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Location: Tbilisi, Georgia Workplace: hybrid We are looking for a Product Marketing Manager (CRM) to drive growth, frequency, and retention for inDrive.Groceries and Restaurant Delivery. This role sits at the intersection of product, CRM, analytics, and growth. You will own end-to-end go-to-market and CRM strategies that turn food delivery into a habit-forming, high-frequency use case. Your mission is to translate product capabilities, assortment, and offers into clear, timely, and personalized communication — driving both first orders and repeat behavior through scalable lifecycle strategies. Key Responsibilities CRM & lifecycle ownership Design and own CRM strategies across the full lifecycle Drive high-frequency CRM orchestration Lead multi-channel communication: push notifications, in-app banners (home, catalog, checkout, ride context) and WhatsApp / messaging channels Work with Bloomreach: segmentation, dynamic content and personalization, triggered and automated flows Data, events & analytics Own the definition and quality of product & CRM events required for funnel tracking, segmentation and targeting, experimentation and ML use cases Partner with analytics to track conversion to first order, repeat rate, frequency (orders per user), AOV / basket composition, CRM contribution to GMV Drive A/B testing Cross-functional leadership Act as a key connector between Product (Groceries & Food Delivery), Engineering, Analytics & Data Science and Local Marketing teams Support market rollouts across multiple countries: adapt CRM strategies to local behavior and supply, align with local assortment, pricing, and partners Skills, Knowledge & Expertise Experience 4–7+ years in Product Marketing, CRM, Growth, or Lifecycle Marketing Experience in food delivery, groceries, e-commerce, or marketplaces Strong hands-on CRM experience (Bloomreach is a strong plus) Proven track record of driving frequency and retention, not just acquisition Skills Strong analytical mindset (funnels, cohorts, retention, uplift) Experience working with product events and data schemas Ability to simplify complex product logic into clear messaging Experience running experiments and scaling successful mechanics Comfortable working across markets and cross-functional teams Nice to have Experience in high-frequency products (food delivery, quick commerce) Exposure to ML-driven CRM or personalization systems Experience in emerging markets with supply constraints 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 Senior Applied Researcher will own well-defined marketplace efficiency problems end-to-end, from problem formalisation through modelling, deployment, and production monitoring. You will operate independently on complex problem areas, make explicit trade-offs between competing objectives, and partner closely with engineering to deliver robust, scalable solutions. Key Responsibilities Conduct in-depth market research and analyze trends to identify opportunities for marketplace growth and optimization Develop and refine metrics, dashboards, and KPIs to monitor market performance and guide strategic decisions Generate and validate hypotheses to address key market challenges, presenting insights and actionable recommendations to stakeholders Investigate anomalies and deviations in key metrics, identifying root causes and proposing solutions Build predictive models and advanced analytics frameworks to forecast market trends and inform resource allocation Skills, Knowledge and Expertise 4–7 years of industry experience in data analytics, data science, applied research, or PhD + 2–4 years post-PhD in industry End-to-end ownership of individual marketplace models, policies, or decision mechanisms Strong judgment in trading off model fidelity, latency, robustness, and business impact Proven ability to move from abstract problem formulation to production-grade decision logic Hands-on experience collaborating with engineering teams on deployment, iteration, and monitoring Demonstrated ability to reason about system behavior under uncertainty, delayed feedback, and partial observability Modeling supply-demand dynamics as stochastic, partially observed, feedback-driven systems; formalizing unit economics, service quality, and LTV as state variables and objectives Design and analysis of experiments under interference, spillovers, feedback loops, and adaptive policies (e.g., switchbacks, clustered interventions) Practical experience with DiD, panel methods, synthetic control, double-robust estimators, and causal ML approaches in production settings Ability to distinguish short-term experimental uplift from long-run equilibrium shifts and cumulative feedback effects using time-series and dynamic causal methods. 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 EUR 70 700 gross Final benefits may vary depending on the location.

