Cab Driver jobs at Über

About the Role At Uber, we reimagine the way the world moves for the better. There are several operations and technologies that enable this mission and "Uber AI Solutions" leads many of those capabilities. We offer 30+ advanced capabilities, including image and video annotation, text labeling, 3D point cloud processing, semantic segmentation, intent tagging, sentiment detection, document transcription, synthetic data generation, object tracking, and LiDAR annotation. The tech+ops solution coupled with Uber's strength of building a platform for flexible work will enable enterprises world-wide to accelerate their data, AI and product journeys. While we do this, we look forward to creating flexible earnings opportunities through online tasks for millions of people across the world. Together, our tech, operations expertise and platform for knowledge work are uniquely positioned to be the best-in-class human in the loop solution for the industry. What the Candidate Will Need / Bonus Points \-\-\-\- What the Candidate Will Do ---- 1. Build scalable analytical frameworks to support product analytics and experiments for Uber's New business Platform "Uber AI Solutions" 2. Be the thought leader for the team, help navigate all the ambiguous problems and create simplified effective solutions 3. Own new product experimentation including plan creation, roll-out, and monitoring 4. Be an invaluable partner to cross-functional teams such as engineering, product management, various data teams to deploy data quality across critical pipelines and to set up processes to triage data issues 5. Develop and track metrics and reporting functions to measure and monitor risk products on our platform 6. Effectively and proactively communicate insights and drive projects to drive towards team goals 7. Proactively seek out opportunities to build new solutions to tackle Risk and Identity challenges 8. Create and drive data quality standards and frameworks to ensure inclusion into pipeline engineering efforts \-\-\-\- Basic Qualifications ---- 1. 6+ years of experience (Bachelor) OR 5+ years of experience (Masters) in a data-focused role such as product analytics, business analytics, business operations, or data science 2. Education in Engineering, Computer Science, Math, Economics, Statistics or equivalent experience 3. Experience in modern programming languages (Matlab, Python) or statistical languages (SQL, SAS, R) 4. Past experience with a Product / Tech company serving millions of customers on multiple platforms and countries 5. Working Knowledge of LLMs is a plus 6. Working experience in AI companies is a plus. \-\-\-\- Preferred Qualifications ---- 01. SQL mastery. Write efficient and complex code in SQL 02. Experience in Python/R and experimentation, A/B testing, and statistical modelling 03. Experience in Payments or Compliance with a Product / Tech company 04. Proven ability to handle and visualise large datasets, explore and utilize raw data feeds 05. Love of data - you just go get the data you need and turn it into an insightful story. 06. A well-organized, structured approach to problem-solving 07. Strong sense of ownership, accountability, and entrepreneurial spirit 08. Great communicator, problem-solver & confident in decision making 09. Independent & autonomous, while still a strong teammate 10. Enthusiastic, self-starting and thrives in changing, agile environments 11. LLMs, prompt engg is a plus For San Francisco, CA-based roles: The base salary range for this role is USD$169,000 per year - USD$188,000 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD$169,000 per year - USD$188,000 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'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. The Lyft Business team is changing the way companies, brands and organizations alike leverage the Lyft platform to redefine the way they operate. We are solving big problems, and meeting the needs of our clients and their people, from employees to customers and students to patients, in a whole new way. To support our rapidly growing business, we're looking for a Product Marketing Manager with proven experience marketing solutions to businesses. The person in this role will be responsible for shaping product roadmaps, bringing solutions to market, and leading marketing plans to acquire customers and increase bookings with a focus on health care, education, and transit audiences. You will operate in a fast paced and entrepreneurial environment. Responsibilities: Develop and drive a strategy for business-facing products in conjunction with the Product, Sales, and Marketing teams, including but not limited to go-to-market plans, sales enablement, competitive analysis, customer segmentation, product positioning, and messaging Lead customer adoption, usage, and loyalty of products like Concierge and Concierge API with clear product positioning, naming, launch, onboarding, and marketing programs Be the voice and expert of personas within our target industries to influence the roadmap Work cross-functionally with Product, Design, Brand, Support, etc. to fuel ongoing product adoption and go-to-market launches Identify new types of features based on customer research, competitive analysis, and market trends Drive cross-functional, cross-channel marketing efforts to meet the growth objectives associated with ongoing product initiatives Experience: Bachelor's degree 5+ years experience in product marketing 2+ years experience in B2B marketing Experience working on Healthcare, SaaS or API products a plus Analytical thinker with experience in data-driven marketing Strong interpersonal skills with the ability to collaborate and work cross-functionally with analytical, creative, and technical teams Experience in applying market insights to inform and optimize the product experience Sales enablement experience Strong Excel and analytical skills; SQL skills a plus Very strong written communication skills Thrives in a fast-paced environment with a bias towards action 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 $118,000 - $147,000, 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.

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. Lyft Ads is one of Lyft's newest and fastest-growing businesses, focused on building the world's largest transportation media network. Our mission is to help brands reach riders during key moments of their journey-before, during, and after a ride-by delivering meaningful, contextually relevant ad experiences. We operate at the intersection of mobility data, real-time decision systems, and AI-powered personalization, enabling advertisers to run high-impact campaigns with measurable outcomes. We are seeking an Algorithms Scientist to help build the next generation of ads relevance, targeting, optimization, and measurement algorithms that power the Lyft Ads platform. In this role, you will work across large-scale datasets and complex real-time systems to design, prototype, and deploy production-grade machine learning models. You'll collaborate closely with Engineering, Product, Data Science, and Sales to translate ambiguous business and advertiser needs into rigorous algorithmic solutions that improve ad performance, enhance marketplace efficiency, and drive meaningful revenue growth. This is a high-impact, highly technical role within a rapidly scaling business line. The ideal candidate brings strong applied machine learning intuition, hands-on modeling experience, and the ability to write clean, efficient production code. You will play a critical role in shaping how advertisers connect with Lyft riders-pushing the boundaries of personalization, measurement, and real-time optimization in a dynamic marketplace. Responsibilities: * Lead multiple high-impact Machine Learning and AI initiatives across the Lyft Ads platform - including relevance, targeting, bidding, pacing, delivery optimization, conversion prediction, and measurement systems. * Define the modeling strategy, technical roadmap, and success metrics for ML components that power ad-serving and advertiser performance, ensuring alignment with business and revenue goals. * Own complex, open-ended problem spaces, breaking down ambiguous advertiser, marketplace, and system constraints into well-structured modeling approaches and scientific requirements. * Design, develop, and deploy advanced machine learning, optimization, and decisioning algorithms for large-scale real-time and batch systems, balancing scientific rigor with practical engineering constraints (latency, throughput, cost, reliability). * Partner deeply with Ads Engineering, Infra, and Product to architect production-grade ML systems - including feature stores, training pipelines, online scoring services, monitoring, A/B frameworks, and model governance processes. * Establish robust evaluation frameworks, defining offline metrics, calibration checks, counterfactual methods, experiment designs, and long-term measurement strategies to ensure model correctness and system stability. * Diagnose systemic issues (drift, feedback loops, cold start, pacing imbalance, auction inefficiencies) and lead cross-functional efforts to improve model performance, user experience, and advertiser ROI. * Drive algorithmic innovation by introducing new techniques from ranking, causal inference, reinforcement learning, probabilistic modeling, graph ML, or optimization, and evaluating their feasibility for large-scale ads systems. * Build reusable modeling infrastructure, libraries, and best practices, enabling faster iteration and higher modeling quality across the broader Ads Science and Engineering teams. * Mentor and guide junior/mid-level scientists and MLEs, serving as a technical advisor on modeling design, experimentation, code quality, and scientific reasoning. * Represent Algorithm Science in cross-functional planning, ensuring algorithms are grounded in strong methodology and aligned with Ads business priorities, advertiser needs, and platform constraints. Experience: * Master's or PhD in Machine Learning, Computer Science, Optimization, Statistics, Engineering, Applied Mathematics, or a related quantitative field; or equivalent high-impact industry experience. * 5+ years of applied science or machine learning experience, with a track record of deploying production models that drive measurable business outcomes. * Demonstrated ability to own multi-project modeling scope across ambiguous problem spaces and integrate work across engineering, product, and data science partners. * Deep expertise in: * Ranking and relevance modeling * CTR/CVR prediction, calibration, and uncertainty modeling * Optimization and pacing algorithms * Auction dynamics or marketplace delivery systems * Causal inference methods for ads measurement * Strong proficiency in Python, ML frameworks (PyTorch, TensorFlow, JAX, scikit-learn), and distributed data systems (Spark, Snowflake, Databricks). * Proven experience building large-scale, production-ready ML systems, including model servers, training pipelines, monitoring/alerting, and real-time inference services. * Ability to define and execute offline and online evaluation strategies, including experiment design, counterfactual analysis, and diagnostics for model/system failures. * Strong technical leadership skills - able to align partners, influence technical architecture, challenge assumptions, and guide cross-team modeling decisions. * Demonstrated ability to mentor other scientists, elevate technical quality, and improve modeling/analysis standards across the team. * Excellent communication skills, with the ability to articulate complex modeling concepts, system trade-offs, and scientific reasoning to both technical and business stakeholders. * Track record of driving measurable improvements to model performance, advertiser outcomes, or system efficiency through innovative modeling or optimization techniques. 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. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Range is not inclusive of potential equity offering, bonus or benefits. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process. Total compensation is 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.

