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Datamatics Technologies

<div>
 Job Description: AI Product &amp; Business Translation Lead
 
 
 Job Title:
 
 AI Product &amp; Business Translation Lead
 
 
 Experience:
 
 9&ndash;12+ Years
 
 
 Location:&nbsp;
 
 
 
 Riyadh - Onsite
 
 
 
 
 Employment Type:
 
 Full-Time
 
 Job Overview
 
 We are seeking an experienced
 
 AI Product &amp; Business Translation Lead
 
 with
 
 9&ndash;12+ years of experience
 
 to bridge the gap between business objectives, product strategy, and artificial intelligence capabilities. The ideal candidate will have strong expertise in defining AI use cases, developing AI-driven product strategies, engaging executive stakeholders, and driving successful adoption of AI solutions across organizations.
 
 
 This role requires a strong understanding of business transformation, AI capabilities, product lifecycle management, and the ability to translate complex AI concepts into measurable business outcomes.
 
 Key Responsibilities
 <ul>
 <li>
 Define and prioritize AI use cases aligned with business objectives and strategic goals
 </li>
 <li>
 Develop AI product strategies, roadmaps, and adoption frameworks
 </li>
 <li>
 Collaborate with business leaders, product teams, data scientists, and engineering teams to identify AI opportunities
 </li>
 <li>
 Translate business requirements into actionable AI solutions and product initiatives
 </li>
 <li>
 Evaluate AI opportunities based on business value, feasibility, scalability, and impact
 </li>
 <li>
 Drive stakeholder engagement across business and technology teams
 </li>
 <li>
 Support AI adoption initiatives by creating awareness, enablement plans, and change management strategies
 </li>
 <li>
 Define success metrics and KPIs for AI product initiatives
 </li>
 <li>
 Facilitate communication between technical teams and business stakeholders
 </li>
 <li>
 Support governance, prioritization, and lifecycle management of AI solutions
 </li>
 <li>
 Identify industry trends and emerging AI capabilities to recommend strategic opportunities
 </li>
 </ul>
 Required Technical &amp; Business SkillsAI Use Case Strategy
 <ul>
 <li>
 Strong experience in
 
 AI use case definition
 
 and identification of business opportunities for AI adoption
 </li>
 <li>
 Ability to evaluate AI feasibility, business impact, and implementation roadmap
 </li>
 <li>
 Experience translating AI capabilities into practical business solutions
 </li>
 </ul>
 Product Strategy &amp; Management
 <ul>
 <li>
 Strong experience in
 
 AI product strategy
 
 and roadmap development
 </li>
 <li>
 Experience defining product vision, priorities, success metrics, and adoption strategies
 </li>
 <li>
 Understanding of product lifecycle management and digital transformation initiatives
 </li>
 </ul>
 Stakeholder Engagement
 <ul>
 <li>
 Proven experience managing
 
 stakeholder engagement
 
 across business, technology, and executive teams
 </li>
 <li>
 Ability to communicate complex AI concepts to technical and non-technical audiences
 </li>
 <li>
 Experience facilitating workshops, discovery sessions, and executive discussions
 </li>
 </ul>
 AI Adoption &amp; Change Enablement
 <ul>
 <li>
 Experience driving
 
 AI adoption
 
 across organizations
 </li>
 <li>
 Ability to develop adoption frameworks, training strategies, and business enablement plans
 </li>
 <li>
 Understanding of organizational change management principles
 </li>
 </ul>
 Qualifications
 <ul>
 <li>
 Bachelor's degree in Computer Science, Business Administration, Artificial Intelligence, Information Systems, or a related field
 </li>
 <li>
 
 9&ndash;12+ years
 
 of experience in AI product management, digital transformation, business strategy, technology consulting, or related roles
 </li>
 <li>
 Strong understanding of AI/ML concepts and enterprise AI adoption challenges
 </li>
 <li>
 Excellent leadership, communication, and stakeholder management skills
 </li>
 <li>
 Proven ability to manage cross-functional initiatives and deliver business outcomes
 </li>
 </ul>
 Preferred Skills
 <ul>
 <li>
 Experience working with Generative AI, Large Language Models (LLMs), and AI-powered products
 </li>
 <li>
 Exposure to cloud AI platforms such as AWS, Azure, or Google Cloud AI services
 </li>
 <li>
 Experience in enterprise transformation programs and innovation initiatives
 </li>
 <li>
 Familiarity with AI governance, responsible AI practices, and risk management
 </li>
 <li>
 Experience working in Agile product development environments
 </li>
 </ul>
 Key Capability Areas
 <ul>
 <li>
 
 AI Strategy:
 
 AI Use Case Definition
 
 and
 
 AI Opportunity Assessment
 
 and
 
 Business Value Mapping
 </li>
 <li>
 
 Product Management:
 
 Product Strategy
 
 and
 
 AI Roadmap Development
 
 and
 
 Adoption Planning
 </li>
 <li>
 
 Stakeholder Management:
 
