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Location: Mexico City, Mexico Workplace: onsite We are looking for a Operations Specialist – Mexico is responsible for supporting the efficient day-to-day operations of the Mexico office and contributing to regional Operations activities across LATAM. The role ensures smooth office functioning by coordinating facilities management, vendor relationships, procurement, invoice processing, documentation, asset management, logistics, and employee support. The Specialist also assists with internal events, business visits, and operational projects, while maintaining accurate records, following internal procedures, and ensuring timely resolution of office, facility, and office-related issues. Working closely with the Operations Business Partner (BP), OPS Manger the broader Operations team, local employees, regional stakeholders, and external suppliers, the Operations Specialist helps maintain a safe, organized, and productive workplace. The role requires a proactive, service-oriented, and process-driven approach, with a strong focus on accuracy, accountability, cross-functional collaboration, and continuous improvement. Knowledge of occupational Health and Safety (H&S) requirements and support in implementing relevant office safety procedures are also expected. Key Responsibilities Ensure the smooth daily functioning of the Mexico office, including workspace readiness, office supplies, snacks, meeting rooms, access management, and general facility needs. Coordinate maintenance, cleaning, repairs, and other facility-related services, ensuring timely resolution of operational issues. Manage office access keys and coordinate access arrangements for employees, visitors, and HQ guests. Monitor office conditions and support the implementation of Health and Safety requirements, internal policies, and workplace standards. Coordinate with local suppliers and service providers to ensure timely delivery of goods and services. Support supplier sourcing, quotation collection, price comparisons, onboarding, and partnership discussions. Manage the administrative flow of invoices, purchase requests, accounting approvals, and payment follow-ups in accordance with internal procedures. Maintain an up-to-date vendor database and monitor service quality, contractual obligations, and payment statuses. Support virtual office and coworking arrangements, including subscriptions, utilities, and related payments. Create, organize, update, and archive physical and digital documentation in accordance with internal standards. Maintain accurate office databases, asset inventories, budget trackers, supplier records, and operational task lists. Support correspondence management, including receiving, scanning, distributing, sending, and archiving documents. Prepare reports, spreadsheets, forms, presentations, dashboards, and visual summaries to support operational planning, budget monitoring, and management updates. Support monitoring of the Mexico Operations budget, tracking expenses, invoices, payment statuses, and budget utilization. Assist with invoice submissions, accounting approvals, accrual confirmations, and financial documentation. Maintain accurate and up-to-date expense trackers and supporting records, identifying discrepancies or potential delays and escalating them when necessary. Follow established procurement, payment, and budget control procedures to support cost efficiency and financial transparency. Welcome new employees, visitors, and HQ guests, providing the necessary information, access, and office support. Coordinate the distribution of office materials, recruitment-related supplies, and other resources required by employees and internal teams. Manage snack inventory and replenishment, ensuring availability and appropriate distribution. Respond to employee requests related to office facilities, equipment, access, and general operational needs. Contribute to creating a welcoming, safe, and productive work environment that supports employee satisfaction and efficiency. Assist in planning and executing internal events, Operations Summits, management visits, team activities, and other office-related initiatives. Coordinate procurement, supplier arrangements, materials, workspace preparation, and logistical requirements for events. Support travel and logistics for key operational projects when required. Contribute to office improvement projects, workplace initiatives, and regional Operations activities, ensuring timely execution of assigned tasks. Collaborate with Operations colleagues and stakeholders across Mexico, Brazil, Peru, Colombia, the USA, and other relevant locations. Provide backup support during team members’ absences, helping ensure continuity of invoice processing, documentation, asset management, and other time-sensitive tasks. Share regular updates on task progress, outstanding requests, potential risks, and operational blockers with the Operations BP and relevant stakeholders. Skills, Knowledge & Expertise Fluency in both English and Spanish, with the ability to communicate effectively with local and international stakeholders. Strong organizational, time-management, and multitasking skills, with the ability to prioritize competing requests and meet deadlines. High