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. Lyft Ads is one of Lyft's newest and fastest-growing businesses, focused on building the world's largest transportation media network. Our mission is to help brands reach riders during key moments of their journey-before, during, and after a ride-by delivering meaningful, contextually relevant ad experiences. We operate at the intersection of mobility data, real-time decision systems, and AI-powered personalization, enabling advertisers to run high-impact campaigns with measurable outcomes. We are seeking a Senior Algorithms Data Scientist to help build the next generation of ads relevance, targeting, optimization, and measurement algorithms that power the Lyft Ads platform. In this role, you will work across large-scale datasets and complex real-time systems to design, prototype, and deploy production-grade machine learning models. You'll collaborate closely with Engineering, Product, Data Science, and Sxales to translate ambiguous business and advertiser needs into rigorous algorithmic solutions that improve ad performance, enhance marketplace efficiency, and drive meaningful revenue growth. This is a high-impact, highly technical role within a rapidly scaling business line. The ideal candidate brings strong applied machine learning intuition, hands-on modeling experience, and the ability to write clean, efficient production code. You will play a critical role in shaping how advertisers connect with Lyft riders-pushing the boundaries of personalization, measurement, and real-time optimization in a dynamic marketplace. Responsibilities: Lead multiple high-impact Machine Learning and AI initiatives across the Lyft Ads platform - including relevance, targeting, bidding, pacing, delivery optimization, conversion prediction, and measurement systems. Define the modeling strategy, technical roadmap, and success metrics for ML components that power ad-serving and advertiser performance, ensuring alignment with business and revenue goals. Own complex, open-ended problem spaces, breaking down ambiguous advertiser, marketplace, and system constraints into well-structured modeling approaches and scientific requirements. Design, develop, and deploy advanced machine learning, optimization, and decisioning algorithms for large-scale real-time and batch systems, balancing scientific rigor with practical engineering constraints (latency, throughput, cost, reliability). Partner deeply with Ads Engineering, Infra, and Product to architect production-grade ML systems - including feature stores, training pipelines, online scoring services, monitoring, A/B frameworks, and model governance processes. Establish robust evaluation frameworks, defining offline metrics, calibration checks, counterfactual methods, experiment designs, and long-term measurement strategies to ensure model correctness and system stability. Diagnose systemic issues (drift, feedback loops, cold start, pacing imbalance, auction inefficiencies) and lead cross-functional efforts to improve model performance, user experience, and advertiser ROI. Drive algorithmic innovation by introducing new techniques from ranking, causal inference, reinforcement learning, probabilistic modeling, graph ML, or optimization, and evaluating their feasibility for large-scale ads systems. Build reusable modeling infrastructure, libraries, and best practices, enabling faster iteration and higher modeling quality across the broader Ads Science and Engineering teams. Mentor and guide junior/mid-level scientists and MLEs, serving as a technical advisor on modeling design, experimentation, code quality, and scientific reasoning. Represent Algorithm Science in cross-functional planning, ensuring algorithms are grounded in strong methodology and aligned with Ads business priorities, advertiser needs, and platform constraints. Experience: Master's or PhD in Machine Learning, Computer Science, Optimization, Statistics, Engineering, Applied Mathematics, or a related quantitative field; or equivalent high-impact industry experience. 5+ years of applied science or machine learning experience, with a track record of deploying production models that drive measurable business outcomes. Demonstrated ability to own multi-project modeling scope across ambiguous problem spaces and integrate work across engineering, product, and data science partners. Deep expertise in: Ranking and relevance modeling CTR/CVR prediction, calibration, and uncertainty modeling Optimization and pacing algorithms Auction dynamics or marketplace delivery systems Causal inference methods for ads measurement Strong proficiency in Python, ML frameworks (PyTorch, TensorFlow, JAX, scikit-learn), and distributed data systems (Spark, Snowflake, Databricks). Proven experience building large-scale, production-ready ML systems, including model servers, training pipelines, monitoring/alerting, and real-time inference services. Ability to define and execute offline and online evaluation strategies, including experiment design, counterfactual analysis, and diagnostics for model/system failures. Strong technical leadership skills - able to align partners, influence technical architecture, challenge assumptions, and guide cross-team modeling decisions. Demonstrated ability to mentor other scientists, elevate technical quality, and improve modeling/analysis standards across the team. Excellent communication skills, with the ability to articulate complex modeling concepts, system trade-offs, and scientific reasoning to both technical and business stakeholders. Track record of driving measurable improvements to model performance, advertiser outcomes, or system efficiency through innovative modeling or optimization techniques. 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. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Range is not inclusive of potential equity offering, bonus or benefits. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process. Total compensation is 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.

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. Lyft Ads is one of Lyft's newest and fastest-growing businesses, focused on building the world's largest transportation media network. Our mission is to help brands reach riders during key moments of their journey-before, during, and after a ride-by delivering meaningful, contextually relevant ad experiences. We operate at the intersection of mobility data, real-time decision systems, and AI-powered personalization, enabling advertisers to run high-impact campaigns with measurable outcomes. We are seeking an Algorithms Scientist to help build the next generation of ads relevance, targeting, optimization, and measurement algorithms that power the Lyft Ads platform. In this role, you will work across large-scale datasets and complex real-time systems to design, prototype, and deploy production-grade machine learning models. You'll collaborate closely with Engineering, Product, Data Science, and Sales to translate ambiguous business and advertiser needs into rigorous algorithmic solutions that improve ad performance, enhance marketplace efficiency, and drive meaningful revenue growth. This is a high-impact, highly technical role within a rapidly scaling business line. The ideal candidate brings strong applied machine learning intuition, hands-on modeling experience, and the ability to write clean, efficient production code. You will play a critical role in shaping how advertisers connect with Lyft riders-pushing the boundaries of personalization, measurement, and real-time optimization in a dynamic marketplace. Responsibilities: Design, develop, and deploy production-grade machine learning models and algorithms that power core Lyft Ads capabilities, such as ad relevance, targeting, ranking, bid optimization, pacing, campaign delivery, and measurement. Own the end-to-end lifecycle of modeling projects - including problem definition, data exploration, feature engineering, model development, offline evaluation, deployment, and monitoring. Collaborate closely with Ads Engineering to integrate models into real-time ad-serving and batch decision systems, ensuring performance across latency, scalability, and reliability constraints. Analyze large-scale mobility, behavioral, and ads performance datasets to identify patterns, surface opportunities, and guide ML and AI driven product improvements. Implement rigorous model evaluation frameworks, including offline metrics, statistical tests, calibration, sensitivity analysis, and A/B experimentation to validate both model impact and system-level outcomes. Build robust training pipelines, feature transformations, and scoring infrastructure, ensuring reproducibility, observability, and long-term maintainability. Partner with Product, Engineering, and Sales to translate ambiguous advertiser goals (e.g., increased conversions, reach efficiency, brand lift) into measurable requirements and success metrics. Investigate and resolve model behavior issues, production regressions, calibration drift, and performance anomalies in close partnership with Ads Infra teams. Drive innovation by staying current with advances in ML for ranking, recommendation, causal inference, optimization, and ads measurement - and proactively identifying opportunities to apply them. Contribute to Lyft Ads' modeling and experimentation infrastructure, through model cards, documentation, reproducibility standards, and code quality improvements. Experience: Master's, or PhD in Machine Learning, Computer Science, Statistics, Applied Mathematics, Engineering, or related quantitative fields; or equivalent applied industry experience. 3-5 years of hands-on ML/applied science experience, ideally involving production models, large-scale systems, or ads/recommendation/relevance domains. Strong proficiency in Python and machine learning frameworks such as PyTorch, TensorFlow, JAX, or scikit-learn; ability to write clean, efficient, production-adjacent code. Experience working with large-scale datasets and distributed data tools (Spark, Snowflake, Presto, Databricks). Practical experience building and evaluating: Ranking and relevance models Optimization or pacing algorithms Predictive models for CTR, CVR, or user response Causal or experimentation-based measurement methods Understanding of online/offline evaluation techniques, including: Offline metrics (AUC, NDCG, MRR, calibration) A/B testing methodologies Bias correction and counterfactual estimation Ability to solve ambiguous problems by structuring analyses, evaluating trade-offs, and proposing algorithmic solutions grounded in scientific rigor. Strong communication skills, with an ability to clearly explain model behavior, constraints, trade-offs, and recommendations to engineering, product, and sales partners. Demonstrated ownership of modeling work, including debugging, monitoring, documentation, and iteration after deployment. Curiosity, initiative, and a track record of delivering measurable improvements through high-quality modeling. 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 $128,000 - $160,000. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Range is not inclusive of potential equity offering, bonus or benefits. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process. Total compensation is 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.

