Product Support Operations Associate in Canada

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world's largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team The Strategic Partnerships team develops and manages relationships with large partners that enable Stripe's product strategy and deliver new capabilities to Stripe users. Our team executes on high-impact, cross-functional initiatives across new products, geographic expansion, user advocacy, and policy. These partnerships have a significant impact on Stripe and the products used by millions of our users. We're looking for a senior member to join our team to develop new partnerships with our largest users and strategic partners, and drive critical initiatives that will be foundational for Stripe. A successful candidate will have significant experience delivering complex deal work, creating and driving strategy, working with cross-functional teams to launch new initiatives, and initiating first-of-a-kind partnerships. We're looking for someone who exhibits a strong sense of ownership, performs at a senior level, drives to have an impact, and has an entrepreneurial spirit. What you’ll do Responsibilities Evaluate and develop the business case to support Stripe’s product and engineering investment in new strategic partnerships across verticals (e.g. AI, Platforms, Payment Methods) Manage strategic planning, negotiation and new partnership development Ensure highly structured, methodical deal management rooted in milestones, KPIs, and alignment with partners on opportunities of mutual interest Navigate the largest partners, in partnership wi

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here . We are looking for inquisitive, well-rounded Android engineers to join our platform Engineering teams. Working closely with product managers, designers, and backend engineers, you’ll play an important role in enabling the newest technologies and experiences. You will build robust frameworks & features. You will empower both developers and Pinners alike. You’ll have the opportunity to find creative solutions to thought-provoking problems. Even better, because we covet the kind of courageous thinking that’s required in order for big bets and smart risks to pay off, you’ll be invited to create and drive new initiatives, seeing them from inception through to technical design, implementation, and release. What you’ll do: Support millions of users and enable colleagues by ensuring excellence in core pieces that are shared throughout the app

The Public Sector software engineers (SWEs) create the core product building blocks forward-deployed teams use to develop agentic capabilities that function across multiple domains. SWEs responsibilities include building the systems required to ingest and process federal datasets to support real-time decision-making in contested environments. We develop novel agentic enabling capabilities that includes: Create multi-layered guardrails around agents Optimize data retrieval for agents Orchestrate fleets of asynchronous agents Automatically alerts users to deviations in data Illustrating how an agent reached a decision As a Staff Software Engineer, you will orchestrate the implementation of vertical features and horizontal capabilities to include mentoring other engineers on defining requirements with stakeholders and communication tradeoffs of technical implementations on feature and capabilities until they are accepted by the stakeholders. You will: Orchestrate feature implementation across the Federal engineering team to ensure architectural consistency. Define technical strategy for agentic guardrails, explainability, and fleet orchestration. Ensure system reliability and performance across multiple security classifications and network types. Mentor engineers in the process of defining requirements with stakeholders and gathering acceptance. Communicate high-level technical trade-offs and implementation strategies to senior government stakeholders and Scale C-Suite members. Influence the long-term product strategy and technical roadmap for the Federal business unit. Consult on the architecture of AI-powered solutions for large-scale federal contracts. Ideally you will have: Full Stack Development: Proficiency in front-end, back-end development and infrastructure, including experience with modern web development frameworks, programming languages, and databases Cloud-Native Technologies: Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience in

The Public Sector software engineers (SWEs) create the core product building blocks forward-deployed teams use to develop agentic capabilities that function across multiple domains. SWEs responsibilities include building the systems required to ingest and process federal datasets to support real-time decision-making in contested environments. We develop novel agentic enabling capabilities that includes: Create multi-layered guardrails around agents Optimize data retrieval for agents Orchestrate fleets of asynchronous agents Automatically alerts users to deviations in data Illustrating how an agent reached a decision As a Software Engineer, you will own the development of a vertical feature or a horizontal capability to include defining requirements with stakeholders and implementation until it is accepted by the stakeholders. You will: Design and implement scalable backend systems for Federal customers using cloud-native AI infrastructure. Build features for agentic systems including multi-layered guardrails and data retrieval optimization. Develop data pipelines and machine learning infrastructure to make data sources accessible by agents. Collaborate with cross-functional teams to execute backend solutions for secure environments. Participate in customer engagements to understand requirements and deliver technical solutions. Define requirements with stakeholders and implement features until they are accepted. Contribute to the platform roadmap and product strategy for the Federal business. Ideally you will have: Full Stack Development: Proficiency in front-end, back-end development and infrastructure, including experience with modern web development frameworks, programming languages, and databases Cloud-Native Technologies: Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience in developing and deploying applications in a cloud-native environment. Understanding of containerization (e.g., Docker) and container orchestration (e.g., Kubernetes