attention to detail and accuracy in managing financial records, documentation, equipment databases, and operational reports. Strong ownership and accountability, with the ability to work independently, follow through on tasks, and escalate issues proactively. Advanced proficiency in Microsoft Office, particularly Excel and PowerPoint, and strong working knowledge of Google Workspace. Experience preparing spreadsheets, trackers, reports, dashboards, and professional presentations; knowledge of Canva is an advantage. Good communication and stakeholder management skills, including experience coordinating with suppliers and internal teams. A process-oriented mindset, with the ability to follow SOPs, identify inefficiencies, and recommend practical improvements. A proactive, service-oriented, and solution-focused attitude, with flexibility to adapt to changing operational priorities. Ability to handle equipment , company assets and office materials when required. Basic knowledge of workplace Health and Safety practices and willingness to support the implementation of relevant procedures. 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: Sao Paulo, Brazil (Sao Paulo) Workplace: hybrid Embark on an exciting journey with us as an Accountant to manage our financial records, make payments in online banking, ensure compliance with regulations, and provide accurate financial information to support decision-making. Key Responsibilities Oversee and maintain accounting records for several local entities in accordance with group policies and local GAAP requirements. Collaborate with local accounting and tax outsourcing providers to ensure accurate and timely tax filings and compliance with statutory requirements. Take full ownership of the Cash and Bank reconciliation process, ensuring all transactions are accurately reflected and matched in NetSuite on a daily/monthly basis. Manage end-to-end employee-related accounts, including the reconciliation of accounts receivable from employees, advances, and expense reimbursements. Act as the primary user and owner of the Yokoy expense management system, overseeing the processing, classification, and integration of employee expenses into the general ledger. Reconcile Balance Sheet and P&L accounts in NetSuite on a regular basis, ensuring accuracy and consistency of financial data. Record and review accounting transactions, including expense reports, journal entries, deposits, payroll files, revenue recognition, and foreign currency revaluation etc. Act as a Financial Controller for smaller international entities with low transaction volumes, performing all necessary control procedures, reconciliations, and month-end closing in strict accordance with US GAAP and audit requirements. Actively participate in audit processes, including preparation of supporting documentation, communication with auditors, and resolving audit queries. Support continuous improvement of accounting processes, internal controls, and reporting quality across the assigned entities. Skills, Knowledge & Expertise University degree in Accounting, Finance, or a related field. 3–5 years of professional experience in accounting or financial control, ideally within an international company. Solid understanding of local accounting and tax regulations (Brazil/Mexico) and strong knowledge of US GAAP (IFRS is a plus). Proven experience in general ledger accounting, reconciliations, and financial reporting. Hands-on experience with expense management tools (experience with Yokoy is a strong advantage). Practical understanding of tax compliance and cooperation with external tax advisors. Advanced English (B2 or higher) — confident in written and verbal communication. Experience with NetSuite is a strong advantage. Familiarity with AP systems and intercompany processes. Strong sense of ownership and ability to manage the full cycle of accounting for small entities independently. Excellent analytical and problem-solving skills, attention to detail, and ability to manage multiple priorities in a fast-paced environment. 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: 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: 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: Lima, Peru Workplace: hybrid To be added Key Responsibilities Interacting with customers through phone calls and emails, providing explanations Resolving complaints and ensuring a high level of service. High quality and prompt resolution of incidents such as conflict situations, cases of sexual harassment and criminal incidents. Processing incoming requests from users in the admin. Panel data collection for incident analysis Provide suggestions for improving the quality of incident resolution and their reduction. Skills, Knowledge and Expertise High stress resistance. Ability to take Initiative. Ability to work with a large amount complex information. Ability to remain calm and make decisions under pressure, especially during high stress incidents. Teamwork & collaboration with colleagues. Experience in handling accidental cases would be a plus. Why join us Help us challenge injustice by creating fair choices for millions of people across 47 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Final benefits may vary depending on the location.

