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ai product manager

<div>
 
 
 Job Summary:
 
 
 
 
 
 
 The AI Product Manager is responsible for defining, building, and scaling AI-powered products within TP&rsquo;s global product ecosystem. This role partners closely with AI Engineering, Data Science, Architecture, UX, and Business Units to translate business needs into secure, scalable, and high-impact AI solutions. The AI Product Manager owns product discovery, roadmap execution, and performance optimization, ensuring AI products deliver measurable outcomes such as efficiency gains, automation, and experience improvements. The role focuses on strong human-AI orchestration, responsible AI practices, and alignment with TP&rsquo;s AI strategy.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 
 
 
 
 AI Product Strategy &amp; Roadmap Execution:
 
 
 
 
 
 <ul>
 <li>
 Contribute to the definition and execution of AI product roadmaps across horizontal and vertical solutions.
 </li>
 <li>
 Translate business problems into clear AI product requirements, user stories, and success metrics.
 </li>
 <li>
 Prioritize features and initiatives based on impact, feasibility, and strategic alignment.
 </li>
 </ul>
 
 
 
 
 
 End-to-End AI Product Lifecycle Ownership:
 
 
 
 
 
 <ul>
 <li>
 Own the product lifecycle from discovery and experimentation to launch, monitoring, and continuous improvement.
 </li>
 <li>
 Partner with engineering and data teams to validate AI feasibility, model selection, and orchestration approaches.
 </li>
 <li>
 Ensure products are scalable, secure, explainable, and production-ready.
 </li>
 </ul>
 
 
 
 
 
 Cross-Functional Delivery:
 
 
 <ul>
 <li>
 Work closely with AI Engineering, Architecture, Data Science, UX, PMO, and Business Units to deliver AI solutions on time and at quality.
 </li>
 <li>
 Act as the primary product point of contact for assigned AI initiatives.
 </li>
 <li>
 Support adoption through clear documentation, enablement materials, and stakeholder alignment.
 </li>
 </ul>
 
 
 AI Performance &amp; Business Impact:
 
 
 
 
 
 <ul>
 <li>
 Define and track product KPIs such as AHT reduction, automation rate, CSAT improvement, and cost efficiency.
 </li>
 <li>
 Analyze performance data and user feedback to inform product iterations and enhancements.
 </li>
 <li>
 Support ROI measurement and value realization for AI initiatives.
 </li>
 </ul>
 
 
 
 
 
 Responsible &amp; Ethical AI:
 
 
 
 
 
 <ul>
 <li>
 Ensure AI products comply with security, data privacy, and responsible AI governance standards.
 </li>
 <li>
 Collaborate with Legal, Security, and Compliance teams during product design and deployment.
 </li>
 <li>
 Promote transparency, explainability, and human-in-the-loop design principles.
 </li>
 </ul>
 
 
 
 
 
 Market &amp; Technology Awareness:
 
 
 
 
 
 <ul>
 <li>
 Stay informed on AI trends (LLMs, NLP, multimodal models, MCP, orchestration) relevant to assigned products.
 </li>
 <li>
 Apply emerging AI capabilities pragmatically to enhance existing products and use cases.
 </li>
 </ul>
 
 
 
 
 
 Job Requirement:
 
 
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or master&rsquo;s degree in computer science, Data Science, Engineering, Business Administration, or a related field.
 </li>
 <li>
 MBA, MSc in AI/ML, or equivalent executive program preferred.
 </li>
 <li>
 4&ndash;6 years of experience in
 
 Product Management, with at least 2&ndash;3 years working on AI or ML-driven products.
 
 </li>
 <li>
 Hands-on experience
 
 delivering AI solutions in enterprise or digital transformation environments.
 
 </li>
 <li>
 Strong experience working with cross-functional technical and business teams in global organizations.
 </li>
 <li>
 Experience
 
 integrating AI technologies into enterprise ecosystems (e.g., Azure AI Foundry, OpenAI, Genesys, ServiceNow, Salesforce).
 
 </li>
 <li>
 Demonstrated ability to drive
 
 AI product delivery and measurable business outcomes as an individual contributor.
 
 </li>
 <li>
 Solid understanding of
 
 AI concepts (LLMs, NLP, multimodal models, MCP, prompt engineering, model orchestration).
 
 </li>
 <li>
 Familiarity with
 
 AI platforms and MLOps environments (Azure, AWS, Vertex, etc.).
 
