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Being the cybersecurity partner of choice, protecting our digital way of life.
Your Career
You will be constantly challenged by tough engineering and design tasks, working in a fast-paced setting to deliver high-quality, impactful work.
Your Impact
In this versatile role, you will drive impact across both data engineering and data science domains:
Data Engineering Foundations
Design & Development: Design and implement scalable data architectures and datasets that support the organization's evolving data needs, providing the technical foundations for our analytics team and business users.
Data Engineering: Support and implement large datasets in batch/real-time analytical solutions leveraging data transformation technologies.
Data Security & Scalability: Enable robust data-level security features and build scalable solutions to support dynamic cloud environments, including financial considerations.
Process Improvement: Perform code reviews with peers and make recommendations on how to improve our end-to-end development processes.
AI/ML Innovation & Business Impact
Develop & Deploy Classical ML Models: Own the end-to-end lifecycle of machine learning projects. You'll build and productionize sophisticated models for critical business areas such as marketing attribution, customer churn prediction, case escalation and other relevant use-cases to post-sales.
Optimize AI Agentic Systems: Play a key role in our generative AI initiatives. You will be responsible for characterizing, evaluating, and fine-tuning AI agents—such as conversational systems that allow users to query massive datasets using natural language—to improve their accuracy, efficiency, and reliability.
Partner with Business Stakeholders: Act as an internal consultant to our Go-to-Market (GTM), Global Customer Services (GCS) and Product and Finance teams. You'll translate business challenges into data science use-cases, identify opportunities for AI-driven solutions, and present your findings in a clear, actionable manner.
Own the Full Data Science Lifecycle: Your responsibilities will cover the entire project workflow, working with the business to understand the problem, charting a path to solve the problem, feature engineering, model selection and training, robust evaluation, deployment, and, in partnership with the data platform team, ongoing monitoring for performance degradation.
Your Experience
7 plus years experience building and maintain data pipeline both for reporting, analysis and feature engineering.
Experience building and optimizing clean, well-structured analytical datasets for business and data science use cases. This includes Implementing and supporting Big Data solutions for both batch (scheduled) and real-time (streaming) analytics.
Prior experience working extensively within dynamic cloud environments, specifically Google Cloud Services (GCS) BigQuery and Vertex AI.
Prior experience developing dashboards in Tableau/Looker or similar data viz platform.
Nice to have: Experience implementing and managing data-level security features to ensure data is protected and access is properly controlled.
Expert-level programming skills in Python and familiarity with core data science and machine learning libraries (e.g., Scikit-learn, Pandas, PyTorch/TensorFlow, XGBoost).
A solid command of SQL for complex querying and data manipulation.
Proven ability to work autonomously, navigate ambiguity, and drive projects from concept to completion.
Preferred Qualifications
Prior working experience in Customer Analytics space and customer experience use-cases, e.g. Escalation, Risk predictors, Renewals and efficiency of project delivery in Professional Services space.
Direct experience with generative AI, including hands-on work with LLMs and frameworks like LangChain, LlamaIndex, or the Hugging Face ecosystem.
Experience in evaluating and optimizing the performance of AI systems or agents.
Demonstrated expertise in specialized modeling domains such as causal inference, time-series analysis.
An MS or PhD in a quantitative field like Computer Science, AI, Statistics, or equivalent practical experience or equivalent military experience.
Compensation Disclosure
The compensation offered for this position will depend on qualifications, experience, and work location. For candidates who receive an offer at the posted level, the starting base salary (for non-sales roles) or base salary + commission target (for sales/commissioned roles) is expected to be between $143000- $231000/YR. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found .
All your information will be kept confidential according to EEO guidelines.
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A Typical Day:
Your Expertise:
:To support productivity and maintain a professional hybrid work environment, employees are expected to adhere to the following:
How We'll Take Care of You:
Offices: Gurugram, India
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The Difference You Will Make:
As a Senior Market Manager, Airbnb for Business, you will be responsible for identifying and closing corporate clients within defined target verticals, while cultivating strategic relationships with those that offer the greatest potential for growth. You will own the end-to-end sales strategy needed to achieve your targets and drive long-term value.
