Senior Manager Of Business Operations jobs at eBay - 645 jobs

A leading technology company in San Francisco is looking for an Operations Engineering Program Manager to oversee refurb product readiness and lead strategic service programs. The ideal candidate will have significant project management experience, strong analytical skills, and the ability to work collaboratively across multiple functions. This role involves complex problem-solving and influencing key decisions to enhance operational efficiency. Competitive compensation package and robust benefits are offered. #J-18808-Ljbffr

A leading technology firm is seeking an Associate Partner Manager for Play Games Partnerships. The role involves managing game developer partnerships, providing strategic advice, and ensuring successful platform integration. Candidates should have a bachelor's degree and at least 4 years of relevant experience, especially in business development or management consulting. The position offers a competitive salary, bonus, and equity, and is based in multiple locations in California. #J-18808-Ljbffr

We are seeking an Executive Assistant Business Partner 2 (EABP2) to join Intuit's People & Places Organization, directly supporting the Talent Acquisition (TA) function by acting as a strategic business partner and operational right hand for a VP and up to two Directors in this fast-paced environment. The ideal candidate is an extremely resourceful, high-energy, and enthusiastic individual with strong business acumen and a passion for Customer Obsession, dedicated to ensuring smooth operational execution across complex systems and stakeholders. This loyal, dependable, and self-motivated professional must be seamless under pressure, committed to excellence, and capable of exercising absolute discretion on highly confidential materials while utilizing strong leadership abilities and a great sense of humor in a results-oriented setting. Responsibilities Strategic Partnership & Operations: Serve as the primary operational partner to a VP and up to two Directors, proactively managing complex systems, anticipating business needs, and streamlining processes to ensure the executive team's time is maximized for strategic priorities. Executive Support: Manage complex and ever-changing calendars, travel arrangements (domestic and international), and expense reports with meticulous attention to detail. Communication & Stakeholder Management: Triage and prioritize incoming communication, often acting as a key point of contact. Apply a customer-obsessed mindset to all interactions with internal and external partners. Meeting & Event Management: Plan, organize, and execute leadership team meetings, offsites, team events, and larger TA or People & Places events, including agenda preparation, material distribution, venue logistics, and technology setup. Project Coordination: Assist with tracking key TA projects, initiatives, and deliverables. Follow up on action items and help leaders stay on track with organizational priorities. Culture & Leadership: Act as a team player who leverages strong organizational skills and strong leadership abilities to help the team thrive in a results-oriented environment. Qualifications Experience: 8+ years of experience providing strategic administrative support to senior-level executives (VP, SVP, or equivalent) in a fast-paced, large corporate environment, preferably within Human Resources, Talent Acquisition, or a related function. Organizational Mastery: Possesses a strong ability to organization (highly organized) and excellent time management skills. Teamwork & Collaboration: Proven track record of successfully working as a team player and actively engaging within a large Executive Assistant community to share best practices and ensure seamless cross-functional support. Business Acumen & Operations: Demonstrated ability to understand organizational priorities and processes, acting as an effective operational leader. Discretion & Confidentiality: Proven ability to maintain discretion on highly confidential and sensitive materials and act with integrity at all times. Anticipation & Multi-Tasking: Exceptional strong organizational skills with the ability to prioritize, multi-task, anticipate needs, troubleshoot, and work under pressure. Proactive & Resourceful: Demonstrated success as an extremely resourceful individual who takes initiative and works independently with minimal direction. Technical Proficiency: Strong computer skills with expert-level proficiency in MS Suite (Slides, Sheets, Doc), along with familiarity with collaboration tools (e.g., Slack, SharePoint, Zoom, Concur). Communication: Superior written and verbal communication skills; ability to interact confidently and professionally with all levels of the organization and external partners. Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit : Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position for San Diego is: $46-62/hr. #J-18808-Ljbffr

Imagine what you could do here. The people here at Apple don't just create products - they create the kind of wonder that's revolutionized entire industries. It's the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it! Apple's Sales organization generates the revenue needed to fuel our ongoing development of products and services. This in turn, enriches the lives of hundreds of millions of people around the world. As part of our Business Operations team, you will be responsible for supporting sales teams to deliver Apple technology to consumer partners. In this role, you will work closely with sales, supply chain, reseller operations and finance teams to analyze business performance, understand market dynamics, provide insights on this performance to leadership, identify weekly opportunities and playbook(s) of actions to be driven across the team. You will set quotas for the sales team and reseller incentive programs in partnership with finance team and measure performance against the targets. You will be responsible for driving special projects cross functionally that impact our business in the short and long term. You will help drive the preparation of weekly reviews/materials to assess performance of business, monitor/analyze daily/weekly performance, help identify opportunities and insights to improve performance, and drive execution across teams to achieve the forecast/goal. You will collaborate with engineers and data scientists to identify use cases for AI/ML that can provide valuable insights and drive business growth. As a Carrier Sales Business Operations Lead, you will: Own business performance analysis for certain lines of business - identifying variances, defining causes, specifying potential actions and their impact. Lead cross-functional team that dives deep across a range of factors (micro + macro) influencing the performance of certain lines of businesses. Lead US Leadership team's preparation for bi-weekly Sales Review with C-suite leadership and other reporting in key seasonal moments / new product launches. Analyze sales performance for sales leadership; highlight implications and suggest actions for improvement. Engage in allocation and supply analytics by collaborating with supply chain, finance, and sales teams. Lead cross functional team for managing excess inventory. Support forecast calls, evaluation of inventory needs, etc. Provide analytics to manage trade-offs in times of product constraint (within business, across the U.S.). Serve as a business owner to internal AI/ML engineering and data science teams helping drive forward the vision for internal systems and tools driving business automation. MBA or equivalent experience is advantageous but not required Tableau Desktop experience Outstanding verbal u0026 written communication skills Experience supporting cross-functional projects within a large organization, with an emphasis on collaboration and coordination across teams A solid understanding of the consumer electronics industry (products, technologies, trends) Experience in using or implementing AI/ML to drive automation Ability to see around corners and look beyond just today. Have an understanding of the competitive carrier/telco landscape, industry trends, and external pressures. See the world through the eyes of the customer Array

