Über jobs in San Francisco, CA - 648 jobs

About the Team Uber is helping transform how businesses run by solving transportation and logistics challenges on a worldwide scale. The solutions we create position us to be the next growth engine for Uber. Our marketing team tells compelling stories to drive awareness and adoption of solutions that change how the business world moves. About the Role We're looking for an expert B2B leader to drive accelerated growth across North America, our largest region. You'll own Marketing's full role in supporting the region-developing local strategies, building category leadership, driving field marketing and demand generation and establishing critical metrics to show contribution to the overall business. To be successful, you'll need to flex between a startup and scale up with a knack for constantly seeing #TheForestfortheTrees. This role will be directly responsible for strategy, planning and execution, partnering closely with the Global GMs and Sales teams. What You'll Do Build and own the strategic marketing plan to shape the brand, drive demand and grow usage across business customers. Build lead generation and account-based-marketing programs to source new leads, support named account lists and engage customers after they're onboarded. Own the events strategy for sponsored and hosted engagements and all higher touch activities including webinars. Influence the development of local content from thought leadership to sales collateral. Partner closely with Sales to align on priorities, enable them to meet their business objectives and regularly review performance. Measure the impact of work by establishing the right metrics, crafting reports and communicating results with leadership and cross‑functional partners. Lead and develop an impactful team of B2B marketing professionals. Be a leader with a point of view who finds new ways to engage with companies and establish Uber as a key business partner. Basic Qualifications Minimum 15 years of experience in a B2B marketing role owning regional or global growth targets. Expertise in partnering with sales teams to drive leads, accelerate pipeline and deliver revenue. Excellent verbal and written communication, and cross‑functional skills to collaborate with Marketing, Sales and Product teams. Strategic mentality including the ability to see and communicate the big picture in a way that inspires your team and others. Ability to influence and bring others together to achieve goals. Analytical with a data‑driven mentality and experience reporting results across the business. A passion for building teams, developing people and creating strong culture. Preferred Qualifications Expertise in B2B tech including Marketo and Salesforce. Experience building and launching above‑the‑line brand campaigns. Proven ability to represent the business and Marketing in public forums. For New York, NY-based roles: The base salary range for this role is USD$230,000 per year - USD$255,500 per year. For San Francisco, CA-based roles: The base salary range for this role is USD$230,000 per year - USD$255,500 per year. For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at the following link ************************************** Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real‑world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together. Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form. Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green‑light hubs, employees are expected to be in‑office for 100% of their time. Please speak with your recruiter to better understand in‑office expectations for this role. #J-18808-Ljbffr

What is Uber? Submit your CV and any additional required information after you have read this description by clicking on the application button. Driving with Uber is an alternative to a part-time or full-time job and can get you earning cash on the road quickly. Driving with Uber allows you to earn quick cash while maintaining the flexibility your schedule requires (gig, part-time, full-time, seasonal, hourly, or temporary) Why Drive With Uber?: Receive your earnings fast: With Uber, you can cash out your earnings up to 5 times a day with Instant Pay. You are your own boss: You decide how much or little you want to drive and earn. Dont have a car? Uber has rental partners available that allow you to rent a car by the hour, day, or week. Signing up only takes a few minutes: We'll provide support along the way and get you on the road as soon as your registration is processed. Requirements to Drive: Meet the minimum age to drive in your city Have at least one year of licensed driving experience in the US (3 years if you are under 25 years old) Use an eligible 4-door vehicle You consent to driver screening and background check You have an iPhone or Android smartphone Vehicle Requirements vary by region, well show you what is needed Additional Information: If you have previous employment experience in transportation (such as a delivery driver, driver, professional driver, driving job, truck driver, heavy and tractor-trailer driver, cdl truck driver, class a or class b driver, local truck driver, company truck driver, taxi driver, taxi chauffeur, cab driver, cab chauffeur, taxi cab driver, transit bus driver, bus driver, coach bus driver, bus operator, shuttle driver, bus chauffeur) you might also consider driving with Uber to earn extra money. We also welcome drivers who have worked with other peer-to-peer ridesharing or driving networks. Drivers using the Uber platform come from all backgrounds and industries ranging from traditional driving and transportation industries to other industries. No professional driving experience required. Driving with Uber is a great way to supplement your part time or full time income. Additional Documents to Drive A valid US Drivers license Proof of residency in your city, state, or province Proof of vehicle insurance if you plan to drive your own vehicle *Depending on your city or state, additional documentation or information may be required. Our support team is available 24/7 to help you answer any questions you may have about registration. xevrcyc Remote working/work at home options are available for this role.

A leading mobility platform seeks a Data Analytics professional in San Francisco, California. In this role, you will provide data insights and manage reporting for advertisers, aiming to improve their performance. The ideal candidate should have over 4 years of experience in data analytics or related fields, proficiency in SQL and Python, and a Bachelor's degree in a quantitative subject. This position offers a competitive salary range of $135,000 - $150,000, alongside various benefits and bonus eligibility. #J-18808-Ljbffr

