---- What the Candidate Will Do ---- We are a cutting edge payments engineering team empowered to further accelerate the incredible growth of Uber through money-movement innovations. At the core of the magical Uber experience is the seamless and frictionless payment at the end of the ride, food delivery or any Uber offering. Uber Money processes millions of payment transactions per day, 24 hours per day, 7 days a week, all around the globe. On a weekly basis, we pay out over a million driver partners in over 600 cities around the world. Needless to say, we operate at an incredible scale. Creating engineering solutions for our customers and partners is rewarding because we know we make every experience better by providing a world-class Payment Platform experience. ---- Basic Qualifications ---- 3+ years of Experience in Scalable architectures Knowledge in Distributed systems Bachelors degree preferably in Computer science Proficient in programming languages and principles Depth in algorithms and data structures Good communication skills ---- Preferred Qualifications ---- 4 years Experience in software industry working in product functionalities Good collaborative skills Can Independently drive initiatives Has bias for action Pro-active and self-driven

The scaled solutions eng team is seeking for an engineering manager. The team is full-stack and cross-functional. There will be significant, challenging problems in the Backend, Frontend, Data and ML engineering spaces, and the team will have embedded collaborators from Product Management, and Data Science. As part of the team, you will have direct responsibility for vital systems and processes. You will take ownership of key features and initiatives in crafting and building high-quality, scalable systems. Your work will directly impact the lives of Uber s users and operations teams across the globe. ---- What You Will Do ---- Lead, manage and grow a team of customer-focused software engineers Mentor and guide the professional and technical development of engineers on your team, and continuously improve software engineering practices Own the craftsmanship, reliability, and scalability of your solutions Bring a passion to stay on top of industry trends, experiment with and learn new technologies, and participate in internal and external technical communities Encourage innovation, implementation of cutting-edge technologies, outside-of-the-box thinking, teamwork, and self-organization Hire top performing engineering talent and maintaining our commitment to diversity and inclusion Collaborate with and across teams to design, build, and ship great experiences for our customers ---- What You Will Need ---- Bachelor s Degree or equivalent in Computer Science, Engineering, Mathematics or related field AND 5+ years full-time Software Engineering work experience prior to Engineering Management experience AND 2+ years full-time Engineering Management work experience, INCLUDING experience setting roadmap and goals for the engineering team and leading engineering projects from planning through review stages. experience consulting with key partners, maximizing engineering resources, using measurable metrics and/or KPIs, and collating technical artifacts to make key engineering decisions. experience ensuring delivery by allocating engineering talent effectively to achieve engineering deliverables, empowering engineers, and maintaining productivity. experience hiring, team building, performance management, mentorship, and employee development. experience advocating engineering best practices and driving engineering excellence within their team and organization. AND INCLUDES professional industry exposure to and/or experience in one or more of the following areas: Programming language (e.g. C, C++, Java, Python, or Go) ---- Preferred Qualifications ---- Masters Degree or PhD in Computer Science, Engineering, or related field 4+ years of experience as Engineering Manager Exposure to or experience with: Product engineering Scalability engineering Distributed systems Team building: Establishes an inclusive culture and values diverse perspectives. Ability to compose and maintain a team with the appropriate blend of skills, seniority, and diversity that achieves technical team solutions while supporting individual growth. Ability to get and keep commitment from the direct team and partner teams. Expertise supporting and empowering a team to achieve mission and realize vision. Expertise in building trust across teams. Execution Leadership Expertise managing expectations and considering tradeoffs when establishing project plan and timelines. Expertise leveraging diverse input, existing solutions, and available resources to make key decisions and achieve engineering milestones. Expertise in monitoring success through effective use of measurable metrics and KPIs. Track record of delivering results in fast-paced and highly ambiguous environments Expertise conducting thorough reviews and post-mortems, performance management, mentorship, and employee development. Passion for engineering excellence, demonstrated by championing quality, pushing for excellence, and achieving continuous improvement. Expertise in partnering with talent acquisition to drive hiring excellence and obtain quality hiring results. History of developing employees and up-leveling the organization.

Were seeking a visionary leader to spearhead Ubers next wave of supply growth and innovation in India SA. This exceptional opportunity allows you to collaborate with top leaders globally and locally, driving high-impact initiatives. You ll lead high-scale programs aimed at supply acquisition at low cost while incubating bold, innovative programs that fuel our next phase of growth. If you thrive on solving complex challenges and shaping the future of how we acquire retain supply, this is the role for you. Your Impact in Role Strategic Vision Execution: Shape Uber s game plan for India SA by aligning strategy with regional teams while maintaining a hands-on approach to troubleshooting city-level challenges and identifying optimization opportunities. Scaling Process Excellence: Drive large-scale initiatives with a focus on implementing scalable processes and best practices that enhance customer experience and operational efficiency. Stakeholder Leadership: Influence and rally cross-functional business and functional teams toward shared goals, ensuring alignment and measurable impact Project Management Expertise: Lead multiple high-impact, complex projects independently, delivering long-term business results Creative Problem-Solving: Approach challenges with a solution-driven mindset, leveraging innovation to drive efficiency and unlock new opportunities. Strong Communication Influence: Effectively engage with regional and global teams, distilling insights into actionable strategies and driving alignment across stakeholders. Cross-functional collaboration: Work closely with relevant teams to shape program vision and roadmaps, ensuring solutions directly address critical business challenges. The Experience You ll Bring ---- Basic Qualifications ---- At least 7 years of experience in management consulting, operations, strategy, sales, or analytics, with a proven track record of driving impactful business outcomes. Minimum 3 years in a senior leadership role, influencing high-stakes decisions and shaping strategic direction. Proven ability to lead cross-functional initiatives, navigating complexity to deliver measurable results. Experience managing and mentoring teams, including direct leadership of 2-3 managers, fostering high performance and growth. ---- Preferred Qualifications ---- Proven experience in incubating and scaling programs, from conceptualization (0 to 1) to full-scale execution and expansion (1 to 10). Exceptional stakeholder management and communication skills, with the ability to engage, influence, and align senior leadership on strategic initiatives. Strong track record of collaborating with Product and Tech teams, driving tailored solutions that directly impact program success and business outcomes. Demonstrated success in leading high-performing sales teams in fast-paced, high-volume environments, consistently delivering strong results.

Uber is looking to add a Global Reporting Manager to our rapidly growing Global STAT reporting - CoE team! This role, based in Bengaluru , will be responsible for leading statutory reporting, financial compliance, and tax-related reporting processes across multiple global entities over 70+ countries . The Global Reporting Manager will manage a team of reporting professionals, ensuring seamless execution of GAAP to STATS, financial statement preparation, and regulatory compliance across APAC, EMEA, and LATAM regions . This is an exciting opportunity to lead a team, drive process improvements, and contribute to Uber s global finance transformation initiatives . If you thrive in a high-growth, fast-paced, and international environment, we d love to hear from you! What Youll Do As a Global Reporting Manager , you will: Financial Reporting Compliance Oversight Oversee the preparation and review of financial statements in accordance with IFRS, US GAAP, and local GAAP . Ensure the timely and accurate reconciliation and review of general ledgers , leading to high-quality financial reporting Manage the end-to-end statutory reporting process for multiple global entities. Oversee the preparation of flux analysis , ensuring significant variances are identified, explained, and mitigated. Ensure compliance with accounting standards, regulatory requirements, and internal controls across multiple jurisdictions. Participate in key accounting assessment and conclusions with the Technical Accounting / IFRS team. Provide data and oversight for corporate tax return workings , supporting tax teams with necessary financial data. Support the local STAT audits and provide response to key FSLI (Financial Statement Line Item). Project Process Management Oversee the end-to-end global statutory reporting and tax compliance processes, ensuring timely and accurate reporting. Implement automation and process improvement initiatives , leveraging technology to enhance efficiency and accuracy in reporting. Partner with GBS, CoE, and FINTECH teams to enhance statutory reporting processes. Stakeholder Management Strategic Initiatives Act as a key point of contact for regional controllers, auditors, tax teams, and finance leadership to align on reporting strategies and regulatory requirements. Participate in global compliance calls , ensuring alignment with business and tax teams on financial reporting priorities. Collaborate with the FINTECH and Workiva teams to drive automation in reporting and disclosure processes. Represent the team in strategic projects and leadership meetings , advocating for improved statutory reporting recognition globally. Team Leadership People Management Lead, mentor, and develop a team of financial reporting professionals, ensuring they meet key deliverables and career growth objectives. Provide guidance, training, and support to the team on financial reporting, compliance, and audit matters. Foster a high-performance culture by setting clear goals, providing regular feedback, and conducting performance reviews. Collaborate with cross-functional teams, including Finance, Tax, Treasury, and Operations , to ensure accurate financial reporting and compliance. What Youll Need Chartered Accountant (CA), CPA, ACCA, or equivalent qualification preferred. 8-10 years of experience in financial reporting, audit, and compliance in a global organization, with at least 3-4 years in a managerial role . Strong knowledge of IFRS, US GAAP, and local GAAP and experience managing statutory audits for multiple entities . Experience with Oracle R12, Workiva , or other large-scale ERP systems is a plus. Proven ability to lead teams , manage complex projects, and drive process improvements. Excellent stakeholder management skills , with experience working across global finance teams, auditors, and regulators . Strong analytical and problem-solving skills, with a focus on automation and efficiency improvements . High level of attention to detail, time management, and the ability to work under pressure in a fast-paced environment. A growth mindset , with a "can-do" attitude and a passion for driving strategic finance transformation . Preferred Qualifications Experience with Oracle R12, Workiva , or other large-scale ERP systems is a plus.