Location: Limassol, Cyprus Workplace: hybrid inDrive is seeking a Head of Loyalty Product to own inDrive’s Loyalty product domain end-to-end, reporting to the Director of SuperApp and Growth Businesses Product. The core challenge is to build a loyalty proposition that customers genuinely value and that measurably changes behavior. That means increasing frequency, retention, cross-service engagement, and customer lifetime value while maintaining sustainable economics. This is not a role focused on running a rewards feature or promotional calendar. You’ll own Loyalty as a product domain and lead execution across multiple teams and markets. This happens in a highly cross-functional environment where many of the capabilities required to deliver the Loyalty experience sit outside your direct team. Key Responsibilities Own Loyalty product strategy and roadmap. Define and continuously evolve the product strategy and roadmap for Loyalty across inDrive. Identify where loyalty can create the greatest customer and business value, translate those opportunities into clear product priorities, and own the resulting product outcomes. Build the customer proposition. Design loyalty experiences and mechanics that customers understand, value, and actively engage with. Own the end-to-end customer journey - from discovery and enrollment through earning, benefits, redemption, progress, and ongoing engagement. Drive measurable changes in customer behavior. Build products that improve frequency, retention, engagement, and customer lifetime value. Establish clear hypotheses and success criteria and distinguish incremental behavior from activity that would have happened anyway. Connect product decisions to economics. Partner closely with Business and Analytics to understand the economics behind the product. Make informed trade-offs between customer value, engagement, cost, and long-term impact rather than optimizing individual product metrics in isolation. Build for an ecosystem. Develop loyalty experiences and capabilities that can work across multiple inDrive services, customer journeys, and markets. Balance reusable, scalable product capabilities with meaningful differences in local customer behavior and market economics. Lead experimentation. Build a rigorous experimentation approach around loyalty propositions, rewards, incentives, and customer experiences. Use behavioral data, segmentation, and personalization to continuously improve what value is offered, to whom, and when. Drive cross-functional execution. Work closely with Engineering, Design, Data, Marketing, CRM, and product teams across inDrive. Identify and manage critical dependencies, create alignment around priorities and requirements, and drive the cross-team execution needed to deliver the overall Loyalty product outcome. Build and lead the product team. Build, lead, and develop the Loyalty product team. Set a high bar for product discovery, prioritization, experimentation, execution, and accountability, and create an environment where strong product talent can grow. Build a strong measurement system. Establish the measurement framework for Loyalty together with Analytics, combining experimentation, customer insights, and business performance to determine what should scale, evolve, or stop. Skills, Knowledge and Expertise Loyalty, membership, subscription, or engagement product depth. You’ve built and scaled meaningful consumer loyalty, membership, subscription, rewards, or adjacent engagement products - not simply managed promotional campaigns. Strong consumer product background. You’ve built products in a scaled consumer technology environment such as mobility, delivery, marketplaces, e-commerce, travel, fintech, or another high-frequency digital category. End-to-end product ownership. You’ve owned a meaningful product area from strategy and discovery through execution, experimentation, and measurable customer and business outcomes. Behavior-change mindset. You understand how product mechanics, incentives, benefits, status, rewards, and customer experience influence behavior - and know how to distinguish genuine incremental impact from correlation. Strong commercial judgment. You can move fluently between customer experience and economics, understand unit economics and LTV, and make thoughtful trade-offs between growth, customer value, and cost. Experimentation depth. You have strong experience with controlled experimentation, segmentation, and behavioral data and use evidence to make product investment and prioritization decisions. Cross-product thinking. You’ve worked on products that span multiple customer journeys, business lines, or product teams and can create alignment and drive execution without relying solely on direct organizational authority. Multi-market experience. You’ve built or scaled consumer products across multiple countries or regions and understand how customer behavior, willingness to pay, incentives, and economics can differ across markets. 0-to-1 builder who can also scale. You’re comfortable starting with ambiguity, shaping a proposition, validating it with customers and data, and then turning what works into scalable product capabilities. Product leadership. You’ve led and developed product managers, can set a strong product bar, and are comfortable working with senior stakeholders across Product, Engineering, Business, Finance, Marketing, and other functions. Will be an advantage Experience building loyalty or membership products for a multi-service consumer ecosystem or super app. Experience with paid membership or subscription products. Experience with rewards, cashback, wallet, payments, or incentive systems. Experience with personalization, recommendations, CRM, or lifecycle decisioning. Marketplace or two-sided platform experience. Experience in high-growth emerging markets across LATAM, Central Asia, South Asia, Southeast Asia, or Africa. Experience taking a loyalty or membership proposition from initial launch to multi-market scale. 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 116 500 EUR gross. Final benefits may vary depending on the location.

