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

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

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

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

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

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

Location: Almaty, Kazakhstan Workplace: onsite We're looking for a cross-functional Project Manager to bridge our FinTech Product and Business teams, own a large share of country-level monetisation work, and support new market launches. You'll keep fintech initiatives moving by coordinating non-standard projects with Legal and Tax, and by building playbooks that stop recurring legal, tax, and regulatory issues from blocking product work. This is an individual contributor role that works closely with Legal, Tax, local business, Product, and Analytics/Strategy teams. Key Responsibilities Special fintech projects — Lead non-standard, cross-functional fintech product projects from start to finish. Define scope and timelines, coordinate the teams involved, flag dependencies and requirements early, and keep delivery on track. Unblocking product delivery — Identify what slows down or blocks fintech product initiatives across functions. Resolve issues with the relevant teams and escalate when needed so product work keeps moving. Playbooks & shared learnings — Turn recurring blockers, requirements, and their solutions into reusable playbooks. Share them across product and regional teams so the same issues don't come up again on future projects. Country monetization schemes — Own coordination with local business teams and supporting functions on designing and adjusting country-level monetization schemes. Identify where schemes need to change and drive those changes through to implementation. Monetization planning — Work with analysts and strategists to build monetization plans for each country or region, bringing together input from all relevant teams. New country launches — Support fintech launches in new markets by coordinating readiness across product, local business, and supporting functions. Skills, Knowledge & Expertise 4–6 years in project management, business operations, or fintech/product, ideally with multi-market exposure Proven track record of driving cross-functional projects to completion without direct authority Strong stakeholder management and communication skills Ability to turn ambiguous problems into clear plans, owners, and timelines Fluency in English and Russian Understanding of payment and monetization models is a plus Why join us Help us challenge injustice by creating fair choices for millions of people across 47 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Final benefits may vary depending on the location.