About the Role The Courier Pricing team sits within Uber's Delivery Marketplace org and plays a key role in shaping pricing across food, grocery, and other delivery verticals. We work closely with cross-functional teams to develop scalable pricing products that keep our marketplace efficient, reliable, and ready to grow. As a Sr Staff Machine Learning Engineer, you'll build a world-class pricing system that efficiently prices every offer made to Uber's delivery partners-impacting hundreds of millions of consumers and millions of merchants worldwide. What You Will Do Technical Leadership & Innovation Lead the design and implementation of advanced ML systems for courier pricing algorithms serving millions of couriers Own end-to-end ML model lifecycle from research through production deployment and continuous optimization Platform & Architecture Build scalable ML architecture and feature management systems supporting Courier Pricing and broader Marketplace teams Design experimentation frameworks enabling rapid testing of pricing algorithms using A/B, Switchback, Synthetic Control, and other experimental methodologies Establish ML engineering best practices, monitoring, and operational excellence across the organization Create platform abstractions that enable other ML engineers to iterate faster on pricing algorithms Cross-Functional Impact Collaborate with Marketplace Engineering and Science teams to productionize cutting-edge ML research Work with Platform Engineering teams to ensure ML systems meet reliability and performance standards Influence technical roadmaps across multiple teams through technical leadership and strategic thinking Team Development Mentor and grow senior ML engineers, establishing technical standards and engineering culture Lead technical discussions and architecture reviews for complex ML systems Basic Qualifications PhD in Computer Science, Machine Learning, Operations Research, or related quantitative field OR Master's degree with 12+ years of industry experience 10+ years of experience building and deploying ML models in large-scale production environments Expert-level proficiency in modern ML frameworks (TensorFlow, PyTorch) and distributed computing platforms (Spark) Deep expertise across multiple areas including: Deep Learning, Causal Inference, Reinforcement Learning, Multi-objective Optimization, and Algorithmic Game Theory Proven track record of leading complex ML projects from research through production with significant measurable business impact Strong programming skills in Python, Java, or Go with experience building production ML systems Experience with feature engineering, model serving, and ML infrastructure at scale (handling millions of predictions per second) Technical leadership experience including mentoring senior engineers and driving cross-team technical initiatives Preferred Qualifications Marketplace or two-sided platform ML experience with understanding of supply-demand dynamics and pricing mechanisms Publications or patents in applied machine learning, particularly in areas relevant to optimization, pricing, or marketplace dynamics Experience with causal inference methodologies and their application to business problems with network effects Reinforcement learning experience in production environments with long-term optimization and strategic agent considerations Technical leadership experience including mentoring senior engineers and driving cross-team technical initiatives Experience with real-time ML systems requiring low-latency inference and high-throughput model serving Background in economics, operations research, or related quantitative disciplines with application to marketplace problems For San Francisco, CA-based roles: The base salary range for this role is USD$257,000 per year - USD$285,500 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD$257,000 per year - USD$285,500 per year. For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at the following link ************************************** Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together. Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form. Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role. #J-18808-Ljbffr

About the Role Uber Advertising's Measurement Science team is looking for an analytical and strategic problem solver to partner with Sales in order to improve the performance of advertisers on Uber, helping to achieve our revenue targets. We see this role as a key member of our insight and analytics offering within the fast-growing, revenue‑driving Uber Advertising division. You will collaborate closely with partners across multiple functions, including Sales, Strategy, Marketing, Product, Creative, and more to analyze quantitative and qualitative data, draw out useful insights, and improve our advertisers' performance on Uber Eats or Mobility (Uber Rides) surfaces. Uber is the largest mobility and delivery platform in the world, with billions of insights from millions of users. Thereby, you will have access to our unique Uber data set, and be expected to translate it into high‑quality, actionable insights that will improve the effectiveness of our advertiser's campaigns and unlock new business opportunities. What You'll Do Data insights and analysis - Manage post‑campaign reporting and insights for all advertisers across assigned book of business Deliver regular and bespoke analyses and insights for some of the world's largest advertisers to drive growth across advertiser KPIs and help them grow their businesses with Uber Exhibit deep analytical ability, and develop great expertise in Uber's proprietary metrics, working to constantly evolve how we analyze and communicate data‑driven insights to our advertisers Advocate for country and regional needs - Establish deep understanding of the local needs and nuances by partnering with local Account Executives, Account Managers and Merchant Operations teams You'll be mapped to high‑priority and high‑revenue driving clients, delivering white‑glove service Basic Qualifications 4+ years experience in data analytics, data science, measurement and insights, advertising, AdTech, consulting or similar industries Proficiency using SQL, Python or similar analytics program Bachelor's degree, preferably in mathematics, statistics, economics, computer science, operational research or similar quantitative field Preferred Qualifications 6+ years experience in data analytics, data science, measurement and insights, advertising, AdTech, consulting or similar industries Experience working with large CPG customers in a digital advertising organization Intermediate to advanced skills in data analysis (e.g. MS Excel / Google Sheets / Python), story‑telling (e.g. providing actionable insights based on analysis), advanced data querying (e.g. SQL), leveraging data visualization tools (e.g., Looker, Google Data Studio, Tableau) Experience with marketing / advertising measurement, analytics, and reporting within an advertising agency/consulting Experience with online advertising, targeting and measurement systems and methodologies (ad servers, DSPs, DMPs, etc.) Experience with 3rd‑party measurement studies (brand lift, sales lift, foot‑traffic, etc.) Well‑versed in advertising technology, including 3rd‑party ad‑serving and tag management solutions and programmatic ad‑buying platform Experience with A/B and multivariate test design and implementation and statistical concepts For Chicago, IL‑based roles: The base salary range for this role is USD$122,000 per year - USD$135,500 per year. For New York, NY‑based roles: The base salary range for this role is USD$135,000 per year - USD$150,000 per year. For San Francisco, CA‑based roles: The base salary range for this role is USD$135,000 per year - USD$150,000 per year. For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at the following link Uber Benefits. Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real‑world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together. Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form. Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green‑light hubs, employees are expected to be in‑office for 100% of their time. Please speak with your recruiter to better understand in‑office expectations for this role. #J-18808-Ljbffr

