Platform Product Partnerships Lead in Canada

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. Role Overview We are seeking a Senior Software Engineer to build and evolve Okta’s web platform using React and Next.js. In this role, you will bring deep frontend expertise to solve complex engineering problems autonomously from designing scalable page systems and optimizing performance to integrating CMS APIs and refining developer workflows. You work independently on ambiguous problems but thrive in collaboration with designers, content architects, and fellow engineers. AI-assisted development tools are part of how this team works, and you leverage them fluently to move faster while maintaining high standards. This is a hands-on IC role with significant autonomy and real ownership, ideal for an engineer who combines deep technical understanding with strong collaborative instincts. Key Responsibilities Frontend Development & Architecture: Build and maintain reusable page templates, features, and component systems in Next.js using TypeScript and React. Design scalable data-fetching patterns from headless CMS APIs (GraphQL and REST), transforming structured content into polished frontend experiences. Collaborate on content model design with content architects, ensuring CMS data maps cleanly to frontend templates. Implement responsive, accessible, high-performance UI following established design system patterns and propose improvements when existing patterns fall short. Design System Collaboration: Work closely with the design system team to assemble pag

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. Datastores Engineer, Platform Infrastructure The Auth0 platform secures more than 100 million logins each day for customers all around the world - and we're growing fast! The Platform Infrastructure team enables Auth0 engineers to move faster by giving them tools to easily deploy and manage their services on AWS and Azure. This is a role with a huge impact. You will get to work with engineers throughout the organization and what you build will be a foundational piece of the infrastructure that allows Auth0 to scale for years to come. We are looking for Engineer who are passionate about distributed systems, availability, and delivering customer value to join our Platform Infrastructure Datastores team. Because we build and support the overall Auth0 platform, the ideal candidate is someone who is passionate about infrastructure, operations, databases and not intimidated by cross-organization coordination and collaboration. You will: Develop our large, distributed and highly-available infrastructure. Implement platform tools that allow feature teams to deploy and manage the datastores for their services. Research new technologies to accelerate new environment creation. Carry cross team initiatives from end to end: code reviews, design reviews, operational robustness, security hygiene, etc. Participate in the team's on-call rotation. You might be a good fit if you: Have 5-8 years of software development experience. Are proficient in or have a desire

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. The Team The Auth0 Platform Tools team owns the incident management tooling, Slack-based tooling, StatusPage, and local development environments that Auth0 engineers rely on every day. That includes incident.io and the services we have built around it, Statuspage, custom Slack bot applications that automate our incident response and engineering operations workflows, the customer-facing web application behind status.auth0.com, Vivaldi, and Tilt - the tools engineers use to run Auth0 locally. We are seeking an engineer to help build new features across all of these tools. Our stack is primarily TypeScript and Node.js, with a React and Next.js front end, backed by Postgres and Redis, and deployed on Kubernetes on AWS. A significant portion of our incident and engineering operations automation is built on Tines, a no-code automation platform. Prior no-code experience is welcome, but we expect you to learn Tines here and become effective with it. Current initiatives include extending our incident tooling to meet FedRAMP requirements, taking full ownership of the status page, and improving how we communicate incident status to customers. There is real room to improve along the way, from test coverage to resilience to inherited technical debt. We build for two audiences: Auth0 engineers, who depend on our tooling every day, and Auth0's customers, who rely on the status page during incidents. We are looking for an engineer who cares about both and enjoys working wi

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. The End User Protection Team Auth0 is an easy-to-implement authentication and authorization platform designed by developers for developers. We ensure access to applications is safe, secure, and seamless for the more than 100 million daily logins worldwide. Our modern approach to identity enables this Tier-0 global service to deliver convenience, privacy, and security, allowing customers to focus on innovation. The End User Protection team is responsible for building and maintaining Auth0’s Attack Protection capabilities. Cyberattacks, such as credential stuffing and password spraying, often target end users to gain unauthorised access to applications. These attacks pose a significant threat, compromising user accounts and data. The Attack Protection features mitigate these risks by continuously monitoring user login behaviour and automatically detecting and blocking malicious activity. They protect users without adding unnecessary friction. The team works closely with our Machine Learning and AI teams to develop and deploy cutting-edge detection models. This collaboration allows application builders to provide a secure login experience for their users while isolating them from the complexities and ever-evolving tactics of these attacks. The Software Engineer II Opportunity We are looking for a Software Engineer II to join our End User Protection team. What you’ll be doing Be a part of a fast-paced, agile team. Design and buil

