What You'll Do - As an engineer in Careem, you'll build and maintain Kafka clusters and its corresponding ecosystem required to ensure resilience, reliability, and scalability of our services and speed up deployments with the aim of improving our products used by millions of customers every day. - Make an impact from the design phase, through the development and operation of the Storage cluster and its ecosystem on AWS Build support, tooling and create technical processes that simplify and enable engineers across multiple services Identifying and automating and scaling systems without compromising on security and reliability. - Participate in on-call rotations and help improve incident response. What You'll Need - 5+ years of related experience. - Expertise and experience in developing, operating, and troubleshooting storage clusters and/or other highly available systems at scale. - Experience of running Kafka on Kubernetes. - Good experience of one or more programming languages: Go, Python, Java, Groovy, Scala, Ruby. - Experience with Cloud Infrastructure (AWS preferred). - Experience with infrastructure automation (Infrastructure as Code) Strong Unix or Linux background, including topics around network stack and scripting Incident response and/or incident management experience is a plus. - Experience in other automation topics such as monitoring, CI/CD, and security is a plus.

About the JobAs an Analytics & Automation Lead will work within the Operational Excellence team at Careem, you will play a pivotal role in driving automation efforts, transforming data into actionable insights, writing Python and SQL codes to extract and analyze data, and developing interactive dashboards. Additionally, you will lead visual management efforts to ensure data is presented effectively to stakeholders at various levels. What you'll do Data Extraction and Analysis: Write Python and SQL codes to extract, transform and analyze data from various sources Perform exploratory data analysis to identify trends, patterns and anomalies Dashboard Development: Developing visually engaging and interactive dashboards using tools like Tableau, Power BI or similar platforms Collaborate with cross-functional teams to gather requirements and design dashboards for informed decision-making Automation Leadership: Drive automation efforts to reduce manual efforts to streamline data collection, reporting, and analysis processes Identify opportunities to improve efficiency and streamline data workflows Visual Management: Lead visual management initiatives to effectively communicate data insights through visualizing key performance metrics and indicators in real-time, enabling teams to track progress, identify issues, and make data-driven adjustments Mentor team member on best practices in data visualization Data Quality Assurance: Ensure data accuracy and integrity by implementing data quality checks and validation processes Creation of documentation for data-related processes and workflows Reporting and Communication: Generate regular reports and communicate data findings to both technical and non-technical stakeholders Translate complex data into understandable insights What you'll need Bachelor's degree in Computer Science, Data Science, or a related field (Master's preferred) 2-3 years of work experience in relevant field Proficiency in Python and SQL for data extraction, transformation, and analysis Strong experience in creating interactive dashboards using tools like Tableau, Power BI, or similar Predictive Analytics experience Proven ability to lead automation efforts and optimize data workflows Excellent data visualization skills and a knack for storytelling with data Knowledge of data quality best practices and data governance Strong problem-solving skills and attention to detail Effective communication and presentation abilities Project management skills and the ability to meet deadlines Where you'll be Even though we are working remotely, we are strong believers in collaboration and the power of building social connections with our teams. For that reason, our offices are still open and provide plenty of collaboration-friendly spaces at times when teams need it or if you need a quiet space to work outside of home. You ll be working in the location you re hired from. Due to legal and compensation considerations, you will need to be based out of the country you re hired from as your primary work location.

JOB PURPOSEThe Senior Product Marketing Ops Specialist, will lead the content management process solving for excellence in execution and ensuring we are launching the best quality content aligned with guidelines managing our Content Management Systems. Will guide the content execution process and support the development and maintenance of the Content Management Systems. Strong CRM know-how, technical knowledge on CMS, JIRA, Braze, general understanding of Brand/Creative guidelines are essential. The ability to problem-solve and communicate effectively with a wide range of stakeholders and exceptional process & time management skills are required. KEY ACCOUNTABILITIES Lead the excellence in execution of the content framework to ensure the best quality of content is launched. Lead on the advocacy and implementation of the content guidelines and processes within the CMS across all market POCs. Lead on the development of the content management to support new requirements and/or developments within our tools and guidelines. Develop the knowledge and understanding of the CMS across users to enable them to be self sufficient, and to champion the CMS across the wider business to maximise the impact of the CMS on creating efficiencies across our business practices. Proactively monitor users activity within the CMS and lead on troubleshooting any issues within the CMS. Support the Central Growth and Product teams with A/B experiment QUALIFICATIONS AND EXPERIENCE Min 2-3 years of relevant experience on CMS / CRM tools management Systems administration experience with Slack, JIRA, and Braze. Having an aesthetic eye in assessing creative content Ability to communicate effectively with both technical and non-technical stakeholders Experience with working in an agile environment Exceptional organisation skills and proven ability to deliver multiple tasks under tight deadlines Ability to prioritise, meet deadlines, and be adaptable to change. Strong initiative, problem-solving skills and the ability to work independently to get things done. English proficiency