**Weekly Hours:** 40 **Role Number:** 200*********** Imagine what you could do here. The people here at Apple don't just create products - they create the kind of wonder that's revolutionized entire industries. It's the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it! Apple's Sales organization generates the revenue needed to fuel our ongoing development of products and services. This in turn, enriches the lives of hundreds of millions of people around the world. As part of our Business Operations team, you will be responsible for supporting sales teams to deliver Apple technology to consumer partners. In this role, you will work closely with sales, supply chain, reseller operations and finance teams to analyze business performance, understand market dynamics, provide insights on this performance to leadership, identify weekly opportunities and playbook(s) of actions to be driven across the team. You will set quotas for the sales team and reseller incentive programs in partnership with finance team and measure performance against the targets. You will be responsible for driving special projects cross functionally that impact our business in the short and long term. You will help drive the preparation of weekly reviews/materials to assess performance of business, monitor/analyze daily/weekly performance, help identify opportunities and insights to improve performance, and drive execution across teams to achieve the forecast/goal. You will collaborate with engineers and data scientists to identify use cases for AI/ML that can provide valuable insights and drive business growth. **Description** As a Carrier Sales Business Operations Lead, you will: Own business performance analysis for certain lines of business - identifying variances, defining causes, specifying potential actions and their impact. Lead cross-functional team that dives deep across a range of factors (micro + macro) influencing the performance of certain lines of businesses. Lead US Leadership team's preparation for bi-weekly Sales Review with C-suite leadership and other reporting in key seasonal moments / new product launches. Analyze sales performance for sales leadership; highlight implications and suggest actions for improvement. Engage in allocation and supply analytics by collaborating with supply chain, finance, and sales teams. Lead cross functional team for managing excess inventory. Support forecast calls, evaluation of inventory needs, etc. Provide analytics to manage trade-offs in times of product constraint (within business, across the U.S.). Serve as a business owner to internal AI/ML engineering and data science teams helping drive forward the vision for internal systems and tools driving business automation. **Minimum Qualifications** + BA/BS degree or equivalent experience in sales operations, business planning, finance, strategy and/or analytics + 8+ years work experience in sales operations, business planning, consulting, finance, strategy and/or analytics + Demonstrated success in relevant positions encompassing consumer/business intelligence, product marketing, product management, commercial management, finance and/or strategy planning + Strong cross-functional communication skills and experience managing deliverables across different teams + Possess a high level of numeracy and data management capabilities and excellent analytic and presentation/communication skills + Demonstrated success working in a fast-pace ambiguous work environment + Advanced Excel and presentation-building (e.g. Keynote) skills + Experience in generating insights from large data sets and telling a story + Experience partnering with engineering / data science teams to provide the voice of the business and help drive the internal systems/tools roadmap forward **Preferred Qualifications** + MBA or equivalent experience is advantageous but not required + Tableau Desktop experience + Outstanding verbal & written communication skills + Experience supporting cross-functional projects within a large organization, with an emphasis on collaboration and coordination across teams + A solid understanding of the consumer electronics industry (products, technologies, trends) + Experience in using or implementing AI/ML to drive automation + Ability to see around corners and look beyond just today. Have an understanding of the competitive carrier/telco landscape, industry trends, and external pressures. See the world through the eyes of the customer Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant (*********************************************************************************************** .

Senior Finance Manager, Cloud Product FinanceApply X In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. include: Health, dental, vision, life, disability insurance Retirement Benefits: 401(k) with company match Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment Sick Time: 40 hours/year (statutory, where applicable); 5 days/event (discretionary) Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks Baby Bonding Leave: 18 weeks Holidays: 13 paid days per year Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Kirkland, WA, USA; Sunnyvale, CA, USA. Qualifications Bachelor's degree in Business, Finance, Economics, Statistics, or another quantitative field, or equivalent practical experience. 14 years of experience in financial planning and analysis (FP&A), consulting, or a related function, or an advanced degree. Experience building, developing and leading a team. Experience in financial modeling and analysis (e.g., Net Present Value (NPV), Internal Rate of Return (IRR), Payback Period, and Margin Analysis). \ with SQL, large datasets, and integrated financial systems. Knowledge of Cloud infrastructure, hardware (e.g., GPUs and custom silicon), and data center operations. Ability to and SVPs across engineering, product, and sales with excellent investigative and communication skills. Ability to balance immediate free cash flow maximization with long‑term priorities in a changing, unstructured environment. About the job Serve as the lead advisor to Cloud leadership on AI and "Classic" compute capital allocation, developing frameworks that balance immediate business maximization with long‑term strategic projects. Resolve regional misalignments where demand exceeds available capacity and vice versa. Build and scale unified planning mechanisms to bridge fragmented teams and create a "Plan of Record" used by the C‑suite to ensure operational execution aligns with financial commitments. Lead Net Present Value (NPV)-based "Retire vs. Reuse" frameworks to optimize the fleet and develop models that evaluate options for mitigating near‑term power and space constraints. Author high‑stakes narratives for executive leadership and the board of directors, including monthly budget updates, (CapEx) investment documents, and long‑term infrastructure strategy. Financial Analysts ensure that Google makes sound financial decisions. As a Financial Analyst, your work-whether model business scenarios metrics-is used by leaders to make strategic company decisions. You manage multiple projects, focus on details, and tackle big picture challenges. As a Senior Finance Manager for Cloud Product Finance, you will lead financial strategy and capacity‑planning mechanisms that drive Google Cloud's infrastructure investments. You serve as a primary bridge between Planning and Engineering, aligning planning across compute capacity and AI/GPU acceleration. You also partner cross‑functionally to integrate near‑term power signals into the overarching product strategy. In this role you lead a high‑performing team with end‑to‑end ownership of demand forecasts for multi‑billion‑dollar infrastructure lifecycles, directly influencing capital allocation, asset payback economics, ROIC, and free cash flow. United States base salary range for this full‑time position is $211,000-$297,000 plus bonus, equity, and benefits. Salary ranges are determined by role, level, and location, with individual pay based on job‑related skills, experience, and education. Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents‑to‑be, criminal histories consistent with legal requirements, or any other basis protected by law. We require English proficiency for all roles unless stated otherwise. No‑agency recruitment policy: Google does not accept agency resumes. Do not forward resumes to our jobs alias, Google employees, or any other organization location. #J-18808-Ljbffr

