Location: Almaty, Kazakhstan
Workplace: onsite
We're looking for a cross-functional
Project Manager
to bridge our FinTech Product and Business teams, own a large share of country-level monetisation work, and support new market launches.
You'll keep fintech initiatives moving by coordinating non-standard projects with Legal and Tax, and by building playbooks that stop recurring legal, tax, and regulatory issues from blocking product work.
This is an individual contributor role that works closely with Legal, Tax, local business, Product, and Analytics/Strategy teams.
Key Responsibilities
Special fintech projects
— Lead non-standard, cross-functional fintech product projects from start to finish. Define scope and timelines, coordinate the teams involved, flag dependencies and requirements early, and keep delivery on track.
Unblocking product delivery
— Identify what slows down or blocks fintech product initiatives across functions. Resolve issues with the relevant teams and escalate when needed so product work keeps moving.
Playbooks & shared learnings
— Turn recurring blockers, requirements, and their solutions into reusable playbooks. Share them across product and regional teams so the same issues don't come up again on future projects.
Country monetization schemes
— Own coordination with local business teams and supporting functions on designing and adjusting country-level monetization schemes. Identify where schemes need to change and drive those changes through to implementation.
Monetization planning
— Work with analysts and strategists to build monetization plans for each country or region, bringing together input from all relevant teams.
New country launches
— Support fintech launches in new markets by coordinating readiness across product, local business, and supporting functions.
Skills, Knowledge & Expertise
4–6 years in project management, business operations, or fintech/product, ideally with multi-market exposure
Proven track record of driving cross-functional projects to completion without direct authority
Strong stakeholder management and communication skills
Ability to turn ambiguous problems into clear plans, owners, and timelines
Fluency in English and Russian
Understanding of payment and monetization models is a plus
Why join us
Help us challenge injustice by creating fair choices for millions of people across 47 countries.
Develop your professional skills with access to mentoring, career consulting, and learning programs.
Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program.
Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects.
Work alongside people who take initiative, speak openly, and challenge themselves to grow.
Improve your language skills through co-financed courses and internal speaking clubs.
Final benefits may vary depending on the location.
Location: Almaty, Kazakhstan
Workplace: onsite
We are seeking a bilingual
Customer Support Specialist
to handle omnichannel inquiries (phone, email, and chat) on a flexible 2-and-2 rotating schedule.
In this role, you will quickly resolve customer issues, process returns and complaints, and accurately document every interaction within our CRM system. You will act as a vital bridge for user feedback, forwarding insights to relevant departments while keeping customers informed about their inquiry status.
The ideal candidate possesses excellent oral and written communication skills in both
Russian and Kazakh,
maintaining a polite and professional dialogue at all times.
Key Responsibilities
Responding to phone calls, emails, and chat messages.
Quickly and efficiently resolving customer issues.
Processing returns, exchanges, and customer complaints.
Keeping records of each interaction with customers.
Updating customer information in the CRM system.
Collecting and forwarding customer feedback to relevant departments.
Informing customers about the status of their inquiries.
Skills, Knowledge and Expertise
Excellent oral and written communication skills for both Russian and Kazakh languages.
Ability to conduct dialogue politely and professionally.
Ability to work with large volumes of information.
Attention to detail and accuracy in documentation.
Proficiency in PC and basic office programs.
Skills in working with CRM systems and other specialized software.
Why join us
Help us challenge injustice by creating fair choices for millions of people across 47 countries.
Develop your professional skills with access to mentoring, career consulting, and learning programs.
Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program.
Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects.
Work alongside people who take initiative, speak openly, and challenge themselves to grow.
Improve your language skills through co-financed courses and internal speaking clubs.
Final benefits may vary depending on the location.
Location: Bogotá, Colombia
Workplace: hybrid
inDrive is a global mobility platform built on fairness: passengers and drivers agree on the price together. We are building a Loyalty Program that rewards passengers for riding with us and gives them real value, not endless promotions.
As Partnership Manager, Loyalty, you will own the benefits side of that program globally, across all of inDrive's markets. You will shape the value proposition across three types of benefits: external benefits co-funded by banks, financial groups and consumer brands; internal benefits funded by inDrive; and product benefits built into the app. You will bring partners on board and turn conversations into signed agreements that work in practice, and you will run experiments across all three until we find the mix that passengers actually adopt. You will be the first dedicated hire on this workstream, reporting directly to the Global Director of Loyalty.
Disclaimer: CVs in Spanish will NOT be considered.
Key Responsibilities
Build and prioritize the global partner pipeline, with local depth in your region, choosing partners by fit with the program rather than by the volume they offer.
Lead negotiations with Strategic Alliances teams at banks and financial groups, and guide them through their internal approvals (Risk, Legal, Product, Finance).
Structure and negotiate term sheets, campaign terms and settlement mechanics together with our Legal and Finance teams.
