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Location: Singapore, Singapore Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About the Opportunity We are seeking an experienced and detail-oriented Product Designer to join the OKX team, focused on VIP and Deposit & Withdraw experiences. You'll help guide the team's attention to UX craft and lead cross-functional design alignment and efficiency across our global apps. This pivotal role focuses on crafting dynamic and engaging experiences for our highest-value users and the deposit and withdrawal journeys that underpin every product on the platform, including how those journeys connect to Earn. As part of this role, you will be part of a world-class team shaping how VIP users experience tiering, benefits, and recognition, as well as how all users move funds in and out of OKX across fiat and crypto rails. Collaboration is key in this position, as you will work closely with our global design, product, creative, strategy, engineering, and research teams to elevate the cutting edge of our product offerings. Your contributions will steer the development and implementation of new concepts for VIP and Deposit & Withdraw, deliver designs aligned with business objectives. The right candidate for this role possesses a detail-oriented approach to user experience, with a passion for holistic product-design thinking. As a strategic partner to cross-functional teams, you should excel in adaptability and conversing with stakeholders, while continuing to maintain a focus on excellent user experience and product quality. What You’ll Be Doing Leverage data, insights, and user feedback to bring human voices into problem statements, product interfaces, and user journeys Generate ideas quickly, and connect regularly with customers to validate directions Participate in design critiques and present work in product leadership feedback meetings Own end-to-end design quality for VIP and Deposit & Withdraw, which includes advocating for UX craft and users Design VIP tiering, benefits, and recognition experiences, including how Earn perks and bonuses surface for VIP users Design deposit and withdrawal flows across fiat and crypto rails that are fast, trustworthy, and easy to follow Co-lead the product development process, influencing strategic decisions improve the overall product experience, and ensure consistency Partner with visual designers, product managers, user researchers, and engineers across markets to build and ship experiences that represent the company vision Work across teams to drive consensus and advocate for solutions that balance the needs of our users with our business goals Think systematically about UI patterns and reusable solutions, designing not just individual screens but scalable components that work across features and contexts Contribute to and evolve our design system by identifying opportunities to abstract one-off designs into well-documented, flexible components that accelerate the team What We Look For In You Must be native to crypto and have experience in investing in Cefi or DeFi Requires 5-8 years of Product Design experience, with a Bachelor’s degree in Product Design, Web Design, or equivalent project/portfolio experience Experience designing outstanding digital products in an agile development environment with cross-functional partners, backed by a portfolio that showcases modern design work and demonstrates your ability to design mobile-first digital Deep understanding of human-centered design principles, and proficient in dissecting complex problems and tasks, translating them into user-centric, data-driven experiences that are intuitive and inclusive Extensive background in developing digital products and experiences through comprehensive knowledge of user research, user experience, interaction design, and prototyping techniques, and demonstrated expertise in employing design methodologies and tools to facilitate cross-functional collaboration in understanding and meeting user needs Skilled in thriving within a fast-paced environment, adept at managing multiple dependencies, prioritizing tasks independently, and demonstrating flexibility while proactively addressing challenges Strong presentation, interpersonal and communication skills, with experience articulating complex and abstract concepts persuasively, providing rationale behind decisions, remaining open to feedback, and confidently representing viewpoints Systems-level design thinking: you naturally spot patterns across flows and proactively create reusable, scalable components rather than solving each screen in isolation, with experience building, documenting, or contributing to a component library or design system Nice to Haves Knowledge of OKX VIP, Deposit & Withdraw, and Earn products Experience working with teams across offices and US time zones Experience using AI tools (Figma plugins, generative design, prompt-based prototyping) to accelerate design workflows and explore concepts faster Experience using AI to build systematic design approaches, moving beyond screen-by-screen design to construct interactive, high-fidelity flows that can be explored and validated end to end Highlights of Perks and Benefits Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! #LI-EW1 Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: Multiple Countries Nitka Technologies develops software for customers in the US and Europe and brings together about 300 professionals from Eastern Europe, North and South America, Armenia, Georgia and Kazakhstan. We are looking for an experienced DBA (Databricks) for a long-term project. The customer is a company in California, an industry leader in the sale of tickets to events in Europe and the USA. We offer 100%  remote, full-time work. Main tasks: Manage multiple Databricks workspaces (dev/qa/prod); Configure cluster policies, governance & compliance; Create & maintain unity catalog objects: catalogs, schemas, grants, service principals, external storage etc; Monitor and debug failed / long-running jobs using system tables (job_run_timeline, node_timeline, workflow_run); Troubleshoot cluster crashes, driver OOM, executor failures, memory leaks; Investigate Python / Spark errors, dependency conflicts (PyPI, WHL, Maven) Assist users with cluster/job configuration, notebook errors, unity catalog permissions; Explain platform limitations and best practices to Data engineers; Maintain confluence pages with platform rules & troubleshooting guides; Requirements: Experience in implementation, integration or technical support; Experience with Linux, Bash; Confident SQL skills; Strong experience of working with AWS Infrastructure (ec2, s3, iam, vpc, secret management, sqs); Experience with Python sufficient for writing small scripts or applications; Experience of maintaining Databricks jobs & environments; Experience with REST API/SDK; Understanding of file-based databases (DeltaLake, Parquet, Hive); Understanding of of cluster types & node families; Spoken English at Intermediate level or higher; Would be a plus: Databricks REST API / Databricks SDK; Working with schema evolution, time travel, vacuum, compaction, z-order; Debugging corrupted delta tables (conflicting commits, tombstones, missing checkpoints); Understanding of acid implementation on top of object storage; Spark knowledge (jobs, partitions, queries), experience in Kafka or similar technology, familiarity with Terraform / Gitlab CI; Cost monitoring for platform services and objects; Experience in enterprise Data platforms; Working conditions: Nearshore candidates preferred, with availability to work EST or Pacific Time hours Remote work with no time trackers, flexible working hours Full-time (8 hours/day) Attractive USD compensation Paid vacation, holidays, sick leaves