 </li>
 <li>
 Proficiency in
 
 Agile/Scrum methodologies and product tools (Jira, Aha!, Confluence).
 
 </li>
 <li>
 Strong analytical skills to interpret product performance data and user insights.
 </li>
 </ul>
</div>

AI Product Manager

<div>
 
 Position Overview
 
 
 The AI Product Business Analyst acts as the strategic link between business needs and AI-enabled solutions within the TP.ai FAB ecosystem.
 
 
 This role supports the design, delivery, and optimization of AI-powered products by gathering requirements, analyzing data, and translating insights into actionable recommendations for engineering, data, and product teams.
 
 
 Focused on business value, explainability, and ethical compliance, the Analyst ensures that AI features and models deliver measurable impact while maintaining human-centered design principles.
 
 
 
 
 
 
 
 
 Key Responsibilities
 
 
 &bull; Business Requirement Gathering &amp; Analysis
 
 
 &middot; Collaborate with stakeholders to capture detailed business needs and translate them into functional and non-functional requirements.
 
 
 &middot; Identify opportunities to embed AI capabilities &mdash; including automation, predictive analytics, conversational AI, and generative features &mdash; into digital products and business workflows.
 
 
 &middot; Document and maintain end-to-end process and data flows connecting AI agents, APIs, and human users.
 
 
 &bull; Data-Driven Insight &amp; Solution Definition
 
 
 &middot; Analyze business and operational data to uncover trends, patterns, and improvement opportunities.
 
 
 &middot; Support data scientists and engineers by aligning model outputs with real-world business objectives.
 
 
 &middot; Assist in defining and tracking AI success metrics (accuracy, precision, automation rate, confidence thresholds, etc.).
 
 
 &bull; Process Optimization &amp; Modeling
 
 
 &middot; Map existing workflows, identify bottlenecks, and recommend automation or process redesign.
 
 
 &middot; Develop current-state and future-state business process models using standardized frameworks.
 
 
 &middot; Propose solutions that optimize value, cost efficiency, and user experience while maintaining ethical AI practices.
 
 
 &bull; Cross-Functional Collaboration
 
 
 &middot; Act as a liaison between Product, Engineering, Data Science, and Operations to ensure clarity and alignment.
 
 
 &middot; Participate in agile ceremonies &mdash; grooming, sprint planning, and retrospectives &mdash; to ensure delivery consistency.
 
 
 &middot; Lead stakeholder workshops and feedback sessions to validate requirements and refine priorities.
 
 
 &bull; Testing, Documentation &amp; Continuous Improvement
 
 
 &middot; Participate in UAT (User Acceptance Testing) and validation of AI-enabled features.
 
 
 &middot; Maintain comprehensive documentation (Business Requirement Documents, User Stories, and Functional Specs).
 
 
 &middot; Track performance post-deployment and recommend iterative improvements based on feedback and analytics.
 
 
 &bull; Ethical &amp; Responsible AI Awareness
 
 
 &middot; Support prompt testing, explainability validation, and bias detection in AI outputs.
 
 
 &middot; Ensure product features adhere to Responsible AI, privacy, and data governance principles.
 
 
 &middot; Balance automation efficiency with human oversight and transparency across all product interactions.
 
 
 
 
 
 
 
 
 
 
 
 Required Qualifications
 
 
 Educational Background
 
 
 &middot; Bachelor&rsquo;s degree in Business Administration, Computer Science, Information Systems, Engineering, or a related field.
 
 
 &middot; Certifications in AI Product Management, Data Analytics, or Agile Product Ownership are preferred.
 
 
 
 
 
 Experience
 
 
 &middot; 2&ndash;5 years of experience in Business Analysis, Product Management, or Product Operations roles within digital or technology environments.
 
 
 &middot; Proven ability to support the end-to-end product lifecycle &mdash; from discovery and requirements gathering to deployment and optimization.
 
 
 &middot; Experience collaborating with Product, Engineering, Data Science, and UX teams in global, matrixed organizations.
 
 
 &middot; Exposure to AI-powered or data-driven products (e.g., conversational AI, predictive models, or automation platforms).
 
 
 
 
 
 Technical Skills
 
 
 &middot; Working knowledge of AI technologies (NLP, ML, LLMs, computer vision).
 
 
 &middot; Familiarity with AI platforms (Azure AI, OpenAI, Vertex AI, or equivalent).
 
 
 &middot; Understanding of data analytics fundamentals and business intelligence tools (Power BI, SQL, or similar).
 
