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Location: Almaty, Kazakhstan Workplace: remote We are seeking a Project Coordinator (AI think tank initiative) to coordinate a comprehensive project assessing the impact of artificial intelligence on the labor market and key economic sectors of Cyprus. The project spans the entire lifecycle: from multidisciplinary research and data collection to building a unified predictive model, executing a public campaign and deploying B2G and B2C digital products. The implementation horizon is 2025–2030, starting in Cyprus with subsequent international expansion to other markets. Key Responsibilities Coordinate five research tracks: occupation mapping and AI substitution risk studies (ESCO, MOT, OECD), national statistics analysis (CYSTAT, Eurostat), expert scenario modeling, academic validation and AI agent deployment. Engage with the Expert Advisory Board, bringing together top analysts, economists, political scientists, NGO leaders, academic partners and Cypriot government stakeholders. Organize the preparation of analytical deliverables, including the publication of a White Paper, and hold roundtables and workshops with stakeholders and government ministries. Support communication and PR/GR initiatives, special projects with HR platforms, public awareness campaigns and digital preventive qualification services. Assist in the development and rollout of tech solutions: a decision-support dashboard monitoring unemployment risks for government bodies and a mobile career navigator app for citizens. Oversee the pilot phase in 1–2 economic sectors in Cyprus, integrating the predictive model into state structures and preparing for international scalability. Skills, Knowledge and Expertise Experience: Proven experience coordinating or managing multidisciplinary, product or research projects in B2G, B2C, data analytics or AI Knowledge and skills: Labor market research methodologies Open data analysis Practical AI applications Structuring and maintaining project documentation Languages: English (Advanced, C1). Key Competencies: Communication with stakeholders at all levels, including government ministries, academic institutions, international organizations and expert communities Exceptional organization and ability to manage multiple parallel work streams Structured approach to project management and documentation.

Location: Lima, Peru Workplace: hybrid As one of the top mobility companies in the world, we have been redefining the industry with innovative mobile technologies since 2013, driving us toward becoming a super app. Join us in our mission to combat global injustice. We are seeking a strategic Financial Controller to own the close and local regulatory compliance processes for our legal entities in Latin America, with a primary focus on Brazil, Mexico and Peru, and to lead and develop our LATAM accounting team. You will provide thought leadership and accounting expertise to support strategic decision-making in local accounting and compliance matters, and you will leverage your deep knowledge of local compliance requirements to support treasury, tax planning and FP&A. Note: ONLY CVs in English will be considered. Key Responsibilities Lead and develop the LATAM accounting team (about 5 to 6 people across Mexico, Brazil and Peru): give clear structure and guidance, support learning and growth, and hold the team accountable without micromanaging. Perform month-, quarter- and year-end close and financial reporting under U.S. and local GAAP, and ensure compliance with local statutory accounting, tax, cash repatriation and other regulatory requirements. Own local statutory audits, tax audits and regulatory changes in each jurisdiction, working closely with tax agents and business process outsourcers (BPOs). Own general ledger management, account reconciliations, flux analysis and adherence to internal controls; own entity deliverables for the global audit. Lead continuous improvement of the close process, focusing on automation, SOP documentation, scalability and standardization, and reduce the number of days to close. Use technology and AI tools to build and scale automated accounting processes. Guide the business through the accounting operations and compliance setup of newly opened legal entities, including fiscalization and e-invoicing requirements. Identify and resolve operational inefficiencies, accounting issues and regulatory risks with a proactive, data-driven mindset, with a strong understanding of the differences between U.S. GAAP and local GAAP. Partner with Treasury, Tax and FP&A to support cash repatriation, tax planning and forecasting. Skills, Knowledge & Expertise 10+ years of total work experience owning month-, quarter- and year-end close under local and U.S. GAAP, focused on timeliness, accuracy, robust documentation of standard operating procedures, adherence to internal controls and cross-functional collaboration. Must have experience working in a large public company and strong U.S. GAAP knowledge in a Sarbanes-Oxley environment. A strong IFRS background is welcome as long as U.S. GAAP knowledge is solid. Proven people leadership: a strong manager who builds and develops teams, is kind and empathetic while holding people accountable, and is focused on excellence in accounting, close and compliance. Deep experience with local regulatory reporting, taxation and compliance matters, including working with BPOs and tax audits, and the ability to learn the requirements of new jurisdictions quickly and take end-to-end ownership. Proven experience collaborating with cross-functional teams such as treasury, reporting, tax, shared services, HR and FP&A. A builder's mindset focused on constant improvement, with a track record of reducing days to close and bringing efficiencies through technology, standardization of processes and talent development. Strong organizational and prioritization skills, comfortable with ambiguity and working in fast-paced, remote-first, high-productivity and multicultural environments. Clear communication in English, written and spoken. An authorized public accounting license such as Chartered Accountant or local equivalent. Nice to have: experience in tech marketplaces or apps (first preference) or B2B SaaS companies; Big 4 background; NetSuite; hands-on experience building automations with AI tools such as Claude or ChatGPT. Job Benefits Be part of a growing and innovative company with a unique approach to ride-hailing and Fintech solutions. Enjoy a collaborative and supportive work environment where new ideas and perspectives are encouraged and valued. Competitive salary as a full-time employee. Hybrid work arrangements to support a healthy work-life balance.

