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Location: Rabat, Morocco Workplace: hybrid Please submit your resume in English. Otherwise, your application will be dismissed. We are looking for a strategic, commercially driven Sales Account Manager to lead advertising partnerships across our app ecosystem, within a brand-new business division at InDrive that is scaling rapidly. This is a foundational role in shaping and accelerating our Advertising vertical, helping position InDrive as a powerful and differentiated media platform for brands and agencies. In this role, you will act as a trusted advisor to leading brands and media agencies, designing high-impact, data-driven advertising strategies that deliver measurable business outcomes. You will own the end-to-end advertising lifecycle — from identifying and unlocking new business opportunities and driving proactive outreach, to client acquisition, relationship development, campaign oversight, and post-campaign performance evaluation. You will lead the advertising sales strategy for a portfolio of high-value brand and agency partners, driving adoption of our expanding suite of ad solutions while delivering sustainable revenue growth and long-term strategic value for both clients and the business. You will lead the advertising sales strategy for a portfolio of high-value brand and agency partners, driving adoption of our expanding suite of ad solutions while delivering sustainable revenue growth and long-term strategic value for both clients and the business. Key Responsibilities Leverage strong persuasive and acquisition sales skills to drive inbound and outbound sales activities, acquire new clients for the inDrive Ads platform, and close successful multi-vertical flighted advertising campaigns. Develop and execute multi-format advertising campaign strategies (video, display, and native) that align with brand objectives, drive measurable outcomes, and contribute to exceeding revenue targets. Own and deliver against quarterly and annual revenue targets for your assigned portfolio through strategic account growth and new business acquisition. Build strong, strategic relationships with marketing executives and key decision-makers across partner agencies and client organizations. Leverage persuasive communication and creative problem-solving skills to navigate stakeholder relationships, foster trusted marketing conversations, and convert opportunities into advertising revenue. Serve as a proactive cross-functional partner, collaborating closely with the International Ads team, Product, Marketing, Operations, and in-country teams to ensure seamless execution and delivery. Drive adoption of our evolving ad solutions by clearly articulating differentiated value and positioning InDrive as a strategic media partner. Expand existing client partnerships and onboard new advertisers through innovative engagement strategies, while maintaining accurate CRM and KPI tracking. Lead campaign performance reviews, providing data-driven insights and optimization recommendations to maximize client ROI and long-term investment. Qualifications 6+ years of experience within a digital media or advertising platform (directly or via a vendor/partner), with proven expertise in end-to-end digital advertising sales supporting enterprise-level brands and media agencies. Passion for the online advertising ecosystem, with resilience and the ability to thrive in a multi-region, multi-language, international environment, complemented by excellent listening, communication, and organizational skills. A creative and engaging storytelling approach, leveraging data and insights to quantify opportunities and influence decision-makers. Strong commercial instincts and curiosity for advertising technology and evolving media solutions, combined with a collaborative, ownership-driven mindset and genuine excitement for building and scaling something new. Experience working with key digital advertising performance metrics (CPM, CPC, CPA, ROAS) and a strong understanding of the programmatic and mobile advertising ecosystem. Proficiency in Google Workspace (Sheets, Slides) and CRM systems. Native or fluent English and native-level proficiency in Modern Standard Arabic and/or Moroccan Arabic (Darija) and French is strongly preferred. Availability for a remote work model based in the Casablanca area, with regular visits to clients and partner agencies. Why join us Help us challenge injustice by creating fair choices for millions of people across 47 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Final benefits may vary depending on the location.

Location: Cairo, Egypt Workplace: hybrid We are looking for a Senior Data Engineer to join one of the Data Platform teams that works with the Marketing, Growth, partner, and financial data domains. You will be working with cutting edge cloud technologies (GCP, AWS, BigQuery, Databricks, K8s) and building a large scale data infrastructure for analytics, machine learning, and streaming/CDC data delivery. Key Responsibilities Build and operate batch and streaming ingestion into a layered BigQuery DWH (raw → ODS → data marts) using Airflow, Debezium CDC over Kafka with protobuf, Pub/Sub, and Dataflow Integrate external data sources end-to-end — marketing platforms (GA4, AppsFlyer, TikTok/Meta/Google Ads), payment providers, S3 buckets, and third-party APIs — including schema contracts, backfills, and reconciliation Engineer the data platform itself in Python: custom Airflow operators and connectors in a shared ETL framework, Kafka Connect on Strimzi (K8s), Cloud Functions, and API integrations with external providers Build CI/CD and change-management tooling for BigQuery: GitHub-based test-and-approval flows, SQL migration engines (Liquibase/Flyway/Bytebase), sandbox validation, backup and rollback Own reliability and correctness of pipelines: idempotency, deduplication, late-data handling, backfill and replay, freshness monitoring and alerting; write integration and unit tests Drive data governance and compliance: ITGC-compliant change management for BigQuery, IAM and least-privilege access, PII policy tags and DLP, Unity Catalog on Databricks, column-level lineage (OpenMetadata/Dataplex), and disaster-recovery planning Build internal data tools and platform services for agentic workflows with data — Streamlit apps, Slack bots, LLM-based agents and MCP servers that help teams find and use data Support analysts and business teams with data requests, fostering data-driven decision-making across the company Contribute to system design and architecture with the development team Skills, Knowledge and Expertise Strong practical Python: clean, well-structured, and tested code for services, tooling, and data pipelines Solid software design skills (OOP, modularity, design patterns) — we build platform tools for agentic workflows with data and plan to develop data-related backend services, so well-designed code is highly valued Experience building and operating services in a cloud environment (GCP, AWS or similar): CI/CD, containerization, monitoring and alerting Familiarity with Kubernetes and Terraform — our infrastructure runs on GCP/K8s Hands-on experience with DWH-related tasks (BigQuery or another cloud warehouse) and confident working SQL Clear communication with non-engineering stakeholders — a meaningful share of the work is data requests from analysts and business teams Demonstrated ability to take ownership of technologies or services and proactively contribute ideas to the team Nice to have Advanced SQL: complex queries, window functions, partitioning, clustering, and cost optimization Experience building reliable pipelines around CDC (e.g., Debezium): idempotency, schema evolution, backfills, and reconciliation Analytical data modeling skills: table grain, facts vs dimensions, slowly changing dimensions, and metric definitions Experience with stream processing frameworks such as Flink or Apache Beam/Dataflow Exposure to data governance and audit compliance (ITGC/SOX), Databricks Unity Catalog, or lineage/catalog tooling (OpenMetadata, Dataplex) Interest in building LLM-based agents and AI tooling for data Why join us Help us challenge injustice by creating fair choices for millions of people across 47 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Final benefits may vary depending on the location.