A leading technology company is seeking a Senior Staff Machine Learning Engineer to lead the development of advanced ML systems for courier pricing. The role demands extensive experience in building and optimizing ML models, strong technical leadership, and collaboration with cross-functional teams. Ideal candidates will possess a PhD or a Master's with significant industry experience. This position offers a competitive salary range of $257,000 - $285,500, along with eligibility for bonuses and various benefits. #J-18808-Ljbffr

About the Role The AI Strategy & Governance lead for Finance will be a pivotal leader within the Finance organization, responsible for communicating and driving the adoption of our artificial intelligence strategy. This role is at the nexus of finance, technology, and strategic change, aiming to revolutionize our financial operations and decision‑making capabilities. You will be responsible for articulating a comprehensive AI roadmap that transforms core finance functions-including financial planning and analysis (FP&A), accounting, finance operations, tax and compliance. A key aspect of this role is ensuring that AI‑powered solutions are successfully adopted, and embraced by the entire finance team, from analysts to the executive suite. You will act as the central point of coordination for all AI initiatives within Finance, ensuring alignment with executive vision and driving measurable business value. What the Candidate Will Do: Executive Communication Work with Finance Technology leaders to develop and communicate the comprehensive AI vision and strategy for the Finance organization, ensuring it aligns with the company's broader strategic and financial objectives. Translate complex AI concepts and the finance AI strategy into clear, compelling narratives for executive leadership, stakeholder presentations, and company‑wide communications. Act as the primary liaison to company Gen AI Steering Committees, providing regular updates on program progress, key milestones, and strategic alignment. Lead the AI champion forum, a cross‑functional team of Finance tech forward thinkers. Prepare and deliver high‑impact presentations and reports on AI initiatives, program ROI, and adoption metrics to the CFO and other senior executives. Manage all aspects of communication related to AI and digital enablement for the Finance Technology area. Governance Organize and lead strategic AI in Finance meetings, including setting the vision, developing the agenda, and ensuring productive outcomes. Coordinate all content and presentations for AI‑related forums, working with internal presenters from across Finance and Technology, as well as external partners and industry experts. Establish and manage a systematic process to source, evaluate, and prioritize AI use cases from across the Finance department, acting as the key funnel into the Finance Technology development pipeline. Manage governance framework with executive leaders to facilitate resource and funding needs to address AI needs. Organize and meticulously track all follow‑ups and action items from meetings, ensuring accountability and momentum across all AI initiatives. Adoption & Training Lead the development and execution of a comprehensive Learning & Development (L&D) program to build AI literacy and proficiency across the Finance organization. Drive the creation and curation of training content, tooling, and practical use case examples to empower finance professionals to leverage AI effectively in their daily roles. Champion a culture of innovation and continuous improvement by designing and implementing a robust strategy to drive the adoption of new AI tools and processes. Partner with finance leaders and managers to embed AI into team workflows, identify and overcome barriers to adoption, and celebrate successes to build momentum. Basic Qualifications: Bachelor's degree in Finance, Accounting, Business, or a related field, or equivalent practical experience. Significant experience in a strategic role within a corporate finance department or in management consulting with a focus on digital enablement and AI. Exceptional communication, presentation, and storytelling skills, with a proven ability to influence and inspire at all levels of an organization. Demonstrated experience leading large‑scale, cross‑functional programs and managing relationships with senior‑level stakeholders. AI power user with a passion for emerging technology and a strong, informed perspective on the application of AI and Gen AI in the finance domain. Preferred Qualifications: Advanced degree (MBA, Master's in Finance or a related quantitative field). Proven experience in a role focused on technology implementation, change management, or learning and development within a finance context. Understanding of core finance processes, financial systems (e.g., ERP, EPM), and the financial data lifecycle. Experience in a role that required collaboration with technical teams (e.g., Data Science, IT, Engineering) to deliver technology solutions. For San Francisco, CA‑based roles: The base salary range for this role is USD$212,000 per year - USD$235,500 per year. You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at the following link ************************************** Uber is proud to be an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form- *************************************************************************************************** #J-18808-Ljbffr

