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Location: Dhaka, Bangladesh Workplace: onsite To be added Key Responsibilities Responding to phone calls, emails, and chat messages. Quickly and efficiently resolving customer issues. Processing returns, exchanges, and customer complaints. Keeping records of each interaction with customers. Updating customer information in the CRM system. Collecting and forwarding customer feedback to relevant departments. Informing customers about the status of their inquiries. Skills, Knowledge and Expertise Excellent oral and written communication skills for both Urdu and English languages. Ability to conduct dialogue politely and professionally. Ability to work with large volumes of information. Attention to detail and accuracy in documentation. Proficiency in PC and basic office programs. Skills in working with CRM systems and other specialized software.

Location: Almaty, Kazakhstan Workplace: hybrid We are seeking a Volunteer Coordinator to own the operational side of the volunteer programmes that connect inDrive employees with inVision projects and inDrive’s own initiatives. The role collects volunteering opportunities in one place, processes applications, matches volunteers with opportunities and supports them through participation. It is key to making employee volunteering visible and measurable for inDrive and inVision leadership. Key Responsibilities Act as the single point of contact between inDrive employees, inVision projects and inDrive teams. Collect volunteering opportunities from inVision projects and inDrive teams and keep the catalogue on TeamMate and the inVision website up to date. Draft and maintain guidelines and procedures of the volunteer programme. Process volunteer applications and match volunteers with opportunities, including matching inDrive mentors with inVision U students. Run the operational side of the student mentoring programme: questionnaires, briefings, guides and rules, follow-up of mentor-student pairs. Administer the volunteering platform: registrations, event creation, participation tracking, dashboards. Run volunteer recognition: merchandise, TeamMate badges, records of individual contributions. Collect cases of joint inVision-inDrive activities (for example, programmes in inDrive summer camps) and support linked formats such as workation at the festival. Track participation, volunteer hours and reach; prepare reports for the line manager and leadership. Collect stories and photos for internal channels. Skills, Knowledge and Expertise Requirements: Education: Bachelor’s degree Experience: 3–5 years in corporate volunteering, CSR, community or employee engagement, or programme coordination Languages: English (Upper-Intermediate) Key Competencies: High independence Communication with employees, project teams and partners Organisation and relationship building

Location: Tbilisi, Georgia 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: Manila, Philippines Workplace: remote We are seeking a Customer Support Specialist to handle omnichannel inquiries (phone, email, and chat). In this role, you will quickly resolve customer issues, process returns and complaints, and accurately document every interaction within our CRM system. You will act as a vital bridge for user feedback, forwarding insights to relevant departments while keeping customers informed about their inquiry status. Key Responsibilities Responding to phone calls, emails, and chat messages. Quickly and efficiently resolving customer issues. Processing returns, exchanges, and customer complaints. Keeping records of each interaction with customers. Updating customer information in the CRM system. Collecting and forwarding customer feedback to relevant departments. Informing customers about the status of their inquiries. Skills, Knowledge and Expertise Excellent oral and written communication skills for both Filipino and English languages. Ability to conduct dialogue politely and professionally. Ability to work with large volumes of information. Attention to detail and accuracy in documentation. Proficiency in PC and basic office programs. Skills in working with CRM systems and other specialized software. 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: Almaty, Kazakhstan Workplace: hybrid We are looking for an Operations Specialist to manage end-to-end procure-to-pay processes and operational procurement support across digital and offline media teams. This role is focused on ensuring the smooth execution of the full purchasing and contracting lifecycle—from budget verification and purchase request creation to contract coordination, invoice processing, and accurate cost allocation across multiple budget sources. Please note, this is a temporary position for maternity leave cover. Key Responsibilities Managing budget-related activities, including planning, plan-vs.-actual analysis, and budget balance transfers; Conducting the contractual process and document flow with contractors in coordination with marketing communications managers, legal, and finance departments; Preparing draft agreements; Monitoring NDA execution and compliance for new counterparties, as well as tracking the status of existing contracts; Coordinating contracts with all relevant departments and stakeholders; Monitoring contract execution, exchanging closing documents (acts), and preparing reports on completed work; Maintaining documentation records, including sorting, organizing, and archiving documents; Communicating with counterparties regarding timely payments and document exchange; Processing payments (including SLOGs and customer development expenses); Tracking payment statuses; Ensuring accurate cost allocation and recording in internal systems; Working with SAP, Oracle, or other internal systems. Skills, Knowledge & Expertise Higher education in Economics, Finance, Accounting, Analysis, or Audit; Experience working with company budgets; Experience with contracts and basic reporting, including invoices and certificates of work performed; English language proficiency at B2 level or higher; Proficiency in office software, including Google Docs, SAP, Oracle, and other internal systems; Strong attention to detail, responsibility, accuracy, and the ability to work efficiently under tight deadlines. 