Location: Tbilisi, Georgia Workplace: hybrid We are looking for a Technical Program Manager to own inDrive’s largest cross-team programs end to end. You will work across tens of teams, partner directly with product and engineering leadership, and decide not only how our biggest programs are delivered but which ones we run and in what order. The role sits between product intent and technical reality. You will work with Product Managers to scope, prioritise and phase what we build, and with engineering to decide how it gets built - then own the dependency picture across the entire surface. This is a deeply technical role. You will spend your time in architecture discussions, design reviews and trade-off decisions, not only in status meetings. We are looking for someone who has built software or led engineers, and who can hold their own with staff engineers and architects. You will join the Program Management team inside the Product & Technology PMO, alongside Product & Engineering Excellence and CTO/CPO Operations. Please note that we are looking for a candidate based in Georgia (the country), not the U.S. state Key Responsibilities Coordination of several product teams’ work to ensure delivery of value within expected timelines Working closely with Engineering manager and team members to create products and achieve tangible impact throughout the development lifecycle Managing project schedules, identifying potential issues, and timely informing all key stakeholders Managing priorities, risks, and dependencies Establishing a process for continuous improvement of metrics - performance (delivery and discovery), quality, as well as team engagement and maturity Facilitating project or program-level events Skills, Knowledge and Expertise End-to-End Ownership. Own end-to-end delivery of inDrive’s largest org-wide technical programs, from initiation and scoping through architecture, execution, launch and adoption, against measurable outcomes over multiple quarters Product Partnership. Partner with Product Managers across business verticals and platform to scope programs, challenge and sharpen requirements, agree what is in and out, and turn ambiguous product intent into a program with a defensible shape Prioritisation and Phasing. Drive prioritisation and phasing decisions with Product and Engineering — what ships first, what can wait, what can be split — so that value lands early and the plan survives contact with reality Cross-Surface Dependencies. Identify, map and resolve dependencies across the whole surface, including the ones nobody has noticed yet Technical Depth. Understand technical implementation at the architecture level and contribute to decisions on system design, scalability and reliability Solution Architecture. Own the technical coherence of end-to-end solutions that span multiple services, platforms, vendors and markets, and be accountable for the technical KPIs and SLAs your programs commit to Technical Judgment. Use your engineering background to help teams make sound design decisions, identify gaps in proposed solutions and weigh product-versus-technology trade-offs Portfolio Management. Own a portfolio of programs: sequence them, resolve cross-program dependencies and capacity conflicts, and make the calls on scope, timeline and technical approach Structure in Ambiguity. Create structure where none exists by defining program frameworks, decision points, operating cadences and communication models Systemic Risk. Detect risk visible only from a cross-program vantage point, and intervene to stabilise at-risk programs anywhere in the portfolio Execution at Scale. Identify where the organisation is losing speed, design scalable processes to fix it, and drive adoption across all Prod/Tech teams Executive Partnership. Partner directly with Product/Engineering Directors, VPs, the CTO and CPO on priorities, goals and trade-offs, and own executive communication so decisions are made quickly and with the right information Craft Leadership. Mentor Technical Program Managers and set the craft direction for the program management group 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 We are seeking a Group Lead (Supervisor) it will be responsible for the operational management of a team of users verification agents, ensuring service quality, efficiency, and achievement of key performance metrics. The role combines people management, process control, and data-driven decision-making, while acting as a bridge between frontline operations and business stakeholders. Key Responsibilities Direct management of a team of 20-25 support agents Shift supervision and real-time workload management Task distribution and queue monitoring to ensure SLA compliance Workforce planning: scheduling, vacations, and shift coverage Monitoring and analysis of key KPIs (AHT, SLA productivity, etc.) Regular 1:1 meetings, performance reviews, and feedback sessions Identifying performance gaps and implementing improvement plans Coaching and mentoring team members Quality assurance oversight and calibration with QA teams Ensuring adherence to internal policies, procedures, and compliance standards Identifying process inefficiencies and driving improvements Onboarding and continuous training of agents Development of training materials and knowledge base contributions Supporting skill development and career growth within the team Skills, Knowledge & Expertise Bachelor’s degree in Management, Business, Data Analysis or related field Strong leadership and people management skills Analytical thinking and ability to work with performance metrics Excellent communication and stakeholder management skills Problem-solving and decision-making abilities Advanced user of Google Workspace (Sheets, Docs, Slides) English proficiency: B1 or higher Hybrid work model: two working days followed by two days off, with working hours from 8:00 a.m. to 8:00 p.m. Job Benefits Opportunity for advancement and upward mobility within the organization, allowing for increased levels of responsibility and growth within the company Hybrid work

