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Location: Limassol, Cyprus Workplace: hybrid We are looking for an Application Security Engineer in the AppSec team. As a Senior Application Security Engineer at inDrive, you will own whole areas of our AppSec program, from security requirements and design reviews to controls that work in production. You will work with product, platform and infrastructure teams on new architecture, AI systems and the security of our apps and services. The role fits a hands-on engineer who reviews code and architecture, leads work across several teams and makes security decisions based on data. Key Responsibilities Own one or more areas of the AppSec program end to end, including the plan, the risks and the metrics. Run security design reviews and threat modeling of new features, services and AI systems, and defend security requirements at the architecture committee. Assess the security of web, mobile and API applications and find variants of confirmed vulnerabilities across other services. Coordinate external security assessments and bug bounty findings, from triage and prioritisation with teams to fix verification. Design secure authentication and authorization between users, services and internal tools together with platform teams. Choose, pilot and tune security tools, and keep only those that pay off in real findings. Turn incidents and assessment results into lasting controls, policies and secure defaults for developers. Consult development teams on complex security issues and take shifts in AppSec duty for Critical and High incidents. Skills, Knowledge and Expertise Higher education in IT, preferably in information security. Knowledge of mobile application security on Android and iOS, client-server trust, app integrity and protection against bots and account takeover. Deep knowledge of web and API security, including authentication and authorization flaws, SSRF, injections and business logic issues, and the ability to find variants of a vulnerability class across many services. Strong understanding of identity and access, OAuth 2.0, OIDC, JWT, signing key rotation, mTLS, service-to-service authentication and SSO. Understanding of security risks of AI systems and LLM agents, such as prompt injection, excessive tool permissions and agent access to sensitive data, and practical use of AI in your own security work. Practical understanding of cloud-native infrastructure, Kubernetes, containers, API gateways and AWS. Experience in threat modeling and security design review of new features and architecture. Understanding of vulnerability management and risk, including severity, SLA, compensating controls and risk acceptance. Ability to read and review code in at least one language, preferably Golang. Track record of leading projects with two or more teams from a requirement to a verified fix, and clear written English. Experience with secrets and key management, rotation and response to credential leaks. Nice to have Knowledge of software supply chain security, dependencies, CI/CD pipelines and source control platform hardening. Experience tuning SAST, DAST and SCA tools for precision and judging a tool by noise and cost per real finding. Why join us Help us challenge injustice by creating fair choices for millions of people across 47 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Annual salary from 70 700 EUR gross. Final benefits may vary depending on the location.

Location: Islamabad, Pakistan Workplace: hybrid Our AI Customer Support and Safety team is working on many areas including Computer Vision, NLP, RL etc, bringing business value to our products and improving the lives of our customers. Now we are aiming to strengthen several streams and looking for an experienced middle Machine Learning Engineer , who will help us in our journey. The primary focus for this position will be automation of the driver verification process, for which experience in computer vision is essential. Key Responsibilities Develop, deploy, and maintain machine learning models and systems Conduct in-depth data analysis, preparation, and processing Contribute to the design of ML systems, focusing on data-related aspects like annotation and processing Follow established security guidelines and identify potential risks Collaborate with peers to review and ensure designs are effective, flexible, and reusable Solve issues and provide feedback for engineering design and delivery processes Ensure that features are deployed according to requirements and operate without unintended side effects Create and maintain comprehensive documentation for models and processes Monitor and support deployed solutions to ensure they meet performance expectations Actively seek out information and internal solutions to ensure reusability and adoption of common technologies Our expectations 3+ years of experience in the Field. Previous software engineering experience is preferrable Strong proficiency in Python and its common data processing frameworks (e.g., for streaming, batch, and asynchronous data). Strong foundational knowledge in classical machine learning, deep learning, and advanced mathematics. Familiarity with MLOps principles and experience using MLOps tools for managing the ML model lifecycle. Experience with backend systems and infrastructure, and a willingness to learn new technologies (like Golang) for integration purposes. The ability to design solutions using common design patterns and various design tools. Experience in experiment design and the ability to validate the credibility of information from various sources. A solid understanding of the business value of delivered features. Strong problem-solving skills, with an emphasis on using technical facts and reasoning. Excellent communication and collaboration skills, including active listening and the ability to build consensus. A strong drive for continuous self-development and a collaborative mindset for contributing to communities. Ability to balance quality and speed depending on the case, and justify your decision Ability to explain the background and consequences of your technical decisions to non-technical stakeholders, including product and business managers English communication skills Why join us Help us challenge injustice by creating fair choices for millions of people across 47 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Final benefits may vary depending on the location.

Location: Limassol, Cyprus Workplace: hybrid We’re looking for an Engineering Manager to lead our Grocery Marketplace Experience team. The team builds the native Grocery and Food storefront in the inDrive super app: the iOS and Android experience and the mobile backend-for-frontend. In this role, you’ll hire and lead a cross-functional team of 8–9 engineers, and build high-performance, scalable systems together with them. Key Responsibilities Hire, lead and grow a cross-functional engineering team (iOS, Android, backend, QA), supporting new developers’ adaptation and career development Manage project planning, execution, and resource allocation to ensure high-quality and on-time software delivery Align engineering efforts with business goals through close collaboration with stakeholders and the other teams Develop and optimize engineering processes, tools, and technologies in collaboration with the teams Build and nurture a developer community within the company and participate in external conferences Oversee the use of core technologies, including Golang, Kubernetes and native iOS and Android development, to ensure efficient development practices Skills, Knowledge and Expertise Demonstrated experience in engineering management with a strong background in software development Solid understanding of system design, high-volume projects, server and client architecture, and development limitations Excellent leadership and communication abilities, with a talent for explaining complex technical concepts by sharing your technical expertise Ability to manage multiple projects simultaneously, ensuring timely and quality delivery Enthusiasm for new technologies and a commitment to ongoing skill development and teamwork BS/MS in Engineering, Computer Science, or a related field Experience working on Grocery, Marketplace, or other e-commerce products, with a strong understanding of their business and technical challenges Experience in managing mobile (iOS/Android) teams is a plus Why join us Help us challenge injustice by creating fair choices for millions of people across 47 countries Develop your professional skills with access to mentoring, career consulting, and learning programs Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects Work alongside people who take initiative, speak openly, and challenge themselves to grow Improve your language skills through co-financed courses and internal speaking clubs Annual salary from 90 700 EUR gross Final benefits may vary depending on the location.