Location: Bogotá, Colombia Workplace: hybrid As one of the top mobility companies in the world, we have been redefining the industry with innovative mobile technologies since 2013, driving us toward becoming a super app. Join us in our mission to combat global injustice. We are seeking a strategic Financial Controller to own the close and local regulatory compliance processes for our legal entities in Latin America, with a primary focus on Brazil, Mexico and Peru, and to lead and develop our LATAM accounting team. You will provide thought leadership and accounting expertise to support strategic decision-making in local accounting and compliance matters, and you will leverage your deep knowledge of local compliance requirements to support treasury, tax planning and FP&A. Note: ONLY CVs in English will be considered. Key Responsibilities Lead and develop the LATAM accounting team (about 5 to 6 people across Mexico, Brazil and Peru): give clear structure and guidance, support learning and growth, and hold the team accountable without micromanaging. Perform month-, quarter- and year-end close and financial reporting under U.S. and local GAAP, and ensure compliance with local statutory accounting, tax, cash repatriation and other regulatory requirements. Own local statutory audits, tax audits and regulatory changes in each jurisdiction, working closely with tax agents and business process outsourcers (BPOs). Own general ledger management, account reconciliations, flux analysis and adherence to internal controls; own entity deliverables for the global audit. Lead continuous improvement of the close process, focusing on automation, SOP documentation, scalability and standardization, and reduce the number of days to close. Use technology and AI tools to build and scale automated accounting processes. Guide the business through the accounting operations and compliance setup of newly opened legal entities, including fiscalization and e-invoicing requirements. Identify and resolve operational inefficiencies, accounting issues and regulatory risks with a proactive, data-driven mindset, with a strong understanding of the differences between U.S. GAAP and local GAAP. Partner with Treasury, Tax and FP&A to support cash repatriation, tax planning and forecasting. Skills, Knowledge & Expertise 10+ years of total work experience owning month-, quarter- and year-end close under local and U.S. GAAP, focused on timeliness, accuracy, robust documentation of standard operating procedures, adherence to internal controls and cross-functional collaboration. Must have experience working in a large public company and strong U.S. GAAP knowledge in a Sarbanes-Oxley environment. A strong IFRS background is welcome as long as U.S. GAAP knowledge is solid. Proven people leadership: a strong manager who builds and develops teams, is kind and empathetic while holding people accountable, and is focused on excellence in accounting, close and compliance. Deep experience with local regulatory reporting, taxation and compliance matters, including working with BPOs and tax audits, and the ability to learn the requirements of new jurisdictions quickly and take end-to-end ownership. Proven experience collaborating with cross-functional teams such as treasury, reporting, tax, shared services, HR and FP&A. A builder's mindset focused on constant improvement, with a track record of reducing days to close and bringing efficiencies through technology, standardization of processes and talent development. Strong organizational and prioritization skills, comfortable with ambiguity and working in fast-paced, remote-first, high-productivity and multicultural environments. Clear communication in English, written and spoken. An authorized public accounting license such as Chartered Accountant or local equivalent. Nice to have: experience in tech marketplaces or apps (first preference) or B2B SaaS companies; Big 4 background; NetSuite; hands-on experience building automations with AI tools such as Claude or ChatGPT. Job Benefits Be part of a growing and innovative company with a unique approach to ride-hailing and Fintech solutions. Enjoy a collaborative and supportive work environment where new ideas and perspectives are encouraged and valued. Competitive salary as a full-time employee. Hybrid work arrangements to support a healthy work-life balance.