Location: Mexico City, Mexico Workplace: onsite We are seeking a Group Lead (Supervisor) it will be responsible for the operational management of a team of users verification agents, ensuring service quality, efficiency, and achievement of key performance metrics. The role combines people management, process control, and data-driven decision-making, while acting as a bridge between frontline operations and business stakeholders. Key Responsibilities Direct management of a team of 20-25 support agents Shift supervision and real-time workload management Task distribution and queue monitoring to ensure SLA compliance Workforce planning: scheduling, vacations, and shift coverage Monitoring and analysis of key KPIs (AHT, SLA productivity, etc.) Regular 1:1 meetings, performance reviews, and feedback sessions Identifying performance gaps and implementing improvement plans Coaching and mentoring team members Quality assurance oversight and calibration with QA teams Ensuring adherence to internal policies, procedures, and compliance standards Identifying process inefficiencies and driving improvements Onboarding and continuous training of agents Development of training materials and knowledge base contributions Supporting skill development and career growth within the team Skills, Knowledge & Expertise Bachelor’s degree in Management, Business, Data Analysis or related field Strong leadership and people management skills Analytical thinking and ability to work with performance metrics Excellent communication and stakeholder management skills Problem-solving and decision-making abilities Advanced user of Google Workspace (Sheets, Docs, Slides) English proficiency: B1 or higher Hybrid work model: two working days followed by two days off, with working hours from 8:00 a.m. to 8:00 p.m. Job Benefits Opportunity for advancement and upward mobility within the organization, allowing for increased levels of responsibility and growth within the company Hybrid work

Location: Lima, Peru Workplace: hybrid We are looking for a Senior AdOps Specialist to architect and scale the advertising ecosystem for our global multi-vertical platform. This role is not just about trafficking; it is a growth-focused, technical leadership position designed for a professional who has managed massive scale at "Big 5" holding companies and top-tier publishers. You will bridge the gap between our Real-Time Deal (RTD) marketplace mechanics and a sophisticated Mobility Media Network (RMN), ensuring every ad impression delivers measurable incremental value. Key Responsibilities Enterprise-Scale Campaign Operations End-to-End Orchestration: Lead the launch and pacing of complex, multi-market campaigns across inDrive’s core ride-hailing and urban services verticals. Platform Mastery: Manage high-volume inventory using Google Ad Manager 360 (GAM360), ensuring precision in segmentation, targeting, and delivery. Retail Media Integration: Implement “digital shelf” strategies to optimize both on-site (in-app) and off-site (social/DSP) conversions. Quality Assurance: Establish rigorous "Big 5" agency-standard QA protocols to ensure 100% accuracy in tracking, brand safety, and creative rendering. Technical Implementation & Automation Workflow Engineering: utilize Python, SQL, and Scrapy to automate manual reporting tasks and audit partner revenue-share models for maximum profitability. Stack Management: oversee the integration of mobile monetization tools and coordinate technical needs with engineering teams for custom ad-product launches. Data Architecture: build advanced dashboards in Looker Studio and Redash that translate raw event data into actionable growth insights. Performance & Yield Optimization Strategic Experiments: execute continuous A/B testing on creative assets and landing pages to improve CTR and user behavior metrics across high-budget campaigns. Yield Management: monitor supply-side health, including fill rates, eCPM, and floor pricing, to maximize revenue without compromising the user experience of the inDrive app. Growth Consulting: act as an internal consultant for new product launches, adapting funnel structures for B2B AI startups or retail partners within the inDrive ecosystem. Qualifications 4+ years of experience in digital advertising, working with leading DSPs (The Trade Desk, DV360, Meta, TikTok) or publishers (500k+ DAU). Deep familiarity with marketplace-led advertising and last-mile conversion metrics. Strong business-oriented mindset, with understanding of the full campaign lifecycle, from commercial agreements and IOs through to campaign delivery, reporting, and post-campaign reconciliation. Strong understanding of web and app technologies (JavaScript, Flutter) with hands-on experience in ad tag implementation (GAM, GPT, native ads, HTML5 creatives). Experience with the ad request lifecycle, rendering, and click tracking. Experience debugging and troubleshooting ad delivery issues, including working with network logs, browser developer tools, and proxy tools such as Charles Proxy. Proficiency in Excel/Google Sheets for analysis and reporting. SQL is a plus. Google Ad Manager (GAM360) certification. Nice to have: Experience with mobile ad integrations (Android/iOS) using SDKs (e.g., Google Mobile Ads SDK). Hands-on experience independently implementing ad integrations across both web and in-app environments. 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 We are seeking a Group Lead (Supervisor) it will be responsible for the operational management of a team of users verification agents, ensuring service quality, efficiency, and achievement of key performance metrics. The role combines people management, process control, and data-driven decision-making, while acting as a bridge between frontline operations and business stakeholders. Key Responsibilities Direct management of a team of 20-25 support agents Shift supervision and real-time workload management Task distribution and queue monitoring to ensure SLA compliance Workforce planning: scheduling, vacations, and shift coverage Monitoring and analysis of key KPIs (AHT, SLA productivity, etc.) Regular 1:1 meetings, performance reviews, and feedback sessions Identifying performance gaps and implementing improvement plans Coaching and mentoring team members Quality assurance oversight and calibration with QA teams Ensuring adherence to internal policies, procedures, and compliance standards Identifying process inefficiencies and driving improvements Onboarding and continuous training of agents Development of training materials and knowledge base contributions Supporting skill development and career growth within the team Skills, Knowledge & Expertise Bachelor’s degree in Management, Business, Data Analysis or related field Strong leadership and people management skills Analytical thinking and ability to work with performance metrics Excellent communication and stakeholder management skills Problem-solving and decision-making abilities Advanced user of Google Workspace (Sheets, Docs, Slides) English proficiency: B1 or higher Hybrid work model: two working days followed by two days off, with working hours from 8:00 a.m. to 8:00 p.m. 