Location: Cairo, Egypt Workplace: hybrid Our AI Customer Support and Safety team is working on many areas including Computer Vision, NLP, RL etc, bringing business value to our products and improving the lives of our customers. Now we are aiming to strengthen several streams and looking for an experienced middle Machine Learning Engineer , who will help us in our journey. The primary focus for this position will be automation of the driver verification process, for which experience in computer vision is essential. Key Responsibilities Develop, deploy, and maintain machine learning models and systems Conduct in-depth data analysis, preparation, and processing Contribute to the design of ML systems, focusing on data-related aspects like annotation and processing Follow established security guidelines and identify potential risks Collaborate with peers to review and ensure designs are effective, flexible, and reusable Solve issues and provide feedback for engineering design and delivery processes Ensure that features are deployed according to requirements and operate without unintended side effects Create and maintain comprehensive documentation for models and processes Monitor and support deployed solutions to ensure they meet performance expectations Actively seek out information and internal solutions to ensure reusability and adoption of common technologies Our expectations 3+ years of experience in the Field. Previous software engineering experience is preferrable Strong proficiency in Python and its common data processing frameworks (e.g., for streaming, batch, and asynchronous data). Strong foundational knowledge in classical machine learning, deep learning, and advanced mathematics. Familiarity with MLOps principles and experience using MLOps tools for managing the ML model lifecycle. Experience with backend systems and infrastructure, and a willingness to learn new technologies (like Golang) for integration purposes. The ability to design solutions using common design patterns and various design tools. Experience in experiment design and the ability to validate the credibility of information from various sources. A solid understanding of the business value of delivered features. Strong problem-solving skills, with an emphasis on using technical facts and reasoning. Excellent communication and collaboration skills, including active listening and the ability to build consensus. A strong drive for continuous self-development and a collaborative mindset for contributing to communities. Ability to balance quality and speed depending on the case, and justify your decision Ability to explain the background and consequences of your technical decisions to non-technical stakeholders, including product and business managers English communication skills Why join us Help us challenge injustice by creating fair choices for millions of people across 47 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Final benefits may vary depending on the location.

Location: Mexico City, Mexico Workplace: hybrid As a highly-regarded high-tech unicorn company, we have been making a positive global impact since 2013. Harnessing the power of innovative mobile technologies, our core product is redefining ride-hailing, while simultaneously introducing new business verticals that are propelling us toward becoming a super app. With our cutting-edge solutions and dynamic work environment, we provide a unique opportunity for individuals to contribute to our mission of combating injustice on a global scale. You will play a pivotal role in managing and expanding our Intercity business line across 13 countries in Latin America, overseeing the operations in current cities, launching new geographies and new products, and driving our key metrics improvements. You will also be engaged in various cross-functional projects affecting the Intercity business in all of our countries across the globe Please notice that CVs in English will be considered primarily. Key Responsibilities Grow our Intercity vertical across 13 countries in LATAM macro region, initiate activities and projects to reach our main business KPIs; Monitor our business metrics and improve them by launching and executing different initiatives to acquire/retain both passengers and drivers; Participate in strategy development based on market & competitors analysis for Mexico, LATAM and for the whole Intercity vertical globally Generate & validate product, marketing or operational hypothesis through A/B test to improve our product Manage cross-functional projects with other teams: Product, Analytics, Marketing, Driver’s Acquisition, Ride-hailing, Customer support etc. Conduct regular quantitative marketplace & product metrics analysis to discover inefficiencies and identify growth opportunities Launch surveys and conduct phone and field interviews with our passengers and drivers Skills, Knowledge & Expertise Bachelor's degree and/or Master's Degree in Economics/ Econometrics/ Engineering/ Mathematics/ Statistics/Business/Management 2+ years of experience in the mobility /ride-hailing/ B2B & B2C delivery, e-commerce marketplaces in a data-heavy role (business/product/marketing/ops analyst), ideally with B2C products Enjoy working with numbers and applying a data-driven approach to problem-solving Have practical work experience with analytical tools such as SQL and Excel Have experience with hypotheses generation and testing them via MVP solutions Fluent English speaker and native Spanish speaker. Ready and know how to conduct custdevs, generate and check hypotheses (we love field work and speaking with our passengers and drivers); Ready for business trips in Mexico and abroad Job Benefits Help us challenge injustice by creating fair choices for millions of people across 47 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Final benefits may vary depending on the location.