We are seeking a strong and passionate data engineer with experience in large scale system implementation, with a focus on complex data pipelines. The candidate must be able to design and drive large projects from inception to production. The right person will work with stakeholders, analysts, scientists to gather requirements and translate them into a data engineering roadmap. Must be a great communicator, team player, and a technical powerhouse. ---- What You Will Do ---- Collaborate with engineering/product/analyst teams across tech sites to collectively accomplish OKRs to take Uber forward. Enrich data layers to effectively deal with the next generation of products which are a result of Ubers big bold bets. Design and build data pipelines to schedule & orchestrate a variety of tasks such as extract, cleanse, transform, enrich & load data as per the business needs. ---- What You Will Need ---- Strong SQL skills Strong in Data Warehousing and Data Modelling concepts Hands on experience in Hadoop tech stack: HDFS, Hive, Oozie, Airflow, MapReduce, Spark. Programming languages - Python, Java, Scala etc. Experience in building ETL Data Pipelines Performance Troubleshooting and Tuning Experience with DW (Data Warehouse) or BI (Business Intelligence) or OLAP tools like Anaplan, TM1, Hyperion etc. Experience building high-quality end-to-end data solutions in an agile environment from requirements to production. Strong in Data Warehousing concepts Should be self-motivated and passionate about bringing efficiency into the system through optimizations. Should be able to raise the bar for other engineers by proposing and driving innovative ideas. Experience in mentoring junior team members technically. If need be, Act as a Leader to drive big efforts in collaboration with other engineers or team members

Build Data Products for business use cases - batch & real time Metrics development for the analytical needs Optimizations & improvements focussed on optimal resource utlization, improve SLA and adhere to the data quality standards. Consult and advise the product engineering teams on the data engineering practices. ---- Basic Qualifications ---- Bachelors degree in Computer Science or related technical field or equivalent practical experience Experience coding using general purpose programming language (eg. Java, Python, Go, Javascript, Fusion) Understanding of Data tech stack eg: Spark, Hive ---- Preferred Qualifications ---- Data warehouse experience Expertise in data tech stack: Spark, Hive Scripting and programming skill

Uber is seeking a dynamic Senior Engineering Manager to lead the Business systems team in Uber for Business (U4B). Business systems is a critical component of U4B, powering various products and facilitating millions of transactions across hundreds of thousands of organizations. As an Engineering Manager on the U4B platform team, you will play a key role in leading and empowering a talented team of engineers to build, maintain, and scale this dynamic platform, with a strong focus on growth and trust & security. --- What the Candidate Will Do ---- You would have a range of responsibilities that revolve around leading and managing multiple teams of engineers (including other EM/TLMs) to drive technical excellence and deliver high-quality products and services. Here are some of the key things you would do: You would provide leadership and guidance to engineers/TLs/EMs, fostering a collaborative and inclusive team culture. This involves setting clear expectations, defining goals, and supporting the professional growth and development of your team members. You would play a crucial role in shaping the technical direction and strategy of your domain and aligning it with broader company goals. You would oversee the planning, execution, and delivery of engineering projects. Effective collaboration with stakeholders across different functions, such as product managers, applied/data scientists, operations teams, designers, and other XFN engineering teams is essential. You would communicate effectively to align priorities, manage dependencies, and ensure a smooth flow of information between teams. You would be responsible for hiring, onboarding, and developing top engineering talent. This includes conducting performance evaluations, providing feedback and mentorship, and supporting the career growth of your team members. You would promote and uphold engineering best practices, ensuring high standards of code quality, scalability, and reliability. You would collaborate with stakeholders at various levels of the organization, including senior and executive leadership, to understand business needs, provide technical insights, and contribute to strategic decision-making. You would coach and grow Sr./Staff engineers, as well as other EMs/TLs. ---- Basic Qualifications ---- Minimum 10 years of proven experience in software engineering 3+ years experience of management in building and leading a software engineering team. People management experience, including growing and mentoring engineers at different levels Strong understanding of technical architecture, system design, and problem solving acuity for sophisticated technical challenges ---- Preferred Qualifications ---- Bachelor s or Masters degree or equivalent degree PhD degree in computer science or other relevant fields is a plus You have previously led teams that owned and/or built new product You have managed Staff+ engineers and EMs; and led multiple teams for at least 1+ year Experience working cross-functionally with Product Management, Data Science, and Business partners

Collaborate with architects, platform teams, and cross-functional stakeholders to create scalable and innovative solutions that address critical gaps in monitoring, performance tracing, and system visibility. Develop creative solutions to address undefined challenges and build innovative tools to enhance observability and performance monitoring. Leverage automation, integrate with existing APM solutions (like Dynatrace), and build end-to-end monitoring, alerting, and tracing capabilities across SaaS environments and related integrations. Design and implement synthetic monitoring solutions using homegrown, open-source (e.g., Playwright/Cypress), or commercial frameworks for 3P SaaS applications. Integrate observability solutions with APM tools like Dynatrace, Datadog, or New Relic to unify monitoring. Develop and implement tracing solutions to monitor API performance, latency, and failures across SaaS integrations. Integrate Real User Monitoring (RUM) metrics into central systems for comprehensive analysis. Document clear High-Level Design (HLD) and Low-Level Design (LLD) for a scalable, high-throughput distributed observability framework. Implement the frameworks using clear, concise, readable, and debuggable code. Work cross-functionally, coaching peers, cross-geo teams, and product managers on the frameworks, while finding ways to better simulate user experiences and iterating on the design. ---- Basic Qualifications ---- BS or MS in Computer Science or a related technical field, or equivalent experience. 5+ years of experience in backend Software Engineering in Observability/Analytics space with at least 1 year of experience in frontend technologies implementing UI automations Experience with at least one of the following programming languages: Go, Java, C++, Python. Proficiency with cloud platforms such as AWS, GCP, or Azure. Strong coding and debugging skills. Deep understanding of Data Structures, Algorithms, and Architecture design. Problem solving and collaboration skills ---- Preferred Qualifications ---- Experience in UI automations(Playright/Cypress), API monitoring/tracing, APM tools(Dynatrace/DataDog/New Relic), exposure to Real User Monitoring (RUM) Prior experience in observability for 3P SaaS applications . Familiarity with distributed tracing tools like OpenTelemetry or Jaeger. Familiarity with centralized logging systems (e.g., Splunk, ELK Stack) and analytical systems (Hive/NoSQL etc) Understanding of CI/CD pipelines and secrets management solutions (e.g., Vault). Understands data systems and query languages, including Hive, Cassandra, MySQL, etc. Understands middleware communication/integration platforms and protocols, including REST APIs, SOAP, Apache Camel, Mulesoft, etc.

We are looking for candidates with deep expertise in NLP / GenAI and end-to-end experience launching large scale AI models in production. You will lead Generative AI initiatives by identifying step change opportunities, researching latest techniques, guiding the team in end to end AI development and working with cross-functional stakeholders to deliver AI solutions in production creating significant business value. ---- What the Candidate Will Do ---- Build GenAI powered customer support assistants through prompt engineering 3P LLMs or fine-tuning custom LLMs. Work with stakeholders across engineering, product and data science to understand product requirements, prototype, iterate and launch GenAI assistants in production. Explore novel ideas and innovative solutions that can lead to a step change in our products. ---- Basic Qualifications ---- Masters degree in Computer Science or closely related field. Knowledge of latest ML algorithms such as GenAI, NLP, CV, recommendation systems. Coding chops, clean, elegant, bug-free code in languages like Java, GO Strong desire to learn and grow, while building the best-in-class systems ---- Preferred Qualifications ---- Deep knowledge of NLP theory and an understanding of the latest innovations in Generative AI Contributed to the broader technical community through tech talks, publications, open source projects, or other ways. Have a proven track record working across an organization not just across teams.