The Public Sector software engineers (SWEs) create the core product building blocks forward-deployed teams use to develop agentic capabilities that function across multiple domains. SWEs responsibilities include building the systems required to ingest and process federal datasets to support real-time decision-making in contested environments. We develop novel agentic enabling capabilities that includes: Create multi-layered guardrails around agents Optimize data retrieval for agents Orchestrate fleets of asynchronous agents Automatically alerts users to deviations in data Illustrating how an agent reached a decision As a Senior Software Engineer, you will lead the development of a vertical feature or a horizontal capability to include defining requirements with stakeholders and implementation until it is accepted by the stakeholders. You will: Lead the design and implementation of scalable backend systems and distributed architectures for Federal customers. Manage the full lifecycle of feature development from requirement definition to deployment on classified networks. Direct the orchestration of asynchronous agent fleets to meet mission requirements. Lead customer engagements to translate mission needs into technical requirements. Own the communication with stakeholders to ensure implementation meets defined acceptance criteria. Conduct technical reviews and identify risks within machine learning infrastructure and model serving. Drive the platform roadmap by providing technical specifications for Federal product offerings. Ideally you will have: Full Stack Development: Proficiency in front-end, back-end development and infrastructure, including experience with modern web development frameworks, programming languages, and databases Cloud-Native Technologies: Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience in developing and deploying applications in a cloud-native environment. Understanding of containerization (e.g., Docker) and contai

Platform administration isn't the part of the product anyone screenshots for a demo. Nobody's writing a blog post about your identity provisioning flow. But it's the thing every other team at Diligent quietly depends on more than any other dev team in the company and when it breaks, everyone notices immediately. If that kind of quiet, high-stakes ownership sounds appealing rather than thankless, keep reading. This role is for someone who wants real skin in the game: you build it, you ship it, you support it. We're a high-initiative team that improves things we see first and asks permission later, building secure, event-driven microservices in TypeScript on AWS, and treating infrastructure as code the same way we treat application code: with rigor, not as an afterthought. Here's a breakdown of what you'll do (not all of it, just the important stuff) Design and build secure, scalable full-stack services using AWS serverless tech (Lambda, SQS, API Gateway) — with real attention to event-driven patterns and observability, not just "does it work on my machine." Own your services in production. That means building good observability, keeping an eye on alerts, and responding to them before they become bigger problems. Build infrastructure as code with AWS CDK and push for CI/CD that ships safely and often — not "big bang" releases you have to pray over. Design RESTful APIs other teams will actually want to consume: clear contracts, sane versioning, no surprises. Write tests — unit, integration, end-to-end — as part of how you build, not a chore you do after. Show up to architecture discussions with opinions and documentation, not just vibes. Use AI tools to move faster on coding, debugging, testing, and research — but you're still the one who validates the output. These are the essentials you'll need to get an interview 2-3 years of professional software engineering experience in an agile, full-stack-focused environment. Solid full-stack fundamentals: request lifecycles, d

We’re looking for a Senior Customer Success Manager to support high-value customers in the assigned vertical by providing the tools and resources to achieve their business goals on social media. In this role, you’ll build, cultivate, and maintain influential relationships with your customers by leveraging your customer success experience and demonstrating expert-level competency in Hootsuite’s product, industry trends and best practices. You will drive business outcomes for your customers while being accountable for best-in-class user adoption, revenue retention and growth, and customer advocacy, guiding customers through their journey of social maturity. You will consistently and proactively review, refine and re-validate plans to ensure the customer gains full value from the product suite, the partnership, Hootsuite and social media as a channel. You will report to the Senior Manager, Customer Success. WHAT YOU’LL DO: Lead day to day relationship management for a book of business of high-value customers (Fortune 1000 sized businesses); guide customers to success on their social journey with Hootsuite’s Enterprise and partner products. Build and maintain influential relationships with customers with highly complex use cases in the assigned vertical(s), from end users through to executive sponsors, ensuring they have a consistent, best-in-class experience in every interaction. Cultivate and demonstrate a high level of expertise in Hootsuite's products, social media and your assigned vertical(s) by keeping up with industry trends and best practices. Engage with customers in your assigned vertical(s) in a high-touch, multi-threaded approach, including ensuring successful onboarding, defining Mutual Account Plans with customers, leading success reviews, value workshops, and regular check-ins to drive engagement and ensure Hoosuite is delivering against customer's goals and outcomes according to the success plan. Activel