 
 &middot; Exposure to prompt engineering, AI product testing, and AI evaluation metrics.
 
 
 &middot; Knowledge of ethical AI principles, bias mitigation, and compliance standards.
 
 
 
 
 
 
 
 
 Soft Skills &amp; Other Requirements
 
 
 &middot; Analytical, curious, and detail-oriented problem solver.
 
 
 &middot; Strong communication skills &mdash; able to bridge business and technical language fluently.
 
 
 &middot; Collaborative and adaptable in agile, cross-functional settings.
 
 
 &middot; Balances human judgment with data-driven insights.
 
 
 &middot; Ethical, empathetic, and user-focused mindset with commitment to responsible AI.
 
</div>

AI Product Business Analyst

Konecta

<div>
 
 
 We&rsquo;re Hiring: Cloud Security Lead
 
 
 
 
 
 
 
 Who We Are:
 
 
 
 
 
 
 Konecta is a global leader in customer management and digital outsourcing, with 120,000 employees across 26 countries. Headquartered in Madrid, we deliver end-to-end customer experience solutions for 500+ clients worldwide.
 
 
 
 
 
 About the Role:
 
 
 
 
 
 Security is foundational to our GenAI platform.
 
 
 Our platform is built on Google Cloud Platform, and we welcome candidates with strong cloud security experience across environments such as Amazon Web Services or Microsoft Azure &mdash; with GCP expertise considered a strong advantage.
 
 
 
 
 
 As our
 
 Security Lead
 
 , you will own the security architecture, drive implementation of security controls, and ensure compliance with enterprise policies and regulations. You&rsquo;ll work closely with infrastructure, application, and product teams to embed security across the full development lifecycle.
 
 
 
 
 
 Key Responsibilities:
 
 
 
 
 <ul>
 <li>
 Own platform security architecture and decision-making
 </li>
 <li>
 Design GCP IAM and organization-level role hierarchies
 </li>
 <li>
 Implement Workload Identity and Kubernetes RBAC for multi-tenant environments
 </li>
 <li>
 Manage Secret Manager, Cloud KMS (CMEK), and service accounts (least privilege)
 </li>
 <li>
 Configure VPC Service Controls to prevent data exfiltration
 </li>
 <li>
 Lead security audits, penetration testing, and incident response readiness
 </li>
 <li>
 Review IaC and application code for security compliance
 </li>
 <li>
 Develop security policies, runbooks, and procedures
 </li>
 <li>
 Ensure GDPR and EU AI Act compliance for AI workloads
 </li>
 </ul>
 
 
 
 
 Required Skills:
 
 
 
 
 <ul>
 <li>
 5+ years in cloud security engineering or architecture
 </li>
 <li>
 Strong hands-on GCP security experience (IAM, VPC Service Controls, Security Command Center)
 </li>
 <li>
 Kubernetes security &amp; Workload Identity knowledge
 </li>
 <li>
 Experience with Secret Manager, Cloud KMS, and encryption key management
 </li>
 <li>
 Zero Trust principles
 </li>
 <li>
 Leading security audits (SOC 2, ISO 27001)
 </li>
 <li>
 Strong communication and stakeholder management skills
 </li>
 </ul>
 
 
 
 
 Nice to Have:
 
 
 
 
 <ul>
 <li>
 GDPR compliance in cloud environments
 </li>
 <li>
 EU AI Act exposure
 </li>
 <li>
 Binary Authorization / supply chain security
 </li>
 <li>
 Penetration testing coordination
 </li>
 <li>
 CISSP, CCSP, or equivalent certifications
 </li>
 </ul>
 
 
</div>

Cloud Security lead

Talkpush

<div>
 
 WE ARE HIRING.
 
 
 
 Talkpush is hiring sales professionals, product managers, marketers, and developers to join its team. Most positions are based in our offices all over the globe: San Francisco, India, Philippines, Costa Rica, Mexico, and Hong Kong. Intelligent and ideological candidates interested in changing the world of recruitment are welcome to apply. Just have a chat with us on our website or on our Facebook page.
 
 
 Read more about the Talkpush culture here.
 
 
 ⚠️
 
 DON'T APPLY FOR A JOB AT TALKPUSH IF THIS IS YOU
 
 
 
 Recruitment is one of the oldest, most established industries, and we're out to change it completely through automation. To make that dream come true, we need people with a fire in their belly who would rather deliver unpleasant truths to customers rather than slap together a quick fix. This isn't a 9-to-5 job that delivers the same experience every day, but a place where once in a while, you wake up with a burning desire to implement a new solution and to test the heck out of it.
 