**About the Role** The Uber Eats team is looking for sharp, highly motivated individuals to join our Global Delivery Partnerships team with a focus on managing and expanding relationships with our largest global restaurant partners such as RBI, Domino's, and Starbucks. As a Global Account Executive, you will be responsible for building new commercial partnerships and renegotiating existing agreements that define how these iconic QSR brands leverage Uber Direct's white-label delivery solutions. Who are we looking for? Someone who has proven success negotiating commercial agreements, building best-in-class partnerships with complex brands, and developing deep executive-level relationships; this person is also passionate about food and Uber, and thrives in a fast-paced, cross-functional environment. Your primary focus will be working with our restaurant partners and internally across Product, Engineering, Marketing, Operations, Legal, and Finance to develop shared goals and strategies to grow and optimize our partnerships in the US and across mega-regions. **What You'll Do** + Build relationships with C-level executives and key decision makers within partner organizations + Develop and execute partnership strategy to achieve quarterly growth goals + Expand product adoption and increase marketing investment, clearly communicating the value of our newest products with a lens of creativity to differentiate our offerings + Employ critical thinking and creative problem-solving skills to navigate negotiations and difficult partner conversations + Handle the big picture and the tiny details. You are organized, timely and ensure nothing gets missed; you are also attuned to high-level strategy and consistently come up with new ways to add value to existing partnerships + Partner with cross-functional teams. Be the voice of the customer and seamlessly navigate internal processes with stakeholders from various teams such as Product, Engineering, Marketing, Operations, Legal, Finance, and more + Bring your analytical A-game. Develop business models and analyses with Ops Analysts to understand trends, provide meaningful insights, and track the impact of initiatives against our goals **Basic Qualifications** + Minimum of 8 years of full-time experience in end-to-end Enterprise sales and/or partnerships **Preferred** **Qualifications** + Experience leading conversations with executive-level external stakeholders + Experience selling into or working with large, complex enterprise brands and organizations + Experience with food delivery and/or third-party marketplaces at a high-growth tech company + Experience working in ads sales, marketing, operations, business development or partnerships at a leading restaurant or CPG brand + Experience building and executing strategic sales plans that result in success + Ability to flex your analytical skills and utilize data to quantify opportunities and influence decision makers + Excellent listening, communication, and organizational skills + Excellent negotiation, forecasting, and problem solving skills + Speed, resourcefulness, and a go-getter mentality. You are comfortable working in a fast-paced environment and navigating ambiguity + Collaborative leadership. You can't help but dig in tactically, flexing your analytical skills where needed, and are equally as comfortable leading a conversation with an Engineer, Product Manager, or C-level executive to secure buy-in + Coachability, interest in implementing feedback, and dedication to the improvement of your craft and our team's development + Bachelor's Degree or equivalent For Chicago, IL-based roles: The base salary range for this role is USD$131,000 per year - USD$145,000 per year. For Los Angeles, CA-based roles: The base salary range for this role is USD$131,000 per year - USD$145,000 per year. For New York, NY-based roles: The base salary range for this role is USD$145,000 per year - USD$161,000 per year. For San Francisco, CA-based roles: The base salary range for this role is USD$145,000 per year - USD$161,000 per year. For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award, sales bonuses & other types of comp. You will also be eligible for various benefits. More details can be found at the following link ************************************** Uber is proud to be an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form- ***************************************************************************************************

#### About the Role This role sits within Uber's Mobility Marketplace team, focusing on pricing and incentives. The team optimizes pricing and incentives to balance the market, maximize revenue, and adapt dynamic trip pricing to marketplace conditions. You'll work on some of Uber's most strategic marketplace challenges at a global scale, directly impacting the business. #### What You Will Do * Build and scale a high-performing team by attracting top talent and refining team structure. Mentor and coach ICs and managers for both technical and leadership growth. * Lead ML modeling teams responsible for large-scale applied machine learning in forecasting and optimization. * Shape long-term product and technical vision for the mobility marketplace. * Collaborate cross-functionally with Data Science, Product, and Business to drive technical direction in systems and modeling frameworks. * Define and influence product strategy and roadmap in partnership with Product and Business teams. * Communicate vision effectively, representing engineering in leadership forums and strategic discussions. * Translate strategy into execution with practical quarterly OKRs. * Drive operational excellence by establishing metrics for product and engineering performance. #### Job Requirements * Collaborate with marketplace teams (e.g., rider pricing, matching) and cross-functional orgs (platform, earner teams). * Drive innovation and investigate open problems in marketplace optimization. * Present team initiatives in leadership forums. #### Basic Qualifications * MS/PhD in Computer Science or equivalent experience. * 10+ years of software development experience. * 3+ years of experience as a people manager. * Proven ability to work in and contribute to cross-functional teams. * Experience leading teams managing production optimization systems (e.g., recommendation, search). * Strong analytical skills. * Hands-on experience with ML and optimization systems. #### Preferred Qualifications * Strong organizational skills with experience in large, cross-functional teams. * Excellent problem-solving, critical thinking, and communication skills. * Deep understanding of CS fundamentals, software engineering principles, and development methodologies. * Experience managing managers. * Experience deploying ML technologies into products. * Strategic thinker with a track record of driving technical and organizational innovation. For San Francisco, CA-based roles: The base salary range for this role is USD$257,000 per year - USD$285,500 per year. You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at the following link [****************************************************************************** Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together. Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing [this form](************************************* Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

**About the Role** Merchant Product Operations collaborates with operations, product, and other partners to strategize and deliver products that tackle our toughest operations problems on a global scale. You will work with our eligibility team to expand solutions for Merchants and our ops partners globally! **What the Candidate Will Need / Bonus Points** ---- What the Candidate Will Do ---- 1. Define the operating structure and processes to implement on product strategy 2. Lead a community of strategic leaders to encourage significant impact to the business 3. Maintain regular communications with key team members across the org 4. Ensure functional partners are aligned on key objectives for the program/product 5. Advise product teams on the global feasibility of products throughout the product life cycle 6. Develop an end-to-end product rollout plan, and project-manage implementation 7. Collaborate with key team members (legal, tax, policy, support, etc) to prepare products for launch 8. Track core business metrics related to the product 9. Identify key problem areas and/or geographies impacted by the product post-launch 10. Surface and advocate for key insights from the business to advise product improvement ---- Basic Qualifications ---- 1. Bachelors Degree 2. 3+ years experience in Program Management, operations, business consulting, finance or similar analytical role 3. Excellent communication, the ability to engage internal and external customers 4. Deep understanding of the merchant experience 5. Ability to leverage data to inform and support critical decisions 6. Strategic alignment, able to bring key stakeholders across functions together 7. A desire to learn, highly motivated self-starter, with an eagerness to learn and grow 8. Ability to foster collaboration and facilitate teamwork 9. Effective prioritization ---- Preferred Qualifications ---- 1. SQL proficiency 2. Deep analytical expertise 3. Prior experience working on global projects, or in an international setting 4. Integration experience For New York, NY-based roles: The base salary range for this role is USD$140,000 per year - USD$156,000 per year. For San Francisco, CA-based roles: The base salary range for this role is USD$140,000 per year - USD$156,000 per year. For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at the following link ************************************** Uber is proud to be an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form- ***************************************************************************************************