Shape the value proposition for external benefits (partner-funded) and internal benefits (inDrive-funded), and keep both coherent for the passenger.
Champion product benefits internally: build the case with Product and other teams so that app features become part of the loyalty offer.
Run the experimentation across all benefit types, from hypothesis to test design and readout, until we find the sweet spot of adoption.
Work with Product and Fintech teams so every agreement can run on our native product and wallet.
Define the partner offer catalog and the criteria for turning down offers that do not give passengers fair value.
Track benefit and partner performance (adoption, redemptions, incrementality, return for both sides) and report it to leadership.
Represent inDrive in front of partner executives across our markets.
Skills, Knowledge & Expertise
6 to 10 years in partnerships, strategic alliances or business development, with at least 3 in loyalty, cashback, fintech, payments, super-apps or marketplaces.
A track record negotiating co-funded campaigns or agreements with external funders such as banks, card issuers or large consumer brands.
Experience working with Strategic Alliances teams at banks or financial groups and navigating their internal approval chain.
Experience structuring deals with Legal and Finance: term sheets, campaign terms, settlements.
Hands-on experience designing and running experiments on benefits or offers (A/B tests, pilots) and acting on the results.
Comfort with data: you read redemption dashboards and understand incrementality and campaign ROI.
Fluent Spanish and English.
How you work
You influence without authority, moving several internal teams and an external partner at once.
You translate between worlds: you can explain our model to a bank and a bank's request to our Legal and Finance teams.
You have the judgment to say no to volume that does not serve passengers, and the tact to keep the relationship.
You are comfortable building from zero, with no closed playbook.
You communicate clearly with executives and work autonomously through long negotiation cycles.
You care about fair value for passengers, not only about the size of the funding.
Nice to have
Experience inside a bank, card issuer or fintech, or an existing network in one or more of inDrive's markets.
Knowledge of banking and fintech ecosystems in emerging markets across Latin America, Asia or Africa.
Experience with both funding models: partner prefunds the incentive, or the platform advances it and settles later.
Background in ride-hailing, delivery or mobility.
Having launched a partner program from scratch.
Interest in purpose-driven initiatives.
Location and team
Scope:
Global. You will build partnerships and benefits across inDrive's markets in Latin America, Asia, Africa and beyond.
Location:
Peru, Colombia or Mexico. We will prioritize candidates with a network in Peru or Colombia.
Reports to:
Global Director of Loyalty.
Works with:
Product, Fintech, Legal, Finance and the corporate Partnerships team, on a global, English-speaking team.
Location: Sao Paulo, Brazil (Sao Paulo)
Workplace: hybrid
As a Driver Marketing Specialist, you will own driver marketing in Brazil, from insights and communication strategy to campaign launches in the market. You'll work closely with the Driver Operations, Brand, Analytics, and regional marketing teams, and you'll have real influence on the growth of one of our key markets.
Key Responsibilities
Turn BHT and competitor insights into clear recommendations for driver positioning, messaging, and campaigns; create and execute communication plans, and manage the driver marketing budget.
Measure the impact of marketing activities through pre/post studies and ad testing, and connect brand KPIs with business results such as sign-ups and retention.
Align with the Driver Ops team on acquisition campaigns, referral programs and lifecycle communications, so that all driver touchpoints stay consistent with the brand strategy.
Lead 360 campaign launches and marketing activities in the market.
Skills, Knowledge & Expertise
2+ years of experience in marketing, ideally in ride-hailing, delivery, marketplaces or other two-sided platforms.
A solid understanding of brand health tracking.
A deep understanding of the Brazilian market, plus strong cross-functional skills to align several teams around one brand vision.
Strong planning skills, the ability to adapt quickly to changing market conditions, and confidence in making decisions.
English B2+
Why join us
Help us challenge injustice by creating fair choices for millions of people across 47 countries.
Develop your professional skills with access to mentoring, career consulting, and learning programs.
Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program.
Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects.
Work alongside people who take initiative, speak openly, and challenge themselves to grow.
Improve your language skills through co-financed courses and internal speaking clubs.
Final benefits may vary depending on the location.
Location: Almaty, Kazakhstan
Workplace: hybrid
We are looking for a Research Specialist to help shape marketing and product decisions across 47 countries through customer research and data-driven insights. You will partner with teams across the business to explore customer needs and business questions, independently manage research projects from defining the approach to presenting findings, and combine quantitative and qualitative data to uncover meaningful patterns and opportunities. The role involves working with both research agencies and in-house tools, as well as contributing to ongoing research initiatives across different business areas.
Key Responsibilities
Informational and research support of marketing and product initiatives and decisions. Helping to solve business tasks connected with understanding clients.
Participating in activities concerning supporting current tracking studies (BHT, CHURN) for several verticals (delivery, finance).