Location: London, United Kingdom Workplace: hybrid The Commercial Lead will own the sales pipeline and revenue, driving outbound sales and managing complex B2B deals with AI and data companies, from qualification and pilots to recurring contracts. The role also includes developing strategic partnerships and channels, shaping pricing and commercial terms, and bringing customer demand and market insights back to product and operations. Key Responsibilities Own the pipeline and the number Build and run outbound to AI labs, applied AI companies, and data vendors who need collection capacity they don't have in-house. Qualify hard and early: match buyer requirements against what our network can realistically deliver, and walk away from deals that don't fit. Run complex, technical deals Sell to technical buyers - data leads, research managers, ML and data ops teams - in long, spec-heavy, consultative cycles. Collect buyer requirements (languages, demographics, modality, annotation depth, licensing scope), push back when a spec isn't deliverable. Manage pilots and convert them into recurring volume. Shape pricing and commercial framework Own our price book across modalities (per audio hour, per image, per video hour, per annotated unit) and defend margin against buyer pressure and vendor benchmarks. Alongside with the business unit leader work with legal, privacy and tax on DPAs, consent frameworks,contracts across multiple jurisdictions. Build the channel Develop partnerships with data vendors and platforms who can route demand to us where we have coverage they lack. Represent DataTasks at the venues where this market actually buys - research conferences, data and AI events, and buyer-side procurement teams. Feed the roadmap Bring structured demand signal back into product and operations Qualifications Must have Experience in B2B sales, business or commercial roles, with a track record of closing complex deals you personally sourced and ran. Direct experience in AI/ML data, data annotation and labelling services, data licensing, or a closely adjacent technical services market. Comfort selling to technical and research buyers. Genuine zero-to-one appetite. There is no inbound, no established brand in this market, and no playbook to inherit. Fluent English, written and spoken, at a level suitable for negotiating with US and EU counterparties. Nice to have An existing network among AI labs, data vendors, or enterprise AI teams. Experience operating in or selling data from emerging markets. Working knowledge of data protection regimes (GDPR, LGPD, and equivalents in our operating markets). Additional languages, particularly Spanish, Portuguese or Russian. Why join us Help us challenge injustice by creating fair choices for millions of people across 47 countries Develop your professional skills with access to mentoring, career consulting, and learning programs Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects Work alongside people who take initiative, speak openly, and challenge themselves to grow Improve your language skills through co-financed courses and internal speaking clubs Final benefits may vary depending on the location.

Location: Almaty, Kazakhstan Workplace: hybrid We are seeking a Payroll lead to own the financial side of payroll across all inVision companies, turning HR data into accurate payroll calculations, a reliable budget and clear insights for leadership. The role combines payroll budgeting and financial modeling with hands-on payroll execution, tax management across jurisdictions and close cooperation with HR, accounting and external payroll providers. It is critical to keeping payroll costs transparent, compliant and under control as the organization grows. Key Responsibilities 1. Payroll Planning and Budgeting Build the payroll budgeting process (salaries, bonuses, contributions) across all inVision companies. Create and maintain a strategic, automated payroll financial model in Google Sheets. Prepare the payroll budget for the financial period and update it based on data provided by HR. Calculate the full cost of positions: monthly gross, employer taxes and contributions, annual bonus, currency. Check each position against the payroll limit. Prepare the payroll budget and submit it for approval to the CFO and the Director. 2. Payroll Tax Burden Maintain and update tax conditions for key inVision jurisdictions: tax and social contribution rates, caps, thresholds and payment deadlines (together with local advisors). Calculate employer and employee tax burden for each jurisdiction for the payroll budget and position costing. Monitor changes in tax legislation, assess their impact on the payroll budget and update the financial model on time. Plan payroll tax and social contribution payments in the budget in line with payment deadlines. Analyze payroll tax risks. 3. Financial Control Enter changes provided by HR into the financial model and keep the data up to date. Check new positions and changes against the payroll budget and limits. 4. Monthly Payroll Cycle Calculate salaries, taxes and contributions in Kazakhstan based on HR documents and events (hiring, terminations, vacations, sick leave, timesheets). Calculate payments to other individuals in Kazakhstan (civil-law contracts, student payments). Calculate and pay taxes and contributions for employees and individuals in Kazakhstan. Prepare and submit tax and contribution reports in Kazakhstan. In other jurisdictions, review and control them together with local advisors. Prepare payment registers and organize salary payments. Prepare accounting entries and reconcile payroll with the general ledger monthly. Calculate final settlements on termination based on HR data. 5. Financial Assessment of Compensation Changes Calculate the payroll budget impact of compensation changes (raises, indexations, transfers) approved and provided by HR. Assess requests that exceed department limits for review by the CFO and the Director. Calculate the bonus pool, book accruals and process bonus payments based on HR data. Reallocate payroll limits between departments and legal entities within the approved budget. 6. Control and Analytics Run plan-vs-actual analysis and rolling forecasts for payroll. Prepare management analysis and payroll reports for leadership. 7. Methodology and Development Develop and maintain policies and control procedures for the financial part of the payroll process. Work with HR, accounting, banks, external payroll providers and auditors on financial payroll matters. Take part in automation and ERP system development for payroll. Skills, Knowledge and Expertise Requirements Degree in Economics or Finance. Certifications in payroll, taxation or accounting are a plus. At least 4–5 years of experience in payroll, tax and contribution calculations and/or payroll budget planning. Experience in other jurisdictions is a plus. Experience coordinating external payroll providers and cross-functional processes (HR, accounting, finance). Strong knowledge of labor and tax legislation related to payroll, taxes and social contributions (Kazakhstan is required; other jurisdictions where we operate are a plus). Experience building financial models and budgets. Experience with the full payroll cycle in Kazakhstan: calculation, reporting to social funds, payments, accounting entries and reconciliation. Experience with payroll, HR and accounting/ERP systems (1C:ZUP or similar) and master data management. Advanced Excel / Google Sheets skills (pivot tables, models, formulas) and financial analysis skills. English at C1 level or higher. Key Competencies Attention to detail and accuracy. Error-free work with large volumes of calculations and personal data. Confidentiality and ethics. Strict confidentiality of employee compensation information. Analytical thinking. Ability to explain variances and turn numbers into insights for leadership. Cross-functional communication. Constructive work with HR, department heads and the CFO; ability to defend budget limits with clear arguments. Ownership and meeting deadlines. Strict adherence to payroll calendar and tax reporting deadlines. Flexibility and adaptability in a fast-changing environment. Ability to respond quickly to shifting project priorities and reflect changes in payroll records.