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 build internal and user-facing tools that support dynamic in-app content experiences powered by business rules and ML-based scoring models. Our work sits at the intersection of product engineering and data, helping personalize the user experience in the mobile app. We are looking for an engineer with a strong mobile background who has solid experience with iOS and Android development and is also confident working with web technologies. This role is primarily focused on the mobile platform, while also involving work on web interfaces, internal tools, and integrations. Key Responsibilities Develop and maintain functionality for the mobile application on iOS and Android Contribute to the development and improvement of web interfaces and internal team tools Deliver end-to-end features in collaboration with backend engineers, designers, and product managers Integrate client applications with backend services, APIs, and personalization systems Improve the performance, stability, and overall quality of mobile and web products Participate in designing client-side architecture and technical solutions Write clean, maintainable, and testable code Take part in code reviews, technical discussions, and help maintain a high engineering standard across the team Diagnose and resolve issues in development, testing, and production environments Skills, Knowledge and Expertise 5+ years of commercial software development experience Strong hands-on experience in mobile application development for iOS and/or Android Good understanding of mobile architecture, application lifecycle, client-side performance, and UX Experience with web technologies and willingness to work on web interfaces as part of the role Solid knowledge of JavaScript/TypeScript Experience with React and modern web frameworks is a plus Experience integrating with REST APIs and/or GraphQL Understanding of testing principles, CI/CD, and client application delivery processes Experience with GitHub, Kubernetes, and build/deployment tools is a plus Strong ownership, responsibility, and ability to quickly learn new technologies and domains Conditions 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. Final benefits may vary depending on the location.

Location: Limassol, Cyprus Workplace: hybrid We are looking for a Senior Product Manager who will drive the end-to-end productization of a dynamic user experience and build scalable growth loops across inDrive’s product portfolio. This person will integrate user behavior insights, partner with ML/DS teams to enable personalization at scale, and ensure a consistent user experience across all stages of the customer journey. Key Responsibilities Lead the end to end productization of a user experience that dynamically orchestrates customer value interventions across acquisition, cross sell, upsell, and retention This role is pivotal to inDrives ambition to build growth loops for the product portfolio Translate customer behavior insights into segmented programmable customer journeys, stitched across product surfaces Own the roadmap for growth hypotheses of activation, engagement and monetisation, as well as the consistency of user experience for existing and new verticals Partner with ML/DS teams to test for future integration of hybrid AI stacks, combining scoring models and embedding based retrieval to drive personalized actions at scale Collaborate closely with marketing, engineering, data science, and business to scale interventions across acquisition, engagement, and monetization loops Identify, size, and prioritize the most impactful opportunities through data analysis, user research, and experimentation Develop clear success metrics, measure performance, and iterate quickly to optimize growth initiatives Champion a global, product first mindset leveraging inDrives ecosystem to create scalable, enduring value for users around the world Skills, Knowledge and Expertise 5+ years of product leadership experience, with a deep focus on consumer apps, personalization infrastructure, or super app lifecycle automation at scale Bachelors degree in Computer Science or similar tech major Experience leading growth initiatives or marketplace products at a tech forward company which scaled to millions of users across diverse geographies or segments Proven success launching new products or features from 0→1 and driving sustained adoption and engagement Proven track record of driving growth through experimentation, data driven insights, and cross functional collaboration Strong analytical, problem solving, and communication skills, with the ability to align diverse stakeholders around a bold vision Deep understanding of experimentation, funnel optimization, and data driven product development in a fast paced, high impact environment Strong ability to influence and collaborate with cross functional teams, from engineering and design to marketing and business, to deliver measurable business outcomes 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: Almaty, Kazakhstan Workplace: hybrid The QA Load team is responsible for the performance and scalability of services across their entire lifecycle — from Go/No-Go decisions before launch to working with real production traffic. We design and execute load tests, model real-world usage scenarios, identify and eliminate bottlenecks in backend systems, databases, messaging, and infrastructure, and work closely with SRE, DevOps, and product engineering teams. The role focuses on systematic performance improvement: building load-testing infrastructure, automation and CI/CD quality gates, performance analysis and experimentation, and translating technical metrics (latency, RPS, p95/p99) into clear business impact. Our goal is to make performance a core aspect of product quality and ensure the stable operation of high-load, geo-distributed systems. Key Responsibilities Performance Audits & Integration Support: Go/No-Go decisions with our stakeholder about launches services before integrating them into our ecosystem and integrations support (audit APIs, web, databases, caches, message brokers) Design&Execute Load Tests global strategy: Modeling of load testing scenarios (load, stress, soak, peak, find max tests), methodology and formation of non-functional requirements for system using k6, JMeter (DSL framework) Simulate real-world scenarios and traffic patterns to validate systems under production-like conditions (including high RPS, concurrency levels, data skew, and geo-distributed load) Load Modeling: Calculate and validate detailed load models – e.g. expected RPS, concurrent users, transaction volumes, and data distribution. Adjust these models to mirror peak and edge-case scenarios, ensuring our capacity planning is grounded in reality. Bottleneck Analysis & Fixes: Find, analyze, and fix performance bottlenecks. This includes: backend issues (CPU hotspots, memory leaks, GC pauses, thread pool exhaustion) DB inefficiencies (Aurora MySQL/RDS indexing, query locks, IOPS limits) messaging/queue back-pressure (Kafka partitioning, consumer lag, throughput limits) network constraints (latency, load balancer settings, timeouts) Work hands-on with SRE, DevOps, and Backend teams to implement optimizations and verify the improvements. Prepare for Production Traffic: Ensure services are production-ready. Drive capacity planning exercises and stress tests to determine scaling lag/limits and failure modes. Verify that services can gracefully handle traffic spikes or component failures