About the Role FinTech is a part of the CFO s organisation and responsible for innovating and building the best in class financial products & systems. Our DNA is customer obsession, top-quality products, teamwork and transparency. We leverage industry best practice in financial systems, and apply them to Uber s complex global business operations. We provide systems for compliance, data reliability, audit and ensure timely availability of business critical data. Our group is vital in enabling Uber s strategic and operational excellence . As the Oracle Cloud EDMCS Application Developer, you will partner with FinTech leaders to drive systems analyses and implement systems changes across fintech systems. You will be responsible for overall metrics and business impact of your programs. Your performance is measured by the impact of the projects you launch seamlessly and by your ability to influence and inspire a high-performing cross-functional team that includes Product, Engineering, Tax, Treasury, Accounting, Finance, and Operations. What the Candidate Will Need / Bonus Points ---- What the Candidate Will Do ---- Partner with Reporting, Accounting, Finance, Tax, and other cross-functional stakeholders in the CFO org to understand processes and metadata data flows, then drive business requirements and functional design specifications for long-term sustainable and scalable processes across multiple systems Understand end to end architecture, data flows, and application processes for Metadata requirements Design & Develop integration between EDMCS and other Oracle EPM & Enterprise applications (e.g., FCCS, ARCS, EPBCS, ERP, Warehouse ..). Design and implement data models, hierarchies, and workflows within Oracle EDMCS. Build and maintain integrations between EDMCS and other enterprise applications (ERP, EPM, Data Warehouse). Maintain and optimize metadata structures, ensuring consistency across fintech systems. Develop automation solutions using REST APIs, Groovy scripts, or other relevant tools Coordinate and facilitate user acceptance testing and conduct end-user training for EDMCS modules Communicate effectively with business and team members, managing project timelines and expectations Ensure compliance with regulatory requirements ---- Basic Qualifications ---- Minimum 6+ years of direct experience in developing and implementing master data management solution using Oracle Cloud Enterprise Data Management Cloud Service module (EDMCS) Strong understanding of Master data and Data Governance Hands-on experience with EPMAutomate, REST API, Groovy scripting, and SQL. Knowledge of data integration tools like OCI, Mulesoft, or Data Management in EPM Cloud Strong problem-solving and analytical skills Excellent communication and client management skills ---- Preferred Qualifications ---- In-depth knowledge of Oracle EPM Cloud suite products, including application design, development, testing, and troubleshooting Proficient in EDMCS models, data architecture/integration & data governance 5+ years in Cloud EPM native solution, with at least 2+ years specific to Oracle Enterprise Data management Cloud Services(EDMCS) Hands on experience on Oracle Cloud EDMCS is preferred Proficiency in integrating EDMCS with other systems using EPMAutomate and Oracle data pipelines Oracle FCCS , EPBCS and EPCM experience is a plus Understanding of financial systems and processes, with the ability to analyze business requirements and translate them into effective EDMCS solutions

The tech+ops solution coupled with Uber s strength of building a platform for flexible work will enable enterprises world-wide to accelerate their data, AI and product journeys. While we do this, we look forward to creating flexible earnings opportunities through online tasks for millions of people across the world. Together, our tech, operations expertise and platform for knowledge work are uniquely positioned to be the best-in-class human in the loop solution for the industry. ---- What the Candidate Will Do ---- Build scalable analytical frameworks to support product analytics and experiments for Ubers New business Platform Own new product experimentation including plan creation, roll-out, and monitoring Be an invaluable partner to cross-functional teams such as engineering, product management, various data teams to deploy data quality across critical pipelines and to set up processes to triage data issues Develop and track metrics and reporting functions to measure and monitor risk products on our platform Effectively and proactively communicate insights and drive projects to drive towards team goals Proactively seek out opportunities to build new solutions to tackle Risk and Identity challenges Create and drive data quality standards and frameworks to ensure inclusion into pipeline engineering efforts ---- Basic Qualifications ---- 4+ years of experience (Bachelor) OR 3+ years of experience (Masters) in a data-focused role such as product analytics, business analytics, business operations, or data science Education in Engineering, Computer Science, Math, Economics, Statistics or equivalent experience Experience in modern programming languages (Matlab, Python) or statistical languages (SQL, SAS, R) Past experience with a Product / Tech company serving millions of customers on multiple platforms and countries ---- Preferred Qualifications ---- SQL mastery. Write efficient and complex code in SQL Experience in Python/R and experimentation, A/B testing, and statistical modelling Experience in Payments or Compliance with a Product / Tech company Proven ability to handle and visualise large datasets, explore and utilize raw data feeds Love of data - you just go get the data you need and turn it into an insightful story. A well-organized, structured approach to problem-solving Strong sense of ownership, accountability, and entrepreneurial spirit Great communicator, problem-solver & confident in decision making Independent & autonomous, while still a strong teammate Enthusiastic, self-starting and thrives in changing, agile environments

Uber sends billions of communications every month to Uber users across a variety of channels such as email, SMS, Whatsapp and other surfaces. This role is responsible for building systems and solutions that use explore-exploit ML models to pick a winning creative and message for the user among other optimizations, and do this at scale. We are looking for a dedicated PM to focus efforts in this area and closely collaborate with our Business strategy, Science and Engineering teams to build and deploy optimizations and reporting systems that measure their impact to the business. ---- What the Candidate Will Do ---- Work with our Marketing, Product and Operations teams to understand and define creative and message optimization use cases across multiple channels. Build ranking and decisioning systems for marketing communications to our end users. Build reporting platforms at Uber scale to measure the impact of the optimizations. Understand how our end-users interact with different channels (Push, SMS, Email) Understand Uber s core product (app and web) and the nuances of each channel to make sure our platforms reliably deliver each message on time to ensure delightful and relevant customer experiences. Use data to prioritize high impact initiatives across multiple stakeholders. Drive a cross-functional team of Engineers, Data Scientists and Analysts to set qualitative objectives and quantitative goals and ship quality products. Develop a vision and roadmap, plan deliverables, design, and launch products Clearly communicate plans, insights, data, and results to executives, other product teams, cross-functional teams such as marketing, operations, finance Evangelize the platforms within global organizations including marketing, ops, product Monitor and measure launched products and use data for product refinement ---- Basic Qualifications ---- Bachelors degree in Computer Science, Electrical Engineering with at least 2 years of experience in a Product role building high impact scalable platforms focused on optimization problems in the digital advertising / communications space. A good understanding of ranking and decisioning systems and explore-exploit based ML models used to prioritize creatives and content in marketing communications to end users. Basic understanding of how different communication channels (Email, Push, SMS) work. Strong hypothesis building and problem solving skills. Is comfortable getting their hands dirty with large amounts of data and running independent analysis. Should enjoy and succeed at working with PhD level scientists. Has prior experience prioritizing projects across multiple stakeholders based on business impact, creating product roadmaps, and communicating product vision and results to leadership and stakeholders. Experience with working with cross functional teams such as Engineering, Applied Science and Analysts Demonstrated experience working collaboratively in cross-functional teams Passion for learning new technologies, domains, and challenging the status quo. Grit, drive and a strong feeling of ownership coupled with collaboration. ---- Preferred Qualifications ---- Master s degree in C.S. / Engineering and / or MBA. Basic understanding of technologies like Kafka, Hadoop, or Hive and iOS / Android ecosystem. A good understanding of ranking and decisioning systems and explore-exploit based ML models used to prioritize messages in the Digital Marketing space. A good understanding of creative and content optimization problems, preferably in the Digital Advertising / CRM space. A good understanding of how to create an experimentation framework to solve problems.