A leading e-commerce company is seeking an Area Manager to lead a team in San Francisco. This role involves supporting and motivating the hourly workforce, managing safety, quality, and productivity, and ensuring customer delivery promises. Candidates should have at least 2 years of employee management experience and a Bachelor's degree or equivalent. This position offers a salary range of $77,000.00 to $100,000.00 annually, along with comprehensive benefits and opportunities for professional growth. #J-18808-Ljbffr

External job description. Our WW Operations network delivers millions of packages and smiles to Amazon customers every day. We are looking for motivated, customer-focused individuals who want to join our team as an Area Manager. In this role, you will lead a team of hourly workforce and will be responsible for engaging your team during their shifts to maintain the highest levels of safety, quality, attendance, and performance. You will also play a key role in maintaining our customer expectations to ensure customer orders are delivered at the right time, to the right location. Our Operation's workflow has three major components: First mile (where the product is housed and ready for order); Middle mile (where the order is hauled to your area); and Last mile (when the product is delivered to the customer's door). Please note that all workflows have slight building variations, but one thing is constant: our vision and dedication to the customer. Our fulfillment network launches new Operations sites every year, providing various opportunities for your professional growth. We hire Area Managers based on location preference and the business' current openings. Responsibilities Support, mentor, and motivate your hourly workforce Manage safety, quality, productivity, and customer delivery promises Collaborate with all support teams including Safety, Engineering, Loss Prevention, Quality Assurance, Human Resources to develop plans to meet business objectives Lead a team of Process Assistants, Learning Ambassadors (2-5 front-line non-exempt leaders and 1-2 Learning Ambassadors depending on location) and associates (English and/or ASL). Carry out supervisory responsibilities in accordance with the organization's policies and procedures, including bilingual support as needed Lift up to 49 pounds and frequently push, pull, squat, bend, and reach Stand or walk for up to 12 hours during shifts Work in environments with variable noise levels and temperatures (delivery stations include outside loading departments) Continuously climb and descend stairs (applies to sites with stairs) Basic Qualifications 2+ years of employee and performance management experience Bachelor's degree or equivalent, or 2+ years of Amazon (blue badge/FTE) experience Ability to work a flexible schedule including weekends, nights, and/or holidays Preferred Qualifications 1+ years of performance metrics, process improvement or lean techniques experience Able to communicate fluently in both English and ASL EEO notice: Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: job duties include working safely, communicating effectively, and following laws and policies. Criminal history may have a direct, adverse relationship with job duties. We will consider qualified applicants with arrest and conviction records per local ordinances (e.g., Los Angeles County Fair Chance Ordinance). We will also consider qualified applicants with arrest and conviction records per the San Francisco Fair Chance Ordinance. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit ********************************************************* for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Compensation and Benefits The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon offers comprehensive benefits including health insurance (medical, dental, vision, prescription, and life/AD&D), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at ******************************* . Location: USA, CA, San Francisco - 77,000.00 to 100,000.00 USD annually Posted: January 12, 2026 (Updated 2 days ago) Posted: January 8, 2026 (Updated 3 days ago) Posted: January 14, 2026 (Updated 3 days ago) Posted: January 8, 2026 (Updated 8 days ago) Posted: July 10, 2025 (Updated 9 days ago) Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. #J-18808-Ljbffr