without violating SLAs or SLOs. Help partners configure autoscaling policies for sustained performance Loadtesting Infrastructure Setup&Tuning: Set up, audit, and operate performance testing infrastructure for our services load testing automation and geo-distributed load generator to simulate production traffic Performance Analysis & Experimentation: Approach performance issues with an performance analyst/architect mindset – form hypotheses, design experiments, run tests, and draw conclusions to configuration infrastructure and fix backend code. For example, if latency is high, hypothesize the cause (e.g. database index missing), test the hypothesis, and then make a the fix. Repeat this iterative process to methodically improve system performance. Business Impact Translation: Translate technical performance insights into business risks and opportunities. For instance, demonstrate how reducing latency or improving p95 response time can increase conversion rates or GMV. Communicate these insights to both engineers and non-technical stakeholders to underline the business value of performance work. Observability & Monitoring: Utilize observability tools to monitor performance during tests. Set up dashboards and alerts in Grafana/Prometheus and other systems (e.g. New Relic, Dynatrace, Zabbix, ELK Stack, Coroot), analyze traces and logs. Use few methods to interpret results and guide troubleshooting. Performance Tooling: Build internal performance tooling in Golang: Design and maintain internal tools for automation performance testing and analysis Load as a Service for product teams: traffic generators, load managers, mocks, test stubs, data feeders, and helper services used across partner integrations. Building load test scenarios to Jmeter (DSL framework) and k6 in JavaScript. Innovate on tooling to make load tests easier to create, run, and analyze for the whole team. CI/CD Integration: Integrate performance tests into our CI/CD pipeline as QG. Automate load tests run to every new integration or code change is evaluated for performance regressions. Ensure that build pipelines can catch and flag performance drops (e.g. increased response times, higher resource usage) before changes reach production. Reporting&Communication: Prepare executive-ready performance reports for engineering teams and C-level stakeholders. Highlight key metrics (p95/p99 latency, throughput, error rates, saturation signals) and identify primary scalability bottlenecks across services, databases, caches, and messaging systems, and compare results against SLOs and capacity targets. Provide clear root-cause explanations and actionable recommendations, including performance vs cost trade-offs, to support production readiness and Go/No Go decisions. Performance Culture: Champion a culture where performance = product quality. Educate and influence teams to treat performance testing as an integral, continuous part of the development lifecycle rather than a one-time task. Share best practices and success stories, ensuring that performance considerations are baked into design, coding, and testing processes from the start. Conducting production load and traffic validation experiments with full ownership of risk assessment, blast radius control, observability, and rollback procedures. Work with geo-distributed, high-load systems (200k+ RPS) and latency-sensitive mobile flows Set up production-like performance environments in AWS Conducting and modeling load tests in production Performance analytics → hypotheses → experiments → fixes → measurable business impact (latency, conversion, GMV) Skills, Knowledge and Expertise 5+ years in Performance/SRE/Load Testing Strong programming skills in Golang/Kotlin/Java Strong k6 or JMeter DSL - Performance Testing Mastery: Hands-on expertise with modern load testing tools, especially k6 and/or JMeter (and their scripting DSL). Deep understanding of performance best practice – you know when to apply load testing vs stress testing vs soak testing, and how to interpret the results of each. Hands-on experience with AWS infrastructure on for high-load systems: EKS, EC2, Auto Scaling Groups, ALB/NLB, VPC, subnets, routing, security groups Designing and tuning autoscaling strategies for compute (KEDA/Karpenter/Cluster Autoscaler, EC2 scaling policies) Understanding network performance characteristics: latency, cross-AZ traffic, NAT/egress limits, load balancer behavior under high RPS Profiling Golang, Kafka, Redis, DB tuning experience Automation loadtesting and make QG (JVM languages and Go) SRE mindset (RED/USE, SLO, error budgets) 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 hands-on Risks Ops to own and evolve our core Decision-Making System (DMS) and credit processing engine. In this role, you will bridge the gap between risk management, and core engineering, leading a focused team of developers to design, build, and optimize high-throughput, low-latency decisioning engines. You will play a pivotal role in streamlining time-to-market for credit strategy changes, integrating advanced ML scoring models, and replacing legacy software with modern, scalable, in-house microservices architecture. Key Responsibilities Technical Leadership & Ownership: Take full ownership of the end-to-end Decision-Making System (DMS) lifecycle, including system architecture, deployment pipelines, production monitoring, continuous code cleanup, and performance optimization. Cross-Functional Collaboration: Partner closely with Risk Analysts and Data Scientists to translate complex business logic, risk rules, and ML scoring models (application, behavioral, fraud) into production-ready software. Team Leadership & Delivery: Implement core logic of DMS system to suit the needs of InDrive's lending vertical. Code reviews, release management, and performance evaluations while fostering an efficient, agile environment. Process Optimization: Reduce time-to-market for credit strategy updates by modernizing delivery workflows, introducing automated regression/retrospective testing, and eliminating dependencies on legacy release cycles. Architecture & System Integration: Drive the evolution of our high-volume microservices ecosystem (Golang, AWS). Integrate internal and external services (credit bureaus, collection platforms, fraud detection services) via REST APIs and event-driven pipelines. Skills, Knowledge and Expertise Fintech & Credit Decisioning Expertise: 7+ years of total backend engineering experience, with deep domain expertise in financial technology, credit conveyors, loan processing, debt collection systems, or automated decisioning engines. Risk-Ops experience: be familiar with any popular decision-engine (gorules, n8n, camunda, SAS RTDM, FICO Blaze Advisor etc…) Stack: Strong expertise in Golang / Python, and build tools (Gitlab CI), AWS-related experience will be a huge plus. Data Management: Proficiency with relational and non-relational databases (MySQL, AuroraDB, DynamoDB, GBQ). DevOps, CI/CD & Observability: Hands-on experience with modern CI/CD tools (GitLab CI, GitHub Actions), containerization (Docker), and system monitoring tools (Prometheus, Grafana). 