About the Role: As a Staff Software Engineer on the ML Infrastructure team, you will collaborate closely with the Machine Learning and Product teams to build world-class machine learning inference platforms. These platforms power essential services like personalized recommendations, search, and content understanding across Tubi. A core responsibility of this team is developing and maintaining low-latency ML model serving systems that support Deep Learning, LLM, and Search models. This involves building self-service infrastructure and critical components such as the inference engine, feature store, vector store, and experimentation engine. You will improve the way we deploy and operate our services and even contribute to open-source projects. This role grants the architectural freedom to explore new frameworks, lead critical cross-functional projects, and transform the capabilities of our ML and Product teams. Responsibilities: Design and build scalable, high throughput, and low latency distributed systems using Scala Build reusable components and services that serve various ML applications like Personalization, Search, Ads and Exploration Partner closely with ML engineers to understand their challenges and limitations and develop scalable solutions to address them. Proactively recommend solutions to keep our ML Inference stack state of the art. Take a data driven approach to identifying & optimizing latency, cost, and efficiency of our infra. Lead large scale cross functional refactorings if necessary Mentor other engineers on the team on system design, effective incident management, interviewing, leveraging LLMs for work, etc. Collaborate with ML, Product, and cross functional engineering teams to define the long term vision and architecture for ML Infrastructure at Tubi. Your Background: Experience designing and building scalable, distributed systems in any modern backend language (e.g., Scala, Java, Python, Go, C++); experience with Scala or JVM b

ROLE DESCRIPTION: We’re looking for a Senior Platform Backend Developer who can help us support the development organization to deliver value to customers in a reliable, efficient, and safe manner. You’ll be working in a focused team that owns one or more pieces of the production application environment and the developer experience, you will own and deliver in service of quarterly goals on the team. ABOUT THE TEAM: This role is within our Backend Platform team. The team primarily uses Go, Scala, and PHP and has expertise in technologies such as Kafka, various AWS services, and some infrastructure-as-code tools. Your primary focus will be on developing services and tools for our product development teams as well as modernizing our existing platform. Based out of British Columbia, you will report to the Senior Manager, Software Development, DevOps. WHAT YOU’LL DO: Design and build software - tools, libraries, automation, services, and glue scripts Responsible for the reliability, security, and integrity of our large, cloud-based platform Participate in a flexible on-call rotation Lead by owning project milestones, epics or features Practice continuous improvement, contributing to culture, process, and direction in your team and across our department Develop processes and automation to eliminate repetitive tasks Design and build our infrastructure platform Identify and implement new platform features Research and evaluate new technologies Refactor, rewrite or retire existing platform features Operate our developer experience and production application environments Diagnose and repair our distributed systems Perform maintenance, upgrades, and migrations Control or eliminate repetitive tasks, alert noise, and business-as-usual work Enable development teams Provide executable interfaces to our infrastructure platform Provide tools and best practices to support the entire software development lifecycle Collaborate with others across the orga

About the Team Data is at the foundation of DoorDash success. The Data Engineering team builds database solutions for various use cases including reporting, product analytics, marketing optimization and fi nancial reporting. Team serves as the foundation for decision-making at DoorDash. About the Role DoorDash is looking for a Sta ff Software Engineer,Data to be a technical lead and help architect and scale our data reliability, data infrastructure, automation and tools to meet growing business needs. You’re excited about this opportunity because you will... Own critical data systems that support multiple products/teams Develop, implement and enforce best practices for data infrastructure and automation Design, develop and implement large scale, high volume, high performance data models and pipelines for Data Lake and Data Warehouse Improve the reliability and scalability of our Ingestion, data processing, ETLs, Reporting tools and data ecosystem services Manage a portfolio of data products that deliver high-quality, trustworthy data Help onboard and support other engineers as they join the team We’re excited about you because... 8+ years of professional experience as a hands-on engineer and technical leader leading multiple projects 6+ years experience working in data platform and data engineering or a similar role You have proficiency in using AI coding tools (e.g., Claude Code, Codex, Cursor) in the full software development lifecycle, including designing, generating code, testing, monitoring and releasing software Pro fi ciency in programming languages such as Python/Kotlin/Scala 4+ years of experience in ETL orchestration and work fl ow management tools like Air fl ow Expert in database fundamentals, SQL, data reliability practices and distributed computing 4+ years of experience with the Distributed data/similar ecosystem (Spark, Presto) and streaming technologies such as Kaa/Flink/Spark Streaming Excellent communication skills and experience working

