The Core Analytics & Science Team (CAS) is Ubers primary science organisation, covering both our main lines of business as we'll 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. 1. Refine ambiguous questions and generate new hypotheses about the product through a deep understanding of the data, our customers, and our business 2. Design experiments and interpret the results to draw detailed and impactful conclusions. 3. 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 4. Collaborate with applied scientists and engineers to build and improve on the availability, integrity, accuracy, and reliability of data logging and data pipelines. 5. Develop data-driven business insights and work with cross-functional partners to find opportunities and recommend prioritisation of product, growth, and optimisation initiatives.

In the APAC Analytics & Insights team, we collaborate with Community Operations managers across the region to enhance the customer experience. The analyst plays a critical role in generating insights from customer support data pinpointing key concerns, identifying gaps in existing processes, and empowering stakeholders to make data-backed decisions that improve customer experience and deliver business value through a smoother, more effective support journey. Your Impact in Role: Translate business problems into analytical solutions by writing efficient SQL queries to extract and analyse relevant data. Conduct root-cause analysis to uncover drivers of customer support interactions and identify gaps across processes, products, or operations. Identify opportunities to enhance the customer experience and provide stakeholders with data-driven insights to drive long-term improvements. Build and maintain dashboards to monitor KPIs, surface trends, and highlight anomalies requiring stakeholder attention. Deliver actionable insights through clear, compelling storytelling that supports strategic decision-making. Foster a collaborative team culture and mentor peers by sharing knowledge The Experience you'll Bring: Strong business acumen and the ability to translate business questions into analytical solutions Expertise in data querying and manipulation using SQL Proficiency in Python for data analysis and automation tasks Experience with data visualization and dashboard creation using Looker studio and Tableau Strong skills in G-Suite tools Proven experience in stakeholder management and presenting insights Excellent communication skills and a flair for data-driven storytelling Self-starter with a proactive approach to identifying opportunities for improvement Preferred Qualifications: Background in Statistics or strong understanding of statistical methods Experience in A/B testing or Experimentation setups Advanced proficiency in Python with a strong ability to debug and resolve errors in fast-paced environments.

Merchant Product Org at Uber Eats has the vision of building the most preferred online delivery platform for merchants globally. This team helps build great experiences for Merchants across their entire lifecycle in running an online food delivery business. We are looking for a seasoned Lead Product Manager to drive product-led growth initiatives for merchants to grow their business on Uber Eats by providing them the right technology tools and intelligence. In this role, you will be building products for heterogenous segments of merchants ranging from Large Enterprises (established food chains) to small independent restaurants globally. ---- What the Candidate Will Do ---- Define the overall product strategy, goals, and roadmap to drive merchant growth Partner closely with engineering, dats science, design, user research, and product operations teams to build user-centric product with a high bar on quality Collaborate with operations, product marketing, global account management teams to define theGTM strategy and drive execution. Monitor product performance, learn and iterate. Clearly communicate product plans, impact, and trade-offs to a wide spectrum of audiences, including partner teams and senior leadership teams. ---- Basic Qualifications ---- Bachelors degree in engineering, business management, or equivalent 8+ years of overall experience with 6+ years as a product manager with a strong track record of creating impact at scale in product driven companies Demonstrated experience of working cross-functionally with engineering, design, data science, and operations stakeholders to solve complex user-facing problems Experience in independently framing high visibility OKRs, building 6-12 month product roadmaps, and driving execution for a product charter of moderate to high ambiguity ---- Preferred Qualifications ---- Experience of building products in an online marketplace business (e-commerce, food delivery, etc) and/or building products for small businesses Experience of working in a fast-paced global product company Experience of building products at large scale (100M+ user base)