A technology company in San Francisco is looking for a Security Engineering Manager to lead a team dedicated to securing systems and enhancing infrastructure protection. You will oversee the implementation of advanced security solutions while fostering team development and addressing security risks. A Bachelor's or Master's in Computer Science or Engineering and extensive experience in software engineering is required. The salary range is USD$223,000 to USD$248,000 per year. #J-18808-Ljbffr

A global technology company in San Francisco seeks a Principal Engineer to lead the development of AI-driven developer tools. This senior role involves architecting long-term strategies, influencing cross-functional projects, and driving significant improvements in engineering efficiency. Candidates should have over 15 years of experience in software engineering, demonstrated technical leadership, and expertise in applying AI to enhance productivity. This role offers a competitive salary in a dynamic tech environment. #J-18808-Ljbffr

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. We're looking for a bold, imaginative Senior Product Designer to help shape the evolution of the Lyft Rider experience. As part of the Rider Core Experience team you'll lead design for high-impact app experiences that are central to Lyft's growth and success. You'll drive design strategy and execution across initiatives focused on rider conversion, retention, and service excellence within the Lyft app - and guide the work of other designers on the team to bring these experiences to life. This role is for someone who thrives in ambiguity, rapidly prototypes concepts, and champions ideas that challenge conventional thinking. You'll help define what transportation should feel like tomorrow, creating experiences that set new industry standards. Your work will fuel Lyft's growth by uncovering overlooked opportunities and turning untapped audiences into loyal riders. We're looking for someone who champions a customer-first mindset and thrives in a fast-moving, ever-evolving environment. You're experienced across the full product design lifecycle - from shaping early ideas to refining the details that ship. You'll use your craft, systems thinking, and product intuition to lead high-impact work across key parts of the Rider experience. The Opportunity As a Senior Product Designer on Lyft's Rider Core Experience team, you'll shape how riders discover, evaluate, and choose between different ride options across the Lyft app. This role sits at the heart of our Offerings experience-where pricing, service differentiation, personalization, and feedback signals come together to help riders find the right ride for every moment. We're looking for a visionary designer who sees ambiguity as opportunity. You'll identify key friction points in the ride selection and service experience, anticipate evolving rider expectations, and design intuitive, trustworthy experiences that turn everyday transportation decisions into long-term loyalty. The ideal candidate is a self-starter who spots untapped potential early, challenges existing patterns with strong user empathy, and thrives on fast-moving, cross-functional teams. You'll rapidly prototype and test new concepts, validate hypotheses with data and research, and iterate based on real-world insights-while aligning product, engineering, data science, and research partners around a clear design vision. This role offers the autonomy to shape where Lyft's ride offerings go next, the support to pursue bold ideas, and the opportunity to see your work ship at scale across millions of riders. Responsibilities: Lead the conceptualization and design of rider experiences and across the Lyft rider experience. Develop deep empathy for undiscovered user needs through immersive research, trend analysis, and intuitive market sensing to inform breakthrough experiences Quickly generate, test, and iterate on multiple concepts simultaneously, embracing calculated risks and learning from both successes and failures Anticipate market shifts before they happen and proactively design solutions that position Lyft ahead of emerging trends and behaviors Rally product managers, engineers, researchers, and executives around ambitious visions, inspiring teams to pursue transformative opportunities Pivot gracefully between strategic thinking and hands-on delivery as conditions evolve, demonstrating flexibility without compromising quality Connect design decisions directly to business outcomes, with a keen understanding of how your work drives key metrics and unlocks new revenue streams Experience: 6+ years of experience working in UX, UI, HCI related field with experience working on web and mobile design Experience working with a lean team of Engineers, Product Managers and Program Managers Experience designing innovative products for desktop and mobile Excellent oral and written communication skills Experience with user research methods and analysis Expertise with Figma and other prototyping tools Excellence in design craft Ability to work with a low-ego, highly collaborative, cross-functional team Excited about working in a fast-paced, dynamic startup environment Even if you don't directly have the skills above, please consider applying. We know talent takes many different shapes. Benefits: Great medical, dental, and vision insurance options with additional programs available when enrolled Mental health benefits Family building benefits Child care and pet benefits 401(k) plan to help save for your future In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible Subsidized commuter benefits Lyft Pink - Lyft team members get an exclusive opportunity to test new benefits of our Ridership Program Lyft is an equal opportunity employer committed to an inclusive workplace that fosters belonging. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, age, genetic information, or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law. Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule - Team Members will be expected to work in the office 3 days per week on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid The expected base pay range for this position in the San Francisco area is $148,000 - $185,000, not inclusive of potential equity offering, bonus or benefits. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.