Location: Multiple Countries Nitka Technologies develops software for customers in the US and Europe and brings together about 300 professionals from Eastern Europe, North and South America, Armenia, Georgia and Kazakhstan. We are looking for an experienced Platform Administrator (Databricks) for a long-term project. The customer is a company in California, an industry leader in the sale of tickets to events in Europe and the USA. We offer 100%  remote, full-time work. Main tasks: Manage multiple Databricks workspaces (dev/qa/prod); Configure cluster policies, governance & compliance; Create & maintain unity catalog objects: catalogs, schemas, grants, service principals, external storage etc; Monitor and debug failed / long-running jobs using system tables (job_run_timeline, node_timeline, workflow_run); Troubleshoot cluster crashes, driver OOM, executor failures, memory leaks; Investigate Python / Spark errors, dependency conflicts (PyPI, WHL, Maven) Assist users with cluster/job configuration, notebook errors, unity catalog permissions; Explain platform limitations and best practices to Data engineers; Maintain confluence pages with platform rules & troubleshooting guides; Requirements: Experience in implementation, integration or technical support; Experience with Linux, Bash; Confident SQL skills; Strong experience of working with AWS Infrastructure (ec2, s3, iam, vpc, secret management, sqs); Experience with Python sufficient for writing small scripts or applications; Experience of maintaining Databricks jobs & environments; Experience with REST API/SDK; Understanding of file-based databases (DeltaLake, Parquet, Hive); Understanding of of cluster types & node families; Spoken English at Intermediate level or higher; Would be a plus: Databricks REST API / Databricks SDK; Working with schema evolution, time travel, vacuum, compaction, z-order; Debugging corrupted delta tables (conflicting commits, tombstones, missing checkpoints); Understanding of acid implementation on top of object storage; Spark knowledge (jobs, partitions, queries), experience in Kafka or similar technology, familiarity with Terraform / Gitlab CI; Cost monitoring for platform services and objects; Experience in enterprise Data platforms; Working conditions: Remote work with no time trackers, flexible working hours Full-time (8 hours/day) Attractive USD compensation Paid vacation, holidays, sick leaves