Part of the Merchant team within the Uber Eats delivery marketplace. Lead a cross-functional team of engineers, designers, data science, product operations, and regional operations to ship best-in-class Merchant Experiences Form a strong vision and roadmap for a particular part of the merchant journey and sell that vision internally to cross-functional stakeholders as we'll as to the leadership. What the Candidate Will Need / Bonus Points This team is responsible for building Enterprise-grade products for highly scaled merchants who work with Uber for online food delivery. This role plays a critical part in improving Merchant outcomes by helping them gain maximum value from the products we build and realize their full potential on the food delivery marketplace. This is a global Product role and serves all 25+ geographies where Uber Eats operates. Internalize and deeply understand Ubers mission and strategies, and use these to define and distill the mission and objectives for your specific teams Understand the needs of our merchants, consumers, and the business to define the vision, strategy, and roadmap Collaborate with market-facing and engineering teams to address business needs with bar-raising product features. Monitor and measure launched products and feed insights into the product development process. Communicate product plans, benefits, and results to a broad spectrum of audiences, from internal users to leadership teams Work closely with engineering, design, data science, and lines of businesses to figure out features to build next Ensure synchronization with other teams across the Merchant portfolio Support leadership and stakeholders with strategic inputs on product enhancements and contribute to cross-team initiatives ---- Basic Qualifications ---- 5+ years of product management experience delivering highly successful and innovative products with your fingerprints all over them -- and you're deeply proud of what you've accomplished Empathy: For your cross-functional team, for your stakeholders and their goals, and most importantly, for the merchants, you create these experiences for Ability to structure thinking to translate complex problems into simplified next steps Never-ending ability to grow & learn and adapt your thinking to a fast-paced environment Grittiness: You never hesitate to roll up your sleeves and tackle something hands-on Tech Savviness: Ability to understand & translate sophisticated technical concepts across cross-functional teams and to simplify key takeaways for executives Understanding of UX best practices: Proven ability to deliver top-class end-customer experiences Excellent written and verbal communication skills Strong analytical and quantitative skills with the ability to use data and metrics to justify requirements and features and drive the management of product Great attention to detail ---- Preferred Qualifications ---- Proven track record of building and shipping Products in a tier-1 Product company Experience working on global products and geographically dispersed teams Experience in analyzing complex business problems and developing effective product strategies to solve them

This role is part of the Support Abuse Analytics and Insights team, which sits within a broader Global Planning, Strategy & Analytics team in Community Operations (CommOps). CommOps is responsible for developing a world-class customer support organization that scales effectively, is reliable and consistent, and provides unmatched service to our global Uber community. The Support Abuse data analytics specialist will help in defining and monitoring key business metrics for the Global Support Abuse program, which has a mission of driving efficient, fair, and accurate resolution of refunds and appeasements requests by Uber users by ensuring that automated and manual policies are not abused. This analytics team will also be partnering with many Product / Data Science / Operational teams to tackle key support abuse goals. As a data analytics specialist for the team, you will help drive impact by being a subject matter expert of our data, as we'll as assisting the team in driving projects through a data perspective. Your Impact in Role: Build and maintain source of truth dashboards, queries, and self-service data tools to be leveraged by stakeholders for monitoring business performance and guiding decisions Recommend and implement strategies to optimize queries, dashboards or analytic processes Proactively analyze data, identify trends and generate meaningful recommendations to drive business goals within the Support Abuse domain Performing impact analysis to assess the feasibility and effectiveness of programmatic or operational projects Occasionally train and mentor junior team members on analytic best practices The Experience you'll Bring: At least 2 years experience in data analytics Strong analytics, SQL, and web query skills with ability to: Select, clear and transform dataset Write simple nested statements and queries for complex problems Use Hive or Presto Experience within Python or R, with the ability to: Build self-operating dashboards Work with third-party APIs (basics) Use Pandas Library (skilled) Strong stakeholder management and communication skills, with the ability to: work with many business Stakeholders and tailor solutions to their needs explain complex technical details to non-technical business audience (excellent written and spoken English) Proficiency with at least 1 data visualization tool (eg Tableau, Looker Studio, Excel / Google Sheets) Preferred Qualifications: Coding with best practices (optimized & reusable code, versioning, etc) Creating flows (ex.: Lucidchart) Basic statistics knowledge, affinity with: experimental design and A/B Testing, Percentiles, distributions, regression analysis Exposure to: Scrum process (eg Jira) and interpretation and preparation of technical documentation Willingness to develop subject matter knowledge on Support Abuse and specific business processes to drive impactful analytic insights

