI, data quality, and data governance frameworks.
</li><li>Promote reproducibility, documentation, lineage tracking, and auditability across all data science assets.
</li>Ensure transparency, explainability, and continuous model governance across production and enterprise environments 
<li>
</li></ul>5. Stakeholder Management &amp; Value Realization
<ul><li>Communicate insights, results, risks, and recommendations to decision-makers using compelling narratives and visualization.
</li>Track value realization, adoption metrics, and operational impact to ensure measurable benefit. 
<li>
</li></ul>Minimum Qualification, Experience and Core Competencies:
Minimum Qualifications:
<ul><li>Bachelor&rsquo;s degree in computer science, Data Science, Engineering, Mathematics, Statistics, or related fields. 
</li></ul>Minimum Experience: 
 
 
<ul><li><div>Minimum Experience:
</div></li><li><div>8 &ndash; 10 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
</div></li><li><div>Proven ability to translate business problems into analytic approaches: define hypotheses, design analyses, and synthesize results into clear recommendations.
</div></li><li><div>Strong proficiency with modern ML frameworks and cloud platforms (TensorFlow, PyTorch , Azure, AWS) &ndash; Microsoft AI Factory
</div></li><li><div>Strong technical fluency with modern analytics stacks, data modeling, SQL, and experience partnering effectively with engineering teams. 
</div></li><li> 
Machine Learning &amp; Advanced Analytics
<ul><li>Hands-on experience developing and deploying machine learning models , including time-series forecasting, predictive modeling, and optimization use cases
</li><li>Strong understanding of model performance, validation, stability, and business impact
</li></ul></li><li>Generative AI &amp; AI Agents
<ul><li>Practical experience with Generative AI solutions , including copilots, intelligent automation, and agent-based workflows
</li><li>Ability to embed GenAI capabilities into enterprise processes to improve decision-making and operational efficiency
 
 
Good to Have Capabilities
</li></ul></li><li>Data Engineering (IT + OT)
<ul><li>Experience designing and maintaining data pipelines across IT and OT environments
</li><li>Exposure to sensor data, streaming / real-time data processing , and industrial data sources
</li><li>Ability to collaborate with data engineering teams to ensure reliable, timely, and trusted data flows
</li></ul></li><li>MLOps / AgentOps
<ul><li>Experience in model deployment and lifecycle management , including:
<ul><li>Transition from model development to production and scale
</li><li>Monitoring, retraining, versioning, and drift management
</li></ul></li><li>Familiarity with automation and operationalization of ML/AI workloads
 
 
Preferred Experience &amp; Platforms
</li></ul></li><li>Cloud &amp; Analytics Platforms
<ul><li>Experience working with enterprise cloud platforms, preferably:
<ul><li>Microsoft Azure Data Platform
</li><li>Databricks AI Platform
</li><li>Microsoft AI Foundry / Microsoft AI Factory
</li></ul></li>Understanding of cloud-native architectures for scalable analytics and AI solutions 
<li>
</li></ul></li></ul><div></div>Core Competencies:
<ul><li>Model Accuracy &amp; Reliability: Performance, drift stability, and operational uptime.
</li><li>Adoption &amp; Business Impact: Value realized, user adoption, integration success.
</li><li>Delivery Velocity: Timeliness of development cycles and deployment readiness.
</li><li>Compliance &amp; Quality: Alignment with Responsible AI, governance, and documentation standards.</li></ul></div>

Principal Specialist, Data Science & Analytics

MOZN

<div>
 
 About Mozn
 
 
 
 MOZN is a leading Enterprise AI company enabling organizations to make informed decisions in two critical domains: Financial Crime Prevention and Enterprise Knowledge Intelligence.
 
 
 We&rsquo;re a diverse, collaborative team of innovators united by a shared purpose: to build AI that delivers tangible business value, builds trust, and empowers people and organizations with augmented intelligence. Our culture is built on the relentless pursuit of excellence and meaningful impact.
 
