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Location: Limassol, Cyprus Spotware Systems is looking for a hands-on Media Buying Operations Manager for our new direct-to-consumer trading product built on the cTrader ecosystem. You will build, run, and scale the media-buying network and the ad-ops / martech spine - turning testing funnels and cohorts into registered, funded, and actively trading cTrader users. Responsibilities Source, onboard, and manage a network of external performance-pay media-buying units. Set the units' pay schemes (fixed + performance) and allocate them across funnel × geo, deploying onto winning combinations. Scale the network as testing widens, cut underperformers, and own the unit-count ramp against live cost-per-funded-account and conversion-rate signal. Launch the first geos hands-on - run the initial media-buying units yourself, as a buyer, until the external network is stood up. Run QA and anti-fraud on unit output, and reconcile performance-based payouts against verified funded accounts. Be the single point of contact between the in-house team and the external units - give them clear briefs (offer, brand and creative guidelines, tracking setup), collect their performance data, and feed it back into what we test, prioritize, and scale next. Own advertising accounts, tracking pixels, server-side tracking, mobile attribution, and first-party data in-house. Report acquisition performance against CAC, funded-account quality, and net deposit, working with the analyst on the measurement spine. Requirements 5+ years in performance marketing / paid UA, owning budgets and scaling spend to six figures/month against CPA and volume targets. Proven track record building and managing a network of external buyers / buying teams / JV partners - sourcing, perf-pay deals, allocation, anti-fraud, payout reconciliation - not just running own campaigns. High-CPA, conversion-driven vertical experience (iGaming, gambling, forex / CFD, crypto, dating, nutra). Hands-on ownership of the ad-ops / martech stack - ad accounts, pixels, conversion APIs, trackers (Voluum / Keitaro / RedTrack), product analytics (Amplitude / PostHog / Mixpanel), MMP (AppsFlyer / Adjust). Multi-geo acquisition, ideally across emerging markets (Tier 2-3), with localization handled at the unit level. Strong analytical command - reads funnel / cohort data and acts on unit economics (CAC, LTV, payback, net deposit, retention). AI-native by default - runs the network and stack on AI and automation, with minimal manual labor. Soft skills: hands-on operator (not a pure manager), comfortable with ambiguity and autonomy, clear communicator across commercial, creative, and technical counterparts. Conditions Private medical insurance. Relocation support (if applicable), including an entry permit, relocation bonus, flight tickets, and airport pickup. Support with settling into life in Cyprus, including basic guidance on everyday matters, accommodation, banking, and healthcare. A comfortable office environment with fresh fruits every day, treats or pizza on Wednesdays, and snack day on Fridays. Fair remuneration based on your experience, skills, and level of responsibility. Welcome Baby Bonus and Baby Box to celebrate the arrival of a child. Birthday voucher. Partial compensation for sports activities and wellness initiatives. Greek language classes.