The Amazon Publisher Monetization Stores team is seeking an experienced Manager, Applied Science to lead our Stores Supply Science team and our Stores Supply Applied Science Engineering team. In this role, you will be responsible for developing novel machine learning and optimization solutions to drive improvements in the monetization of digital content for Amazon's publishing partners. You will collaborate closely with product, engineering, and business stakeholders to identify high-impact opportunities, define technical roadmaps, and deliver innovative solutions at scale. Equally importantly you will represent APM Stores Science across the broader Ads science community (e.g. Sponsored Products, Sponsored Brands, DSP and Ads Econ) and drive collaboration and harmonization. This is an exciting opportunity to leverage your depth of applied science expertise to shape the future of Amazon's publisher monetization platform and have a significant impact on the business. Key Responsibilities Lead the Stores Supply Science team and Applied Science Engineering teams as a direct manager, setting the technical vision and implementation, managing performance, and developing your team members Work closely with product, engineering, and business stakeholders to define the technical roadmap and ensure the delivery of high-impact solutions Represent APM Stores Science across the broader Ads science community Identify new opportunities to leverage data and advanced analytics to unlock value for Amazon's publishing partners Foster a culture of innovation, agility, and customer obsession within your teams A day in the life Meeting with product and business leaders to understand their challenges and align on strategic priorities Reviewing progress and providing guidance to your direct reports on the Stores Supply Science and Applied Science engineering teams Defining the technical roadmap and implementation plan for new models in collaboration with engineering teams Presenting your teams' work and recommendations to senior leadership Providing career feedback and growth opportunities to your direct reports Staying abreast of the latest advancements in machine learning and other scientific disciplines and exploring how they could be applied to our business Basic Qualifications 3+ years of scientists or machine learning engineers management experience 3+ years of building machine learning models for business application experience PhD, or Master's degree and 5+ years of applied research experience Knowledge of ML, NLP, Information Retrieval and Analytics Experience programming in Java, C++, Python or related language 4+ years of applied research experience Preferred Qualifications Experience building complex software systems, especially involving deep learning, machine learning and computer vision, that have been successfully delivered to customers Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit ********************************************************* for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. USA, NY, New York - 202,200.00 - 273,600.00 USD annually Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at ******************************** #J-18808-Ljbffr

As Director of the Assisted Services Growth team, you will be responsible for building and leading the customer experience practice to drive innovation in the way we attract and serve our Assisted customers to drive exponential growth and retention. This role will design experiences that elevate human expertise and connection, powered by AI, to drive scale. This team will have their fingers on the pulse of our Assisted customers' needs, will sweat the details to ensure we deliver awesome experiences and operate with velocity. You will also provide operational and thought leadership by setting strategy, developing priorities and managing programs that drive a highly effective and scalable organization, through innovation and experimentation. Responsibilities * Build and execute a vision for Assisted customer experiences that is aligned to our strategic Consumer Ecosystem priorities, for seamless, transparent and frictionless experiences that drive exponential growth and retention leveraging human expertise and AI. * Design new brick and mortar customer and expert experiences that attract new Assisted customers seeking local support, with seamless integration with virtual experiences. * Establish a 'sales through service' culture and expand scope to include lead management and conversion capabilities and best practices. * Build comprehensive customer lifecycle management program inclusive of year-round expert led customer engagement model and seamless ecosystem cross-sells and servicing across Quickbooks and TurboTax. * Lead, organize and scale the CXM practice within the organization to optimize our Assisted customer experiences. This includes aggregating quantitative and qualitative insights, and collaborating with marketing, product management and development teams to build, fix and enhance our products and experiences.. * Uses advocacy and inquiry to disrupt and challenge the status quo, proposing broad and strategic solutions to ensure product and experience design eliminates friction and provides the best possible experience. * Establish business goals to deliver our vision through customer and expert measures focused on growth, customer experience and scalability. * Stay on top of industry leading trends This position will report into the Assisted Services team within Consumer Ecosystem Customer Success and sits on a cross-functional Leadership Team. You will contribute to the strategic plans and associated products and services, proactively collaborating with Product Management, Marketing, Sales and Customer Success leaders to drive growth. Qualifications A critical element of your role will be to create a well-integrated and highly effective team, partnering across multiple teams and segments. You will ensure an engaged workforce through frequent communication, goal setting, performance management and creating a positive environment of trust, transparency and clear expectations. Proven track record of success and significant experience in a fast-paced organization, leading customer centric operations and teams. The ideal candidate is a: * Team & Talent Builder: Has substantial senior leadership experience, managing senior level employees and/or other managers. A talent steward with a proven history of hiring, managing and developing high performing and highly engaged teams. Can coach and train others within teams and across the organization about the importance of curiosity in bold, large scale problems. * Boundaryless Leader: Cross-functional leadership experience, partnering to influence different functions at all levels. Can create alliances with other leaders across the organization to ensure solutions are backed up with data and being implemented with a systemic and strategic approach. * Strategic Thinking: Defines the overall strategy to ensure business growth and utilizes powerful messages to lead and promote a culture focused on problem solving. Uses external expertise, data and network to ensure best practices and trends are being leveraged. * Pace Setter: Role-models and operates with a sense of urgency to ensure teams are delivering with velocity. * Product Management & Experience Design Expert: Customer champion with a design mindset and demonstrated strengths in product management or experience design. Have led the creation of online and brick and mortar experiences, with a seamless customer handoff between the two (from concept through production). * Business Leader: Business acumen with proven ability to deliver programs that accelerate organizational growth objectives. Must possess experience in developing clear compelling business cases that support prioritization of work. Aligns teams and initiatives around the organization to our short, medium and long term business goals. * Customer Service & Support Expert: Demonstrated strength managing or working with customer support organizations and operations (direct or via BPO). * Change Leader: Experience in a dynamic work environment, managing and executing complex system and organizational change initiatives. * Communicator: Excellent written and verbal communication skills including an ability to communicate complex issues simply. Proficient in MS Word, Excel, and PowerPoint. Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is:

