Python Developer Jobs - Cairo Egypt

About Lucidya<br><br>Lucidya is an AI-native platform for customer experience (CX) intelligence that helps organizations understand their customers and take action across the entire customer lifecycle.<br><br>Our platform brings together products including Social Listening, Omni Serve, Survey, and AI Agent, helping enterprise organizations across the region turn customer data into better experiences and measurable business outcomes.<br><br>As we continue to scale our products, customers, and AI capabilities, the amount of data we generate is growing rapidly. The opportunity is no longer simply to report on what happened - it's to understand why it happened, what it means, and what we should do next.<br><br>Why this role matters<br><br>We're looking for a Senior Product Analyst who can help make data a genuine part of how Product operates.<br><br>This isn't a role where you'll wait for a Product Manager to ask for a dashboard or pull a report after a decision has already been made. You'll be expected to get close to the product, understand how customers actually use it, spot patterns others may have missed, and bring insights to the table before someone asks for them.<br><br>You'll operate at two levels.<br><br>At the product and feature level, you'll help teams understand whether customers are discovering, adopting, engaging with, and getting value from what we're building. You'll identify friction, investigate unexpected behaviour, evaluate experiments, and help teams decide what to improve, scale, reposition, or stop.<br><br>At the leadership level, you'll connect those individual product signals to the bigger picture - helping leadership understand product performance, emerging opportunities, risks, and where we should invest next.<br><br>The strongest person in this role will be able to move comfortably between a SQL query, a conversation with a Product Manager, and a leadership presentation - and translate the same data into something meaningful for each audience.<br><br>What You'll Do<br><br> Turn product data into decisions. You'll go beyond reporting what happened to understand why it happened, what it means, and what Product should do differently as a result. Help teams define what success actually means. You'll work with Product Managers and other stakeholders to establish meaningful KPIs, success metrics, and measurement plans before features and initiatives are launched. Understand how customers use our products. You'll analyse journeys, funnels, cohorts, adoption, engagement, retention, churn, and behavioural patterns to identify where customers are succeeding and where they're getting stuck. Evaluate whether our products are delivering value. You'll assess feature performance and help teams make evidence-based decisions about whether to improve, scale, reposition, or discontinue initiatives. Bring insights into product discovery. You'll use quantitative evidence alongside customer, product, and market context to help teams understand which problems are worth solving and where the biggest opportunities exist. Challenge assumptions with evidence. When a team believes a feature is working, adoption is strong, or customers are behaving a certain way, you'll be comfortable asking, "What does the data actually tell us?" — constructively and without creating friction. Identify opportunities before you're asked. You won't wait for a stakeholder to request a report. You'll proactively investigate anomalies, emerging trends, underperforming areas, and changes in customer behaviour and bring forward the ones that matter. Support experimentation. You'll help teams define hypotheses, success criteria, and measurement approaches, then analyse experiments and A/B tests to determine what the evidence tells us. Make complex analysis easy to understand. You'll turn large datasets and complicated analysis into clear stories, visualisations, recommendations, and decisions that make sense to both technical and non-technical audiences. Give leadership a clear view of product performance. You'll create reporting that connects detailed product and feature performance to broader business objectives, highlighting progress, drivers, risks, and recommended actions rather than simply presenting numbers. Help Product become more self-sufficient with data. You'll build repeatable analytical frameworks, dashboards, documentation, and self-service resources so teams don't need to come to you for every question. Raise data literacy across Product. You'll coach Product Managers on metrics, analysis, and interpretation, and use workshops, office hours, and day-to-day collaboration to make better use of data part of how the team works. Build trust across teams. You'll work closely with Product, Design, Engineering, and business stakeholders and influence decisions without relying on formal authority<br><br>What Success Looks Like<br><br>In your first 3-6 months, you'll be building trust. Product teams know you as someone who understands the product, asks the right questions, and brings useful insights rather than simply producing reports.<br><br>As you establish yourself, you'll start changing how decisions are made. Product Managers are defining meaningful success metrics earlier, teams are using evidence to evaluate their decisions, and you're proactively surfacing opportunities and risks rather than responding to reporting requests.