Location: Madrid Workplace: Remote ABOUT US Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Our co-founders are Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. WHAT YOU'LL DO - Lead & develop a high-performing sales team - Hire, onboard, and develop AEs across Spain. Coach reps on deal strategy, pipeline management, and execution. Create a culture of accountability, learning, and collaboration. Identify and grow future leaders on your team - Own regional performance - Own your regional number and forecast accuracy, Inspect pipeline quality and help unblock stalled deals. Drive consistent execution of our sales process. Partner with RevOps to ensure clean data and clear insights - Be deeply involved in deals - Join key customer and prospect conversations. Help reps navigate complex buying committees and late-stage deals. Support pricing, negotiation, and close strategy WHAT YOU'LL BRING - 10- 15+ years of experience in an Enterprise customer-facing sales role, identifying and closing large accounts. - People Leadership Experience: 5+ years managing, mentoring, and developing a high performing enterprise sales team. - Enterprise Experience: Experience managing a $1M+ quota, and running end-to-end complex deals. - Strong Communication Skills: Exceptional verbal and written communication abilities. - Analytical Mindset: Ability to analyze market trends, identify opportunities, and make data-driven decisions. EVEN BETTER... - Industry Knowledge: Familiarity with the AI landscape, key players, and emerging trends. - Experience Building GTM Strategies: Building sales teams and sales motions from scratch, or from early stage growth. OUR VALUES - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. WHAT WE OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits through Carrot - Lunch, as well as delicious snacks and coffee to keep you energized  - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. BE YOU, WITH US We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

Location: Tbilisi, Georgia Workplace: hybrid We are looking for a Product Marketing Manager (CRM) to drive growth, frequency, and retention for inDrive.Groceries and Restaurant Delivery. This role sits at the intersection of product, CRM, analytics, and growth. You will own end-to-end go-to-market and CRM strategies that turn food delivery into a habit-forming, high-frequency use case. Your mission is to translate product capabilities, assortment, and offers into clear, timely, and personalized communication — driving both first orders and repeat behavior through scalable lifecycle strategies. Key Responsibilities CRM & lifecycle ownership Design and own CRM strategies across the full lifecycle Drive high-frequency CRM orchestration Lead multi-channel communication: push notifications, in-app banners (home, catalog, checkout, ride context) and WhatsApp / messaging channels Work with Bloomreach: segmentation, dynamic content and personalization, triggered and automated flows Data, events & analytics Own the definition and quality of product & CRM events required for funnel tracking, segmentation and targeting, experimentation and ML use cases Partner with analytics to track conversion to first order, repeat rate, frequency (orders per user), AOV / basket composition, CRM contribution to GMV Drive A/B testing Cross-functional leadership Act as a key connector between Product (Groceries & Food Delivery), Engineering, Analytics & Data Science and Local Marketing teams Support market rollouts across multiple countries: adapt CRM strategies to local behavior and supply, align with local assortment, pricing, and partners Skills, Knowledge & Expertise Experience 4–7+ years in Product Marketing, CRM, Growth, or Lifecycle Marketing Experience in food delivery, groceries, e-commerce, or marketplaces Strong hands-on CRM experience (Bloomreach is a strong plus) Proven track record of driving frequency and retention, not just acquisition Skills Strong analytical mindset (funnels, cohorts, retention, uplift) Experience working with product events and data schemas Ability to simplify complex product logic into clear messaging Experience running experiments and scaling successful mechanics Comfortable working across markets and cross-functional teams Nice to have Experience in high-frequency products (food delivery, quick commerce) Exposure to ML-driven CRM or personalization systems Experience in emerging markets with supply constraints 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: 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: Abu Dhabi, United Arab Emirates Workplace: hybrid At inDrive, a passenger and a driver agree on a price in seconds. What happens next, from the moment the driver accepts the order until the passenger steps out of the car, decides whether that passenger will open inDrive again. We are looking for a Senior Product Manager to own the passenger's ride experience : from driver assignment to a successfully completed trip. You will shape how passengers wait for and meet their driver, how they feel during