Вакансии

Location: Limassol, Cyprus Workplace: hybrid At inDrive, a ride is a transaction. A loyal driver is a relationship. In a competitive market, fair earnings are the start, but they aren't enough to build long-term loyalty. We are looking for a Senior Product Manager to make driving for inDrive the most rewarding and engaging experience for millions of drivers worldwide. You won’t just be adding features; you'll be building the foundation of our driver community. Key Responsibilities Own the Loyalty Strategy. You will develop and execute the roadmap for all driver loyalty and engagement initiatives, from gamification to rewards programs. Design Game Mechanics. You'll create and test systems like badges, leaderboards, and personalized challenges to make the daily driving experience more engaging and fun. Develop Loyalty Programs. You will build tiered programs that recognize and reward our most active and high-quality drivers with tangible benefits, creating a clear path for growth on our platform. Foster Community. You will explore and launch features that create a sense of belonging and social connection among drivers, making inDrive more than just an app. Define and Grow Key Metrics. Your success will be measured by the growth in driver retention rates, increased trip frequency per driver, and lower driver churn. Champion the Driver's Voice. You will work closely with research, data, and regional teams to deeply understand what truly motivates drivers beyond the fare, and bring those insights into the product. Skills, Knowledge and Expertise Professional Experience: 3+ years of product management experience, preferably in mobile apps, two-sided marketplaces, gig economy platforms, or mobility services, with a proven track record of owning end-to-end product streams from ground-zero strategy to deployment. Gamification & Loyalty Mechanics: Strong expertise in behavioral design and engagement systems, including gamification mechanics (badges, leaderboards, status tiers, personalized challenges) and structured driver reward programs. Strategic Vision & Retention Focus: Ability to build long-term product roadmaps focused on non-monetary driver motivation, increasing lifetime value (LTV), boosting trip frequency, and reducing driver churn. Data-Driven Analytics: Solid quantitative skills with experience using data to measure platform health, track driver retention metrics, run A/B experiments, and evaluate engagement funnels. User-Centric & Community Design: Passion for translating user research and driver feedback into product features that build community, foster platform belonging, and solve core driver needs. Cross-Functional & Global Collaboration: Exceptional stakeholder management skills with a history of aligning engineering, data science, research, and localized regional teams to execute global product initiatives. Languages: Professional working proficiency in English (B2/C1+). 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 80 200 EUR gross. Final benefits may vary depending on the location.

Location: Panama Workplace: hybrid As a Cluster Representative, you will take full ownership of end-to-end regional strategy execution—from launching new cities and tariffs to optimizing driver ecosystems and navigating local regulatory landscapes. In this role, you will bridge global/regional strategy with local execution, serving as the voice of your markets to shape commercial performance and key stakeholder relationships. Key Responsibilities Regional Strategy & Growth Execution: Lead the end-to-end execution of regional strategies. Drive critical growth projects—including new city rollouts and tariff launches—coordinating cross-functional teams to deliver on time and within budget. Performance & Business Analytics: Continuously track and analyze local top-line performance metrics (Rides, GMV, Revenue). Identify trends, flag issues early, and propose swift corrective action plans. Marketplace & Supply Optimization: Collaborate directly with Marketing and Marketplace Efficiency teams to adapt driver acquisition and retention initiatives to local realities. Propose strategic pricing, surge, and incentive opportunities. Public Affairs & Regulatory Risk Management: Support Public Affairs & Government Relations on regulatory topics affecting your markets. Proactively identify legislative risks and accompany leadership in government and industry meetings to provide on-the-ground business context. Local Partnerships & Business Development: Identify, evaluate, and develop new local partnership opportunities, negotiating commercial terms within established frameworks. Competitive Intelligence: Gather on-the-ground market insights and translate competitive intelligence into clear, actionable strategic recommendations. Skills, Knowledge & Expertise Proven Experience: 3–5+ years of experience in management consulting, tech operations, mobility/ride-hailing, or general management, leading multi-project portfolios. Analytical Mindset: Strong capability to analyze performance data (GMV, conversion rates, supply dynamics) and turn insights into high-impact operational decisions. Cross-Functional Leadership: A track record of driving cross-team alignment across Marketing, Policy, and Marketplace Operations. Stakeholder & Regulatory Savvy: Comfortable representing the company in external policy meetings, partner negotiations, and executive discussions. Execution & Agility: Strong project management skills with the ability to navigate ambiguity and deliver results in a fast-paced environment. 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: Abu Dhabi, United Arab Emirates Workplace: hybrid Autonomous vehicles are coming to the markets in which inDrive serves, but the AV industry has a blind spot: it has almost no data from the cities where we operate. inDrive runs one of the world's largest ride-hailing fleets, concentrated in exactly the emerging markets global AV players have yet to reach. We are building the team that turns that fleet into an AV grade data platform: large scale multi sensor collection from real vehicles on real trips, evaluation of driving models against human drivers, automated and human in the loop causal annotation, and camera first 3D scene reconstruction for simulation. We are hiring the founding leader of this workstream. This is a rare true zero to one: you will hire the team, stand up the vehicles and the data platform, set the technical bar, and own delivery end to end. Key Responsibilities Own the AV data workstream end to end. Roadmap, execution, quality, and outcomes, from vehicle data capture through processing, annotation, and delivery of AV-grade datasets Build the team from zero. Hire and lead a multi disciplinary team covering large scale data engineering, search and serving, ML engineering across divergence detection, edge inference, and VLM based auto labeling, 3D reconstruction research, and data annotation operations. Own the hiring bar and the team's growth Management : Manage ML engineers' charter across the cluster Set technical direction across disciplines. Provide design authority for the full pipeline, including onboard