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

Location: 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 We are looking for a Strategy & Operations Manager to act as an independent execution and problem-solving partner to the business leadership team. This is not a traditional PMO role. The mandate is broader: create transparency, challenge performance, solve cross-functional problems, and make sure our most important initiatives actually get delivered. You will work horizontally across Product, Operations, Commercial, Finance, Legal, and other functions, with visibility across the full portfolio of strategic initiatives. Your job is simple to describe but difficult to execute: know what matters, know what is happening, identify what is not working, and drive it to resolution. Key Responsibilities 1. Own strategic execution Maintain an end-to-end view of the business's most critical initiatives and their performance. Translate strategic priorities into clear projects, milestones, owners, KPIs, and deadlines. Drive high-priority projects directly when dedicated ownership is missing or additional execution power is required. Ensure commitments turn into measurable outcomes-not just meetings, updates, and presentations. Step into stalled or ambiguous initiatives and drive them back to execution. 2. Act as an independent performance partner Build a fact-based view of whether projects, teams, and initiatives are delivering against expectations. Challenge assumptions, timelines, priorities, and reported progress when necessary. Identify gaps between reported status and actual business impact. Diagnose underperformance and distinguish between strategy, execution, ownership, resource, and capability problems. Escalate material risks early and ensure corrective actions are defined and executed. 3. Solve cross-functional problems Step into the "messy middle" between functions where ownership is unclear and execution gets stuck. Structure ambiguous problems quickly and turn them into actionable decisions. Align Product, Operations, Finance, Legal, Commercial, and other stakeholders around a single execution path. Identify blockers, resolve dependencies, and drive decisions with pace. Act as a neutral partner focused on the overall business outcome rather than the interests of an individual function. 4. Build execution discipline Establish a lightweight but rigorous operating rhythm for strategic initiatives. Create a single source of truth for priorities, status, decisions, risks, and dependencies. Ensure every critical initiative has clear ownership, measurable outcomes, and transparent progress. Run project and portfolio reviews focused on decisions and actions rather than status reporting. Continuously improve how the organisation manages projects and executes strategic priorities. 5. Support strategic decision-making Turn complex operational and performance data into clear management insights. Build business cases and conduct quantitative and qualitative analysis for major strategic decisions. Evaluate new opportunities, growth bets, and operating-model improvements. Prepare concise, decision-oriented materials for senior leadership. Connect strategy with execution: understand not only what we should do, but whether and how the organisation can actually deliver it. What success looks like Success in this role is not measured by the number of projects tracked or meetings facilitated. It is measured by: Transparency - leadership always knows the real status of critical priorities. Accountability - every important outcome has an owner, deadline, and measurable result. Speed - blockers and unresolved decisions do not remain unresolved for weeks. Execution quality - strategic initiatives move from discussion to implementation. Business impact - the portfolio delivers measurable improvements in growth, efficiency, quality, or scalability. Qualifications You should be: Extremely structured and comfortable bringing order to ambiguity. Strong in project and program management, with the ability to lead multiple critical initiatives simultaneously. Highly analytical and able to independently challenge numbers, assumptions, and conclusions. Comfortable working directly with senior leaders and holding stakeholders accountable. Able to influence without formal authority. Pragmatic and execution-oriented-you naturally move from discussion to decision to action. Comfortable entering unfamiliar areas, learning quickly, and solving problems independently. Strong at communicating complex topics simply and concisely. Naturally curious and persistent: when something does not make sense, you keep digging until it does. The ideal candidate does not simply track the business. They help the business execute better. 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 75 600 EUR gross 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: Abu Dhabi, United Arab Emirates Workplace: hybrid Autonomous vehicles are coming to the markets in which inDrive serves, but the AV industry has a blind spot: it has almost no data from the cities where we operate. inDrive runs one of the world's largest ride-hailing fleets, concentrated in exactly the emerging markets global AV players have yet to reach. We are building the team that turns that fleet into an AV grade data platform: large scale multi sensor collection from real vehicles on real trips, evaluation of driving models against human drivers, automated and human in the loop causal annotation, and camera first 3D scene reconstruction for simulation. We are hiring the founding leader of this workstream. This is a rare true zero to one: you will hire the team, stand up the vehicles and the data platform, set the technical bar, and own delivery end to end. Key Responsibilities Own the AV data workstream end to end. Roadmap, execution, quality, and outcomes, from vehicle data capture through processing, annotation, and delivery of AV-grade datasets Build the team from zero. Hire and lead a multi disciplinary team covering large scale data engineering, search and serving, ML engineering across divergence detection, edge inference, and VLM based auto labeling, 3D reconstruction research, and data annotation operations. Own the hiring bar and the team's growth Management : Manage ML engineers' charter across the cluster Set technical direction across disciplines. Provide design authority for the full pipeline, including onboard capture, cloud ingestion and processing at fleet scale, semantic and causal labeling, and neural scene reconstruction, and make the key technical decisions on evidence Partner with leaders across the organization. Work closely with the leaders of data platform, ML ops, geo and mapping, and inDrive's wider autonomous vehicle initiatives to align roadmaps, share infrastructure, and unblock delivery Own external partnerships. Drive the technical relationships this work depends on, including the NVIDIA AV ecosystem and prospective AV partners consuming our data Balance research and delivery. Several of the core questions here are open research. You frame milestones as decision gates, redirect work based on evidence, and keep the team shipping measurable results on a schedule Skills, Knowledge and Expertise 10+ years of engineering experience in applied ML, autonomous systems, or large-scale data and ML platforms, including 3+ years in the autonomous vehicle industry or closely adjacent autonomy domains (AV data, simulation, or evaluation platforms, ADAS, robotics perception, HD mapping), and 4+ years managing engineering teams, with a track record of building teams from scratch and delivering from zero to one Strong command of the modern AV and foundation model landscape: vision-language models, multi-modal perception, 3D reconstruction and neural rendering, and the NVIDIA AV ecosystem. Deep enough to set direction, review designs, and make evidence-based technical calls Genuine engineering leadership range: you have successfully led data engineering, platform, or infrastructure delivery, not only ML research, and can evaluate and unblock work across those disciplines Proven ability to take large-scale ML systems from conception to production: data pipelines, training and evaluation infrastructure, and models running under real-world constraints Strong external presence: experience owning technical partnerships, vendor and licensing relationships, or customer-facing technical engagements at a senior level Deep fluency in the modern ML stack (PyTorch or equivalent, large-scale training and inference, Python and Linux) and in cloud data platforms at multi-terabyte scale Bachelor's degree in Computer Science, Engineering, or a related field Nice to have: AV industry experience specifically in offline evaluation, data mining, annotation platforms, or simulation, as distinct from on-vehicle stack development Advanced degree (MS or PhD) in ML, robotics, or computer vision Experience operating in emerging markets, and comfort building where the playbook does not exist yet Why join us Help us challenge injustice by creating fair choices for millions of people across 47 countries Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects Work alongside people who take initiative, speak openly, and challenge themselves to grow Improve your language skills through co-financed courses and internal speaking clubs Final benefits may vary depending on the location.