the ride, and how the trip ends. This role goes beyond screens and flows. Your work will directly affect completed rides, cancellations, passenger trust and retention. Key Responsibilities Own the Ride Experience End-to-End: You will define and evolve the passenger journey after a driver is assigned: waiting for pickup, meeting the driver, the ride itself and the end of the trip. Turn More Matches into Completed Rides: Find and remove the reasons why passengers and drivers cancel after they have agreed on a ride, so that more matched orders end in a successful trip. Make Pickup Predictable: Improve ETA accuracy, driver tracking, pickup point clarity and passenger-driver communication, so that passengers and drivers find each other quickly and without stress. Build Trust and Safety into the Ride: Together with the safety team, develop in-ride features such as trip sharing, route monitoring and emergency tools that help passengers feel safe and in control. Close Every Trip Well: Own the end of the ride: trip summary, payment confirmation, ratings and feedback, and resolving post-trip issues such as disputes or lost items. Experiment and Optimize Continuously: Run A/B tests and iterate on key levers such as waiting rules, notifications, communication tools and cancellation policies. Collaborate Across Domains: Work closely with driver product, safety, maps and geo, payments, customer support and data teams to keep the experience consistent for both sides of the ride. Skills, Knowledge and Expertise 4+ Years in Consumer Marketplaces: Proven track record leading high-scale consumer products, preferably in ride-hailing, delivery, or platforms with offline operational components. Operational & System Understanding: Hands-on grasp of real-world logistics—including ETAs, geolocation, cancellations, and support workflows—alongside two-sided marketplace incentives (passengers vs. drivers). Data & Experimentation Rigor: Skilled in A/B testing, funnel and cohort analysis, and data-driven decision-making under uncertainty to rapidly test bold hypotheses. User-Centric & Safety Mindset: Deep empathy for passenger anxieties during a ride, with the ability to design trust-building UX while treating safety as an absolute product requirement. Cross-Functional Alignment: Proven success collaborating across diverse product teams (Driver Experience, Maps, Safety, Payments, Support) to navigate conflicting priorities and reach consensus. Clear & Strategic Communication: Ability to articulate complex product trade-offs, operational trade-offs, and strategic decisions to both technical teams and executive leadership. Communication: Business-fluent English proficiency (B2/C1+ or equivalent). Why join us Help us challenge injustice by creating fair choices for millions of people across 47 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Final benefits may vary depending on the location.

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

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

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

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

Location: Mexico City, Mexico 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: Lima, Peru 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: 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 Senior Backend Engineer to build and run the services and tooling that ML teams depend on. You will write production-grade Go and Python, own your services from design to on-call, and learn the MLOps stack (Terraform, Kubernetes, Databricks, SageMaker) on the job. You will work with data scientists, ML engineers, and software and data engineers. Key Responsibilities Design, build and run backend services and internal tooling for the ML platform, in Go and Python, and own them in production: delivery, monitoring, on-call. Drive technical research and design for new platform features. Weigh trade-offs and write them down. Build and extend the deployment tooling and SDKs ML teams use to ship models, including serving, autoscaling and data capture. Integrate ML services with the wider backend: sync (HTTP, gRPC) and async (Kafka, RabbitMQ) communication, built for reliability under high load. Support the full ML delivery cycle with data scientists and ML engineers: CI/CD for models and pipelines, monitoring, and model performance metrics. Build observability end to end: metrics, logs, dashboards, tracing, alerting and runbooks. Write infrastructure as code with Terraform and Terragrunt, and ship it through reviewed pull requests. Take part in code and design reviews and help raise the engineering bar. Mentor engineers and hold AI-generated changes to the same review standard as human ones. Skills, Knowledge and Expertise 5+ years of commercial backend engineering, including high-load systems. Strong Go: you know and have used its advanced features in production. Solid Python for data processing (batch, streaming and async) and for service code. Strong SQL: schema design, indexes, query optimisation, and scaling approaches