<br><br>Ultimately, success means Product becomes more intelligent. Leadership has a clear view of what's driving product performance, teams understand why customers behave the way they do, and decisions about priorities and investment are increasingly based on evidence rather than assumptions.<br><br>The shift we're looking for is simple:<br><br>From "What happened?" → "Why did it happen?" → "What should we do about it?"<br><br>Requirements<br><br>Who You Are<br><br> You're naturally curious. When you see an unexpected number, you don't just add it to a report — you want to know what's behind it. You think commercially, not just analytically. You understand that an interesting insight isn't necessarily a useful one. You can connect product behaviour to customer value, business performance, and investment decisions. You don't need to be given the question. You're comfortable starting with an ambiguous problem, figuring out what needs to be understood, and determining what analysis will actually help answer it. You can zoom in and out. You can spend time investigating why a particular feature's adoption dropped while still understanding how that finding connects to the wider product strategy. You're willing to challenge people. You don't simply validate what a stakeholder already believes. You're comfortable presenting evidence that contradicts an assumption, while doing so in a way that builds trust rather than defensiveness. You know that being right isn't enough. Your analysis only creates value if people understand it and act on it. You can turn complex findings into a simple story and a clear recommendation. You're a strong communicator. You can explain an analytical finding to a Product Manager, work through the technical detail with an Engineer, and present the business implication to leadership. You're proactive and self-directed. You don't wait for a ticket to appear in your queue. You notice something worth investigating and take ownership of finding out what it means. You're comfortable with ambiguity and a changing environment. Not every question will have a clean dataset or obvious answer. You know how to work with imperfect information while being transparent about its limitations. You have 4+ years of experience in product analytics, digital analytics, business intelligence, or a closely related field, with experience working directly with digital Product teams. You're technically strong. You can independently use SQL to explore and analyse large datasets and are comfortable working with product analytics or business intelligence platforms such as Mixpanel, Heap, Pendo, Metabase, Amplitude, Looker, Tableau, Power BI, or similar tools. You understand product metrics deeply, including funnels, journeys, cohorts, retention, engagement, adoption, churn, and customer behaviour. You can translate ambiguous business questions into structured analysis and understand the difference between finding a correlation and understanding what it actually means. You're comfortable working remotely and can communicate effectively across teams without relying on being in the same room. You have professional working proficiency in English. <br><br>Nice to Have<br><br> Experience designing or evaluating A/B tests and experiments. Experience with statistical analysis. Familiarity with modern data stacks, data warehouses, transformation tools, event tracking, analytics instrumentation, or data governance. Experience building or improving a product analytics function or data culture. Experience presenting product recommendations to senior leadership. Working knowledge of Python or R. Experience working with B2B Saa S, enterprise products, AI products, or complex data-driven platforms. <br><br>What the hiring process will look like<br><br> Recruiter screening — An initial conversation about your experience, motivations, and what you're looking for next. Analytics interview — A deeper discussion around your product analytics experience, technical capability, and how you approach ambiguous analytical problems. Case study / analytical exercise — You'll be given a product or business problem and asked to analyse the available information, identify the key insights, and explain what you would recommend. Presentation Interview — You'll meet Product and/or business stakeholders to explore how you communicate insights, challenge assumptions, and influence decisions based on the case study. Leadership / culture interview — A final conversation focused on how you operate, collaborate, handle ambiguity, and contribute to a high-performing team

<p style=\"text-align:left\"><b>Job Location</b></p>CAIRO BUSINESS OFFICE<p style=\"text-align:inherit\"></p><p style=\"text-align:left\"><b>Job Description</b></p><p><b>Unlock the Power of Data – Join Our Consumer & Market Knowledge Team!</b></p><p></p><p>Are you a budding analytical talent eager to dive into the world of consumer insights and shape the future of beloved brands? Do you thrive on transforming data into actionable strategies that make a real-world impact? If so, we want to hear from you!</p><p></p><p>We're looking for a passionate and curious <b>Entry-Level Data Analyst</b> to join our dynamic Consumer & Market Knowledge (CMK) team. This isn't just about crunching numbers; it's about understanding people, driving growth, and helping P&G stay at the forefront of consumer innovation. This role offers an unparalleled opportunity to launch your career, providing hands-on experience and direct mentorship as you contribute to projects that directly influence brand strategies and market execution.