 Executive Engagement
 
 and
 
 Cross-functional Collaboration
 
 and
 
 Business-Technology Alignment
 </li>
 <li>
 
 AI Adoption:
 
 Change Enablement
 
 and
 
 User Adoption Strategy
 
 and
 
 AI Transformation Initiatives
 </li>
 <li>
 
 Business Translation:
 
 Translating AI Capabilities
 
 and
 
 Driving Measurable Business Outcomes
 
 and
 
 Strategic Decision Support
 </li>
 </ul>
</div>

AI Product & Business Translation Lead

Infomineo

<div>
 
 
 About us
 
 
 
 Infomineo is a pioneering global AI-enhanced research company that transforms how businesses access, analyze, and act on critical intelligence. We&rsquo;ve evolved from traditional business research outsourcing to become the strategic partner that combines cutting-edge artificial intelligence with deep human expertise. We offer 3 services to our global clients (leading consulting companies, Fortune 500 companies, and government entities): AI and Data Advisory, Next-Gen Insights and Resource Scaling. This is made possible by relying on 3 pillars of excellence:
 
 
 
 
 <ol>
 <li>
 350+ industry experts spread across 5 offices (Cairo, Casablanca, Mexico City, Dubai, Barcelona).
 </li>
 <li>
 Our proprietary AI orchestrator.
 </li>
 <li>
 Extensive knowledge assets combining 500,000+ delivered case studies and database subscriptions.
 </li>
 </ol>
 
 
 
 
 Ready to kick start your career with us?
 
 
 
 Why Infomineo? Here&rsquo;s what sets us apart:
 
 
 <ul>
 <li>
 
 Shape the Future of Business Insights:
 
 You will be at the forefront, leading the design and implementation of AI-driven solutions that automate tasks and drive efficiency across our entire service spectrum (Business Research, Content, Design, and Data Analytics).
 </li>
 <li>
 
 Work with Global Leaders:
 
 Our clients are industry leaders &mdash; Fortune 500s, top consultancies, governments, and NGOs. You will take ownership of delivering technical solutions that directly support their success.
 </li>
 <li>
 
 Lead in AI &amp; Technology:
 
 We foster continuous learning and technical excellence. You will stay ahead of the latest advancements in AI and software engineering, and actively drive innovation across the team.
 </li>
 <li>
 
 Thrive in a Collaborative Culture:
 
 We value intellectual curiosity, leadership, and a can-do attitude. You will be encouraged to mentor others, contribute strategic ideas, and make a lasting impact on the company&rsquo;s growth.
 </li>
 </ul>
 
 
 
 
 
 About this role:
 
 
 
 We are seeking an experienced and technically strong individual to join us as
 
 Senior AI Software Engineer.
 
 In this role, you will take ownership of designing, developing, and deploying AI-powered data products and analytical applications that serve our internal teams and global clients. You will lead data science and AI initiatives, define best practices for applied AI and analytical solution development, and collaborate closely with engineering, product, and business stakeholders. While the role is primarily data science and AI-focused, you will also leverage your full-stack development background to build production-ready applications, integrate AI capabilities, and support cloud-based deployment.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 
 Data Science, AI &amp; Applied R&amp;D:
 
 
 <ul>
 <li>
 Lead the design and development of AI-powered analytical solutions, data products, and intelligent applications that solve complex business problems.
 </li>
 <li>
 Translate business and client requirements into data science approaches, AI workflows, and scalable technical solutions.
 </li>
 <li>
 Design, prototype, and productionize machine learning, LLM, and generative AI solutions with a focus on business value, reliability, and usability.
 </li>
 <li>
 Own the architecture of Retrieval-Augmented Generation (RAG) pipelines, including document processing, vectorization, semantic search, evaluation, and query optimization for enterprise use cases.
 </li>
 <li>
 Design and implement complex AI-powered features by integrating LLM APIs and services using frameworks such as LangChain or equivalent, with a focus on reliability, accuracy, and performance in production.
 </li>
 <li>
 Design, implement, and maintain Model Context Protocol (MCP) integrations to connect AI models with external tools, APIs, and data sources, enabling context-aware and extensible AI solutions.
 </li>
 <li>
 Develop evaluation frameworks, monitoring approaches, and observability practices for LLM-powered systems to ensure quality, transparency, and continuous improvement.
 </li>
 <li>
 Apply advanced prompt engineering, embedding strategies, and vector database management techniques to improve the performance of AI solutions.
 </li>
 <li>
 Integrate AI outputs into analytical workflows, dashboards, reporting tools, and client delivery pipelines.
 </li>
 </ul>
 
 
 
 
 
 Full-Stack Application Development:
 