such as replication and partitioning. Experience with Redis or similar key-value stores. Experience with sync and async service communication (HTTP, gRPC, Kafka or RabbitMQ), with a focus on reliability. Docker, CI/CD pipelines, and working Kubernetes knowledge. Experience with AWS/GCP core services (compute, storage, networking, IAM). Understanding of the ML lifecycle: data preparation, model performance metrics, non-functional requirements, and concept drift in production. Familiarity with scikit-learn, PyTorch/TensorFlow. Experience designing and running observability: metrics, logging, dashboards, tracing (Prometheus, Grafana, ELK or similar). Git workflows and code review, comfortable Linux command line, and networking basics (TCP/IP, DNS, VPC, load balancers). Ability to explain a trade-off clearly to a data scientist, a product owner and an on-call engineer. Nice to have: Hands-on experience with MLOps tooling: Databricks (Unity Catalog, Asset Bundles), SageMaker, Kubeflow, MLflow or Airflow. GPU or LLM inference experience (vLLM, Triton, Langfuse). Experience using AI coding agents with full review of generated changes. Experience in emerging markets, or building where there is no playbook yet. Experience with Infrastructure-as-Code (IaC) tools Why join us 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: Pretoria, South Africa Workplace: hybrid We are hiring a Senior Media Manager to lead regional media strategy and execution across Southern and Central Africa, aligning media investments with business objectives and growth targets. The role will own multi-market media budgets, optimize channel performance, and drive measurable business impact across brand and performance campaigns. You will lead agency partnerships, oversee cross-market media governance, and mentor media specialists to ensure strong execution and consistent regional standards. You will also drive media innovation, advanced measurement, and campaign optimization to maximize ROI and commercial outcomes. Key Responsibilities Strategic Leadership & Fiscal Ownership End-to-End Strategic Vision: Formulate and execute the overarching annual media strategy and vision for Southern and Central Africa, aligning media investments directly with regional P&L and long-term business goals. Annual Budgetary Management: Autonomously manage, allocate, and optimize the multi-market media budget, driving financial efficiency, forecasting accuracy, and commercial ROI across all channels. Senior Stakeholder Management: Serve as the primary media authority and trusted advisor to regional executive leadership, translating complex media dynamics into executive business insights. Cross-Regional Governance & Team Mentorship Sub-Saharan Governance: Lead and govern media strategy across Southern Africa while providing strategic direction, quality assurance, and functional oversight for Central Africa markets. Remote Functional Leadership: Provide strong professional mentorship, coaching, and day-to-day strategic guidance to the Central Africa Media Specialist (based remotely), building technical capability and ensuring unified regional standards. Channel Mix, Innovation & Ecosystem Growth Omnichannel Growth Strategy: Architect comprehensive upper-, mid-, and lower-funnel cross-channel strategies (online, offline, performance, and brand) tailored to distinct market maturity levels across Sub-Saharan Africa. Innovation & Advanced Formats: Drive regional innovation roadmaps by piloting emerging media channels, advanced measurement tools, and integrated influencer frameworks. Agency Governance & Commercial Procurement Agency & Partner Management: Lead high-level agency relationships, performance evaluations, fee negotiations, and commercial terms across regional agency partners, platforms, and major media owners. Measurement, Analytics & Business Impact Business-Centric Analytics: Establish advanced measurement frameworks to evaluate media performance against hard business outcomes (sales growth, market share, CAC), turning complex analytics into decisive strategic actions. Full Campaign Lifecycle Autonomy: End-to-end ownership of major regional tentpole campaigns, from initial brief framing and media strategy through execution, continuous optimization, and executive post-campaign debriefs. Skills, Knowledge & Expertise Regional media strategy and multi-market budget management Strong expertise in brand, performance, and omnichannel marketing Media planning, campaign optimization, and ROI measurement Agency management, commercial negotiations, and partner relations Data-driven decision-making, analytics, and business performance measurement Cross-functional leadership, stakeholder management, and team mentorship Media innovation, emerging channels, and influencer marketing Strong understanding of Southern and Central African media landscapes Job Benefits Help us challenge injustice by creating fair choices for millions of people across 47 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Final benefits may vary depending on the location.