Location: Recife, Brazil Workplace: hybrid As one of the top mobility companies in the world, we have been redefining the industry with innovative mobile technologies since 2013, driving us toward becoming a super app. Join us in our mission to combat global injustice. We are seeking a strategic Financial Controller to own the close and local regulatory compliance processes for our legal entities in Latin America, with a primary focus on Brazil, Mexico and Peru, and to lead and develop our LATAM accounting team. You will provide thought leadership and accounting expertise to support strategic decision-making in local accounting and compliance matters, and you will leverage your deep knowledge of local compliance requirements to support treasury, tax planning and FP&A. Note: ONLY CVs in English will be considered. Key Responsibilities Lead and develop the LATAM accounting team (about 5 to 6 people across Mexico, Brazil and Peru): give clear structure and guidance, support learning and growth, and hold the team accountable without micromanaging. Perform month-, quarter- and year-end close and financial reporting under U.S. and local GAAP, and ensure compliance with local statutory accounting, tax, cash repatriation and other regulatory requirements. Own local statutory audits, tax audits and regulatory changes in each jurisdiction, working closely with tax agents and business process outsourcers (BPOs). Own general ledger management, account reconciliations, flux analysis and adherence to internal controls; own entity deliverables for the global audit. Lead continuous improvement of the close process, focusing on automation, SOP documentation, scalability and standardization, and reduce the number of days to close. Use technology and AI tools to build and scale automated accounting processes. Guide the business through the accounting operations and compliance setup of newly opened legal entities, including fiscalization and e-invoicing requirements. Identify and resolve operational inefficiencies, accounting issues and regulatory risks with a proactive, data-driven mindset, with a strong understanding of the differences between U.S. GAAP and local GAAP. Partner with Treasury, Tax and FP&A to support cash repatriation, tax planning and forecasting. Skills, Knowledge & Expertise 10+ years of total work experience owning month-, quarter- and year-end close under local and U.S. GAAP, focused on timeliness, accuracy, robust documentation of standard operating procedures, adherence to internal controls and cross-functional collaboration. Must have experience working in a large public company and strong U.S. GAAP knowledge in a Sarbanes-Oxley environment. A strong IFRS background is welcome as long as U.S. GAAP knowledge is solid. Proven people leadership: a strong manager who builds and develops teams, is kind and empathetic while holding people accountable, and is focused on excellence in accounting, close and compliance. Deep experience with local regulatory reporting, taxation and compliance matters, including working with BPOs and tax audits, and the ability to learn the requirements of new jurisdictions quickly and take end-to-end ownership. Proven experience collaborating with cross-functional teams such as treasury, reporting, tax, shared services, HR and FP&A. A builder's mindset focused on constant improvement, with a track record of reducing days to close and bringing efficiencies through technology, standardization of processes and talent development. Strong organizational and prioritization skills, comfortable with ambiguity and working in fast-paced, remote-first, high-productivity and multicultural environments. Clear communication in English, written and spoken. An authorized public accounting license such as Chartered Accountant or local equivalent. Nice to have: experience in tech marketplaces or apps (first preference) or B2B SaaS companies; Big 4 background; NetSuite; hands-on experience building automations with AI tools such as Claude or ChatGPT. Job Benefits Be part of a growing and innovative company with a unique approach to ride-hailing and Fintech solutions. Enjoy a collaborative and supportive work environment where new ideas and perspectives are encouraged and valued. Competitive salary as a full-time employee. Hybrid work arrangements to support a healthy work-life balance.