 
 <ul>
 <li>
 Design and contribute to the development of production-grade AI and data applications, primarily using Python and backend frameworks such as FastAPI.
 </li>
 <li>
 Build or support frontend interfaces using modern frameworks such as React, Next.js, or Vue to make AI and data products accessible to business users and clients.
 </li>
 <li>
 Collaborate with software engineers to define scalable application architectures, API standards, and integration patterns.
 </li>
 <li>
 Develop and maintain REST API integrations with third-party AI services, enterprise SaaS platforms, internal tools, and external data sources.
 </li>
 <li>
 Ensure that data science prototypes are translated into maintainable, secure, and scalable production solutions.
 </li>
 <li>
 Participate in code reviews, define technical best practices, and contribute to a high-quality engineering and data science culture.
 </li>
 </ul>
 
 
 
 
 
 Cloud, Deployment &amp; MLOps:
 
 
 <ul>
 <li>
 Support the containerization and cloud deployment of AI and data applications, preferably on Google Cloud Platform using GKE and Artifact Registry, while remaining adaptable to other cloud environments.
 </li>
 <li>
 Design and maintain CI/CD pipelines using GitHub Actions or equivalent tools to ensure reliable and repeatable releases.
 </li>
 <li>
 Apply MLOps and LLMOps practices to manage experimentation, deployment, monitoring, and continuous improvement of AI systems.
 </li>
 <li>
 Collaborate with engineering and infrastructure teams to ensure the reliability, scalability, and performance of production environments.
 </li>
 <li>
 Proactively identify performance bottlenecks in AI workflows, data pipelines, application layers, and infrastructure.
 </li>
 </ul>
 
 
 
 
 
 Technical Leadership &amp; Collaboration:
 
 
 <ul>
 <li>
 Lead applied AI and data science initiatives from discovery and prototyping through production deployment.
 </li>
 <li>
 Mentor junior data scientists, AI engineers, and developers on data science methods, AI integration, coding practices, and production readiness.
 </li>
 <li>
 Work closely with product teams, consultants, analysts, and non-technical stakeholders to ensure solutions are aligned with business needs.
 </li>
 <li>
 Define standards and best practices for AI solution design, evaluation, documentation, and delivery.
 </li>
 <li>
 Communicate complex technical concepts clearly to both technical and non-technical audiences.
 </li>
 </ul>
 
 
 
 
 
 Qualifications:
 
 
 <ul>
 <li>
 4 to 6 years of experience in data science, AI development, applied machine learning, or related technical roles, with hands-on experience delivering production-grade AI or data products.
 </li>
 <li>
 Strong proficiency in Python, with experience using data science, machine learning, and AI libraries and frameworks.
 </li>
 <li>
 Solid full-stack development background, including experience with backend frameworks such as FastAPI and modern frontend frameworks such as React, Next.js, or Vue.
 </li>
 <li>
 Deep understanding of LLMs, RAG architectures, generative AI workflows, and production-grade AI service integration, including tools such as OpenAI, Gemini, LangChain, or equivalent.
 </li>
 <li>
 Proven experience designing and implementing Model Context Protocol (MCP) integrations to connect AI models with external tools, APIs, and enterprise data sources.
 </li>
 <li>
 Experience building analytical workflows, dashboards, data pipelines, or AI-powered decision-support tools in a client delivery or enterprise context.
 </li>
 <li>
 Hands-on experience with Docker and cloud deployment on at least one major cloud platform such as GCP, AWS, Azure, or equivalent.
 </li>
 <li>
 Familiarity with container orchestration, artifact management, CI/CD pipelines, GitHub Actions, GitOps workflows, and branching strategies.
 </li>
 <li>
 Strong understanding of LLM observability, AI evaluation, performance monitoring, and production reliability practices.
 </li>
 <li>
 Demonstrated ability to lead technical initiatives, mentor junior team members, and collaborate effectively with product teams and business stakeholders.
 </li>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Computer Science, Software Engineering, Statistics, Applied Mathematics, or a related field.
 </li>
 </ul>
 
 
 
 
 
 Preferred Skills:
 
 
 <ul>
 <li>
 Experience with agentic AI frameworks such as LangGraph or similar orchestration tools for building multi-step AI workflows.
 </li>
 <li>
 Knowledge of advanced prompt engineering, vector database management, embedding model optimization, and AI evaluation techniques.
 </li>
 <li>
 Experience with MLOps or LLMOps practices, including experiment tracking, model monitoring, and AI quality evaluation.
 </li>
 <li>
 Experience with Infrastructure as Code tools such as Terraform or Pulumi.
 </li>
 <li>
 Experience designing data models, analytical pipelines, or BI/dashboard solutions.
 </li>
 <li>
 Relevant certifications such as Google Cloud Professional Data Engineer, Google Cloud Professional Machine Learning Engineer, Google Cloud Professional Developer, or similar cloud and AI credentials.
 </li>
 </ul>
 
 
 
 
 
 What we offer:
 
 
 <ul>
 <li>
 A competitive compensation and benefits package.
 </li>
 <li>
 The opportunity to lead AI and technology initiatives with real global impact.
 </li>
 <li>
 A dynamic and supportive work environment that values leadership, innovation, and your contributions.
 </li>
 <li>
 Continuous learning and professional development opportunities to propel your career forward in AI and software engineering.
 </li>
 </ul>
 
 
 
 
 
 Application Process:
 
 
 
 Candidates are invited to submit a resume, cover letter, and any relevant portfolio or GitHub links showcasing their experience in web application development, AI integration, and cloud deployment. Shortlisted candidates will undergo a technical assessment and interview to demonstrate their skills and technical leadership capabilities.
 