As a Senior Cloud Engineer, you will be managing the hardware, software and systems running Uber s Private Cloud Device Lab Infrastructure. This will need you to collaborate with three major stakeholders - DCInfraOps, Device Lab Foundations Team and Internal End users like Test Automation Team, Quality Engineering Teams & Product Teams. ---- What the Candidate Will Do ---- Build, Maintain, Test and Scale tooling that runs the core device lab infrastructure services. Design and Execute system benchmarking testing for hardware Equipment like Dell Power Edge Servers, Cambrionix Hubs and Mobile Devices. Work with service providers in order to read telemetry emitted from the devices and systems to map to Observability tools like Grafana, Data dog etc. Use vendor APIs to build tracking and observability systems. Prepare Documentation from scratch for the systems that you will own, design, scale, build and support. Find Existing Technical Debt - Own and chase systems modernization efforts along with providing design and architecture ideas for the leadership to review and close. Own support in doing systems and software rollouts for internal tooling and external dependencies. Mentor Junior engineers and help them scale along with the systems you build. ---- Basic Qualifications ---- 5+ years of experience in managing internal tooling for quality assurance and testing services for large scale Mobile Only products or as a SRE or as a DevOps. 5+ years of experience and strong proficiency in scripting - Python, Bash, Shell in the context of managing test automation infrastructure. 5+ years of experience with infrastructure automation tools like Puppet, Ansible, or Chef to provide ongoing support for managing infrastructure-as-code resources. Experience with macos / Ubuntu / Linux OS configuration management at scale for critical infrastructure. This includes in-depth knowledge of deploying OS to bare metal from platforms like Dell iDRAC for production grade servers - at scale. Excellent ability to make data backed decisions to collaborate with multiple stakeholders, cross functional teams in ever changing landscapes. Ability to adapt to frequent deadlines and ever shifting priorities in a high pace environment. Ability to handle high pressure situations for finding RCA during outages with high blast radius and impact. Participate in 24*7 on call rotation and weekend deployments. Value people over everything else to maintain a high trust - high spirit team environment. ---- Preferred Qualifications ---- Familiarity with setting up configuration management of large scale mobile device lab environments using CI/CD tools like Buildkite/Jenkins. Some experience with Device Farms and SaaS platforms like AWS Device Farm, Google OmniLab, BrowserStack, Kobiton, Headspin etc. Prior Experience in providing support for OS level issues for testing frameworks like Appium, Espresso, UI Automator for QA environments / automation testing / manual testing. Prior experience with configuration management tools like Munki, or MDM tools like JAMF, Kandji, Airwatch, MobileIron, Esper, etc.

Uber partners with hotels and airlines -- including Marriott, Delta, Air France, and more -- to reward customers with hotel and airline loyalty points when they use Uber. These are marquee deals for Uber, but the economics of the deal rely on a strong understanding of deal value and incrementality. This role will drive the experiments and measurement for all of our loyalty deals. What Youll Do: Design and run experiments to measure incrementality of loyalty deals Run regressions to estimate impact of the deals using methods like two-stage least squares or instrumental variables Work with stakeholders to understand deal economics and provide recommendation on how to optimize deal structure Refine ambiguous questions and generate new hypotheses about the product through a deep understanding of the data, our customers, and our business Design experiments and interpret the results to draw detailed and impactful conclusions. Define how our teams measure success, by developing Key Performance Indicators and other users/business metrics, in close partnership with Product and other subject areas such as engineering, operations and marketing Collaborate with applied scientists and engineers to build and improve on the availability, integrity, accuracy, and reliability of data logging and data pipelines. Develop data-driven business insights and work with cross-functional partners to find opportunities and recommend prioritisation of product, growth, and optimisation initiatives. What Youll Need: Undergraduate and/or graduate degree in Math, Economics, Statistics, Engineering, Computer Science, or other quantitative fields. 10+ years experience as a Scientist Excellent understanding of statistical principles backed by an academic foundation Advanced SQL expertise Experience with either Python or R for data analysis Significant experience in setting up and evaluation of complex experiments Proven track record to wrangle large datasets, extract insights from data, and summarise learnings/takeaways. Experience with Excel and some dashboarding/data visualisation (ie Tableau, Mixpanel, Looker, or similar)

As a Product Designer, you'll take on interaction and service design challenges, and you'll work on big new ideas that will transform how people use our product. You'll collaborate with engineers, product managers and some of the world's best designers and researchers in a fast-paced, rapidly growing environment. You'll make magic by crafting and shipping delightful experiences for people around the world. This is a Product Design / User Experience Design position on the Rides Design team You will work on Uber's flagship consumer experience: Riders all over the world take over 100 million Uber rides every month. As a designer on this team, you have the opportunity to drive real change for people, for the processes that get us there, and the product innovations that we'll build. This team thinks about frameworks and scalability and is passionate about craft and quality. We partner closely with systems designers, engineers, and product partners. We also collaborate widely with all teams that build into the Uber app. ---- What the Candidate Will Do ---- An expert on the Uber Design team: Learn how we collaborate and use design tools, how to design with the Uber Base design system, and be an example of how we design for clarity, inclusion, accessibility, scalability, and global localization An expert in your product area: Learn about complex business goals and strategy, understand existing tech platforms, and build on your teams product development and launch review process Scope: Work on projects of all sizes, from problems that are well-known to those more complex and conceptual, while leading a roadmap in your product area. Process: Build a deep understanding of the users youre designing for through data and research, lead the end-to-end design process, solicit and incorporate feedback from experts, translate your designs to build with engineers, and work flexibly with a variety of teams. Design at all levels of fidelity and practice good judgment on making tradeoffs. Craft: Deliver designs that are innovative and sophisticated, buildable and scalable, and are thoroughly documented. Develop a strong understanding of business, data, and engineering requirements, and create experiences that deliver customer value. Efficiency: Prioritize and manage your time efficiently, operate with a high level of autonomy, and adapt easily to challenges. Communication: Communicate with clarity and persuasiveness, and effectively present your work and rationale to all the relevant stakeholders. Proactively connect with your team and manager, facilitate design sessions, and collaborate with other designers. ---- Basic Qualifications ---- 6+ years of experience building products for mobile apps Proficiency with Figma or similar tools and prototyping methods Experience working and collaborating in a tech environment A portfolio showing your high-quality, thoughtful UI and UX work ---- Preferred Qualifications ---- A degree in HCI, Graphic Design, or a related field Experience working with user experience researchers and various methods of research and user testing Experience designing experiments or A/B testing Experience building into design systems and implementing systems components with engineers

As a **Senior Security Engineer**, you will be responsible for the design and development of Identity and Access Governance systems and microservices responsible for authentication, authorization, and single sign-on app integrations. You are responsible to build new Features, APIs, Rules, Workflows, Analytics, Tasks and Reports for the Information Security org. You will be responsible for providing and assisting in defining Identity Security controls, best practices, compliance controls for Uber s internal workforce and services. You will also be responsible for identification and adoption of security trends, software engineering best practices defined by Uber engineering and be the flag bearer of the same within and outside the team. Design and Build extensible access governance features, centralized and adaptive access management system, and Risk Models for the organization. The team is going through an exciting transformation of Identity and Access management solutions, and a strong engineer with an ability to think out-of-the-bos is going to be a tremendous addition to this team. What the Candidate Will Do \* Provide technical leadership in designing, implementing, testing, and rolling out the Identity platform (eg SailPoint IIQ, Cloud Identity, LDAP, MFA, SSO, etc) at Uber. \* Practice Software engineering best practices while writing or reviewing code \* Develop high quality engineering design documents for new integrations and initiatives \* Engineer, Configure, Implement and maintain Identity and Access Management solutions and services \* Resolve bugs through strong programming, critical problem solving, database query skills \* Lead design and implementation engagements with other teams and be the voice of the team in those meeting while having empathy for the customer \* Change Management to critical platforms using Terraform Services Standard Build code. \* Design, Implement, maintain, manage and troubleshoot birthright provisioning and access certifications. \* Use css and js based front end customization skills to customize interfaces and build custom interfaces. **Basic Qualifications:** * 7+ Years of experience in development, Design and consulting for developing, designing SailPoint IIQ or similar IGA solutions, and Authentication platforms at large organizations. * Experience with developing complex software systems scaling to millions of users with production quality deployment, monitoring, and reliability. * Experience with large-scale distributed storage and database systems (SQL eg MySQL) * Ability to decompose complex business problems and help lead multiple teams in solving them. * Understand Role-Based Access Control, Policy-Based Access Control, Attribute based access control, Governance, Access Certification in SailPoint * Experience in Web and Middleware technologies such as Nginx, Tomcat, Weblogic * Skill set in traffic management, Service and Session Load balancing skills primarily on HAProxy, NLB and F5 are added benefits. **Bonus points** * Industry certifications such as CISM (certified information systems manager) certified java programmer), CISSP (certified information systems security professional), CISA (certified information systems auditor) * 3+ Years working experience in Devops, Linux, Puppet and Infrastructure automation * Relevant Certifications from the Industry and Technology such as SailPoint, Google Cloud, Microsoft, Cisco and Redhat. * Relevant patents in personnel identity, authentication and authorization areas.