capture, cloud ingestion and processing at fleet scale, semantic and causal labeling, and neural scene reconstruction, and make the key technical decisions on evidence Partner with leaders across the organization. Work closely with the leaders of data platform, ML ops, geo and mapping, and inDrive's wider autonomous vehicle initiatives to align roadmaps, share infrastructure, and unblock delivery Own external partnerships. Drive the technical relationships this work depends on, including the NVIDIA AV ecosystem and prospective AV partners consuming our data Balance research and delivery. Several of the core questions here are open research. You frame milestones as decision gates, redirect work based on evidence, and keep the team shipping measurable results on a schedule Skills, Knowledge and Expertise 10+ years of engineering experience in applied ML, autonomous systems, or large-scale data and ML platforms, including 3+ years in the autonomous vehicle industry or closely adjacent autonomy domains (AV data, simulation, or evaluation platforms, ADAS, robotics perception, HD mapping), and 4+ years managing engineering teams, with a track record of building teams from scratch and delivering from zero to one Strong command of the modern AV and foundation model landscape: vision-language models, multi-modal perception, 3D reconstruction and neural rendering, and the NVIDIA AV ecosystem. Deep enough to set direction, review designs, and make evidence-based technical calls Genuine engineering leadership range: you have successfully led data engineering, platform, or infrastructure delivery, not only ML research, and can evaluate and unblock work across those disciplines Proven ability to take large-scale ML systems from conception to production: data pipelines, training and evaluation infrastructure, and models running under real-world constraints Strong external presence: experience owning technical partnerships, vendor and licensing relationships, or customer-facing technical engagements at a senior level Deep fluency in the modern ML stack (PyTorch or equivalent, large-scale training and inference, Python and Linux) and in cloud data platforms at multi-terabyte scale Bachelor's degree in Computer Science, Engineering, or a related field Nice to have: AV industry experience specifically in offline evaluation, data mining, annotation platforms, or simulation, as distinct from on-vehicle stack development Advanced degree (MS or PhD) in ML, robotics, or computer vision Experience operating in emerging markets, and comfort building where the playbook does not exist yet 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: Jakarta, Indonesia Workplace: hybrid inDrive's Forecasting product turns large-scale marketplace data into daily and monthly forecasts of the company's core supply, demand and financial metrics. These forecasts are the backbone of target setting, financial planning and scenario analysis for business teams and leadership. We are looking for a Senior Analyst to own this product: the quality and credibility of the numbers, the planning processes they feed, and the story behind every deviation. You will take over a working production solution (Python, BigQuery) and keep it reliably serving the business — but the core of the role is not modeling for its own sake. It is understanding how the business works: how pricing, incentives, marketing and market events move metrics, how those metrics connect to each other, and what decision-makers need from a forecast to plan with confidence. Key Responsibilities Business & planning Own the forecast as a decision-making product: track plan vs actual, decompose variances into business drivers (seasonality, pricing, incentives, marketing, external events), and explain in business terms why the numbers changed Support company planning cycles: provide forecast baselines for target setting and budgeting, and align assumptions with finance and business stakeholders Build and run scenario ("what-if") analysis for planned interventions: pricing changes, incentive and marketing spend, product launches, market expansion Maintain the dependency logic connecting supply, demand and financial metrics, so that forecasts stay mutually consistent and aggregate correctly across markets Translate ambiguous business questions into measurable forecasting problems; communicate assumptions, uncertainty and limitations clearly to both business and technical audiences Forecast production Run and monitor recurring daily and monthly forecasts: data completeness, sanity checks, run-over-run drift Investigate anomalies end to end — from inputs and business transformations to forecast outputs — getting to the business reason, not just a technical fix Improve models pragmatically: baselines, honest validation, and model choices driven by measurable planning value rather than sophistication. Keep the solution maintainable: readable Python, documentation, versioned changes Skills, Knowledge and Expertise 4+ years in analytics, forecasting or planning roles — for example marketplace or product analytics, demand planning, or decision science Strong understanding of how a business is planned: plan/fact cycles, target setting, driver-based models, unit economics. You see business metrics as a connected system, not as isolated time series Practical command of time-series forecasting — seasonality, holidays, external regressors, structural breaks, missing data — enough to own and improve production models Confident Python (pandas ecosystem): able to maintain and extend an existing production codebase Advanced SQL and experience with large datasets in a cloud data warehouse Rigorous validation habits: appropriate baselines, no data leakage, error metrics tied to business impact Ownership mindset: comfortable investigating issues across data, model, and integration boundaries Professional working proficiency in English and the ability to defend a number in front of senior stakeholders Nice to have: Background in mobility, marketplaces or other supply-and-demand systems Experience supporting financial planning, S&OP or budgeting processes Econometrics and causal inference; marketing-response models (adstock, saturation, investment payback) Hierarchical forecasting across multiple markets Experience owning or supporting production batch pipelines; BigQuery, Git-based workflows, CI/CD Technology environment Python (pandas, NumPy, scikit-learn, Prophet), BigQuery, Databricks, Git and GitHub Actions. This is an analyst role in an engineering-friendly environment: you should be at home in this stack, but deep ML engineering is not the core of the job. Why join us 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: Limassol, Cyprus Workplace: hybrid inDrive's Forecasting product turns large-scale marketplace data into daily and monthly forecasts of the company's core supply, demand and financial metrics. These forecasts are the backbone of target setting, financial planning and scenario analysis for business teams and leadership. We are looking for a Senior Analyst to own this product: the quality and credibility of the numbers, the planning processes they feed, and