Location: Almaty, Kazakhstan Workplace: hybrid We are looking for a Research Specialist to help shape marketing and product decisions across 47 countries through customer research and data-driven insights. You will partner with teams across the business to explore customer needs and business questions, independently manage research projects from defining the approach to presenting findings, and combine quantitative and qualitative data to uncover meaningful patterns and opportunities. The role involves working with both research agencies and in-house tools, as well as contributing to ongoing research initiatives across different business areas. Key Responsibilities Informational and research support of marketing and product initiatives and decisions. Helping to solve business tasks connected with understanding clients. Participating in activities concerning supporting current tracking studies (BHT, CHURN) for several verticals (delivery, finance). Conducting ad-hoc full cycle research projects (from setting tasks together with the internal client and choosing methodology to results presentation and feedback implementation. Carrying out researches with the aid of both DIY tools and research agencies including: Filling in on updating briefs, defining the methodology and research design, briefing the agency, controlling tools quality, project flow and reporting. Providing analytical, data based insights and recommendations for the defined business task, presenting the results to the team or organizing of the presentation When using DIY, creating the tools, analytics and reporting (analytical note or full report) Keeping the research repository updated with the latest projects timely Analyzing available data (both qual and quant), identifying connections, looking for insights, trends, answering questions and tasks based on previous research data and external data available. Skills, Knowledge & Expertise Higher education in Sociology, Statistics, Marketing, Economics, or a related field. 2+ years of relevant experience in a research agency and/or on the client side. Hands-on experience in quantitative research projects, with a good understanding of both quantitative and qualitative research methods. Strong proficiency in Excel / Google Sheets and PowerPoint / Google Slides. Strong analytical, communication, and presentation skills, with the ability to turn research findings into clear and actionable insights. Advanced English (C1), both written and spoken. Nice to have Experience with SPSS, R, and/or Python. Familiarity with AI tools for research, data analysis, and process automation. Spanish language 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 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 seeking a highly motivated and detail-oriented Global Tax Specialist to support the execution of our tax agenda across the EMEA and APAC regions. Based in Cyprus and working closely with our International Tax Leads for EMEA/APAC, you will play a hands-on role in delivering regional projects, keeping a fast-growing multinational footprint compliant, mitigating tax risk, and enabling new market and product launches. This is a broad, high-exposure role: you will work across corporate income tax, VAT/GST, withholding taxes, permanent establishment risk and transfer pricing, in both mature EU markets and complex emerging-market jurisdictions. Key Responsibilities Project support: Support the International Tax Leads on EMEA/APAC projects — new market entries, product and payment flow launches, intercompany restructurings and entity rationalisation. Assess the corporate tax, VAT/GST, withholding tax and permanent establishment implications and translate them into practical recommendations for the business. Compliance & reporting: Coordinate with external advisors, local finance teams and Accounting to ensure timely, accurate filings and reconciled tax accounts. Advisory & research: Research local tax legislation, double tax treaties, permanent establishment thresholds and non-resident/digital service provider registration regimes. Monitor legislative change across the region — DAC7, Pillar Two, local e-invoicing mandates, digital platform reporting — and flag business impacts early. Transfer pricing: Assist with local file and documentation gathering, review of intercompany agreements, intercompany invoicing and recharges, and monitoring of local transfer pricing compliance and filing obligations. Audit & controversy support: Support local tax audits, information requests and authority queries by preparing documentation, reconciling tax positions and drafting responses alongside external advisors. Tax accounting: Support current and