Вакансии

Location: Panama Workplace: onsite We are looking for a senior Regional Public Policy & Government Affairs Manager to lead inDrive's government relations across Central America and the Caribbean. The role covers 8 markets: Panama, Guatemala, Dominican Republic, Costa Rica, El Salvador, Honduras, Jamaica and Nicaragua. The role is based in Panama City or Guatemala City. You will represent and advance inDrive's interests with national and local authorities, shape the regulatory environment for technology platforms in the region, and work closely with our regional leadership and external public affairs partners. Key Responsibilities Build and maintain strategic relationships with government officials, policymakers, regulators and industry leaders across the 8 markets, with a strong focus on Panama. Design and lead the regional government relations and public affairs strategy, including objectives, OKRs, roadmaps and action plans for each market. Proactively shape regulation for ride-hailing and other tech platforms, anticipating regulatory changes and positioning inDrive early rather than only reacting to authorities. Oversee platform licensing and regulatory compliance across Ride-hailing, Couriers, Intercity, Cargo and other inDrive verticals. Identify and assess regulatory and political risks and opportunities, and build strategies to address them. Manage regulatory and political crises with clear action plans to limit business impact. Build coalitions with businesses, trade associations, NGOs and civil society organizations. Coordinate and manage external public affairs consultants and agencies in the region. Strengthen inDrive's brand and visibility with policymakers, think tanks and academic institutions. Own the regional GR budget. Advise Growth, Legal, Communications, Finance and Product teams on policy, legislative and reputational matters. Skills, Knowledge & Expertise 8+ years of experience in government relations, public affairs or public policy, ideally with regional (multi-country) scope in Central America and/or the Caribbean. Strong, active network with government and regulatory stakeholders in Panama, plus a solid understanding of how policy and regulation work in the other markets of the region. Private-sector public affairs experience: a proven track record designing and executing public affairs and advocacy strategies, not only ensuring compliance with authorities. Experience in technology, digital platforms or consumer industries (e.g. FMCG) is highly desirable. Experience in a tier-one multinational, in-house or as a consultant. Excellent English and Spanish, written and spoken. Degree in Law, Economics, Political Science, International Affairs or a related field. Strong analytical skills, with the ability to translate complex regulation into clear language for different audiences. Comfortable in challenging or controversial debates, with strong ownership and cross-functional collaboration. 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: Limassol, Cyprus Workplace: hybrid We are looking for a Strategy & Operations Manager to act as an independent execution and problem-solving partner to the business leadership team. This is not a traditional PMO role. The mandate is broader: create transparency, challenge performance, solve cross-functional problems, and make sure our most important initiatives actually get delivered. You will work horizontally across Product, Operations, Commercial, Finance, Legal, and other functions, with visibility across the full portfolio of strategic initiatives. Your job is simple to describe but difficult to execute: know what matters, know what is happening, identify what is not working, and drive it to resolution. Key Responsibilities 1. Own strategic execution Maintain an end-to-end view of the business's most critical initiatives and their performance. Translate strategic priorities into clear projects, milestones, owners, KPIs, and deadlines. Drive high-priority projects directly when dedicated ownership is missing or additional execution power is required. Ensure commitments turn into measurable outcomes-not just meetings, updates, and presentations. Step into stalled or ambiguous initiatives and drive them back to execution. 2. Act as an independent performance partner Build a fact-based view of whether projects, teams, and initiatives are delivering against expectations. Challenge assumptions, timelines, priorities, and reported progress when necessary. Identify gaps between reported status and actual business impact. Diagnose underperformance and distinguish between strategy, execution, ownership, resource, and capability problems. Escalate material risks early and ensure corrective actions are defined and executed. 3. Solve cross-functional problems Step into the "messy middle" between functions where ownership is unclear and execution gets stuck. Structure ambiguous problems quickly and turn them into actionable decisions. Align Product, Operations, Finance, Legal, Commercial, and other stakeholders around a single execution path. Identify blockers, resolve dependencies, and drive decisions with pace. Act as a neutral partner focused on the overall business outcome rather than the interests of an individual function. 4. Build execution discipline Establish a lightweight but rigorous operating rhythm for strategic initiatives. Create a single source of truth for priorities, status, decisions, risks, and dependencies. Ensure every critical initiative has clear ownership, measurable outcomes, and transparent progress. Run project and portfolio reviews focused on decisions and actions rather than status reporting. Continuously improve how the organisation manages projects and executes strategic priorities. 5. Support strategic decision-making Turn complex operational and performance data into clear management insights. Build business cases and conduct quantitative and qualitative analysis for major strategic decisions. Evaluate new opportunities, growth bets, and operating-model improvements. Prepare concise, decision-oriented materials for senior leadership. Connect strategy with execution: understand not only what we should do, but whether and how the organisation can actually deliver it. What success looks like Success in this role is not measured by the number of projects tracked or meetings facilitated. It is measured by: Transparency - leadership always knows the real status of critical priorities. Accountability - every important outcome has an owner, deadline, and measurable result. Speed - blockers and unresolved decisions do not remain unresolved for weeks. Execution quality - strategic initiatives move from discussion to implementation. Business impact - the portfolio delivers measurable improvements in growth, efficiency, quality, or scalability. Qualifications You should be: Extremely structured and comfortable bringing order to ambiguity. Strong in project and program management, with the ability to lead multiple critical initiatives simultaneously. Highly analytical and able to independently challenge numbers, assumptions, and conclusions. Comfortable working directly with senior leaders and holding stakeholders accountable. Able to influence without formal authority. Pragmatic and execution-oriented-you naturally move from discussion to decision to action. Comfortable entering unfamiliar areas, learning quickly, and solving problems independently. Strong at communicating complex topics simply and concisely. Naturally curious and persistent: when something does not make sense, you keep digging until it does. The ideal candidate does not simply track the business. They help the business execute better. Why join us Help us challenge injustice by creating fair choices for millions of people across 47 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Annual salary from 75 600 EUR gross Final benefits may vary depending on the location.