About the teamThe Careem Data Science team s mission is to drive competitive value from data at scale by building AI models to optimize user experiences, decision-making, and operational efficiencies, and lead the region s AI ecosystem. As one of the tech leaders in this team, you will be at the forefront of fulfilling this mission. You will be working with the top data science talent of the region while innovating on our user experience using GenAI.What you'll do• Collaborate in building a long-term vision of how we can rethink GenAI at Careem• Drive exploratory analysis to understand the ecosystem, and user behavior; identify new levers to help move metrics and build models of user behaviors for analysis and product enhancements using GenAI• Shape and influence models and instrumentation to optimize the product experience and generate insights on new areas of opportunity and new products.• Provide product leadership by sharing data-based recommendations to communicate the state of business, the root cause of change in metrics, and experimentation results influencing product and business decision• Implement scalable machine learning GenAI solution that will be used in production on big data.• Design and run randomized controlled experiments, analyze the resulting data and communicate results with other teams.• You will always challenge the status quo and continually investigate new data processing technologies and seek to ensure that we follow the industry best practices.• Build and deploy retrieval augmented generation systems and other applications of large language models.• Collaborate with cross-functional teams including data scientists, product managers, and domain experts to deliver AI-driven solutions.What you'll need• 4-6 years of experience in machine learning, software engineering, Big Data methodologies, transformation and cleaning of both structured and unstructured data.• Advanced degree in a quantitative discipline such as Physics, Statistics, Mathematics, Engineering or Computer Science.• Strong understanding of transformer architectures, attention mechanisms, and recent advancements in Large Language Models (LLMs)• Experience with advanced prompting techniques, including Chain of Thought (CoT) prompting, in-context learning, and few-shot learning.• Proficiency in using LangChain and LangChain Expression Language (LCEL) for building complex pipelines and workflows with LLMs.• Experience in developing observable LLM-powered compound systems through tracing to monitor performance and behavior in production environments.• Experience with one of the following machine learning frameworks: PyTorch or TensorFlow.• Knowledge of distributed training frameworks (e.g., DeepSpeed, Megatron-LM) and optimizing model performance using techniques like mixed-precision training, gradient checkpointing, and model parallelism would be advantageous.• Experience with sequence-to-sequence models, self-supervised learning techniques, and understanding NLP concepts such as tokenization, parsing, and semantic analysis.• Proficiency in creating scalable and maintainable APIs using FastAPI or similar frameworks.• Strong understanding of good software engineering practices, including code versioning (e.g., Git), CI/CD pipelines, and automated testing.• Experience with both SQL and NoSQL databases for managing training data and model artifacts.• Proficiency in Python, SQL, and familiarity with data processing frameworks like Spark and Hive.• Knowledge of classic ML and DLWhat we ll provide youWe offer colleagues the opportunity to drive impact in the region while they learn and grow. As a full time Careem colleague, you will be able to:• Work and learn from great minds by joining a community of inspiring colleagues.• Put your passion to work in a purposeful organisation dedicated to creating impact in a region with a lot of untapped potential.• Explore new opportunities to learn and grow every day.• Work 4 days a week in office & 1 day from home, and remotely from any country in the world for 30 days a year with unlimited vacation days per year. (If you are in an individual contributor role in tech, you will have 2 office days a week and 3 to work from home.) • Access to healthcare benefits and fitness reimbursements for health activities including gym, health club, and training classes.

About the roleAs the Senior Manager for Growth , you will be responsible for overseeing the user journey, ensuring optimal performance across all stages of the funnel. Your role will involve running experiments to understand the factors impacting health metrics, building and maintaining dashboards for visibility on key metrics, and frequently analyzing user behaviors and trends. You will lead a team of data analytics professionals and collaborate with cross-functional teams to drive growth and improve user experienceWhat you'll doLeadership & Team Management:• Lead and mentor a team of data analysts, fostering a collaborative and high-performance work environment.• Provide guidance and support to team members, ensuring alignment with company goals and objectives.Experimentation & Analysis:• Design, implement, and analyze experiments to identify what impacts the health metrics across the entire user funnel.• Develop hypotheses, run A/B tests, and interpret results to inform strategies for user acquisition, retention, and engagement.Dashboard Development:• Build and maintain comprehensive dashboards that provide real-time visibility into key health metrics across the user journey.• Ensure dashboards are user-friendly and accessible to stakeholders across the organization.Behavioral Insights:• Conduct in-depth analysis of user behavior and trends to identify opportunities for improving user experience and engagement.• Utilize data analytics tools to uncover insights and present findings to senior leadership.Strategy & Execution:• Collaborate with product, marketing, and data science teams to develop and execute strategies aimed at improving the health metrics at all stages of the user funnel.• Drive initiatives that enhance user acquisition, activation, retention, and overall engagement.Reporting & Communication:• Regularly report on key metrics and progress to senior management and other stakeholders.• Communicate complex data insights in a clear and actionable manner.What we ll provide youWe offer colleagues the opportunity to drive impact in the region while they learn and grow. As a full time Careem colleague, you will be able to:• Work and learn from great minds by joining a community of inspiring colleagues.• Put your passion to work in a purposeful organisation dedicated to creating impact in a region with a lot of untapped potential.• Explore new opportunities to learn and grow every day.• Work 4 days a week in office & 1 day from home, and remotely from any country in the world for 30 days a year with unlimited vacation days per year. (If you are in an individual contributor role in tech, you will have 2 office days a week and 3 to work from home.) • Access to healthcare benefits and fitness reimbursements for health activities including gym, health club, and training classes.