deferred tax computations, uncertain tax position assessments and provision inputs for the group reporting cycle. Process improvement: Identify opportunities to standardise and automate tax data collection, compliance tracking and reporting through ERP reporting, tax compliance management platforms and e-invoicing readiness. Skills, Knowledge & Expertise Education: Bachelor's degree in Accounting, Finance, Economics, Law or a closely related field. A professional qualification (ACA, ACCA, ADIT, CPA or local equivalent) is a plus. Experience: 5+ years of dedicated tax experience in a multinational or Big 4 environment, with a strong EMEA and/or APAC focus. Hands-on experience with Cyprus tax (corporate income tax, IP Box, Cyprus VAT) and with emerging-market jurisdictions across Africa, the Middle East, Central Asia or South/Southeast Asia is a significant advantage. Technical knowledge: Solid grounding in international tax concepts — withholding taxes, permanent establishment, double tax treaties, transfer pricing — together with practical indirect tax experience across EU and non-EU regimes, including non-resident digital services VAT/GST registrations. Familiarity with Pillar Two and platform reporting obligations (DAC7 and equivalents) is welcome. Language skills: Professional fluency in English is essential. Russian and/or Greek is a strong plus; an additional EMEA or APAC language is welcome. Systems: Prior experience with NetSuite, Workday or comparable ERP systems is a plus, and strong Excel/Google Sheets skills. Exposure to tax compliance management platforms (e.g. Loctax) is a plus. Skills: Highly organised, proactive and comfortable owning multiple workstreams and deadlines in a fast-paced, remote-first, multi-jurisdiction environment. Clear written English and the ability to explain tax outcomes to non-tax stakeholders 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 48 300 EUR Gross. Final benefits may vary depending on the location.

Location: Panama Workplace: hybrid As a Cluster Representative, you will take full ownership of end-to-end regional strategy execution—from launching new cities and tariffs to optimizing driver ecosystems and navigating local regulatory landscapes. In this role, you will bridge global/regional strategy with local execution, serving as the voice of your markets to shape commercial performance and key stakeholder relationships. Key Responsibilities Regional Strategy & Growth Execution: Lead the end-to-end execution of regional strategies. Drive critical growth projects—including new city rollouts and tariff launches—coordinating cross-functional teams to deliver on time and within budget. Performance & Business Analytics: Continuously track and analyze local top-line performance metrics (Rides, GMV, Revenue). Identify trends, flag issues early, and propose swift corrective action plans. Marketplace & Supply Optimization: Collaborate directly with Marketing and Marketplace Efficiency teams to adapt driver acquisition and retention initiatives to local realities. Propose strategic pricing, surge, and incentive opportunities. Public Affairs & Regulatory Risk Management: Support Public Affairs & Government Relations on regulatory topics affecting your markets. Proactively identify legislative risks and accompany leadership in government and industry meetings to provide on-the-ground business context. Local Partnerships & Business Development: Identify, evaluate, and develop new local partnership opportunities, negotiating commercial terms within established frameworks. Competitive Intelligence: Gather on-the-ground market insights and translate competitive intelligence into clear, actionable strategic recommendations. Skills, Knowledge & Expertise Proven Experience: 3–5+ years of experience in management consulting, tech operations, mobility/ride-hailing, or general management, leading multi-project portfolios. Analytical Mindset: Strong capability to analyze performance data (GMV, conversion rates, supply dynamics) and turn insights into high-impact operational decisions. Cross-Functional Leadership: A track record of driving cross-team alignment across Marketing, Policy, and Marketplace Operations. Stakeholder & Regulatory Savvy: Comfortable representing the company in external policy meetings, partner negotiations, and executive discussions. Execution & Agility: Strong project management skills with the ability to navigate ambiguity and deliver results in a fast-paced environment. Why join us Help us challenge injustice by creating fair choices for millions of people across 47 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Final benefits may vary depending on the location.