the story behind every deviation. You will take over a working production solution (Python, BigQuery) and keep it reliably serving the business — but the core of the role is not modeling for its own sake. It is understanding how the business works: how pricing, incentives, marketing and market events move metrics, how those metrics connect to each other, and what decision-makers need from a forecast to plan with confidence. Key Responsibilities Business & planning Own the forecast as a decision-making product: track plan vs actual, decompose variances into business drivers (seasonality, pricing, incentives, marketing, external events), and explain in business terms why the numbers changed Support company planning cycles: provide forecast baselines for target setting and budgeting, and align assumptions with finance and business stakeholders Build and run scenario ("what-if") analysis for planned interventions: pricing changes, incentive and marketing spend, product launches, market expansion Maintain the dependency logic connecting supply, demand and financial metrics, so that forecasts stay mutually consistent and aggregate correctly across markets Translate ambiguous business questions into measurable forecasting problems; communicate assumptions, uncertainty and limitations clearly to both business and technical audiences Forecast production Run and monitor recurring daily and monthly forecasts: data completeness, sanity checks, run-over-run drift Investigate anomalies end to end — from inputs and business transformations to forecast outputs — getting to the business reason, not just a technical fix Improve models pragmatically: baselines, honest validation, and model choices driven by measurable planning value rather than sophistication. Keep the solution maintainable: readable Python, documentation, versioned changes Skills, Knowledge and Expertise 4+ years in analytics, forecasting or planning roles — for example marketplace or product analytics, demand planning, or decision science Strong understanding of how a business is planned: plan/fact cycles, target setting, driver-based models, unit economics. You see business metrics as a connected system, not as isolated time series Practical command of time-series forecasting — seasonality, holidays, external regressors, structural breaks, missing data — enough to own and improve production models Confident Python (pandas ecosystem): able to maintain and extend an existing production codebase Advanced SQL and experience with large datasets in a cloud data warehouse Rigorous validation habits: appropriate baselines, no data leakage, error metrics tied to business impact Ownership mindset: comfortable investigating issues across data, model, and integration boundaries Professional working proficiency in English and the ability to defend a number in front of senior stakeholders Nice to have: Background in mobility, marketplaces or other supply-and-demand systems Experience supporting financial planning, S&OP or budgeting processes Econometrics and causal inference; marketing-response models (adstock, saturation, investment payback) Hierarchical forecasting across multiple markets Experience owning or supporting production batch pipelines; BigQuery, Git-based workflows, CI/CD Technology environment Python (pandas, NumPy, scikit-learn, Prophet), BigQuery, Databricks, Git and GitHub Actions. This is an analyst role in an engineering-friendly environment: you should be at home in this stack, but deep ML engineering is not the core of the job. Why join us 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 Annual salary from EUR 70 700 gross Final benefits may vary depending on the location.

Location: Almaty, Kazakhstan 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: Almaty, Kazakhstan Workplace: hybrid inDrive's Forecasting product turns large-scale marketplace data into daily and monthly forecasts of the company's core supply, demand and financial metrics. These forecasts are the backbone of target setting, financial planning and scenario analysis for business teams and leadership. We are looking for a Senior Analyst to own this product: the quality and credibility of the numbers, the planning processes they feed, and the story behind every deviation. You will take over a working production solution (Python, BigQuery) and keep it reliably serving the business — but the core of the role is not modeling for its own sake. It is understanding how the business works: how pricing, incentives, marketing and market events move metrics, how those metrics connect to each other, and what decision-makers need from a forecast to plan with confidence. Key Responsibilities Business & planning Own the forecast as a decision-making product: track plan vs actual, decompose variances into business drivers (seasonality, pricing, incentives, marketing, external events), and explain in business terms why the numbers changed Support company planning cycles: provide forecast baselines for target setting and budgeting, and align assumptions with finance and business stakeholders Build and run scenario ("what-if") analysis for planned interventions: pricing changes, incentive and marketing spend, product launches, market expansion Maintain the dependency logic connecting supply, demand and financial metrics, so that forecasts stay mutually consistent and aggregate correctly across markets Translate ambiguous business questions into measurable forecasting problems; communicate assumptions, uncertainty and limitations clearly to both business and technical audiences Forecast production Run and monitor recurring daily and monthly forecasts: data completeness, sanity checks, run-over-run drift Investigate anomalies end to end — from inputs and business transformations to forecast outputs — getting to the business reason, not just a technical fix Improve models pragmatically: baselines, honest validation, and model choices driven by measurable planning value rather than sophistication. Keep the solution maintainable: readable Python, documentation, versioned changes Skills, Knowledge and Expertise 4+ years in analytics, forecasting or planning roles — for example marketplace or product analytics, demand planning, or decision science Strong understanding of how a business is planned: plan/fact cycles, target setting, driver-based models, unit economics. You see business metrics as a connected system, not as isolated time series Practical command of time-series forecasting — seasonality, holidays, external regressors, structural breaks, missing data — enough to own and improve production models Confident Python (pandas ecosystem): able to maintain and extend an existing production codebase Advanced SQL and experience with large datasets in a cloud data warehouse Rigorous validation habits: appropriate baselines, no data leakage, error metrics tied to business impact Ownership mindset: comfortable investigating issues across data, model, and integration boundaries Professional working proficiency in English and the ability to defend a number in front of senior stakeholders Nice to have: Background in mobility, marketplaces or other supply-and-demand systems Experience supporting financial planning, S&OP or budgeting processes Econometrics and causal inference; marketing-response models (adstock, saturation, investment payback) Hierarchical forecasting across multiple markets Experience owning or supporting production batch pipelines; BigQuery, Git-based workflows, CI/CD Technology environment Python (pandas, NumPy, scikit-learn, Prophet), BigQuery, Databricks, Git and GitHub Actions. This is an analyst role in an engineering-friendly environment: you should be at home in this stack, but deep ML engineering is not the core of the job. 