About the Team DoorDash is a data driven organization and relies on timely, accurate and reliable data to drive many business and product decisions. Data is at the foundation of DoorDash success. The Data Engineering team builds database solutions for various use cases including reporting, product analytics, marketing optimization and financial reporting. By implementing data structures and data warehouse architecture, this team serves as the foundation for decision-making at DoorDash. The focus extends to enhancing the developer experience by creating tools that support the organization's high-velocity demands. To lead the growing team of Data engineers we are looking for managers who are passionate about Data and are thought leaders in coaching, guiding and leading teams to make Data a winning edge for DoorDash. About the Role DoorDash is looking for a Data Engineering Manager to guide the development of enterprise-scale data solutions. This manager will also act as a technical expert on all things related to data architecture to empower the greater community of data engineers, data scientists, and DoorDash partners. Your focus extends to fostering an engineering culture of excellence, empowering engineers to deliver reliable, flexible solutions at scale. Additionally, you'll play a pivotal role in building and nurturing a top-performing team, driving innovation and success in a dynamic, fast-paced environment. You must be located in San Francisco, CA, Sunnyvale, CA, or Seattle, WA for this hybrid position. You’re excited about this opportunity because you will… You are a people leader. You thrive in hiring, building, growing and nurturing impactful business focused data teams You are a technology leader. You drive the technical and strategic vision for the embedded pods and foundational enablers to meet current and future needs for scale and interoperability You strive for continuous improvement of data architecture and development process You think of quick wins

About the Team DoorDash Labs is an independent innovation hub within DoorDash, focusing on developing automation and robotics solutions to enhance last-mile logistics. Our mission is to create technologies that support and augment human networks, aiming to improve efficiency for Dashers, merchants, and consumers alike. We are a highly senior team composed of former pioneers from a variety of different robotics industries. If you have a passion for applying AI and robotics solutions in a service used by millions of people, then we want to talk to you! Please Note: This role is based in San Francisco, CA, and requires being in-person 5 days a week. About the Role We are seeking a Senior RF Engineer to join our multidisciplinary team developing mission-critical RF/electrical systems for unmanned platforms.This role offers a rare opportunity to gain deep insight into RF design and validation, contributing across the full product lifecycle, from early concept and prototyping through production. In this role, you will apply deep expertise in electromagnetic theory and wireless system design to ensure autonomous platforms operate with exceptional reliability and precision. You will design, optimize and validate RF / mixed-signal PCBAs with a strong focus on interference mitigation, troubleshoot system-level desense, and leverage a thorough understanding of wireless technologies including LTE, 5G NR, Wi-Fi, GPS, and UWB. You’re excited about this opportunity because you will… Lead the development of innovative solutions that span across RF, Mixed signal and mechanical domain. Design RF hardware as well as wireless testbeds to support system validation, and lead the execution and documentation of system-level design and verification Provide expertise, mentorship to partner teams regarding EMI mitigation strategies, and cross-functional debug processes Characterize EMI caused by internal & external aggressors by tracing root causes using EMC probes

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. The Product Education team designs, develops, and launches learning experiences for Lyft customers in the in-app and web Learning Center. We partner with stakeholders across Lyft to make sure customers get accurate, timely information — from in-app safety features to tax season tips to five-star guidance — reaching hundreds of thousands of customers across the US and Canada. Our ~200 tutorials support 25M+ enrollments a year, and we work closely with the Learning Platform product and engineering teams to build the features that support customer learning at scale. We're looking for a Senior Education Content Producer to own visual asset creation and accuracy for the Learning Center. Most of your time will be spent on video editing and motion graphics. You’ll design, create and edit new videos, animations and images, and keep our existing library accurate as the underlying product is constantly evolving. You'll also need solid producer skills: pitching and managing external vendors/agencies, and running the occasional small-scale shoot. You'll work alongside our other Content Producer, who also owns asset creation and updates, and our Learning Experience Designers, who write and structure tutorial content. Together, you'll make sure every customer-facing tutorial looks and feels like Lyft, and stays that way as the product changes. Responsibilities: Visual Asset Creation & Accuracy Using the Adobe Creative Suite and Figma, edit and animate new video, motion graphics, and image assets from concept through final delivery Own the day-to-day health of our visual asset library: auditing, updating, and troubleshooting images, live-action video, UI walkthroughs, and animations across dozens of tutorials Track versioning closely as the underlying product changes, proactively catching and

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Senior Counsel, Services - Privacy, AI & Data Responsibility Overview Mastercard is seeking a Senior Counsel to serve as a dedicated Canadian privacy and data responsibility counsel supporting Mastercard’s products, services, and go-to-market activities in Canada. This role will provide practical, business-oriented legal advice on Canadian privacy, AI, data protection, consumer protection, and related regulatory requirements, with a primary focus on enabling Canadian product launches and supporting remediation of existing products, services, processes, and controls to meet Canadian legal and regulatory expectations. Role The Senior Counsel will work closely with product, regional, regulatory, commercial, and global privacy stakeholders to help Mastercard bring innovative products and services to the Canadian market in a responsible, compliant, and scalable way. The role will support the identification, prioritization, and implementation of compliance controls for Canadian requirements. You will: Serve as the Canadian Data Protection Officer for our Services business Act as the lead legal advisor on Canadian privacy, AI, data protection, consumer protection, and related regulatory matters. Provide practical legal guidance to product, business, and legal teams on Ca