 
 
 
 
 
 Infomineo: Where brilliant minds meet to shape the future of business.
 
 
 
 
</div>

AI & Analytics - Sr. Software Engineer with AI Background - Cairo

Procore Technologies

<div>
 We&rsquo;re looking for a
 
 Staff Software Engineer - Agentic Foundation
 
 to join Procore&rsquo;s Product &amp; Technology Team. The Agentic Foundation team treats AI adoption as an internal product, building and operating the tooling, frameworks, and services that make AI-native workflows the default across Procore's software development lifecycle. This position requires developer productivity experience to achieve high velocity without compromising on quality in this critical functional domain.
 
 
 Procore software solutions aim to improve the lives of everyone in construction and the people within Product &amp; Technology are the driving force behind our innovative, top-rated global platform. We&rsquo;re a customer-centric group that encompasses engineering, product, product design and data, security and business systems.
 
 
 This role reports to a Senior Manager, Software Engineering and we&rsquo;re looking for someone to join us immediately.
 
 Apply now!
 
 
 
 
 
 What you&rsquo;ll do:
 
 
 
 
 <ul>
 <li>
 AI is central to how we work. You&rsquo;ll be expected to master generative tools and agentic workflows, moving beyond just using AI to actively building the agentic future of construction
 </li>
 <li>
 Own the technical vision and architectural strategy for Procore's agentic developer platform &mdash; setting the direction for how AI is integrated natively across the full software development lifecycle, from code generation and review through testing, deployment, and observability.
 </li>
 <li>
 Author and drive adoption of architectural RFCs and technical design documents that establish org-wide platform contracts, integration patterns, and engineering standards for teams you don't directly work with.
 </li>
 <li>
 Conduct thorough, constructive code reviews and pair with teammates to elevate code quality and knowledge-sharing across the team.
 </li>
 <li>
 Anticipate second- and third-order consequences of platform decisions; design systems that remain extensible as Procore's agentic capabilities evolve.
 </li>
 <li>
 Collaborate with infrastructure, platform, and product engineering teams to align on shared standards and avoid duplicated effort.
 </li>
 <li>
 Bring strong opinions, loosely held &mdash; propose ideas clearly, pressure-test them with the team, and adapt based on feedback.
 </li>
 <li>
 Establish and champion engineering standards, best practices, and platform contracts that allow hundreds of development teams to ship safely at high velocity.
 </li>
 <li>
 Focus on metrics and observability: We intend to become an elite performer in the software industry, and we can only do this if we learn and adapt quickly. We need telemetry from our agentic software delivery systems from which to continually learn how to improve our lead time for changes, our change failure rate, and our mean time to recover from failure.
 
 
 </li>
 </ul>
 
 
 What we&rsquo;re looking for:
 
 
 
 
 <ul>
 <li>
 8+ years of professional software engineering experience, with demonstrated depth in full-stack development and backend systems.
 </li>
 <li>
 Proven proficiency with AI-native developer tooling &mdash; you have integrated LLM-powered systems into engineering workflows (code review, test generation, agentic pipelines, or similar) and can lead Procore's strategy in this space from day one.
 </li>
 <li>
 Experience building or integrating AI-native developer tooling &mdash; LLM-assisted code review, agentic test generation, AI-powered incident triage, or similar.
 </li>
 <li>
 Experience with LLM evaluation frameworks (benchmarks, evals, quality scoring) for assessing tool effectiveness.
 </li>
 <li>
 Experience building MCPs, MCP Gateway, or AI/LLM Gateways.
 </li>
 <li>
 Familiarity of how AI Agents and LLMs work under the hood.
 </li>
 <li>
 Experience working in Developer Platform, DevOps or Developer Experience teams.
 </li>
 <li>
 Strong fundamentals in at least one of: Ruby on Rails, Python or TypeScript; comfort reading and contributing across multiple languages.
 </li>
 <li>
 Solid DevOps instincts: you understand deployment strategies, rollback mechanisms, feature flags, and what 'safe to deploy' actually means in a high-scale environment.
 </li>
 <li>
 Expert-level fluency in software delivery observability: DORA metrics, distributed tracing, SLO/SLA design, and building feedback loops that drive measurable improvement.
 </li>
 <li>
 Track record of mentoring senior engineers and raising the technical bar of those around you &mdash; not just executing at a high level yourself.
 </li>
 <li>
 Comfort navigating organizational ambiguity: you can drive clarity, build consensus, and maintain momentum on long-horizon initiatives without close direction.
 </li>
 </ul>
</div>

Staff Software Engineer - Agentic Foundation

Synopsys Inc

<div>
 
 We Are:
 
 
 
 At Synopsys, we drive the innovations that shape the way we live and connect. Our technology is central to the Era of Pervasive Intelligence, from self-driving cars to learning machines. We lead in chip design, verification, and IP integration, empowering the creation of high-performance silicon chips and software content. Join us to transform the future through continuous technological innovation.
 