</p><p></p><p>As an Entry-Level Data Analyst within our CMK team, you will play a crucial supporting role in executing strategies and participating in the development and implementation of new ideas, techniques, and procedures. You will focus on clearly defined objectives, helping to translate complex data into actionable insights that fuel our business.</p><p></p><p><b>In this role, you will:</b></p><ul><li><p><b>Shape Growth Strategies:</b> Support the identification of retailer and shopper insights that drive growth into our brands and joint business plans.</p></li><li><p><b>Activate Insights:</b> Help translate cross-category learnings into pragmatic in-store, CRM/SBD, and media activations.</p></li><li><p><b>Build Partnerships:</b> Contribute to data-based thought leadership, helping to position P&G as a preferred partner with customers and retailers.</p></li><li><p><b>Uncover Opportunities:</b> Provide market-level insights to build consumer understanding and enable effective brand plan activation across markets, regions, and globally.</p></li><li><p><b>Drive Execution:</b></p><ul><li><p>Assist in shaping integrated brand plans and execution choices for key customers/channels, ensuring alignment with market-specific requirements.</p></li><li><p>Support the optimization of key business drivers, track in-market innovation, and contribute to consumer foundations work.</p></li><li><p>Summarize local consumer/shopper insights and help monitor and optimize in-store execution using corporate tools and regional strategies.</p></li></ul></li><li><p><b>Fuel Innovation:</b></p><ul><li><p>Combine analytics and consumer understanding to identify key business drivers and unmet needs.</p></li><li><p>Support the development and execution of category innovation learning plans, translating insights into upstream innovation concepts.</p></li></ul></li></ul><p>Execute learning plans for key markets and contribute insights that inform our integrated brand plans and innovation focus.</p><p style=\"text-align:inherit\"></p><p style=\"text-align:left\"><b>Job Qualifications</b></p><p>To thrive in this role, you will bring:</p><ul><li><p><b>Education:</b> A Bachelor's degree in Business, Marketing, Economics, Statistics, Data Science, or a related analytical field.</p></li><li><p><b>Experience:</b> 2-3 years maximum of prior experience in market research, consumer insights, data analysis, or a related analytical role is required.</p></li><li><p><b>Analytical Prowess:</b> Strong analytical skills with a proven ability to collect, organize, and analyze significant amounts of information and data with exceptional attention to detail and accuracy.</p></li><li><p><b>Technical Skills:</b> Proficiency in data analysis tools and software such as <b>SQL</b>, <b>Power BI, Data Modeling, Machine Learning, and Python is a plus.</b></p></li><li><p><b>Communication & Collaboration:</b> Excellent English communication skills (written and verbal) and a proven ability to work effectively and collaboratively within a team.</p></li><li><p><b>Learning Agility:</b> Able to work effectively under direct supervision, follow well-defined precedents and policies, and demonstrate a proactive desire to develop new knowledge and skills for current and future job requirements.</p></li><li><p><b>Curiosity:</b> A genuine passion for understanding consumer behavior and market trends</p><p><b>What We Offer:</b></p></li><li><p><b>Accelerated Learning:</b> A dynamic entry-level role with significant opportunities for hands-on experience and professional development.</p></li><li><p><b>Real Impact:</b> Contribute to projects that directly shape the strategies and success of world-renowned brands.</p></li><li><p><b>Diverse Exposure:</b> Gain experience across a wide range of consumer data, analytical techniques, and market categories.</p></li><li><p><b>Collaborative Environment:</b> Work within a supportive and innovative team that values fresh perspectives.</p></li><li><p><b>Mentorship & Growth:</b> Benefit from guidance and mentorship from experienced professionals in the CMK field, setting a strong foundation for your career.</p></li></ul><p></p><p><b>About us</b></p><p>We produce globally recognized brands and we grow the best business leaders in the industry. With a portfolio of trusted brands as diverse as ours, it is paramount our leaders are able to lead with courage the vast array of brands, categories and functions. We serve consumers around the world with one of the strongest portfolios of trusted, quality, leadership brands, including Always®, Ariel®, Gillette®, Head & Shoulders®, Herbal Essences®, Oral-B®, Pampers®, Pantene®, Tampax® and more. Our community includes operations in approximately 70 countries worldwide. Visit <a href=\"http://www.pg.com/\" target=\"_blank\">http://www.pg.com</a> to know more.</p><p></p><p>Our consumers are diverse and our talents - internally - mirror this diversity to best serve it. That is why we’re committed to building a winning culture based on Inclusion and our ideal candidate is passionate about the same principle: you will join our daily effort of being “in touch” so we craft brands and products to improve the lives of the world’s consumers now and in the future. We want you to inspire us with your unrivaled ideas.</p><p>We are committed to providing equal opportunities in employment. We do not discriminate against individuals on the basis of race, color, gender, age, national origin, religion, sexual orientation, gender identity or expression, marital status, citizenship, disability, veteran status, HIV/AIDS status, or any other legally p</p><p></p><p style=\"text-align:inherit\"></p><p style=\"text-align:left\"><b>Job Schedule</b></p>Full time<p style=\"text-align:inherit\"></p><p style=\"text-align:left\"><b>Job Number</b></p>R000155224<p style=\"text-align:inherit\"></p><p style=\"text-align:left\"><b>Job Segmentation</b></p>Entry Level