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. Lyft Ads is building the world's largest mobility advertising network, connecting brands with millions of consumers throughout their transportation journeys. Our advertising platform spans in-app ad products and out-of-home assets such as wrapped vehicles. As we scale our advertising business, we're looking for an entrepreneurial product manager to identify and unlock new growth opportunities within the Lyft ecosystem. We are seeking a Senior Product Manager who thrives in ambiguity and excels at transforming data-driven hypotheses into revenue-generating products. As the Growth PM for Lyft Ads, you will pioneer 0-to-1 advertising opportunities, validate new monetization models through rapid experimentation, and build full-stack solutions that deliver measurable value for both advertisers and Lyft. You'll work at the intersection of product innovation, data science, and revenue optimization to accelerate our advertising business growth. Responsibilities: Pioneer new advertising opportunities by analyzing Lyft's ecosystem to identify untapped monetization potential, developing data-driven hypotheses for greenfield ad products, and transforming emerging patterns into actionable growth strategies. Lead through experimentation by designing and executing rapid testing frameworks to validate/disprove hypotheses, building MVPs and prototypes to test advertiser demand and user acceptance, and iterating quickly based on learnings to find product-market fit. Increase experimentation velocity by translating a wide range of use cases into reusable, extensible solutions and scalable deployment workflows. Drive revenue growth by developing full-stack advertising products from ideation through launch and optimization, setting aggressive growth targets and success metrics aligned with Lyft Media's vision, and optimizing yield and advertiser ROI through continuous product improvements. Build alignment across complex stakeholders including engineering, data science, sales, marketing, and advertiser operations teams, while clearly communicating experiments, learnings, and strategic pivots to leadership. Own end-to-end product delivery from opportunity identification through development, launch, growth, and maintenance, ensuring seamless integration with existing Lyft Media platform capabilities. Champion advertiser outcomes by deeply understanding advertiser needs across different verticals and use cases, developing products that deliver measurable business results and ROI, and establishing feedback loops to continuously improve advertiser satisfaction. Experience: Strong experience in digital advertising Product Management: 5+ years in product management with demonstrated success launching 0-to-1 products in fast-paced, ambiguous environments, with a strong preference for advertising products Growth mindset and experimentation expertise: Proven track record of using data, A/B testing, and rapid iteration to drive product growth and revenue. Experience with growth metrics, funnel optimization, and monetization strategies Strong analytical capabilities: Advanced skills in data analysis, SQL, and experimentation frameworks. Ability to translate complex data into actionable insights and product strategies Entrepreneurial drive: Natural ability to identify opportunities, manage ambiguity, and make things happen with minimal direction. Comfortable operating in uncharted territory with incomplete information Full-stack product thinking: Experience building products that span multiple technical systems, from front-end experiences to backend infrastructure and data pipelines Excellent stakeholder management: Proven ability to influence and align cross-functional teams, from engineers to executives, around a shared vision and roadmap. Exceptional skills driving alignment, building trust, and clarifying complexity with stakeholders in other orgs and functions. Customer obsession: Deep empathy for both advertiser needs and user experience, with ability to balance revenue generation with platform health Strong communication: Exceptional written and verbal communication skills, with ability to present complex ideas simply to diverse audiences Preferred qualifications: Experience in advertising technology, programmatic advertising, or marketplace products. Background in growth product management at consumer tech companies 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.

**This is a hybrid role and you must be located in, or willing to relocate to, San Francisco for the position.** **About the Role** At Uber, we're reimagining how the world moves for the better. Uber AI Solutions powers this mission by delivering advanced capabilities in synthetic data generation, localization, map editing, product testing, and AI-driven customer support - now extending these strengths to enterprises to accelerate their own AI and automation journeys. As a Senior Enterprise Account Executive, you'll drive revenue growth and cultivate strategic enterprise relationships across the GenAI and Technology verticals. You will own the full sales cycle, from identifying opportunities to closing strategic deals, while ensuring exceptional delivery and customer satisfaction. This role combines business development, strategic execution, and cross-functional leadership to drive measurable impact and long-term growth. **What You'll Do** + Identify, prospect, and build relationships with key enterprise customers across the GenAI and Technology verticals. + Secure new enterprise partnerships by engaging key decision-makers and influencers, understanding their current and future needs, and delivering tailored AI and automation solutions. + Consistently meet and exceed revenue targets, identifying opportunities for Uber AI Solutions to expand its impact across customer organizations. + Lead executive meetings, solution demonstrations, and strategic sales engagements to advance opportunities and close high-value deals. + Partner cross-functionally with implementation, strategy, operations, and product teams to ensure seamless delivery and customer success. + Stay informed on emerging GenAI trends, market developments, and competitive dynamics to inform go-to-market strategy. + Represent Uber AI Solutions at industry events and conferences, strengthening market presence and cultivating long-term relationships. **Basic Qualifications** + 5+ years of sales experience (minimum 4 years in a full sales cycle role: prospecting, outreach, pitching & closing) in a technology environment + 1+ years of experience selling data labeling/annotation, language services, and/or quality/testing OR B2B sales experience at Uber + Experience selling new products or in new markets **Preferred Qualifications** + Bachelor's degree or equivalent + 8+ years of B2B sales experience within the AI ecosystem, spanning advanced technology domains such as MLOps platforms, data operations, data labeling, and emerging GenAI infrastructure and applications. + Proven experience securing new business meetings through cold outreach and partnering effectively with BDR/SDR teams to build pipeline. + Ability to gather and translate customer technical requirements into solutions, with experience running pilots or trials to drive customer adoption and support deal closure + Demonstrated success selling in challenging market conditions and partnering with Product teams to shape roadmap and development + Experience working with legal and procurement teams and/or senior stakeholders + Adept at Salesforce and Excel/Google Sheets - reporting, data analysis, and process improvement + Revenue/forecasting experience + Experience working in a start-up or entrepreneurial work environment + Strong interpersonal, presentation, and negotiation skills + Experience using Outreach, Linkedin Sales Navigator, Zoominfo, and Salesforce. + Experience representing the company at industry events and building relationships to generate leads and drive business opportunities For San Francisco, CA-based roles: The base salary range for this role is USD$164,000 per year - USD$182,000 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- ***************************************************************************************************

## About the Role The Senior Director, Head of Strategy & Planning will be responsible for defining and governing the long-term strategic roadmap for Uber Advertising. The leader's team will drive the overall planning cadence, performance management, and organizational strategy, as well as managing key internal stakeholders and growth opportunities for Uber's various lines of business. This Sr. director will also lead the newly formed partnerships team - from sourcing to managing relationships with BD. This role reports to the Global Head of Uber Advertising and will directly lead three distinct, critical functions: 1. Business Strategy & Planning 2. Commercial Strategy 3. Strategic Partnerships ## What You'll Do ### Strategic Planning (Business Strategy) * Strategic Roadmap Ownership: Define and champion the 3-5 year strategic framework and ambition for the organization, translating complex industry trends, competitive dynamics, and internal data into a clear, actionable vision. * Integrated Annual Planning: Lead and govern the annual planning cycle (covering