 
 
 You Are:
 
 
 
 <ul>
 <li>
 The ideal candidate will have expertise in AI and Large Learning Models (LLM) used in the semiconductor verification market to help develop and drive Synopsys ICV AI use models for established process nodes to support advanced market needs. In this role you will be able to envision and prototype AI concepts that could accelerate semiconductor verification solutions and validate them in actual market use models. This is especially critical as the market is moving into the rapidly evolving combination of established process node, and advanced process nodes due to the rapidly expanding 3D and Chiplet market.
 </li>
 <li>
 You are interacting with the rest of Product Management, Technical Sales, and customers to have a complete understanding as to what specific AI use models need to be incorporated into product roadmaps to support the multiple markets that Synopsys interacts with.
 </li>
 <li>
 You are highly motivated, with a passion for innovation and the ability to work collaboratively across engineering, product management and sales teams to ensure alignment to initiatives.
 </li>
 <li>
 You are comfortable working as an individual contributor on multiple special projects while at the same time influence managing Technical Sales, R&amp;D, and Product Management.
 
 
 </li>
 </ul>
 
 What You&rsquo;ll Be Doing:
 
 
 
 <ul>
 <li>
 You will work with the Executive Director of Synopsys ICV for Established Nodes to conceptualize, prototype, and validate AI use models across the Synopsys ICV offering. These use models will be applicable for development and QA of core Synopsys ICV products and for customer applications throughout the Synopsys ICV product line. Special focus will be on the application of AI within strategies for Synopsys ICV established process node designs that align with advanced process nodes on the same 3D system and with overall Synopsys ICV broader business objectives.
 </li>
 <li>
 You will work with the rest of the 3D established node product managers to train and educate Synopsys Technical sales. Also work with Technical Sales to explain how to address customer unique requirements that calls for funded customization and support.
 </li>
 <li>
 You will work closely with the rest of Synopsys ICV product management, R&amp;D and sales teams to align ICV AI based needs with Synopsys product development and go-to-market strategies.
 
 
 </li>
 </ul>
 
 The Impact You Will Have:
 
 
 
 <ul>
 <li>
 Accelerate Synopsys&rsquo; ICV strategic positioning in the 3D and Chiplet established node market via identification and development of competitive differentiation using AI based techniques.
 </li>
 <li>
 Strengthen Synopsys&rsquo; influence and thought leadership within the semiconductor ecosystem and customer base through compelling presentations and engagement via AI driven use models as how Synopsys ICV is the solutions for the new 3D/Chiplet market.
 
 
 </li>
 </ul>
 
 What You&rsquo;ll Need:
 
 
 
 <ul>
 <li>
 10+ years of relevant EDA/semiconductor product management experience.
 </li>
 <li>
 5+ years of experience in development of solutions that include AI and LLM techniques
 </li>
 <li>
 BS/MS, in Electrical Engineering and or Device Physics required. PhD or MBA in your field desired.
 </li>
 <li>
 Understanding of Semiconductor ecosystem, and expertise with Foundry, EDA PDK development and associated relationships for DRC functions and Rules.
 </li>
 <li>
 Proven ability to work with Product Management senior managers to help define what is a customer specific need vs a general market requirement where they could be an industry leading teacher-customer.
 </li>
 <li>
 Exceptional ability to drive and achieve results by yourself and others under time pressure.
 </li>
 <li>
 Excellent presentation, communications, and interpersonal skills.
 </li>
 <li>
 Ability to travel at least 20% of the time.
 
 
 </li>
 </ul>
 
 The Team You&rsquo;ll Be A Part Of:
 
 
 
 You will be working with senior management to create a dynamic team focused on greatly expanding Synopsys&rsquo; ICV product offerings and market positioning in the established node/3D design environment. This team will work closely with Line of Business (LoB) product management, sales, and R&amp;D to align ecosystem offerings with Synopsys&rsquo; ICV overall strategic goals. As a key component of the overall Synopsys EDA Product Management Group, this team will identify and cultivate new opportunities, drive collaborative initiatives, and promote joint marketing programs to deliver solutions to the semiconductor market that mutual established node customers need as the world moves into multiple ways to design their offerings. It is no longer just &ldquo;let&rsquo;s go to the next process node&rdquo; but a &ldquo;how do we best design this&rdquo; world.
 
 
 
 Rewards and Benefits:
 
 
 
 We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs. Our total rewards include both monetary and non-monetary offerings. Your recruiter will provide more details about the salary range and benefits during the hiring process.
 