Location: Kathmandu, Nepal Workplace: hybrid This role supports regional supply growth by identifying, engaging, and onboarding fleet partners, as well as maintaining day-to-day relationships with existing accounts. You assist in building the local ecosystem of value-added networks with dealers, insurers, and service providers to strengthen the platform's proposition for fleet operators. Operationally, you monitor driver performance metrics, support partner onboarding workflows, and collaborate with internal teams to resolve operational issues. You execute localized fleet initiatives by translating defined strategies into concrete outreach and partnership activity. Key Responsibilities 1. Partnership Development & Onboarding Find and prospect new fleet partners through outreach, referrals, and research Support contracting end to end, keeping commercial terms and compliance in line Act as the day-to-day contact for fleet partners — handle routine requests and escalate complex ones 2. Strategy Execution & Market Intelligence Execute the local fleet strategy in line with defined goals Track market trends and competitor activity, and share insights to sharpen the fleet value proposition Help identify geographic and category expansion opportunities in your country 3. Ecosystem & Vendor Support Help build and maintain a network of third-party vendors for fleet partners: OEMs & dealers: secure vehicle supply and purchase agreements Banks / leasing companies: help arrange financing for partners Package and pitch bundled offers (e.g. "Vehicle + Finance + Maintenance") to prospective partners 4. Operational Excellence & Analytics Monitor partner-driver KPIs (utilization, acceptance rate, active vehicles, number of rides) Run regular check-ins with partners to surface bottlenecks and flag improvements Work with cross-functional teams (Driver Operations, Marketing, Legal, Finance) for smooth onboarding and payments Skills, Knowledge & Expertise English: B2 level or higher is a must, since the role involves constant work with HQ Negotiation: proven experience managing B2B negotiations and contracts - required Experience: 1–2 years in Business Development or Key Account Management Analytical mindset: confident using data to make decisions; Google Sheets / Excel - required Relationship building: strong interpersonal skills; able to influence external stakeholders Education: Bachelor's degree in Business Administration, Economics or a related field Job Benefits Help us challenge injustice by creating fair choices for millions of people across 1100+ cities in 48 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Final benefits may vary depending on the location

Location: Limassol, Cyprus Workplace: hybrid We are looking for an Application Security Engineer in the AppSec team. As a Senior Application Security Engineer at inDrive, you will own whole areas of our AppSec program, from security requirements and design reviews to controls that work in production. You will work with product, platform and infrastructure teams on new architecture, AI systems and the security of our apps and services. The role fits a hands-on engineer who reviews code and architecture, leads work across several teams and makes security decisions based on data. Key Responsibilities Own one or more areas of the AppSec program end to end, including the plan, the risks and the metrics. Run security design reviews and threat modeling of new features, services and AI systems, and defend security requirements at the architecture committee. Assess the security of web, mobile and API applications and find variants of confirmed vulnerabilities across other services. Coordinate external security assessments and bug bounty findings, from triage and prioritisation with teams to fix verification. Design secure authentication and authorization between users, services and internal tools together with platform teams. Choose, pilot and tune security tools, and keep only those that pay off in real findings. Turn incidents and assessment results into lasting controls, policies and secure defaults for developers. Consult development teams on complex security issues and take shifts in AppSec duty for Critical and High incidents. Skills, Knowledge and Expertise Higher education in IT, preferably in information security. Knowledge of mobile application security on Android and iOS, client-server trust, app integrity and protection against bots and account takeover. Deep knowledge of web and API security, including authentication and authorization flaws, SSRF, injections and business logic issues, and the ability to find variants of a vulnerability class across many services. Strong understanding of identity and access, OAuth 2.0, OIDC, JWT, signing key rotation, mTLS, service-to-service authentication and SSO. Understanding of security risks of AI systems and LLM agents, such as prompt injection, excessive tool permissions and agent access to sensitive data, and practical use of AI in your own security work. Practical understanding of cloud-native infrastructure, Kubernetes, containers, API gateways and AWS. Experience in threat modeling and security design review of new features and architecture. Understanding of vulnerability management and risk, including severity, SLA, compensating controls and risk acceptance. Ability to read and review code in at least one language, preferably Golang. Track record of leading projects with two or more teams from a requirement to a verified fix, and clear written English. Experience with secrets and key management, rotation and response to credential leaks. Nice to have Knowledge of software supply chain security, dependencies, CI/CD pipelines and source control platform hardening. Experience tuning SAST, DAST and SCA tools for precision and judging a tool by noise and cost per real finding. Why join us Help us challenge injustice by creating fair choices for millions of people across 47 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Annual salary from 70 700 EUR gross. Final benefits may vary depending on the location.