Location: 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: 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: Almaty, Kazakhstan Workplace: hybrid Delivery Hub is one of inDrive’s business units responsible for building and scaling the delivery product, which is rapidly expanding into new markets and adopting an AI-first approach to engineering processes. We are looking for a Tech Lead who will combine hands-on engineering with leadership responsibilities: owning team delivery and execution, defining technical direction and ensuring solution quality, as well as supporting engineers’ growth through feedback, mentoring, and regular 1:1s under the guidance of an Engineering Manager. Key Responsibilities Translate business needs into a technical strategy with measurable outcomes. Ensure alignment with the global company strategy. Identify and propose architectural and technical improvements across the product and platform, using data and trade-off analysis. Advocate, present, and defend technical solutions at the organizational level in collaboration with various stakeholders (Product, Data, Security, SRE, etc.). Participate in reviewing product & technical strategies as a subject-matter expert. Lead the process of technical research and implementation to create or improve services and systems. Write clean, effective, and maintainable code based on company standards. Participate in improving company-wide code and review standards. Take ownership of and improve the Android development lifecycle. Help engineers grow and increase their productivity. Create effective processes for knowledge sharing and collaborative work. Increase the re-use of best practices across teams. Lead task decomposition; mentor engineers and contribute to engineering guidelines. Skills, Knowledge and Expertise 6+ years of commercial Android development; expert in Kotlin and modern Android APIs. Hands-on experience with Retrofit/OkHttp, Coroutines/Flow (plus RxJava for legacy), Jetpack (Compose, WorkManager), Google Maps, FCM, and Gradle. Proven experience with CI/CD (GitHub Actions/GitLab CI), feature flags, and large-scale A/B experimentation. Strong grasp of offline storage, concurrency, performance tuning, and network debugging. Practical expertise in Clean Architecture and mainstream patterns (MVI/MVVM/MVP) applied in production. Deep understanding of client-server interaction and how to make it efficient. Knowledge of specific features and limitations for various use cases. Proven record of mentoring and technical leadership, shaping processes, and raising engineering quality across teams. Strong grasp of backend-service principles, API design, networking, concurrency, and performance optimization. Experience setting up telemetry, dashboards, and automated alerts for production systems; risk assessment and mitigation. Exceptional communication, strategic thinking, and influence; able to drive alignment across multiple teams. AI-first mindset and readiness to adopt AI tools in engineering processes. Real backend development experience is a strong plus. Why join us Help us challenge injustice by creating fair choices for millions of people across 47 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Final benefits may vary depending on the location.

