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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:
The Senior Specialist, Premium Support functions on the front line interacting directly with both customers & internal stakeholders. As a Senior Specialist, Premium Support, you will be primarily responsible for providing end-to-end support to key members of our community experiencing an issue with their reservation, including but not limited to the Luxury segment. You will take ownership of cases, ensuring complete resolution while fostering strong relationships with our users along the way.
A Senior Specialist, Premium Support needs strong communication skills, problem-solving abilities, and customer service expertise. They will be expected to work in strong autonomy, being able to assess a case & constantly looking for the right solution for both Host, Users and internal stakeholders. As part of this role, you are required to be flexible and may be required to move to different teams within Community Support and/or take up different responsibilities from those set out below. The ideal candidate will be open to a role which will evolve based on business needs and will be flexible to meet those needs.
A Typical Day:
The responsibilities listed below are not exhaustive. Given the fast-moving nature of this work, the responsibilities set out below may change and additional duties may be assigned as needed.
Complex case management: Provide the highest level of service to our community in each and every case, including handling the service’s most severe and urgent cases
Combining efficiency with bespoke quality: Set the gold standard for performance for the service, providing consistently personalized and exceptional customer support to guests and Hosts, ensuring their unique needs and preferences are met with the highest level of care and attention
Participating in your team’s improvement: Leverage your functional operational knowledge to proactively lead the team to succeed
Stakeholder engagement: You build and maintain strategic partnerships to achieve team or functional goals
Your Expertise:
How We'll Take Care of You:
Offices: Canada
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The Difference You Will Make:
As part of this role, you are required to be flexible and may be required to move to different teams within Community Support and/or take up different responsibilities from those set out below. The ideal candidate will be open to a role which will evolve based on business needs and will be flexible to meet those needs.
A Typical Day:
The responsibilities listed below are not exhaustive. Given the fast-moving nature of this work, the responsibilities set out below may change and additional duties may be assigned as needed.
Complex case management: Has “perfected the core” of your role of providing the highest level of service to our community
Combining efficiency with quality:
Participating in the Safety Service improvement: Leverage your functional operational knowledge to support the team succeed
Stakeholder engagement: Beginning to explore network with other Delivery teams and key functional partners
How We'll Take Care of You:
Offices: Canada
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Job Description
As point person for all Treasury functions and service levels across both the Dealer and the Bank, you will manage a team that supports FX, associated collateral, payments and time deposits. Manage training and coverage, plus day to day operations inlcuding controls, risk mitigation and process improvements. Managing this team and reporting to the Department manager with expectations to grow across the platform as Organization changes are made.
Responsibilities
Providing transaction support for Treasury to reduce risk and timing delays on Cash payments & FX
Providing settlement support of BA's, Time Deposits and Collateral trades
Timely Bank breaks & investigations
Performing functions such as: Bank reconciliations, Setup and authorisation of banks for various business lines, Trade check out, adjustments and settlement resolution
Analyzing trade processing opportunities for improved STP
Proactively managing breaks, trading and departmental inquiries, as well as improving overall relationships
Perform processing of Events, reconciliations, notifications and cash flows
Qualifications
Minimum 5 years of relevant experience, 10 + years preferred
Bachelor degree or substantially equivalent experience
Brokerage and industry experience across multiple functions with progression.
Supervisory experience required
Canadian Securities Course or other applicable courses
Proven organizational and time management skills
Ability to work in a fast paced, deadline-oriented environment
Strong interpersonal skills to manage your relationships within custodian, and internal & external clients
Excellent communication skills, verbal and written
Demonstrated success individually and through a team.
Ability to work collaboratively on projects and well as independently
Ability to work flexible hours
These jobs might be a good fit

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The Difference You Will Make:
The Specialist, Premium Support functions on the front line interacting directly with both customers & internal stakeholders. As a CS Specialist, Premium Support, you will be responsible for providing end-to-end support to key members of our community, including but not limited to the Luxury segment. You will primarily take ownership of cases, ensuring complete resolution while fostering strong relationships with our users along the way. CS Specialist, Premium Support needs strong communication skills in English and Italian, problem-solving abilities, and customer service expertise. They should also be adaptable and responsive in our fast paced environment, sometimes under pressure, while remaining flexible, proactive, resourceful, efficient and demonstrating a high level of professionalism and confidentiality. As part of this role, you are required to be flexible and may be required to move to different teams within Community Support and/or take up different responsibilities from those set out below. The ideal candidate will be open to a role which will evolve based on business needs and will be flexible to meet those needs.
A Typical Day:
The responsibilities listed below are not exhaustive. Given the fast-moving nature of this work, the responsibilities set out below may change and additional duties may be assigned as needed.
Complex case management: Provide the highest level of service to our community in each and every case
Combining efficiency with bespoke quality: Provide personalized and exceptional customer support to guests and Hosts, ensuring their unique needs and preferences are met with the highest level of care and attention
Participating in your team’s improvement: Leverage your functional operational knowledge to proactively support the team success
Stakeholder engagement: You have gained the trust of internal & external stakeholders through effective relationship management and delivering results
Your Expertise:
How We'll Take Care of You:
Our job titles may span more than one career level. The actual hourly rate is dependent upon many factors, such as: education, experience, and skills. The hourly rate is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.
Offices: Nevada, United States
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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
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