Location: Jakarta, Indonesia Workplace: hybrid inDrive's Forecasting product turns large-scale marketplace data into daily and monthly forecasts of the company's core supply, demand and financial metrics. These forecasts are the backbone of target setting, financial planning and scenario analysis for business teams and leadership. We are looking for a Senior Analyst to own this product: the quality and credibility of the numbers, the planning processes they feed, and the story behind every deviation. You will take over a working production solution (Python, BigQuery) and keep it reliably serving the business — but the core of the role is not modeling for its own sake. It is understanding how the business works: how pricing, incentives, marketing and market events move metrics, how those metrics connect to each other, and what decision-makers need from a forecast to plan with confidence. Key Responsibilities Business & planning Own the forecast as a decision-making product: track plan vs actual, decompose variances into business drivers (seasonality, pricing, incentives, marketing, external events), and explain in business terms why the numbers changed Support company planning cycles: provide forecast baselines for target setting and budgeting, and align assumptions with finance and business stakeholders Build and run scenario ("what-if") analysis for planned interventions: pricing changes, incentive and marketing spend, product launches, market expansion Maintain the dependency logic connecting supply, demand and financial metrics, so that forecasts stay mutually consistent and aggregate correctly across markets Translate ambiguous business questions into measurable forecasting problems; communicate assumptions, uncertainty and limitations clearly to both business and technical audiences Forecast production Run and monitor recurring daily and monthly forecasts: data completeness, sanity checks, run-over-run drift Investigate anomalies end to end — from inputs and business transformations to forecast outputs — getting to the business reason, not just a technical fix Improve models pragmatically: baselines, honest validation, and model choices driven by measurable planning value rather than sophistication. Keep the solution maintainable: readable Python, documentation, versioned changes Skills, Knowledge and Expertise 4+ years in analytics, forecasting or planning roles — for example marketplace or product analytics, demand planning, or decision science Strong understanding of how a business is planned: plan/fact cycles, target setting, driver-based models, unit economics. You see business metrics as a connected system, not as isolated time series Practical command of time-series forecasting — seasonality, holidays, external regressors, structural breaks, missing data — enough to own and improve production models Confident Python (pandas ecosystem): able to maintain and extend an existing production codebase Advanced SQL and experience with large datasets in a cloud data warehouse Rigorous validation habits: appropriate baselines, no data leakage, error metrics tied to business impact Ownership mindset: comfortable investigating issues across data, model, and integration boundaries Professional working proficiency in English and the ability to defend a number in front of senior stakeholders Nice to have: Background in mobility, marketplaces or other supply-and-demand systems Experience supporting financial planning, S&OP or budgeting processes Econometrics and causal inference; marketing-response models (adstock, saturation, investment payback) Hierarchical forecasting across multiple markets Experience owning or supporting production batch pipelines; BigQuery, Git-based workflows, CI/CD Technology environment Python (pandas, NumPy, scikit-learn, Prophet), BigQuery, Databricks, Git and GitHub Actions. This is an analyst role in an engineering-friendly environment: you should be at home in this stack, but deep ML engineering is not the core of the job. Why join us Help us challenge injustice by creating fair choices for millions of people across 48 countries Develop your professional skills with access to mentoring, career consulting, and learning programs Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects Work alongside people who take initiative, speak openly, and challenge themselves to grow Improve your language skills through co-financed courses and internal speaking clubs Final benefits may vary depending on the location.

Location: Limassol, Cyprus Workplace: hybrid inDrive's Forecasting product turns large-scale marketplace data into daily and monthly forecasts of the company's core supply, demand and financial metrics. These forecasts are the backbone of target setting, financial planning and scenario analysis for business teams and leadership. We are looking for a Senior Analyst to own this product: the quality and credibility of the numbers, the planning processes they feed, and the story behind every deviation. You will take over a working production solution (Python, BigQuery) and keep it reliably serving the business — but the core of the role is not modeling for its own sake. It is understanding how the business works: how pricing, incentives, marketing and market events move metrics, how those metrics connect to each other, and what decision-makers need from a forecast to plan with confidence. Key Responsibilities Business & planning Own the forecast as a decision-making product: track plan vs actual, decompose variances into business drivers (seasonality, pricing, incentives, marketing, external events), and explain in business terms why the numbers changed Support company planning cycles: provide forecast baselines for target setting and budgeting, and align assumptions with finance and business stakeholders Build and run scenario ("what-if") analysis for planned interventions: pricing changes, incentive and marketing spend, product launches, market expansion Maintain the dependency logic connecting supply, demand and financial metrics, so that forecasts stay mutually consistent and aggregate correctly across markets Translate ambiguous business questions into measurable forecasting problems; communicate assumptions, uncertainty and limitations clearly to both business and technical audiences Forecast production Run and monitor recurring daily and monthly forecasts: data completeness, sanity checks, run-over-run drift Investigate anomalies end to end — from inputs and business transformations to forecast outputs — getting to the business reason, not just a technical fix Improve models pragmatically: baselines, honest validation, and model choices driven by measurable planning value rather than sophistication. Keep the solution maintainable: readable Python, documentation, versioned changes Skills, Knowledge and Expertise 4+ years in analytics, forecasting or planning roles — for example marketplace or product analytics, demand planning, or decision science Strong understanding of how a business is planned: plan/fact cycles, target setting, driver-based models, unit economics. You see business metrics as a connected system, not as isolated time series Practical command of time-series forecasting — seasonality, holidays, external regressors, structural breaks, missing data — enough to own and improve production models Confident Python (pandas ecosystem): able to maintain and extend an existing production codebase Advanced SQL and experience with large datasets in a cloud data warehouse Rigorous validation habits: appropriate baselines, no data leakage, error metrics tied to business impact Ownership mindset: comfortable investigating issues across data, model, and integration boundaries Professional working proficiency in English and the ability to defend a number in front of senior stakeholders Nice to have: Background in mobility, marketplaces or other supply-and-demand systems Experience supporting financial planning, S&OP or budgeting processes Econometrics and causal inference; marketing-response models (adstock, saturation, investment payback) Hierarchical forecasting across multiple markets Experience owning or supporting production batch pipelines; BigQuery, Git-based workflows, CI/CD Technology environment Python (pandas, NumPy, scikit-learn, Prophet), BigQuery, Databricks, Git and GitHub Actions. This is an analyst role in an engineering-friendly environment: you should be at home in this stack, but deep ML engineering is not the core of the job. Why join us Help us challenge injustice by creating fair choices for millions of people across 48 countries Develop your professional skills with access to mentoring, career consulting, and learning programs Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects Work alongside people who take initiative, speak openly, and challenge themselves to grow Improve your language skills through co-financed courses and internal speaking clubs Annual salary from EUR 70 700 gross Final benefits may vary depending on the location.