Conducting ad-hoc full cycle research projects (from setting tasks together with the internal client and choosing methodology to results presentation and feedback implementation. Carrying out researches with the aid of both DIY tools and research agencies including:
Filling in on updating briefs, defining the methodology and research design, briefing the agency, controlling tools quality, project flow and reporting. Providing analytical, data based insights and recommendations for the defined business task, presenting the results to the team or organizing of the presentation
When using DIY, creating the tools, analytics and reporting (analytical note or full report)
Keeping the research repository updated with the latest projects timely
Analyzing available data (both qual and quant), identifying connections, looking for insights, trends, answering questions and tasks based on previous research data and external data available.
Skills, Knowledge & Expertise
Higher education in Sociology, Statistics, Marketing, Economics, or a related field.
2+ years of relevant experience in a research agency and/or on the client side.
Hands-on experience in quantitative research projects, with a good understanding of both quantitative and qualitative research methods.
Strong proficiency in Excel / Google Sheets and PowerPoint / Google Slides.
Strong analytical, communication, and presentation skills, with the ability to turn research findings into clear and actionable insights.
Advanced English (C1), both written and spoken.
Nice to have
Experience with SPSS, R, and/or Python.
Familiarity with AI tools for research, data analysis, and process automation.
Spanish language skills.
Why join us
Help us challenge injustice by creating fair choices for millions of people across 47 countries.
Develop your professional skills with access to mentoring, career consulting, and learning programs.
Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program.
Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects.
Work alongside people who take initiative, speak openly, and challenge themselves to grow.
Improve your language skills through co-financed courses and internal speaking clubs.
Final benefits may vary depending on the location.
Location: 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: 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: 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: 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: Jakarta, Indonesia
Workplace: hybrid
inDrive's Forecasting product turns large-scale marketplace data into daily and monthly forecasts of the company's core supply, demand and financial metrics. These forecasts are the backbone of target setting, financial planning and scenario analysis for business teams and leadership.
We are looking for a Senior Analyst to own this product: the quality and credibility of the numbers, the planning processes they feed, and the story behind every deviation. You will take over a working production solution (Python, BigQuery) and keep it reliably serving the business — but the core of the role is not modeling for its own sake. It is understanding how the business works: how pricing, incentives, marketing and market events move metrics, how those metrics connect to each other, and what decision-makers need from a forecast to plan with confidence.
Key Responsibilities
Business & planning
Own the forecast as a decision-making product: track plan vs actual, decompose variances into business drivers (seasonality, pricing, incentives, marketing, external events), and explain in business terms why the numbers changed
Support company planning cycles: provide forecast baselines for target setting and budgeting, and align assumptions with finance and business stakeholders
Build and run scenario ("what-if") analysis for planned interventions: pricing changes, incentive and marketing spend, product launches, market expansion
Maintain the dependency logic connecting supply, demand and financial metrics, so that forecasts stay mutually consistent and aggregate correctly across markets
Translate ambiguous business questions into measurable forecasting problems; communicate assumptions, uncertainty and limitations clearly to both business and technical audiences
Forecast production
Run and monitor recurring daily and monthly forecasts: data completeness, sanity checks, run-over-run drift
Investigate anomalies end to end — from inputs and business transformations to forecast outputs — getting to the business reason, not just a technical fix
Improve models pragmatically: baselines, honest validation, and model choices driven by measurable planning value rather than sophistication.
Keep the solution maintainable: readable Python, documentation, versioned changes
Skills, Knowledge and Expertise
4+ years in analytics, forecasting or planning roles — for example marketplace or product analytics, demand planning, or decision science
Strong understanding of how a business is planned: plan/fact cycles, target setting, driver-based models, unit economics. You see business metrics as a connected system, not as isolated time series
Practical command of time-series forecasting — seasonality, holidays, external regressors, structural breaks, missing data — enough to own and improve production models
Confident Python (pandas ecosystem): able to maintain and extend an existing production codebase
Advanced SQL and experience with large datasets in a cloud data warehouse
Rigorous validation habits: appropriate baselines, no data leakage, error metrics tied to business impact
Ownership mindset: comfortable investigating issues across data, model, and integration boundaries
Professional working proficiency in English and the ability to defend a number in front of senior stakeholders
Nice to have:
Background in mobility, marketplaces or other supply-and-demand systems
Experience supporting financial planning, S&OP or budgeting processes
Econometrics and causal inference; marketing-response models (adstock, saturation, investment payback)
Hierarchical forecasting across multiple markets
Experience owning or supporting production batch pipelines; BigQuery, Git-based workflows, CI/CD
Technology environment
Python (pandas, NumPy, scikit-learn, Prophet), BigQuery, Databricks, Git and GitHub Actions. This is an analyst role in an engineering-friendly environment: you should be at home in this stack, but deep ML engineering is not the core of the job.