Location: Cairo, Egypt Workplace: hybrid inDrive runs many ML models across 48 countries, and the platform under them is growing fast. Teams ship to Databricks, SageMaker and self-managed GPU inference, and LLM workloads are moving into production. We are hiring a Senior Backend Engineer to build and run the services and tooling that ML teams depend on. You will write production-grade Go and Python, own your services from design to on-call, and learn the MLOps stack (Terraform, Kubernetes, Databricks, SageMaker) on the job. You will work with data scientists, ML engineers, and software and data engineers. Key Responsibilities Design, build and run backend services and internal tooling for the ML platform, in Go and Python, and own them in production: delivery, monitoring, on-call. Drive technical research and design for new platform features. Weigh trade-offs and write them down. Build and extend the deployment tooling and SDKs ML teams use to ship models, including serving, autoscaling and data capture. Integrate ML services with the wider backend: sync (HTTP, gRPC) and async (Kafka, RabbitMQ) communication, built for reliability under high load. Support the full ML delivery cycle with data scientists and ML engineers: CI/CD for models and pipelines, monitoring, and model performance metrics. Build observability end to end: metrics, logs, dashboards, tracing, alerting and runbooks. Write infrastructure as code with Terraform and Terragrunt, and ship it through reviewed pull requests. Take part in code and design reviews and help raise the engineering bar. Mentor engineers and hold AI-generated changes to the same review standard as human ones. Skills, Knowledge and Expertise 5+ years of commercial backend engineering, including high-load systems. Strong Go: you know and have used its advanced features in production. Solid Python for data processing (batch, streaming and async) and for service code. Strong SQL: schema design, indexes, query optimisation, and scaling approaches such as replication and partitioning. Experience with Redis or similar key-value stores. Experience with sync and async service communication (HTTP, gRPC, Kafka or RabbitMQ), with a focus on reliability. Docker, CI/CD pipelines, and working Kubernetes knowledge. Experience with AWS/GCP core services (compute, storage, networking, IAM). Understanding of the ML lifecycle: data preparation, model performance metrics, non-functional requirements, and concept drift in production. Familiarity with scikit-learn, PyTorch/TensorFlow. Experience designing and running observability: metrics, logging, dashboards, tracing (Prometheus, Grafana, ELK or similar). Git workflows and code review, comfortable Linux command line, and networking basics (TCP/IP, DNS, VPC, load balancers). Ability to explain a trade-off clearly to a data scientist, a product owner and an on-call engineer. Nice to have: Hands-on experience with MLOps tooling: Databricks (Unity Catalog, Asset Bundles), SageMaker, Kubeflow, MLflow or Airflow. GPU or LLM inference experience (vLLM, Triton, Langfuse). Experience using AI coding agents with full review of generated changes. Experience in emerging markets, or building where there is no playbook yet. Experience with Infrastructure-as-Code (IaC) tools Why join us Real scale and real constraints: models serving a global fleet, GPU budgets that matter, LLM workloads reaching production. A strong backend engineer can grow into the MLOps domain here. We will teach you the platform side; you bring the engineering craft. Help us challenge injustice by creating fair choices for millions of people across 48 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Final benefits may vary depending on the location.

Location: Islamabad, Pakistan Workplace: hybrid inDrive runs many ML models across 48 countries, and the platform under them is growing fast. Teams ship to Databricks, SageMaker and self-managed GPU inference, and LLM workloads are moving into production. We are hiring a Senior Backend Engineer to build and run the services and tooling that ML teams depend on. You will write production-grade Go and Python, own your services from design to on-call, and learn the MLOps stack (Terraform, Kubernetes, Databricks, SageMaker) on the job. You will work with data scientists, ML engineers, and software and data engineers. Key Responsibilities Design, build and run backend services and internal tooling for the ML platform, in Go and Python, and own them in production: delivery, monitoring, on-call. Drive technical research and design for new platform features. Weigh trade-offs and write them down. Build and extend the deployment tooling and SDKs ML teams use to ship models, including serving, autoscaling and data capture. Integrate ML services with the wider backend: sync (HTTP, gRPC) and async (Kafka, RabbitMQ) communication, built for reliability under high load. Support the full ML delivery cycle with data scientists and ML engineers: CI/CD for models and pipelines, monitoring, and model performance metrics. Build observability end to end: metrics, logs, dashboards, tracing, alerting and runbooks. Write infrastructure as code with Terraform and Terragrunt, and ship it through reviewed pull requests. Take part in code and design reviews and help raise the engineering bar. Mentor engineers and hold AI-generated changes to the same review standard as human ones. Skills, Knowledge and Expertise 5+ years of commercial backend engineering, including high-load systems. Strong Go: you know and have used its advanced features in production. Solid Python for data processing (batch, streaming and async) and for service code. Strong SQL: schema design, indexes, query optimisation, and scaling approaches such as replication and partitioning. Experience with Redis or similar key-value stores. Experience with sync and async service communication (HTTP, gRPC, Kafka or RabbitMQ), with a focus on reliability. Docker, CI/CD pipelines, and working Kubernetes knowledge. Experience with AWS/GCP core services (compute, storage, networking, IAM). Understanding of the ML lifecycle: data preparation, model performance metrics, non-functional requirements, and concept drift in production. Familiarity with scikit-learn, PyTorch/TensorFlow. Experience designing and running observability: metrics, logging, dashboards, tracing (Prometheus, Grafana, ELK or similar). Git workflows and code review, comfortable Linux command line, and networking basics (TCP/IP, DNS, VPC, load balancers). Ability to explain a trade-off clearly to a data scientist, a product owner and an on-call engineer. Nice to have: Hands-on experience with MLOps tooling: Databricks (Unity Catalog, Asset Bundles), SageMaker, Kubeflow, MLflow or Airflow. GPU or LLM inference experience (vLLM, Triton, Langfuse). Experience using AI coding agents with full review of generated changes. Experience in emerging markets, or building where there is no playbook yet. Experience with Infrastructure-as-Code (IaC) tools Why join us Real scale and real constraints: models serving a global fleet, GPU budgets that matter, LLM workloads reaching production. A strong backend engineer can grow into the MLOps domain here. We will teach you the platform side; you bring the engineering craft. Help us challenge injustice by creating fair choices for millions of people across 48 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Final benefits may vary depending on the location.