Location: 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: Islamabad, Pakistan Workplace: hybrid The AI Solution Delivery team is expanding its capabilities in NLP to build production-grade AI products. We are looking for a Senior Data Scientist to architect, build and deploy complex models for automating customer support operations. You will be responsible for selecting the right technical approaches and ensuring the scalability of our solutions. A proven track record in applying advanced NLP techniques to real-world problems is required. Key Responsibilities Lead the entire machine learning model lifecycle, from initial research and hypothesis testing to production deployment and maintenance Translate complex business goals into well defined data science problems and quantifiable metrics Design and develop robust, scalable machine learning systems from scratch, including data analysis, annotation, and processing pipelines Contribute to the overall system architecture and integrate ML models with existing backend services and infrastructure Monitor and maintain deployed models, proactively identifying and addressing issues like concept drift to ensure consistent performance Support the development and growth of other team members through mentorship and participation in onboarding programs Drive continuous improvement by automating repetitive tasks and proposing innovative solutions that lead to significant business impact Communicate complex technical concepts and findings clearly and concisely to both technical and non technical stakeholders Skills, Knowledge and Expertise 5 years of professional experience in a data science or machine learning role with deep focus on NLP. Previous software engineering experience is preferrable. An academic background in a quantitative field such as Computer Science, Mathematics, or a related discipline will be a plus Expert level proficiency in Python and its core data science libraries (e.g., Pandas, NumPy, Scikit learn). Deep expertise in classic machine learning and deep learning techniques, with a strong understanding of advanced mathematics relevant to these fields. Experience with ML system design and MLOps practices for building, testing, deploying, and monitoring models in a production environment. Proven experience with event systems, deployment environments, and maintaining production services. Familiarity with technologies for streaming, batch, and async data processing. Strong understanding of software system design principles and the ability to contribute to architectural discussions. Experience in experimental design to validate hypotheses and measure the effectiveness of solutions. A solid grasp of security, risk, and control concepts in a production environment. Conditions & Benefits Help us challenge injustice by creating fair choices for millions of people across 1100+ cities in 48 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Final benefits may vary depending on the location.

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

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

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

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

Location: 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: Limassol, Cyprus Workplace: hybrid inDrive is a global technology company building products used by millions of people around the world. We are looking for a Senior DevOps Engineer to join our Market Intelligence team and help build and maintain reliable, scalable, and efficient infrastructure for data-driven products. In this role, you will work closely with development and data teams, improve CI/CD processes, automate infrastructure and deployments, and ensure the stability and scalability of our systems across different environments Key Responsibilities Building a geo-distributed infrastructure, ensuring maximum performance and reliability of our services Participation in the life cycle of projects at all stages, including the design and development of services, resource planning and maintenance Improving processes related to system maintenance (fault tolerance, scaling, postmortems, finding and eliminating bottlenecks) Automation of build, test and application delivery processes Development of services and infrastructure management tools Taking part in creation of PaaS platform On-call duty Skills, Knowledge and Expertise Deep knowledge and understanding of Linux OS (Ubuntu, Amazon Linux) Deep knowledge of Docker / Containerd containerization technologies Experience in building CI/CD Pipelines Experience in using Ansible / Saltstack and writing roles / playbooks / states / pillars Strong understanding of command of Git Ability to independently decompose tasks and bring them to the end 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 59 200 EUR gross. 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.