Minimum qualifications: Bachelor's degree or equivalent practical experience. 5 years of experience in program management or a related operational role. Experience working with executive-level clients or stakeholders. Experience in managing multiple projects and priorities in a changing environment. Preferred qualifications: Understanding how to use and interpret analytics to drive program outcomes. Ability to serve as a domain expert, balancing the needs of the business with optimal process application. Ability to lead operational initiatives with delivery against milestones. Excellent organizational skills for both individual work and holistic project management. Excellent capability in creating compelling presentations and documents with a high attention to detail. Demonstrated ability to drive program management by tracking progress, facilitating meetings, and managing action items while solving cross-functional issues across large stakeholder groups. About the jobA problem isn't truly solved until it's solved for all. That's why Googlers build products that help create opportunities for everyone, whether down the street or across the globe. As a Program Manager at Google, you'll lead complex, multi-disciplinary projects from start to finish - working with stakeholders to plan requirements, manage project schedules, identify risks, and communicate clearly with cross-functional partners across the company. Your projects will often span offices, time zones, and hemispheres. It's your job to coordinate the players and keep them up to date on progress and deadlines. The US base salary range for this full-time position is $130,000-$191,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google. Responsibilities Manage projects and utilize project trackers to oversee timelines and deliverables. Ensure all workstreams have clear owners and that progress is monitored against milestones, reconciling competing priorities as needed. Develop compelling communication materials (slides, docs) to engage leaders within REWS and across Product Areas. Facilitate effective meetings with clear agendas and actionable follow-ups to build consensus and drive cross-functional decision-making. Lead changes management efforts to drive program adoption and organizational readiness. Leverage data and analytics to report on progress, outcomes, and deliverables, while conducting post-mortems to capture lessons learned. Bring order to ambiguity by defining problems and crafting custom solutions. Proactively identify cross-organizational opportunity areas, refine processes, and contribute to the development of program management best practices

_corporate_fare_ Google _place_ Sunnyvale, CA, USA **Mid** Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area. **Minimum qualifications:** + Bachelor's degree or equivalent practical experience. + 5 years of experience in program management or a related operational role. + Experience working with executive-level clients or stakeholders. + Experience in managing multiple projects and priorities in a changing environment. **Preferred qualifications:** + Understanding how to use and interpret analytics to drive program outcomes. + Ability to serve as a domain expert, balancing the needs of the business with optimal process application. + Ability to lead operational initiatives with delivery against milestones. + Excellent organizational skills for both individual work and holistic project management. + Excellent capability in creating compelling presentations and documents with a high attention to detail. + Demonstrated ability to drive program management by tracking progress, facilitating meetings, and managing action items while solving cross-functional issues across large stakeholder groups. **About the job** A problem isn't truly solved until it's solved for all. That's why Googlers build products that help create opportunities for everyone, whether down the street or across the globe. As a Program Manager at Google, you'll lead complex, multi-disciplinary projects from start to finish - working with stakeholders to plan requirements, manage project schedules, identify risks, and communicate clearly with cross-functional partners across the company. Your projects will often span offices, time zones, and hemispheres. It's your job to coordinate the players and keep them up to date on progress and deadlines. The US base salary range for this full-time position is $130,000-$191,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more aboutbenefits at Google (************************************* . **Responsibilities** + Manage projects and utilize project trackers to oversee timelines and deliverables. Ensure all workstreams have clear owners and that progress is monitored against milestones, reconciling competing priorities as needed. + Develop compelling communication materials (slides, docs) to engage leaders within REWS and across Product Areas. Facilitate effective meetings with clear agendas and actionable follow-ups to build consensus and drive cross-functional decision-making. + Lead changes management efforts to drive program adoption and organizational readiness. Leverage data and analytics to report on progress, outcomes, and deliverables, while conducting post-mortems to capture lessons learned. + Bring order to ambiguity by defining problems and crafting custom solutions. Proactively identify cross-organizational opportunity areas, refine processes, and contribute to the development of program management best practices Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) . Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy (******************************************************* ,Know your rights: workplace discrimination is illegal (**************************************************************************** ,Belonging at Google (******************************** , and How we hire (**************************************** . If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form (*************************************** . Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also ******************************* and ************************************************************* If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: ***************************************

Apply share * link Copy link * email Email a friend Minimum qualifications: * Bachelor's degree or equivalent practical experience. * 5 years of experience in program management or a related operational role. * Experience working with executive-level clients or stakeholders. * Experience in managing multiple projects and priorities in a changing environment. Preferred qualifications: * Understanding how to use and interpret analytics to drive program outcomes. * Ability to serve as a domain expert, balancing the needs of the business with optimal process application. * Ability to lead operational initiatives with delivery against milestones. * Excellent organizational skills for both individual work and holistic project management. * Excellent capability in creating compelling presentations and documents with a high attention to detail. * Demonstrated ability to drive program management by tracking progress, facilitating meetings, and managing action items while solving cross-functional issues across large stakeholder groups. About the job A problem isn't truly solved until it's solved for all. That's why Googlers build products that help create opportunities for everyone, whether down the street or across the globe. As a Program Manager at Google, you'll lead complex, multi-disciplinary projects from start to finish - working with stakeholders to plan requirements, manage project schedules, identify risks, and communicate clearly with cross-functional partners across the company. Your projects will often span offices, time zones, and hemispheres. It's your job to coordinate the players and keep them up to date on progress and deadlines. The US base salary range for this full-time position is $130,000-$191,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google. Responsibilities * Manage projects and utilize project trackers to oversee timelines and deliverables. Ensure all workstreams have clear owners and that progress is monitored against milestones, reconciling competing priorities as needed. * Develop compelling communication materials (slides, docs) to engage leaders within REWS and across Product Areas. Facilitate effective meetings with clear agendas and actionable follow-ups to build consensus and drive cross-functional decision-making. * Lead changes management efforts to drive program adoption and organizational readiness. Leverage data and analytics to report on progress, outcomes, and deliverables, while conducting post-mortems to capture lessons learned. * Bring order to ambiguity by defining problems and crafting custom solutions. Proactively identify cross-organizational opportunity areas, refine processes, and contribute to the development of program management best practices

