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DiDi Global

L4 autonomous driving for robotaxi services

Operations Manager

Business OperationsUpdated on Nov 5
Full-timeMelbourne VIC, AustraliaNo salary listedIn-person

About the Job

Requirements

  • A bachelor's degree or above is required; Computer Science, Mathematics, Statistics, Data Science, or Engineering is preferred.
  • Relevant experience in operations strategy, data analysis, or business process improvement, including hands-on experience building workflows using AI, code, or automation platforms.
  • Strong business understanding and analytical thinking, with the ability to translate operational challenges into clear analytical approaches and practical solutions.
  • Practical experience applying AI and building multi-step workflows that connect large language models, data sources, and business tools through automation platforms or code.
  • Proficiency in SQL and working knowledge of Python for data processing, scripting, and API integration, with the ability to independently build, debug, and maintain practical tools.
  • Strong execution and project delivery skills, including taking solutions from requirements gathering and prototyping through rollout and adoption, and measuring their impact on efficiency and business outcomes.
  • Strong communication, collaboration, and knowledge-sharing skills, including helping colleagues adopt AI tools and communicating effectively in English in day-to-day work.

Responsibilities

  • Develop and execute operational strategies through business analysis, opportunity identification, and ongoing performance tracking.
  • Review day-to-day operational processes, identify efficiency bottlenecks, and build workflows using AI, data analysis, and automation tools for applications including data processing, KPI monitoring, anomaly alerts, and report generation.
  • Develop reusable tools, workflows, and operating practices, and support their adoption to strengthen the team’s analytical, execution, and AI capabilities.
  • Collaborate with Operations, Product, Algorithms, and Engineering teams to test, launch, and roll out tools and workflows, continuously improving usability, reliability, and business impact.

Desired Qualifications

  • Reducing manual work, improving analytical efficiency, or delivering better business outcomes through automation is an advantage.

About the Company

DiDi Global

L4 autonomous driving for robotaxi services

DiDi Autonomous Driving integrates Level 4 autonomous driving into DiDi’s shared ride-hailing and logistics networks. It uses a complete hardware–software stack, including its Orca computing platform and Beiyao Beta LiDAR, to power robotaxi services and autonomous trucking via Kargobot; revenue comes from robotaxi fares and logistics services. It works by combining self-driving vehicles and human-driven cars in a hybrid dispatch system within the DiDi app, deploying robotaxi fleets in cities like Shanghai and Guangzhou and partnering with automakers such as GAC Group, Volvo, and a joint venture with GAC Aion to mass-produce autonomous vehicles. Its goal is to scale commercialization of autonomous mobility and freight services through deep platform integration, automaker partnerships, and large-scale operations.

Company size
51-200
Company stage
Series D
Total funding
$1.5B
Headquarters
China
Founded
2012

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