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: Manchester, United Kingdom Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. The Company Deliveroo is a multi-award winning, international food business and one of the most successful recent technology companies to come out of the UK.  We are on a mission to transform the way customers eat, just as Airbnb has for travel and Amazon has for e-commerce. Our aim is to bring great food to customers as fast as possible and in less than 30 minutes. Whether you want Pad Thai in the evening, a salad at lunch or forgot some key grocery items, we’ve got it covered. The Team The Small Medium Business (SMB) teams are responsible for Deliveroo’s relationships with thousands of independent restaurant and retail partners that operate on the Deliveroo marketplace in a number of markets across Europe, ensuring that they continue to grow and operate efficiently. The SMB team spans the full life-cycle of partner interactions from initial acquisition, on-boarding, reactive support and proactive account management. The Sales team is the start of our funnel, consisting of inbound and outbound teams for all of Deliveroo’s EU markets (UK, Ireland, France, Italy and Belgium), across the restaurant, grocery and retail verticals. The Role As a Sales Operations Manager you will oversee and develop high-performing operational teams while designing and delivering long-term strategic frameworks to enhance commercial performance. As an Operations Manager, you will work closely with the function leads to ensure the operation is both efficient and high performing. You will strive for excellence by understanding stakeholder requirements and support on delivering operational initiatives that drive performance. Based in Manchester, 3 days a week onsite. Core Responsibilities Operational Leadership Guide daily activities across operational functions, ensuring quality and quantity of sales volume, adherence to performance targets, and seamless cross-team collaboration Championing change and leading on identifying new ways of working in collaboration with other Deliveroo functions to ensure we have the right tools and content to support our agents in delivering the right partner outcomes Coach, mentor, and develop team members, cultivating an inclusive and accountable environment focused on continuous improvement. Strategic Planning Define and translate medium to long-term strategies into actionable business plans that drive commercial objectives—such as revenue growth, profitability, and efficiency. Monitor KPIs and financial metrics, using insights to adjust processes, manage risk, and support strategic decision-making and effective planning processes Collaborate with senior leadership to align commercial strategy with operational capabilities and resource allocation Stakeholder Engagement & Communication Drive transformation and continuous improvement initiatives, integrating new technologies and operational models that support commercial targets. Communicate strategic plans, performance trends, and operational insights to executive teams, commercial partners, and frontline staff What You’ll Be Doing Supporting the day-to-day Contact Centre operations ensuring the teams are set up for success in order to deliver our monthly, quarterly and annual commercial objectives Designing and implementing new strategic initiatives across the centre ensuring cross functional alignment and coaching teams to embed new ways of working. Delivering the operational strategy for the EU hub, ensuring local programs are executed efficiently including but not limited to implementation of product launches, identifying skill gaps, creating and implementing local incentives that drive performance. Championing change and leading on identifying new ways of working in collaboration with other Deliveroo functions to ensure we have the right tools and content to support our agents in acquiring new partners Partnering with the central teams to build robust plans that support driving change in the hub; through better engagement, improved efficiencies or increased capabilities. Acting as a mentor and senior lead to junior Team Leads. Collaborate with Learning and Development to ensure content of training materials and programmes is of maximum value to staff The Candidate This is a fast-paced role which will require an individual that can balance a number of competing priorities whilst remaining focused on core performance indicators. The candidate will be passionate about delivering initiatives that drive performance across the operation and will be someone who is innovative in their approach. The successful candidate will have a keen eye for detail and will be someone who has strong stakeholder management skills. The required skills include: Good organisational skills with the ability to balance multiple priorities in a live operational environment Strong written and verbal communication skills Proven ability to lead and deliver complex plans against deadlines ensuring a clear prioritisation model is implemented Strong eye to detail with proven ability to think outside of the box in order to create long term solutions A self-starter; proactive & always thinking of what the next step needs to be in order to future proof Exceptional stakeholder management, with resilience & maturity to face challenges from senior members of the business & deliver a positive outcome The desired experiences include: Minimum 3 years of experience in function that is focused on driving performance improvements Minimum 5 years in people leadership roles Experience working within Contact Centre environments Experience within high velocity sales management role, able to gain insight from the ear test as well as through data and feedback Why Deliveroo? Our mission is to be the definitive food company. We are transforming the way the world eats by making food more convenient and accessible. We give people the opportunity to eat what they want, when and where they want it. We are a technology-driven company at the forefront of the most rapidly expanding industry in the world. We are still a small team, making a very large impact, seeking to answer some of the most interesting questions out there. We move fast, value autonomy and ownership, and we are always looking for new ideas. Diversity, Equity and Inclusion At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong. We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief. If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience. If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you! Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at careersatdoordash.com/recruitment-scam-awareness .