Why join us
Help us challenge injustice by creating fair choices for millions of people across 48 countries
Develop your professional skills with access to mentoring, career consulting, and learning programs
Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program
Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects
Work alongside people who take initiative, speak openly, and challenge themselves to grow
Improve your language skills through co-financed courses and internal speaking clubs
Final benefits may vary depending on the location.
Location: Limassol, Cyprus
Workplace: hybrid
inDrive's Forecasting product turns large-scale marketplace data into daily and monthly forecasts of the company's core supply, demand and financial metrics. These forecasts are the backbone of target setting, financial planning and scenario analysis for business teams and leadership.
We are looking for a Senior Analyst to own this product: the quality and credibility of the numbers, the planning processes they feed, and the story behind every deviation. You will take over a working production solution (Python, BigQuery) and keep it reliably serving the business — but the core of the role is not modeling for its own sake. It is understanding how the business works: how pricing, incentives, marketing and market events move metrics, how those metrics connect to each other, and what decision-makers need from a forecast to plan with confidence.
Key Responsibilities
Business & planning
Own the forecast as a decision-making product: track plan vs actual, decompose variances into business drivers (seasonality, pricing, incentives, marketing, external events), and explain in business terms why the numbers changed
Support company planning cycles: provide forecast baselines for target setting and budgeting, and align assumptions with finance and business stakeholders
Build and run scenario ("what-if") analysis for planned interventions: pricing changes, incentive and marketing spend, product launches, market expansion
Maintain the dependency logic connecting supply, demand and financial metrics, so that forecasts stay mutually consistent and aggregate correctly across markets
Translate ambiguous business questions into measurable forecasting problems; communicate assumptions, uncertainty and limitations clearly to both business and technical audiences
Forecast production
Run and monitor recurring daily and monthly forecasts: data completeness, sanity checks, run-over-run drift
Investigate anomalies end to end — from inputs and business transformations to forecast outputs — getting to the business reason, not just a technical fix
Improve models pragmatically: baselines, honest validation, and model choices driven by measurable planning value rather than sophistication.
Keep the solution maintainable: readable Python, documentation, versioned changes
Skills, Knowledge and Expertise
4+ years in analytics, forecasting or planning roles — for example marketplace or product analytics, demand planning, or decision science
Strong understanding of how a business is planned: plan/fact cycles, target setting, driver-based models, unit economics. You see business metrics as a connected system, not as isolated time series
Practical command of time-series forecasting — seasonality, holidays, external regressors, structural breaks, missing data — enough to own and improve production models
Confident Python (pandas ecosystem): able to maintain and extend an existing production codebase
Advanced SQL and experience with large datasets in a cloud data warehouse
Rigorous validation habits: appropriate baselines, no data leakage, error metrics tied to business impact
Ownership mindset: comfortable investigating issues across data, model, and integration boundaries
Professional working proficiency in English and the ability to defend a number in front of senior stakeholders
Nice to have:
Background in mobility, marketplaces or other supply-and-demand systems
Experience supporting financial planning, S&OP or budgeting processes
Econometrics and causal inference; marketing-response models (adstock, saturation, investment payback)
Hierarchical forecasting across multiple markets
Experience owning or supporting production batch pipelines; BigQuery, Git-based workflows, CI/CD
Technology environment
Python (pandas, NumPy, scikit-learn, Prophet), BigQuery, Databricks, Git and GitHub Actions. This is an analyst role in an engineering-friendly environment: you should be at home in this stack, but deep ML engineering is not the core of the job.
Why join us
Help us challenge injustice by creating fair choices for millions of people across 48 countries
Develop your professional skills with access to mentoring, career consulting, and learning programs
Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program
Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects
Work alongside people who take initiative, speak openly, and challenge themselves to grow
Improve your language skills through co-financed courses and internal speaking clubs
Annual salary from EUR 70 700 gross
Final benefits may vary depending on the location.
Location: Almaty, Kazakhstan
Workplace: hybrid
Our AI Customer Support and Safety team is working on many areas including Computer Vision, NLP, RL etc, bringing business value to our products and improving the lives of our customers. Now we are aiming to strengthen several streams and looking for an experienced middle
Machine Learning Engineer
, who will help us in our journey. The primary focus for this position will be automation of the driver verification process, for which experience in
computer vision
is essential.
Key Responsibilities
Develop, deploy, and maintain machine learning models and systems
Conduct in-depth data analysis, preparation, and processing
Contribute to the design of ML systems, focusing on data-related aspects like annotation and processing
Follow established security guidelines and identify potential risks
Collaborate with peers to review and ensure designs are effective, flexible, and reusable
Solve issues and provide feedback for engineering design and delivery processes
Ensure that features are deployed according to requirements and operate without unintended side effects
Create and maintain comprehensive documentation for models and processes
Monitor and support deployed solutions to ensure they meet performance expectations
Actively seek out information and internal solutions to ensure reusability and adoption of common technologies
Our expectations
3+ years of experience in the Field. Previous software engineering experience is preferrable
Strong proficiency in Python and its common data processing frameworks (e.g., for streaming, batch, and asynchronous data).