 
 At Synopsys, we want talented people of every background to feel valued and supported to do their best work. Synopsys considers all applicants for employment without regard to race, color, religion, national origin, gender, sexual orientation, age, military veteran status, or disability.
 
 
 In addition to the base salary, this role may be eligible for an annual bonus and other discretionary bonuses. Synopsys offers comprehensive health, wellness, and financial benefits as part of a of a competitive total rewards package. The actual compensation offered will be based on a number of job-related factors, including location, skills, experience, and education. Your recruiter can share more specific details on the total rewards package upon request.
</div>

Principal AI Technical Product Manager - Synopsys ICV

Goodie AI

<div>
 
 About Goodie AI
 
 
 
 Goodie helps leading brands win AI search. As billions of people use ChatGPT, Perplexity, Gemini, and other AI systems to discover products and make buying decisions, brands need a way to understand and influence how they&rsquo;re represented.
 
 
 Goodie gives teams a full AI control plane: real-time visibility into how AI models speak about their brand and products, how competitors show up, and an optimization engine to improve visibility and performance. This category didn&rsquo;t exist two years ago - we were early, and we&rsquo;re defining it.
 
 
 We&rsquo;re backed by strong investors, trusted by category-leading customers, and scaling fast. We&rsquo;re hiring curious, ambitious builders to help shape the future of AI search.
 
 
 
 What we are looking for:
 
 
 
 As a Product Manager for the Goodie AI, you will drive development and launch of AI products focused on marketing use cases. You will work closely with our Engineering and Design teams to solve some of the most interesting problems in the world of marketing and build scalable, industry-leading observability platform.
 
 
 
 What you'll do:
 
 
 
 <ul>
 <li>
 Lead and drive the product development lifecycle from ideation to launch, ensuring alignment with product vision, customer needs. .
 </li>
 <li>
 Manage project timelines, resources, and deliverables to ensure velocity in deployment and successful on-time product launches.
 </li>
 <li>
 Utilize product analytics tools to gather insights, measure product performance, and inform data-driven decisions.
 </li>
 <li>
 Define and prioritize product features, creating clear roadmaps and communicating them effectively to stakeholders.
 </li>
 <li>
 Drive the development of marketing collateral, including landing pages, guides, and presentations, to effectively communicate product value.
 </li>
 <li>
 Work closely with sales and marketing teams to support go-to-market strategies and product positioning.
 </li>
 <li>
 Continuously assess market trends and customer feedback to refine and improve products.
 </li>
 <li>
 Ensure that all products meet high standards of quality, usability, and performance.
 </li>
 <li>
 Foster a culture of continuous learning and improvement within the AI Lab.
 
 
 </li>
 </ul>
 
 What you have:
 
 
 
 <ul>
 <li>
 4+ years of experience in product management, preferably with B2B SaaS products focused on marketing use cases and persona.
 </li>
 <li>
 Strong knowledge and passion for AI, with experience in Generative AI product development being a plus.
 </li>
 <li>
 A degree in Product Management, Computer Science, Data Analytics, Marketing, or a related field is a plus.
 </li>
 <li>
 Experience working with consumer to mid-market B2B SaaS products.
 </li>
 <li>
 Proficiency in product analytics tools like Mixpanel, Amplitude or Aha!
 </li>
 <li>
 A proven track record of coordinating between design and engineering teams to achieve sprint goals on time.
 </li>
 <li>
 Excellent project management skills and the ability to manage multiple priorities effectively.
 </li>
 <li>
 Strong communication skills with the ability to convey product value through landing pages, guides, and presentations.
 </li>
 <li>
 An analytical mindset with the ability to drive product decisions based on data and users feedback.
 </li>
 <li>
 A collaborative approach, working seamlessly with cross-functional teams to deliver results.
 
 
 </li>
 </ul>
 BEWARE OF FRAUD! Please be aware of potentially fraudulent job postings or suspicious activity by persons that are posing as Goodie team members, recruiters, and HR employees. Our team will contact you regarding job opportunities from email addresses ending in @nogood.io or @higoodie.com. Additionally, we do utilize our ATS- Ashby- to help us schedule initial screening calls. Job seeking is hard- we&rsquo;re sorry that scammers have added this element to your search for something new. Stay vigilant out there!
 
 
</div>

Product Manager

🌮⭐️ TacoStars

<div>
 Foodics
 
 
 Software Engineering
 
 
 Cairo, Cairo Governorate, Egypt
 
 
 Posted on Jun 9, 2026
 
 
 Apply now
 
 
 
 Who Are We
 
 ❓
 
 
 
 We Are Foodics!
 
 a leading restaurant management ecosystem and payment tech provider. Founded in 2014 with headquarter in Riyadh and offices across 5 countries, including UAE, Egypt, Jordan and Kuwait. We are currently serving customers and partners in over 35 different countries worldwide. Our innovative products have successfully processed over 6 billion (yes, billion with a B) orders so far! making Foodics one of the most rapidly evolving SaaS companies to ever emerge from the MENA region. Also Foodics has achieved three rounds of funding, with the latest raising $170 million in the largest SaaS funding round in MENA, boosting its innovation capabilities to better serve business owners.
 