Prime Intellect is looking for an Applied Researcher to build and evaluate reinforcement-learning agents with external robotics teams.

Location: Remote; New York; Washington, D.C. ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. ABOUT THE ROLE We’re looking for an experienced partnerships leader to own and scale ElevenLabs’ strategic relationships with cloud hyperscalers and Systems Integrators, the companies whose platforms, field teams and delivery capacity sit at the heart of how enterprises buy and deploy voice and customer experience AI. You’ll build and manage co-sell and marketplace programmes with AWS, Microsoft Azure and Google Cloud, and build joint GTM and delivery motions with Regional and Global Systems Integrators. The goal: get ElevenLabs deeply embedded in hyperscaler partner networks and SI practices, so that when enterprises modernize their contact centers or build on cloud infrastructure, ElevenLabs is the natural AI voice layer, and partners have both the incentive and the capacity to sell and deliver it. This is a 0→1 build in a high-leverage category. You’ll design co-sell and SI GTM frameworks, drive pipeline with hyperscaler field teams, structure marketplace and private offer motions, negotiate referral, resell and joint-offering agreements with SIs, and own the revenue and pipeline outcomes that come from these relationships. WHAT SUCCESS LOOKS LIKE (FIRST 6-9 MONTHS) - Partner-sourced and influenced revenue: closed-won ARR attributable to hyperscaler and SI relationships - Hyperscaler marketplace and co-sell presence: listings live, co-sell registrations flowing, and active motions running with hyperscaler field teams - SI practice activation: named SI practice leads, certified practitioners and at least one joint offering or solution play in market - Partner-sourced pipeline: qualified opportunities sourced or co-sold through hyperscaler and SI field teams each quarter - Field activation: measurable engagement with hyperscaler sellers and SI client partners and delivery teams, not just BD or alliance leads, translating to warm intros and joint account planning REQUIREMENTS - 8+ years in technology partnerships, alliances, or GTM roles within SaaS or cloud, with direct experience running hyperscaler partner programmes and SI/GSI partnerships - Hands-on experience with hyperscaler co-sell programmes (AWS ISV Accelerate and ACE, Microsoft AI Cloud Partner Programme, Google Cloud Partner Advantage or equivalent) and marketplace operations (listings, private offers, commit burndown). You know how field co-sell actually works, not just the theory - Working knowledge of the SI ecosystem: relationships with practice leads and client partners at GSIs and RSIs, and an understanding of how SIs build practices, attach services to software ARR, and allocate delivery capacity - A builder mindset: experience creating co-sell and SI motions from 0→1, rather than inheriting a mature programme - Comfortable with technical, API-driven products; able to work with solutions engineers to scope solution architectures and articulate ElevenLabs’ value to technical partner audiences - Experience building enablement, certification or reference architectures that activate partner field and delivery teams at scale - Based in North America - Bonus: background combining 3-4 years in a quota-carrying sales or solutions role with 3-4 years in partnerships or alliances; prior experience at a company that successfully scaled through cloud marketplace and SI channels LOCATION This role is remote-first, so it can be executed from anywhere in North America, with the ability to operate in US Eastern and Pacific timezones. If you prefer, you can work from our offices in New York or San Francisco. #LI-Remote We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.

Location: Barcelona, Spain; Tokyo, Japan; Portland, OR Workplace: onsite About Welocalize  Welocalize, a Welo Global brand, serves localization teams through AI-enabled multilingual content solutions that enable enterprises to operate and scale globally. Welocalize combines AI, automation, and human expertise to support enterprises in more than 300 languages, enabling accurate, culturally aligned, and compliant multilingual content at scale.   Welocalize’s Opal Platform comprises patented technology designed to automate multilingual content and improve workflow performance for enterprises. Opal functions as an agentic system that orchestrates AI, automation, and human expertise to coordinate content workflows across the lifecycle, improving speed, scalability, and operational control for global enterprises. These solutions operate within a secure and compliant environment supported by seven ISO certifications. Welocalize is headquartered in New York with offices worldwide. welocalize.com  ROLE OVERVIEW  Welocalize is looking for a native-level Swahili speaker to join a confidential, large-scale AI and consumer technology programme for a major global technology and communications client.  It's a hands-on, on-site role that combines two things: evaluating a pre-release AI model in your language, and testing how the product actually performs on a client-supplied device — a smartphone and a next-generation smart glass. If you enjoy noticing the detail other people miss, this is work you'll find satisfying.  Welocalize is looking for a native-level Swahili speaker to join a large-scale AI and consumer technology programme.  It's a hands-on, on-site role that combines two things: evaluating a pre-release AI model in your language, and testing how it performs on a real device. You'll be among the first people to see this technology in Swahili, and your judgement shapes how well it works before anyone else uses it.  If you enjoy noticing the detail other people miss, this is work you'll find satisfying.    MAIN RESPONSIBILITIES  Review pre-release AI model output in Swahili and judge it on accuracy, naturalness, appropriateness, and overall quality — would a native speaker really say it this way? This includes fact-checking each response against the source material.