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

Location: Almaty, Kazakhstan Workplace: hybrid inDrive's Forecasting product turns large-scale marketplace data into daily and monthly forecasts of the company's core supply, demand and financial metrics. These forecasts are the backbone of target setting, financial planning and scenario analysis for business teams and leadership. We are looking for a Senior Analyst to own this product: the quality and credibility of the numbers, the planning processes they feed, and the story behind every deviation. You will take over a working production solution (Python, BigQuery) and keep it reliably serving the business — but the core of the role is not modeling for its own sake. It is understanding how the business works: how pricing, incentives, marketing and market events move metrics, how those metrics connect to each other, and what decision-makers need from a forecast to plan with confidence. Key Responsibilities Business & planning Own the forecast as a decision-making product: track plan vs actual, decompose variances into business drivers (seasonality, pricing, incentives, marketing, external events), and explain in business terms why the numbers changed Support company planning cycles: provide forecast baselines for target setting and budgeting, and align assumptions with finance and business stakeholders Build and run scenario ("what-if") analysis for planned interventions: pricing changes, incentive and marketing spend, product launches, market expansion Maintain the dependency logic connecting supply, demand and financial metrics, so that forecasts stay mutually consistent and aggregate correctly across markets Translate ambiguous business questions into measurable forecasting problems; communicate assumptions, uncertainty and limitations clearly to both business and technical audiences Forecast production Run and monitor recurring daily and monthly forecasts: data completeness, sanity checks, run-over-run drift Investigate anomalies end to end — from inputs and business transformations to forecast outputs — getting to the business reason, not just a technical fix Improve models pragmatically: baselines, honest validation, and model choices driven by measurable planning value rather than sophistication. Keep the solution maintainable: readable Python, documentation, versioned changes Skills, Knowledge and Expertise 4+ years in analytics, forecasting or planning roles — for example marketplace or product analytics, demand planning, or decision science Strong understanding of how a business is planned: plan/fact cycles, target setting, driver-based models, unit economics. You see business metrics as a connected system, not as isolated time series Practical command of time-series forecasting — seasonality, holidays, external regressors, structural breaks, missing data — enough to own and improve production models Confident Python (pandas ecosystem): able to maintain and extend an existing production codebase Advanced SQL and experience with large datasets in a cloud data warehouse Rigorous validation habits: appropriate baselines, no data leakage, error metrics tied to business impact Ownership mindset: comfortable investigating issues across data, model, and integration boundaries Professional working proficiency in English and the ability to defend a number in front of senior stakeholders Nice to have: Background in mobility, marketplaces or other supply-and-demand systems Experience supporting financial planning, S&OP or budgeting processes Econometrics and causal inference; marketing-response models (adstock, saturation, investment payback) Hierarchical forecasting across multiple markets Experience owning or supporting production batch pipelines; BigQuery, Git-based workflows, CI/CD Technology environment Python (pandas, NumPy, scikit-learn, Prophet), BigQuery, Databricks, Git and GitHub Actions. This is an analyst role in an engineering-friendly environment: you should be at home in this stack, but deep ML engineering is not the core of the job. Why join us Help us challenge injustice by creating fair choices for millions of people across 47 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Final benefits may vary depending on the location.