Location: Almaty, Kazakhstan Workplace: hybrid We are seeking an Arts & Culture Producer to lead inVision’s art activations: public installations, exhibitions, live events and cultural partnerships that carry our initiatives’ messages to a mass audience. The role sits in the Media, Art and Narrative Domain, inVision’s in-house marketing, content and storytelling engine, which turns each initiative’s mission into campaign strategy, content, art and distribution that change how people think and act across the Global South. Together with each initiative, the role decides where art is the strongest tool, takes every activation from first idea to the moment the audience meets the work and designs it to travel beyond the room through press, social, out-of-home and the inDrive app, with impact goals set before launch. It also builds the network of artists, venues and cultural partners that lets inVision repeat and grow this work. Key Responsibilities Build the art activations approach across the initiatives: where art adds the most value, which formats to use, and how it fits each comms plan and budget. Deliver activations end to end: artist selection, commissioning, production, logistics, installation and on-site delivery. Hire and manage contractors (fabricators, AV and build teams) and hold them to a high standard of finish. Manage budgets, timelines, suppliers and venues for every activation. Plan earned media and content from the start, so each activation reaches press, social and out-of-home. Agree impact goals before launch, then work with Project Managers and research partners to show how the work shifted the audience. Build and steward a network of artists, galleries, cultural institutions, festivals, local partners and funders. Protect brand, dignity and careful imagery on sensitive subjects, check every venue and partner before committing, and secure artists’ rights to film, photograph and use the work across inVision’s channels. Skills, Knowledge and Expertise Education: A background in art, design, architecture, film, live events or media production is an advantage. Experience: 7+ years producing complex projects from idea to delivery (art, live events, exhibitions, media production or similar), running the production yourself. International or cross-country project experience is an advantage. People management: Strong experience leading external contractors, suppliers and artists is required. Knowledge and skills: End-to-end production management: budgets, timelines, suppliers, venues, logistics and installation Briefing, negotiating with and managing contractors and suppliers Artist commissioning, contracts, rights and consents Campaign planning: how channels, audiences and earned media work Setting impact goals and working with research partners to measure results Languages: English (Advanced, C1) Key Competencies Ownership: sees what needs doing and drives it to the end without waiting to be asked High standards of execution and attention to detail Strategic thinking: connects each idea to the initiative’s goals and makes the case to stakeholders Stakeholder management across initiatives and countries Cultural sensitivity, and real care for mission and social impact

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

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

Location: Limassol, Cyprus Workplace: hybrid As Senior Product Manager for Compliance , you’ll own the platform that decides who can drive, deliver, and use inDrive across 47 countries—directly impacting user safety, regulatory posture, and bottom-line risk. You will lead the transformation of our driver compliance tools into a scalable Compliance Platform capable of supporting new business lines, global audits, and strict data privacy standards while powering regional expansion today. Key Responsibilities Set Compliance Strategy: Own the long-term vision and strategy for compliance at inDrive. Secure leadership commitment to it. Own the Compliance Product: Own end to end the product that decides who can take orders on inDrive: document requirements by market, document processing, and access control. Support Regional Compliance: Own how requests from regional compliance teams are taken in and prioritized against regulatory risk and business impact. Launch Markets and Requirements: Be accountable for compliance readiness of new country launches and new regulatory requirements. Reduce Compliance Incident Costs: Own the cost of compliance incidents, including fines, suspensions, and mass access restrictions. Build for Audit and Privacy: Make sure the product meets local data-protection laws and regulatory audit requirements. Drive Cross-Functional Delivery: Align roadmaps across Regional Compliance, Legal, Operations, Risk, Engineering, and leadership. Skills, Knowledge and Expertise Product Experience: 5+ years of product management experience at high-volume platforms (Ride-hailing, On-Demand Marketplaces, FinTech, or Logistics), with a focus on platform or internal products that other teams and services depend on. Rules-Driven Products: Experience building products where external or policy requirements set the logic, such as compliance, risk, Trust & Safety, payments or tax. Experience working directly with legal or regulatory teams is a plus. Records & Lifecycle: Experience with products that manage accounts, documents and their statuses over time, such as onboarding or account management, where data quality and decision history matter. Multi-Market Launches: Experience launching or adapting products across several countries with different local requirements. Platform Evolution: Experience moving a live system onto a new platform without disrupting operations, and turning repeated one-off requests into configurable solutions. Systems Literacy: Ability to partner closely with engineering teams on data models, integrations and rules configuration without needing to write code yourself. Data & Business Acumen: Highly analytical, with experience making trade-offs between risk, lost supply and cost. Stakeholder Management: Experienced in leading alignment across business, operational and technical teams and leadership. Communication: Business-fluent English proficiency (B2/C1+ or equivalent). Why join us Help us challenge injustice by creating fair choices for millions of people across 47 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Annual salary from 70 700 EUR gross. Final benefits may vary depending on the location.