Location: Almaty, Kazakhstan 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 Conditions & 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.

Location: Limassol, Cyprus 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 Conditions & 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. Annual salary from 70 700 EUR gross Final benefits may vary depending on the location.

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: 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: Cairo, Egypt Workplace: hybrid The Grocery Team is responsible for building and evolving the customer experience for grocery delivery — from discovering stores and products to browsing the catalog, managing the cart, and completing checkout. We’re looking for a QA Engineer to join our team Key Responsibilities Test the full grocery customer journey, including store selection, catalog, search, product details, cart, checkout, payment, and order creation. Validate prices, discounts, inventory, product availability, and store-specific assortment across different locations and partners. Test grocery-specific scenarios such as weighted products, substitutions, unavailable items, quantity limits, and minimum order values. Test integrations between the storefront and catalog, pricing, inventory, order, payment, and delivery services, as well as external grocery partners. Validate fallback and degradation scenarios when a partner or internal service is unavailable. Ensure consistent behavior across mobile applications, WebView, and backend APIs. Develop and maintain automated tests and contribute to API, integration, and end-to-end test coverage. Participate in requirements reviews, test strategy, release validation, and investigation of production issues, taking ownership of quality throughout the product lifecycle. Skills, Knowledge and Expertise Strong experience in functional, integration, API, and end-to-end testing across the full customer journey: catalog, search, PDP, cart, checkout, payment, and order creation. Experience testing dynamic pricing, inventory, discounts, product availability, quantity limits, and minimum order value. Experience testing location- or store-specific assortment, including warehouse and geo-based availability. Good understanding of grocery-specific scenarios, such as weighted products, substitutions, unavailable items, and partial orders. Experience testing integrations with catalog, pricing, inventory, order, payment, and delivery services, including third-party partner APIs. Strong understanding of microservices, event-driven and asynchronous architectures, including retries, timeouts, idempotency, duplicate events, and eventual consistency. Experience with REST and/or gRPC APIs and automated API testing; familiarity with tools such as Postman. Experience creating and maintaining automated tests using frameworks such as Playwright, Cypress, Appium, or similar. Ability to investigate issues using logs, metrics, traces, databases, and message queues; experience with tools such as Grafana, CloudWatch, Kibana, Kafka, and SQL. Experience working with CI/CD pipelines, Docker, and AWS-based environments. Ability to validate consistency across mobile applications, WebView, backend APIs, and distributed services, and troubleshoot partial failures and partner/service outages. Experience contributing to test strategy, requirements reviews, release validation, and production issue analysis, with a focus on business risks and product quality throughout the entire development lifecycle. Nice to have: experience with grocery/e-commerce products, mobile testing, contract testing, external partner integrations, performance/load/resilience testing, feature flags, A/B testing, and product metrics such as conversion, add-to-cart rate, checkout completion, error rate, and latency. Conditions & Benefits 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 The Grocery Team is responsible for building and evolving the customer experience for grocery delivery — from discovering stores and products to browsing the catalog, managing the cart, and completing checkout. We’re looking for a QA Engineer to join our team Key Responsibilities Test the full grocery customer journey, including store selection, catalog, search, product details, cart, checkout, payment, and order creation. Validate prices, discounts, inventory, product availability, and store-specific assortment across different locations and partners. Test grocery-specific scenarios such as weighted products, substitutions, unavailable items, quantity limits, and minimum order values. Test integrations between the storefront and catalog, pricing, inventory, order, payment, and delivery services, as well as external grocery partners. Validate fallback and degradation scenarios when a partner or internal service is unavailable. Ensure consistent behavior across mobile applications, WebView, and backend APIs. Develop and maintain automated tests and contribute to API, integration, and end-to-end test coverage. Participate in requirements reviews, test strategy, release validation, and investigation of production issues, taking ownership of quality throughout the product lifecycle. Skills, Knowledge and Expertise Strong experience in functional, integration, API, and end-to-end testing across the full customer journey: catalog, search, PDP, cart, checkout, payment, and order creation. Experience testing dynamic pricing, inventory, discounts, product availability, quantity limits, and minimum order value. Experience testing location- or store-specific assortment, including warehouse and geo-based availability. Good understanding of grocery-specific scenarios, such as weighted products, substitutions, unavailable items, and partial orders. Experience testing integrations with catalog, pricing, inventory, order, payment, and delivery services, including third-party partner APIs. Strong understanding of microservices, event-driven and asynchronous architectures, including retries, timeouts, idempotency, duplicate events, and eventual consistency. Experience with REST and/or gRPC APIs and automated API testing; familiarity with tools such as Postman. Experience creating and maintaining automated tests using frameworks such as Playwright, Cypress, Appium, or similar. Ability to investigate issues using logs, metrics, traces, databases, and message