Strong foundational knowledge in classical machine learning, deep learning, and advanced mathematics.
Familiarity with MLOps principles and experience using MLOps tools for managing the ML model lifecycle.
Experience with backend systems and infrastructure, and a willingness to learn new technologies (like Golang) for integration purposes.
The ability to design solutions using common design patterns and various design tools.
Experience in experiment design and the ability to validate the credibility of information from various sources.
A solid understanding of the business value of delivered features.
Strong problem-solving skills, with an emphasis on using technical facts and reasoning.
Excellent communication and collaboration skills, including active listening and the ability to build consensus.
A strong drive for continuous self-development and a collaborative mindset for contributing to communities.
Ability to balance quality and speed depending on the case, and justify your decision
Ability to explain the background and consequences of your technical decisions to non-technical stakeholders, including product and business managers
English communication skills
Why join us
Help us challenge injustice by creating fair choices for millions of people across 47 countries.
Develop your professional skills with access to mentoring, career consulting, and learning programs.
Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program.
Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects.
Work alongside people who take initiative, speak openly, and challenge themselves to grow.
Improve your language skills through co-financed courses and internal speaking clubs.
Final benefits may vary depending on the location.
Location: Mexico City, Mexico
Workplace: onsite
The Quality Assurance Group Lead combines advanced quality assurance expertise with people management, mentoring, and quality control — ensuring the consistency, accuracy, and effectiveness of quality evaluations within an assigned region, workflow, or operational scope. This role sits between QA Specialist and QA Manager, leading a team of 5–7 QA Specialists within inDrive's CS Operational Excellence department, and reports directly to the QA Manager.
Key Responsibilities
Lead a team of 5–7 QA Specialists within the assigned scope
Distribute and prioritize workload across the team
Coach, mentor, and develop QA Specialist competencies
Monitor individual and team performance against quality KPIs
Conduct regular 1:1s, team meetings, and performance reviews
Conduct quality audits and second-level reviews of QA Specialist evaluations
Ensure consistent application of quality governance frameworks and evaluation standards
Act as the escalation point for complex quality-related questions and methodology disputes
Lead calibration sessions to align monitoring results across the team
Resolve disagreements related to monitoring results or evaluation methodology
Identify trends, recurring mistakes, and systemic quality issues within the assigned scope
Prepare quality insights, summaries, and action plans for stakeholders
Support the implementation of new QA methodologies, monitoring scenarios, and process updates
Participate in QA automation and process-improvement initiatives
Provide data-driven recommendations to QA management based on monitoring results
Skills, Knowledge & Expertise
3+ years of experience in Customer Support, Quality Assurance, or Operational Excellence
Proven experience in quality monitoring, evaluations, and calibration processes
Experience coaching, mentoring, or formally coordinating the work of others
Experience working in multi-team or multi-vendor (BPO) environments — preferred
Strong knowledge of quality frameworks, monitoring methodologies, and calibration standards
Excellent analytical skills with the ability to identify trends and systemic patterns
Strong written and verbal communication skills; ability to present findings clearly
Demonstrated ability to collaborate across functions and levels of the organization
Proficiency with QA platforms, dashboards, reporting tools, and performance analytics systems
Ability to manage competing priorities and work effectively in a fast-paced environment
Bilingual proficiency in Spanish and English (spoken and written)
Why join us
Help us challenge injustice by creating fair choices for millions of people across 47 countries.
Develop your professional skills with access to mentoring, career consulting, and learning programs.
Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program.
Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects.
Work alongside people who take initiative, speak openly, and challenge themselves to grow.
Improve your language skills through co-financed courses and internal speaking clubs.
Final benefits may vary depending on the location.
Location: Almaty, Kazakhstan
Workplace: hybrid
inDrive's Forecasting product turns large-scale marketplace data into daily and monthly forecasts of the company's core supply, demand and financial metrics. These forecasts are the backbone of target setting, financial planning and scenario analysis for business teams and leadership.
We are looking for a Senior Analyst to own this product: the quality and credibility of the numbers, the planning processes they feed, and the story behind every deviation. You will take over a working production solution (Python, BigQuery) and keep it reliably serving the business — but the core of the role is not modeling for its own sake. It is understanding how the business works: how pricing, incentives, marketing and market events move metrics, how those metrics connect to each other, and what decision-makers need from a forecast to plan with confidence.