Location: Almaty, Kazakhstan Workplace: hybrid inDrive runs many ML models across 48 countries, and the platform under them is growing fast. Teams ship to Databricks, SageMaker and self-managed GPU inference, and LLM workloads are moving into production. We are hiring a Senior Backend Engineer to build and run the services and tooling that ML teams depend on. You will write production-grade Go and Python, own your services from design to on-call, and learn the MLOps stack (Terraform, Kubernetes, Databricks, SageMaker) on the job. You will work with data scientists, ML engineers, and software and data engineers. Key Responsibilities Design, build and run backend services and internal tooling for the ML platform, in Go and Python, and own them in production: delivery, monitoring, on-call. Drive technical research and design for new platform features. Weigh trade-offs and write them down. Build and extend the deployment tooling and SDKs ML teams use to ship models, including serving, autoscaling and data capture. Integrate ML services with the wider backend: sync (HTTP, gRPC) and async (Kafka, RabbitMQ) communication, built for reliability under high load. Support the full ML delivery cycle with data scientists and ML engineers: CI/CD for models and pipelines, monitoring, and model performance metrics. Build observability end to end: metrics, logs, dashboards, tracing, alerting and runbooks. Write infrastructure as code with Terraform and Terragrunt, and ship it through reviewed pull requests. Take part in code and design reviews and help raise the engineering bar. Mentor engineers and hold AI-generated changes to the same review standard as human ones. Skills, Knowledge and Expertise 5+ years of commercial backend engineering, including high-load systems. Strong Go: you know and have used its advanced features in production. Solid Python for data processing (batch, streaming and async) and for service code. Strong SQL: schema design, indexes, query optimisation, and scaling approaches such as replication and partitioning. Experience with Redis or similar key-value stores. Experience with sync and async service communication (HTTP, gRPC, Kafka or RabbitMQ), with a focus on reliability. Docker, CI/CD pipelines, and working Kubernetes knowledge. Experience with AWS/GCP core services (compute, storage, networking, IAM). Understanding of the ML lifecycle: data preparation, model performance metrics, non-functional requirements, and concept drift in production. Familiarity with scikit-learn, PyTorch/TensorFlow. Experience designing and running observability: metrics, logging, dashboards, tracing (Prometheus, Grafana, ELK or similar). Git workflows and code review, comfortable Linux command line, and networking basics (TCP/IP, DNS, VPC, load balancers). Ability to explain a trade-off clearly to a data scientist, a product owner and an on-call engineer. Nice to have: Hands-on experience with MLOps tooling: Databricks (Unity Catalog, Asset Bundles), SageMaker, Kubeflow, MLflow or Airflow. GPU or LLM inference experience (vLLM, Triton, Langfuse). Experience using AI coding agents with full review of generated changes. Experience in emerging markets, or building where there is no playbook yet. Experience with Infrastructure-as-Code (IaC) tools Why join us Real scale and real constraints: models serving a global fleet, GPU budgets that matter, LLM workloads reaching production. A strong backend engineer can grow into the MLOps domain here. We will teach you the platform side; you bring the engineering craft. Help us challenge injustice by creating fair choices for millions of people across 48 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Final benefits may vary depending on the location.

Location: Quito, Ecuador Workplace: remote We are looking for a Supervisor to act as the single owner of courier and cargo onboarding flows, verification processes, and regulatory compliance for the Delivery Hub in Ecuador. In this role, you will sit within the Supply department, which builds and protects our supply base across all geographies, and bridge the gap between regulatory rigor, product experience, and funnel conversion. Your job is simple to describe but difficult to execute: build a seamless, compliant onboarding machine that converts leads into active couriers while protecting the business against regulatory risks in Ecuador. Key Responsibilities Own the courier and freight registration and verification funnel end-to-end in Ecuador holding final accountability for the aha-moment conversion rate. Develop the WatchDocs (registration platform) flow with the product team and agree on form configurations for the country. Monitor funnel metrics, diagnose anomalies, and run drop-off research (surveys, courier calls, field tests with local teams). Plan and execute WatchDocs data migrations from old to new platforms in Ecuador, tracking impact on registrations and conversion to avoid supply disruption. Own KYC, identity verification, and document requirements for the Courier and Freight verticals in Ecuador. Drive compliance platform features with engineering teams and maintain central compliance dashboards. Represent Delivery Hub in cross-vertical compliance discussions, balancing legal and regulatory risk against funnel performance with data-backed arguments. Prepare Ecuador  for upcoming regulatory changes (e.g., labor and platform reforms) and support new launches in highly regulated environments. Run supply funnel optimization projects, quantifying business impact (conversion, GMV, Net Revenue) together with analytics. Own onboarding and compliance streams in quarterly and annual planning, maintaining single-source dashboards and concise decision-oriented materials for senior leadership. Support the launch of fleet project in Ecuador. Qualifications Experience: 4+ years in project management or operations within ride-hailing, delivery, or marketplace platforms in Ecuador. Hands-on experience with registration/onboarding funnels, identity verification (KYC), or regulatory projects in these markets is a strong advantage. Technical & Data Skills: Proficiency in SQL (BigQuery) for independent data extraction/validation, experience building BI dashboards (Tableau or similar), and project management tool mastery (Jira, Confluence). Domain Expertise: Deep understanding of KYC/identity verification flows and core marketplace metrics (GMV, active supply, done rate, activation, funnel conversion), including local document and verification requirements in Ecuador. Regulatory-to-Product Translation: Strong ability to translate complex legal and regulatory mandates in Ecuador.  (e.g., labor and platform regulations) into clear product requirements while quantifying their business impact. Stakeholder & Cross-Cultural Management: Fluent in Spanish and English; Portuguese is an advantage. Strong communication skills for working with local teams across Ecuador. Confident pushing back on stakeholders with data when proposed requirements threaten conversion. Mindset: Extreme end-to-end ownership, pragmatic problem-solving in fast-changing regulatory environments, high execution discipline, and a long-term strategic vision. Why join us Help us challenge injustice by creating fair choices for millions of people across 47 countries. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, and social impact projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Final benefits may vary depending on the location.

