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Location: Limassol, Cyprus Workplace: hybrid At inDrive, a passenger and a driver agree on a price in seconds. What happens next, from the moment the driver accepts the order until the passenger steps out of the car, decides whether that passenger will open inDrive again. We are looking for a Senior Product Manager to own the passenger's ride experience : from driver assignment to a successfully completed trip. You will shape how passengers wait for and meet their driver, how they feel during the ride, and how the trip ends. This role goes beyond screens and flows. Your work will directly affect completed rides, cancellations, passenger trust and retention. Key Responsibilities Own the Ride Experience End-to-End: You will define and evolve the passenger journey after a driver is assigned: waiting for pickup, meeting the driver, the ride itself and the end of the trip. Turn More Matches into Completed Rides: Find and remove the reasons why passengers and drivers cancel after they have agreed on a ride, so that more matched orders end in a successful trip. Make Pickup Predictable: Improve ETA accuracy, driver tracking, pickup point clarity and passenger-driver communication, so that passengers and drivers find each other quickly and without stress. Build Trust and Safety into the Ride: Together with the safety team, develop in-ride features such as trip sharing, route monitoring and emergency tools that help passengers feel safe and in control. Close Every Trip Well: Own the end of the ride: trip summary, payment confirmation, ratings and feedback, and resolving post-trip issues such as disputes or lost items. Experiment and Optimize Continuously: Run A/B tests and iterate on key levers such as waiting rules, notifications, communication tools and cancellation policies. Collaborate Across Domains: Work closely with driver product, safety, maps and geo, payments, customer support and data teams to keep the experience consistent for both sides of the ride. Skills, Knowledge and Expertise 4+ Years in Consumer Marketplaces: Proven track record leading high-scale consumer products, preferably in ride-hailing, delivery, or platforms with offline operational components. Operational & System Understanding: Hands-on grasp of real-world logistics—including ETAs, geolocation, cancellations, and support workflows—alongside two-sided marketplace incentives (passengers vs. drivers). Data & Experimentation Rigor: Skilled in A/B testing, funnel and cohort analysis, and data-driven decision-making under uncertainty to rapidly test bold hypotheses. User-Centric & Safety Mindset: Deep empathy for passenger anxieties during a ride, with the ability to design trust-building UX while treating safety as an absolute product requirement. Cross-Functional Alignment: Proven success collaborating across diverse product teams (Driver Experience, Maps, Safety, Payments, Support) to navigate conflicting priorities and reach consensus. Clear & Strategic Communication: Ability to articulate complex product trade-offs, operational trade-offs, and strategic decisions to both technical teams and executive leadership. Communication: Business-fluent English proficiency (B2/C1+ or equivalent). Why join us Help us challenge injustice by creating fair choices for millions of people across 47 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Annual salary from 70 700 EUR gross. Final benefits may vary depending on the location.

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

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

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

Location: 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: onsite Clear priorities. A shared understanding of where we’re going. Leaders who can connect company decisions with what they mean for their teams. We’re looking for a Senior Communications professional to make this part of everyday work at inDrive. You’ll strengthen alignment across our global leadership community and between leaders and their teams, and build practical tools that make communication and change easier to navigate across the company. You’ll work directly with VPs, Directors and Heads across regions , in close partnership with the wider Communications division. This is a senior individual contributor role with ownership of the leadership and change communications agenda. Key Responsibilities Strengthen leadership alignment: help leaders build a shared understanding of company direction, priorities and changes, and translate it into clear communication with their teams Build effective communication tools: develop concise briefings, guidelines, templates and formats that help leaders and People & Culture communicate confidently and consistently Create practical frameworks for change: make it easier for teams to plan and communicate changes, with clear steps, responsibilities and tools that work across functions and regions Develop our global leadership community: design and run formats that connect leaders, support meaningful discussion and help them learn from one another Advise and prepare senior leaders: help them sharpen their messages, explain the context behind decisions and create space for questions and feedback Connect global priorities with local context: work with regional teams to keep communication relevant while maintaining a shared company direction Measure clarity and alignment: build a framework to understand what employees and leaders know, where gaps remain and which communication approaches work best Skills, Knowledge & Expertise 10+ years of experience in internal or corporate communications, or consulting, including leadership and change communications Experience advising senior leaders and helping them communicate clearly and effectively Strong writing and editorial judgment: you can distil complex information into concise, useful messages A track record of creating communication tools, processes or frameworks that people actually adopt Understanding of change management and how communications connect with organizational design and leadership development Confidence to challenge a brief, ask good questions and recommend a simpler or more effective approach Ability to work independently, navigate ambiguity and bring structure to new areas of work Fluent in English and Russian Why join us Help us challenge injustice by creating fair choices for millions of people across 47 countries Develop your professional skills with access to mentoring, career consulting, and learning programs Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects Work alongside people who take initiative, speak openly, and challenge themselves to grow Improve your language skills through co-financed courses and internal speaking clubs Annual salary from 48 300 EUR gross Final benefits may vary depending on the location.