Location: Almaty, Kazakhstan Workplace: hybrid We are looking for a Media Manager to join our Marketing team and take ownership of media planning and execution. The role will have a strong focus on upper- and mid-funnel media, developing solutions that build brand awareness, consideration and ultimately contribute to business growth. You will work across both online and offline media channels, identifying the right media mix to effectively reach our audiences. This is a hands-on role for someone who can independently manage the full media process — from translating marketing objectives into media strategies and plans to campaign execution, optimization, performance analysis and recommendations. Key Responsibilities Own end-to-end media planning and buying in line with business and marketing priorities. Develop upper- and mid-funnel media strategies aimed at driving reach, awareness, consideration and business impact. Translate marketing briefs and business objectives into effective cross-channel media plans. Define the optimal media mix across online and offline channels, based on campaign objectives, audience, market specifics and available budget. Independently manage media projects from initial planning through campaign launch, optimization and post-campaign analysis. Coordinate campaign execution with media agencies, platforms, vendors and internal marketing teams. Monitor campaign performance and proactively identify opportunities for optimization. Evaluate both media and business results, turning data into actionable insights and recommendations. Prepare clear campaign reports and presentations, explaining not only what happened, but why it happened and what we should do next. Build and maintain strong relationships with media agencies, publishers, platforms and other external partners. Identify relevant new media formats, channels and innovations and recommend opportunities for testing. Support influencer marketing initiatives and evaluate relevant activation formats as part of the broader media mix. Skills, Knowledge & Expertise 5+ years of experience in media planning, media buying, advertising or a related field. Strong experience with upper- and mid-funnel media campaigns, including brand awareness and consideration objectives. Ability to independently manage the full media planning process, rather than relying entirely on an agency. Strong understanding of both digital and offline media channels, including their role across different stages of the marketing funnel. Ability to select the right channels and formats depending on the marketing objective and target audience. Hands-on experience with media analytics, planning and reporting tools. Strong understanding of media measurement and core and proxy KPIs for different channels and funnel stages. Experience in campaign tracking, optimization and post-campaign analysis. Strong analytical skills and ability to connect media performance with business outcomes. Ability to turn data into insights, hypotheses and concrete recommendations. Understanding of influencer marketing and its role within the broader media ecosystem. Strong presentation and storytelling skills — ability to turn complex information into simple, convincing recommendations. Confidence working with multiple stakeholders and external partners across different markets. Curiosity about advertising trends, emerging platforms, new formats and media innovati 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 As the Sr. Talent Sourcer, you will drive candidate discovery, market intelligence, and pipeline strategy across key business functions. Key Responsibilities Act as the full owner of sourcing and candidate engagement strategies for active vacancies, driving pipeline quality and efficiency from start to finish while ensuring a positive experience for candidates and stakeholders. Own talent insights activities: manage stakeholder expectations anticipate potential hiring risks and build strong partnerships with recruiters, hiring managers, and cross-functional teams. Proactively analyze external labor market data - talent availability, competitor hiring activity, and compensation trends - to keep the company's talent acquisition strategy aligned with market dynamics. Play a key role in building strategic talent mapping in close collaboration with business leaders, recruitment teams, and PnC partners, including identifying hard-to-fill roles, emerging critical skills, key talent sources, and common career paths to priority positions. Actively develop and maintain professional talent networks and continuously improve the internal candidate database to support faster and more effective sourcing. Skills, Knowledge & Expertise 3+ years of talent sourcing, recruitment, or talent intelligence experience, preferably within high-growth, technology, or complex corporate environments. Proven track record of pipeline generation for niche, hard-to-fill, and executive-level positions. Demonstrated history of delivering data-driven market insights directly to senior leadership. Deep expertise in advanced sourcing techniques. Hands-on proficiency with modern ATS, CRM tools, and talent intelligence platforms. Ability to look beyond immediate vacancies to build sustainable, long-term talent pipelines. Strong interpersonal skills with the ability to influence hiring managers, manage expectations, and challenge assumptions using data. Passion for market research, data analysis, and translating conversion rates into actionable business recommendations. Why join us Help us challenge injustice by creating fair choices for millions of people across 47 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Final benefits may vary depending on the location.