The Financial Risk Management SOX Assurance team plays a critical role in safeguarding Uber's financial integrity and ensuring compliance with the Sarbanes-Oxley Act. As a member of this team, you will be at the forefront of protecting the company's financial data and maintaining the trust of our stakeholders. You will work to assess, evaluate, and improve internal controls related to financial reporting, in alignment with Uber's commitment to doing the right thing and upholding the highest standards. This team plays a critical role in upholding FRM's core values-placing the right people in the right roles to ask the right questions, acting with integrity, and boldly approaching risk management to drive meaningful outcomes. This team is essential in upholding Uber's core values of putting people first, acting with integrity, and being bold in our approach to risk management. Specifically, the FRM Assurance team is responsible for monitoring the effectiveness of the design, implementation, and operating effectiveness of internal controls to mitigate financial reporting risks in accordance with the 2013 COS Framework to satisfy SOX requirements. What You'll Do: Strategic Leadership: Execute the overall SOX compliance strategy, aligning with Uber's financial risk management objectives and business goals. Program Management: Lead the planning, execution, and monitoring of the SOX program for the relevant areas, ensuring timely completion of all activities and deliverables. Risk Assessment: Oversee the identification and assessment of financial reporting risks for the relevant areas, and ensure appropriate controls are in place to mitigate those risks. Control Evaluation: Evaluation of the design and operating effectiveness of internal controls over financial reporting (ICFR) for IT controls, including collaboration with BP control specialists. Stakeholder Management: Build and maintain strong relationships with key stakeholders, including internal and external auditors, and control owners across Engineering, Product, and Finance. Deficiency Remediation: Manage the identification, tracking, and remediation of control deficiencies, ensuring timely resolution and implementation of corrective actions. Continuous Improvement: Drive continuous improvement initiatives to enhance the efficiency and effectiveness of the IT SOX program, including the use of technology and automation. Champion process automation and controls modernization through tooling, data analytics, and risk intelligence. Partner with FRM's Compliance Engineering team to design and implement scalable, technology-enabled solutions (including AI) that enhance control monitoring, reduce manual effort, and improve audit readiness. Team Leadership: Lead, mentor, and develop your direct reports, fostering a culture of collaboration, accountability, and professional growth. Regulatory Compliance: Stay abreast of changes in SOX and other related regulations and best practices, and ensure the company's compliance program is updated accordingly. This includes monitoring changes to PCAOB auditing standards and SEC guidance. Reporting: Prepare and present regular reports to key stakeholders and FRM leadership on the status of SOX compliance, key risks, and control effectiveness for related areas. Audit Tools and Techniques: Oversee the utilization of audit software and tools to enhance the efficiency and effectiveness of SOX testing and monitoring. Basic Qualifications: Bachelor's degree in Information Systems, Computer Science, Accounting or a related field. 6+ years of relevant experience in SOX, internal audit, or public accounting. Preferred Qualifications: Prior experience auditing or operating within platform-based technology companies, particularly those with distributed systems architectures such as microservices, containerized environments (e.g., Docker, Kubernetes), cloud-native platforms, and API-driven services. Familiarity with modern DevOps and CI/CD pipelines and automated provisioning and monitoring tools. Experience with IT and business process controls related to revenue recognition under ASC 606, including system design and reporting implications. CISA, CISSP , CPA or other relevant professional certification is highly preferred. Communication and Interpersonal Skills: Ability to communicate effectively with diverse stakeholders, including senior management, auditors, and team members. This includes strong written and verbal communication, active listening, and the ability to present complex information clearly and concisely. Analytical and Problem-Solving Skills: Strong analytical skills to identify and assess complex issues, evaluate risks, and develop effective solutions. This includes critical thinking, attention to detail, and the ability to make sound judgments under pressure. Adaptability and Change Management: Ability to adapt to changing regulatory requirements, business environments, and organizational priorities. This includes flexibility, resilience, and the ability to drive change effectively. Business Acumen: Understanding of Uber's business operations, financial performance, and strategic objectives, and the ability to align SOX activities with these goals. Ethical Judgment and Integrity: Strong ethical judgment and integrity, with a commitment to upholding the highest standards of professional conduct and compliance. Passionate about your work and a desire to have a big impact. Enthusiastic about Uber! For San Francisco, CA-based roles: The base salary range for this role is USD$160,000 per year - USD$178,000 per year. You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at the following link ************************************** Uber is proud to be an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form- *************************************************************************************************** #J-18808-Ljbffr

About the Role We are seeking a Manager II, FinTech AI Application Development (L5B) to join Uber's FinTech team. This role sits at the intersection of finance and AI innovation, driving how generative AI, machine learning, and automation reshape Finance and Accounting at Uber. This position emphasizes leadership, product vision, and domain expertise, while also valuing the ability to engage in technical exploration when appropriate. You will define the roadmap for AI in Finance, guide teams in exploring high-value use cases, and partner closely with stakeholders across Finance, Accounting, Engineering, and Uber's central AI teams to ensure scalable, impactful adoption of AI solutions. This is a high-visibility role for a leader who understands both enterprise finance systems and emerging AI technologies, and who can bridge technical possibilities with business priorities. What You'll Do #### AI Strategy & Roadmap 1. Own and drive the AI roadmap for Finance and Accounting, in partnership with Finance leadership. 2. Establish structured frameworks for identifying, evaluating, and prioritizing AI opportunities based on ROI, scalability, and risk. 3. Stay ahead of AI and ML advancements, translating them into practical applications for Finance and Accounting. #### Stakeholder Partnership 1. Act as the primary liaison between Finance/Accounting and Engineering, ensuring AI initiatives align with business goals. 2. Champion AI adoption across Finance by influencing stakeholders, shaping narratives, and demonstrating value. 3. Partner with central AI platform teams to leverage infrastructure, tools, and best practices. #### Leadership & Execution 1. Manage and mentor a small but growing AI-focused team, fostering a culture of innovation and learning. 2. Guide the design and validation of AI proofs-of-concept (developed by technical contributors), ensuring alignment with Finance needs. 3. Engage with technical details as needed to evaluate approaches and ensure sound design. 4. Oversee the transition of successful POCs into production through close collaboration with Engineering. 5. Track adoption, measure impact, and report outcomes to senior leadership. Basic Qualifications 1. Bachelor's or Master's degree in Finance, Accounting, Computer Science, Data Science, or related field. 2. Strong knowledge of enterprise finance platforms (e.g., Oracle EPM, SAP, data warehouses) and finance workflows. 3. Demonstrated ability to lead cross-functional programs and influence senior stakeholders. Preferred Qualifications 1. 10+ years of professional experience, including 5+ years in Finance/Accounting systems, processes, or technology. 2. At least 2+ years of direct experience with AI/ML concepts, including generative AI, LLMs, or related technologies. 3. CPA, CFA, or advanced degree in Finance, Accounting, or Data Science. 4. Prior experience delivering AI/ML solutions in Finance or Accounting contexts. 5. Familiarity with modern AI tools and techniques (e.g., prompt engineering, RAG, synthetic data). 6. Excellent communication and storytelling skills to translate technical concepts for Finance leaders. 7. Experience managing and mentoring technical teams. For San Francisco, CA-based roles: The base salary range for this role is USD$211,000 per year - USD$234,000 per year. You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at the following link [****************************************************************************** Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together. Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing [this form](************************************* Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