Key Responsibilities
Business & planning
Own the forecast as a decision-making product: track plan vs actual, decompose variances into business drivers (seasonality, pricing, incentives, marketing, external events), and explain in business terms why the numbers changed
Support company planning cycles: provide forecast baselines for target setting and budgeting, and align assumptions with finance and business stakeholders
Build and run scenario ("what-if") analysis for planned interventions: pricing changes, incentive and marketing spend, product launches, market expansion
Maintain the dependency logic connecting supply, demand and financial metrics, so that forecasts stay mutually consistent and aggregate correctly across markets
Translate ambiguous business questions into measurable forecasting problems; communicate assumptions, uncertainty and limitations clearly to both business and technical audiences
Forecast production
Run and monitor recurring daily and monthly forecasts: data completeness, sanity checks, run-over-run drift
Investigate anomalies end to end — from inputs and business transformations to forecast outputs — getting to the business reason, not just a technical fix
Improve models pragmatically: baselines, honest validation, and model choices driven by measurable planning value rather than sophistication.
Keep the solution maintainable: readable Python, documentation, versioned changes
Skills, Knowledge and Expertise
4+ years in analytics, forecasting or planning roles — for example marketplace or product analytics, demand planning, or decision science
Strong understanding of how a business is planned: plan/fact cycles, target setting, driver-based models, unit economics. You see business metrics as a connected system, not as isolated time series
Practical command of time-series forecasting — seasonality, holidays, external regressors, structural breaks, missing data — enough to own and improve production models
Confident Python (pandas ecosystem): able to maintain and extend an existing production codebase
Advanced SQL and experience with large datasets in a cloud data warehouse
Rigorous validation habits: appropriate baselines, no data leakage, error metrics tied to business impact
Ownership mindset: comfortable investigating issues across data, model, and integration boundaries
Professional working proficiency in English and the ability to defend a number in front of senior stakeholders
Nice to have:
Background in mobility, marketplaces or other supply-and-demand systems
Experience supporting financial planning, S&OP or budgeting processes
Econometrics and causal inference; marketing-response models (adstock, saturation, investment payback)
Hierarchical forecasting across multiple markets
Experience owning or supporting production batch pipelines; BigQuery, Git-based workflows, CI/CD
Technology environment
Python (pandas, NumPy, scikit-learn, Prophet), BigQuery, Databricks, Git and GitHub Actions. This is an analyst role in an engineering-friendly environment: you should be at home in this stack, but deep ML engineering is not the core of the job.
Why join us
Help us challenge injustice by creating fair choices for millions of people across 47 countries.
Develop your professional skills with access to mentoring, career consulting, and learning programs.
Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program.
Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects.
Work alongside people who take initiative, speak openly, and challenge themselves to grow.
Improve your language skills through co-financed courses and internal speaking clubs.
Final benefits may vary depending on the location.
Location: Almaty, Kazakhstan
Workplace: hybrid
We are seeking a
Social Media Specialist
to own inVision U's social media presence across all platforms, translating the university's academic programs, culture, and events into compelling content that resonates with prospective students, parents, and the broader education community. The role combines editorial thinking with hands-on SMM execution, creative production coordination, and PR support, and is critical to building the university's digital brand ahead of and following the first cohort launch.
Key Responsibilities
1. Content Strategy & Editorial Execution
Develop and maintain the content plan across Instagram, Telegram, TikTok, and YouTube.
Translate complex information about academic programs, pedagogy, and university life into engaging social formats.
Ensure all content aligns with the university's tone of voice, USPs, and messaging guidelines.
2. Social Media Management
Create, schedule, and publish posts; manage event calendars and announcements (internal digests, RSVP events, pre-launch campaigns).
Build funnels, UGC campaigns, and news hooks.
Produce template-level visual content in Figma.
3. Creative Production Coordination
Act as creative producer for outsourced video content.
Define formats, draft scenarios (with the copywriter), brief production teams, and manage approvals.
Maintain the media bank (photos, videos, assets).
4. PR Coordination
Coordinate collaborative posts, influencer partnerships, and media activities.
Liaise with the inDrive PR team on joint tasks.
Define briefs and quality-control external outputs for tone and messaging consistency.
5. Student Content Coordination
Manage student contributors who help produce content.
Assign tasks, review outputs, and maintain quality standards.
6. Analytics & Reporting
Track content performance using analytics tools (Looker Studio, native platform analytics, or equivalent).
Analyze engagement data, identify high-performing formats, and adjust content strategy accordingly.
Skills, Knowledge and Expertise
Requirements
Bachelor's degree in Marketing, Communications, Journalism, Digital Media, or a related field; relevant digital marketing/SMM certifications are a plus.
2–4 years of experience in social media management, content marketing, or digital communications; experience in education, EdTech, or mission-driven organizations is a plus.
Experience coordinating freelancers, student teams, or external contractors is preferred.
Expertise in social media platforms (Instagram, Telegram, TikTok, YouTube); content planning and editorial calendar management.
Basic design skills (Figma, Canva); experience briefing and coordinating video production.
Familiarity with analytics tools (Looker Studio, Google Analytics, or native platform insights).
Copywriting and storytelling skills in Russian and English.
Familiarity with funnel building, UGC strategies, and news hooks; media bank and asset management experience.