The FinTech - Data Science team at Uber is on the lookout for an exceptional Data Scientist to join our Finance Data Store (FDS) team in Hyderabad, India. This is not just another data science role you will be at the core of Ubers financial data ecosystem , driving automation, anomaly detection, and financial forecasting that power Ubers global operations. In this role, youll work hand-in-hand with Finance, Engineering, Data Science, Product and Operations teams to turn raw financial data into meaningful insights and strategic decisions . Youll build cutting-edge machine learning models , develop financial forecasting tools , and create scalable, automated data pipelines that fuel Ubers financial strategy. If youre a data powerhouse with a passion for financial modeling, analytics, and automation , this is your chance to make a massive impact at a company that moves millions of people every day. Why Join Us The Finance Data Store (FDS) team sits at the heart of Ubers financial ecosystem , influencing high-impact decisions across Finance, Operations, and Data Science. Were the data backbone of Ubers financial strategy , ensuring our numbers are accurate, scalable, and automated. If you love diving deep into financial data, driving innovation through machine learning, and collaborating with world-class teams , this is the place to be.

You would be joining as a Business Operations Manager in Uber, India South Asia region for building and scaling business operations for Uber Intercity. This role requires you to wear an entrepreneur s hat and craft and execute a strategy for exponentially growing Intercity. You need to develop a strong understanding of the outstation travel industry, competitor landscape and consumer needs. You would work with cross-functional teams to acquire riders, improve product experience and strengthen our competitive edge in the market. What the Candidate Will Do Create a coherent vision & strategy to scale Intercity. Develop a deep understanding of the outstation travel industry, competitor landscape and consumer needs; and assess growth opportunities for Intercity. Monitor industry trends and competitor landscape and dynamically respond to market needs. Understand existing gaps in our offering on rider/ driver/ marketplace fronts; collect insights via user research and quantitative data; and collaborate with the Product team to shape Intercity product roadmap. Develop and execute growth hacking and rider acquisition/ engagement initiatives. Analyze rider data, including rider profiling, rider funnel analysis, rider lifecycle management, etc to extract insights that drive growth. Leverage problem-solving skills to identify issues on the marketplace, rider, and driver fronts. Use data analytics and qualitative research to test hypotheses, make sound business judgments, and decide on the next steps. Show agility and execution excellence in addressing these issues in a time-bound manner. Cross-functional collaboration & program management for executing projects identified (eg, Product, Supply, Core Marketplace, S&P, Marketing, CommOps, Policy, Comms, Legal, Ops etc). What the Candidate Will Need 3+ years of relevant experience in management consulting, high-growth startups, investment banking or similar professions with a high focus on strategic thinking, problem-solving and data analytics. Proficiency in data analytics & SQL is a strong plus for deriving business insights and taking data backed decisions. Bachelors degree from top universities in Engineering, Economics, Business, or other disciplines with a quantitative focus. Strategic thinking, structured problem solving and business acumen. Manage and deliver end-to-end projects on time with autonomy in a rapid growth environment; and demonstrated ability to coordinate, plan and prioritize tasks across multiple projects. Creative mindset that enjoys experimentation and is willing to take bold bets despite risk of failure. The ability to communicate and present information to stakeholders across all levels of the business. Ability to manage a wide spectrum of cross functional stakeholders.

As a Product Designer, youll take on interaction and service design challenges, and youll work on big new ideas that will transform how people use our product. Youll collaborate with engineers, product managers and some of the worlds best designers and researchers in a fast-paced, rapidly growing environment. Youll make magic by crafting and shipping delightful experiences for people around the world. ---- What the Candidate Will Do ---- Design end-to-end mobile experiences for consumer vehicles that empower earners and riders Influence product, and shape strategy and direction for big company bets Break down large ambiguous problems into simple solutions and drive them from concept through completion. Set the standard on design quality across the organization Think systematically, to make experiences as scalable as they are sophisticated and delightful Work with our UX Research team to understand and design solutions for customers across 6 continents. ---- Basic Qualifications ---- 3+ years experience in designing consumer products Experience with service design/systems thinking and integrating products/services across a platform A portfolio showing your high quality, thoughtful visual and interaction work ---- Preferred Qualifications ---- Experience working and collaborating in cross-functional environments Experience designing for mobile apps is preferred Can demonstrate thinking at a high level about product strategy and vision Experience with identifying and solving complex and ambiguous design problems A track record of shipping great design, and an understanding of what details matter at each stage of the release cycle Effective prototyping skills (motion design skills are a bonus)

Uber is looking for Sr Software Engineer - iOS to join our dynamic team and embark on a rewarding career journey Develop and maintain native iOS applications using Swift or Objective-C Collaborate with designers and product managers to understand requirements and translate them into technical specifications Implement user interfaces using Apple's UIKit framework, ensuring high-quality and responsive designs Integrate with backend services and APIs to fetch and store data, ensuring smooth data flow and efficient performance Write clean, modular, and maintainable code, following best practices and coding standards Conduct thorough testing and debugging to identify and fix issues, ensuring the quality and stability of the applications Stay up-to-date with the latest iOS technologies, frameworks, and trends, and proactively propose improvements to enhance the app development process Collaborate with cross-functional teams to plan and execute feature development and releases, ensuring timely delivery Participate in code reviews to maintain code quality, provide feedback, and suggest improvements Work in an Agile development environment, actively participating in stand-ups, sprint planning, and retrospectives

As an ML Engineer, you should be able to apply Machine Learning to Solve complex business problems and optimize customer experience, and work closely with stakeholdaers to formulate machine learning problems within the business context. Build end-end ML systems for designing, training, testing, optimization, deploying, and serving machine learning models. Write ML system design docs and production-level codes to train your ML models into working pipelines and serve models for large-scale online traffic. About the team The Data Intelligence Platform team is responsible for designing core foundational data sets critical to understanding customers needs and helping business teams make the right decisions in solving these crucial problems. The team s mission is to ensure high quality for all the critical data flows for analytics purposes across all verticals in Uber and enable faster implementation of data needs by building standardized tools and frameworks for accurate analysis. We are now expanding our charter to solve some of the critical business problems using ML Engineering for the Mobility Business. Join us to be part of a thriving culture while solving exciting problems at scale. What the Candidate Will Need / Bonus Points ---- What the Candidate Will Do ---- Build ML solutions to solve business needs across the Rider organization with over 300+ engineers. Some of the types of projects you will work on for e.g: Address the under-supply problem and reduce the pickup ETA Improve the overall experience of the Riders at the Airport ---- Basic Qualifications ---- Engineering Degree or equivalent in Computer Science, related field Experience in one or more Programming languages (e.g. C, C++, Java, Python, or Go) Training using data structures and algorithms Modern machine learning algorithms (e.g., tree-based techniques, supervised, deep, or probabilistic learning) Machine Learning Software such as Tensorflow/Pytorch, Caffe, Scikit-Learn, or Spark MLLib Good problem-solving and analytical skills Good team player and collaboration skills. ---- Preferred Qualifications ---- 3+ years of professional software engineering experience in industry Experience deconstructing real problems, including selecting the proper data structure and developing an appropriate algorithm and pushing to production Experience designing ML solutions, and implementing those solutions at scale Scalable ML architecture Deep Learning experience

Uber is looking for Sr Software Engineer - Frontend to join our dynamic team and embark on a rewarding career journey Collaborate with cross-functional teams, including product managers, designers, and backend engineers, to develop and implement web applications with a focus on the frontend Translate design mockups and wireframes into responsive and interactive user interfaces using HTML, CSS, and JavaScript Write clean, efficient, and maintainable code following best practices and coding standards Develop and maintain reusable frontend components and libraries to ensure consistency and efficiency in development Implement user-friendly and intuitive UI/UX designs that provide an exceptional user experience Optimize application performance and responsiveness through code optimization, caching techniques, and efficient data handling Conduct thorough testing and debugging of frontend code to identify and resolve defects or issues Collaborate with backend engineers to integrate frontend interfaces with backend APIs and services Stay updated with emerging frontend technologies, frameworks, and best practices and propose their adoption where appropriate Ensure cross-browser and cross-device compatibility of web applications Participate in code reviews to maintain code quality and provide constructive feedback to team members Collaborate with designers to provide technical input and feasibility analysis during the design process Document frontend design, development processes, and technical specifications Work in an Agile development environment, participate in sprint planning, and deliver high-quality code within project timelines