queues; experience with tools such as Grafana, CloudWatch, Kibana, Kafka, and SQL. Experience working with CI/CD pipelines, Docker, and AWS-based environments. Ability to validate consistency across mobile applications, WebView, backend APIs, and distributed services, and troubleshoot partial failures and partner/service outages. Experience contributing to test strategy, requirements reviews, release validation, and production issue analysis, with a focus on business risks and product quality throughout the entire development lifecycle. Nice to have: experience with grocery/e-commerce products, mobile testing, contract testing, external partner integrations, performance/load/resilience testing, feature flags, A/B testing, and product metrics such as conversion, add-to-cart rate, checkout completion, error rate, and latency. Conditions & Benefits 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 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: 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 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: Almaty, Kazakhstan Workplace: hybrid The Grocery Team is responsible for building and evolving the customer experience for grocery delivery — from discovering stores and products to browsing the catalog, managing the cart, and completing checkout. We’re looking for a QA Engineer to join our team Key Responsibilities Test the full grocery customer journey, including store selection, catalog, search, product details, cart, checkout, payment, and order creation. Validate prices, discounts, inventory, product availability, and store-specific assortment across different locations and partners. Test grocery-specific scenarios such as weighted products, substitutions, unavailable items, quantity limits, and minimum order values. Test integrations between the storefront and catalog, pricing, inventory, order, payment, and delivery services, as well as external grocery partners. Validate fallback and degradation scenarios when a partner or internal service is unavailable. Ensure consistent behavior across mobile applications, WebView, and backend APIs. Develop and maintain automated tests and contribute to API, integration, and end-to-end test coverage. Participate in requirements reviews, test strategy, release validation, and investigation of production issues, taking ownership of quality throughout the product lifecycle. Skills, Knowledge and Expertise Experience with grocery/e-commerce products Experience testing dynamic pricing, inventory, discounts, product availability, quantity limits, and minimum order value. Good understanding of grocery-specific scenarios, such as weighted products, substitutions, unavailable items, and partial orders. Experience testing integrations with catalog, pricing, inventory, order, payment, and delivery services, including third-party partner APIs. Experience with REST and/or gRPC APIs and automated API testing; familiarity with tools such as Postman. Experience creating and maintaining automated tests using frameworks such as Playwright, Cypress, Appium, or similar. Ability to validate consistency across mobile applications, WebView, backend APIs, and distributed services, and troubleshoot partial failures and partner/service outages. Nice to have: contract testing, external partner integrations, performance/load/resilience testing, feature flags, A/B testing, and product metrics such as conversion, add-to-cart rate, checkout completion, error rate, and latency. Conditions & Benefits 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: 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: Limassol, Cyprus Workplace: hybrid As Senior Product Manager – Identity & Growth , you will lead the end-to-end vision, strategy, and execution for our registration and authorization funnels—balancing seamless conversion against fraud prevention, security, and strict global compliance (GDPR, data privacy, and localization). Partnering cross-functionally with Design, Engineering, Security, and executive stakeholders, you will align complex product roadmaps and own the domain’s unit economics, optimizing critical operational costs like SMS/OTP without compromising verification rates. Combining deep analytical expertise in session stitching and high-frequency A/B testing with a risk-based onboarding approach, you will champion high-converting, compliant, and cost-effective identity experiences that fuel sustainable growth. Key Responsibilities Boost sign-up and login conversion rates by designing smart onboarding flows that keep user friction low while keeping fraud and security risks under control. Partner with design and research teams to create simple, accessible, and intuitive user experiences that prevent drop-offs. Bring business, engineering, and security teams together to build, align, and execute complex product roadmaps. Take ownership of domain costs—building financial models and finding ways to cut expensive communication costs (like SMS/OTP) while keeping completion rates high. Stay ahead of technical debt, project risks, and data privacy laws (like GDPR and local localization rules) by designing compliant flows that don't hurt conversion. Use advanced analytics including session stitching and high-frequency A/B testing—to deeply understand user behavior across platforms and continually optimize performance. Skills, Knowledge and Expertise 3+ years in Product Management within high-volume Marketplaces, Ride-hailing, FinTech or E-commerce. Ability to critically evaluate design layouts from a conversion perspective. Knowledge of how authentication works, including various delivery/communication channels (SMS, WhatsApp, Push, Passkeys) and their cost/conversion trade-offs. Base-level understanding of microservices architecture and how backend services interact with each other. Proven experience managing a continuous pipeline of concurrent experiments and conducting independent, rigorous post-analysis. You must be able to evaluate tests beyond primary conversion steps, measuring downstream impact (conversion to first ride, GMV), long-term retention, and critical guardrail metrics (fraud rates, cost per verification). Proven ability to manage complex dependencies, align 5+ departments, handle risk evaluation. 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 70 700 EUR gross Final benefits may vary depending on the location.