 
 This means that people who think sucking up to the boss or being a yes-person is the path to success, who aren't willing to stand behind their idea, even in the face of pushback, who prefer change to be predictable and gradual, won't be very happy here. They might be smart, kind, and lovely, but this isn't their pot's lid. If you're the kind of person who gets a little obsessed about a problem and can't think of anything else until you can puzzle it out, we can offer interesting challenges, an international team that will challenge you, and a mission to help millions of people get hired by focusing relentlessly on building better candidate experiences. Does this sound a little scary and overly ambitious? Good, that's just how we like it. ✨
 
 
 Account Manager - French Speaker
 
 
 
 Location:
 
 Fully Remote
 
 
 
 Salary:
 
 Up to $100k OTE
 
 
 
 About Us
 
 
 
 At Talkpush, we build technology that helps companies hire faster and deliver better candidate experiences at scale.
 
 
 Our Account Managers play a critical role in making sure customers see real value from our platform, not just at launch, but long after implementation. We don&rsquo;t believe in &ldquo;set and forget.&rdquo; We believe in long-term partnerships, measurable impact, and continuous growth.
 
 
 We&rsquo;re looking for an Account Manager who enjoys owning client relationships end to end, spotting growth opportunities, and turning customer needs into tangible outcomes. This is a role for someone who is commercially sharp, consultative by nature, and comfortable working in a fast-moving, remote-first environment.
 
 
 The Role
 
 
 As an Account Manager, you&rsquo;ll manage and grow an existing portfolio of customers while identifying opportunities to expand usage and revenue.
 
 
 You&rsquo;ll work closely with clients to understand their goals, challenges, and hiring processes, and partner internally with Product, Solutions Engineering, and Support to deliver the right solutions.
 
 
 This is not a transactional sales role. You&rsquo;ll be trusted to think long-term, build strong relationships, and balance customer success with commercial growth.
 
 
 You&rsquo;ll be responsible for both protecting and expanding revenue, while ensuring customers get real, measurable value from Talkpush.
 
 
 
 As Our Account Manager, You Will
 
 
 
 <ul>
 <li>
 Manage and grow a portfolio of existing Talkpush customers
 </li>
 <li>
 Build trusted relationships with key stakeholders and decision-makers
 </li>
 <li>
 Identify upsell and expansion opportunities aligned to customer needs
 </li>
 <li>
 Prospect and pursue new business opportunities where relevant
 </li>
 <li>
 Own revenue targets and consistently work toward clear sales goals
 </li>
 <li>
 Translate customer requirements into clear internal briefs
 </li>
 <li>
 Collaborate with internal teams to deliver solutions that meet client expectations
 </li>
 <li>
 Stay up to date on recruitment technology trends and market developments
 
 
 </li>
 </ul>
 What We&rsquo;re Looking For
 
 
 <ul>
 <li>
 3+ years&rsquo; experience in account management or sales, ideally in SaaS, HR tech, or recruitment technology
 </li>
 <li>
 Must speak fluent French and English
 </li>
 <li>
 A proven track record of hitting revenue or growth targets
 </li>
 <li>
 Strong communication and relationship-building skills
 </li>
 <li>
 A consultative approach, you listen first, then propose solutions
 </li>
 <li>
 Commercially minded, organised, and comfortable managing priorities
 </li>
 <li>
 Strong problem-solving and analytical skills
 </li>
 <li>
 Ability to work independently while collaborating with a global, remote team
 
 
 </li>
 </ul>
 Why Talkpush
 
 
 <ul>
 <li>
 Work on a product that directly improves how people get hired
 </li>
 <li>
 Real ownership of customer relationships and outcomes
 </li>
 <li>
 Collaboration with a diverse, international team
 </li>
 <li>
 A remote-first culture with high trust and high accountability
 
 
 </li>
 </ul>
 If you&rsquo;re an Account Manager who enjoys building long-term client partnerships and driving meaningful growth, we&rsquo;d love to hear from you.
 
 
 
 About Our AI-Supported Screening
 
 
 
 At Talkpush, we use our own AI-powered screening tool, TalkScore, as part of the application process. After you apply, you may be invited to answer a small number of screening questions designed to help us understand your experience, thinking, and motivation for the role.
 