Location: Washington, United States Workplace: remote We're looking for an experienced Senior SEC Reporting & Technical Accounting Manager to join our Global Financial Reporting team. You will own technical accounting positions on complex, non-routine transactions and help build our SEC-style external reporting, working closely with teams across our global operations. If you love getting technical, take ownership of problems end to end and want to shape reporting at a fast-growing global company, we look forward to your application! Key Responsibilities Serve as the subject matter expert on complex transactions, including M&A and business combinations (ASC 805), financing transactions, revenue recognition (ASC 606), impairment, financial instruments and foreign currency matters. Prepare and review SEC-style financial statements, footnotes and disclosures, and help build the processes behind them to public company standards. Research, document and conclude on technical accounting matters under US GAAP, drafting clear position memos and related journal entries. Develop and maintain accounting policies so they are applied consistently across our global entities and stay aligned with new standards and SEC guidance. Partner with global accounting teams, FP&A, Legal and HR to evaluate the accounting impact of deals, financings, commercial arrangements and new initiatives. Work closely with external auditors to align on accounting conclusions, support audit reviews and resolve technical issues. Own issues end to end: solve them independently and bring clear recommendations rather than escalating. Support internal control design and SOX readiness for technical accounting and reporting processes. Skills, Knowledge & Expertise Active CPA license. 8 to 12 years of experience, including Big 4 audit or advisory and technical accounting or SEC reporting for a public filer. Hands-on US GAAP expertise in M&A, financing transactions and revenue recognition, plus impairment, financial instruments and FX. Experience at technology or IT companies with revenue between $500M and $2.5B is a strong plus. NetSuite experience is a plus. Strong research and memo-writing skills: you drive to conclusions on technical matters and explain them clearly to auditors, management and non-accountants. Independent problem solver with a strong sense of ownership. Effective cross-functional partner, comfortable working with global teams across time zones. Based in the United States, in the Eastern or Central time zone. Job Benefits Help us challenge injustice by creating fair choices for millions of people across 1100+ cities in 48 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Please note: final benefits may vary by location. Country-specific benefits will be added to the offers later.