Location: Abu Dhabi, United Arab Emirates Workplace: hybrid Autonomous vehicles are coming to the markets in which inDrive serves, but the AV industry has a blind spot: it has almost no data from the cities where we operate. inDrive runs one of the world's largest ride-hailing fleets, concentrated in exactly the emerging markets global AV players have yet to reach. We are building the team that turns that fleet into an AV grade data platform: large scale multi sensor collection from real vehicles on real trips, evaluation of driving models against human drivers, automated and human in the loop causal annotation, and camera first 3D scene reconstruction for simulation. We are hiring the founding leader of this workstream. This is a rare true zero to one: you will hire the team, stand up the vehicles and the data platform, set the technical bar, and own delivery end to end. Key Responsibilities Own the AV data workstream end to end. Roadmap, execution, quality, and outcomes, from vehicle data capture through processing, annotation, and delivery of AV-grade datasets Build the team from zero. Hire and lead a multi disciplinary team covering large scale data engineering, search and serving, ML engineering across divergence detection, edge inference, and VLM based auto labeling, 3D reconstruction research, and data annotation operations. Own the hiring bar and the team's growth Management : Manage ML engineers' charter across the cluster Set technical direction across disciplines. Provide design authority for the full pipeline, including onboard capture, cloud ingestion and processing at fleet scale, semantic and causal labeling, and neural scene reconstruction, and make the key technical decisions on evidence Partner with leaders across the organization. Work closely with the leaders of data platform, ML ops, geo and mapping, and inDrive's wider autonomous vehicle initiatives to align roadmaps, share infrastructure, and unblock delivery Own external partnerships. Drive the technical relationships this work depends on, including the NVIDIA AV ecosystem and prospective AV partners consuming our data Balance research and delivery. Several of the core questions here are open research. You frame milestones as decision gates, redirect work based on evidence, and keep the team shipping measurable results on a schedule Skills, Knowledge and Expertise 10+ years of engineering experience in applied ML, autonomous systems, or large-scale data and ML platforms, including 3+ years in the autonomous vehicle industry or closely adjacent autonomy domains (AV data, simulation, or evaluation platforms, ADAS, robotics perception, HD mapping), and 4+ years managing engineering teams, with a track record of building teams from scratch and delivering from zero to one Strong command of the modern AV and foundation model landscape: vision-language models, multi-modal perception, 3D reconstruction and neural rendering, and the NVIDIA AV ecosystem. Deep enough to set direction, review designs, and make evidence-based technical calls Genuine engineering leadership range: you have successfully led data engineering, platform, or infrastructure delivery, not only ML research, and can evaluate and unblock work across those disciplines Proven ability to take large-scale ML systems from conception to production: data pipelines, training and evaluation infrastructure, and models running under real-world constraints Strong external presence: experience owning technical partnerships, vendor and licensing relationships, or customer-facing technical engagements at a senior level Deep fluency in the modern ML stack (PyTorch or equivalent, large-scale training and inference, Python and Linux) and in cloud data platforms at multi-terabyte scale Bachelor's degree in Computer Science, Engineering, or a related field Nice to have: AV industry experience specifically in offline evaluation, data mining, annotation platforms, or simulation, as distinct from on-vehicle stack development Advanced degree (MS or PhD) in ML, robotics, or computer vision Experience operating in emerging markets, and comfort building where the playbook does not exist yet Why join us Help us challenge injustice by creating fair choices for millions of people across 47 countries Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects Work alongside people who take initiative, speak openly, and challenge themselves to grow Improve your language skills through co-financed courses and internal speaking clubs Final benefits may vary depending on the location.