 
 TalkScore helps us review applications more consistently and fairly, but it does not make hiring decisions on its own. Every application is reviewed by a human, and AI is used only to support our team by highlighting relevant information, never to replace human judgment.
 
 
 We believe great hiring should be transparent, respectful, and focused on giving candidates a clear opportunity to show their strengths.
</div>

Account Manager - French Speaker (Remote - Egypt)

Lucidya | لوسيديا

<div>
 
 About Lucidya
 
 
 
 Lucidya is a fast-growing SaaS company building AI-powered customer experience solutions for enterprises across the MENA region. Known for our deep expertise in Arabic-first AI, we help organizations understand, serve, and engage their customers at scale.
 
 
 We are now launching a new AI Agents business unit, focused on building AI Agent platforms and solutions to solve critical pain-points in Customer Experience - securely, responsibly, and at scale.
 
 
 
 Role Overview
 
 
 
 As an AI Engineer, you will be responsible for designing, building, and deploying intelligent AI agents that solve real business problems. You will work at the intersection of machine learning, deep learning, and production AI, turning advanced models into reliable, scalable systems used by enterprise customers.
 
 
 This role goes beyond experimentation - you will help take AI from concept to production, ensuring performance, ethical compliance, and real-world impact.
 
 
 You will have the opportunity to showcase your ability to build from 0 to a real solution that drives value
 
 
 What You'll Do
 
 
 
 AI &amp; Agent Development
 
 
 
 <ul>
 <li>
 Design, develop, and optimize AI Agents
 </li>
 <li>
 Build evaluation for AI Agent performance, ensuring that AI Agents are working as expected
 </li>
 <li>
 Research and optimise the way we do things
 </li>
 <li>
 Contribute to the development of the Lucidya AI Agent platform
 
 
 </li>
 </ul>
 
 Production &amp; Scalability
 
 
 
 <ul>
 <li>
 Deploy AI models into production environments with a focus on scalability, performance, and reliability
 </li>
 <li>
 Collaborate on MLOps practices to support continuous integration, monitoring, and improvement
 </li>
 <li>
 Ensure AI systems integrate smoothly with existing platforms and workflows
 
 
 </li>
 </ul>
 
 Cross-Functional Collaboration
 
 
 
 <ul>
 <li>
 Work closely with software engineers, product managers, and domain experts
 </li>
 <li>
 Translate business problems into effective AI solutions with measurable outcomes
 </li>
 <li>
 Contribute to solution design for enterprise solutions and long-term deployments
 
 
 </li>
 </ul>
 
 Governance &amp; Quality
 
 
 
 <ul>
 <li>
 Ensure AI solutions comply with ethical standards, data privacy requirements, and legal regulations
 </li>
 <li>
 Document models, algorithms, workflows, and decisions clearly for internal and external stakeholders
 </li>
 <li>
 Stay up to date with the latest AI research, tools, and best practices; and apply them where valuable
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 
 What we're looking for
 
 
 
 
 Technical Skills
 
 
 
 <ul>
 <li>
 3+ years of hands-on experience building and deploying AI-driven systems, with a proven track-record of achieving business value from AI agents - not just using self-serve frameworks like n8n
 </li>
 <li>
 Strong programming skills in Python (Java is a plus)
 </li>
 <li>
 Hands-on experience with machine learning and deep learning techniques
 </li>
 <li>
 Practical experience using TensorFlow, OpenAISDK or similar frameworks
 </li>
 <li>
 Experience deploying AI models into production or production-like environments
 </li>
 <li>
 Strong understanding of AI evals and guardrails
 
 
 </li>
 </ul>
 
 Problem-Solving &amp; Mindset
 
 
 
 <ul>
 <li>
 Ability to analyze complex problems and design innovative AI-driven solutions
 </li>
 <li>
 Strong systems thinking, understanding how models behave in real-world environments
 </li>
 <li>
 Curiosity and commitment to continuous learning in a fast-evolving AI landscape
 </li>
 <li>
 Proactivity is key - not just a task doer
 
 
 </li>
 </ul>
 
 Collaboration &amp; Communication
 
 
 
 <ul>
 <li>
 Comfortable working in cross-functional, product-driven teams
 </li>
 <li>
 Able to clearly document and explain technical concepts to diverse stakeholders
 
 
 </li>
 </ul>
 
 Nice to Have
 
 
 
 <ul>
 <li>
 Experience with NLP, conversational AI, or agent-based systems
 </li>
 <li>
 Exposure to enterprise AI deployments or SaaS platforms
 </li>
 <li>
 Familiarity with MLOps, monitoring, and model lifecycle management
 </li>
 <li>
 Experience working with multilingual or Arabic language data
 
 
 </li>
 </ul>
 
 Why Join Lucidya's AI Agents Team?
 