Location: Barcelona, Spain; Tokyo, Japan; Portland, OR Workplace: onsite About Welocalize  Welocalize, a Welo Global brand, serves localization teams through AI-enabled multilingual content solutions that enable enterprises to operate and scale globally. Welocalize combines AI, automation, and human expertise to support enterprises in more than 300 languages, enabling accurate, culturally aligned, and compliant multilingual content at scale.   Welocalize’s Opal Platform comprises patented technology designed to automate multilingual content and improve workflow performance for enterprises. Opal functions as an agentic system that orchestrates AI, automation, and human expertise to coordinate content workflows across the lifecycle, improving speed, scalability, and operational control for global enterprises. These solutions operate within a secure and compliant environment supported by seven ISO certifications. Welocalize is headquartered in New York with offices worldwide. welocalize.com  ROLE OVERVIEW  Welocalize is looking for a native-level Swahili speaker to join a confidential, large-scale AI and consumer technology programme for a major global technology and communications client.  It's a hands-on, on-site role that combines two things: evaluating a pre-release AI model in your language, and testing how the product actually performs on a client-supplied device — a smartphone and a next-generation smart glass. If you enjoy noticing the detail other people miss, this is work you'll find satisfying.  Welocalize is looking for a native-level Swahili speaker to join a large-scale AI and consumer technology programme.  It's a hands-on, on-site role that combines two things: evaluating a pre-release AI model in your language, and testing how it performs on a real device. You'll be among the first people to see this technology in Swahili, and your judgement shapes how well it works before anyone else uses it.  If you enjoy noticing the detail other people miss, this is work you'll find satisfying.    MAIN RESPONSIBILITIES  Review pre-release AI model output in Swahili and judge it on accuracy, naturalness, appropriateness, and overall quality — would a native speaker really say it this way? This includes fact-checking each response against the source material.

Location: Barcelona, Spain; Tokyo, Japan; Portland, OR Workplace: onsite About Welocalize  Welocalize, a Welo Global brand, serves localization teams through AI-enabled multilingual content solutions that enable enterprises to operate and scale globally. Welocalize combines AI, automation, and human expertise to support enterprises in more than 300 languages, enabling accurate, culturally aligned, and compliant multilingual content at scale.   Welocalize’s Opal Platform comprises patented technology designed to automate multilingual content and improve workflow performance for enterprises. Opal functions as an agentic system that orchestrates AI, automation, and human expertise to coordinate content workflows across the lifecycle, improving speed, scalability, and operational control for global enterprises. These solutions operate within a secure and compliant environment supported by seven ISO certifications. Welocalize is headquartered in New York with offices worldwide. welocalize.com  ROLE OVERVIEW  Welocalize is looking for a native-level Swahili speaker to join a confidential, large-scale AI and consumer technology programme for a major global technology and communications client.  It's a hands-on, on-site role that combines two things: evaluating a pre-release AI model in your language, and testing how the product actually performs on a client-supplied device — a smartphone and a next-generation smart glass. If you enjoy noticing the detail other people miss, this is work you'll find satisfying.  Welocalize is looking for a native-level Swahili speaker to join a large-scale AI and consumer technology programme.  It's a hands-on, on-site role that combines two things: evaluating a pre-release AI model in your language, and testing how it performs on a real device. You'll be among the first people to see this technology in Swahili, and your judgement shapes how well it works before anyone else uses it.  If you enjoy noticing the detail other people miss, this is work you'll find satisfying.    MAIN RESPONSIBILITIES  Review pre-release AI model output in Swahili and judge it on accuracy, naturalness, appropriateness, and overall quality — would a native speaker really say it this way? This includes fact-checking each response against the source material.

Location: Barcelona, Spain; Tokyo, Japan; Portland, OR Workplace: onsite About Welocalize  Welocalize, a Welo Global brand, serves localization teams through AI-enabled multilingual content solutions that enable enterprises to operate and scale globally. Welocalize combines AI, automation, and human expertise to support enterprises in more than 300 languages, enabling accurate, culturally aligned, and compliant multilingual content at scale.   Welocalize’s Opal Platform comprises patented technology designed to automate multilingual content and improve workflow performance for enterprises. Opal functions as an agentic system that orchestrates AI, automation, and human expertise to coordinate content workflows across the lifecycle, improving speed, scalability, and operational control for global enterprises. These solutions operate within a secure and compliant environment supported by seven ISO certifications. Welocalize is headquartered in New York with offices worldwide. welocalize.com  ROLE OVERVIEW  Welocalize is looking for a native-level Swahili speaker to join a confidential, large-scale AI and consumer technology programme for a major global technology and communications client.  It's a hands-on, on-site role that combines two things: evaluating a pre-release AI model in your language, and testing how the product actually performs on a client-supplied device — a smartphone and a next-generation smart glass. If you enjoy noticing the detail other people miss, this is work you'll find satisfying.  Welocalize is looking for a native-level Swahili speaker to join a large-scale AI and consumer technology programme.  It's a hands-on, on-site role that combines two things: evaluating a pre-release AI model in your language, and testing how it performs on a real device. You'll be among the first people to see this technology in Swahili, and your judgement shapes how well it works before anyone else uses it.  If you enjoy noticing the detail other people miss, this is work you'll find satisfying.    MAIN RESPONSIBILITIES  Review pre-release AI model output in Swahili and judge it on accuracy, naturalness, appropriateness, and overall quality — would a native speaker really say it this way? This includes fact-checking each response against the source material.