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

Location: Cairo, Egypt Workplace: hybrid inDrive runs many ML models across 48 countries, and the platform under them is growing fast. Teams ship to Databricks, SageMaker and self-managed GPU inference, and LLM workloads are moving into production. We are hiring a Backend Engineer to build and run the services and tooling that ML teams depend on. You will write production-grade Go and Python, own your services from design to on-call, and learn the MLOps stack (Terraform, Kubernetes, Databricks, SageMaker) on the job. You will work with data scientists, ML engineers, and software and data engineers. Key Responsibilities Design, build and run backend services and internal tooling for the ML platform, in Go and Python, and own them in production: delivery, monitoring, on-call. Drive technical research and design for new platform features. Weigh trade-offs and write them down. Build and extend the deployment tooling and SDKs ML teams use to ship models, including serving, autoscaling and data capture. Integrate ML services with the wider backend: sync (HTTP, gRPC) and async (Kafka, RabbitMQ) communication, built for reliability under high load. Support the full ML delivery cycle with data scientists and ML engineers: CI/CD for models and pipelines, monitoring, and model performance metrics. Build observability end to end: metrics, logs, dashboards, tracing, alerting and runbooks. Write infrastructure as code with Terraform and Terragrunt, and ship it through reviewed pull requests. Take part in code and design reviews and help raise the engineering bar. Mentor engineers and hold AI-generated changes to the same review standard as human ones. Skills, Knowledge and Expertise 3+ years of commercial backend engineering, including high-load systems. Strong Go: you know and have used its advanced features in production. Solid Python for data processing (batch, streaming and async) and for service code. Strong SQL: schema design, indexes, query optimisation, and scaling approaches such as replication and partitioning. Experience with Redis or similar key-value stores. Experience with sync and async service communication (HTTP, gRPC, Kafka or RabbitMQ), with a focus on reliability. Docker, CI/CD pipelines, and working Kubernetes knowledge. Experience with AWS/GCP core services (compute, storage, networking, IAM). Understanding of the ML lifecycle: data preparation, model performance metrics, non-functional requirements, and concept drift in production. Familiarity with scikit-learn, PyTorch/TensorFlow. Experience designing and running observability: metrics, logging, dashboards, tracing (Prometheus, Grafana, ELK or similar). Git workflows and code review, comfortable Linux command line, and networking basics (TCP/IP, DNS, VPC, load balancers). Ability to explain a trade-off clearly to a data scientist, a product owner and an on-call engineer. Nice to have: Hands-on experience with MLOps tooling: Databricks (Unity Catalog, Asset Bundles), SageMaker, Kubeflow, MLflow or Airflow. GPU or LLM inference experience (vLLM, Triton, Langfuse). Experience using AI coding agents with full review of generated changes. Experience in emerging markets, or building where there is no playbook yet. Experience with Infrastructure-as-Code (IaC) tools Why join us Real scale and real constraints: models serving a global fleet, GPU budgets that matter, LLM workloads reaching production. A strong backend engineer can grow into the MLOps domain here. We will teach you the platform side; you bring the engineering craft. Help us challenge injustice by creating fair choices for millions of people across 48 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Final benefits may vary depending on the location.

Location: Islamabad, Pakistan Workplace: hybrid inDrive runs many ML models across 48 countries, and the platform under them is growing fast. Teams ship to Databricks, SageMaker and self-managed GPU inference, and LLM workloads are moving into production. We are hiring a Backend Engineer to build and run the services and tooling that ML teams depend on. You will write production-grade Go and Python, own your services from design to on-call, and learn the MLOps stack (Terraform, Kubernetes, Databricks, SageMaker) on the job. You will work with data scientists, ML engineers, and software and data engineers. Key Responsibilities Design, build and run backend services and internal tooling for the ML platform, in Go and Python, and own them in production: delivery, monitoring, on-call. Drive technical research and design for new platform features. Weigh trade-offs and write them down. Build and extend the deployment tooling and SDKs ML teams use to ship models, including serving, autoscaling and data capture. Integrate ML services with the wider backend: sync (HTTP, gRPC) and async (Kafka, RabbitMQ) communication, built for reliability under high load. Support the full ML delivery cycle with data scientists and ML engineers: CI/CD for models and pipelines, monitoring, and model performance metrics. Build observability end to end: metrics, logs, dashboards, tracing, alerting and runbooks. Write infrastructure as code with Terraform and Terragrunt, and ship it through reviewed pull requests. Take part in code and design reviews and help raise the engineering bar. Mentor engineers and hold AI-generated changes to the same review standard as human ones. Skills, Knowledge and Expertise 3+ years of commercial backend engineering, including high-load systems. Strong Go: you know and have used its advanced features in production. Solid Python for data processing (batch, streaming and async) and for service code. Strong SQL: schema design, indexes, query optimisation, and scaling approaches such as replication and partitioning. Experience with Redis or similar key-value stores. Experience with sync and async service communication (HTTP, gRPC, Kafka or RabbitMQ), with a focus on reliability. Docker, CI/CD pipelines, and working Kubernetes knowledge. Experience with AWS/GCP core services (compute, storage, networking, IAM). Understanding of the ML lifecycle: data preparation, model performance metrics, non-functional requirements, and concept drift in production. Familiarity with scikit-learn, PyTorch/TensorFlow. Experience designing and running observability: metrics, logging, dashboards, tracing (Prometheus, Grafana, ELK or similar). Git workflows and code review, comfortable Linux command line, and networking basics (TCP/IP, DNS, VPC, load balancers). Ability to explain a trade-off clearly to a data scientist, a product owner and an on-call engineer. Nice to have: Hands-on experience with MLOps tooling: Databricks (Unity Catalog, Asset Bundles), SageMaker, Kubeflow, MLflow or Airflow. GPU or LLM inference experience (vLLM, Triton, Langfuse). Experience using AI coding agents with full review of generated changes. Experience in emerging markets, or building where there is no playbook yet. Experience with Infrastructure-as-Code (IaC) tools Why join us Real scale and real constraints: models serving a global fleet, GPU budgets that matter, LLM workloads reaching production. A strong backend engineer can grow into the MLOps domain here. We will teach you the platform side; you bring the engineering craft. Help us challenge injustice by creating fair choices for millions of people across 48 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Final benefits may vary depending on the location.