Uber is looking for Sr Software Engineer to join our dynamic team and embark on a rewarding career journey Design, develop, and maintain software applications and systems, using a variety of programming languages and technologies Write high-quality, maintainable, and scalable code, and conduct code reviews to ensure that standards are met Work on complex projects and provide technical leadership to junior engineers Collaborate with cross-functional teams, including product management, design, quality assurance, and operations, to deliver software solutions Mentor and train junior engineers, and provide guidance and support to ensure their professional development Strong leadership, communication, and interpersonal skills Strong problem-solving and analytical skills

The Core Analytics & Science Team (CAS) is Ubers primary science organisation, covering both our main lines of business as well as the underlying platform technologies on which those businesses are built. We are a key part of Ubers cross-functional product development teams, helping to drive every stage of product development through data analytic, statistical, and algorithmic expertise. CAS owns the experience and algorithms powering Ubers global Mobility and Delivery products. We optimise and personalise the rider experience, target incentives and introduce customizations for routing and matching for products and use cases that go beyond the core Uber capabilities. What Youll Do: Refine ambiguous questions and generate new hypotheses about the product through a deep understanding of the data, our customers, and our business Design experiments and interpret the results to draw detailed and impactful conclusions. Define how our teams measure success, by developing Key Performance Indicators and other users/business metrics, in close partnership with Product and other subject areas such as engineering, operations and marketing Collaborate with applied scientists and engineers to build and improve on the availability, integrity, accuracy, and reliability of data logging and data pipelines. Develop data-driven business insights and work with cross-functional partners to find opportunities and recommend prioritisation of product, growth, and optimisation initiatives. What Youll Need: Undergraduate and/or graduate degree in Math, Economics, Statistics, Engineering, Computer Science, or other quantitative fields. 9+ years experience as a Product Analyst, Sr. Data Analyst, or other types of data analysis-focused functions Excellent understanding of statistical principles backed by an academic foundation Advanced SQL expertise Experience with either Python or R for data analysis Significant experience in setting up and evaluation of complex experiments Proven track record to wrangle large datasets, extract insights from data, and summarise learnings/takeaways. Experience with Excel and some dashboarding/data visualisation (ie Tableau, Mixpanel, Looker, or similar)

About the Role: The Uber Global Scaled Solutions (GSS) team is seeking an experienced, results-oriented Training Manager to join our team. This role focuses on advancing and enabling various training initiatives by utilizing cutting-edge techniques and strategies to enhance learning outcomes. The Training Manager will play a crucial role in transforming training experiences by developing comprehensive and tailored learning curriculums for different learning personas and capacities. The ideal candidate should be able to assess current learning trends and possess the vision to accelerate training readiness through innovative and effective training methods. Additionally, in this role, you will also be responsible for ensuring the training content is the best in the industry, and current state utilizing new ways to teach through bite-sized content, engaging and quick training snippets, keeping in mind our unique and non-traditional leaner base. Basic Qualifications Bachelors degree in English, Journalism, Education, Training, Human Resources, or a related field, or equivalent practical experience. 6+ years of proven experience as an L&D/Training Manager, preferably in a corporate training environment with a track record of designing and implementing training programs. Possess excellent communication skills, capable of conveying complex ideas effectively to diverse audiences. Understanding of adult learning principles and familiarity with instructional design methodologies Familiarity and knowledge of learning and development methods and subsequent e-learning platforms and practices Proficiency with content creation tools like Vyond, Adobe Creative Suite, and Articulate Storyline is a must, and experience in using Learning Management Systems as a platform for project management Demonstrated excellence in digital research Proven ability to effectively find resources and conduct research online to support program success or identify better candidates for tasks that training will be given to. Demonstrated excellence in strategic digital research for identifying exceptional talent with precise role-specific competencies, implementing targeted pre-screening protocols that evaluate both technical qualifications and adaptability to training while ensuring optimal candidate-to-task alignment. Project management with the ability to manage multiple priorities, meet deadlines, and work effectively with cross-functional stakeholders. Need to have Creative problem-solving abilities and a passion for innovation in training and development. Exhibit strong analytical skills, with a proven track record of making data-driven business decisions. Strong working knowledge of productivity tools such as Google Docs, Sheets, Slides, or equivalent. Innovative thinker capable of generating compelling content, ideas, and narratives. Worked at a high-paced, fast-growing tech startup, or large tech company, or has a consulting background Proficient in content creation techniques, including design and CMS tools like Vyond and Articulate, with the ability to develop creative and micro-learning content based on Training Needs Analysis (TNA). Preferred Qualifications Experience in driving automated solutions to streamline training delivery MBA in any related field is an added advantage Experience in driving automated solutions to streamline content delivery and assessment processes is an added advantage. What You will do: Training Delivery You will develop and implement comprehensive training programs, evaluate training needs, design training programs, and assess learning effectiveness. Partner with stakeholders and SMEs to design and develop programs that align with business objectives and product requirements while addressing the needs of a diverse audience. Manage and maintain training repositories, SOPs, and other channels to ensure accurate and up-to-date information is available to all stakeholders. Groom a team of remote trainers, instructional designers, and coordinators, to deliver high-quality training programs. Identifying training needs and priorities through needs assessments, performance evaluations, and stakeholder feedback. Track and report on training metrics and KPIs to measure the impact and ROI of training programs. Content Development Develop engaging and effective training materials, including e-learning modules, videos, and interactive presentations using assets such as graphics, animations, simulations, and interactive exercises. Provide quality oversight and be accountable for all written and visual content to ensure top-notch standards are maintained in terms of style, grammar, authenticity, originality, and creativity, for all training materials (while strictly adhering to Ubers style guide and legal requirements) Streamline written and visual content into bite-sized content (30 seconds to 2-minute minutes), using creative storyboarding and animatics to draft video concepts. Lead and groom a team of storyboard artists, instructional designers, and content developers to build engaging content to improve learner retention, facilitating consistent production output quality. Collaboration and continuous improvement Evaluate the effectiveness of existing training curriculums and make data-driven recommendations for improvement and enhancement. Collaborate to create engaging and effective training materials, including e-learning modules, videos, and interactive presentations to enhance training delivery and effectiveness. Knowledge of L&D Trends Research and assess the potential impact of new trends on training initiatives, recommending innovative solutions to enhance learning outcomes and customize learning for different audiences Drive LMS Management adoption across all workflows. Stay updated on emerging LMS features and automation tools to enhance the learning experience and drive innovation. Domain Experience Learning & Development, Training need analysis, Data Analysis, Content strategy, Adaptability, Training models and curriculum development.

Candidate will be responsible for breaking down complex requirements into achievable production code. Candidate will design, build, monitor, and support key payment flows that have high requirements for both performance, availability and accuracy. Analyze and decompose complex software systems and collaborate with cross-functional teams to build high performance systems. This position will require candidate to be on call for urgent issues affecting production systems. ---- Basic Qualifications ---- Strong backend software engineering experience including CS fundamentals. Bachelor's degree in Computer Science or related technical field or equivalent practical experience required. Expertise in golang or Java Experience in high volume, production systems including high quality code, deployment, monitoring and reliability. Self-driven to identify opportunities and improve systems. High levels of adaptability and willingness to learn. ---- Preferred Qualifications ---- Prior experience in platform-level system design and support. Background in building high-performance, scalable distributed systems. Domain knowledge of the payments and/or financial space.

As an Staff Engineer in E+V, you will be working in one of these sub-areas, driving design and architecture of products & systems, leading engineering excellence initiatives and maintaining operational health of the underlying systems in perfect health, ensuring high availability and reliability. You will also be mentoring SSEs, SE-IIs and SEs working in your team. You will be taking guidance from Sr Staff Engs and collaborating with EMs from partner teams and cross-functional stakeholders to deliver your projects. What you'll Do: Design/architect, develop and/or test software applications using Ubers technology stack Apply technical knowledge to evaluate complex development/projects and provide recommendations to resolve complex technical issues; you'll be very close to business concerns, working alongside Product Managers, Designers, Data Scientists and Operations team, to understand whats most important, and translating that to systems, designs, and code that best solves for today, as well as plans for tomorrow You will build user-facing products - the work you do will impact every single Earner and operations. You will be responsible for the delivery of high quality products with fast iterations. What you'll Need: Grit, drive and a deep feeling of ownership. Minimum 10+ years hands on experience in developing distributed computing systems at internet scale. Good understanding of databases, messaging and system design for resiliency and reliability Experience analysing a feature in production using analytics and experiments Experience collaborating on projects and working efficiently as part of a team Thriving in ambiguity and having a go-getter attitude