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: Almaty, Kazakhstan Workplace: hybrid We are seeking a Payroll lead to own the financial side of payroll across all inVision companies, turning HR data into accurate payroll calculations, a reliable budget and clear insights for leadership. The role combines payroll budgeting and financial modeling with hands-on payroll execution, tax management across jurisdictions and close cooperation with HR, accounting and external payroll providers. It is critical to keeping payroll costs transparent, compliant and under control as the organization grows. Key Responsibilities 1. Payroll Planning and Budgeting Build the payroll budgeting process (salaries, bonuses, contributions) across all inVision companies. Create and maintain a strategic, automated payroll financial model in Google Sheets. Prepare the payroll budget for the financial period and update it based on data provided by HR. Calculate the full cost of positions: monthly gross, employer taxes and contributions, annual bonus, currency. Check each position against the payroll limit. Prepare the payroll budget and submit it for approval to the CFO and the Director. 2. Payroll Tax Burden Maintain and update tax conditions for key inVision jurisdictions: tax and social contribution rates, caps, thresholds and payment deadlines (together with local advisors). Calculate employer and employee tax burden for each jurisdiction for the payroll budget and position costing. Monitor changes in tax legislation, assess their impact on the payroll budget and update the financial model on time. Plan payroll tax and social contribution payments in the budget in line with payment deadlines. Analyze payroll tax risks. 3. Financial Control Enter changes provided by HR into the financial model and keep the data up to date. Check new positions and changes against the payroll budget and limits. 4. Monthly Payroll Cycle Calculate salaries, taxes and contributions in Kazakhstan based on HR documents and events (hiring, terminations, vacations, sick leave, timesheets). Calculate payments to other individuals in Kazakhstan (civil-law contracts, student payments). Calculate and pay taxes and contributions for employees and individuals in Kazakhstan. Prepare and submit tax and contribution reports in Kazakhstan. In other jurisdictions, review and control them together with local advisors. Prepare payment registers and organize salary payments. Prepare accounting entries and reconcile payroll with the general ledger monthly. Calculate final settlements on termination based on HR data. 5. Financial Assessment of Compensation Changes Calculate the payroll budget impact of compensation changes (raises, indexations, transfers) approved and provided by HR. Assess requests that exceed department limits for review by the CFO and the Director. Calculate the bonus pool, book accruals and process bonus payments based on HR data. Reallocate payroll limits between departments and legal entities within the approved budget. 6. Control and Analytics Run plan-vs-actual analysis and rolling forecasts for payroll. Prepare management analysis and payroll reports for leadership. 7. Methodology and Development Develop and maintain policies and control procedures for the financial part of the payroll process. Work with HR, accounting, banks, external payroll providers and auditors on financial payroll matters. Take part in automation and ERP system development for payroll. Skills, Knowledge and Expertise Requirements Degree in Economics or Finance. Certifications in payroll, taxation or accounting are a plus. At least 4–5 years of experience in payroll, tax and contribution calculations and/or payroll budget planning. Experience in other jurisdictions is a plus. Experience coordinating external payroll providers and cross-functional processes (HR, accounting, finance). Strong knowledge of labor and tax legislation related to payroll, taxes and social contributions (Kazakhstan is required; other jurisdictions where we operate are a plus). Experience building financial models and budgets. Experience with the full payroll cycle in Kazakhstan: calculation, reporting to social funds, payments, accounting entries and reconciliation. Experience with payroll, HR and accounting/ERP systems (1C:ZUP or similar) and master data management. Advanced Excel / Google Sheets skills (pivot tables, models, formulas) and financial analysis skills. English at C1 level or higher. Key Competencies Attention to detail and accuracy. Error-free work with large volumes of calculations and personal data. Confidentiality and ethics. Strict confidentiality of employee compensation information. Analytical thinking. Ability to explain variances and turn numbers into insights for leadership. Cross-functional communication. Constructive work with HR, department heads and the CFO; ability to defend budget limits with clear arguments. Ownership and meeting deadlines. Strict adherence to payroll calendar and tax reporting deadlines. Flexibility and adaptability in a fast-changing environment. Ability to respond quickly to shifting project priorities and reflect changes in payroll records.