We are looking for an exceptional candidate to lead a portfolio of programs in the domain of data analytics, data engineering, reporting and insights, in the Data Analytics Services team of GSS. You will be responsible for scaling and overseeing company-wide programs focussed around data analytics services. You will have the opportunity to drive the analysis behind various product, engineering and operations related decisions @ Uber. You will perform a range of activities demonstrating your analytical thought leadership and will be involved in leading multiple data-driven projects. You will be leading a team of program managers in the domains of data analytics, data engineering and reporting, as we'll as help manage large vendor operations across multiple sites in driving this charter forward. ---- What You Will Do ---- Program delivery leadership - lead multiple data analytics programs at Uber, with the scope including (but not limited to) Metrics and KPI design and development BI, dashboards and reporting solutions design and development Data engineering for analytics - pipelines, data mart design and implementation Analytical deep dives, insights generation Insights for experimentation (eg, A/B testing) and other product initiatives Vendor delivery management - develop, manage and maintain vendor relationships and delivery in the domains of data analytics, including their delivery performance and quality, vendor talent sourcing and selection, managing cost and financials, run vendor transitions when needed Team management - develop, coach and mentor the team (including team leads) consisting of data analytics/engineering program managers and analysts, and enable their career development and performance management Stakeholder management - engage with and actively manage the business relationships with Uber (and when needed, external) stakeholders across product, operations, engineering and other teams globally, with the ability to represent Data Analytics Services deeply, and the rest of GSS capabilities in general as we'll Innovation and thought leadership - identify opportunities for automation and self service products and solutions in the data analytics domain, leverage leading disruptive technologies like genAI, and implement them at scale to realize business impact Best practices - continually improve ways of work, enhance delivery maturity, elevate governance and impact Culture champion - participate at GSS level overall, to drive organizational culture ---- What You Will Need ---- 10+ years of experience in the domains of data analytics, data engineering, reporting, insights generation - both from a technical perspective as we'll as in a consultative manner - solving for complex problems at scale Technical familiarity and experience with leading data analytics tools and softwares (python, SQL, google suite and others) Experience in stakeholder management - with internal or external client stakeholders at senior levels, ability to engage strategically as we'll as manage tactical governance Excellent team management and supervisory skills Familiarity with managing vendors, or deep experience working in a client-vendor setup Strong ability to communicate, bring clarity of thought in messaging for senior management as we'll as broader teams Track record of driving innovation and continuous improvement in data analytics services Strong collaboration skills and abilities - working across silos and team structures to drive impact effectively Ability to work in a global organization across locations and time zones ---- Preferred Qualifications ---- Education in technical domains like engineering, econometrics, statistics, business management Familiarity with software product/tech domain is a plus Strong business acumen, willingness to take smart risks and grow Ability to get hands-on and go deep and be very detail oriented where needed, and zoom out to see and manage the big picture Sense of ownership - self starter who can take a charter and define goals, execute plans Experience in handling large teams, and senior tenured reportees Familiarity with genAI tech and tools, industry-leading ML capabilities as they apply to data analytics, is a plus. Ability to understand what new tech/tools can do, and be able to apply them in the context of business Good prioritization and time management skills

The Marketplace Health Science team at Uber plays a pivotal role in monitoring marketplace performance, detecting issues in real time, and driving solutions through algorithmic and data-driven interventions. Our work is essential to maintaining Uber s market leadership and delivering reliable experiences to riders and earners. We are seeking experienced data scientists who thrive on solving complex problems at scale. The ideal candidate brings a strong foundation in causal inference, experimentation and analytics, along with a deep understanding of marketplace dynamics and metric trade-offs. ---- What the Candidate Will Do ---- Refine ambiguous questions and generate new hypotheses about whether marketplace levers such as Rider and Driver Pricing, Matching, Surge etc are functioning appropriately through a deep understanding of the data, our customers, and our business. Define how our teams measure success by developing Key Performance Indicators and other user/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 the availability, integrity, accuracy, and reliability of our models, tables etc Design and develop algorithms to increase the speed and accuracy with which we'react to marketplace changes. Develop data-driven business insights and work with cross-functional partners to find opportunities and recommend prioritization of product, growth, and optimization initiatives. ---- Basic Qualifications ---- Undergraduate and/or graduate degree in Math, Economics, Statistics, Engineering, Computer Science, or other quantitative fields. 6+ years of experience as a Data Scientist, Product Analyst, Senior Data Analyst, or other types of data analysis-focused functions. Deep understanding of core statistical concepts such as hypothesis testing, regression, and causal inference Advanced SQL expertise. Experience with either Python or R for data analysis. Knowledge of experimental design and analysis (A/B, Switchbacks, Synthetic Control, Diff in Diff, etc). Experience with exploratory data analysis, statistical analysis and testing, and model development. Proven track record to wrangle large datasets, extract insights from data, and summarize learnings/takeaways. Experience with Excel and some dashboarding/data visualization (ie, Tableau, Mixpanel, Looker, or similar). ---- Preferred Qualifications ---- Proven aptitude toward Data Storytelling and Root Cause Analysis using data. Excellent communication skills across technical, non-technical, and executive audiences. Have a growth mindset; love solving ambiguous, ambitious, and impactful problems. Ability to work in a self-guided manner. Ability to deliver on tight timelines and prioritize multiple tasks while maintaining quality and detail.

