Jobs at inDrive

Leads 5–7 QA Specialists within Customer Support Operational Excellence. Responsibilities include workload prioritization, coaching, performance management, quality audits, calibration, methodology governance, dispute resolution, trend analysis, stakeholder reporting, process improvements, QA automation support, and data-driven recommendations.

Leads and develops an infrastructure engineering team responsible for critical production systems. Owns execution, prioritization, reliability, incident response, postmortems, operational readiness, and delivery of infrastructure initiatives. Partners with senior technical leaders and platform teams on architecture, dependencies, and strategy while managing performance, career development, and team execution.

Own geo-search ranking, relevance, and recommendation models from training data through production. Build behavioral-label pipelines, query understanding, cross-script matching, confidence models, offline evaluation, error analysis, and online experiments. Maintain model performance as data and markets change, while balancing ranking quality, multilingual capability, and millisecond-level latency.

Lead advertising sales and strategic account management for InDrive’s Ads platform. Responsibilities include acquiring enterprise brands and agencies, developing video, display, and native campaigns, managing revenue targets, expanding client relationships, collaborating cross-functionally, maintaining CRM and KPI tracking, and delivering campaign performance insights. The role requires strong digital advertising sales experience, knowledge of programmatic and mobile advertising metrics, persuasive communication, and proficiency in English, with Arabic and French preferred. Based in Casablanca with remote work and regular client visits.

Own marketplace performance, pricing effectiveness, revenue optimization, and supply-demand balance across international markets. Analyze marketplace metrics and large datasets, identify performance gaps, optimize pricing and incentives, and drive corrective actions. Partner with Product, Analytics, Finance, and Regional Operations to implement initiatives, evaluate business impact, and improve growth, utilization, margins, and service reliability.

Own ranking, relevance, and recommendation models for geo search, from training data and label pipelines through production serving. Build query understanding, cross-script matching, confidence models, offline evaluation, error analysis, and online A/B testing. Ensure models perform within strict latency requirements and remain reliable as data and cities change. Collaborate cross-functionally to improve search conversion, order conversion, and ranking quality across global markets.

Own the global loyalty product strategy for inDrive drivers, including gamification, rewards, tiered programs, community features, and personalized challenges. Lead roadmap development from strategy through deployment, using research, analytics, retention metrics, and A/B testing to increase engagement, trip frequency, and driver retention while reducing churn. Collaborate with engineering, data science, research, and regional teams to deliver driver-focused initiatives.

Owns strategic execution across the business by translating priorities into initiatives, milestones, KPIs, and accountability. The role monitors portfolio performance, challenges assumptions, resolves cross-functional blockers, drives stalled initiatives, and establishes execution discipline. It also supports senior decision-making through business cases, quantitative and qualitative analysis, and concise management insights.

Manages a 20–25-person driver verification support team, overseeing shifts, workload distribution, queue monitoring, SLA compliance, workforce planning, KPIs, quality assurance, coaching, performance reviews, onboarding, and training. The role identifies process inefficiencies, implements improvement plans, ensures policy compliance, and collaborates with business stakeholders to improve service quality and operational efficiency.

Responds to customer inquiries through phone, email, and chat; resolves issues; processes returns, exchanges, and complaints; documents interactions; updates CRM records; forwards feedback; and communicates inquiry status. Requires professional multilingual communication in English, French, and Arabic, attention to detail, information management skills, and proficiency with computers, office software, and CRM systems.

Leads a team of 20–25 user verification agents, overseeing shifts, workload distribution, SLA compliance, workforce planning, KPI performance, quality assurance, coaching, onboarding, and training. Identifies performance gaps and process inefficiencies, implements improvement plans, ensures policy compliance, and acts as a liaison between frontline operations and business stakeholders. The role is hybrid, Monday through Friday, 9:00 a.m. to 6:00 p.m.

Responds to customer inquiries by phone, email, and chat; resolves issues; processes returns, exchanges, and complaints; documents interactions; updates CRM records; forwards feedback; and communicates inquiry statuses. Requires professional multilingual communication in English, French, and Arabic, strong attention to detail, accurate documentation, comfort handling high information volumes, and proficiency with CRM and basic office software.

Design and deploy deep learning systems for search ranking, personalized recommendations, geospatial search, and pickup-point selection. Translate business goals into ML objectives, lead offline and online evaluation, conduct A/B tests, and partner with engineering on production model serving and latency optimization. Own the production ML lifecycle, including monitoring, drift detection, retraining pipelines, and quality management across international markets.

Owns daily New Cairo office operations, including vendor and supplier management, purchasing, maintenance coordination, workspace standards, employee support, office events, guest reception, expense reporting, and procurement budget monitoring. The role also maintains office documentation, coordinates contractors, supports employee experience initiatives, and identifies cost-saving opportunities while ensuring a welcoming and efficiently run workplace.

Leads global courier supply strategy and marketplace performance across markets. Owns supply-demand balance, courier acquisition and retention, budgets, ROI, forecasting, operating standards, product requirements, and transformation initiatives. Partners with country and cross-functional teams to improve marketplace efficiency, scale supply models, manage investments, and support future products and business growth.

Lead the end-to-end lifecycle of production-grade NLP and machine learning solutions, including research, experimentation, data pipelines, model development, deployment, monitoring, and maintenance. Translate business needs into measurable data science problems, contribute to system architecture, integrate models with backend infrastructure, address model performance issues such as concept drift, automate processes, and mentor team members.

Own analytics for marketplace matching systems, defining metrics, running A/B experiments, applying causal inference, modeling user behavior, and monitoring marketplace efficiency. Translate findings into recommendations for matching and ranking algorithms, partnering with Data Science and Engineering on production improvements. Build dashboards and analytical tools to improve visibility into marketplace health, supply-demand balance, user responses, and matching quality.

Lead the full lifecycle of production-grade NLP and machine learning models, from research and experimentation through deployment, monitoring, and maintenance. Design scalable data and ML pipelines, integrate models with backend infrastructure, address issues such as concept drift, and translate business goals into measurable outcomes. Mentor team members, improve operational efficiency, and communicate technical findings to technical and non-technical stakeholders.

Architect, develop, deploy, and maintain production-grade NLP and machine learning solutions for automating customer support operations. Responsibilities include managing the full model lifecycle, building scalable data and ML pipelines, integrating models with backend infrastructure, monitoring model performance and concept drift, defining metrics, conducting experiments, mentoring team members, and communicating findings to technical and nontechnical stakeholders.

Monitor moderation systems, block users violating service rules, remove inappropriate content, track problematic orders in Google Sheets, compile censorship word lists, and label datasets. The role requires strong French and English communication, confident PC use, and broad cultural awareness.