Success in this role requires the ability to partner closely with clients, leveraging data-driven insights to optimize performance, streamline processes, and expand overall spend on the platform. You will report directly to the Global Lead, Airbnb for Business, and collaborate closely with your peers to maintain a consistent, data-informed feedback loop across key cross-functional stakeholders including Product, Operations, Program Management, and Data Science.
A Typical Day:
Your Expertise:
How We'll Take Care of You:
Offices: Canada
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A Typical Day:
Your Expertise:
Offices: Seoul, South Korea
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A Typical Day:
Your Expertise:
How We'll Take Care of You:
Offices: California, United States, Oregon, United States, Washington, United States
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What you will accomplish:
You oversee the product value proposition narrative and the market entry approach for eBay Live. Your role includes crafting messaging that promotes a positive shopping experience for buyers and success for sellers.
You will take a comprehensive approach to go-to-market, ensuring customers get relevant and meaningful communications at the right time and place. These will include in-product, marketing, PR, market communities, sales, client support, and partner messaging.
Influence product roadmaps by synthesizing market, customer and competitive insights, build audience segmentations and opportunity sizing.
Develop customer feedback loops during the product and marketing development process to refine the product narrative and value proposition articulation.
Develop product value propositions, narratives, customer messaging, naming and external facing proof points.
Manage the go-to-market strategy and planning for product launches and then lead through channel experts to ensure execution and impact measurement. Track customer engagement, product adoption, and business success. Partner with channel experts across in-product content, marketing, PR communications, customer service, in-market teams, and sales channels to generate demand.
Identify internal product market fit tracking metrics; synthesize customer feedback to provide signal amidst the noise across the product life cycle: development, launch, and optimization / expansion. Build up the value proposition employing the voice of the customer to optimize product marketing messaging and to advise on product recommendations.
Define important measures for success, and track progress against goals for the product launches and in-market growth adoption of existing products or services.
What you will bring:
6+ years of experience in product marketing with at least 3 years leading company wide initiatives
Strong track record of developing product and go-to-market strategies at ecommerce companies, with a consumer attitude.
Preferred experience in live shopping
Proven ability to drive innovation, implement projects with excellence
Success working collaboratively with cross-functional teams and excellent communication skills
Strong data analysis skills and experience with customer research techniques
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This role requires a unique product leader who can successfully navigate an ambiguous, fast-paced environment. You will be responsible for defining and delivering high-impact features across the entire live commerce journey, including the foundational technology platform, the global buyer experience, and the tools sellers use to broadcast, engage, and monetize their live streams. If you thrive on significant ownership, high visibility, and the chance to build the future of e-commerce, this is the role for you.
What you will accomplish:
Serve as a visionary leader for your product space within live commerce, developing a strategy and roadmap that aligns with eBay's top-level goals. This requires blending deep customer empathy with an understanding of market trends, business goals, and competitive insights.
Drive the full product lifecycle for multiple features or a major product initiative, from initial discovery and opportunity sizing to launch, iteration, and post-launch analysis.
Own and deliver a challenging product roadmap on time, demonstrating a strong bias for action and high-quality outcomes. You will write clear, detailed requirements (PRDs) that prioritize hypotheses for testing and iteration.
Lead and inspire confidence among a wide range of partners, including engineering, design, data science, research, and marketing. You will foster collaboration, build alignment, and drive shared goals across all stakeholders.
Define key success metrics, leverage data and analytics to quantify customer problems, size opportunities, and ultimately measure the impact of your work on organizational goals.
Cultivate a knowledge of the technical architecture and backend systems for your product area to effectively partner with engineering, unblock development, and influence technical decisions.
What you will bring:
8+ years of product management or related strategy experience, with e-commerce, video, or social commerce experience highly preferred.
Bachelor’s degree required; MBA or relevant advanced degree preferred.
Ambiguity Management: Exceptional ability to thrive in an ambiguous, 0-1 environment, distilling complex, unclear problems into a clear product vision and actionable roadmap.