info_outline X This role may also be located in our Playa Vista, CA campus. Applicants in the County of Los Angeles: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Note: By applying to this position you will have an opportunity to share your preferred working location from the following: San Bruno, CA, USA; Chicago, IL, USA; New York, NY, USA; Los Angeles, CA, USA. Minimum qualifications: Master's degree in a quantitative discipline such as Statistics, Engineering, Computer Sciences or equivalent practical experience. 9 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or performing statistical analysis. 5 years of experience as a people manager within a technical leadership role. Experience in causal inference, A/B testing, statistical modeling, or machine learning. Experience in SQL and Python programming, leveraging ML or statistical libraries (e.g., TensorFlow, Scikit-learn, XGBoost, Keras, Pandas). Preferred qualifications: Experience with causal inference or bayesian statistics. About the job YouTube Marketing Data Science, Infrastructure and Analytics (DSIA) is an analyst team that influences and informs YouTube's marketing and products teams. We work on projects that are at the heart of the go-to-market and brand strategy for YouTube using data to ensure our marketing efforts are efficiently and effectively deployed. This role will lead to a team that drives full stack measurement and insights for YouTube shopping and creator marketing. In this role, you will work closely with YouTube's marketing and product to grow our creator community with life-cycle communications that drive valuable creator actions (e.g., joining our shopping business generation programs, enabling channel memberships, adopting new features etc). You will develop an understanding of creator propensity and uplift from marketing such that interventions achieve outsized return on investment and are driving meaningful creator interactions. You will also shape our initial viewer marketing to drive YouTube shopping, working closely with marketing, product, and engineering. You will ensure experimentation plans and signal mapping can grow awareness and adoption of YouTube shopping for our viewers.The US base salary range for this full-time position is $248,000-$349,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google. Responsibilities Lead a team of business data scientists and analysts in delivering project work including implementing data science solutions, improving data pipelines, developing evaluation metrics, or building statistical models that provide insights to the business. Embed with marketing leadership on YouTube shopping and YouTube creators to understand their high level goals and translate those into data science and investigative priorities. Design experiments and use causal inference to measure effectiveness of models, tools, and programs. Drive internal visibility and opportunities for the team, define team strategy in partnership with leadership and stakeholders, and remove technical and organizational blockers. Build a team with a collaborative and growing growth culture. Develop team to reach their career goals through coaching and development opportunities.

_corporate_fare_ YouTube _place_ San Bruno, CA, USA; Chicago, IL, USA; +3 more; +2 more **Advanced** Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain. _info_outline_ X This role may also be located in our Playa Vista, CA campus. Applicants in the County of Los Angeles: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Note: By applying to this position you will have an opportunity to share your preferred working location from the following: **San Bruno, CA, USA; Chicago, IL, USA; New York, NY, USA; Los Angeles, CA, USA** . **Minimum qualifications:** + Master's degree in a quantitative discipline such as Statistics, Engineering, Computer Sciences or equivalent practical experience. + 9 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or performing statistical analysis. + 5 years of experience as a people manager within a technical leadership role. + Experience in causal inference, A/B testing, statistical modeling, or machine learning. + Experience in SQL and Python programming, leveraging ML or statistical libraries (e.g., TensorFlow, Scikit-learn, XGBoost, Keras, Pandas). **Preferred qualifications:** + Experience with causal inference or bayesian statistics. **About the job** YouTube Marketing Data Science, Infrastructure and Analytics (DSIA) is an analyst team that influences and informs YouTube's marketing and products teams. We work on projects that are at the heart of the go-to-market and brand strategy for YouTube using data to ensure our marketing efforts are efficiently and effectively deployed. This role will lead to a team that drives full stack measurement and insights for YouTube shopping and creator marketing. In this role, you will work closely with YouTube's marketing and product to grow our creator community with life-cycle communications that drive valuable creator actions (e.g., joining our shopping business generation programs, enabling channel memberships, adopting new features etc). You will develop an understanding of creator propensity and uplift from marketing such that interventions achieve outsized return on investment and are driving meaningful creator interactions. You will also shape our initial viewer marketing to drive YouTube shopping, working closely with marketing, product, and engineering. You will ensure experimentation plans and signal mapping can grow awareness and adoption of YouTube shopping for our viewers. The US base salary range for this full-time position is $248,000-$349,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more aboutbenefits at Google (************************************* . **Responsibilities** + Lead a team of business data scientists and analysts in delivering project work including implementing data science solutions, improving data pipelines, developing evaluation metrics, or building statistical models that provide insights to the business. + Embed with marketing leadership on YouTube shopping and YouTube creators to understand their high level goals and translate those into data science and investigative priorities. + Design experiments and use causal inference to measure effectiveness of models, tools, and programs. + Drive internal visibility and opportunities for the team, define team strategy in partnership with leadership and stakeholders, and remove technical and organizational blockers. + Build a team with a collaborative and growing growth culture. Develop team to reach their career goals through coaching and development opportunities. Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) . Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy (******************************************************* ,Know your rights: workplace discrimination is illegal (**************************************************************************** ,Belonging at Google (******************************** , and How we hire (**************************************** . If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form (*************************************** . Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also ******************************* and ************************************************************* If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: ***************************************