strategic goals, financial targets, and resource allocation), crafting a compelling business narrative and partnering with cross-functional teams to define corresponding OKRs in a cohesive manner. * Governance & Performance Management: Design and maintain a lean, effective operating cadence for executive decision-making (e.g., MBRs/QBRs), ensuring rigorous goal and OKR tracking to measure progress, drive accountability, and position the business to outperform targets. * Industry & Competition: Direct comprehensive competitive analysis, identify emerging market opportunities, and refine Uber Advertising's core competitive strategy globally. ### Commercial Strategy * Internal Stakeholder Strategy: Lead the strategic relationship management between Uber Advertising and the core Lines of Business (LOBs), specifically Mobility and Delivery, ensuring Ads capabilities are integrated and LOB growth goals are enabled. * Ads and LOB Representation: Serve as the strategic liaison between Ads and internal Uber stakeholders, effectively representing the Ads strategy and value proposition to LOBs while translating LOB-specific needs and priorities back to the Ads organization. * LOB Growth Enablement: Partner directly with LOB leadership and their internal Strategy & Planning functions to identify, analyze, and unlock new advertising revenue and feature opportunities tied to their business objectives and product roadmaps. * Operational Efficiency: Structure the LOB alignment function with a streamlined, high-impact focus, reflecting a mature and efficient engagement model appropriate for the scale of the Ads business. ### Strategic Partnerships * Strategy: Define the long-term strategy for engaging with external parties, including third-party platforms, data providers, and strategic industry partners to enhance Uber Advertising's capabilities and reach. * Sourcing: Lead the strategic identification, initial assessment, and business case development for potential partnerships and investments. * Partnership Framework: Establish the overarching principles, evaluation criteria, and execution framework for all strategic partnerships. * Partner Management: Direct the operational management and governance of high-value partnerships, including defining performance metrics, optimizing partner value delivery, managing commercial terms, and leading strategic joint business reviews. ### Leadership & Executive Communications * Cross-Functional Alignment: Serve as the liaison to senior leaders across Product, Engineering, Sales, and Finance to resolve strategic challenges and ensure execution alignment across organizational boundaries. * Executive Communications: Develop and deliver high-impact executive communications, ensuring clarity, data-driven conviction, and a unified narrative for C-level stakeholders. * Talent Leadership: Manage, mentor, and coach the multi-functional team of high-performing analysts and managers across the Business Strategy, Commercial Strategy, and Partnerships teams. ## Basic Qualifications * 15+ years of experience in management consulting, corporate strategy, or other strategic roles, with a proven track record of driving large-scale business impact. * 8+ years of management experience, including experience leading high-performing teams and managing managers across distinct functions. * Bachelor's Degree or equivalent experience. * Deep, demonstrable understanding of the advertising and/or marketing technology (AdTech/MarTech) landscape. * Proven expertise in end-to-end strategic project management, from hypothesis development and strategy creation to organizational alignment and governance. * Ability to thrive in ambiguity and lead organizations through fast-paced, complex, and evolving business environments. * Exceptional executive-level communication skills, with the ability to craft compelling, data-driven narratives and influence C-level stakeholders globally. * Rigorous analytical and strategic mindset, capable of translating complex data into clear, high-priority business action items. ## Preferred Qualifications * Master's degree or MBA, with degrees in Economics, Statistics, Business, or Finance. * Previous experience operating in a global context, defining strategy across diverse markets. For Chicago, IL-based roles: The base salary range for this role is USD$270,000 per year - USD$300,000 per year. For New York, NY-based roles: The base salary range for this role is USD$270,000 per year - USD$300,000 per year. For San Francisco, CA-based roles: The base salary range for this role is USD$270,000 per year - USD$300,000 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'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.

_This is a hybrid role and you must be located in, or willing to relocate to San Francisco, Sunnyvale or Seattle for the position._ About the Role At Uber, we're reimagining how the world moves for the better. Uber AI Solutions powers this mission by delivering advanced capabilities in AI data solutions, data collection, product testing, and more - now extending these strengths to enterprises to accelerate their own AI and automation journeys. We are leveraging Uber's decades of experience in large-scale data, and sophisticated AI/machine learning models to deliver cutting-edge AI data products and solutions to businesses globally. Our ecosystem is central to our mission, and we seek a world-class leader to build and scale our most strategic alliances. This is a critical, high-impact role responsible for establishing and driving our primary partnership strategy across the ecosystem. You will be the architect and driver for our engagement with both traditional, established partners (GSIs, ISVs, and Consulting companies), while strategically supporting the high-velocity startup ecosystem powered by key Venture Capital funds. The ideal candidate possesses deep experience in strategic partnerships, a strong business development mindset, and a passion for Artificial Intelligence/Machine Learning. What the Candidate Will Need / Bonus Points What You'll Do * Global Partner Strategy & GTM Leadership: Define, implement, and own the global engagement strategy for a portfolio of Tier 1 Global Systems Integrators (GSIs), Consulting partners, and strategic Independent Software Vendors (ISVs). * Joint Business Planning: Develop and drive detailed annual joint business plans (JBPs) that include shared revenue targets, marketing initiatives, sales enablement, and solution development roadmaps across all major partner types. * Solution Development: Lead the creation of co-branded, high-value AI/ML accelerators, professional service offerings, and industry-specific solutions leveraging the partner's expertise and the Uber AI Solutions platform. * Field Alignment & Operational Excellence: Orchestrate seamless co-selling and co-delivery motions between the partners' field teams and the Uber AI Solutions sales organization. Conduct rigorous Quarterly Business Reviews (QBRs) with partner executive leadership to track performance, manage pipeline, and ensure operational rigor. * Venture Ecosystem Enablement: Support the broader strategy by identifying and engaging key Venture Capital (VC) and Private Equity (PE) funds. Drive platform adoption and generate net new business by enabling high-potential portfolio companies (AI-focused startups) to build, deploy, and scale their solutions on Uber AI Solutions. * Joint Marketing & Demand Generation: Lead the planning and execution of co-branded marketing campaigns, partner events, field sales enablement, and thought leadership content to drive top-of-funnel pipeline and elevate the joint value proposition in the market. Basic Qualifications * Minimum of 6+ years of professional experience in Partner Management, Strategic Alliances, Business Development, or a related GTM role in the enterprise technology sector (Cloud, SaaS, AI/ML). * Proven track record of developing and executing joint business plans and driving measurable revenue outcomes through GSIs, Consulting firms, and ISVs. * Direct experience working with the Venture Capital, Private Equity, or startup ecosystem, specifically leveraging these relationships to influence technology decisions and generate platform adoption. * Strong technical acumen in Artificial Intelligence, Machine Learning, Data Analytics, or cloud computing, capable of defining joint technical value propositions. * Exceptional executive presence, with demonstrated success engaging and influencing C-suite stakeholders (CEOs, CTOs, CIOs) both internally and externally. Preferred Qualifications * MBA or a Master's degree in a technical or business field. * Experience launching partner solutions and services via a cloud marketplace. * A pre-existing network within the top-tier US/Global VC community. * Familiarity with the Uber ecosystem and a high level of comfort navigating a fast-paced, highly-matrixed, global organization. For San Francisco, CA-based roles: The base salary range for this role is USD$164,000 per year - USD$182,000 per year. For Seattle, WA-based roles: The base salary range for this role is USD$148,000 per year - USD$164,000 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD$164,000 per year - USD$182,000 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'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.