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: Lima, Peru Workplace: hybrid We are looking for a data-driven Senior Product Marketing Manager to own the strategy, execution, and continuous optimization of our customer lifecycle and product engagement initiatives. Key Responsibilities Campaign Preparation and Execution: Independently create, schedule, and execute marketing campaigns (email, push notifications, WhatsApp, in-app messages, banners) across multiple customer segments. Optimize campaigns for delivery across time zones, devices, and customer preferences. Ensure compliance with legal standards such as GDPR and other regional requirements. Audience Segmentation: Design and implement custom segmentation strategies based on multidimensional criteria such as behavior, demographics, orders and ride history, and engagement levels. Maintain dynamic customer segments that update automatically as data changes. Trigger Campaign Configuration: Build and manage multi-step automated workflows, such as re-engagement, loyalty program adoption, or upselling campaigns, with minimal supervision. Test and troubleshoot triggers to ensure proper execution and alignment with the customer lifecycle. Testing and Optimization: Plan, execute, and document A/B and multivariate tests for key campaign elements, including design, timing, and messaging. Use insights from testing to implement data-driven improvements across campaigns. Perform regular performance reviews to refine optimization strategies. Reporting and Analysis: Generate detailed reports on campaign performance, interpreting metrics like open rates, CTRs, conversions, and ROI. Present data insights to stakeholders and provide actionable recommendations to improve rider and driver engagement. Collaboration and Mentoring: Collaborate with cross-functional teams (content, design, analytics) to deliver campaigns. Provide guidance and support to junior CRM specialists, including peer reviews and knowledge sharing. Skills, Knowledge & Expertise CRM Platform Proficiency: Independently execute at least five end-to-end campaigns quarterly using advanced CRM platform features (e.g., Bloomreach, Salesforce Marketing Cloud, HubSpot). Build at least three advanced automations quarterly, such as multi-step workflows with branching logic (e.g., loyalty or churn prevention campaigns). Complete at least two courses with intermediate certification for Bloomreach or demonstrate equivalent expertise. Data Analysis and Reporting: Create detailed reports with data visualizations for at least five campaigns quarterly, incorporating metrics like open rates, conversion rates, and ARPPU. Work with datasets using tools like Excel or Google Sheets with advanced functions (e.g., INDEX/MATCH, QUERY). Present campaign insights to stakeholders in three formal presentations with actionable recommendations. Digital Marketing Expertise: Apply intermediate-level knowledge of digital marketing strategies, including personalization, retargeting, and customer journey mapping. Assist in the strategic planning of at least two multi-channel campaigns integrating email, WhatsApp, in-app, banners, and push notifications. Advanced Data Handling: Segment audiences dynamically based on real-time data, using at least three different criteria simultaneously. Ensure data compliance by implementing processes that align with GDPR/CCPA requirements for all campaigns. English Proficiency: Write comprehensive campaign briefs and reports in English, ensuring accuracy and clarity. Lead or co-lead three cross-functional meetings in English, presenting updates or insights confidently. Advanced Testing and Optimization: Conduct and analyze A/B tests for at least five campaigns quarterly, including testing subject lines, offers, layouts, and timing. Implement changes based on test results, achieving measurable improvements in key KPIs (e.g., a 5 statistically significant lift in conversion). Communication Deliverability: Monitor and resolve deliverability issues for campaigns. Use tools like Postmaster Tools or delivery reports to troubleshoot spam issues and optimize sender reputation. 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 You will lead analytics for the Services cluster — the set of domains that protect trust, safety, and quality across every interaction on our platform. This is where the integrity of the marketplace is safeguarded and where millions of passengers and drivers experience inDrive as a safe and reliable place to be. Your teams will span five closely connected areas: Watchdocs (driver document verification and work with the compliance base), Trust & Safety (everything related to trust and safety in rides — incidents and safety features), Customer Support (both the product tooling for handling user requests and the automation of that work, plus WFM analytics of support agents' performance), Customer Experience (Voice-of-the-Customer feedback and connecting satisfaction metrics such as CSAT/DSAT to business metrics), and Antifraud (protecting rides, transactions, ratings, and more from abuse across inDrive). You will build and manage a team that partners closely with product, operations, support, and compliance to turn a large volume of behavioral, operational, and feedback signals into decisions that reduce risk and improve experience at the same time. From detecting and quantifying fraud across rides and transactions, to measuring the real business impact of safety features and support automation, to linking customer-feedback metrics (CSAT/DSAT) with core business outcomes — your work will define how the company balances protection, cost, and user satisfaction. In this role, you will act as a strategic partner to product and business leaders, as well as to Trust & Safety and Compliance stakeholders — shaping the analytics agenda for the Services cluster, defending its strategy in front of senior leadership, and building scalable processes, metrics, and standards that make trust and safety measurable across the whole platform. Key Responsibilities Own the analytics strategy and roadmap for the Services cluster (Watchdocs, Trust & Safety, Customer Support, CX, Antifraud), align it with company-level priorities, and defend it in front of senior leadership Build, grow, and develop a team of 11+ (analysts) — hiring, mentoring, and setting quality standards across the cluster Lead Antifraud analytics : detect and quantify fraudulent behavior across rides, transactions, and ratings; evaluate the effectiveness of anti-fraud rules and models and their trade-off