Location: Pretoria, South Africa Workplace: hybrid We are hiring a Senior Media Manager to lead regional media strategy and execution across Southern and Central Africa, aligning media investments with business objectives and growth targets. The role will own multi-market media budgets, optimize channel performance, and drive measurable business impact across brand and performance campaigns. You will lead agency partnerships, oversee cross-market media governance, and mentor media specialists to ensure strong execution and consistent regional standards. You will also drive media innovation, advanced measurement, and campaign optimization to maximize ROI and commercial outcomes. Key Responsibilities Strategic Leadership & Fiscal Ownership End-to-End Strategic Vision: Formulate and execute the overarching annual media strategy and vision for Southern and Central Africa, aligning media investments directly with regional P&L and long-term business goals. Annual Budgetary Management: Autonomously manage, allocate, and optimize the multi-market media budget, driving financial efficiency, forecasting accuracy, and commercial ROI across all channels. Senior Stakeholder Management: Serve as the primary media authority and trusted advisor to regional executive leadership, translating complex media dynamics into executive business insights. Cross-Regional Governance & Team Mentorship Sub-Saharan Governance: Lead and govern media strategy across Southern Africa while providing strategic direction, quality assurance, and functional oversight for Central Africa markets. Remote Functional Leadership: Provide strong professional mentorship, coaching, and day-to-day strategic guidance to the Central Africa Media Specialist (based remotely), building technical capability and ensuring unified regional standards. Channel Mix, Innovation & Ecosystem Growth Omnichannel Growth Strategy: Architect comprehensive upper-, mid-, and lower-funnel cross-channel strategies (online, offline, performance, and brand) tailored to distinct market maturity levels across Sub-Saharan Africa. Innovation & Advanced Formats: Drive regional innovation roadmaps by piloting emerging media channels, advanced measurement tools, and integrated influencer frameworks. Agency Governance & Commercial Procurement Agency & Partner Management: Lead high-level agency relationships, performance evaluations, fee negotiations, and commercial terms across regional agency partners, platforms, and major media owners. Measurement, Analytics & Business Impact Business-Centric Analytics: Establish advanced measurement frameworks to evaluate media performance against hard business outcomes (sales growth, market share, CAC), turning complex analytics into decisive strategic actions. Full Campaign Lifecycle Autonomy: End-to-end ownership of major regional tentpole campaigns, from initial brief framing and media strategy through execution, continuous optimization, and executive post-campaign debriefs. Skills, Knowledge & Expertise Regional media strategy and multi-market budget management Strong expertise in brand, performance, and omnichannel marketing Media planning, campaign optimization, and ROI measurement Agency management, commercial negotiations, and partner relations Data-driven decision-making, analytics, and business performance measurement Cross-functional leadership, stakeholder management, and team mentorship Media innovation, emerging channels, and influencer marketing Strong understanding of Southern and Central African media landscapes 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: Almaty, Kazakhstan Workplace: onsite As the Sr. Talent Sourcer, you will drive candidate discovery, market intelligence, and pipeline strategy across key business functions. Key Responsibilities Act as the full owner of sourcing and candidate engagement strategies for active vacancies, driving pipeline quality and efficiency from start to finish while ensuring a positive experience for candidates and stakeholders. Own talent insights activities: manage stakeholder expectations anticipate potential hiring risks and build strong partnerships with recruiters, hiring managers, and cross-functional teams. Proactively analyze external labor market data - talent availability, competitor hiring activity, and compensation trends - to keep the company's talent acquisition strategy aligned with market dynamics. Play a key role in building strategic talent mapping in close collaboration with business leaders, recruitment teams, and PnC partners, including identifying hard-to-fill roles, emerging critical skills, key talent sources, and common career paths to priority positions. Actively develop and maintain professional talent networks and continuously improve the internal candidate database to support faster and more effective sourcing. Skills, Knowledge & Expertise 3+ years of talent sourcing, recruitment, or talent intelligence experience, preferably within high-growth, technology, or complex corporate environments. Proven track record of pipeline generation for niche, hard-to-fill, and executive-level positions. Demonstrated history of delivering data-driven market insights directly to senior leadership. Deep expertise in advanced sourcing techniques. Hands-on proficiency with modern ATS, CRM tools, and talent intelligence platforms. Ability to look beyond immediate vacancies to build sustainable, long-term talent pipelines. Strong interpersonal skills with the ability to influence hiring managers, manage expectations, and challenge assumptions using data. Passion for market research, data analysis, and translating conversion rates into actionable business recommendations. 