Location: Limassol, Cyprus Workplace: hybrid We are looking for a Passenger Incentives Economics Manager to join our Marketplace Efficiency team and own the day-to-day operations of passenger incentives across inDrive markets. You will manage incentive budgets, operate and optimize discount and reward mechanics, analyze their impact on passenger growth and marketplace economics, and work closely with Analytics, Tech, Finance and Marketinh teams to make incentive management increasingly data-driven and automated. This is a hands-on role with a direct impact on the passenger side of the marketplace, offering the opportunity to work across multiple countries and emerging markets and influence how incentives are designed, allocated and scaled. Key Responsibilities Manage the weekly passenger incentives budget across countries and incentive mechanics, ensuring effective budget allocation and pacing. Operate and optimize the portfolio of passenger discounts, rewards and other monetary incentive mechanics based on business objectives and performance. Monitor incentive performance using data and dashboards, analyze uplift, incrementality, CPAR and net revenue impact, and identify opportunities to stop, scale or adjust initiatives. Work with Analytics and Tech to develop and improve tools, models, monitoring and automation for incentive management and budget allocation. Translate business needs into clear requirements and drive their implementation with analysts, engineers and product teams. Prepare regular performance insights and recommendations based on data. Continuously improve operational processes and move incentive management from manual decisions towards automated, algorithm-driven solutions. Skills, Knowledge & Expertise Degree in Economics, Finance, Business, or a closely related field is required. 3+ years of experience in operations, revenue management, growth, strategy, analytics or consulting. Hands-on experience with pricing, incentives, promotions or revenue management — including setting up initiatives, testing them and measuring their impact. Strong analytical skills and experience working with large datasets; advanced Excel skills. Solid understanding of unit economics, incrementality and A/B testing, including the use of control groups to measure the true impact of incentives. Understanding of marketplace dynamics and how passenger-side incentives can affect supply, demand and the driver side of the marketplace. Experience translating business needs into requirements for Product, Analytics or Tech teams and driving initiatives through to delivery. Strong ownership and execution skills, with the ability to structure ambiguous problems and make data-driven decisions. Strong stakeholder management and communication skills. Fluency in English. Would be a plus: Experience working across multiple countries or regions. SQL, Python or experience with BI tools such as Tableau or Power BI. Experience with loyalty, cashback or points-based products. Experience working with ML-driven targeting or recommendation systems. Why join us Help us challenge injustice by creating fair choices for millions of people across 47 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Annual salary starting from 64 700 EUR Gross. Final benefits may vary depending on the location.

Location: Limassol, Cyprus Workplace: hybrid inDrive is seeking a Head of Loyalty Product to own inDrive’s Loyalty product domain end-to-end, reporting to the Director of SuperApp and Growth Businesses Product. The core challenge is to build a loyalty proposition that customers genuinely value and that measurably changes behavior. That means increasing frequency, retention, cross-service engagement, and customer lifetime value while maintaining sustainable economics. This is not a role focused on running a rewards feature or promotional calendar. You’ll own Loyalty as a product domain and lead execution across multiple teams and markets. This happens in a highly cross-functional environment where many of the capabilities required to deliver the Loyalty experience sit outside your direct team. Key Responsibilities Own Loyalty product strategy and roadmap. Define and continuously evolve the product strategy and roadmap for Loyalty across inDrive. Identify where loyalty can create the greatest customer and business value, translate those opportunities into clear product priorities, and own the resulting product outcomes. Build the customer proposition. Design loyalty experiences and mechanics that customers understand, value, and actively engage with. Own the end-to-end customer journey - from discovery and enrollment through earning, benefits, redemption, progress, and ongoing engagement. Drive measurable changes in customer behavior. Build products that improve frequency, retention, engagement, and customer lifetime value. Establish clear hypotheses and success criteria and distinguish incremental behavior from activity that would have happened anyway. Connect product decisions to economics. Partner closely with Business and Analytics to understand the economics behind the product. Make informed trade-offs between customer value, engagement, cost, and long-term impact rather than optimizing individual product metrics in isolation. Build for an ecosystem. Develop loyalty experiences and capabilities that can work across multiple inDrive services, customer journeys, and markets. Balance reusable, scalable product capabilities with meaningful differences in local customer behavior and market economics. Lead experimentation. Build a rigorous experimentation approach around loyalty