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

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

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

Location: Mexico City, Mexico Workplace: onsite The Quality Assurance Group Lead combines advanced quality assurance expertise with people management, mentoring, and quality control — ensuring the consistency, accuracy, and effectiveness of quality evaluations within an assigned region, workflow, or operational scope. This role sits between QA Specialist and QA Manager, leading a team of 5–7 QA Specialists within inDrive's CS Operational Excellence department, and reports directly to the QA Manager. Key Responsibilities Lead a team of 5–7 QA Specialists within the assigned scope Distribute and prioritize workload across the team Coach, mentor, and develop QA Specialist competencies Monitor individual and team performance against quality KPIs Conduct regular 1:1s, team meetings, and performance reviews Conduct quality audits and second-level reviews of QA Specialist evaluations Ensure consistent application of quality governance frameworks and evaluation standards Act as the escalation point for complex quality-related questions and methodology disputes Lead calibration sessions to align monitoring results across the team Resolve disagreements related to monitoring results or evaluation methodology Identify trends, recurring mistakes, and systemic quality issues within the assigned scope Prepare quality insights, summaries, and action plans for stakeholders Support the implementation of new QA methodologies, monitoring scenarios, and process updates Participate in QA automation and process-improvement initiatives Provide data-driven recommendations to QA management based on monitoring results Skills, Knowledge & Expertise 3+ years of experience in Customer Support, Quality Assurance, or Operational Excellence Proven experience in quality monitoring, evaluations, and calibration processes Experience coaching, mentoring, or formally coordinating the work of others Experience working in multi-team or multi-vendor (BPO) environments — preferred Strong knowledge of quality frameworks, monitoring methodologies, and calibration standards Excellent analytical skills with the ability to identify trends and systemic patterns Strong written and verbal communication skills; ability to present findings clearly Demonstrated ability to collaborate across functions and levels of the organization Proficiency with QA platforms, dashboards, reporting tools, and performance analytics systems Ability to manage competing priorities and work effectively in a fast-paced environment Bilingual proficiency in Spanish and English (spoken and written) Why join us Help us challenge injustice by creating fair choices for millions of people across 47 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Final benefits may vary depending on the location.

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

Location: Lima, Peru Workplace: hybrid We are looking for a data-driven Senior Product Marketing Manager to own the strategy, execution, and continuous optimization of our customer lifecycle and product engagement initiatives. Key Responsibilities Campaign Preparation and Execution: Independently create, schedule, and execute marketing campaigns (email, push notifications, WhatsApp, in-app messages, banners) across multiple customer segments. Optimize campaigns for delivery across time zones, devices, and customer preferences. Ensure compliance with legal standards such as GDPR and other regional requirements. Audience Segmentation: Design and implement custom segmentation strategies based on multidimensional criteria such as behavior, demographics, orders and ride history, and engagement levels. Maintain dynamic customer segments that update automatically as data changes. Trigger Campaign Configuration: Build and manage multi-step automated workflows, such as re-engagement, loyalty program adoption, or upselling campaigns, with minimal supervision. Test and troubleshoot triggers to ensure proper execution and alignment with the customer lifecycle. Testing and Optimization: Plan, execute, and document A/B and multivariate tests for key campaign elements, including design, timing, and messaging. Use insights from testing to implement data-driven improvements across campaigns. Perform regular performance reviews to refine optimization strategies. Reporting and Analysis: Generate detailed reports on campaign performance, interpreting metrics like open rates, CTRs, conversions, and ROI. Present data insights to stakeholders and provide actionable recommendations to improve rider and driver engagement. Collaboration and Mentoring: Collaborate with cross-functional teams (content, design, analytics) to deliver campaigns. Provide guidance and support to junior CRM specialists, including peer reviews and knowledge sharing. Skills, Knowledge & Expertise CRM Platform Proficiency: Independently execute at least five end-to-end campaigns quarterly using advanced CRM platform features (e.g., Bloomreach, Salesforce Marketing Cloud, HubSpot). Build at least three advanced automations quarterly, such as multi-step workflows with branching logic (e.g., loyalty or churn prevention campaigns). Complete at least two courses with intermediate certification for Bloomreach or demonstrate equivalent expertise. Data Analysis and Reporting: Create detailed reports with data visualizations for at least five campaigns quarterly, incorporating metrics like open rates, conversion rates, and ARPPU. Work with datasets using tools like Excel or Google Sheets with advanced functions (e.g., INDEX/MATCH, QUERY). Present campaign insights to stakeholders in three formal presentations with actionable recommendations. Digital Marketing Expertise: Apply intermediate-level knowledge of digital marketing strategies, including personalization, retargeting, and customer journey mapping. Assist in the strategic planning of at least two multi-channel campaigns integrating email, WhatsApp, in-app, banners, and push notifications. Advanced Data Handling: Segment audiences dynamically based on real-time data, using at least three different criteria simultaneously. Ensure data compliance by implementing processes that align with GDPR/CCPA requirements for all campaigns. English Proficiency: Write comprehensive campaign briefs and reports in English, ensuring accuracy and clarity. Lead or co-lead three cross-functional meetings in English, presenting updates or insights confidently. Advanced Testing and Optimization: Conduct and analyze A/B tests for at least five campaigns quarterly, including testing subject lines, offers, layouts, and timing. Implement changes based on test results, achieving measurable improvements in key KPIs (e.g., a 5 statistically significant lift in conversion). Communication Deliverability: Monitor and resolve deliverability issues for campaigns. Use tools like Postmaster Tools or delivery reports to troubleshoot spam issues and optimize sender reputation. Why join us Help us challenge injustice by creating fair choices for millions of people across 47 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Final benefits may vary depending on the location.