Location: Almaty, Kazakhstan Workplace: hybrid inDrive runs many ML models across 48 countries, and the platform under them is growing fast. Teams ship to Databricks, SageMaker and self-managed GPU inference, and LLM workloads are moving into production. We are hiring a Backend Engineer to build and run the services and tooling that ML teams depend on. You will write production-grade Go and Python, own your services from design to on-call, and learn the MLOps stack (Terraform, Kubernetes, Databricks, SageMaker) on the job. You will work with data scientists, ML engineers, and software and data engineers. Key Responsibilities Design, build and run backend services and internal tooling for the ML platform, in Go and Python, and own them in production: delivery, monitoring, on-call. Drive technical research and design for new platform features. Weigh trade-offs and write them down. Build and extend the deployment tooling and SDKs ML teams use to ship models, including serving, autoscaling and data capture. Integrate ML services with the wider backend: sync (HTTP, gRPC) and async (Kafka, RabbitMQ) communication, built for reliability under high load. Support the full ML delivery cycle with data scientists and ML engineers: CI/CD for models and pipelines, monitoring, and model performance metrics. Build observability end to end: metrics, logs, dashboards, tracing, alerting and runbooks. Write infrastructure as code with Terraform and Terragrunt, and ship it through reviewed pull requests. Take part in code and design reviews and help raise the engineering bar. Mentor engineers and hold AI-generated changes to the same review standard as human ones. Skills, Knowledge and Expertise 3+ years of commercial backend engineering, including high-load systems. Strong Go: you know and have used its advanced features in production. Solid Python for data processing (batch, streaming and async) and for service code. Strong SQL: schema design, indexes, query optimisation, and scaling approaches such as replication and partitioning. Experience with Redis or similar key-value stores. Experience with sync and async service communication (HTTP, gRPC, Kafka or RabbitMQ), with a focus on reliability. Docker, CI/CD pipelines, and working Kubernetes knowledge. Experience with AWS/GCP core services (compute, storage, networking, IAM). Understanding of the ML lifecycle: data preparation, model performance metrics, non-functional requirements, and concept drift in production. Familiarity with scikit-learn, PyTorch/TensorFlow. Experience designing and running observability: metrics, logging, dashboards, tracing (Prometheus, Grafana, ELK or similar). Git workflows and code review, comfortable Linux command line, and networking basics (TCP/IP, DNS, VPC, load balancers). Ability to explain a trade-off clearly to a data scientist, a product owner and an on-call engineer. Nice to have: Hands-on experience with MLOps tooling: Databricks (Unity Catalog, Asset Bundles), SageMaker, Kubeflow, MLflow or Airflow. GPU or LLM inference experience (vLLM, Triton, Langfuse). Experience using AI coding agents with full review of generated changes. Experience in emerging markets, or building where there is no playbook yet. Experience with Infrastructure-as-Code (IaC) tools Why join us Real scale and real constraints: models serving a global fleet, GPU budgets that matter, LLM workloads reaching production. A strong backend engineer can grow into the MLOps domain here. We will teach you the platform side; you bring the engineering craft. Help us challenge injustice by creating fair choices for millions of people across 48 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Final benefits may vary depending on the location.