with false positives Drive Trust & Safety analytics : measure incident rates, evaluate the impact of safety features, and help prioritize initiatives that reduce risk for passengers and drivers Oversee Customer Support analytics : assess support tooling and automation effectiveness, contact-rate drivers, resolution quality, and WFM analytics for agent capacity and performance Lead CX analytics : connect Voice-of-the-Customer metrics (CSAT/DSAT) to business outcomes such as retention and revenue, and turn feedback into prioritized product and operational actions Guide Watchdocs analytics : the document-verification funnel, compliance coverage, and the balance between compliance rigor and a smooth driver onboarding experience Define and standardize metrics, definitions, and monitoring across the cluster; ensure data quality in partnership with DWH, DS, and Engineering Establish best practices in experimentation (A/B testing), causal inference, forecasting, and effect measurement across the team Partner cross-functionally at the company level (Product & Tech & Business, DWH, DS, Engineering) and act as a trusted advisor to Head / Director / C-suite stakeholders Skills, Knowledge and Expertise 6+ years of experience in data or product analytics, preferably in tech, ride-hailing, marketplace, or platform businesses 2+ years of people management, leading teams of 10+ people, including other managers or team leads Strong expertise in SQL and Python (or R), with a solid foundation in statistics and experimentation (A/B testing, causal inference) Proven ability to translate large volumes of behavioral, operational, and feedback data into decisions that balance risk, cost, and user experience Experience partnering with senior stakeholders (Head / Director / C-suite) and forming and defending strategy at the company level Proficiency in BI tools (Tableau, Looker, Redash, or similar) Strong communication skills and the ability to present complex findings clearly to both technical and non-technical audiences English proficiency at B2 or higher for international collaboration Nice to Have Hands-on experience in one of the Services domains — Trust & Safety, Antifraud, Customer Support / WFM, CX / Voice-of-the-Customer, or compliance Experience with fraud / risk modeling, anomaly detection, or safety analytics Familiarity with text / sentiment analysis for customer-feedback data Experience scaling analytics across multiple countries and verticals Why join us 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 Annual salary from EUR 90 700 gross Final benefits may vary depending on the location.

Location: Pretoria, South Africa Workplace: hybrid We are looking for a Senior Marketing Manager to drive passenger acquisition, retention, and brand growth for inDrive Southern Africa region with a primary focus on South Africa. You will work closely with the Regional Marketing Lead and the local team to bring inDrive's global brand strategy to life on the ground – leading hands-on execution of marketing activations, partnerships, and brand-building initiatives across the region. Key Responsibilities Execute locally relevant marketing strategy by adapting inDrive's global brand strategy and guidelines to the South Africa, Zambia, Zimbabwe and Botswana markets Work as an embedded, hands-on member of the local team, partnering closely with Business Development, Driver Operations, and other local functions within a matrix structure Contribute to and help develop marketing briefs for advertising campaigns and creative production, ensuring creatives are culturally relevant Plan and deliver 360° marketing campaigns, activations, and partnerships that drive passenger acquisition and brand awareness Partner with the Regional Marketing Lead on budget and strategic planning, and execute the approved local marketing budget Analyze the acquisition and retention funnels, surface product improvement opportunities, and conduct in-market customer development (CustDev) research Generate and test performance marketing hypotheses in coordination with the in-house performance marketing team Skills, Knowledge & Expertise 4+ years of digital consumer marketing experience, ideally within a global or multinational company Hands-on experience planning and executing multi-channel (360°) marketing campaigns and activations Experience working with influencer marketing and partnerships Comfortable operating in a matrix structure, collaborating with and influencing multiple stakeholders and functions without direct authority An execution-focused mindset – equally comfortable shaping plans and personally delivering the work, including agency management Strong analytical skills, with the ability to assess campaign and funnel performance and translate data into action Experience working with a mobile product is a plus but not required 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 Geo Search runs the search that tens of millions of customers use to say where they are going, across many countries where the commercial maps everyone else leans on are often wrong, incomplete, or simply missing. We are building our own search and recommendation stack, which means we own the data, the ranking, and the measurement. The team is cross-functional, spanning backend, machine learning, mobile, and QA, and works with a product manager focused on relevance and with geo analysts. It owns place search and autocomplete, geocoding, ranking and personalization, location detection and pickup selection, and its own search screens on Android and iOS. It is measured on order conversion, search conversion, and mean reciprocal rank We are looking for a Senior Data Scientist to own ranking, relevance and recommendation for geo search: the models that decide which places a customer sees, in what order, and how that changes with context. This is a modeling role with production responsibility, and it is close to a founding one. You will define how relevance is measured here, build the training data from scratch, and own the models that follow. The interesting constraint is that suggestions must return within tens of milliseconds of each keystroke, in cities where map data is thin and people type in mixed scripts, so model choice is an evidence-based trade-off you will own rather than a preference: gradient-boosted ranking on behavioral data today, transformers and large language models where they earn their place in query understanding and cross-script matching, and neural reranking if the failure analysis justifies it. Ground truth comes from what drivers, couriers and customers actually do, and from completed rides, so a large part of the craft is turning messy behavioral logs into labels you can trust. You will measure your impact through offline evaluation and online A/B tests, and changes reach millions of customers in weeks. Key Responsibilities Own ranking, relevance and recommendation for geo search end to end, from training data through to models serving in production Build the label pipeline that turns search sessions and completed rides into trustworthy training data, including correction for position bias and other presentation effects