Location: Lima, Peru Workplace: hybrid We are looking for a Senior AdOps Specialist to architect and scale the advertising ecosystem for our global multi-vertical platform. This role is not just about trafficking; it is a growth-focused, technical leadership position designed for a professional who has managed massive scale at "Big 5" holding companies and top-tier publishers. You will bridge the gap between our Real-Time Deal (RTD) marketplace mechanics and a sophisticated Mobility Media Network (RMN), ensuring every ad impression delivers measurable incremental value. Key Responsibilities Enterprise-Scale Campaign Operations End-to-End Orchestration: Lead the launch and pacing of complex, multi-market campaigns across inDrive’s core ride-hailing and urban services verticals. Platform Mastery: Manage high-volume inventory using Google Ad Manager 360 (GAM360), ensuring precision in segmentation, targeting, and delivery. Retail Media Integration: Implement “digital shelf” strategies to optimize both on-site (in-app) and off-site (social/DSP) conversions. Quality Assurance: Establish rigorous "Big 5" agency-standard QA protocols to ensure 100% accuracy in tracking, brand safety, and creative rendering. Technical Implementation & Automation Workflow Engineering: utilize Python, SQL, and Scrapy to automate manual reporting tasks and audit partner revenue-share models for maximum profitability. Stack Management: oversee the integration of mobile monetization tools and coordinate technical needs with engineering teams for custom ad-product launches. Data Architecture: build advanced dashboards in Looker Studio and Redash that translate raw event data into actionable growth insights. Performance & Yield Optimization Strategic Experiments: execute continuous A/B testing on creative assets and landing pages to improve CTR and user behavior metrics across high-budget campaigns. Yield Management: monitor supply-side health, including fill rates, eCPM, and floor pricing, to maximize revenue without compromising the user experience of the inDrive app. Growth Consulting: act as an internal consultant for new product launches, adapting funnel structures for B2B AI startups or retail partners within the inDrive ecosystem. Qualifications 4+ years of experience in digital advertising, working with leading DSPs (The Trade Desk, DV360, Meta, TikTok) or publishers (500k+ DAU). Deep familiarity with marketplace-led advertising and last-mile conversion metrics. Strong business-oriented mindset, with understanding of the full campaign lifecycle, from commercial agreements and IOs through to campaign delivery, reporting, and post-campaign reconciliation. Strong understanding of web and app technologies (JavaScript, Flutter) with hands-on experience in ad tag implementation (GAM, GPT, native ads, HTML5 creatives). Experience with the ad request lifecycle, rendering, and click tracking. Experience debugging and troubleshooting ad delivery issues, including working with network logs, browser developer tools, and proxy tools such as Charles Proxy. Proficiency in Excel/Google Sheets for analysis and reporting. SQL is a plus. Google Ad Manager (GAM360) certification. Nice to have: Experience with mobile ad integrations (Android/iOS) using SDKs (e.g., Google Mobile Ads SDK). Hands-on experience independently implementing ad integrations across both web and in-app environments. Why join us Help us challenge injustice by creating fair choices for millions of people across 47 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Final benefits may vary depending on the location.