Work with tax operations, product, compliance, engineering, ops, accounting and other business stakeholders in mining and analyzing tax financial and entity-level data to extract key trends and insights. Investigate and resolve discrepancies in tax data, generate reports for external data sharing. Build effective visualizations to communicate data to key decision-makers. Be a trusted advisor to stakeholders cross-functionally. Build models to automate detection of anomalies/inconsistencies in tax data and resolve the same; Build end to end data pipelines and self serving dashboards. Automate whatever you can! Explore FinTech systems/data to proactively identify and initiate process improvements for cost savings and efficiencies. Communicate your findings to cross-functional peers and management. Get a deep understanding about the Tax systems and data flows involved; document and train internal personnel to institutionalize the learnings of the data science practice. ---- Basic Qualifications ---- M.S. or Bachelors degree in Math, Economics, Bioinformatics, Statistics, Engineering, Computer Science, or other quantitative fields. (If M.S. degree, a minimum of 1+ years of industry experience required and if Bachelors degree, a minimum of 2+ years of industry experience as a Data Scientist or equivalent) Advanced SQL expertise Ability and experience in extracting insights from data, and summarizing learnings / takeaways to cross-functional stakeholders. Experience with Excel and some dashboarding/data visualization (ie Tableau, Mixpanel, Looker, or similar) Past experience with a Product / Tech / Analytics Services company serving businesses with millions of customers on multiple platforms and countries ---- Preferred Qualifications ---- Experience with either Python or R Basic understanding of experimental design (such as A/B experiments) and statistical methods Demonstrated aptitude toward data storytelling and root cause analysis using data Enthusiastic, self-starting and thrives in changing, agile environments Liaise with Product and engineering counterparts to launch and impact new products Strong communication and organization skills Ability to multi-task while maintaining quality and detail Prior experience working in Finance, FinTech, Tax, Payments or a related area is a plus

Design, develop, and maintain backend services, data pipelines, and offline datasets related to web events and analytics. Lead the development of new foundational capabilities in support of enabling our users to interact with, analyze, and derive insights from their data. Solve complex and challenging problems in the intersection between low latency, high correctness, and full determinism. Participate in code reviews, provide mentorship to junior team members, and enforce coding standards. Investigate, diagnose, and resolve software defects and issues, ensuring a high level of product quality. Contribute to the overall architecture and design of data ingestion frameworks ---- Basic Qualifications ---- Bachelors or Masters degree in Computer Science or a related field. 7+ years of professional experience software development experience Proficiency in developing and maintaining production grade backend services Experience working on systems operating at large scale ---- Preferred Qualifications ---- Experience with adtech or growth platforms Experience with stream processing frameworks such as Apache Flink Experience in data engineering

The mission of U4B Science is to help the team build and improve Ubers B2B products through data insights. We own complex projects from end-to-end, including exploratory analysis, experimentation, and measurement foundations for tracking how our products are doing. Candidates are expected to be technical and full-stack, covering everything from strategic product analysis to logging design and measurement. ---- What You Will Do ---- Generate product insights through analysis to influence decisions and what / how the team builds Design and analyze experiments to help the team learn, ship, and measure impact Lead product measurement for the team, including metrics design, implementation, and goal setting Scale data visibility and access through dashboards or other tools ---- What You Will Need ---- Coding with data (SQL, Python / R) Data visualization Statistics and experimentation ---- Preferred Qualifications ---- Technology and product experience Marketplace experimentation Modeling or causal inference

Design, scale, code, monitor and maintain a highly critical set of services. Contribute, lead, own and deliver multiple high impact and complex projects/features. Collaborate with cross-functional teams, product managers and designers to deliver cohesive solutions impacting multiple products. Working alongside talented senior engineers on complex problems, challenging the status quo, and pioneering innovative solutions across Uber. Mentor and groom junior engineers. ---- Basic Qualifications ---- MS/BS in Computer science and at least 4 years of individual contributor experience as a software engineer. Adept at coding in any of the following languages - Java, Go, C++. Experience with Node.js, Javascript, React, GraphQL, Web Components, HTML, CSS. The ability to go deep, but also appreciate the challenge of going broad. Uber has a huge stack, and we re all over it: backend services, real-time dispatch, machine learning, mobile, web development, data and analytics, infrastructure, marketing systems. Solid understanding of distributed systems architecture - consensus, convergence, load balancing, data consistency and performance/efficiency constructs. Identify and resolve performance and scalability issues - systems at scale serving millions of users with high availability. High adaptability. Strong desire to learn and grow, while building the best in class systems. Strong flair for effective communication and collaboration - you know when to push on and when to step back. Ability to learn quickly and have fun while working on the hardest problems. ---- Preferred Qualifications ---- Prior experience in fintech, payments, compliance domain Prior experience in working with applications at scale. Prior experience in Go and React. Prior experience building user-facing web applications. Customer-centric mindset to create intuitive and coherent user experiences.

You will have the opportunity to collaborate with multiple cross-functional global teams to deliver scalable data solutions wherein the expectation is to - Build scalable analytical frameworks to support product analytics for Ubers Customer Obsession Platform Be an invaluable partner to product managers, engineers, operations, & various data teams to help create and execute the direction of the product roadmap which includes scoping the business problem, providing a data lens to product design, owning the experimentation cycle to full global rollouts and eventually impact estimation & long term monitoring. Proactively communicate insights and drive projects to drive towards team goals Ensure data quality across critical pipelines and to set up processes to triage data issues Build & maintain critical data pipelines, insight boards & monitoring tools that help track metrics to measure and monitor platform health Seek out opportunities to build new solutions to tackle Customer & Business pain points ---- Basic Qualifications ---- 2+ years of work experience with a Bachelors Degree OR 1+ years of work experience with a Masters Degree. Work experience should be in a data-focused role such as product analytics, risk analytics, business analytics, business operations, or data science Education in Engineering, Computer Science, Math, Economics, Statistics, Operation Research or equivalent experience Proven competency in statistical languages like SQL, SAS, R and/or in modern programming languages like Python Past experience with a Product / Tech / Analytics Services company serving businesses with millions of customers on multiple platforms and countries ---- Preferred Qualifications ---- SQL mastery. Write efficient and complex code in SQL Experience in Python/R, Experimentation methods like A/B testing, and Statistical modelling is preferred Experience in Customer Service related domains with a Product / Technology / Analytics Services company is a plus Proven ability to handle and visualise large datasets, explore and utilise raw data feeds Love of data - One should have the zeal to just go get the required data and turn it into an insightful story Ability to build a structured approach to problem-solving that leads to high quality hypotheses Strong sense of ownership, accountability, and entrepreneurial spirit Effective communicator & proactive collaborator Independent & autonomous, while still a strong team player Enthusiastic, self-starting and thrives in changing, agile environments

Build strong relationships with cross-functional team members and work collaboratively with key stakeholders to deliver on the following: Operational Efficiency Identify gaps and risks to the organization and operational efficiencies. Create programs, processes, and policies to drive improvements. Monitor, evaluate, and continuously improve the organization by being a trusted advisor, facilitator, and creative problem solver. Implement continuous improvements to the organization and the program management process Execution Drive the execution of operational programs, projects, and initiatives. Handle issue escalations and proactively remove obstacles to drive momentum and progress Set and scale new pilot projects, write detailed SOPs for the vendor teams, identify process challenges along with tool improvements Financial and Headcount Management Ensure organizational spending aligns with budget and priorities Communication Lead the communications strategy for your programs. Ensure information flows clearly and efficiently to enable teams Build strong partnerships with Product, Engineering, and Data Science teams and represent GSS in cross-team meetings/reviews Insights Identify data based opportunities to improve process and customer experience ---- Basic Qualifications ---- Experience managing programs in 2D and 3D LiDAR annotations, object detection, semantic segmentation, polyline, and polygon annotation Ideate and drive programs aimed at driving efficiencies for GSS Facilitate and drive high-impact initiatives to improve process quality and the customer experience Collaborate with key stakeholders for scoping and prioritizing project activities based on the business impact and team OKRs Turn analyzed data into actionable deliverables for the product, support, and operational improvements Work with vendor teams to execute ideas and deliver continuous improvement of programs Interface with tech leads and engineers to estimate efforts, define milestones, track progress, resolve dependencies, evaluate risks and communicate status to project stakeholders Ability to work with engineer/product/ internal teams to deliver tool/tech solutions that will drive long term improvements in operational efficiency Communicate plans, insights, data, and results to project stakeholders Share frameworks, tools, best practices that improve the delivery of projects with focus on reusability and standardization Design experiments and interpret the results to draw detailed and actionable conclusions Present findings to senior management to guide business decisions Track, analyze, and report data patterns and trends associated with the programs you own ---- Preferred Qualifications ---- Worked at a high-paced, fast-growing tech startup, large tech company, or has a consulting background Analytics background. You have collected, structured and analyzed data to drive key insights