Location: Mexico City, Mexico Workplace: hybrid inDrive is a global mobility platform built on fairness: passengers and drivers agree on the price together. We are building a Loyalty Program that rewards passengers for riding with us and gives them real value, not endless promotions. As Partnership Manager, Loyalty, you will own the benefits side of that program globally, across all of inDrive's markets. You will shape the value proposition across three types of benefits: external benefits co-funded by banks, financial groups and consumer brands; internal benefits funded by inDrive; and product benefits built into the app. You will bring partners on board and turn conversations into signed agreements that work in practice, and you will run experiments across all three until we find the mix that passengers actually adopt. You will be the first dedicated hire on this workstream, reporting directly to the Global Director of Loyalty. Disclaimer: CVs in Spanish will NOT be considered. Key Responsibilities Build and prioritize the global partner pipeline, with local depth in your region, choosing partners by fit with the program rather than by the volume they offer. Lead negotiations with Strategic Alliances teams at banks and financial groups, and guide them through their internal approvals (Risk, Legal, Product, Finance). Structure and negotiate term sheets, campaign terms and settlement mechanics together with our Legal and Finance teams. Shape the value proposition for external benefits (partner-funded) and internal benefits (inDrive-funded), and keep both coherent for the passenger. Champion product benefits internally: build the case with Product and other teams so that app features become part of the loyalty offer. Run the experimentation across all benefit types, from hypothesis to test design and readout, until we find the sweet spot of adoption. Work with Product and Fintech teams so every agreement can run on our native product and wallet. Define the partner offer catalog and the criteria for turning down offers that do not give passengers fair value. Track benefit and partner performance (adoption, redemptions, incrementality, return for both sides) and report it to leadership. Represent inDrive in front of partner executives across our markets. Skills, Knowledge & Expertise 6 to 10 years in partnerships, strategic alliances or business development, with at least 3 in loyalty, cashback, fintech, payments, super-apps or marketplaces. A track record negotiating co-funded campaigns or agreements with external funders such as banks, card issuers or large consumer brands. Experience working with Strategic Alliances teams at banks or financial groups and navigating their internal approval chain. Experience structuring deals with Legal and Finance: term sheets, campaign terms, settlements. Hands-on experience designing and running experiments on benefits or offers (A/B tests, pilots) and acting on the results. Comfort with data: you read redemption dashboards and understand incrementality and campaign ROI. Fluent Spanish and English. How you work You influence without authority, moving several internal teams and an external partner at once. You translate between worlds: you can explain our model to a bank and a bank's request to our Legal and Finance teams. You have the judgment to say no to volume that does not serve passengers, and the tact to keep the relationship. You are comfortable building from zero, with no closed playbook. You communicate clearly with executives and work autonomously through long negotiation cycles. You care about fair value for passengers, not only about the size of the funding. Nice to have Experience inside a bank, card issuer or fintech, or an existing network in one or more of inDrive's markets. Knowledge of banking and fintech ecosystems in emerging markets across Latin America, Asia or Africa. Experience with both funding models: partner prefunds the incentive, or the platform advances it and settles later. Background in ride-hailing, delivery or mobility. Having launched a partner program from scratch. Interest in purpose-driven initiatives. Location and team Scope: Global. You will build partnerships and benefits across inDrive's markets in Latin America, Asia, Africa and beyond. Location: Peru, Colombia or Mexico. We will prioritize candidates with a network in Peru or Colombia. Reports to: Global Director of Loyalty. Works with: Product, Fintech, Legal, Finance and the corporate Partnerships team, on a global, English-speaking team.

Location: Lima, Peru Workplace: hybrid inDrive is a global mobility platform built on fairness: passengers and drivers agree on the price together. We are building a Loyalty Program that rewards passengers for riding with us and gives them real value, not endless promotions. As Partnership Manager, Loyalty, you will own the benefits side of that program globally, across all of inDrive's markets. You will shape the value proposition across three types of benefits: external benefits co-funded by banks, financial groups and consumer brands; internal benefits funded by inDrive; and product benefits built into the app. You will bring partners on board and turn conversations into signed agreements that work in practice, and you will run experiments across all three until we find the mix that passengers actually adopt. You will be the first dedicated hire on this workstream, reporting directly to the Global Director of Loyalty. Disclaimer: CVs in Spanish will NOT be considered. Key Responsibilities Build and prioritize the global partner pipeline, with local depth in your region, choosing partners by fit with the program rather than by the volume they offer. Lead negotiations with Strategic Alliances teams at banks and financial groups, and guide them through their internal approvals (Risk, Legal, Product, Finance). Structure and negotiate term sheets, campaign terms and settlement mechanics together with our Legal and Finance teams. Shape the value proposition for external benefits (partner-funded) and internal benefits (inDrive-funded), and keep both coherent for the passenger. Champion product benefits internally: build the case with Product and other teams so that app features become part of the loyalty offer. Run the experimentation across all benefit types, from hypothesis to test design and readout, until we find the sweet spot of adoption. Work with Product and Fintech teams so every agreement can run on our native product and wallet. Define the partner offer catalog and the criteria for turning down offers that do not give passengers fair value. Track benefit and partner performance (adoption, redemptions, incrementality, return for both sides) and report it to leadership. Represent inDrive in front of partner executives across our markets. Skills, Knowledge & Expertise 6 to 10 years in partnerships, strategic alliances or business development, with at least 3 in loyalty, cashback, fintech, payments, super-apps or marketplaces. A track record negotiating co-funded campaigns or agreements with external funders such as banks, card issuers or large consumer brands. Experience working with Strategic Alliances teams at banks or financial groups and navigating their internal approval chain. Experience structuring deals with Legal and Finance: term sheets, campaign terms, settlements. Hands-on experience designing and running experiments on benefits or offers (A/B tests, pilots) and acting on the results. Comfort with data: you read redemption dashboards and understand incrementality and campaign ROI. Fluent Spanish and English. How you work You influence without authority, moving several internal teams and an external partner at once. You translate between worlds: you can explain our model to a bank and a bank's request to our Legal and Finance teams. You have the judgment to say no to volume that does not serve passengers, and the tact to keep the relationship. You are comfortable building from zero, with no closed playbook. You communicate clearly with executives and work autonomously through long negotiation cycles. You care about fair value for passengers, not only about the size of the funding. Nice to have Experience inside a bank, card issuer or fintech, or an existing network in one or more of inDrive's markets. Knowledge of banking and fintech ecosystems in emerging markets across Latin America, Asia or Africa. Experience with both funding models: partner prefunds the incentive, or the platform advances it and settles later. Background in ride-hailing, delivery or mobility. Having launched a partner program from scratch. Interest in purpose-driven initiatives. Location and team Scope: Global. You will build partnerships and benefits across inDrive's markets in Latin America, Asia, Africa and beyond. Location: Peru, Colombia or Mexico. We will prioritize candidates with a network in Peru or Colombia. Reports to: Global Director of Loyalty. Works with: Product, Fintech, Legal, Finance and the corporate Partnerships team, on a global, English-speaking team.