 
 
 The Job in a Nutshell💡
 
 
 
 We're hiring a Senior Engineer to lead significant pieces of work on our platform - from shaping the problem with Product, through designing the solution, to shipping it and supporting it in production. You'll be a key technical voice on the team, helping to set the bar for what good looks like and mentoring others as you go. You'll be working with modern PHP and TypeScript/React on a platform that processes hundreds of thousands of orders a week. The challenges are real, the autonomy is high, and the team is small enough that your decisions matter.
 
 
 
 What Will You Do❓
 
 
 
 <ul>
 <li>
 Lead the development of new features end-to-end - from refining the requirements with Product through to shipping and monitoring in production.
 </li>
 <li>
 Drive the technical design of significant system changes and set development standards for the Backend team.
 </li>
 <li>
 Mentor others and be willing to learn from them in turn.
 </li>
 <li>
 Enthuse about new technology and look for pragmatic opportunities to enhance our existing technology stack.
 </li>
 <li>
 Operate with autonomy: identify problems, propose solutions, and follow through without needing to be managed.
 
 
 </li>
 </ul>
 
 What Are We Looking For❓
 
 
 
 
 Backend depth:
 
 Comfortable leading non-trivial work in modern PHP (7/8+) - Object-Oriented Design, testability, and the trade-offs of common patterns are second nature.
 
 
 
 Frontend competence:
 
 Can ship production React/TypeScript features end-to-end without supervision.
 
 
 
 Scale experience:
 
 You've worked on high-traffic web applications and understand what breaks at scale - database hotspots, caching, queueing, idempotency, observability.
 
 
 
 Relational databases:
 
 Practical experience with MySQL or similar - you can read an EXPLAIN plan and fix a slow query without guessing.
 
 
 
 Integration work:
 
 Experience designing and consuming HTTP APIs, including handling the messy realities of third-party reliability.
 
 
 
 AI-assisted development:
 
 You use modern AI coding tools (Claude Code, Cursor, Copilot or similar) as part of your daily workflow - and you have a healthy scepticism of their output. You can tell when the model is bluffing and you don't merge code you don't understand.
 
 
 
 Product partnership:
 
 Can work with Product Managers to refine requirements, push back constructively, and give honest estimates.
 
 
 
 Communication:
 
 Can explain technical decisions to non-engineers and write clearly enough that async collaboration actually works.
 
 
 
 Judgment:
 
 Strong problem-solving, attention to detail, and the instinct to ask "do we actually need this?" before adding complexity.
 
 
 
 Who Will Excel❓
 
 
 
 <ul>
 <li>
 DevOps experience with a major cloud provider (AWS / GCP / Azure).
 </li>
 <li>
 Kubernetes, CI/CD pipelines.
 </li>
 <li>
 Python, Node, or other backend languages - we care more about polyglot instinct than the specific stack.
 </li>
 <li>
 Elasticsearch, GraphQL.
 </li>
 <li>
 Experience evaluating or building features that incorporate LLMs into a product (prompt design, RAG, evals, cost/latency trade-offs).
 
 
 </li>
 </ul>
 
 What We Offer You❗
 
 
 
 <ul>
 <li>
 Curated career progression planning with formal yearly reviews and informal check-ins along the way.
 </li>
 <li>
 Encouragement to grow into a Feature Development Lead.
 </li>
 <li>
 A competitive salary.
 </li>
 <li>
 Ample time to learn new concepts - including paid development and business-related conferences.
 </li>
 <li>
 Fully remote working, no commuting expenses.
 </li>
 <li>
 Flexible work hours. We'll need you around for a 10am stand-up; otherwise you work as and when it suits you.
 </li>
 <li>
 25 days holiday (plus bank holidays), with an additional day per year of service.
 </li>
 <li>
 Regular all-company socials and quarterly team socials.
 </li>
 <li>
 A team that genuinely likes learning and shipping together.
 
 
 </li>
 </ul>
 Apply now
 
 
 See more open positions at Foodics
</div>

Senior Full Stack Engineer

York Towers

<div>
 York Towers is the development arm of the York Holding Group. Through continuous research and the ability to predict emerging trends, the company keeps an edge over the market. Playing a leading role in driving the successful development and diversification of one of the most vital economic sectors, York Towers is committed to creating residential products across the country that provide residents with distinctive, universal, multicultural, and enriching lifestyles. York Towers is the exclusive developer of luxury real estate worldwide. The company aims to become a leading real estate player through an efficient business model and advanced technologies used for designing and construction. Since its establishment in 2016, York Towers has delivered 20 real estate properties and runs six dynamic projects. York Towers operates eight offices in five countries across three continents.
 