AI Team Lead — Predictive Complications (Maternal & Fetal Health) Gravi Log is rebuilding pregnancy care through AI-powered risk prediction, EMR integration, and personalized nutrition. Our mission: catch avoidable complications before they become emergencies, for mothers and babies worldwide. ❤️<br>We're looking for an AI Team Lead to own the models that turn gathered symptoms into real-time risk predictions — the core of what makes Gravi Log work. This is a remote, flexible, part-time role (currently unpaid, with a path to paid upon traction and investment), leading a small team of developers and working directly alongside our clinical advisors.<br>What you'll own:Predictive models for maternal/fetal risk from patient-reported symptoms and health data Model validation — false-negative vs. false-positive tradeoffs matter here in a way they don't in most ML work; a missed complication is not an acceptable error Working directly with our OB/GYN advisor and clinical dietitian to sanity-check model outputs against real clinical judgment Guiding and reviewing the work of contributing developers.<br>We strongly prefer:A medical background (MD, medical data science, clinical research) or several years working AI/ML specifically in a healthcare or clinical-risk context — not general ML leadership Experience with health data standards (FHIR, HL7, or equivalent) and the realities of working with regulated patient data A track record of shipping models into production, not just research.<br>Toolkit:Python (ML/LLMs), cloud deployment (GCP/Vertex AI a plus) Experience validating models for high-stakes/regulated predictions Linux/Unix environments a plus.<br>Why join us:Shape the AI core of a maternal health product with real traction (350K+ downloads, 100+ countries, Mass Challenge Boston winner) Be part of international teams- from different countires and different cultures. Flexible, remote, part-time — currently unpaid, with upside as we close funding & have traction Be part of a team solving a problem that costs lives when done wrong<br>???? If you've built or validated risk models where getting it wrong has real consequences — this is your seat. Apply, DM or comment, and tag anyone who fits.<br>#AI #Healthcare AI #Maternal Health #Health Tech #Machine Learning #Pregnancy Care

Senior Agentic Developer (Remote – 1-Year Renewable Contract) Role Summary We are seeking a highly skilled Senior Agentic Developer to design, develop, and productionize autonomous, reactive, and proactive AI agents capable of reasoning, planning, memory management, collaboration, tool execution, and secure enterprise operations. This is a fully remote position offered on a 1-year renewable contract. Key Responsibilities Design, develop, and deploy reactive and proactive multi-agent systems. Build advanced agent capabilities including reasoning, planning, memory, reflection, delegation, self-recovery, and autonomous execution. Design and implement long-running, event-driven, scheduled, and goal-oriented agent workflows. Develop enterprise integrations through APIs, messaging systems, workflow platforms, and real-time communication channels. Implement governance, authorization, auditability, security controls, monitoring, and observability. Establish technical standards, ensure code quality, and provide architectural leadership and mentorship to development teams. Required Experience & Skills7+ years of software engineering experience.3+ years of experience building production-grade AI systems. Proven experience building proactive AI agents in production environments (mandatory). Proven experience designing and deploying multi-agent systems (mandatory). Expert-level proficiency in:Python Type Script Asynchronous programming Distributed systems APIsEvent-driven architectures Agent Frameworks Hands-on experience with one or more of the following:Lang Graph Llama Indexn8n Temporal LLM Platforms Strong experience with:Open AIAnthropic Meta Llama Equivalent enterprise-grade LLM platforms Memory & Knowledge Systems Deep experience designing and implementing:Retrieval-Augmented Generation (RAG) Vector Search Graph Search Semantic Retrieval Databases & Data Platforms Hands-on experience with:Pinecone Mongo DBNeo4j Postgre SQLInfrastructure & Messaging Strong production experience with:Docker Kubernetes Apache Kafka Redis Security & Governance Experience implementing:Role-Based Access Control (RBAC) Policy Enforcement Prompt Injection Defense Tool Security Auditability Observability Enterprise Integrations Experience integrating AI solutions with enterprise platforms such as:Microsoft Ecosystem Oracle SAPPreferred Qualifications Experience with on-premises and air-gapped deployments. Experience building stateful, fault-tolerant autonomous systems at enterprise scale. Strong understanding of enterprise security, compliance, and governance requirements. Experience leading technical design and architecture decisions for AI-driven platforms.