 
 
 <ul>
 <li>
 Work on real, enterprise-grade AI agents, not just experiments
 </li>
 <li>
 Shape a new business unit from the ground up
 </li>
 <li>
 Solve meaningful CX and operational challenges across the MENA region
 </li>
 <li>
 Collaborate with a highly skilled AI, data, and product team
 </li>
 <li>
 Build AI that is responsible, scalable, and impactful
 </li>
 </ul>
</div>

AI Engineer (mid-level/senior)

InVitro Capital

<div>
 
 
 About InVitro Capital:
 
 
 
 
 
 
 InVitro Capital is a U.S.-based venture studio and fund. We build and fund companies from idea to exit, focusing on technology-driven businesses that solve real-world problems. Our portfolio spans healthcare, home services, and sales technology.
 
 
 Our engineering philosophy is simple: small senior teams, extreme ownership, hands-on builders, and AI-native products. We do not bolt AI onto products &mdash; we design AI-native systems from day one.
 
 
 We operate with a builder culture where engineers have end-to-end responsibility for launching and scaling AI-powered products across the studio.
 
 
 
 
 
 
 Role Overview:
 
 
 
 
 
 
 We are looking for an exceptionally strong Tech Lead (AI + Full Stack) who codes every day and leads through architecture, execution, and example. This role is designed for elite senior builders who thrive in zero-to-one environments, enjoy solving complex problems, and can ship production-grade systems quickly.
 
 
 This is a full-stack tech lead role first: you will architect and ship end-to-end product systems (backend + frontend collaboration), and you must also be strong enough in AI/ML to build and productionize AI capabilities inside those systems.
 
 
 
 
 
 You will:
 
 <ul>
 <li>
 Architect core systems
 </li>
 <li>
 Build them with your own hands
 </li>
 <li>
 Integrate AI tooling &amp; agents
 </li>
 <li>
 Mentor engineers through technical leadership
 </li>
 <li>
 Drive engineering excellence across multiple ventures
 </li>
 </ul>
 
 This is not a people-management role &mdash; it is a high-impact IC leadership role.
 
 
 
 
 
 
 What You'll Do:
 
 
 
 
 
 
 
 Build &amp; Lead With Technical Depth (70-90% hands-on)
 
 
 <ul>
 <li>
 Architect, build, and ship backend and full-stack systems end to end.
 </li>
 <li>
 Lead engineers through code reviews, architecture reviews, and solid technical decision-making.
 </li>
 <li>
 Own engineering execution across multiple ventures.
 </li>
 </ul>
 
 
 
 
 
 Design Scalable, AI-Native Architectures
 
 
 <ul>
 <li>
 Build modular APIs, distributed systems.
 </li>
 <li>
 Embed AI capabilities into product systems (LLMs and/or domain AI like NLP/CV) in a way that is secure, observable, reliable, and scalable.
 </li>
 <li>
 Design and implement retrieval workflows (RAG), evaluation/guardrails, and agent/tool orchestration where they add real product value.
 </li>
 <li>
 Work with Python, OpenAI, Anthropic, LangGraph, LangChain, LlamaIndex, vector databases, and agent toolchains.
 </li>
 </ul>
 
 
 
 
 
 Engineer With Excellence
 
 
 <ul>
 <li>
 Write high-performance, production-grade code in Python (primary) for backend services and AI/ML systems.
 </li>
 <li>
 Build and productionize ML/AI components (training/inference pipelines, model serving, and integrations) with strong engineering discipline.
 </li>
 <li>
 Build systems optimized for reliability, performance, and observability.
 </li>
 </ul>
 
 
 
 
 
 Full-Stack Ownership
 
 
 <ul>
 <li>
 Collaborate with frontend engineers to deliver seamless end-to-end experiences.
 </li>
 <li>
 Design clean APIs, interfaces, and developer workflows.
 </li>
 </ul>
 
 
 
 
 