_This is a hybrid role and you must be located in, or willing to relocate to San Francisco, Sunnyvale or Seattle for the position._ About the Role At Uber, we're reimagining how the world moves for the better. Uber AI Solutions powers this mission by delivering advanced capabilities in AI data solutions, data collection, localization, map editing, product testing, and more - now extending these strengths to enterprises worldwide to accelerate their own AI and automation journeys. As the BDR Manager for Uber AI Solutions, you will be a foundational leader, directly responsible for building and scaling our Business Development Representative (BDR) function at a global level. Your primary mission will be to drive top-of-funnel pipeline generation and align outbound efforts with broader business goals. You will lead and coach a team of highly-driven BDRs across multiple locations, empowering them to uncover high-value sales opportunities and execute our market strategy. This is a critical, high-visibility role. You will collaborate closely with Sales Directors, Marketing, Delivery and Product Management to define the global outbound prospecting strategy, establish effective Key Performance Indicators (KPIs), and ensure accountability for pipeline and revenue results. What You'll Do * Own the Demand Generation / Sales Development strategy and execution across target accounts and defined territories. Continuously analyze pipeline metrics (conversion rates, cycle time, MQL/SQL quality) to identify and execute levers for accelerated growth. * Lead, inspire, and develop a high-performing sales team, helping them reach their full potential and coaching them for career readiness, including development into future Account Executive positions. * Set clear, actionable goals and guide the team to achieve outstanding monthly, quarterly, and annual results, ensuring consistent, measurable revenue pipeline generation. * Act as the critical liaison between Sales and Marketing. Define and enforce strict Service Level Agreements (SLAs) for lead response, MQL-to-SQL qualification, and pipeline hygiene. * Collaborate directly with Marketing leadership to strategize, launch, and measure the effectiveness of targeted outbound campaigns, ensuring alignment with GTM initiatives. * Manage and optimize the Sales Development technology stack (e.g., Salesforce, sales engagement platforms, intent data tools) to ensure maximum team efficiency and data accuracy. * Drive the full-cycle recruiting and onboarding process for new BDRs, consistently hiring diverse, high-potential talent to meet team capacity and growth targets. * Implement a rigorous and consistent coaching program focused on advanced sales skills, personalized call coaching, and email cadencing best practices. * Collaborate with sales operations and enablement to improve processes and implement scalable best practices across the BDR team globally. * Provide accurate, timely, and detailed weekly forecasting and pipeline analysis to senior leadership, clearly articulating performance drivers, risks, and mitigation strategies. Basic Qualifications * Minimum of 6 years of experience in B2B SaaS, AI Data Solutions, Cloud Infrastructure, or Enterprise Technology Sales, including a proven, quantifiable track record of exceeding targets in a high-velocity sales environment. * Minimum of 3 years of direct, hands-on management experience leading Sales Development (SDR/BDR) or Demand Generation teams within a high-growth technology company. * Demonstrated success in defining, implementing, and optimizing sales processes (e.g., qualification criteria, cadence structures, lead management) that resulted in scalable pipeline growth. * Expert proficiency with Salesforce CRM and a working knowledge of the Sales Development Tech Stack (e.g., Outreach, Gong, Intent Data tools). Proven ability to derive actionable insights from pipeline data. * Exceptional cross-functional collaboration skills, specifically working with Marketing, Sales Operations, and Account Executive leadership to drive alignment on GTM strategy and SLAs. * A proactive, coaching-centric leadership style with a passion for mentorship and developing early-career talent into future sales leaders. Preferred Qualifications * Global Leadership: Prior experience managing geographically dispersed teams across multiple time zones (e.g., APAC, EMEA, AMER), including demonstrated success in scaling global SDR processes and standardizing playbooks internationally. Fluency in multiple languages is a plus. * Service & Solution Sales Background: Experience in demand generation or sales development for services or intangible solutions (e.g., consulting, professional services, BPO, managed services) in addition to, or instead of, pure software/SaaS sales. * Enterprise AI/ML Domain Experience: Working knowledge or direct experience selling into high-growth verticals (e.g., Supply Chain, Financial Services, Retail) with an emphasis on AI, Machine Learning, or complex cloud infrastructure solutions. * Methodology Expertise: Certification or deep experience with established sales methodologies (e.g., Challenger Sale, MEDDIC, SPIN) and implementing them effectively within a BDR coaching framework. * MBA or Advanced Degree: An MBA or relevant advanced degree is a plus. For San Francisco, CA-based roles: The base salary range for this role is USD$164,000 per year - USD$182,000 per year. For Seattle, WA-based roles: The base salary range for this role is USD$148,000 per year - USD$164,000 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD$164,000 per year - USD$182,000 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'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 Uber AI 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. The Moonshot AI team focuses on optimizing the Uber AI Solutions gig marketplace through intelligent supply and demand matching. We also accelerate human-in-the-loop data annotation with automation and develop robust automated evaluation systems. We are in the early stages, with significant opportunities to build new ML models for the gig marketplace. This includes integrating advanced ML models to enable ML-assisted annotations for various use cases, such as Gen AI Labeling, Image/Audio/Video Classification, and Image/Video Segmentation, building LLM-as-Judge for automated quality evaluation, training ranking models to recommend gigs to earners, etc.. In this role, you will collaborate closely with product managers, program managers, and cross-functional teams to deliver real world impact. You'll help grow Uber AI Solutions into a leader in the space. What You'll Do 1. Contribute to and influence the technical direction for Uber AI Solutions, particularly around ML applications and research. 2. Identify and choose the right problems that will benefit from ML expertise. 3. Design and develop a suite of ML models that will help solve the above problems. 4. Collaborate with backend and frontend engineers to integrate your solutions into our products & platforms. 5. Explore novel ideas and innovative solutions that can lead to a step change in our products 6. Work with cross-functional counterparts like the ML Ops team to understand their needs and improve the models accordingly. 7. Provide mentorship to engineers on the team and across partner orgs to help raise the technical bar. Basic Qualifications 1. Ph.D., MS, or Bachelors degree in Computer Science or a closely related discipline. 2. Proficiency in Computer Vision (CV), Natural Language Processing (NLP), or Deep Learning, with a solid grasp of the latest advancements in Generative AI. 3. Strong desire for continuous learning and professional growth, coupled with a commitment to developing best-in-class systems. 4. Excellent problem-solving and analytical abilities. 5. Proven ability to collaborate effectively as a team player. Preferred Qualifications 1. 8+ years of industry experience in ML/AI. 2. A strong publication record in top-tier AI/ML conferences and journals, demonstrating a history of impactful research. 3. Proven track record of training large models on distributed infrastructure. 4. Demonstrated ability to rapidly prototype, signaling curiosity and an experimental approach. 5. Experience collaborating effectively across an organization, not limited to just within teams. For San Francisco, CA-based roles: The base salary range for this role is USD$223,000 per year - USD$248,000 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD$223,000 per year - USD$248,000 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'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 At Uber, "Stand for Safety" is a core value and central to our mission of reimagining how the world moves. The Safety Product team builds innovative technologies that enhance safety for riders, drivers, couriers, and the communities we serve. As a Lead Product Manager for the Safety Media team, you will lead our mission to build recording products that can bring additional peace of mind to every ride. You'll be responsible for delivering scalable, user-friendly solutions that see broad adoption across our platform. In this role, you will drive the next-gen of on-device recording tech, building reliable video & audio capture that works across diverse devices & conditions. Your work will operate at a massive scale, supporting recording for millions of trips every day across thousands of device types in over 70+ countries, giving riders and drivers added protection. This role requires a strong technical background, exceptional leadership skills, and a passion for driving innovation in the safety space. What the Candidate Will Do 1. You will partner with leads from Engineering, Data Science, Operations, Design, and Support to establish a bold vision and execute on it in a way that balances speed, technical depth, engineering considerations and quality. 2. You will combine technical expertise with strong product sense, diving deep into technical and analytical challenges yourself, while obsessing over user experience & find novel solutions. You will work side by side with engineers & design to prototype new device media capabilities, test them in real-world scenarios, and iterate quickly to validate technical feasibility & user value. 3. You will need to be an inspirational leader for your team and cross-functional stakeholders. Internalize and deeply understand Uber's mission and strategies, as well as the mission and objectives of your team. Formulate a long and short-term product strategy to develop breakthrough products and solutions based on deep customer insights, and business needs. 4. Galvanize technical and business stakeholders across the company to align to your vision. Lead other leaders without authority. Understand the differences in priorities across the business and across different local regions is essential. You will work with our regional teams to understand issues on the ground and make those solutions a part of your roadmap. 5. Partner with User Experience Research, Operations, and Support teams to seek insights on user problems and evangelize those problems, along with your proposed solutions, across Uber. Work with our regional teams to understand issues on the ground and make those solutions a part of their roadmap. 6. Develop positive partnerships and make strategic trade-offs advised by data. Collaborate and partner with engineering/business to develop a clear roadmap and drive execution across the organization. Work with researchers to conduct a program of quantitative and qualitative insight gathering and evaluation. Anticipate and remove obstacles that slow down or prevent us from delivering on product objectives. 7. Effectively present and communicate product strategy, implementation, and plans to various communities ranging from your immediate team to business audiences, external partners, and executive leadership. 8. Build and cultivate a strong team culture with a focus on execution and results. Be a highly effective collaborator and a magnet that cross-functional partners seek out for input and look forward to working with. Basic Qualifications 1. Product Experience: Minimum 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. 2. Bachelor degree or equivalent. 