דרושים Technical Sales ב-Canada

Essential Responsibilities:

• Drive demand generation and qualification through cold calling, email outreach, and inbound lead response.
• Negotiate and close contracts, addressing legal, financial, and technical concerns effectively.
• Conduct thorough discovery to analyze customer needs and present pre-packaged solutions and use-cases.
• Maintain a rigorous pipeline with accurate forecasting and regular reporting on pipeline status and revenue forecasts.
• Collaborate across departments to ensure alignment and leverage customer insights to optimize offerings.

Expected Qualifications:

• 1+ years relevant experience and a Bachelor’s degree OR Any equivalent combination of education and experience.

This is a virtual friendly position.

The total compensation for this position may include an annual performance bonus (or other incentive compensation as applicable), equity, and medical, dental, vision and other benefits. For more information visit

The U.S. national annual pay range for this role is 99,000 to 110,000 CAD annually.

Our Benefits:

Any general requests for consideration of your skills, please

Essential Responsibilities:

• Monitor proactive technical health for Enterprise merchants
• Identify and suggest solutions to improve customer experience
• Consult with merchants and internal teams on integration best practices
• Initiate strong relationships to help merchants succeed
• Diagnose and identify issues with APIs, code, services, and network latency
• Advocate on merchants' behalf to improve products, systems, and processes
• Be the main point of contact for technical issues affecting our Enterprise merchants

Expected Qualifications:

• 3+ years relevant experience and a Bachelor’s degree OR Any equivalent combination of education and experience.

Preferred Qualifications:

• facing,technical work experience.

• Technically minded, with a proventrack recordof adopting and masteringnew technologiesand tools.

• Confident communicator – equally comfortable speaking to a merchant CEO (Chief Executive Officer), CTO (Chief Technology Officer), or development team.

• Demonstrated knowledge of web technologies and can learn new languages and services like JavaScript, PHP, Java, HTTP, HTML, JSON, etc.

• Troubleshooting experience with API calls (SOAP, REST,GraphQL)

• Understanding of basic SQL Commands and data analysis

• Prepared to be on call toassistwith out-of-businesshours

Our Benefits:

PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at

Any general requests for consideration of your skills, please

While the initial focus will be on M&A-related programs, the scope will expand over time to encompass other complex, cross-domain product delivery initiatives within Seller Experience.

• Lead the end-to-end delivery of product and platform programs emerging from acquisitions — ensuring that new capabilities, tools, or marketplaces are successfully coordinated throughout Seller Experience processes.

• Collaborate with Product, Engineering, and Corporate Development to convert acquisition strategy into practical product roadmaps, ensuring alignment with eBay’s seller and buyer experiences.

• Orchestrate cross-functional execution across engineering, build, data, and operations teams to deliver high-quality outcomes on time and within scope.

• Collaborate with architecture and platform teams to build integration strategies, data flows, and service dependencies that enable scalable onboarding of new product capabilities.

• Drive program governance, risk assessment, and achievement management, ensuring transparency across leadership and collaborators.

• Define and refine repeatable delivery frameworks for future M&A-focused product integrations, improving speed-to-market and execution consistency.

• Act as a trusted liaison between Seller Experience and global partner teams (including Payments, Trust, and Customer Service) to ensure cohesive platform behavior post-integration.

• Mentor TPMs and technical leads, encouraging a culture of clarity, accountability, and delivery excellence.

• 10+ years of experience in technical program management, including at least 5 years leading large-scale, cross-functional product or platform delivery.

• Proven experience driving integration or delivery programs related to M&A, partnerships, or product migrations within a global technology organization.

• Strong technical proficiency across software architecture, API platforms, data systems, and service integration — able to engage deeply with engineering teams.

• Excellent ability to navigate ambiguity, drive alignment across diverse teams, and communicate clearly with both technical and business collaborators.

• Proven success in bridging product strategy with technical execution, translating business goals into measurable deliverables.

• Expertise in agile and lean delivery methodologies, with experience optimizing cross-team workflows for velocity and quality.

• Bachelor’s degree or equivalent experience in Computer Science, Engineering, or a related area. PMP, PgMP, or SAFe certification a plus.

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.