In the role of Program Manager Tech with Engineering Services, you will be responsible for delivering high quality Engineering work within the timelines and resource scope. You will be be responsible for - What you'll do: Drive efficiencies for GSS through various functional opportunities Define, scale, manage and deliver multiple tech projects. Effective at managing multiple priorities under tight deadlines, ability to prioritize conflicting demands Collaborate with key stakeholders for scoping and prioritization based on the business impact/ team OKRs Turn analyzed data into actionable deliverables for the product, support, and operational improvements Work with vendor teams to execute ideas and deliver continuous improvement of programs Ability to work with engineer/product/ internal teams to deliver tool/tech solutions that will drive long term improvements in operational efficiency Understand the broader picture, provide strategy, vision and engage in cross-functional interaction. Communicate plans, insights, data, and results to project stakeholders Share frameworks, tools, best practices that improve the delivery of projects with focus on reusability and standardization Structural and methodical thinking, problem solving, handling ambiguous situations. Strong analytical skills; solid decision-making capabilities coupled with the ability to analyze situations and provide practical recommendations Experience/exposure to the technical systems and design. Be a thought leader for data-informed initiatives and guide the overall team s direction Establish processes that deliver continuous improvement across all operational activities ---- Basic Qualifications ---- Minimum 4 years of experience in technical program management or product management Bachelors degree or equivalent combination of industry related professional experience and education Experience in solving problems, both structured and ambiguous, at scale with strong Excellent written and verbal communication skills Ability to influence and motivate people (with both technical and non-technical individuals) across a broad variety of job functions through your relationships ---- Preferred Qualifications ---- Solid technical aptitude and ability to understand technical design, challenges, and risks Strong analytical and quantitative skills with the ability to use data and metrics to back up assumptions, recommendations and drive customer and product-focused decisions

Uber is looking for Engineering Manager II to join our dynamic team and embark on a rewarding career journey. Engineering Manager II is responsible for overseeing and optimizing engineering manager ii operations. This role involves strategic planning, team coordination, and execution of tasks to ensure efficiency and productivity. The incumbent will collaborate with stakeholders to align operations with business goals. Duties include monitoring performance, ensuring compliance with policies, and implementing best practices. Additionally, they will manage resources, resolve operational challenges, and contribute to continuous improvement initiatives. Strong analytical skills, leadership abilities, and industry knowledge are essential for success in this role.

Uber is looking for Engineering Manager II, Mobility Ad Products to join our dynamic team and embark on a rewarding career journey. Engineering Manager II, Mobility Ad Products is responsible for overseeing and optimizing engineering manager ii, mobility ad products operations. This role involves strategic planning, team coordination, and execution of tasks to ensure efficiency and productivity. The incumbent will collaborate with stakeholders to align operations with business goals. Duties include monitoring performance, ensuring compliance with policies, and implementing best practices. Additionally, they will manage resources, resolve operational challenges, and contribute to continuous improvement initiatives. Strong analytical skills, leadership abilities, and industry knowledge are essential for success in this role.

Uber is looking for Engineering Manager II to join our dynamic team and embark on a rewarding career journey Oversee engineering projects Ensure compliance with standards Mentor and guide engineering teams Monitor project milestones

Code: Writes high-quality code (i.e., reliable, readable, efficient, testable), provides quality code reviews, and creates comprehensive tests and quality documentation using software engineering principles. This includes knowledge of data structures, algorithms, programming and associated programming languages and frameworks, and major phases/activities of the software research and development life cycle (e.g., requirements, design, build, experiment, test, debug, deploy, monitor). Identifies, reports, and solves technical problems according to standards and best practices. Design: Uses software design principles and methods, knowledge of the capabilities and limitations of existing software solutions at Uber, and an understanding of own works impact on other areas to reuse, extend, or, when needed, build effective architectures that are integrated with existing solutions and in alignment with needs and goals across areas. Learns and anticipates current and future design requirements and evaluates trade-off decisions to design systems that meet current needs and can be extended for future needs Execute: Executes work with drive and appropriate sense of urgency to deliver technical and business impact. Plans, organizes, and manages tasks, resources, and relationships to accomplish work accurately and on time. Defines and diagnoses problems and determines an appropriate solution, recommendation, or decision while logically evaluating alternatives and factors (e.g., resources, costs, tradeoffs). Accepts responsibility and accounts for own actions and work. Collaborate: Builds trusting and collaborative relationships and rapport with different types of people and teams. Respects the unique backgrounds and contributions of others. Recognizes conflict or disputes among people and situations, learns and works to understand different points of view. Resolves and aligns discrepancies across teams and organizations to accomplish team-, organization-, or Uberwide goals. Provides constructive feedback to others in a tactful and impactful manner. Be efficient: Creates and promotes efficiency and speed within Uber technology, people, and teams by leveraging and extending existing solutions when possible, and by developing solutions that balance long-term productivity with short-term needs. Identifies and addresses inefficiencies and redundancy in day-to-day work. Improves and advocates for processes and technologies that enhance the efficiency and performance of software and systems Create culture: Enhances the effective functioning of Uber by participating in and promoting activities and efforts that contribute to excellence and shape and evolve team-, organization-, and Uber-wide culture (e.g., reviewing diffs, refactoring code, participating in recruiting, hiring, and promotion activities, joining an ERG). Contributes to the broader community through participation in internally- and/or externally-focused engagements (e.g., tech talks, open source, conferences, team building) ---- What You Will Need ---- We are looking for experienced smart engineers who are passionate about the domain and the technology. Those who have track record of ownership, execution quality and customer obsession. Bachelors degree in Computer Science or related technical field or equivalent practical experience Experience coding using general purpose programming language (eg. Java, Python, Go, Javascript, Fusion) ---- Preferred Qualifications ---- Experience of building products in the early stages iterating fast & learning from customers to achieve the product market fit. Have worked across timezones with cross functional teams to collaborate and deliver on ambiguous projects. Have demonstrated ability to work in a fungible manner across tech stacks and programming languages across different domains including Backend, Frontend, Applied ML, etc.

Design/architect, develop and/or test software applications using Uber's technology stack Apply technical knowledge to evaluate complex development/projects and provide recommendations to resolve complex technical issues; You'll be very close to business concerns, working alongside Product Managers, Designers, Data Scientists and Operations team, to understand what's most important, and translating that to systems, designs, and code that best solves for today, as well as plans for tomorrow You will build user-facing products - the work you do will impact every single Earner and operations. You will be responsible for the delivery of high quality products with fast iterations.

Design of KPI tracking systems for complex company-wide metrics across various Uber products and teams globally Performing analytical deep dives to drive product/strategy road-map Build data products from scratch using tech stacks like GenAI, NLP, ML, DE, etc Apply expertise in statistical analysis, data mining and visualization to own and deliver end to end analytical solution development Translate analytical solution into actionable insights and recommendations for the technical and non-technical audience in a clear, concise and persuasive way Maintain and continue to raise the bar for quality/efficiency of analytical solution delivery across the team Focus on long term improvements by building, maintaining, and documenting best practices within the team and seek continuous improvement opportunities Lead vendor data analysts in project execution Do all that it takes to drive and deliver multiple analytical and data engineering projects to partner teams across Uber ---- What You Will Need ---- BA/BS/MS in Physics, Economics, Applied Math, Statistics, Engineering, OR, Computer Science, or any other quantitative field Proficient in writing and understanding complex SQL queries Knowledge of latest ML algorithms such as GenAI, NLP, CV, recommendation systems Strong multi-tasking & project management skills, Keen sense of prioritization. Ability to thrive and deliver in an ambiguous environment Self-motivated and driven to deliver agreed results on-time. Good story-telling & articulation skills - ability to convert analytical output into clear, concise, and persuasive insights & recommendations for technical & non-technical audience Strong influence and relationship management skills; comfortable interacting across all levels of stakeholders A minimum 2+ years experience in an analytics/DE delivery role ---- Preferred Qualifications ---- Programming background and expertise in solving a business problem using at least one of the following languages: Python, R Deep knowledge of NLP theory and an understanding of the latest innovations in Generative AI Experience with Big Data platforms like Spark, Hadoop, and their ecosystems (Hive, Pig) Experience working with large data sets and Hive database Experience of successfully managing small to medium-scale projects