3. Technically proficient - You have collaborated with engineers in developing sophisticated technical architecture as part of the products you have built. You understand the right questions to pose and the right proposals to bring forward in a highly technical context, in order to optimize the team's direction to maximize utility to the user and value to the business. 4. Vision - You have crafted an inspiring and coherent product vision, multi-year strategy, and quarterly roadmap that your team and the business emphatically accepted and rallied behind. 5. Product Sense - Stellar design instincts, sharp analytical skills, and thoughtful product decisions. A high bar across the board - from your own contributions to the people you work with to the products you work on. You own what you build. 6. Experience leading product managers and product management teams. 7. Leadership Experience: Prior experience setting and delivering on a strategy you crafted, where you were accountable for the outcomes. 8. A "Driver" mentality. You are biased toward action, a great collaborator, a master disambiguate/simplifier, and constantly pushing toward clarity and delivery. 9. Grittiness. You never hesitate to roll up your sleeves and solve something hands-on. Preferred Qualifications 1. Experience working directly on Video, Recording, or Media-focused products and platforms within an engineering and product management context. 2. Experience working within a highly matrixed organization including collaborators across Product, Eng, Business Ops, Public Policy, and more. 3. Experience running sophisticated experiments to assess the efficiency of releases. 4. Experience identifying risk trends and finding efficient ways to address them. 5. Strong technical fluency in areas like mobile platforms (iOS/Android), device reliability constraints (storage, battery, bandwidth), or security/privacy tradeoffs that come with handling sensitive media. 6. Track record of pairing technical depth with strong product sense, turning complex engineering capabilities into simple, trusted, and widely adopted user experiences. For New York, NY-based roles: The base salary range for this role is USD$216,000 per year - USD$240,000 per year. For San Francisco, CA-based roles: The base salary range for this role is USD$216,000 per year - USD$240,000 per year. For Seattle, WA-based roles: The base salary range for this role is USD$216,000 per year - USD$240,000 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD$216,000 per year - USD$240,000 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'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** At Uber, our mission is to be the platform of choice for flexible earning opportunities, and we're expanding that vision through Uber AI Solutions - a new, fast-scaling marketplace that connects enterprises with top-tier, cost-effective knowledge work services such as data labeling and data collection for Gen AI, Agentic AI & Robotics. Operating with the agility of a startup and the reach of a global tech leader, our team is focused on building a seamless, scalable, and high-performance two-sided marketplace. As a Group Product Manager, you will manage product teams responsible for the demand side of the marketplace to make it easy to onboard new enterprises and to create and manage projects across all types of knowledge work. In addition, you will also manage the product team responsible for our data collection business, including partnering with various teams at Uber to build a best-in-class data collection experience within the Uber Earner app. If you're excited about building platforms that scale globally, thrive in fast-paced environments, and enjoy working at the intersection of AI, marketplaces, and system design - we'd love to hear from you. **What the Candidate Will Do** + Develop, articulate and lead a visionary product strategy for the the Data Collections business and the Demand side of the marketplace. + Collaborate with engineering, data science and design leadership to deliver high-quality, well-designed products that meet user needs and exceed business objectives. + Guide the product team to work closely with cross-functional teams to define product requirements (PRDs), prioritize features, and deliver high-quality products that meet user needs and drive business objectives. + Be incredibly truth-seeking. Collect whatever data is necessary to inform product direction, whether in the form of competitive intel, customer behavior or other business metrics. Solicit and welcome critical feedback. + Make tradeoff decisions based on technical and business insights and experimentation. + Monitor 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 and enterprises. **Basic Qualifications** + Minimum of 9+ years experience as a technical Product Manager. + B.S. in Computer Science or Engineering degree, Masters is a plus. + Must have direct experience managing managers, this will be a leadership role. + Deep experience with ML products, ideally in a marketplace environment. **Preferred Qualifications** + Data-driven decision-making ability and a "driver" personality for pushing toward clarity and balancing the need for great collaboration. + High attention to detail and proven track record to multi-task and manage competing priorities. + Very strong communication skills, both written and verbal. + Ability to thrive in cross-functional environments and work backward from the needs of your customers to build solutions that scale. + We don't expect you to code, but you should feel comfortable discussing deep technical topics with engineering teams and the platform users. + A passion for Uber's mission and technology-driven culture, along with a deep desire to grow and learn! For Sunnyvale, CA-based roles: The base salary range for this role is USD$252,000 per year - USD$280,000 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- ***************************************************************************************************

**About the Role** Uber AI 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. The Moonshot AI team focuses on optimizing the Uber AI Solutions gig marketplace through intelligent supply and demand matching. We also accelerate human-in-the-loop data annotation with automation and develop robust automated evaluation systems. We are in the early stages, with significant opportunities to build new ML models for the gig marketplace. This includes integrating advanced ML models to enable ML-assisted annotations for various use cases, such as Gen AI Labeling, Image/Audio/Video Classification, and Image/Video Segmentation, building LLM-as-Judge for automated quality evaluation, training ranking models to recommend gigs to earners, etc.. In this role, you will collaborate closely with product managers, program managers, and cross-functional teams to deliver real world impact. You'll help grow Uber AI Solutions into a leader in the space. **What You'll Do** 1. Contribute to and influence the technical direction for Uber AI Solutions, particularly around ML applications and research. 2. Identify and choose the right problems that will benefit from ML expertise. 3. Design and develop a suite of ML models that will help solve the above problems. 4. Collaborate with backend and frontend engineers to integrate your solutions into our products & platforms. 5. Explore novel ideas and innovative solutions that can lead to a step change in our products 6. Work with cross-functional counterparts like the ML Ops team to understand their needs and improve the models accordingly. 7. Provide mentorship to engineers on the team and across partner orgs to help raise the technical bar. **Basic Qualifications** 1. Ph.D., MS, or Bachelors degree in Computer Science or a closely related discipline. 2. Proficiency in Computer Vision (CV), Natural Language Processing (NLP), or Deep Learning, with a solid grasp of the latest advancements in Generative AI. 3. Strong desire for continuous learning and professional growth, coupled with a commitment to developing best-in-class systems. 4. Excellent problem-solving and analytical abilities. 5. Proven ability to collaborate effectively as a team player. **Preferred Qualifications** 1. 8+ years of industry experience in ML/AI. 2. A strong publication record in top-tier AI/ML conferences and journals, demonstrating a history of impactful research. 3. Proven track record of training large models on distributed infrastructure. 4. Demonstrated ability to rapidly prototype, signaling curiosity and an experimental approach. 5. Experience collaborating effectively across an organization, not limited to just within teams. For San Francisco, CA-based roles: The base salary range for this role is USD$223,000 per year - USD$248,000 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD$223,000 per year - USD$248,000 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- ***************************************************************************************************

About the Role At Uber, our mission is to be the platform of choice for flexible earning opportunities, and we're expanding that vision through Uber AI Solutions - a new, fast-scaling marketplace that connects enterprises with top-tier, cost-effective knowledge work services such as data labeling and data collection for Gen AI, Agentic AI & Robotics. Operating with the agility of a startup and the reach of a global tech leader, our team is focused on building a seamless, scalable, and high-performance two-sided marketplace. As a Group Product Manager, you will manage product teams responsible for the demand side of the marketplace to make it easy to onboard new enterprises and to create and manage projects across all types of knowledge work. In addition, you will also manage the product team responsible for our data collection business, including partnering with various teams at Uber to build a best-in-class data collection experience within the Uber Earner app. If you're excited about building platforms that scale globally, thrive in fast-paced environments, and enjoy working at the intersection of AI, marketplaces, and system design - we'd love to hear from you. What the Candidate Will Do * Develop, articulate and lead a visionary product strategy for the the Data Collections business and the Demand side of the marketplace. * Collaborate with engineering, data science and design leadership to deliver high-quality, well-designed products that meet user needs and exceed business objectives. * Guide the product team to work closely with cross-functional teams to define product requirements (PRDs), prioritize features, and deliver high-quality products that meet user needs and drive business objectives. * Be incredibly truth-seeking. Collect whatever data is necessary to inform product direction, whether in the form of competitive intel, customer behavior or other business metrics. Solicit and welcome critical feedback. * Make tradeoff decisions based on technical and business insights and experimentation. * Monitor 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 and enterprises. Basic Qualifications * Minimum of 9+ years experience as a technical Product Manager. * B.S. in Computer Science or Engineering degree, Masters is a plus. * Must have direct experience managing managers, this will be a leadership role. * Deep experience with ML products, ideally in a marketplace environment. Preferred Qualifications * Data-driven decision-making ability and a "driver" personality for pushing toward clarity and balancing the need for great collaboration. * High attention to detail and proven track record to multi-task and manage competing priorities. * Very strong communication skills, both written and verbal. * Ability to thrive in cross-functional environments and work backward from the needs of your customers to build solutions that scale. * We don't expect you to code, but you should feel comfortable discussing deep technical topics with engineering teams and the platform users. * A passion for Uber's mission and technology-driven culture, along with a deep desire to grow and learn! For Sunnyvale, CA-based roles: The base salary range for this role is USD$252,000 per year - USD$280,000 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.