About the Role Uber Scaled Solutions is one of Uber's biggest bets with the ambition to build one of the world's largest data foundries for AI applications and evolve into a platform of choice for a variety of online tasks. CRM is one of the core functions within Uber Scaled Solutions with the responsibility to engage IC gig workers who would perform diverse 'Human in the loop' tasks for AI B2B clients. We are seeking a dynamic and results-oriented CRM Specialist to drive customer engagement and foster strong relationships for the Uber Scaled Solution program. This role will be pivotal in leveraging our CRM system to optimize customer communication, personalize experiences, and contribute to overall customer satisfaction and retention. What the Candidate Will Do Develop and execute customer engagement strategies leveraging our CRM platform. Design and implement targeted customer communication campaigns across various channels (email, in-app, etc.). Create compelling and relevant content (e.g., email templates, knowledge base articles, social media snippets) to enhance customer interactions. Segment customer data to personalize communication and deliver relevant messaging. Monitor and analyze CRM data to identify trends, opportunities for improvement, and measure campaign effectiveness. Collaborate with sales, marketing, and support teams to ensure a cohesive customer journey. Maintain and optimize the CRM database for accuracy and efficiency. What the Candidate Will Need 2+ years of experience in CRM & customer engagement related roles. Experience working in a Fast Paced, Ambiguous work environment. Proven experience in a CRM-focused role. Strong understanding of customer engagement principles and strategies. Excellent written and verbal communication skills. Proficiency in content creation for various digital channels. Analytical skills with the ability to interpret data and generate actionable insights. Ability to work independently and collaboratively within a team.

About the Role The Core Analytics & Science Team (CAS) is Uber's 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 Uber's 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 Uber's 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 the Candidate Will Need / Bonus Points - What the Candidate Will 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. - Basic Qualifications - Undergraduate and/or graduate degree in Math, Economics, Statistics, Engineering, Computer Science, or other quantitative fields. 4+ 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 (i.e. Tableau, Mixpanel, Looker, or similar) - Preferred Qualifications - Proven aptitude toward Data Storytelling and Root Cause Analysis using data Ability to learn and adapt to new methodologies for data collection and analysis Ability to deliver on tight timelines and prioritise multiple tasks while maintaining quality and detail Ability to work in a self-guided manner Ability to mentor, coach and develop junior team members Superb communication and organisation skills

About the Role The Core Analytics & Science Team (CAS) is Uber's 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 Uber's 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 Uber's 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 the Candidate Will Need / Bonus Points - What the Candidate Will Do - Refine ambiguous questions and generate new hypotheses and design ML based solutions that benefit product through a deep understanding of the data, our customers, and our business Deliver end-to-end solutions rather than algorithms, working closely with the engineers on the team to productionize, scale, and deploy models world-wide. Use statistical techniques to measure success, develop northstar metrics and KPIs to help provide a more rigorous data-driven approach in close partnership with Product and other subject areas such as engineering, operations and marketing Design experiments and interpret the results to draw detailed and impactful conclusions. Collaborate with data 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. Present findings to senior leadership to drive business decisions - Basic Qualifications - Undergraduate and/or graduate degree in Math, Economics, Statistics, Engineering, Computer Science, or other quantitative fields. 4+ years experience as a Data Scientist, Machine learning engineer, or other types of data science-focused functions Knowledge of underlying mathematical foundations of machine learning, statistics, optimization, economics, and analytics Hands-on experience building and deployment ML models Ability to use a language like Python or R to work efficiently at scale with large data sets Significant experience in setting up and evaluation of complex experiments Experience with exploratory data analysis, statistical analysis and testing, and model development Knowledge in modern machine learning techniques applicable to marketplace, platforms Proficiency in technologies in one or more of the following: SQL, Spark, Hadoop - Preferred Qualifications - Advanced SQL expertise Proven track record to wrangle large datasets, extract insights from data, and summarise learnings/takeaways. Proven aptitude toward Data Storytelling and Root Cause Analysis using data Advanced understanding of statistics, causal inference, and machine learning Experience designing and analyzing large scale online experiments Ability to deliver on tight timelines and prioritise multiple tasks while maintaining quality and detail Ability to work in a self-guided manner Ability to mentor, coach and develop junior team members Superb communication and organisation skills