What is Uber? Submit your CV and any additional required information after you have read this description by clicking on the application button. Driving with Uber is an alternative to a part-time or full-time job and can get you earning cash on the road quickly. Driving with Uber allows you to earn quick cash while maintaining the flexibility your schedule requires (gig, part-time, full-time, seasonal, hourly, or temporary) Why Drive With Uber?: Receive your earnings fast: With Uber, you can cash out your earnings up to 5 times a day with Instant Pay. You are your own boss: You decide how much or little you want to drive and earn. Dont have a car? Uber has rental partners available that allow you to rent a car by the hour, day, or week. Signing up only takes a few minutes: We'll provide support along the way and get you on the road as soon as your registration is processed. Requirements to Drive: Meet the minimum age to drive in your city Have at least one year of licensed driving experience in the US (3 years if you are under 25 years old) Use an eligible 4-door vehicle You consent to driver screening and background check You have an iPhone or Android smartphone Vehicle Requirements vary by region, well show you what is needed Additional Information: If you have previous employment experience in transportation (such as a delivery driver, driver, professional driver, driving job, truck driver, heavy and tractor-trailer driver, cdl truck driver, class a or class b driver, local truck driver, company truck driver, taxi driver, taxi chauffeur, cab driver, cab chauffeur, taxi cab driver, transit bus driver, bus driver, coach bus driver, bus operator, shuttle driver, bus chauffeur) you might also consider driving with Uber to earn extra money. We also welcome drivers who have worked with other peer-to-peer ridesharing or driving networks. Drivers using the Uber platform come from all backgrounds and industries ranging from traditional driving and transportation industries to other industries. No professional driving experience required. Driving with Uber is a great way to supplement your part time or full time income. Additional Documents to Drive A valid US Drivers license Proof of residency in your city, state, or province Proof of vehicle insurance if you plan to drive your own vehicle *Depending on your city or state, additional documentation or information may be required. Our support team is available 24/7 to help you answer any questions you may have about registration. xevrcyc Remote working/work at home options are available for this role.