Train and own the models that order results, and the confidence model that decides per query whether we serve our own answer or fall back to an external provider Build query understanding for our markets, including cross-script matching, using large language models to label offline and distilling into models fast enough for the keystroke path Own evaluation end to end: the offline replay harness that scores recorded sessions against real rides, the error analysis that turns failures into work for the right team, and the online experiments that prove impact Keep models healthy after launch as data and cities shift Skills, Knowledge and Expertise Minimum qualifications 5 or more years building models that shipped and improved a production metric Direct experience with ranking, search relevance, or recommendation systems, including how they are evaluated Expert Python and SQL, fluency with gradient boosting, and working knowledge of transformers Experience taking a model to production and owning it afterwards The ability to work across teams, since search quality work generates data and engineering tasks that others own Preferred qualifications Depth in geocoding, autocomplete, or place search Learning to rank in practice: pairwise and listwise objectives, MRR, NDCG, Hit@k, and their failure modes Relevance tuning on OpenSearch or Elasticsearch, including analyzers Multilingual or cross-script search, for example Arabic and Arabizi or Urdu and Roman Urdu Distilling language models under a latency budget, and experience in mapping or geospatial products in developing markets 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 You will lead analytics for our Intercity vertical — a core business driving long-distance travel across cities. This includes car-based rides as well as partner transportation networks such as buses and other regional operators. Your mission is to uncover opportunities for growth, optimize pricing and demand-supply balance, and help shape the future of intercity mobility for millions of users. You will manage a team that partners closely with product, operations, and marketing to improve unit economics, drive market expansion, and deliver a seamless experience for both passengers and drivers. From building forecasting models and demand-planning tools to analyzing new market entry strategies and measuring the impact of promotional initiatives, your work will directly influence business-critical decisions. In this role, you will act as a trusted advisor to product and business stakeholders — aligning analytics with strategic priorities, driving data-informed decisions, and creating scalable processes for the fast-growing Intercity vertical. Key Responsibilities Lead, mentor, and develop the analytics team, supporting performance, growth, and professional development Define and drive the analytics strategy, roadmap, and standards aligned with business and product objectives Oversee key metrics, experimentation, and analytical outputs to ensure quality, consistency, and impact Partner with product, engineering, and business leaders to embed data-driven decision-making across the organization Establish and continuously improve analytics processes, documentation, and governance Ensure data quality, integrity, and effective cross-team data collaboration Skills, Knowledge and Expertise 5+ years of experience in data analytics or data science 2+ years of people management, leadings of 5+ people Analytical mindset: structured and critical thinking, the ability to find a balance between the resources spent and the effect on the business Strong mathematical background with an emphasis on mathematical statistics, optimization theory, time series and causal inference Proficiency in Python and data analysis libraries Proficiency in SQL: ability to work with large amounts of data, write and optimize complex queries, create analytical data marts Experience in creating BI reports: Plotly / Redash / Tableau English: Professional Working Proficiency 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: Guatemala Workplace: hybrid We are expanding our Ride-Hailing Department and we're looking for a Business Operations Specialist to be responsible for managing our driver operations process in their given region. Key Responsibilities Organize and Optimize Engagement Processes Coordinate strategies to attract, activate, reactivate, and retain drivers Lead initiatives to maximize driver lifecycle value, from first contact to long-term engagement Lead and Motivate the Team Lead and manage a team of agents focused on driver engagement Conduct training sessions to develop key skills for user acquisition and activation Foster a motivating and high-performance team environment Manage KPIs and Funnel Efficiency Monitor and optimize the entire driver funnel: from app installation to completing successful orders Track and improve territory KPIs Design and execute action plans to improve key metrics Implement Motivational Programs Create and execute incentive programs to boost agent and driver performance Share performance feedback and insights to encourage continuous improvement Support Activation & Reactivation Strategies Assist in launching, adapting, and enhancing strategies for driver activation/reactivation Manage third-party partnerships to increase the number of new drivers onboarded Monitor CRM & Communication Quality Oversee call scripts and AI-driven communication tools Continuously test and refine communication approaches for optimal user experience Ensure all touchpoints deliver high-quality interactions Execute City Launches Travel within the country to support on-the-ground efforts for new city launches Organize and lead local driver recruitment campaigns Market Monitoring & Cross-Functional Collaboration Stay on top of competitor activity (bonuses, offers, etc.) Ensure seamless cross-functional communication with internal stakeholders to align strategies and priorities Skills, Knowledge & Expertise Advanced English proficiency: Both written and verbal communication skills are required Strong understanding of the sales funnel and how it applies to driver acquisition Proven customer relationship management skills, particularly in managing large-scale recruitment efforts Experience in sales or recruitment, with a focus on meeting targets and performance optimization Intermediate or Advanced Excel skills, with the ability to analyze data, create reports, and track KPIs Availability for business travel to manage recruitment activities across different regions Degree in Business Administration, Marketing, or a related field (either in progress or completed) Sales team management experience is highly desirable, particularly in recruitment or acquisition environments Strong analytical and problem-solving skills to address challenges in driver recruitment and recommend improvements Adaptability and flexibility in a fast-paced environment with evolving recruitment demands and market conditions Knowledge of local transportation regulations and market trends would be 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. Final benefits may vary depending on the location.