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: 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: New Delhi, India Workplace: hybrid The Global Tax Team is looking for an experienced Senior Tax Specialist to anchor our direct income tax compliance and US GAAP tax reporting from India. Working closely with our US-based Senior Tax Compliance & Reporting Manager, you will own the data, calculations and documentation behind the group's quarterly and annual income tax provision under ASC 740, and support the corporate income tax compliance cycle for our legal entities worldwide. This is a hands-on, detail-driven role at the centre of the group's tax reporting cycle. You will work across a large multinational footprint, coordinate with external preparers and local finance teams in multiple regions, and help build a reporting process that is accurate, auditable and increasingly automated. Key Responsibilities US GAAP tax provision (ASC 740): Prepare the quarterly and annual income tax provision for group legal entities — current and deferred tax, deferred tax proofs, effective tax rate reconciliation, valuation allowance assessments and return-to-provision true-ups. Uncertain tax positions: Support the identification, measurement and documentation of uncertain tax positions (ASC 740-10 / FIN 48), including the roll-forward and supporting memoranda. Direct tax compliance: Coordinate the end-to-end corporate income tax compliance cycle across our entities — data gathering, validation against the general ledger, instructing and managing external preparers, technical review of draft returns and book-to-tax reconciliations, and approval of advance/estimated tax payments. India compliance support: Support Indian direct tax obligations for the local entity, including corporate income tax returns, TDS/withholding compliance, tax audit requirements and related filings. Account reconciliation: Reconcile current and deferred income tax accounts, maintain tax payable and tax receivable schedules, and track withholding tax credits and foreign tax credits across jurisdictions. Reporting & disclosure support: Prepare inputs for income tax disclosures and supporting schedules, and support data collection for Pillar Two / GloBE and country-by-country reporting. Audit & controls: Support statutory auditors and local tax authority reviews by preparing documentation, reconciling positions and drafting responses. Maintain evidence of tax process controls in line with SOX readiness requirements. Legislative monitoring: Track direct tax law changes in key jurisdictions and assess their impact on the provision, the effective tax rate and compliance obligations. Calendar management: Maintain the global direct tax compliance calendar and provision timetable, and drive adherence to close deadlines. Process improvement: Identify and implement improvements to tax data collection, provision workpapers and reporting — reducing manual re-keying, strengthening data integrity and shortening the close cycle. Skills, Knowledge & Expertise Education: Bachelor's degree in Accounting, Finance, Commerce, Economics or a related field. Certification: Chartered Accountant (CA) qualified, or CPA / Master's in Taxation or equivalent. Strongly preferred. Experience: 6+ years of direct tax experience in an international company or a Big 4 / large consulting firm, with a substantial portion dedicated to income tax accounting and corporate income tax compliance. US GAAP provision: Demonstrable hands-on experience preparing income tax provisions under ASC 740 — current and deferred tax, effective tax rate reconciliation, valuation allowances, return-to-provision and uncertain tax positions. Experience supporting a multi-entity, multi-jurisdiction provision is a strong advantage. Direct tax compliance: Proven track record managing corporate income tax compliance cycles, including reviewing returns and workpapers prepared by external firms and reconciling them to the financial statements. Indian tax: Working knowledge of Indian direct tax — corporate income tax, TDS, tax audit and related filing requirements. International tax awareness: Familiarity with the modern international tax landscape — BEPS, Pillar Two / global minimum tax, withholding taxes, double tax treaties and transfer pricing documentation requirements. Technology stack: Hands-on experience with ERP systems (NetSuite, Workday or comparable) and strong Excel/Google Sheets skills. Experience with tax provision software (e.g. ONESOURCE Tax Provision, Longview) or data tools (Alteryx, Power BI) is highly desirable. Controls: Exposure to SOX or comparable internal control environments, and comfort documenting and evidencing tax process controls. Soft skills: Strong analytical and project management skills, high attention to detail, and the ability to work to a fixed close calendar across time zones. Work style: A self-starter who thrives in a fast-paced, high-growth environment while managing multiple priorities and deadlines. Language: Advanced command of English, written and spoken. 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: 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.