Prioritization and Tradeoffs: Demonstrated ability to evaluate options, assess trade-offs (short-term vs. long-term), and recommend a path forward, even with incomplete data.
Influence & Communication: Masters written and verbal communication, adapting your message to influence both execution teams and executive leadership. Ability to lead and inspire without direct authority.
Analytical Rigor: Proven ability to use quantitative and qualitative insights to build strong business cases, define necessary data, and measure product performance.
These jobs might be a good fit

Being the cybersecurity partner of choice, protecting our digital way of life.
Your Career
You will be constantly challenged by tough engineering and design tasks, working in a fast-paced setting to deliver high-quality, impactful work.
Your Impact
In this versatile role, you will drive impact across both data engineering and data science domains:
Data Engineering Foundations
Design & Development: Design and implement scalable data architectures and datasets that support the organization's evolving data needs, providing the technical foundations for our analytics team and business users.
Data Engineering: Support and implement large datasets in batch/real-time analytical solutions leveraging data transformation technologies.
Data Security & Scalability: Enable robust data-level security features and build scalable solutions to support dynamic cloud environments, including financial considerations.
Process Improvement: Perform code reviews with peers and make recommendations on how to improve our end-to-end development processes.
AI/ML Innovation & Business Impact
Develop & Deploy Classical ML Models: Own the end-to-end lifecycle of machine learning projects. You'll build and productionize sophisticated models for critical business areas such as marketing attribution, customer churn prediction, case escalation and other relevant use-cases to post-sales.
Optimize AI Agentic Systems: Play a key role in our generative AI initiatives. You will be responsible for characterizing, evaluating, and fine-tuning AI agents—such as conversational systems that allow users to query massive datasets using natural language—to improve their accuracy, efficiency, and reliability.
Partner with Business Stakeholders: Act as an internal consultant to our Go-to-Market (GTM), Global Customer Services (GCS) and Product and Finance teams. You'll translate business challenges into data science use-cases, identify opportunities for AI-driven solutions, and present your findings in a clear, actionable manner.
Own the Full Data Science Lifecycle: Your responsibilities will cover the entire project workflow, working with the business to understand the problem, charting a path to solve the problem, feature engineering, model selection and training, robust evaluation, deployment, and, in partnership with the data platform team, ongoing monitoring for performance degradation.
Your Experience
7 plus years experience building and maintain data pipeline both for reporting, analysis and feature engineering.
Experience building and optimizing clean, well-structured analytical datasets for business and data science use cases. This includes Implementing and supporting Big Data solutions for both batch (scheduled) and real-time (streaming) analytics.
Prior experience working extensively within dynamic cloud environments, specifically Google Cloud Services (GCS) BigQuery and Vertex AI.
Prior experience developing dashboards in Tableau/Looker or similar data viz platform.
Nice to have: Experience implementing and managing data-level security features to ensure data is protected and access is properly controlled.
Expert-level programming skills in Python and familiarity with core data science and machine learning libraries (e.g., Scikit-learn, Pandas, PyTorch/TensorFlow, XGBoost).
A solid command of SQL for complex querying and data manipulation.
Proven ability to work autonomously, navigate ambiguity, and drive projects from concept to completion.
Preferred Qualifications
Prior working experience in Customer Analytics space and customer experience use-cases, e.g. Escalation, Risk predictors, Renewals and efficiency of project delivery in Professional Services space.
Direct experience with generative AI, including hands-on work with LLMs and frameworks like LangChain, LlamaIndex, or the Hugging Face ecosystem.
Experience in evaluating and optimizing the performance of AI systems or agents.
Demonstrated expertise in specialized modeling domains such as causal inference, time-series analysis.
An MS or PhD in a quantitative field like Computer Science, AI, Statistics, or equivalent practical experience or equivalent military experience.
Compensation Disclosure
The compensation offered for this position will depend on qualifications, experience, and work location. For candidates who receive an offer at the posted level, the starting base salary (for non-sales roles) or base salary + commission target (for sales/commissioned roles) is expected to be between $143000- $231000/YR. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found .
All your information will be kept confidential according to EEO guidelines.
These jobs might be a good fit