 DevOps + Cloud Execution
 
 
 <ul>
 <li>
 Manage CI/CD pipelines and cloud deployments on AWS.
 </li>
 <li>
 Kubernetes is a strong plus; AWS + Docker + CI/CD and production deployment ownership are required.
 </li>
 <li>
 Ensure systems are scalable, fault-tolerant, secure, and well-instrumented.
 </li>
 <li>
 Own production deployments of AI/ML components (model serving, monitoring, and lifecycle workflows) alongside the core application stack.
 </li>
 </ul>
 
 
 
 
 
 Technical Leadership &amp; Mentorship
 
 
 <ul>
 <li>
 Mentor engineers and uplift technical standards across the stack.
 </li>
 <li>
 Provide architectural direction and guide complex technical initiatives.
 </li>
 <li>
 Contribute to hiring and shaping engineering culture.
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 
 
 
 
 
 
 Required:
 
 
 <ul>
 <li>
 Professional Engineering Experience &mdash; 12+ years building and shipping production-grade systems.
 </li>
 <li>
 Python Expertise (FastAPI or similar, production) &mdash; async services, Pydantic models, you write Python daily.
 </li>
 <li>
 Backend/System Architecture Ownership &mdash; you've owned system design decisions, led code reviews, mentored engineers, and shipped end-to-end systems as a senior IC or tech lead.
 </li>
 <li>
 Core ML / Deep Learning (hands-on) &mdash; built ML/DL systems using PyTorch or TensorFlow; understand training, evaluation, optimization.
 </li>
 <li>
 Production ML Deployment / MLOps &mdash; deployed ML systems to production; owned monitoring, versioning, rollback strategies, lifecycle management.
 </li>
 <li>
 Applied AI Systems Experience &mdash; shipped AI-powered features using LLMs and/or applied NLP/CV in real products (not experimentation only).
 </li>
 <li>
 PostgreSQL &mdash; schema design, query optimization, migrations.
 </li>
 <li>
 Cloud + Delivery &mdash; AWS + Docker + CI/CD; production deployments and operational ownership.
 </li>
 <li>
 REST API Design &mdash; clean interfaces serving multiple clients (web, mobile, service-to-service).
 </li>
 <li>
 Startup Execution &mdash; experience in fast-paced, high-ownership environments.
 </li>
 </ul>
 
 
 
 
 
 Strong Plus:
 
 
 <ul>
 <li>
 Ruby on Rails (production) &mdash; built and maintained real Rails APIs with background jobs (e.g., Sidekiq), webhooks, and complex domain logic.
 </li>
 <li>
 Kubernetes (production) &mdash; EKS (or equivalent), Kubernetes-based deployments, operational ownership.
 </li>
 <li>
 GenAI Depth &mdash; experience designing RAG systems, prompt strategies, fine-tuning workflows, and evaluation/guardrails.
 </li>
 <li>
 Retrieval &amp; Vector Systems &mdash; vector databases (Pinecone, Weaviate, or similar), embedding strategies, namespace/tenancy design, reranking.
 </li>
 <li>
 Agent Orchestration &mdash; multi-agent patterns, tool use, chain composition (CrewAI, LangGraph, or similar).
 </li>
 <li>
 AI Tooling Ecosystem &mdash; LangChain, LlamaIndex, Hugging Face, or similar; LLM observability/tracing (LangSmith or equivalent).
 </li>
 <li>
 Full-Stack Fluency &mdash; strong collaboration with frontend teams to ship end-to-end product experiences; clean API contracts.
 </li>
 <li>
 React 19 (JavaScript) &mdash; Redux Toolkit, RTK Query, Vite, shadcn/ui.
 </li>
 <li>
 Flutter/Dart &mdash; mobile app development, BLoC pattern, Clean Architecture.
 </li>
 <li>
 Firebase/Firestore &mdash; real-time sync, Cloud Functions.
 </li>
 <li>
 Stripe &mdash; payment processing, webhook-driven architecture, Connect.
 </li>
 <li>
 MongoDB &mdash; document modeling; async drivers (Motor) is a plus.
 </li>
 <li>
 Multimodal AI &mdash; vision models; real-time audio/video AI (LiveKit, OpenAI Realtime API).
 </li>
 <li>
 Redis + Sidekiq &mdash; background job processing, caching.
 </li>
 <li>
 0&rarr;1 / Venture Studio Experience &mdash; building products from scratch in multi-product, high-velocity environments.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 What We Offer
 
 
 <ul>
 <li>
 Compensation: $4,000-$5,000 USD/month base + bonus
 </li>
 <li>
 Health insurance
 </li>
 <li>
 Social insurance
 </li>
 <li>
 Paid Time Off (PTO)
 </li>
 <li>
 High ownership and autonomy
 </li>
 <li>
 Opportunity to build multiple AI-powered products from scratch
 </li>
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 A culture optimized for speed, impact, and technical excellence
 </li>
 </ul>
 