About the Role Platform Engineering is looking for an Executive Assistant Business Partner to provide complex executive support to the organization's leaders based in India. This role will provide high-level administrative and program support across various technical teams. Knowledge of the complexities of technical teams are essential to the success of this role. The team is looking for a dynamic EABP who is always willing to learn and fully immerse themselves within the team. The ideal candidate is someone who is willing to go beyond the day-to-day responsibilities of an Executive Assistant and demonstrate the ability to contribute to a complex team as a Business Partner - attending meetings, taking notes, planning events, while also collaborating with a complex team of EABPs, Program Managers, Product Managers, Data Scientists, Engineers, and other stakeholders across the company. What the Candidate Will Do Manage complex calendars using Google Calendar including vetting, prioritizing, and providing recommendations Help ensure leader is properly prepared and on time for all meetings Assist with the scheduling of multiple stakeholder meetings Contribute to leadership meetings by taking notes and tracking action items Navigate a complex conference room landscape Assist with event planning and coordination for team meetings, all-hands meetings, summits, and QBRs Make domestic and international travel arrangements and process travel expense reports based on direction from traveler Draft detailed travel itineraries and provide remote assistance with logistics and travel arrangements with input from traveler, including visa processing Follow up and provide reminders on project deadlines, AIs, and deliverables Assist with ensuring the timely review and submission of expenses May assist with facility/space planning logistics May preview and provide feedback regarding team expense reports, and assist with running leader's or team's morale budget May work on other tasks and projects as assigned Work closely with Lead EA when Executive Leader is in town Basic Qualifications Minimum 4+ years of administrative experience preferred for EABP I role Minimum 2+ years experience supporting a VP-level leader or above in any scoped business or a Director-level leader or above in a global business for EABP I role Advanced Google Suite experience (Mail, Calendar, Docs, Sheets, Slides, Groups) Managing heavy complex calendars, cadences, team meetings, and planning cadences Follow up and execution of action items with little to no direction Management of Google Groups and distribution list maintenance

About the Role The Core Analytics & Science Team (CAS) is Uber's 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 Uber's 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 Uber's 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 the Candidate Will Need / Bonus Points - What the Candidate Will 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. - Basic Qualifications - Undergraduate and/or graduate degree in Math, Economics, Statistics, Engineering, Computer Science, or other quantitative fields. 4+ 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 (i.e. Tableau, Mixpanel, Looker, or similar) - Preferred Qualifications - Proven aptitude toward Data Storytelling and Root Cause Analysis using data Ability to learn and adapt to new methodologies for data collection and analysis Ability to deliver on tight timelines and prioritise multiple tasks while maintaining quality and detail Ability to work in a self-guided manner Ability to mentor, coach and develop junior team members Superb communication and organisation skills

About The Role In the APAC Analytics & Insights team, we collaborate with Community Operations managers across the region to enhance the customer experience. The analyst plays a critical role in generating insights from customer support data-pinpointing key concerns, identifying gaps in existing processes, and empowering stakeholders to make data-backed decisions that improve customer experience and deliver business value through a smoother, more effective support journey. Your Impact In Role Translate business problems into analytical solutions by writing efficient SQL queries to extract and analyse relevant data. Conduct root-cause analysis to uncover drivers of customer support interactions and identify gaps across processes, products, or operations. Identify opportunities to enhance the customer experience and provide stakeholders with data-driven insights to drive long-term improvements. Build and maintain dashboards to monitor KPIs, surface trends, and highlight anomalies requiring stakeholder attention. Deliver actionable insights through clear, compelling storytelling that supports strategic decision-making. Foster a collaborative team culture and mentor peers by sharing knowledge The Experience You'll Bring Strong business acumen and the ability to translate business questions into analytical solutions Expertise in data querying and manipulation using SQL Proficiency in Python for data analysis and automation tasks Experience with data visualization and dashboard creation using Looker studio and Tableau Strong skills in G-Suite tools Proven experience in stakeholder management and presenting insights Excellent communication skills and a flair for data-driven storytelling Self-starter with a proactive approach to identifying opportunities for improvement Preferred Qualifications Background in Statistics or strong understanding of statistical methods Experience in A/B testing or Experimentation setups Advanced proficiency in Python with a strong ability to debug and resolve errors in fast-paced environments.