Location: Limassol, Cyprus Workplace: hybrid We're looking for a Senior FP&A Specialist to act as a finance partner to our business units and support decision-making across the company. In this role, you'll work directly with department heads on their budgets, projects and performance. You'll consolidate the company budget from department inputs, manage the monthly forecasting process, build long-term financial models with a five-year horizon, and calculate the economics and KPIs of department projects. You'll also track variances between plan and actuals, prepare management reports and presentations on financial performance, and participate in the automation of the planning process. Key Responsibilities Act as the finance business partner for a group of departments across the full cycle of their initiatives — from early idea, to budget approval, to post-launch review Join department planning discussions and business reviews as the finance voice in the room, and translate their roadmaps and operational plans into financial outcomes Challenge business assumptions and cost drivers, and propose alternatives when the numbers do not support the plan Give departments the financial context and trade-off analysis they need to prioritize between competing initiatives Own the annual budget for your departments: collect and challenge department inputs, consolidate them into the company budget, and ensure the data is accurate and complete Run the monthly forecasting process: update the outlook for actuals and flag deltas to the full-year plan early Build and maintain long-term financial models with a five-year forecast horizon, including scenario and sensitivity analysis Prepare business cases for department projects — unit economics, ROI, payback and break-even Define and calculate the financial KPIs of department projects, and track delivered performance against the original business case Explain variances between plan and actuals in business terms, and what they mean for the full year Prepare management reporting and financial performance presentations for leadership reviews, and own the numbers in them Reconcile financial data across sources for consistency and accuracy Automate the budgeting process and build self-serve reporting so departments can track their own budgets between planning cycles Skills, Knowledge & Expertise Bachelor's degree in Finance, Economics, Accounting, or related field Proven experience as an FP&A Specialist, Finance Business Partner, or in a similar role, including direct partnering with non-finance departments and not only preparing reports Strong understanding of budgeting, financial forecasting, and variance analysis Experience building long-term financial models and project business cases, and confident use of financial modeling and reporting tools Excellent analytical skills and attention to detail Proactive approach: you identify issues early and come with proposed solutions Ability to hold a position in a discussion with a non-finance stakeholder and support it with analysis Experience using AI tools to build reports and dashboards and to increase personal productivity Experience with budgeting software and ERP systems is a plus; hands-on experience with Workday Adaptive Planning is a strong advantage Strong organizational and time management skills Proficiency in Microsoft Office, particularly Excel and PowerPoint (Google Sheets, Google Presentation) 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 48 300 EUR gross Final benefits may vary depending on the location.

Location: Almaty, Kazakhstan Workplace: hybrid You will lead analytics for the Services cluster — the set of domains that protect trust, safety, and quality across every interaction on our platform. This is where the integrity of the marketplace is safeguarded and where millions of passengers and drivers experience inDrive as a safe and reliable place to be. Your teams will span five closely connected areas: Watchdocs (driver document verification and work with the compliance base), Trust & Safety (everything related to trust and safety in rides — incidents and safety features), Customer Support (both the product tooling for handling user requests and the automation of that work, plus WFM analytics of support agents' performance), Customer Experience (Voice-of-the-Customer feedback and connecting satisfaction metrics such as CSAT/DSAT to business metrics), and Antifraud (protecting rides, transactions, ratings, and more from abuse across inDrive). You will build and manage a team that partners closely with product, operations, support, and compliance to turn a large volume of behavioral, operational, and feedback signals into decisions that reduce risk and improve experience at the same time. From detecting and quantifying fraud across rides and transactions, to measuring the real business impact of safety features and support automation, to linking customer-feedback metrics (CSAT/DSAT) with core business outcomes — your work will define how the company balances protection, cost, and user satisfaction. In this role, you will act as a strategic partner to product and business leaders, as well as to Trust & Safety and Compliance stakeholders — shaping the analytics agenda for the Services cluster, defending its strategy in front of senior leadership, and building scalable processes, metrics, and standards that make trust and safety measurable across the whole platform. Key Responsibilities Own the analytics strategy and roadmap for the Services cluster (Watchdocs, Trust & Safety, Customer Support, CX, Antifraud), align it with company-level priorities, and defend it in front of senior leadership Build, grow, and develop a team of 11+ (analysts) — hiring, mentoring, and setting quality standards across the cluster Lead Antifraud analytics : detect and quantify fraudulent behavior across rides, transactions, and ratings; evaluate the effectiveness of anti-fraud rules and models and their trade-off with false positives Drive Trust & Safety analytics : measure incident rates, evaluate the impact of safety features, and help prioritize initiatives that reduce risk for passengers and drivers Oversee Customer Support analytics : assess support tooling and automation effectiveness, contact-rate drivers, resolution quality, and WFM analytics for agent capacity and performance Lead CX analytics : connect Voice-of-the-Customer metrics (CSAT/DSAT) to business outcomes such as retention and revenue, and turn feedback into prioritized product and operational actions Guide Watchdocs analytics : the document-verification funnel, compliance coverage, and the balance between compliance rigor and a smooth driver onboarding experience Define and standardize metrics, definitions, and monitoring across the cluster; ensure data quality in partnership with DWH, DS, and Engineering Establish best practices in experimentation (A/B testing), causal inference, forecasting, and effect measurement across the team Partner cross-functionally at the company level (Product & Tech & Business, DWH, DS, Engineering) and act as a trusted advisor to Head / Director / C-suite stakeholders Skills, Knowledge and Expertise 6+ years of experience in data or product analytics, preferably in tech, ride-hailing, marketplace, or platform businesses 2+ years of people management, leading teams of 10+ people, including other managers or team leads Strong expertise in SQL and Python (or R), with a solid foundation in statistics and experimentation (A/B testing, causal inference) Proven ability to translate