Strong editorial judgment and ability to work with complex information.
Ownership mentality and self-organization.
Clear written and verbal communication in Russian and English (Kazakh is a plus).
Coordination skills across multiple stakeholders (production teams, PR, students, copywriter).
Attention to detail and quality standards; proactive problem-solving.
Cultural sensitivity and understanding of the Central Asian youth audience.
Nice to Have
Understanding of content marketing principles and social media algorithms.
Knowledge of the Central Asian digital media landscape.
Familiarity with higher education or EdTech sector communications.
Awareness of current trends in short-form video, Telegram channel management, and youth-oriented content formats.
Location: Lima, Peru
Workplace: hybrid
We are looking for a data-driven
Senior Product Marketing Manager
to own the strategy, execution, and continuous optimization of our customer lifecycle and product engagement initiatives.
Key Responsibilities
Campaign Preparation and Execution: Independently create, schedule, and execute marketing campaigns (email, push notifications, WhatsApp, in-app messages, banners) across multiple customer segments.
Optimize campaigns for delivery across time zones, devices, and customer preferences.
Ensure compliance with legal standards such as GDPR and other regional requirements.
Audience Segmentation: Design and implement custom segmentation strategies based on multidimensional criteria such as behavior, demographics, orders and ride history, and engagement levels.
Maintain dynamic customer segments that update automatically as data changes.
Trigger Campaign Configuration: Build and manage multi-step automated workflows, such as re-engagement, loyalty program adoption, or upselling campaigns, with minimal supervision.
Test and troubleshoot triggers to ensure proper execution and alignment with the customer lifecycle.
Testing and Optimization: Plan, execute, and document A/B and multivariate tests for key campaign elements, including design, timing, and messaging.
Use insights from testing to implement data-driven improvements across campaigns.
Perform regular performance reviews to refine optimization strategies.
Reporting and Analysis: Generate detailed reports on campaign performance, interpreting metrics like open rates, CTRs, conversions, and ROI.
Present data insights to stakeholders and provide actionable recommendations to improve rider and driver engagement.
Collaboration and Mentoring: Collaborate with cross-functional teams (content, design, analytics) to deliver campaigns.
Provide guidance and support to junior CRM specialists, including peer reviews and knowledge sharing.
Skills, Knowledge & Expertise
CRM Platform Proficiency: Independently execute at least five end-to-end campaigns quarterly using advanced CRM platform features (e.g., Bloomreach, Salesforce Marketing Cloud, HubSpot).
Build at least three advanced automations quarterly, such as multi-step workflows with branching logic (e.g., loyalty or churn prevention campaigns).
Complete at least two courses with intermediate certification for Bloomreach or demonstrate equivalent expertise.
Data Analysis and Reporting: Create detailed reports with data visualizations for at least five campaigns quarterly, incorporating metrics like open rates, conversion rates, and ARPPU.
Work with datasets using tools like Excel or Google Sheets with advanced functions (e.g., INDEX/MATCH, QUERY).
Present campaign insights to stakeholders in three formal presentations with actionable recommendations.
Digital Marketing Expertise: Apply intermediate-level knowledge of digital marketing strategies, including personalization, retargeting, and customer journey mapping.
Assist in the strategic planning of at least two multi-channel campaigns integrating email, WhatsApp, in-app, banners, and push notifications.
Advanced Data Handling: Segment audiences dynamically based on real-time data, using at least three different criteria simultaneously.
Ensure data compliance by implementing processes that align with GDPR/CCPA requirements for all campaigns.
English Proficiency: Write comprehensive campaign briefs and reports in English, ensuring accuracy and clarity.
Lead or co-lead three cross-functional meetings in English, presenting updates or insights confidently.
Advanced Testing and Optimization: Conduct and analyze A/B tests for at least five campaigns quarterly, including testing subject lines, offers, layouts, and timing.
Implement changes based on test results, achieving measurable improvements in key KPIs (e.g., a 5 statistically significant lift in conversion).
Communication Deliverability: Monitor and resolve deliverability issues for campaigns.
Use tools like Postmaster Tools or delivery reports to troubleshoot spam issues and optimize sender reputation.
Why join us
Help us challenge injustice by creating fair choices for millions of people across 47 countries.
Develop your professional skills with access to mentoring, career consulting, and learning programs.
Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program.
Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects.
Work alongside people who take initiative, speak openly, and challenge themselves to grow.
Improve your language skills through co-financed courses and internal speaking clubs.
Final benefits may vary depending on the location.