Location: Limassol, Cyprus Workplace: hybrid We are looking for a data-driven Operations & Revenue Manager to own marketplace performance, pricing effectiveness, and revenue optimization across international markets. In this role, you will be responsible for managing supply-demand balance, optimizing pricing and incentive levers, and driving sustainable, profitable growth at the city and country level. You will act as a key business owner for market performance, working closely with Analytics, Product, Finance, and Regional Operations to translate data insights into concrete operational and pricing actions. Key Responsibilities Marketplace Performance Ownership Own end-to-end performance of assigned markets or order types against key KPIs (growth, revenue, utilization, margins etc). Monitor market or order type health through core marketplace metrics and identify performance gaps, risks, and opportunities. Drive corrective actions and optimization initiatives to improve efficiency and profitability. Pricing & Revenue Optimization Define, test, and optimize pricing levers based on local market dynamics and business objectives. Evaluate pricing impact on rider behavior, supply engagement, and overall marketplace balance. Partner with Product and Analytics to implement pricing logic and ensure correct execution in systems. Supply & Demand Management Analyze supply-demand dynamics to maintain a healthy and efficient marketplace. Recommend actions to improve availability, utilization, and service reliability. Coordinate with regional operations teams to adapt strategies to local constraints and conditions. Analytics & Decision Support Use data and dashboards to track performance, diagnose issues, and inform decision-making. Partner with Finance and Analytics on investment analysis, market business cases, and performance reviews. Prepare clear, structured insights and recommendations for senior stakeholders. Cross-Functional Collaboration Act as a key interface between Operations, Product, Analytics, Finance, and Regional teams. Align stakeholders around priorities, timelines, and expected outcomes. Drive execution of cross-functional initiatives from problem definition to post-implementation review. Skills, Knowledge & Expertise 2+ years of experience in operations, revenue management, strategy, analytics, or consulting (marketplace or mobility experience is a strong plus). Strong analytical skills and experience working with large datasets to drive business decisions. Proficient in Excel and SQL; experience with BI tools (Power BI, Tableau) required; Python is a plus. Solid understanding of unit economics, pricing mechanics, and marketplace dynamics. Comfortable owning ambiguous problem spaces and driving decisions in a fast-paced environment. Strong stakeholder management and communication skills. Structured thinker with a bias toward execution and measurable impact. 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 64 700 EUR gross. Final benefits may vary depending on the location.

Location: Mexico City, Mexico Workplace: hybrid We are looking for a highly driven Senior Head of Marketing to lead our growth and brand strategy across Mexico, Brazil, Chile and Central America. This role is critical in shaping how inDrive scales, connects with users, and strengthens its position as a fair and people-first mobility platform. Key Responsibilities Own and drive the end-to-end marketing strategy across the Region, focusing on Passenger Acquisition, Retention, and Brand Growth Translate business goals into integrated, full-funnel marketing plans , combining performance, brand, offline channels, and partnerships Drive customer-centric growth , deeply understanding user behavior, needs, and regional nuances across markets Lead the development of strong local brand positioning , ensuring consistency while allowing for cultural relevance Lead efficient allocation and optimization of marketing investments , ensuring measurable impact on key business metrics Build, lead, and inspire a high-performing, matrix-structured team across multiple markets Collaborate closely with cross-functional leaders (Product, Operations, Analytics, PR, etc.) to deliver scalable and impactful initiatives Continuously improve marketing effectiveness , leveraging experimentation, insights, and innovation Mentor and develop senior marketing leaders, fostering a strong leadership bench across the region Skills, Knowledge & Expertise 8+ years in digital consumer marketing, including 4–5 years in senior leadership roles Proven track record of building and scaling marketing teams , ideally in multicultural and matrix environments Strong experience with mobile-first products , preferably in ride-hailing, marketplaces, or high-growth tech companies Demonstrated success in developing and executing large-scale marketing strategies with clear business impact Strong leadership and stakeholder management skills, with the ability to influence senior executives Hands-on experience managing large marketing budgets with a focus on ROI and efficiency Highly data-driven , with the ability to turn insights into actionable strategies Fluency in English and Spanish Job Benefits A key leadership role in a fast-growing, global tech company redefining ride-hailing A collaborative and entrepreneurial environment where ideas are valued and ownership is encouraged The opportunity to shape the future of mobility and make a real impact Continuous growth through challenging, high-impact work Competitive compensation Clear path for career progression and leadership growth