About the Role At Uber, "Stand for Safety" is a core value and central to our mission of reimagining how the world moves. The Safety Product team builds innovative technologies that enhance safety for riders, drivers, couriers, and the communities we serve. As a Lead Product Manager for the Safety Media team, you will lead our mission to build recording products that can bring additional peace of mind to every ride. You'll be responsible for delivering scalable, user-friendly solutions that see broad adoption across our platform. In this role, you will drive the next-gen of on-device recording tech, building reliable video & audio capture that works across diverse devices & conditions. Your work will operate at a massive scale, supporting recording for millions of trips every day across thousands of device types in over 70+ countries, giving riders and drivers added protection. This role requires a strong technical background, exceptional leadership skills, and a passion for driving innovation in the safety space. What the Candidate Will Do 1. You will partner with leads from Engineering, Data Science, Operations, Design, and Support to establish a bold vision and execute on it in a way that balances speed, technical depth, engineering considerations and quality. 2. You will combine technical expertise with strong product sense, diving deep into technical and analytical challenges yourself, while obsessing over user experience & find novel solutions. You will work side by side with engineers & design to prototype new device media capabilities, test them in real-world scenarios, and iterate quickly to validate technical feasibility & user value. 3. You will need to be an inspirational leader for your team and cross-functional stakeholders. Internalize and deeply understand Uber's mission and strategies, as well as the mission and objectives of your team. Formulate a long and short-term product strategy to develop breakthrough products and solutions based on deep customer insights, and business needs. 4. Galvanize technical and business stakeholders across the company to align to your vision. Lead other leaders without authority. Understand the differences in priorities across the business and across different local regions is essential. You will work with our regional teams to understand issues on the ground and make those solutions a part of your roadmap. 5. Partner with User Experience Research, Operations, and Support teams to seek insights on user problems and evangelize those problems, along with your proposed solutions, across Uber. Work with our regional teams to understand issues on the ground and make those solutions a part of their roadmap. 6. Develop positive partnerships and make strategic trade-offs advised by data. Collaborate and partner with engineering/business to develop a clear roadmap and drive execution across the organization. Work with researchers to conduct a program of quantitative and qualitative insight gathering and evaluation. Anticipate and remove obstacles that slow down or prevent us from delivering on product objectives. 7. Effectively present and communicate product strategy, implementation, and plans to various communities ranging from your immediate team to business audiences, external partners, and executive leadership. 8. Build and cultivate a strong team culture with a focus on execution and results. Be a highly effective collaborator and a magnet that cross-functional partners seek out for input and look forward to working with. Basic Qualifications 1. Product Experience: Minimum 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. 2. Bachelor degree or equivalent. 3. Technically proficient - You have collaborated with engineers in developing sophisticated technical architecture as part of the products you have built. You understand the right questions to pose and the right proposals to bring forward in a highly technical context, in order to optimize the team's direction to maximize utility to the user and value to the business. 4. Vision - You have crafted an inspiring and coherent product vision, multi-year strategy, and quarterly roadmap that your team and the business emphatically accepted and rallied behind. 5. Product Sense - Stellar design instincts, sharp analytical skills, and thoughtful product decisions. A high bar across the board - from your own contributions to the people you work with to the products you work on. You own what you build. 6. Experience leading product managers and product management teams. 7. Leadership Experience: Prior experience setting and delivering on a strategy you crafted, where you were accountable for the outcomes. 8. A "Driver" mentality. You are biased toward action, a great collaborator, a master disambiguate/simplifier, and constantly pushing toward clarity and delivery. 9. Grittiness. You never hesitate to roll up your sleeves and solve something hands-on. Preferred Qualifications 1. Experience working directly on Video, Recording, or Media-focused products and platforms within an engineering and product management context. 2. Experience working within a highly matrixed organization including collaborators across Product, Eng, Business Ops, Public Policy, and more. 3. Experience running sophisticated experiments to assess the efficiency of releases. 4. Experience identifying risk trends and finding efficient ways to address them. 5. Strong technical fluency in areas like mobile platforms (iOS/Android), device reliability constraints (storage, battery, bandwidth), or security/privacy tradeoffs that come with handling sensitive media. 6. Track record of pairing technical depth with strong product sense, turning complex engineering capabilities into simple, trusted, and widely adopted user experiences. For New York, NY-based roles: The base salary range for this role is USD$216,000 per year - USD$240,000 per year. For San Francisco, CA-based roles: The base salary range for this role is USD$216,000 per year - USD$240,000 per year. For Seattle, WA-based roles: The base salary range for this role is USD$216,000 per year - USD$240,000 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD$216,000 per year - USD$240,000 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'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.