 
 If you&rsquo;re passionate about working alongside exceptional talent on world-class AI, and you want the autonomy and runway to do the best work of your career, join us in shaping the future of intelligent enterprises.
 
 
 
 About The Role
 
 
 
 We are seeking a high-performing Staff Product Manager to lead product management efforts for OSOS, with a focus on language-based solutions. The Staff Product Manager will be responsible for shaping the product strategy, driving the feature roadmap, and ensuring commercial success to deliver significant value for our customers. The ideal candidate should have a passion for technology, a deep understanding of organizational challenges, and proven experience in building and scaling B2B and SaaS-based products.
 
 
 
 What You'll Do
 
 
 
 <ul>
 <li>
 Drive product strategy for language-based product lines, continuously validating assumptions and guiding products toward successful launches and commercialization.
 </li>
 <li>
 Engage regularly with customers to capture their needs, pain points, and feedback, integrating this information into the product strategy and roadmap.
 </li>
 <li>
 Develop and manage the product feature roadmap, collaborating with cross-functional teams to ensure alignment with customer needs and business objectives.
 </li>
 <li>
 Support commercialization efforts, taking products from concept to market readiness, including pricing, packaging, and positioning.
 </li>
 <li>
 Participate in go-to-market (GTM) strategies, partnering with marketing, sales, and customer success teams to create impactful launch campaigns that drive customer adoption.
 </li>
 <li>
 Manage post-launch activities, such as feature iteration, customer feedback loops, and performance analysis, ensuring the product's ongoing success and alignment with user needs.
 </li>
 <li>
 Develop and maintain OKRs and product metrics to measure performance, adoption, and market impact, making data-driven adjustments as needed.
 </li>
 <li>
 Collaborate closely with product marketing to create compelling messaging, content, and training materials for internal teams and customers, enabling effective product communication.
 </li>
 <li>
 Optimize product shelf-life by identifying areas for product enhancements, improvements, or potential retirement, keeping the product portfolio dynamic and relevant.
 </li>
 <li>
 Mentor and support junior product team members, fostering their growth and alignment with the product vision and strategy.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 BS/MS in a STEM or Business field from a leading institution, or in a related field.
 </li>
 <li>
 6+ years of product management experience, with a preference for candidates from top technology firms.
 </li>
 <li>
 Demonstrated expertise in crafting product strategy, handling complex trade-offs, and guiding products from conception to commercialization.
 </li>
 <li>
 Proven experience in developing and scaling B2B and SaaS-based products, especially language-based solutions or AI-driven products.
 </li>
 <li>
 Strong entrepreneurial and leadership skills with experience leading and mentoring product teams.
 </li>
 <li>
 Familiarity with GTM strategies and post-launch optimization.
 </li>
 <li>
 Eagerness to work on products with global impact and potential.
 </li>
 <li>
 People management experience is a plus.
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 
 
 Why Mozn?
 
 
 
 
 <ul>
 <li>
 You will be at the forefront of an exciting time for the Middle East, joining a high-growth rocket-ship in an exciting space.
 </li>
 <li>
 You will be given a lot of responsibility and trust. We believe that the best results come when the people responsible for a function are given the freedom to do what they think is best.
 </li>
 <li>
 The fundamentals will be taken care of: competitive compensation, top-tier health insurance, and an enabling culture so that you can focus on what you do best
 </li>
 <li>
 You will enjoy a fun and dynamic workplace working alongside some of the greatest minds in AI.
 </li>
 <li>
 We believe strength lies in difference, embracing all for who they are and empowered to be the best version of themselves.
 </li>
 </ul>
</div>

Staff Product Manager

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829 ai product specialist jobs In Riyadh

AI Product Specialist

Sr Enterprise Account Executive, Public Sector

Senior Java Backend Developer (Spring Boot / Quarkus / API)

Senior Java Backend Developer (Spring Boot / Quarkus / API)

AI Product Manager

Principal Specialist, Data Science & Analytics

Staff Product Manager