About the Role We are looking for a Manager II, Applied Science, to lead a global team of data scientists and applied scientists towards high-quality science output to make an impact on safety for all users on the Uber platform. Own end-to-end science lifecycle on high-visibility safety projects, including deep dive analysis, modeling, experimentation design and readout, causal inference, and metrics monitoring and product iteration. Work closely with Uber's Core Services Product Managers, Engineers, and Operations Team to understand new opportunities and be a thought partner in solutioning. \-\-\-\- What You Will Do ---- 1. Lead a global team of data scientists and applied scientists towards high-quality science output to make an impact on safety for all users on the Uber platform. 2. Own end-to-end science lifecycle on high-visibility safety projects, including deep dive analysis, modeling, experimentation design and readout, causal inference, and metrics monitoring and product iteration 3. Work closely with Uber's Core Services Product Managers, Engineers, and Operations Team to understand new opportunities and be a thought partner in solutioning \-\-\-\- Basic Qualifications ---- 1. Ph.D., M.S. or Bachelor's degree in Statistics, Economics, Mathematics, Operations Research, or other quantitative fields. 2. Minimum 7 years of industry experience as a Scientist or equivalent (5+ years if holding a Ph.D. degree). 3. Minimum 3 years of experience in managing a team of Applied / Data Scientists with strong people leadership skills, including growing and mentoring your team members 4. Proficiency using SQL, Python, PySpark at scale with large data sets in a production environment. 5. Experienced in partnering with cross-functional stakeholders to influence and execute decisions. \-\-\-\- Preferred Qualifications ---- 1. PhD or equivalent in Computer Science, Engineering, Mathematics or other quantitative fields. 2. 9+ years of industry experience as an (Applied / Data) Scientist or equivalent (7+ years if holding a Ph.D. degree). 3. Background in safety or risk For San Francisco, CA-based roles: The base salary range for this role is USD$212,000 per year - USD$235,500 per year. You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at the following link [****************************************************************************** Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together. Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing [this form](************************************* Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Data Science is at the heart of Lyft's products and decision-making. Data Scientists at Lyft operate in dynamic environments, moving quickly to build the world's best transportation solutions. We tackle a wide range of challenges-from shaping long-term business strategy with data, to making critical short-term decisions, to developing algorithms and models that power both internal systems and customer-facing products. We are looking for an experienced and highly motivated Senior Data Scientist to join the Central Market Management team and lead key initiatives that enhance the quality of our overall decision-making. You'll work cross functionally with other Data Scientists, Data Analysts, Product Managers, and Finance partners to make sure we are making the most financially efficient decisions to scale our business. You will identify gaps in our operational processes and measurements, and work to create strategies, frameworks, and models to help address them and deliver impact. Responsibilities * Leverage data and analytical frameworks to identify opportunities for improving operational efficiency * Define and implement decision frameworks, measurement strategies, and scientific methodologies that bring consistency and rigor to business decisions and forecasts, balancing opportunity and uncertainty * Deliver integrated, high-quality analytical outputs spanning multiple projects while navigating ambiguity, cross-team dependencies, and open-ended scope * Define and implement a robust attribution framework to evaluate the performance of high-stakes decisions * Act as a technical lead, guiding other Data Scientists and fostering a culture of analytical excellence * Write efficient, clean, production-level code (Python, SQL), ensuring reproducibility, documentation, and long-term maintainability of analytical assets * Be proactive in pursuing opportunities and have a true ownership mindset to get things done * Contribute to the Science community (hiring, onboarding, documentation, knowledge-sharing, tooling improvements), helping make Decision Science at Lyft more effective and scalable Experience * Bachelor's, Master's, or PhD in a quantitative field such as Statistics, Economics, Computer Science, Engineering, Applied Mathematics, or related discipline; or equivalent practical experience. * 5+ years of industry experience in decision science, analytics, statistics, or data science, with a track record of influencing strategy and business outcomes through data. * Demonstrated ability to independently own multi-project analytical scopes with ambiguous problem definitions and cross-functional integration. * Expertise in metric design, diagnostic analysis, forecasting, behavioral analytics, decision frameworks and measurement strategy. * Strong proficiency in SQL, Python, and tools for data manipulation, statistical modeling, visualization, and reproducible pipelines. * Ability to translate complex analytical insights into clear, actionable recommendations for both technical and executive audiences. * Proven success driving alignment and influencing cross-functional teams in fast-paced, ambiguous, high-stakes environments. * Strong communication, critical thinking, and prioritization skills, including the ability to challenge assumptions, propose alternatives, and balance short-term vs. long-term tradeoffs. * Demonstrated impact as a peer mentor, reviewer, and thought partner, elevating the quality of work across teams. * Experience working with financial data is a plus. * Experience building and scaling monitoring systems and business health dashboards that identify anomalies, trends, and opportunities. Benefits: * Great medical, dental, and vision insurance options with additional programs available when enrolled * Mental health benefits * Family building benefits * Child care and pet benefits * 401(k) plan to help save for your future * In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off * 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible * Subsidized commuter benefits * Lyft Pink - Lyft team members get an exclusive opportunity to test new benefits of our Ridership Program Lyft is an equal opportunity employer committed to an inclusive workplace that fosters belonging. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, age, genetic information, or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law. Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule - Team Members will be expected to work in the office 3 days per week on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid The expected base pay range for this position in the San Francisco area is $148,000 - $185,000, not inclusive of potential equity offering, bonus or benefits. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.

About this Role We are looking for a technically adept Science Manager to lead the Search Science team at UberEats. Search is how many users find restaurants, retailers, dishes, and items, making this a critical role for our business growth. The work is unique in a couple of ways: * The global scale of UberEats means you and your team will be building solutions that have to generalize across the world, navigating diverse languages, selection conditions and user habits. * The Search system also operates at the intersection of users and logistics. Unlike traditional media search, our systems need to account for real-time availability and feasibility constraints of our marketplace. * The Science role at Uber also covers the entire spectrum of Data Science. You will build and support a team with diverse skills and take on interesting problems requiring advanced analytics, experimentation, casual inference, ML / RecSys system understanding, ground truth measurement. * You will also be at the cutting edge helping us build out advanced Agentic Search capabilities that help customers find / discover products that fulfill their needs. What You'll Do * Lead the team in performing deep-dive analyses to generate actionable insights that influence strategy and execution direction. * Design, develop, and own key metrics and dashboards for evaluating the quality of search results and agentic capabilities. * Analyze the performance of the search system and underlying ML models to identify optimization opportunities. * Design and execute A/B tests and other experimental designs to causally determine the impact of new features, algorithms, and system changes. * Partner closely with Product Managers, Engineering, other Scientists and Design teams to translate business needs into technical roadmaps to deliver high-impact solutions. * Recruit, mentor, and grow a team of talented Scientists. * Communicate complex findings and recommendations to technical and non-technical stakeholders. ## Basic Qualifications * Ph.D., M.S. or Bachelors degree in Statistics, Economics, Mathematics, Operations Research, or other quantitative fields. * Minimum 7 years of industry experience as a Scientist or equivalent (5+ years if holding a Ph.D. degree). * Experience with exploratory data analysis, statistical analysis and testing, causal analysis and ML model development. * Minimum 1 year of experience in managing a team of Applied / Data Scientists with Strong people leadership skills including growing and mentoring your team members. * Experience with tools like SQL or R in a production environment. * Bias to action and proven track record of getting things done. * Proficiency using Python, py Spark at scale with large data sets. * Experienced in partnering with cross-functional stakeholders to execute decisions. * Experience in tech or marketplace industries. ## Preferred Qualifications * PhD or equivalent in Computer Science, Engineering, Mathematics or other quantitative fields. * 2+ years of experience in managing a team of Applied / Data Scientists with strong people leadership skills including growing and mentoring your team members. * Experience working with ranking & retrieval systems, e.g. Ads ranking, Home page ranking. * Experienced in partnering with cross-functional stakeholders to execute decisions. For San Francisco, CA-based roles: The base salary range for this role is USD$212,000 per year - USD$235,500 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD$212,000 per year - USD$235,500 per year. For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at the following link [****************************************************************************** Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together. Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing [this form](************************************* Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.