 
 
 
 
 Schedule &amp; Work Setup
 
 
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 <li>
 Cairo-based candidates preferred
 </li>
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 Hybrid: expected at the Cairo office at least once per week
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 Monday-Friday, aligned with U.S. Pacific Time
 </li>
 <li>
 High-autonomy, high-velocity engineering environment
 </li>
 </ul>
</div>

Tech Lead (AI + Full Stack/ Python) - Hands-On Builder

Microsoft

<div>
 
 Overview
 
 
 
 With more than 45,000 employees and partners worldwide, the Customer Experience and Success (CE&amp;S) organization is on a mission to empower customers to accelerate business value through differentiated customer experiences that leverage Microsoft&rsquo;s products and services, ignited by our people and culture. We drive cross-company alignment and execution, ensuring that we consistently exceed customers&rsquo; expectations in every interaction, whether in-product, digital, or human-centered. CE&amp;S is responsible for all up services across the company, including consulting, customer success, and support across Microsoft&rsquo;s portfolio of solutions and products. Join CE&amp;S and help us accelerate AI transformation for our customers and the world.
 
 
 Within CE&amp;S, the Customer Service &amp; Support (CSS) organization builds trust and confidence for every person and organization through delivering a seamless support experience. In CSS, we are powered by Microsoft&rsquo;s AI technology to help consumers, businesses, partners, and more, resolve their issues quickly and securely, helping prevent future problems from occurring and achieving more from their Microsoft investment.
 
 
 In the Customer Service &amp; Support (CSS) team we are looking for people with a passion for delivering customer success. As a Senior Technical Support Engineer, you will own, troubleshoot, and solve complex customer technical issues. This opportunity will allow you to accelerate your career growth, hone your problem-solving, collaboration and research skills, and deepen your technical proficiency.
 
 
 Microsoft&rsquo;s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Response and Resolution: You own, investigate, and solve complex customer technical issues and act as an advisor to the customer, collaborating within and across teams, leveraging troubleshooting tools and practices.
 </li>
 <li>
 Readiness: You lead in building communities with peer delivery roles and share your knowledge through readiness programs, technical coaching and mentoring of others.
 </li>
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 You deepen your technical and professional proficiency to enable you to resolve complex customer issues, through training and readiness.
 </li>
 <li>
 Product/Process Improvement: You engage with Microsoft Engineering/ Supportability teams to investigate potential product defects and help develop automation techniques and diagnostic tools, driving Microsoft product improvements.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 Required Qualifications:
 
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Information Technology (IT), or related field AND 1+ years of technical support, technical consulting experience, or information technology experience OR 3+ years of technical support, technical consulting experience, or information technology experience.
 </li>
 <li>
 OR equivalent experience
 </li>
 <li>
 Demonstrated ability to troubleshoot complex technical issues involving multiple components, using tools such as event logs and performance traces.
 </li>
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 Experience working in customer-facing roles with a focus on issue resolution, transparency, and customer satisfaction.
 </li>
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 Familiarity with Microsoft platforms and products, including Windows client technologies and support tooling.
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 Exposure to product feedback loops, including identifying defects and contributing to product or process improvement initiatives.
 </li>
 <li>
 Ability to work effectively in a global support environment, including participation in triage meetings and collaboration with engineering and serviceability teams.
 
 
 </li>
 </ul>
 
 Hands-on Experience With Enterprise Windows Technologies, Including
 
 
 
 <ul>
 <li>
 Microsoft APP-V
 </li>
 <li>
 Remote Desktop Services (RDS)
 </li>
 <li>
 Azure Virtual Desktop (AVD)
 </li>
 <li>
 Windows 365 / Cloud PC
 </li>
 <li>
 Server Manager
 </li>
 <li>
 PowerShell scripting and automation
 
 
 </li>
 </ul>
 
 Language Qualification
 
 
 
 English Language: confident in reading, writing and speaking OR
 
 
 Fluent in German, French, Italian and confident in reading, writing and speaking English.
 
 
 Ability to meet Microsoft, customer and / or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire / transfer and every two years thereafter.
 
 
 This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
 
 
 Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about
 
 requesting accommodations.
 
</div>

Technical Support Engineer - Windows User Experience

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