 
 About us:
 
 
 
 
 Dwelleo is an innovative
 
 
 PropTech platform transforming the Saudi Arabian real estate market
 
 
 through AI-powered insights, smart listings, and advanced digital solutions for developers, brokers, and property seekers. Our mission is to redefine the way properties are bought, sold, and rented in KSA through a seamless, intelligent digital ecosystem.
 
 
 
 As part of our growth, we are expanding our commercial team and are looking for a high-performing
 
 B2B Telesales Specialist
 
 
 to drive developer and broker onboarding across Saudi Arabia.
 
 
 
 
 
 
 
 Role Summary
 
 
 
 The
 
 B2B Telesales Specialist &ndash; Real Estate (KSA Market)
 
 will be responsible for driving outbound sales activities, onboarding real estate developers, brokerage firms, and individual brokers onto the Dwelleo platform. This is a high-impact revenue-generating role focused on pipeline development, closing onboarding deals, and growing Dwelleo&rsquo;s listing ecosystem across Saudi Arabia&mdash;fully remote from Egypt.
 
 
 
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 
 
 
 B2B Telesales &amp; Onboarding
 
 
 <ul>
 <li>
 Identify, target, and engage real estate developers, brokerage firms, and individual brokers across Saudi Arabia.
 </li>
 <li>
 Conduct high-volume outbound calls, virtual meetings, and follow-ups to convert leads into active partners.
 </li>
 <li>
 Present Dwelleo&rsquo;s platform, pricing packages, and AI-powered tools clearly and persuasively.
 </li>
 <li>
 Negotiate commercial terms, onboarding agreements, and listing packages in line with company policies.
 </li>
 <li>
 Manage the full sales cycle from lead generation to deal closure and onboarding activation.
 </li>
 <li>
 Maintain accurate records of activities, pipelines, and conversion data using CRM tools.
 
 
 </li>
 </ul>
 
 
 
 
 
 Client Relationship Management
 
 
 <ul>
 <li>
 Build strong long-term relationships with developers and brokers to ensure recurring listings.
 </li>
 <li>
 Act as the main point of contact during onboarding and early-stage activation.
 </li>
 <li>
 Ensure partners are fully trained and supported to maximize platform adoption and performance.
 
 
 </li>
 </ul>
 
 
 
 
 
 Market Awareness &amp; Growth Support
 
 
 <ul>
 <li>
 Monitor the Saudi real estate market and identify new business opportunities.
 </li>
 <li>
 Track competitors such as Property Finder, Bayut, Wasalt, and Aqaar.
 </li>
 <li>
 Share market feedback with Product and Marketing teams to improve positioning and performance.
 
 
 </li>
 </ul>
 
 
 
 
 
 Reporting &amp; Performance
 
 
 <ul>
 <li>
 Achieve monthly targets for onboarding volume, revenue, and active listings.
 </li>
 <li>
 Prepare weekly sales reports covering pipeline status, conversion rates, and market insights.
 </li>
 <li>
 Collaborate closely with Product, Marketing, and Operations teams for smooth deal execution.
 
 
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Requirements
 
 
 
 
 
 
 
 Must-Have Qualifications
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Business, Sales, Marketing, Real Estate, or a related field.
 </li>
 <li>
 2&ndash;4 years of experience in
 
 B2B sales, telesales, business development, or account management
 
 .
 </li>
 <li>
 Previous experience in
 
 PropTech, real estate platforms, SaaS, or digital marketplaces
 
 is highly preferred.
 </li>
 <li>
 Strong understanding of B2B sales with developers, brokers, or property owners.
 </li>
 <li>
 
 Fluent English is mandatory
 
 (spoken and written) for dealing with KSA clients and international stakeholders.
 </li>
 <li>
 Proven track record of achieving sales targets.
 </li>
 <li>
 Highly self-motivated and disciplined for remote work environments.
 
 
 </li>
 </ul>
 
 
 
 
 
 Preferred Qualifications
 
 
 <ul>
 <li>
 Experience working with or selling to the
 
 Saudi real estate market
 
 .
 </li>
 <li>
 Experience using CRM systems.
 </li>
 <li>
 Understanding of digital marketing, online listings, and lead generation.
 
 
 </li>
 </ul>
 
 
 
 
 
 Key Competencies
 
 
 <ul>
 <li>
 Strong persuasion, negotiation, and closing skills.
 </li>
 <li>
 Excellent relationship-building ability.
 </li>
 <li>
 Results-driven and target-oriented mindset.
 </li>
 <li>
 High level of professionalism and customer focus.
 </li>
 <li>
 Ability to thrive in a fast-paced, tech-driven startup environment.
 
 
 </li>
 </ul>
 
 
 
</div>

Telesales Specialist (B2B/B2C)

Explore 166+ Ai product business translation lead in Cairo this August. Find roles across top companies and apply now to boost your career.