Apply share * link Copy link * email Email a friend info_outline X This role may also be located in our Playa Vista, CA campus. Applicants in the County of Los Angeles: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Note: By applying to this position you will have an opportunity to share your preferred working location from the following: San Bruno, CA, USA; Chicago, IL, USA; New York, NY, USA; Los Angeles, CA, USA. Minimum qualifications: * Master's degree in a quantitative discipline such as Statistics, Engineering, Computer Sciences or equivalent practical experience. * 9 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or performing statistical analysis. * 5 years of experience as a people manager within a technical leadership role. * Experience in causal inference, A/B testing, statistical modeling, or machine learning. * Experience in SQL and Python programming, leveraging ML or statistical libraries (e.g., TensorFlow, Scikit-learn, XGBoost, Keras, Pandas). Preferred qualifications: * Experience with causal inference or bayesian statistics. About the job YouTube Marketing Data Science, Infrastructure and Analytics (DSIA) is an analyst team that influences and informs YouTube's marketing and products teams. We work on projects that are at the heart of the go-to-market and brand strategy for YouTube using data to ensure our marketing efforts are efficiently and effectively deployed. This role will lead to a team that drives full stack measurement and insights for YouTube shopping and creator marketing. In this role, you will work closely with YouTube's marketing and product to grow our creator community with life-cycle communications that drive valuable creator actions (e.g., joining our shopping business generation programs, enabling channel memberships, adopting new features etc). You will develop an understanding of creator propensity and uplift from marketing such that interventions achieve outsized return on investment and are driving meaningful creator interactions. You will also shape our initial viewer marketing to drive YouTube shopping, working closely with marketing, product, and engineering. You will ensure experimentation plans and signal mapping can grow awareness and adoption of YouTube shopping for our viewers. The US base salary range for this full-time position is $248,000-$349,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google. Responsibilities * Lead a team of business data scientists and analysts in delivering project work including implementing data science solutions, improving data pipelines, developing evaluation metrics, or building statistical models that provide insights to the business. * Embed with marketing leadership on YouTube shopping and YouTube creators to understand their high level goals and translate those into data science and investigative priorities. * Design experiments and use causal inference to measure effectiveness of models, tools, and programs. * Drive internal visibility and opportunities for the team, define team strategy in partnership with leadership and stakeholders, and remove technical and organizational blockers. * Build a team with a collaborative and growing growth culture. Develop team to reach their career goals through coaching and development opportunities.

_corporate_fare_ YouTube _place_ San Bruno, CA, USA; Chicago, IL, USA; +3 more; +2 more **Advanced** Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain. _info_outline_ X This role may also be located in our Playa Vista, CA campus. Applicants in the County of Los Angeles: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Note: By applying to this position you will have an opportunity to share your preferred working location from the following: **San Bruno, CA, USA; Chicago, IL, USA; New York, NY, USA; Los Angeles, CA, USA** . **Minimum qualifications:** + Master's degree in a quantitative discipline such as Statistics, Engineering, Computer Sciences or equivalent practical experience. + 9 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or performing statistical analysis. + 5 years of experience as a people manager within a technical leadership role. + Experience in causal inference, A/B testing, statistical modeling, or machine learning. + Experience in SQL and Python programming, leveraging ML or statistical libraries (e.g., TensorFlow, Scikit-learn, XGBoost, Keras, Pandas). **Preferred qualifications:** + Experience with causal inference or bayesian statistics. **About the job** YouTube Marketing Data Science, Infrastructure and Analytics (DSIA) is an analyst team that influences and informs YouTube's marketing and products teams. We work on projects that are at the heart of the go-to-market and brand strategy for YouTube using data to ensure our marketing efforts are efficiently and effectively deployed. This role will lead to a team that drives full stack measurement and insights for YouTube shopping and creator marketing. In this role, you will work closely with YouTube's marketing and product to grow our creator community with life-cycle communications that drive valuable creator actions (e.g., joining our shopping business generation programs, enabling channel memberships, adopting new features etc). You will develop an understanding of creator propensity and uplift from marketing such that interventions achieve outsized return on investment and are driving meaningful creator interactions. You will also shape our initial viewer marketing to drive YouTube shopping, working closely with marketing, product, and engineering. You will ensure experimentation plans and signal mapping can grow awareness and adoption of YouTube shopping for our viewers. The US base salary range for this full-time position is $248,000-$349,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more aboutbenefits at Google (************************************* . **Responsibilities** + Lead a team of business data scientists and analysts in delivering project work including implementing data science solutions, improving data pipelines, developing evaluation metrics, or building statistical models that provide insights to the business. + Embed with marketing leadership on YouTube shopping and YouTube creators to understand their high level goals and translate those into data science and investigative priorities. + Design experiments and use causal inference to measure effectiveness of models, tools, and programs. + Drive internal visibility and opportunities for the team, define team strategy in partnership with leadership and stakeholders, and remove technical and organizational blockers. + Build a team with a collaborative and growing growth culture. Develop team to reach their career goals through coaching and development opportunities. Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) . Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy (******************************************************* ,Know your rights: workplace discrimination is illegal (**************************************************************************** ,Belonging at Google (******************************** , and How we hire (**************************************** . If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form (*************************************** . Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also ******************************* and ************************************************************* If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: ***************************************