About The Role We are looking for a strong, action-oriented operations manager to join the Mobility team in South India to help us turbocharge our regional growth bets and enhance driver experience on the platform. At Uber, the Regional Operations team is at the heart of our business, driving performance and innovation on the ground. It is the frontline team ensuring seamless execution of strategies, solving complex challenges, and enabling growth in our cities. From optimizing marketplace dynamics to enhancing driver and rider experiences, our work directly impacts millions of lives every day. What The Candidate Will Do Supply Growth - Lead efforts to drive supply growth by identifying and developing scalable supply acquisition channels. Design, implement, and optimize operational processes, leveraging automation to enhance efficiency and support sustainable business growth. Data Analysis - Analyze qualitative and quantitative data to understand driver behavior and trends. Translate insights into actionable strategies to improve driver experiences, optimize performance, and strengthen supply retention. Project management and problem-solving - Identify and address city-specific supply challenges by leveraging data-driven analysis and operational expertise. Plan, execute, and manage multiple initiatives across cities, ensuring excellence in a dynamic environment. Stakeholder management and teamwork - Cultivate and maintain strong relationships with cross-functional teams, including marketplace, marketing, and product, to align on goals and drive impactful strategies that contribute to the long-term growth of the business What The Candidate Will Need 2+ years of experience in Operations / Consulting / Supply Chain / Strategy experience with the ability to take initiative in a constantly changing work environment. Naturally curious and motivated to solve problems, however complicated or ambiguous they may be. Ability to understand root cause elements, break down complexities, and create a structured approach and design workstreams to achieve the objective. Data-driven decision-making mentality and sound business judgment through strong analytical thinking and experimentation. SQL knowledge is a plus.

About The Role Uber's People Partner team works to ensure that our global employee population has the support they need through the employee lifecycle. Based around the world, we are the front-face of HR to Uber's employees and work closely with the HRBPs to provide support to all functional areas. Additionally, the People Partners align with HR initiatives and projects, thinking globally and acting locally to ensure employees across Uber can focus on the work they were hired to do! What You'll Do Provide support to employees and leaders in the business: coaching on performance management, accommodations, business conduct, policies, and other HR-related topics Analyze data from various daily activities and projects to identify patterns and trends that can help create, improve processes, or identify areas of concern Through your commercial knowledge and data driven mindset, identify people-related trends, pain points and opportunities. Partner with your cross functional teams on larger projects and organizational changes Identify and execute on continuous improvement of HR programs and processes to enhance the overall employee and manager experience Provide support to the various functions areas during the performance review lifecycle by contributing to the talent reviews, talent assessment, and follow-ups Own and strengthen key partnerships on behalf of the team (with other People COEs: Benefits, ER, People Operations, People Systems, Analytics, HRBPs) Facilitate the adoption and continuous improvement of HR programs, policies, and processes to improve the enablement and experience of employees and managers Help implement local legal requirements related to awards, compensation, working hours etc ensuring we reduce legal risk, and maintain regulatory compliance by partnering with the business leaders and HRBPs, identify training needs for business units and individual executive guidance needs Complete processes and project work to maintain compliance in your region or function Basic Qualifications Bachelor's degree in HR or equivalent applicable experience preferred Ideally 4-6 years experience in an HR role or related work experience preferred Preferred Qualifications Resourceful, creative, self-starter - ready to roll up their sleeves Passionate about making an impact and about people-related outcomes Able to swiftly build credibility with senior stakeholders and influence decisions based on both qualitative and quantitative (i.e., storytelling with data) information Solid judgement and problem solving skills, integrity, and ability to maintain confidentiality