Location: Tbilisi, Georgia Workplace: hybrid Geo Search runs the search that tens of millions of customers use to say where they are going, across many countries where the commercial maps everyone else leans on are often wrong, incomplete, or simply missing. We are building our own search and recommendation stack, which means we own the data, the ranking, and the measurement. The team is cross-functional, spanning backend, machine learning, mobile, and QA, and works with a product manager focused on relevance and with geo analysts. It owns place search and autocomplete, geocoding, ranking and personalization, location detection and pickup selection, and its own search screens on Android and iOS. It is measured on order conversion, search conversion, and mean reciprocal rank We are looking for a Senior Data Scientist to own ranking, relevance and recommendation for geo search: the models that decide which places a customer sees, in what order, and how that changes with context. This is a modeling role with production responsibility, and it is close to a founding one. You will define how relevance is measured here, build the training data from scratch, and own the models that follow. The interesting constraint is that suggestions must return within tens of milliseconds of each keystroke, in cities where map data is thin and people type in mixed scripts, so model choice is an evidence-based trade-off you will own rather than a preference: gradient-boosted ranking on behavioral data today, transformers and large language models where they earn their place in query understanding and cross-script matching, and neural reranking if the failure analysis justifies it. Ground truth comes from what drivers, couriers and customers actually do, and from completed rides, so a large part of the craft is turning messy behavioral logs into labels you can trust. You will measure your impact through offline evaluation and online A/B tests, and changes reach millions of customers in weeks. Key Responsibilities Own ranking, relevance and recommendation for geo search end to end, from training data through to models serving in production Build the label pipeline that turns search sessions and completed rides into trustworthy training data, including correction for position bias and other presentation effects Train and own the models that order results, and the confidence model that decides per query whether we serve our own answer or fall back to an external provider Build query understanding for our markets, including cross-script matching, using large language models to label offline and distilling into models fast enough for the keystroke path Own evaluation end to end: the offline replay harness that scores recorded sessions against real rides, the error analysis that turns failures into work for the right team, and the online experiments that prove impact Keep models healthy after launch as data and cities shift Skills, Knowledge and Expertise Minimum qualifications 5 or more years building models that shipped and improved a production metric Direct experience with ranking, search relevance, or recommendation systems, including how they are evaluated Expert Python and SQL, fluency with gradient boosting, and working knowledge of transformers Experience taking a model to production and owning it afterwards The ability to work across teams, since search quality work generates data and engineering tasks that others own Preferred qualifications Depth in geocoding, autocomplete, or place search Learning to rank in practice: pairwise and listwise objectives, MRR, NDCG, Hit@k, and their failure modes Relevance tuning on OpenSearch or Elasticsearch, including analyzers Multilingual or cross-script search, for example Arabic and Arabizi or Urdu and Roman Urdu Distilling language models under a latency budget, and experience in mapping or geospatial products in developing markets Why join us Help us challenge injustice by creating fair choices for millions of people across 47 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Final benefits may vary depending on the location.