Location: Limassol, Cyprus Workplace: hybrid inDrive runs many ML models across 48 countries, and the platform under them is growing fast. Teams ship to Databricks, SageMaker and self-managed GPU inference, and LLM workloads are moving into production. We are hiring a Senior Backend Engineer to build and run the services and tooling that ML teams depend on. You will write production-grade Go and Python, own your services from design to on-call, and learn the MLOps stack (Terraform, Kubernetes, Databricks, SageMaker) on the job. You will work with data scientists, ML engineers, and software and data engineers. Key Responsibilities Design, build and run backend services and internal tooling for the ML platform, in Go and Python, and own them in production: delivery, monitoring, on-call. Drive technical research and design for new platform features. Weigh trade-offs and write them down. Build and extend the deployment tooling and SDKs ML teams use to ship models, including serving, autoscaling and data capture. Integrate ML services with the wider backend: sync (HTTP, gRPC) and async (Kafka, RabbitMQ) communication, built for reliability under high load. Support the full ML delivery cycle with data scientists and ML engineers: CI/CD for models and pipelines, monitoring, and model performance metrics. Build observability end to end: metrics, logs, dashboards, tracing, alerting and runbooks. Write infrastructure as code with Terraform and Terragrunt, and ship it through reviewed pull requests. Take part in code and design reviews and help raise the engineering bar. Mentor engineers and hold AI-generated changes to the same review standard as human ones. Skills, Knowledge and Expertise 5+ years of commercial backend engineering, including high-load systems. Strong Go: you know and have used its advanced features in production. Solid Python for data processing (batch, streaming and async) and for service code. Strong SQL: schema design, indexes, query optimisation, and scaling approaches such as replication and partitioning. Experience with Redis or similar key-value stores. Experience with sync and async service communication (HTTP, gRPC, Kafka or RabbitMQ), with a focus on reliability. Docker, CI/CD pipelines, and working Kubernetes knowledge. Experience with AWS/GCP core services (compute, storage, networking, IAM). Understanding of the ML lifecycle: data preparation, model performance metrics, non-functional requirements, and concept drift in production. Familiarity with scikit-learn, PyTorch/TensorFlow. Experience designing and running observability: metrics, logging, dashboards, tracing (Prometheus, Grafana, ELK or similar). Git workflows and code review, comfortable Linux command line, and networking basics (TCP/IP, DNS, VPC, load balancers). Ability to explain a trade-off clearly to a data scientist, a product owner and an on-call engineer. Nice to have: Hands-on experience with MLOps tooling: Databricks (Unity Catalog, Asset Bundles), SageMaker, Kubeflow, MLflow or Airflow. GPU or LLM inference experience (vLLM, Triton, Langfuse). Experience using AI coding agents with full review of generated changes. Experience in emerging markets, or building where there is no playbook yet. Experience with Infrastructure-as-Code (IaC) tools Why join us Help us challenge injustice by creating fair choices for millions of people across in 47 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Annual salary starting from 59 200 EUR gross Final benefits may vary depending on the location.

Location: Almaty, Kazakhstan Workplace: hybrid We’re looking for a Project Manager to join the HQ part of our Driver Marketing team at inDrive. Driver Marketing is a global team responsible for communications with current and potential drivers across 40+ markets — from acquisition and onboarding to engagement, retention and loyalty. The HQ team leads global projects and works closely with regional Driver Marketing teams, Business, Product, Analytics and other Marketing functions. We need someone who can bring all these teams together and turn complex ideas into projects that get done. Key Responsibilities You’ll own complex cross-functional and cross-regional projects from idea to result. Build project strategies and plans: goals, milestones, timelines, owners and success metrics. Bring different teams together, keep everyone aligned and drive projects forward. Track progress, dependencies and risks, and keep project documentation clear and up to date. Set up tests and pilots, define targets, track results and help decide what to scale. Build and improve processes for KPI tracking, reporting and cross-functional collaboration — including automation and AI where it makes sense. Coordinate financial planning and budget tracking, helping the team stay on plan month after month. Help prepare regular business reviews, presentations and reports. Projects will be very different: from large strategic global marketing streams like Driver Safety Perception to more operational on improving how we track KPIs within the team, manage budgets or work with other teams. There will be plenty of room to build things from scratch and make existing things work better. Skills, Knowledge & Expertise Strong project management skills and experience with complex, multi-stakeholder projects. Strong ownership. You don’t just coordinate — you feel responsible for the result. Confidence with numbers, KPIs, targets and budgets. Good understanding of marketing fundamentals, channels and metrics. Strong communication and stakeholder management skills. Ability to bring structure without creating unnecessary bureaucracy. Curiosity and a natural drive to make things simpler, faster and smarter. Fluent English — you’ll use it every day with international teams. Experience in ride-hailing, mobility or marketplaces is a big plus. And finally, we’re looking for someone who is proactive, reliable, collaborative and genuinely great to work with. There will be a lot going on. We need someone who enjoys that — and knows how to turn it into order. Why join us Help us challenge injustice by creating fair choices for millions of people across 47 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Final benefits may vary depending on the location.

