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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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You are bilingual (English & French) and have experience selling software or software as a service in the Montreal Metro area and Province of Quebec.
You will report to the Regional Sales Director.
Your Role Responsibilities? Here's What You'll DoThese jobs might be a good fit

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Position Overview:
As part of our growing organization, this is a unique opportunity to shape C&B practices and scale them across functions/regions. You will have visibility into senior leadership decisions and influence how we attract, retain, and reward talent.
Key Responsibilities
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The role will be based in Singapore.Some travel may be required.
You will report to the
Your Role Responsibilities? Here's What You'll Do
What We'd Like to See
Role Essentials
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These jobs might be a good fit

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You are bilingual (English & French) and have experience selling software or software as a service in the Montreal Metro area and Province of Quebec.
You will report to the Regional Sales Director.
Your Role Responsibilities? Here's What You'll DoThese jobs might be a good fit

Share
Passion, excitement & global collaboration are all core to what it means to be a FlyMate. At Flywire, we’re on a mission to deliver the world’s most important and complex payments. We use our Flywire Advantage - the combination of our next-gen payments platform, proprietary payment network and vertical specific software, to help our clients get paid, and help their customers pay with ease - no matter where they are in the world.
What more do we need to truly be unstoppable? Perhaps, that is you!
Who we are:
Today we support more than 4,800 clients across the global education, healthcare, travel & B2B industries, with diverse payment methods across 240 countries & territories and more than 140 currencies.
With over 1,200 global FlyMates, representing more than 40 nationalities, and in 12 offices world-wide, we’re looking for FlyMates to join the next stage of our journey as we continue to grow.
The Opportunity:
We are seeking a highly motivated and experienced
Senior Sales Engineer, Education to join our Education Team, supporting the Eastern Time Zone, with a focus in Ontario and the northeastern United States.
This role is a critical part of our sales process, bridging the gap between our cutting-edge technology and the specific needs of higher education institutions. The ideal candidate will possess a deep understanding of university architecture, a strong technical background, and excellent communication skills to effectively articulate the value of our software to technical and non-technical audiences. Success in this role depends as much on building trust and long-term relationships as on technical expertise.
Key Responsibilities:
What we are looking for:
What We Offer:
Submit today and get started!
We are excited to get to know you! Throughout our process you can expect to meet with different FlyMates including the Hiring Manager, Peers on the team, the VP of the department, and a skills assessment. Your Talent Acquisition Partner will walk you through the steps and be your “go-to” person for any questions.
Flywire is an equal opportunity employer. With over 30 nationalities across 12 different offices, and diversity and inclusion at the core of our people agenda, we believe our FlyMates are our greatest asset, and we’re excited to watch our unique culture evolve with each new hire.
Flywire is an equal opportunity employer.
#LI-remote
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