Location: Limassol, Cyprus
Workplace: hybrid
You will lead analytics for the
Services
cluster — the set of domains that protect trust, safety, and quality across every interaction on our platform. This is where the integrity of the marketplace is safeguarded and where millions of passengers and drivers experience inDrive as a safe and reliable place to be. Your teams will span five closely connected areas:
Watchdocs
(driver document verification and work with the compliance base),
Trust & Safety
(everything related to trust and safety in rides — incidents and safety features),
Customer Support
(both the product tooling for handling user requests and the automation of that work, plus WFM analytics of support agents' performance),
Customer Experience
(Voice-of-the-Customer feedback and connecting satisfaction metrics such as CSAT/DSAT to business metrics), and
Antifraud
(protecting rides, transactions, ratings, and more from abuse across inDrive).
You will build and manage a team that partners closely with
product, operations, support, and compliance
to turn a large volume of behavioral, operational, and feedback signals into decisions that reduce risk and improve experience at the same time. From detecting and quantifying fraud across rides and transactions, to measuring the real business impact of safety features and support automation, to linking customer-feedback metrics (CSAT/DSAT) with core business outcomes — your work will define how the company balances protection, cost, and user satisfaction.
In this role, you will act as a
strategic partner
to product and business leaders, as well as to Trust & Safety and Compliance stakeholders — shaping the analytics agenda for the Services cluster, defending its strategy in front of senior leadership, and building scalable processes, metrics, and standards that make trust and safety measurable across the whole platform.
Key Responsibilities
Own the
analytics strategy and roadmap
for the Services cluster (Watchdocs, Trust & Safety, Customer Support, CX, Antifraud), align it with company-level priorities, and defend it in front of senior leadership
Build, grow, and develop a
team of 11+
(analysts) — hiring, mentoring, and setting quality standards across the cluster
Lead
Antifraud analytics
: detect and quantify fraudulent behavior across rides, transactions, and ratings; evaluate the effectiveness of anti-fraud rules and models and their trade-off with false positives
Drive
Trust & Safety analytics
: measure incident rates, evaluate the impact of safety features, and help prioritize initiatives that reduce risk for passengers and drivers
Oversee
Customer Support analytics
: assess support tooling and automation effectiveness, contact-rate drivers, resolution quality, and WFM analytics for agent capacity and performance
Lead
CX analytics
: connect Voice-of-the-Customer metrics (CSAT/DSAT) to business outcomes such as retention and revenue, and turn feedback into prioritized product and operational actions
Guide
Watchdocs analytics
: the document-verification funnel, compliance coverage, and the balance between compliance rigor and a smooth driver onboarding experience
Define and
standardize metrics, definitions, and monitoring
across the cluster; ensure data quality in partnership with DWH, DS, and Engineering
Establish best practices in
experimentation (A/B testing), causal inference, forecasting, and effect measurement
across the team
Partner cross-functionally at the
company level
(Product & Tech & Business, DWH, DS, Engineering) and act as a trusted advisor to Head / Director / C-suite stakeholders
Skills, Knowledge and Expertise
6+ years of experience in data or product analytics, preferably in tech, ride-hailing, marketplace, or platform businesses
2+ years of people management, leading teams of 10+ people, including other managers or team leads
Strong expertise in SQL and Python (or R), with a solid foundation in statistics and experimentation (A/B testing, causal inference)
Proven ability to translate large volumes of behavioral, operational, and feedback data into decisions that balance risk, cost, and user experience
Experience partnering with senior stakeholders (Head / Director / C-suite) and forming and defending strategy at the company level
Proficiency in BI tools (Tableau, Looker, Redash, or similar)
Strong communication skills and the ability to present complex findings clearly to both technical and non-technical audiences
English proficiency at B2 or higher for international collaboration
Nice to Have
Hands-on experience in one of the Services domains — Trust & Safety, Antifraud, Customer Support / WFM, CX / Voice-of-the-Customer, or compliance
Experience with fraud / risk modeling, anomaly detection, or safety analytics
Familiarity with text / sentiment analysis for customer-feedback data
Experience scaling analytics across multiple countries and verticals
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 90 700 gross
Final benefits may vary depending on the location.
Location: New Delhi, India
Workplace: hybrid
We’re building a Content Design function from scratch and we need people who want to be a part of that.
We see a Content Designer as a thinker and decision-maker, not as someone who operates at the text level only. Logic, scenarios, and solutions come first — everything else comes after.
Key Responsibilities
Work closely with Product Teams and take ownership of local support updates. Make sure that the right knowledge is there at the right time.
Think scenario first, not just in answer templates or individual edits. Based on that, create clear and usable content: flow descriptions, articles, instructions, etc.
Partner with local Support Teams: deliver knowledge updates, ask for feedback from real life, iterate, and improve.
Help evolve content guidelines and standards.
Skills, Knowledge & Expertise
1+ years of experience in either UX Writing, Content Design, or Knowledge Management.
Basic experience with analyzing support tickets or customer journey mapping (CJM).
Strong written communication skills and attention to detail, which you can demonstrate through your portfolio.
Experience with iterating and improving content based on feedback, research, and data.
Strong cross-functional collaboration 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.
ГибридNew Delhi, India
ГибридBogotá, Colombia
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