Apply share * link Copy link * email Email a friend info_outline X This role may also be located in our Playa Vista, CA campus. Applicants in the County of Los Angeles: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Note: By applying to this position you will have an opportunity to share your preferred working location from the following: San Bruno, CA, USA; Chicago, IL, USA; New York, NY, USA; Los Angeles, CA, USA. Minimum qualifications: * Master's degree in a quantitative discipline such as Statistics, Engineering, Computer Sciences or equivalent practical experience. * 9 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or performing statistical analysis. * 5 years of experience as a people manager within a technical leadership role. * Experience in causal inference, A/B testing, statistical modeling, or machine learning. * Experience in SQL and Python programming, leveraging ML or statistical libraries (e.g., TensorFlow, Scikit-learn, XGBoost, Keras, Pandas). Preferred qualifications: * Experience with causal inference or bayesian statistics. About the job YouTube Marketing Data Science, Infrastructure and Analytics (DSIA) is an analyst team that influences and informs YouTube's marketing and products teams. We work on projects that are at the heart of the go-to-market and brand strategy for YouTube using data to ensure our marketing efforts are efficiently and effectively deployed. This role will lead to a team that drives full stack measurement and insights for YouTube shopping and creator marketing. In this role, you will work closely with YouTube's marketing and product to grow our creator community with life-cycle communications that drive valuable creator actions (e.g., joining our shopping business generation programs, enabling channel memberships, adopting new features etc). You will develop an understanding of creator propensity and uplift from marketing such that interventions achieve outsized return on investment and are driving meaningful creator interactions. You will also shape our initial viewer marketing to drive YouTube shopping, working closely with marketing, product, and engineering. You will ensure experimentation plans and signal mapping can grow awareness and adoption of YouTube shopping for our viewers. The US base salary range for this full-time position is $248,000-$349,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google. Responsibilities * Lead a team of business data scientists and analysts in delivering project work including implementing data science solutions, improving data pipelines, developing evaluation metrics, or building statistical models that provide insights to the business. * Embed with marketing leadership on YouTube shopping and YouTube creators to understand their high level goals and translate those into data science and investigative priorities. * Design experiments and use causal inference to measure effectiveness of models, tools, and programs. * Drive internal visibility and opportunities for the team, define team strategy in partnership with leadership and stakeholders, and remove technical and organizational blockers. * Build a team with a collaborative and growing growth culture. Develop team to reach their career goals through coaching and development opportunities.

At eBay, we're more than a global ecommerce leader - we're changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We're committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts. Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work - every day. We're in this together, sustaining the future of our customers, our company, and our planet. Join a team of passionate thinkers, innovators, and dreamers - and help us connect people and build communities to create economic opportunity for all. About eBay Live eBay Live is a new way to sell on eBay, where sellers and buyers interact live on video. eBay sellers build buyer trust, expand their customer base, and grow repeat business through consistent and engaging live streams on eBay Live. eBay buyers can view, chat, ask questions, give feedback, vote, and buy online during eBay Live selling. About the role eBay Live is redefining how sellers engage customers through real-time commerce. We're hiring a Senior Manager, Scaled Seller Enablement to build and operationalize solutions to reduce friction for our Live Sellers at scale. As an Individual Contributor on the Product & Operations team, you will operate as an internal consultant hyper-focused on building operational processes and informing product roadmaps that will help our unmanaged sellers succeed. You will build for scale, maintain a global perspective, and develop clean and repeatable tooling (SOPs, dashboards, change management plans, etc) to ensure process adoption before moving to the next highest-impact problem. As a Senior Manager, you will also drive discovery for ambiguous problems, design program KPIs and guardrails, and make cross-initiative tradeoffs to further the business unit's overall strategy. What you will accomplish: Develop Seller Strategy Use internal and external data to identify opportunities and challenges across the eBay Live seller journey, with a focus on scaling support for unmanaged sellers. Drive discovery for complex problems and deliver clear proposals, prioritization frameworks, and project roadmaps to executive audiences. Backlog Triage & Portfolio Management Analyze internal and external seller friction points across application, onboarding, activation, and ongoing selling. Size the impact of identified issues and recommend focus areas for resolution in partnership with Ops, Product, and PMM teams. Build & Operationalize Solutions Design scalable, ops-led solutions across seller onboarding, lifecycle communications, enablement, and support content. Partner with Product and PMM to gather requirements, support feature launches, and ensure seller readiness through education and communications. Stand up programs, SOPs, and best practices across regions, accounting for localization needs and driving adoption through change management. Influence, Measure, and Learn Align and influence cross-functional stakeholders including Category, Customer Success, Product, Legal, PMM, and Finance. Define KPIs, track success, measure ROI, and feed insights back into the Seller Success roadmap. Keep the eBay Live seller at the center of the work, identifying opportunities to increase seller effectiveness and GMV. What you will bring: 7-9+ years in Strategy & Operations, program delivery, or consulting-style roles with building, scaling, and managing complex cross-functional programs Self-starter with a proven track record of developing strategy, managing dependencies, influencing executive-level leaders and driving ownership across cross-functional teams Strategic thinking capabilities, including the ability to share insights to inform business planning initiatives, develop cross-functional frameworks for success, and build cases for investment Strong analytical skills, a proven track record of translating insights into actionable strategic plans, and demonstrable experience of innovative problem-solving at scale Excellent organizational, communication, and interpersonal skills, including the ability to succinctly communicate complex problems to executive audiences, quantify issues and impact, and develop well thought-through resource asks and potential solutions A dynamic, proactive approach, an ability to create clarity out of ambiguity, and the desire to work in a fast-paced, evolving environment Nice to Haves: MBA or similar relevant experience, marketplace or live/creator commerce experience, and/or customer enablement experience within e-commerce The base pay range for this position is expected in the range below: $103,600 - $177,800 Base pay offered may vary depending on multiple individualized factors, including location, skills, and experience. The total compensation package for this position may also include other elements, including a target bonus and restricted stock units (as applicable) in addition to a full range of medical, financial, and/or other benefits (including 401(k) eligibility and various paid time off benefits, such as PTO and parental leave). Details of participation in these benefit plans will be provided if an employee receives an offer of employment. If hired, employees will be in an “at-will position” and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors. Please see the Talent Privacy Notice for information regarding how eBay handles your personal data collected when you use the eBay Careers website or apply for a job with eBay. eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at ***************. We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. The eBay Jobs website uses cookies to enhance your experience. By continuing to browse the site, you agree to our use of cookies. Visit our Privacy Center for more information.