Location: Mexico City, Mexico Workplace: onsite We are looking for a Operations Specialist – Mexico is responsible for supporting the efficient day-to-day operations of the Mexico office and contributing to regional Operations activities across LATAM. The role ensures smooth office functioning by coordinating facilities management, vendor relationships, procurement, invoice processing, documentation, asset management, logistics, and employee support. The Specialist also assists with internal events, business visits, and operational projects, while maintaining accurate records, following internal procedures, and ensuring timely resolution of office, facility, and office-related issues. Working closely with the Operations Business Partner (BP), OPS Manger the broader Operations team, local employees, regional stakeholders, and external suppliers, the Operations Specialist helps maintain a safe, organized, and productive workplace. The role requires a proactive, service-oriented, and process-driven approach, with a strong focus on accuracy, accountability, cross-functional collaboration, and continuous improvement. Knowledge of occupational Health and Safety (H&S) requirements and support in implementing relevant office safety procedures are also expected. Key Responsibilities Ensure the smooth daily functioning of the Mexico office, including workspace readiness, office supplies, snacks, meeting rooms, access management, and general facility needs. Coordinate maintenance, cleaning, repairs, and other facility-related services, ensuring timely resolution of operational issues. Manage office access keys and coordinate access arrangements for employees, visitors, and HQ guests. Monitor office conditions and support the implementation of Health and Safety requirements, internal policies, and workplace standards. Coordinate with local suppliers and service providers to ensure timely delivery of goods and services. Support supplier sourcing, quotation collection, price comparisons, onboarding, and partnership discussions. Manage the administrative flow of invoices, purchase requests, accounting approvals, and payment follow-ups in accordance with internal procedures. Maintain an up-to-date vendor database and monitor service quality, contractual obligations, and payment statuses. Support virtual office and coworking arrangements, including subscriptions, utilities, and related payments. Create, organize, update, and archive physical and digital documentation in accordance with internal standards. Maintain accurate office databases, asset inventories, budget trackers, supplier records, and operational task lists. Support correspondence management, including receiving, scanning, distributing, sending, and archiving documents. Prepare reports, spreadsheets, forms, presentations, dashboards, and visual summaries to support operational planning, budget monitoring, and management updates. Support monitoring of the Mexico Operations budget, tracking expenses, invoices, payment statuses, and budget utilization. Assist with invoice submissions, accounting approvals, accrual confirmations, and financial documentation. Maintain accurate and up-to-date expense trackers and supporting records, identifying discrepancies or potential delays and escalating them when necessary. Follow established procurement, payment, and budget control procedures to support cost efficiency and financial transparency. Welcome new employees, visitors, and HQ guests, providing the necessary information, access, and office support. Coordinate the distribution of office materials, recruitment-related supplies, and other resources required by employees and internal teams. Manage snack inventory and replenishment, ensuring availability and appropriate distribution. Respond to employee requests related to office facilities, equipment, access, and general operational needs. Contribute to creating a welcoming, safe, and productive work environment that supports employee satisfaction and efficiency. Assist in planning and executing internal events, Operations Summits, management visits, team activities, and other office-related initiatives. Coordinate procurement, supplier arrangements, materials, workspace preparation, and logistical requirements for events. Support travel and logistics for key operational projects when required. Contribute to office improvement projects, workplace initiatives, and regional Operations activities, ensuring timely execution of assigned tasks. Collaborate with Operations colleagues and stakeholders across Mexico, Brazil, Peru, Colombia, the USA, and other relevant locations. Provide backup support during team members’ absences, helping ensure continuity of invoice processing, documentation, asset management, and other time-sensitive tasks. Share regular updates on task progress, outstanding requests, potential risks, and operational blockers with the Operations BP and relevant stakeholders. Skills, Knowledge & Expertise Fluency in both English and Spanish, with the ability to communicate effectively with local and international stakeholders. Strong organizational, time-management, and multitasking skills, with the ability to prioritize competing requests and meet deadlines. High attention to detail and accuracy in managing financial records, documentation, equipment databases, and operational reports. Strong ownership and accountability, with the ability to work independently, follow through on tasks, and escalate issues proactively. Advanced proficiency in Microsoft Office, particularly Excel and PowerPoint, and strong working knowledge of Google Workspace. Experience preparing spreadsheets, trackers, reports, dashboards, and professional presentations; knowledge of Canva is an advantage. Good communication and stakeholder management skills, including experience coordinating with suppliers and internal teams. A process-oriented mindset, with the ability to follow SOPs, identify inefficiencies, and recommend practical improvements. A proactive, service-oriented, and solution-focused attitude, with flexibility to adapt to changing operational priorities. Ability to handle equipment , company assets and office materials when required. Basic knowledge of workplace Health and Safety practices and willingness to support the implementation of relevant procedures. Job Benefits Help us challenge injustice by creating fair choices for millions of people across 47 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Final benefits may vary depending on the location.

Location: Almaty, Kazakhstan Workplace: hybrid The Freight vertical provides essential logistics solutions for Private and SMB clients. This role covers the EMEA & APAC regions, with a strong operational focus on Kazakhstan as well as broader EMEA and APAC expansion . The key purpose of this role is to own and drive the development and scalable growth of the Freight business. As a Business Development Manager, you will be responsible for end-to-end business expansion — including commercial performance, pricing and unit economics, analytics, go-to-market strategy, and cross-functional execution. You will validate and scale growth hypotheses, ensure sustainable GMV and revenue growth, and build repeatable business models across your target markets. Key Responsibilities Own business growth and expansion of the Freight vertical across Kazakhstan, EMEA, and APAC, including revenue, GMV quality, and unit economics. Develop and manage pricing and tariff models, ensuring sustainable margins and competitive positioning. Own unit economics calculations and continuously optimize business performance. Drive analytical deep dives into business funnels (supply, demand, conversion, retention) and identify growth opportunities. Generate, validate, and scale business, product, marketing, and operational hypotheses in cross-functional teams. Own go-to-market initiatives, including branding, positioning, and collaboration with Marketing teams. Define and develop CRM logic: segmentation, lifecycle management, retention, and reactivation mechanics. Coordinate antifraud initiatives with risk and antifraud teams to ensure healthy marketplace economics. Conduct market and competitor analysis and contribute to long-term Freight vertical strategy. Own P&L for the region / vertical: planning, monitoring, and optimization of core metrics. Lead BD team and manage cross-functional stakeholders (Product, Marketing, Operations, Risk) to deliver business results. Qualifications 3+ years of experience in business development, commercial operations, or growth management in a marketplace or logistics/freight business. Advanced Excel / Google Sheets skills (financial models, unit economics, P&L modeling, tariff design, cohort analysis). Strong track record in funnel analysis, hypothesis testing, customer development (CustDev), and KPI monitoring. Direct experience with pricing, tariff modeling, CRM systems, and customer lifecycle management. Ability to independently analyze complex data, challenge assumptions with logic, and translate high-level strategy into clear execution frameworks. Strong execution and delivery mindset with the ability to work autonomously, decompose complex problems, and focus on high-impact initiatives. Excellent leadership and cross-functional stakeholder management skills. High level of empathy, resilience, and a constructive, low-toxicity approach to teamwork. Knowledge of SQL, Python, or A/B testing frameworks is a plus. Fluent English. Why join us Help us challenge injustice by creating fair choices for millions of people across 47 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Final benefits may vary depending on the location.