Location: Almaty, Kazakhstan Workplace: onsite We are looking for an Intercompany Accountant to own the full cycle of intercompany accounting across our international group of companies. You will handle intercompany services, loans, royalties, and cost allocations, and take part in month-end and year-end close. Your work will include account reconciliations, interest accruals, intercompany eliminations, and support for external audits. You will collaborate closely with Finance Controllers and with the Tax, Treasury, and Legal teams, and help implement our new ERP system (NetSuite). We are looking for a confident professional who is comfortable working across local statutory accounting standards and US GAAP. Key Responsibilities Record and manage all intercompany transactions across the group Ensure accuracy of primary documentation and compliance with intercompany agreements Perform monthly and quarterly intercompany reconciliations and resolve discrepancies Calculate and accrue interest on intercompany loans Calculate and post cost-plus intercompany transactions, including mark-ups and related journal entries Prepare intercompany journal entries, accruals, reclassifications and eliminations Calculate and post cost allocations and recharges Support month-end, quarter-end and year-end closing processes Maintain and initiate intercompany agreements in cooperation with Legal teams Ensure compliance with transfer pricing policies and group accounting standards Participate in ERP (NetSuite) implementation and improvement of intercompany processes Prepare documentation and support audits, tax reviews and treasury-related requests Skills, Knowledge & Expertise 5+ years of accounting experience in international companies Strong hands-on experience in intercompany accounting Solid knowledge of IFRS and US GAAP Experience with period close, intercompany reconciliations and eliminations Experience with intercompany loans, interest calculations, cost-plus transactions, cost allocations and related journal entries Participation in audits and preparation of supporting documentation Experience working with ERP systems (NetSuite is a plus) Confident and mature professional, able to work on equal terms with finance controllers 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: Mexico City, Mexico 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: Limassol, Cyprus Workplace: hybrid inDrive runs many ML models across 48 countries, and the platform under them is growing fast. Teams ship to Databricks, SageMaker and self-managed GPU inference, and LLM workloads are moving into production. We are hiring a Backend Engineer to build and run the services and tooling that ML teams depend on. You will write production-grade Go and Python, own your services from design to on-call, and learn the MLOps stack (Terraform, Kubernetes, Databricks, SageMaker) on the job. You will work with data scientists, ML engineers, and software and data engineers. Key Responsibilities Design, build and run backend services and internal tooling for the ML platform, in Go and Python, and own them in production: delivery, monitoring, on-call. Drive technical research and design for new platform features. Weigh trade-offs and write them down. Build and extend the deployment tooling and SDKs ML teams use to ship models, including serving, autoscaling and data capture. Integrate ML services with the wider backend: sync (HTTP, gRPC) and async (Kafka, RabbitMQ) communication, built for reliability under high load. Support the full ML delivery cycle with data scientists and ML engineers: CI/CD for models and pipelines, monitoring, and model performance metrics. Build observability end to end: metrics, logs, dashboards, tracing, alerting and runbooks. Write infrastructure as code with Terraform and Terragrunt, and ship it through reviewed pull requests. Take part in code and design reviews and help raise the engineering bar. Mentor engineers and hold AI-generated changes to the same review standard as human ones. Skills, Knowledge and Expertise 3+ years of commercial backend engineering, including high-load systems. Strong Go: you know and have used its advanced features in production. Solid Python for data processing (batch, streaming and async) and for service code. Strong SQL: schema design, indexes, query optimisation, and scaling approaches such as replication and partitioning. Experience with Redis or similar key-value stores. Experience with sync and async service communication (HTTP, gRPC, Kafka or RabbitMQ), with a focus on reliability. Docker, CI/CD pipelines, and working Kubernetes knowledge. Experience with AWS/GCP core services (compute, storage, networking, IAM). Understanding of the ML lifecycle: data preparation, model performance metrics, non-functional requirements, and concept drift in production. Familiarity with scikit-learn, PyTorch/TensorFlow. Experience designing and running observability: metrics, logging, dashboards, tracing (Prometheus, Grafana, ELK or similar). Git workflows and code review, comfortable Linux command line, and networking basics (TCP/IP, DNS, VPC, load balancers). Ability to explain a trade-off clearly to a data scientist, a product owner and an on-call engineer. Nice to have: Hands-on experience with MLOps tooling: Databricks (Unity Catalog, Asset Bundles), SageMaker, Kubeflow, MLflow or Airflow. GPU or LLM inference experience (vLLM, Triton, Langfuse). Experience using AI coding agents with full review of generated changes. Experience in emerging markets, or building where there is no playbook yet. Experience with Infrastructure-as-Code (IaC) tools Why join us Help us challenge injustice by creating fair choices for millions of people across in 47 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Annual salary starting from 59 200 EUR gross Final benefits may vary depending on the location.

Location: Kuala Lumpur, Malaysia Workplace: hybrid We are looking for a Customer Support Specialist to deliver responsive, professional, and high-quality customer support. This role is key in ensuring customer issues are resolved efficiently while providing an excellent service experience across chat, email, and occasional outbound calls. Key Responsibilities Handle customer inquiries via live chat and email as primary channels, with occasional outbound calls for follow-ups and verification Diagnose, troubleshoot, and resolve customer issues accurately and efficiently Manage returns, exchanges, refunds, and customer complaints in line with company guidelines Maintain accurate and detailed records of customer interactions in the CRM system Provide timely updates to customers on case progress and resolution status Handle complex or unresolved cases by escalating them to the relevant internal teams Ensure proper escalation of issues for investigation and resolution Gather and escalate customer feedback to support continuous improvement Maintain high standards of professionalism, empathy, and service quality in all interactions Support the achievement of CSAT and other performance KPIs Able to work on site Skills, Knowledge and Expertise Minimum 1 year of experience in Customer Service, Technical Support, or Contact Center environment Minimum Diploma in any field Strong typing skills with high accuracy for real-time case handling Ability to multitask and manage 3 to 5 live chat conversations simultaneously Comfortable working in a fast-paced environment with frequent updates and changes Strong communication skills, both written and verbal Good problem-solving and troubleshooting abilities Experience using CRM systems or support tools is an advantage Strong sense of accountability, ownership, and customer focus Reliable with strong attendance and punctuality record Flexibility to be assigned to support different regions on an ad hoc basis Languages: Bahasa( Indonesian), Malay and English are needed. Why join us 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.