large volumes of behavioral, operational, and feedback data into decisions that balance risk, cost, and user experience Experience partnering with senior stakeholders (Head / Director / C-suite) and forming and defending strategy at the company level Proficiency in BI tools (Tableau, Looker, Redash, or similar) Strong communication skills and the ability to present complex findings clearly to both technical and non-technical audiences English proficiency at B2 or higher for international collaboration Nice to Have Hands-on experience in one of the Services domains — Trust & Safety, Antifraud, Customer Support / WFM, CX / Voice-of-the-Customer, or compliance Experience with fraud / risk modeling, anomaly detection, or safety analytics Familiarity with text / sentiment analysis for customer-feedback data Experience scaling analytics across multiple countries and verticals 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: New Delhi, India Workplace: hybrid inDrive is a global marketplace operating across 47 countries and 1,200+ cities, where riders set their price and choose between competing driver offers. Because every offer displays a pick-up ETA, accuracy directly drives matching—shaping which offer wins, what riders pay for speed, and whether drivers bid. As the founding PM of the Geo ETA squad, you will own the end-to-end arrival promise for rides and multi-leg deliveries. Sitting on top of core routing, you’ll manage display policies, post-acceptance revisions, and critical non-routing factors like driver reaction times and merchant prep. You’ll solve the core marketplace trade-off: balancing unpaid driver wait times from early arrivals against user churn from late ones. Key Responsibilities Surface & Vertical Ownership: Manage pick-up and drop-off ETAs across all ride-hailing, delivery, courier, and intercity surfaces—from pre-order screens and driver bid cards to active trip tracking, lock screens, and widgets. The "Kept Promise" Framework: Define exact early/late arrival thresholds for pick-ups and drop-offs using behavioral data (cancellations, complaints, reorders) and enforce counter-metrics (like unpaid driver wait time) so teams can't game accuracy by over-padding. Non-Routing Realities: Account for real-world operational delays that traditional route engines miss, including post-acceptance driver reaction time, finishing prior trips, merchant prep times, courier dispatch, and door-to-door handovers. Conversion vs. Lateness Balance: Solve the core business trade-off between over-quoting (which lowers upfront order conversion) and under-quoting (which leads to lateness, rider cancellations, and lost trust). Data Science & Model Governance: Act as the product owner for ETA models—specifying post-acceptance refiners, offline/online evaluation sets, fallback logic, and city-level cold-start strategies in close alignment with Data Science. Cross-Team & System Resilience: Route systematic road/speed defects back to the Geo Way squad (rather than building redundant speed models), log all shown ETAs across all surfaces for auditability, and ensure reliability on low-end hardware and spotty connections. Skills, Knowledge and Expertise 5+ years in Product Management within high-volume Mapping, Ride-hailing or Delivery business. Domain Expertise in Promises & Supply: Experience building time or availability promises (such as ETAs, delivery dates, dispatch/allocation, or capacity planning) that drive action for customers or operators. Behavior-Driven Thresholds: Proven ability to calibrate accuracy and quality standards directly against user behavioral data (e.g., cancellations, conversion rates, and retention). Advanced Experimentation: Ownership of rigorous experiment design—defining success/guardrail/exit criteria upfront, understanding statistical detection limits, and executing switchback or geo-split testing in interconnected marketplace environments. Technical & Data Science Collaboration: Strong analytical self-sufficiency (writing SQL and diagnosing metric movements), paired with experience specifying model evaluation/fallback strategies and identifying when simple rules outperform complex models. Two-Sided Marketplace & Stakeholder Management: Deep understanding of two-sided marketplace dynamics (balancing rider, driver/courier, and business outcomes) alongside the ability to push back on senior leadership requests using data-backed alternatives and safe testing paths. 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. Final benefits may vary depending on the location.

Location: Almaty, Kazakhstan Workplace: hybrid Intercity covers intercity rides and parcel delivery in 35+ countries across LATAM, MENA, Central and South Asia, and Southeast Asia. Key Responsibilities Develop features for passenger and driver client apps. Work with geolocation, maps, and real-time order statuses. Run A/B experiments, manage feature flags, and implement analytics events. Do code reviews, write tests, and co-design solutions with backend and iOS engineers. Build with AI tools (Claude Code, Copilot) as part of an AI-First approach. Skills, Knowledge and Expertise 3+ years of commercial Android development with Kotlin. Good knowledge of Coroutines, Flow, MVVM/MVI and DI (Dagger/Hilt). Experience with Jetpack Compose. Experience working with multi-module projects and Gradle. Understanding of networking, caching and working with unstable connections. Experience with unit testing. English level: B1+. Nice to have: Experience with maps and geo services, such as Google Maps or 2GIS. Experience with Play Integrity, fake GPS protection or other anti-fraud solutions. Experience with Spec-First or AI-assisted development. 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 inDrive is seeking an Anti-fraud Officer to own detection and investigation of fraud across our ride-hailing, delivery and city-to-city products: Ban evasion through multi-accounting, GPS spoofing, ride manipulation, promo and referral abuse, payment fraud, driver–passenger collusion etc. Key Responsibilities Analyze transactional and behavioral data using SQL and Python to identify suspicious patterns and emerging fraud schemes Develop, tune, and improve fraud detection rules and anti-fraud dashboards Evaluate the quality and effectiveness of detection rules by tracking precision and other key performance metrics Manage fraud cases end-to-end , from identifying suspicious activity to investigation, documentation, and escalation of confirmed incidents Conduct risk assessments of new and existing product features in collaboration with Product teams Analyze and monitor fraud losses , identify key sources of losses, and develop plans to reduce them Propose and implement fraud risk mitigation measures together with Product and other cross-functional teams Skills, Knowledge and Expertise 4 + years of experience in anti-fraud, risk analytics, or a related analytical field Strong proficiency in SQL and Python for analyzing large datasets Solid understanding of statistics and the ability to apply statistical methods to behavioral analysis and anomaly detection Experience working with data and the ability to independently identify suspicious patterns and formulate hypotheses Strong analytical thinking, attention to detail, and a structured approach to investigations Ability to work in ambiguous environments and independently drive investigations from initial detection to actionable conclusions and recommendations English — B2 or higher 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.