Location: Recife, Brazil Workplace: hybrid As one of the top mobility companies in the world, we have been redefining the industry with innovative mobile technologies since 2013, driving us toward becoming a super app. Join us in our mission to combat global injustice. We are seeking a strategic Financial Controller to own the close and local regulatory compliance processes for our legal entities in Latin America, with a primary focus on Brazil, Mexico and Peru, and to lead and develop our LATAM accounting team. You will provide thought leadership and accounting expertise to support strategic decision-making in local accounting and compliance matters, and you will leverage your deep knowledge of local compliance requirements to support treasury, tax planning and FP&A. Note: ONLY CVs in English will be considered. Key Responsibilities Lead and develop the LATAM accounting team (about 5 to 6 people across Mexico, Brazil and Peru): give clear structure and guidance, support learning and growth, and hold the team accountable without micromanaging. Perform month-, quarter- and year-end close and financial reporting under U.S. and local GAAP, and ensure compliance with local statutory accounting, tax, cash repatriation and other regulatory requirements. Own local statutory audits, tax audits and regulatory changes in each jurisdiction, working closely with tax agents and business process outsourcers (BPOs). Own general ledger management, account reconciliations, flux analysis and adherence to internal controls; own entity deliverables for the global audit. Lead continuous improvement of the close process, focusing on automation, SOP documentation, scalability and standardization, and reduce the number of days to close. Use technology and AI tools to build and scale automated accounting processes. Guide the business through the accounting operations and compliance setup of newly opened legal entities, including fiscalization and e-invoicing requirements. Identify and resolve operational inefficiencies, accounting issues and regulatory risks with a proactive, data-driven mindset, with a strong understanding of the differences between U.S. GAAP and local GAAP. Partner with Treasury, Tax and FP&A to support cash repatriation, tax planning and forecasting. Skills, Knowledge & Expertise 10+ years of total work experience owning month-, quarter- and year-end close under local and U.S. GAAP, focused on timeliness, accuracy, robust documentation of standard operating procedures, adherence to internal controls and cross-functional collaboration. Must have experience working in a large public company and strong U.S. GAAP knowledge in a Sarbanes-Oxley environment. A strong IFRS background is welcome as long as U.S. GAAP knowledge is solid. Proven people leadership: a strong manager who builds and develops teams, is kind and empathetic while holding people accountable, and is focused on excellence in accounting, close and compliance. Deep experience with local regulatory reporting, taxation and compliance matters, including working with BPOs and tax audits, and the ability to learn the requirements of new jurisdictions quickly and take end-to-end ownership. Proven experience collaborating with cross-functional teams such as treasury, reporting, tax, shared services, HR and FP&A. A builder's mindset focused on constant improvement, with a track record of reducing days to close and bringing efficiencies through technology, standardization of processes and talent development. Strong organizational and prioritization skills, comfortable with ambiguity and working in fast-paced, remote-first, high-productivity and multicultural environments. Clear communication in English, written and spoken. An authorized public accounting license such as Chartered Accountant or local equivalent. Nice to have: experience in tech marketplaces or apps (first preference) or B2B SaaS companies; Big 4 background; NetSuite; hands-on experience building automations with AI tools such as Claude or ChatGPT. Job Benefits Be part of a growing and innovative company with a unique approach to ride-hailing and Fintech solutions. Enjoy a collaborative and supportive work environment where new ideas and perspectives are encouraged and valued. Competitive salary as a full-time employee. Hybrid work arrangements to support a healthy work-life balance.