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

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

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: Almaty, Kazakhstan Workplace: hybrid Delivery Hub is one of inDrive’s business units responsible for building and scaling the delivery product, which is rapidly expanding into new markets and adopting an AI-first approach to engineering processes. We are looking for a Tech Lead who will combine hands-on engineering with leadership responsibilities: owning team delivery and execution, defining technical direction and ensuring solution quality, as well as supporting engineers’ growth through feedback, mentoring, and regular 1:1s under the guidance of an Engineering Manager. Key Responsibilities Translate business needs into a technical strategy with measurable outcomes. Ensure alignment with the global company strategy. Identify and propose architectural and technical improvements across the product and platform, using data and trade-off analysis. Advocate, present, and defend technical solutions at the organizational level in collaboration with various stakeholders (Product, Data, Security, SRE, etc.). Participate in reviewing product & technical strategies as a subject-matter expert. Lead the process of technical research and implementation to create or improve services and systems. Write clean, effective, and maintainable code based on company standards. Participate in improving company-wide code and review standards. Take ownership of and improve the Android development lifecycle. Help engineers grow and increase their productivity. Create effective processes for knowledge sharing and collaborative work. Increase the re-use of best practices across teams. Lead task decomposition; mentor engineers and contribute to engineering guidelines. Skills, Knowledge and Expertise 6+ years of commercial Android development; expert in Kotlin and modern Android APIs. Hands-on experience with Retrofit/OkHttp, Coroutines/Flow (plus RxJava for legacy), Jetpack (Compose, WorkManager), Google Maps, FCM, and Gradle. Proven experience with CI/CD (GitHub Actions/GitLab CI), feature flags, and large-scale A/B experimentation. Strong grasp of offline storage, concurrency, performance tuning, and network debugging. Practical expertise in Clean Architecture and mainstream patterns (MVI/MVVM/MVP) applied in production. Deep understanding of client-server interaction and how to make it efficient. Knowledge of specific features and limitations for various use cases. Proven record of mentoring and technical leadership, shaping processes, and raising engineering quality across teams. Strong grasp of backend-service principles, API design, networking, concurrency, and performance optimization. Experience setting up telemetry, dashboards, and automated alerts for production systems; risk assessment and mitigation. Exceptional communication, strategic thinking, and influence; able to drive alignment across multiple teams. AI-first mindset and readiness to adopt AI tools in engineering processes. Real backend development experience is a strong 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: Islamabad, Pakistan Workplace: hybrid The AI Solution Delivery team is expanding its capabilities in NLP to build production-grade AI products. We are looking for a Senior Data Scientist to architect, build and deploy complex models for automating customer support operations. You will be responsible for selecting the right technical approaches and ensuring the scalability of our solutions. A proven track record in applying advanced NLP techniques to real-world problems is required. Key Responsibilities Lead the entire machine learning model lifecycle, from initial research and hypothesis testing to production deployment and maintenance Translate complex business goals into well defined data science problems and quantifiable metrics Design and develop robust, scalable machine learning systems from scratch, including data analysis, annotation, and processing pipelines Contribute to the overall system architecture and integrate ML models with existing backend services and infrastructure Monitor and maintain deployed models, proactively identifying and addressing issues like concept drift to ensure consistent performance Support the development and growth of other team members through mentorship and participation in onboarding programs Drive continuous improvement by automating repetitive tasks and proposing innovative solutions that lead to significant business impact Communicate complex technical concepts and findings clearly and concisely to both technical and non technical stakeholders Skills, Knowledge and Expertise 5 years of professional experience in a data science or machine learning role with deep focus on NLP. Previous software engineering experience is preferrable. An academic background in a quantitative field such as Computer Science, Mathematics, or a related discipline will be a plus Expert level proficiency in Python and its core data science libraries (e.g., Pandas, NumPy, Scikit learn). Deep expertise in classic machine learning and deep learning techniques, with a strong understanding of advanced mathematics relevant to these fields. Experience with ML system design and MLOps practices for building, testing, deploying, and monitoring models in a production environment. Proven experience with event systems, deployment environments, and maintaining production services. Familiarity with technologies for streaming, batch, and async data processing. Strong understanding of software system design principles and the ability to contribute to architectural discussions. Experience in experimental design to validate hypotheses and measure the effectiveness of solutions. A solid grasp of security, risk, and control concepts in a production environment. 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: 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.