_This is a hybrid role and you must be located in, or willing to relocate to San Francisco, Sunnyvale or Seattle for the position._ About the Role At Uber, we're reimagining how the world moves for the better. Uber AI Solutions powers this mission by delivering advanced capabilities in AI data solutions, data collection, localization, map editing, product testing, and more - now extending these strengths to enterprises worldwide to accelerate their own AI and automation journeys. As the BDR Manager for Uber AI Solutions, you will be a foundational leader, directly responsible for building and scaling our Business Development Representative (BDR) function at a global level. Your primary mission will be to drive top-of-funnel pipeline generation and align outbound efforts with broader business goals. You will lead and coach a team of highly-driven BDRs across multiple locations, empowering them to uncover high-value sales opportunities and execute our market strategy. This is a critical, high-visibility role. You will collaborate closely with Sales Directors, Marketing, Delivery and Product Management to define the global outbound prospecting strategy, establish effective Key Performance Indicators (KPIs), and ensure accountability for pipeline and revenue results. What You'll Do * Own the Demand Generation / Sales Development strategy and execution across target accounts and defined territories. Continuously analyze pipeline metrics (conversion rates, cycle time, MQL/SQL quality) to identify and execute levers for accelerated growth. * Lead, inspire, and develop a high-performing sales team, helping them reach their full potential and coaching them for career readiness, including development into future Account Executive positions. * Set clear, actionable goals and guide the team to achieve outstanding monthly, quarterly, and annual results, ensuring consistent, measurable revenue pipeline generation. * Act as the critical liaison between Sales and Marketing. Define and enforce strict Service Level Agreements (SLAs) for lead response, MQL-to-SQL qualification, and pipeline hygiene. * Collaborate directly with Marketing leadership to strategize, launch, and measure the effectiveness of targeted outbound campaigns, ensuring alignment with GTM initiatives. * Manage and optimize the Sales Development technology stack (e.g., Salesforce, sales engagement platforms, intent data tools) to ensure maximum team efficiency and data accuracy. * Drive the full-cycle recruiting and onboarding process for new BDRs, consistently hiring diverse, high-potential talent to meet team capacity and growth targets. * Implement a rigorous and consistent coaching program focused on advanced sales skills, personalized call coaching, and email cadencing best practices. * Collaborate with sales operations and enablement to improve processes and implement scalable best practices across the BDR team globally. * Provide accurate, timely, and detailed weekly forecasting and pipeline analysis to senior leadership, clearly articulating performance drivers, risks, and mitigation strategies. Basic Qualifications * Minimum of 6 years of experience in B2B SaaS, AI Data Solutions, Cloud Infrastructure, or Enterprise Technology Sales, including a proven, quantifiable track record of exceeding targets in a high-velocity sales environment. * Minimum of 3 years of direct, hands-on management experience leading Sales Development (SDR/BDR) or Demand Generation teams within a high-growth technology company. * Demonstrated success in defining, implementing, and optimizing sales processes (e.g., qualification criteria, cadence structures, lead management) that resulted in scalable pipeline growth. * Expert proficiency with Salesforce CRM and a working knowledge of the Sales Development Tech Stack (e.g., Outreach, Gong, Intent Data tools). Proven ability to derive actionable insights from pipeline data. * Exceptional cross-functional collaboration skills, specifically working with Marketing, Sales Operations, and Account Executive leadership to drive alignment on GTM strategy and SLAs. * A proactive, coaching-centric leadership style with a passion for mentorship and developing early-career talent into future sales leaders. Preferred Qualifications * Global Leadership: Prior experience managing geographically dispersed teams across multiple time zones (e.g., APAC, EMEA, AMER), including demonstrated success in scaling global SDR processes and standardizing playbooks internationally. Fluency in multiple languages is a plus. * Service & Solution Sales Background: Experience in demand generation or sales development for services or intangible solutions (e.g., consulting, professional services, BPO, managed services) in addition to, or instead of, pure software/SaaS sales. * Enterprise AI/ML Domain Experience: Working knowledge or direct experience selling into high-growth verticals (e.g., Supply Chain, Financial Services, Retail) with an emphasis on AI, Machine Learning, or complex cloud infrastructure solutions. * Methodology Expertise: Certification or deep experience with established sales methodologies (e.g., Challenger Sale, MEDDIC, SPIN) and implementing them effectively within a BDR coaching framework. * MBA or Advanced Degree: An MBA or relevant advanced degree is a plus. For San Francisco, CA-based roles: The base salary range for this role is USD$164,000 per year - USD$182,000 per year. For Seattle, WA-based roles: The base salary range for this role is USD$148,000 per year - USD$164,000 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD$164,000 per year - USD$182,000 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'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 At Uber, we reimagine the way the world moves for the better. There are several operations and technologies that enable this mission and "Uber AI Solutions" leads many of those capabilities. We offer 30+ advanced capabilities, including image and video annotation, text labeling, 3D point cloud processing, semantic segmentation, intent tagging, sentiment detection, document transcription, synthetic data generation, object tracking, and LiDAR annotation. The tech+ops solution coupled with Uber's strength of building a platform for flexible work will enable enterprises world-wide to accelerate their data, AI and product journeys. While we do this, we look forward to creating flexible earnings opportunities through online tasks for millions of people across the world. Together, our tech, operations expertise and platform for knowledge work are uniquely positioned to be the best-in-class human in the loop solution for the industry. What the Candidate Will Need / Bonus Points \-\-\-\- What the Candidate Will Do ---- 1. Build scalable analytical frameworks to support product analytics and experiments for Uber's New business Platform "Uber AI Solutions" 2. Be the thought leader for the team, help navigate all the ambiguous problems and create simplified effective solutions 3. Own new product experimentation including plan creation, roll-out, and monitoring 4. Be an invaluable partner to cross-functional teams such as engineering, product management, various data teams to deploy data quality across critical pipelines and to set up processes to triage data issues 5. Develop and track metrics and reporting functions to measure and monitor risk products on our platform 6. Effectively and proactively communicate insights and drive projects to drive towards team goals 7. Proactively seek out opportunities to build new solutions to tackle Risk and Identity challenges 8. Create and drive data quality standards and frameworks to ensure inclusion into pipeline engineering efforts \-\-\-\- Basic Qualifications ---- 1. 6+ years of experience (Bachelor) OR 5+ years of experience (Masters) in a data-focused role such as product analytics, business analytics, business operations, or data science 2. Education in Engineering, Computer Science, Math, Economics, Statistics or equivalent experience 3. Experience in modern programming languages (Matlab, Python) or statistical languages (SQL, SAS, R) 4. Past experience with a Product / Tech company serving millions of customers on multiple platforms and countries 5. Working Knowledge of LLMs is a plus 6. Working experience in AI companies is a plus. \-\-\-\- Preferred Qualifications ---- 01. SQL mastery. Write efficient and complex code in SQL 02. Experience in Python/R and experimentation, A/B testing, and statistical modelling 03. Experience in Payments or Compliance with a Product / Tech company 04. Proven ability to handle and visualise large datasets, explore and utilize raw data feeds 05. Love of data - you just go get the data you need and turn it into an insightful story. 06. A well-organized, structured approach to problem-solving 07. Strong sense of ownership, accountability, and entrepreneurial spirit 08. Great communicator, problem-solver & confident in decision making 09. Independent & autonomous, while still a strong teammate 10. Enthusiastic, self-starting and thrives in changing, agile environments 11. LLMs, prompt engg is a plus For San Francisco, CA-based roles: The base salary range for this role is USD$169,000 per year - USD$188,000 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD$169,000 per year - USD$188,000 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'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 The Uber Advertising Sales team is looking for strategic sellers to be founding members of our newly formed Uber Advertising division. As an Ads Sr Client Partner, you will be responsible for building mutually helpful ads partnerships with our largest partners in within the auto, gaming, and entertainment vertical. You will own the ads sales strategy for a portfolio of top brands and drive adoption of a growing suite of ads offerings across our Mobility and Delivery platforms. You will work closely with our Partner Managers to consistently deliver on our partners' marketing objectives. What You'll Do * Execute ads partnership strategies that deliver on your partners' marketing objectives and exceed quarterly growth goals * Build relationships with Director, VP and C-level marketing executives and key marketing decision makers within partner organizations * Employ critical thinking and creative problem-solving skills to navigate relationships and difficult partner conversations * Be an indispensable cross-functional partner across the Product, Marketing and Operations team to ensure we are delivering on partner needs * Expand ads product adoption across our Mobility and Delivery offerings * Clearly communicate the value of our newest ads products with a lens of creativity to differentiate our offerings * Develop pitch narratives that scale across our Ads team and drive growth for our partners * Be ready to wear many hats to build our business and jump in to help your teammates when the need arises * Be the voice of the customer to help inform future Ads product roadmaps Basic Qualifications * At least 5+ years of full-time experience, ideally in end-to-end Enterprise / Large Customer Digital Advertising Sales * Experience selling advertising solutions to large, complex enterprise brands and organizations Preferred Qualifications * Excellent negotiation and problem solving skills * Ability to build and implement strategic sales plans that result in success for our partners and Uber * Creative storyteller with the ability to use data to quantify opportunities and influence decision makers * Excellent listening, communication, and organizational skills * Speed, resourcefulness, and a go-getter mentality. You are comfortable working in a fast-paced environment and navigating ambiguity * Comfortable working in a fast paced environment and navigating ambiguity For Los Angeles, CA-based roles: The base salary range for this role is USD$131,000 per year - USD$145,000 per year. 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'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.