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: Limassol, Cyprus Workplace: hybrid At inDrive, a passenger and a driver agree on a price in seconds. What happens next, from the moment the driver accepts the order until the passenger steps out of the car, decides whether that passenger will open inDrive again. We are looking for a Senior Product Manager to own the passenger's ride experience : from driver assignment to a successfully completed trip. You will shape how passengers wait for and meet their driver, how they feel during the ride, and how the trip ends. This role goes beyond screens and flows. Your work will directly affect completed rides, cancellations, passenger trust and retention. Key Responsibilities Own the Ride Experience End-to-End: You will define and evolve the passenger journey after a driver is assigned: waiting for pickup, meeting the driver, the ride itself and the end of the trip. Turn More Matches into Completed Rides: Find and remove the reasons why passengers and drivers cancel after they have agreed on a ride, so that more matched orders end in a successful trip. Make Pickup Predictable: Improve ETA accuracy, driver tracking, pickup point clarity and passenger-driver communication, so that passengers and drivers find each other quickly and without stress. Build Trust and Safety into the Ride: Together with the safety team, develop in-ride features such as trip sharing, route monitoring and emergency tools that help passengers feel safe and in control. Close Every Trip Well: Own the end of the ride: trip summary, payment confirmation, ratings and feedback, and resolving post-trip issues such as disputes or lost items. Experiment and Optimize Continuously: Run A/B tests and iterate on key levers such as waiting rules, notifications, communication tools and cancellation policies. Collaborate Across Domains: Work closely with driver product, safety, maps and geo, payments, customer support and data teams to keep the experience consistent for both sides of the ride. Skills, Knowledge and Expertise 4+ Years in Consumer Marketplaces: Proven track record leading high-scale consumer products, preferably in ride-hailing, delivery, or platforms with offline operational components. Operational & System Understanding: Hands-on grasp of real-world logistics—including ETAs, geolocation, cancellations, and support workflows—alongside two-sided marketplace incentives (passengers vs. drivers). Data & Experimentation Rigor: Skilled in A/B testing, funnel and cohort analysis, and data-driven decision-making under uncertainty to rapidly test bold hypotheses. User-Centric & Safety Mindset: Deep empathy for passenger anxieties during a ride, with the ability to design trust-building UX while treating safety as an absolute product requirement. Cross-Functional Alignment: Proven success collaborating across diverse product teams (Driver Experience, Maps, Safety, Payments, Support) to navigate conflicting priorities and reach consensus. Clear & Strategic Communication: Ability to articulate complex product trade-offs, operational trade-offs, and strategic decisions to both technical teams and executive leadership. Communication: Business-fluent English proficiency (B2/C1+ or equivalent). 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: 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: Limassol, Cyprus Workplace: hybrid As Senior Product Manager for Compliance , you’ll own the platform that decides who can drive, deliver, and use inDrive across 47 countries—directly impacting user safety, regulatory posture, and bottom-line risk. You will lead the transformation of our driver compliance tools into a scalable Compliance Platform capable of supporting new business lines, global audits, and strict data privacy standards while powering regional expansion today. Key Responsibilities Set Compliance Strategy: Own the long-term vision and strategy for compliance at inDrive. Secure leadership commitment to it. Own the Compliance Product: Own end to end the product that decides who can take orders on inDrive: document requirements by market, document processing, and access control. Support Regional Compliance: Own how requests from regional compliance teams are taken in and prioritized against regulatory risk and business impact. Launch Markets and Requirements: Be accountable for compliance readiness of new country launches and new regulatory requirements. Reduce Compliance Incident Costs: Own the cost of compliance incidents, including fines, suspensions, and mass access restrictions. Build for Audit and Privacy: Make sure the product meets local data-protection laws and regulatory audit requirements. Drive Cross-Functional Delivery: Align roadmaps across Regional Compliance, Legal, Operations, Risk, Engineering, and leadership. Skills, Knowledge and Expertise Product Experience: 5+ years of product management experience at high-volume platforms (Ride-hailing, On-Demand Marketplaces, FinTech, or Logistics), with a focus on platform or internal products that other teams and services depend on. Rules-Driven Products: Experience building products where external or policy requirements set the logic, such as compliance, risk, Trust & Safety, payments or tax. Experience working directly with legal or regulatory teams is a plus. Records & Lifecycle: Experience with products that manage accounts, documents and their statuses over time, such as onboarding or account management, where data quality and decision history matter. Multi-Market Launches: Experience launching or adapting products across several countries with different local requirements. Platform Evolution: Experience moving a live system onto a new platform without disrupting operations, and turning repeated one-off requests into configurable solutions. Systems Literacy: Ability to partner closely with engineering teams on data models, integrations and rules configuration without needing to write code yourself. Data & Business Acumen: Highly analytical, with experience making trade-offs between risk, lost supply and cost. Stakeholder Management: Experienced in leading alignment across business, operational and technical teams and leadership. Communication: Business-fluent English proficiency (B2/C1+ or equivalent). 