propositions, rewards, incentives, and customer experiences. Use behavioral data, segmentation, and personalization to continuously improve what value is offered, to whom, and when. Drive cross-functional execution. Work closely with Engineering, Design, Data, Marketing, CRM, and product teams across inDrive. Identify and manage critical dependencies, create alignment around priorities and requirements, and drive the cross-team execution needed to deliver the overall Loyalty product outcome. Build and lead the product team. Build, lead, and develop the Loyalty product team. Set a high bar for product discovery, prioritization, experimentation, execution, and accountability, and create an environment where strong product talent can grow. Build a strong measurement system. Establish the measurement framework for Loyalty together with Analytics, combining experimentation, customer insights, and business performance to determine what should scale, evolve, or stop. Skills, Knowledge and Expertise Loyalty, membership, subscription, or engagement product depth. You’ve built and scaled meaningful consumer loyalty, membership, subscription, rewards, or adjacent engagement products - not simply managed promotional campaigns. Strong consumer product background. You’ve built products in a scaled consumer technology environment such as mobility, delivery, marketplaces, e-commerce, travel, fintech, or another high-frequency digital category. End-to-end product ownership. You’ve owned a meaningful product area from strategy and discovery through execution, experimentation, and measurable customer and business outcomes. Behavior-change mindset. You understand how product mechanics, incentives, benefits, status, rewards, and customer experience influence behavior - and know how to distinguish genuine incremental impact from correlation. Strong commercial judgment. You can move fluently between customer experience and economics, understand unit economics and LTV, and make thoughtful trade-offs between growth, customer value, and cost. Experimentation depth. You have strong experience with controlled experimentation, segmentation, and behavioral data and use evidence to make product investment and prioritization decisions. Cross-product thinking. You’ve worked on products that span multiple customer journeys, business lines, or product teams and can create alignment and drive execution without relying solely on direct organizational authority. Multi-market experience. You’ve built or scaled consumer products across multiple countries or regions and understand how customer behavior, willingness to pay, incentives, and economics can differ across markets. 0-to-1 builder who can also scale. You’re comfortable starting with ambiguity, shaping a proposition, validating it with customers and data, and then turning what works into scalable product capabilities. Product leadership. You’ve led and developed product managers, can set a strong product bar, and are comfortable working with senior stakeholders across Product, Engineering, Business, Finance, Marketing, and other functions. Will be an advantage Experience building loyalty or membership products for a multi-service consumer ecosystem or super app. Experience with paid membership or subscription products. Experience with rewards, cashback, wallet, payments, or incentive systems. Experience with personalization, recommendations, CRM, or lifecycle decisioning. Marketplace or two-sided platform experience. Experience in high-growth emerging markets across LATAM, Central Asia, South Asia, Southeast Asia, or Africa. Experience taking a loyalty or membership proposition from initial launch to multi-market scale. 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 116 500 EUR gross. Final benefits may vary depending on the location.

Location: Almaty, Kazakhstan Workplace: onsite You’ll handle sourcing and engagement for active vacancies, build long-term talent pools, and support research on market trends and talent availability. You’ll also collaborate with recruitment, employer brand, and people & culture teams. This position is a good fit if you enjoy research, structured sourcing, and working in an international, fast-paced environment. Key Responsibilities Manage the sourcing and engagement activities to fill the active vacancies: define the sourcing strategy suitable for a specific search. source relevant candidates through the various sourcing channels. engage and pre-screen the relevant candidates. Participate in building and developing the internal database to make it more efficient in terms of quick and effective reaction to emerging hiring needs. Build and maintain talent networks and pools for the key roles and locations you support, with a focus on long-term growth. Participate in cross-functional projects with the recruitment, employer brand, and other people and culture teams. Participate in the research tasks regarding the talent availability, compensation expectations, market trends, and competitor hiring practices. Skills, Knowledge & Expertise 2+ years of experience as a talent sourcer or a tech recruiter, in-house or in an agency. Working experience with sourcing techniques: Boolean search, X-ray search, and natural language search. Good knowledge of the different resources: LinkedIn, GitHub, Stackoverflow, Twitter, and others. Strong communication skills, both verbal and written. English level - not less than upper-intermediate. Ability to work with a large amount of information and switch between tasks quickly. Curiosity and persistence in solving tasks. 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.