Location: Tbilisi, Georgia Workplace: hybrid We are looking for a Senior Mobile Advertising Account Manager to develop relationships with key advertising platforms, agencies, and resellers and help improve the efficiency and scalability of inDrive’s digital acquisition channels. The role connects regional Marketing Managers with external partners, including Xiaomi, Moloco, AppLovin, Apple Ads, agencies, and resellers. The ideal candidate combines performance marketing expertise with strong partnership, negotiation, and stakeholder management skills. Key Responsibilities Own and develop relationships with key advertising platforms, agencies, and resellers. Work closely with regional Marketing Managers to understand their acquisition needs and identify relevant solutions and opportunities. Translate regional business needs into actionable initiatives for external partners. Negotiate commercial terms, incentives, test budgets, service levels, and other partnership conditions. Identify opportunities to improve channel efficiency, scalability, and overall marketing performance. Initiate and coordinate tests of new traffic sources, products, inventory, and platform capabilities. Evaluate partner performance and recommend the optimal setup across direct, agency, and reseller buying models. Share platform expertise, best practices, and successful cases across regions. Qualifications 5+ years of experience in performance marketing, mobile user acquisition, digital partnerships, media buying, or agency management. Strong understanding of mobile performance marketing and the in-app advertising ecosystem. Experience working with advertising agencies and/or resellers. Experience working directly with advertising platforms or traffic sources is highly desirable. Strong understanding of performance metrics such as CPA/CAC, CPI, ROAS, LTV, and retention. Proven commercial negotiation and partner management experience. Strong internal stakeholder management skills and ability to work with multiple regional teams. Analytical mindset and ability to connect partnership opportunities with measurable marketing results. Fluent English. Nice to have: Hands-on experience buying and optimizing in-app traffic. Experience with Moloco, AppLovin, Apple Ads, Xiaomi, or similar platforms. Experience managing both direct and agency/reseller buying models. Understanding of mobile attribution, MMPs, SKAN, and incrementality. Experience launching and scaling new acquisition channels across multiple markets. Key Skills Mobile Performance Marketing Strategic Partnership Management Commercial Negotiation Internal Stakeholder Management Analytical & Business Thinking Consultative Approach Cross-functional Collaboration Prioritization & Project Management Why join us Help us challenge injustice by creating fair choices for millions of people across 47 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Final benefits may vary depending on the location.

Location: Limassol, Cyprus Workplace: hybrid We are looking for a Passenger Incentives Economics Manager to join our Marketplace Efficiency team and own the day-to-day operations of passenger incentives across inDrive markets. You will manage incentive budgets, operate and optimize discount and reward mechanics, analyze their impact on passenger growth and marketplace economics, and work closely with Analytics, Tech, Finance and Marketinh teams to make incentive management increasingly data-driven and automated. This is a hands-on role with a direct impact on the passenger side of the marketplace, offering the opportunity to work across multiple countries and emerging markets and influence how incentives are designed, allocated and scaled. Key Responsibilities Manage the weekly passenger incentives budget across countries and incentive mechanics, ensuring effective budget allocation and pacing. Operate and optimize the portfolio of passenger discounts, rewards and other monetary incentive mechanics based on business objectives and performance. Monitor incentive performance using data and dashboards, analyze uplift, incrementality, CPAR and net revenue impact, and identify opportunities to stop, scale or adjust initiatives. Work with Analytics and Tech to develop and improve tools, models, monitoring and automation for incentive management and budget allocation. Translate business needs into clear requirements and drive their implementation with analysts, engineers and product teams. Prepare regular performance insights and recommendations based on data. Continuously improve operational processes and move incentive management from manual decisions towards automated, algorithm-driven solutions. Skills, Knowledge & Expertise Degree in Economics, Finance, Business, or a closely related field is required. 3+ years of experience in operations, revenue management, growth, strategy, analytics or consulting. Hands-on experience with pricing, incentives, promotions or revenue management — including setting up initiatives, testing them and measuring their impact. Strong analytical skills and experience working with large datasets; advanced Excel skills. Solid understanding of unit economics, incrementality and A/B testing, including the use of control groups to measure the true impact of incentives. Understanding of marketplace dynamics and how passenger-side incentives can affect supply, demand and the driver side of the marketplace. Experience translating business needs into requirements for Product, Analytics or Tech teams and driving initiatives through to delivery. Strong ownership and execution skills, with the ability to structure ambiguous problems and make data-driven decisions. Strong stakeholder management and communication skills. Fluency in English. Would be a plus: Experience working across multiple countries or regions. SQL, Python or experience with BI tools such as Tableau or Power BI. Experience with loyalty, cashback or points-based products. Experience working with ML-driven targeting or recommendation systems. Why join us Help us challenge injustice by creating fair choices for millions of people across 47 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Annual salary starting from 64 700 EUR Gross. Final benefits may vary depending on the location.

Location: Limassol, Cyprus Workplace: hybrid We are looking for a QA Manager to join our team. In this role, you will lead QA Operations, drive the development and improvement of quality processes and standards, optimize regression testing, work with quality metrics, and promote automation and AI-powered approaches across QA. You will work closely with Engineering Platform and Product teams to strengthen quality ownership and build efficient, scalable QA processes across the organization. This is a hybrid role, with 2 days per week working from the office in Paphos or Limassol . Key Responsibilities Lead the QA Operations team, including team development and performance management Own and continuously improve regression testing processes for mobile applications Develop product quality processes and continuously improve their efficiency Own quality metrics, analyze trends and identify improvement opportunities Develop defect management, triage and escalation processes for critical issues Define and continuously improve testing guidelines, quality standards and common QA processes Drive the adoption of AI-powered approaches and automation across testing and quality processes Identify and scale opportunities to use AI to improve QA Operations efficiency and reduce manual effort Partner with Engineering Platform and Product teams to improve product quality and strengthen engineering ownership of quality Skills, Knowledge and Expertise 5+ years of experience in Quality Management / QA Lead Experience managing distributed or international teams Strong experience in organizing and optimizing regression testing Experience building, scaling and improving QA Operations processes Hands-on experience working with quality metrics and driving data-informed improvements Experience testing mobile applications on iOS and Android Good understanding of test automation across Unit, API and UI/E2E levels and shift-left testing principles Experience adopting AI tools, AI-assisted testing or other AI-powered approaches in software development and testing processes Ability to identify processes that can be automated or transformed with AI and drive such initiatives through implementation Strong stakeholder management skills and experience working closely with Engineering Platform and Product teams Why join us Help us challenge injustice by creating fair choices for millions of people across 47 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Annual salary from 90 700 EUR gross Final benefits may vary depending on the location.