Head of Engineering<br><br>About Aggarly<br>Aggarly is building the operating system for short-term rental management in the MENA region. Our platform brings property management, reservations, channel management, guest operations, staff operations, service providers, payments and automation into one connected ecosystem. We are approaching launch and are now hiring our first full-time engineering leader. This is not a traditional engineering management position. We are looking for someone who wants to take technical ownership of a startup, work directly with the founders, remain deeply hands-on, and build the engineering team around them.<br>The Role<br>As Head of Engineering, you will become the internal technical owner of Aggarly. You will inherit an existing production-stage platform and work closely with the founding team to understand, strengthen and evolve the architecture as we launch and scale. You will be expected to write code, make architecture decisions, improve engineering standards, own deployments and infrastructure, mentor engineers, and gradually build and lead the engineering organization. For the right person, this role is intended to develop into CTO as Aggarly grows.<br>What You’ll Own<br>Technical architecture and engineering direction Backend, frontend and mobile architecture Production reliability and performance AWS infrastructure and deployment practices CI/CD and engineering workflows Security and access-control practices Code quality, testing and technical debt Technical documentation Engineering hiring and mentorship Technical evaluation of new features and integrations Incident response and production troubleshooting Working directly with the CEO on product and technical priorities You will initially be highly hands-on. We are not looking for someone who only wants to manage engineers.<br>Current Technology<br>Our platform currently includes technologies such as:Python / Django React / Next.js React Native Postgre SQLRedis AWSDocker Terraform Git Hub / CI/CDExact stack matching is less important than strong engineering fundamentals and the ability to take ownership of a complex existing product.<br>Who We’re Looking For<br>We are looking for an experienced engineer or technical leader who has:Strong full-stack software engineering experience Deep backend and systems understanding Experience shipping and operating real production software Strong knowledge of databases, APIs and distributed systems Experience with cloud infrastructure Strong understanding of software architecture and security Experience reviewing and improving existing codebases Experience mentoring or leading engineers Strong debugging and problem-solving ability Good product judgment and business understanding Experience working in fast-moving startup environments Experience with Saa S, marketplaces, fintech/payments, travel technology or property technology is a strong advantage.<br>What Matters Most<br>We care less about titles and more about ownership. We want someone who takes responsibility when something breaks, challenges weak technical decisions, communicates clearly, and is capable of building systems rather than simply completing tickets. You should be comfortable moving between architecture discussions and writing production code. This is a full-time leadership position and Aggarly must be your primary professional commitment.<br>Why Join Aggarly<br>This is an opportunity to join at a defining stage of the company. You will:Join the core founding team Have significant influence over the product and technology Work directly with the CEOBuild the engineering organization around you Help define engineering culture from the beginning Receive competitive compensation Participate in long-term equity upside Have a clear path toward becoming Aggarly’s CTO based on performance and leadership<br>Application<br>Please apply with your Linked In profile or CV. Rather than a traditional cover letter, we’d also like you to briefly tell us:What is the most technically difficult production system you have personally owned? What specifically were you responsible for? Why does joining an early-stage company at this level interest you? We are deliberately keeping the hiring process selective. This is a core leadership hire, not simply another engineering position.