About The Team FinTech is a part of the CFO's organization and responsible for innovating and building the best financial products & systems in the world. Our DNA is customer obsession, top-quality products, collaboration, and clarity. FinTech works closely with Finance & business operations to build applications and solutions to enable critical accounting, finance business processes at Uber. We use industry best practices in Financial and Accounting systems, applying them to our complex global business operations. We provide systems for compliance, data reliability, audit and ensure timely availability of business critical data. This group is on the critical path to enable Uber to become a world class business operation and at the cutting edge of operational excellence. As a Product Manager II - Finance and Tax you will envision and craft a financial product roadmap to build world class Products working with Corporate Finance, Global Tax, Global Reporting and Compliance and Engg Teams at Uber. You will partner with other FinTech & Finance leaders to perform systems analysis and implement 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, Tax, Engineering, Accounting, Finance and Operations. What You Will Do This role is a unique opportunity mix of technology, consulting and product development and project management. The role will require deep technical skills and experience and need close collaboration with Tax, Finance and other partner teams to get a deep understanding of the processes and data flows. Product Development: Lead the creation and evolution of a high-quality AI performance evaluation and quality check platform. Develop and simulate conversations to evaluate AI models against real-world conditions, identify performance gaps, and iterate to improve accuracy and customer experience. Develop and communicate a clear product vision and strategy aligned with business goals, financial objectives, ERP capabilities, and market trends (including AI/LLM potential)Product Ownership: Own the end-to-end product lifecycle by understanding customer pain points, defining product requirements, managing development and testing, and successfully launching scalable evaluation tools. Translate strategy and business requirements (especially from Finance) into actionable user stories, epics, and acceptance criteriaIdentify and evaluate opportunities to leverage AI/LLMs for automation, analytics, and enhanced functionality within finance/ERP workflowsEvaluation Frameworks: Design automated and human-centric evaluation frameworks that adhere to industry best practices, ensuring robust quality and reliability across AI systems. Cross-functional: Collaborate with Finance , engineering, data science, and LLM labeling operations to build and refine AI evaluation tools, fostering strong team alignment. Strategic Execution: Partner with executive leaders to determine and execute the product strategy, ensuring alignment with overall business and AI objectives. Data-Driven Decisions: Use data insights to continuously refine evaluation frameworks, prioritize product features, and optimize AI performance by addressing risks such as hallucinations or inaccuracies. Executive Communication: Present clear and compelling updates on product progress, vision, and impact to senior leaders, securing buy-in and alignment across the organization. What you will need: Experience: At least 4+ years of product management experience, with some experience building enterprise/ SaaS products. Conceptual understanding of ERP systems, their modular structure, and how different business processes (Tax,Finance, Supply Chain, HR, etc.) integrate within them is required. Domain experience: FinanceExperience in consolidating financial data across systems using cloud/SAAS tools such as Financial Accounting Hub. Execution Ability: Demonstrated ability to lead cross-functional teams, prioritize complex roadmaps, and deliver impactful AI tools at scale. Data-Driven Approach: Proficient in analyzing AI performance data, leveraging insights to inform product improvements, and addressing quality gaps like hallucinations. Bachelor's degree in Computer Science, Engineering, or a related field. Advanced degrees in AI/ML or related areas are a plus. Application Awareness: Understanding how AI/LLMs can be applied to solve problems in Finance/ERP (e.g., automation, forecasting, fraud detection) Strong understanding of AI/ML technologies, including LLMs, fine-tuning, prompt engineering, dataset creation, regression testing, and performance metrics. Bonus Points Experience in large scale Oracle Cloud ERP footprint (Oracle GL, EB- Tax, Accounting Hub) Strong experience in Excel, preferred SQL skillsInterest in building products and improving tax reporting and compliance functionsExperience working on knowledge platforms or similar tools or Background in integrating AI technologies into content or knowledge systems. Comfortable working in fast-paced environments with competing priorities. Genuine passion for financial systems and technological developments. At Uber, we ignite opportunity by setting the world in motion. We take on big problems to help drivers, riders, delivery partners, and eaters get moving in more than 10,000 cities around the world. We welcome people from all backgrounds who seek the opportunity to help build a future where everyone and everything can move independently. If you have the curiosity, passion, and collaborative spirit, work with us, and let's move the world forward, together.

---- What the Candidate Will Do ---- Partner with engineers, analysts, and product managers to define technical solutions that support business goals Contribute to the architecture and implementation of distributed data systems and platforms Identify inefficiencies in data processing and proactively drive improvements in performance, reliability, and cost Serve as a thought leader and mentor in data engineering best practices across the organization ---- Basic Qualifications ---- 7+ years of hands-on experience in software engineering with a focus on data engineering Proficiency in at least one programming language such as Python, Java, or Scala Strong SQL skills and experience with large-scale data processing frameworks (e.g., Apache Spark, Flink, MapReduce, Presto) Demonstrated experience designing, implementing, and operating scalable ETL pipelines and data platforms Proven ability to work collaboratively across teams and communicate technical concepts to diverse stakeholders ---- Preferred Qualifications ---- Deep understanding of data warehousing concepts and data modeling best practices Hands-on experience with Hadoop ecosystem tools (e.g., Hive, HDFS, Oozie, Airflow, Spark, Presto) Familiarity with streaming technologies such as Kafka or Samza Expertise in performance optimization, query tuning, and resource-efficient data processing Strong problem-solving skills and a track record of owning systems from design to production