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: Almaty, Kazakhstan Workplace: hybrid We’re looking for an Internal Investigations Manager to join our team and take the lead on fraud investigations across our business. You’ll run investigations end to end — from gathering evidence and interviewing witnesses to analysing what happened and presenting your findings. You’ll also look beyond individual cases to spot patterns, uncover control gaps, and help make our processes stronger. If you’re naturally curious, highly objective, comfortable handling sensitive information, and not afraid to ask the uncomfortable questions — we’d love to hear from you. Key Responsibilities Manage end-to-end fraud investigations across countries, ensuring timely closure Gather, preserve, and document digital and operational evidence in line with chain-of-custody best practices Conduct structured interviews (in-person or video) with whistleblowers, witnesses, and internal stakeholders. Prepare clear, well-structured investigation reports and case summaries for internal stakeholders Identify control gaps or process weaknesses through investigations and recommend remediation actions Identify systemic fraud patterns and conduct root cause analysis on recurring case types, translating findings into actionable recommendation Monitor implementation of controls across business units Participate in cross-team collaboration and knowledge-sharing sessions Contribute to the development and continuous improvement of investigation procedures, templates, and methodologies — including responsible use of AI for efficiency Skills, Knowledge & Expertise Bachelor’s degree. 7+ years of investigation experience , including independently managing investigations end to end, from intake through evidence collection, interviews, analysis, and formal reporting. Professional proficiency in English Strong skills in evidence handling and chain of custody, structured interviewing and statement-taking, OSINT, link analysis and relationship mapping . Experience with NUIX, Relativity, digital evidence handling, and data analytics . Big 4 experience is preferred. Certified Fraud Examiner (CFE) certification — nice to have. Strong analytical and structured thinking skills, with the ability to make sense of complex, incomplete, or contradictory information. High standards of integrity, objectivity, discretion, and confidentiality . Strong emotional intelligence and communication skills , with the ability to handle sensitive interviews and communicate difficult findings to senior stakeholders. Professional courage and attention to detail , with the ability to stand behind conclusions under pressure. A drive to go beyond individual investigations by identifying systemic fraud patterns, control gaps, and root causes , and turning findings into actionable improvements. 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: Almaty, Kazakhstan Workplace: onsite We are seeking a bilingual Customer Support Specialist for our Safety Hub team, working a 2-and-2 schedule (12-hour day shifts, 09:00–21:00). In this role, you will make outbound calls to drivers on intercity rides when safety events occur, such as driver fatigue or speeding. You will guide them according to approved scripts and accurately document every interaction. You will also act as a bridge for feedback, forwarding insights to relevant departments. The ideal candidate has excellent oral communication skills in both Russian and Kazakh, stays calm in sensitive conversations and handles high call volumes while keeping a polite and professional tone. This  is onsite job based in Almaty. Key Responsibilities Making outbound calls to drivers about safety events on intercity rides (driver fatigue, speeding) Quickly and efficiently resolving issues and guiding drivers according to approved scripts Handling sensitive conversations calmly and professionally, including de-escalation Keeping records of each interaction in internal systems Updating case information in the CRM / admin panel Collecting feedback and recurring issues and forwarding them to relevant departments Working with high call volumes while maintaining quality standards Skills, Knowledge & Expertise Excellent oral and written communication skills in both Russian and Kazakh Ability to conduct dialogue politely and professionally Stress resistance and ability to stay focused during 12-hour shifts Ability to work with large volumes of information Attention to detail and accuracy in documentation Proficiency in PC and basic office programs Skills in working with CRM systems and other specialized software Previous call center experience is a plus Job Benefits Help us challenge injustice by creating fair choices for millions of people across 1100+ cities in 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.