As a Product Manager for Customer Obsession, you will be responsible for the initiatives to improve customer engagement after support interactions across mobile and web for Riders, Drivers, Eaters, and Businesses using Uber. You will be using best-of-breed technologies, and latest machine learning, data science techniques, and design thinking to accomplish this at a scale that has never been done before in the industry. ---- What the Candidate Will Do ---- Lead product strategy and development of the Channels & Routing platform charters Work closely with a substantial global community operations organization to define channel strategies & support entry points for users to reach out to support Work closely with multiple tech teams to define best-in-class contact routing strategies and experiment with a breed of AI/ML technologies Be accountable for the quality of releases, balancing quality vs speed Manage and work with 3rd party products and services that integrate in the Platforms Do competitive research and introduce industry best practices into channels & routing platforms Collaborate with the design team and guide their investments for research, prototyping, experimentation, and overall design thinking Be incredibly truth-seeking. Collect whatever data is vital to advise product direction, whether in the form of competitive intel, rider behavior, or other business metrics. Solicit and welcome critical feedback. Make tradeoff decisions based on technical and business insights and experimentation Supervise and measure launched products and feed insights back into product development process to drive growth Clearly communicate product plans, benefits, and results, as appropriate, to a spectrum of audiences, from internal stakeholders to Uber executives, employees to riders ---- Basic Qualifications ---- A computer science undergraduate degree or other engineering degree equivalent. 5+ years of product experience delivering highly successful and innovative data products or platforms. Data-driven decision-making ability. Design thinking and customer-centric approach to building, experimenting, and iterating products A "driver" personality - constantly pushing toward clarity and delivery while balancing the need for great collaboration. High standards across the board - from your own contributions to the people you work with to the products you work on. Grittiness: You don't hesitate to take initiative and address something hands-on, you persevere when others give up. Passion for Uber's mission and the company's hybrid technology/operations nature. A deep desire to grow and learn. ---- Preferred Qualifications ---- Technically proficient in engineering processes and frameworks, with the ability to constructively challenge technical designs. Actively pursues self-development and growth in this area. Experience with machine learning workflows, AI-powered data products, or advanced analytics tools. Prior experience working in agile product development environments.

Design and build robust, scalable, and maintainable data pipelines that power key analytical and operational workflows Partner with engineers, analysts, and product managers to define technical solutions that support business goals Contribute to the architecture and implementation of distributed data systems and platforms Identify inefficiencies in data processing and proactively drive improvements in performance, reliability, and cost Serve as a thought leader and mentor in data engineering best practices across the organization ---- Basic Qualifications ---- 5+ years of hands-on experience in software engineering with a focus on data engineering Proficiency in at least one programming language such as Python, Java, or Scala Strong SQL skills and experience with large-scale data processing frameworks (e.g., Apache Spark, Flink, MapReduce, Presto) Demonstrated experience designing, implementing, and operating scalable ETL pipelines and data platforms Proven ability to work collaboratively across teams and communicate technical concepts to diverse stakeholders ---- Preferred Qualifications ---- Deep understanding of data warehousing concepts and data modeling best practices Hands-on experience with Hadoop ecosystem tools (e.g., Hive, HDFS, Oozie, Airflow, Spark, Presto) Familiarity with streaming technologies such as Kafka or Samza Expertise in performance optimization, query tuning, and resource-efficient data processing Strong problem-solving skills and a track record of owning systems from design to productio

---- What the Candidate Will Do ---- Design, develop, and maintain robust and scalable software solutions Find opportunities for quality improvements in the search stack and lead the entire development lifecycle end-to-end, from architecture design and coding to testing and deployment ---- Basic Qualifications ---- Bachelor's degree in Computer Science 3+ years of professional experience in software development with a track record of increasing responsibility and impact. Experience with Go and Python programming languages Demonstrated experience developing sophisticated backend systems and longer-term ownership of critical backend services and infrastructure. Bias to action and proven track record of getting things done. ---- Preferred Qualifications ---- Master's degree in Computer Science Big Data: Proficiency building data pipelines. Experience in using PySpark at scale with large data sets. Experience with t