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. The Auth0 Team Auth0 is an easy-to-implement authentication and authorization platform designed by developers for developers. We make access to applications safe, secure, and seamless for the more than 100 million daily logins around the world. Our modern approach to identity enables this Tier-Ø global service to deliver convenience, privacy, and security so customers can focus on innovation. This team focuses on providing tenant-level protections to our customers, at scale. From bot detection to brute-force to suspicious IP throttling and beyond, this team often provides the first line of defense for Auth0 customers. The Staff Software Engineer At Okta, we’re building the next generation of authentication for the GenAI era. We’re looking for a Staff Software Engineer to join the AI DevEx team at Auth0. This role is pivotal in extending and complementing our Auth for GenAI offering by building the infrastructure, tooling, and developer experiences that empower both human developers and AI agents to build secure, intelligent applications. Auth0 Emerging Tech is the Engineering organization where we take care of the hottest technology out there: we ship fast, we don't break things. We are a dynamic and collaborative distributed and diverse team. We value ownership, learning and innovation. This is an ideal role for an engineer who enjoys building for other engineers, working across stacks, and shaping the

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. Toronto, ON – Onsite 4 Days/Week (Mon–Thurs) Relocation required if not local – no relocation assistance provided The Team At Okta, we’re building the world’s identity platform — one that empowers people, protects data, and fuels digital innovation. Our customers (think: JetBlue, T-Mobile, Sonos, Zoom) trust us to help them stay secure, seamless, and scalable in a world where everything and everyone is connected. And behind the tech? People like you — curious, motivated, collaborative learners who want to do meaningful work alongside great teammates. The Opportunity: Where High Potential Meets High Impact Let’s be real: There are a lot of SDR roles out there. But at Okta, we do things differently. This isn’t just a stepping stone — it’s your launchpad into a long-term sales career in one of the most exciting industries in tech: cybersecurity and identity. We’re looking for driven, curious individuals who thrive in fast-paced environments, embrace feedback, and want to make a tangible impact every day. As an SDR at Okta, you'll do more than prospect — you’ll uncover real business challenges, collaborate cross-functionally, and set the foundation for meaningful customer relationships. What You'll Be Doing Research accounts and contacts to develop thoughtful outreach strategies using tools like Salesforce, Outreach, and LinkedIn Sales Navigator Collaborate with Marketing and Account Executives to plan and execute prospecting campaigns Enga

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. Position Description: The Services Architect is a technical authority on both cloud and on-premises based IT systems and is responsible for ensuring the successful design and implementation of Okta’s industry leading cloud identity platform for our customers. You will focus on Okta’s Workforce Identity Cloud offering targeted at customer identity use cases. You will develop relationships with customers to help them achieve their business goals while promoting creative solutions. You will establish yourself as a trusted partner with your customers with a focus on their success. You will translate business needs and insights into an actionable strategy and assist customers in driving their initiatives to results and high business value. This is a key member of the Professional Services (PS) team, working as part of a PS Delivery Team on each customer implementation. Job Duties and Responsibilities: Review and lead the gathering of business, functional and technical requirements for establishing an Identity platform powered by Okta for our customers. Work with customers to document the common technical and functional requirements for specific solutions. Support creation of project plans to develop and implement the proposed solution. Participate as a member of the professional services delivery team to translate requirements to designs and to provide technical leadership and oversight. Assist in periodic customer health-checks and proje

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 Mapping team at Lyft is tasked with building a digital representation of the physical world - a map. We collect and serve the freshest and most accurate mapping data possible, along with algorithms, models, platform services, and map-based user experiences that power Lyft’s current and future transportation offerings. Mapping represents a huge opportunity for Lyft’s business, but also a big challenge. We build and scale systems that deal with large data storage, real-time data processing, machine / deep learning pipelines, routing and ETA models, driver and passenger location tracking, and more. We built beautiful and magical user experiences on top of all those services, and compete with companies that have been in the mapping business for decades. Our engineering team is growing rapidly, and we are looking for Engineering Managers to help us scale. Our engineers are smart, flexible, and love solving difficult challenges. They look to their managers for organizational transparency, career development, mentorship, and honest feedback. They move fast and ship code to production continuously, relying on their leadership to increase productivity by removing obstacles and keeping processes lean. Responsibilities: Manage a rapidly growing team of engineers developing user-facing Mapping experiences Mentor and guide the professional and technical development of your team members. Help develop their careers and assign them to projects tailored to their skill levels, personalities, work styles, and professional goals Build teams that are collaborative, inclusive, and respectful of each other Provide continuous feedback, address underperformance, and recognize the individual strengths and contributions of your team members Create plans for prioritizing technical and resourcing challenges in your organizat

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. Lyft is looking for an IT Systems Engineer to lead the technical side of integrating newly acquired companies into Lyft's IT environment. You'll be responsible for migrating collaboration tools, SaaS platforms, and identity systems from acquired teams into Lyft's stack, with minimal disruption to either side. We're looking for a self-starter who's equally comfortable driving projects independently and partnering with others to get things done. The ideal candidate brings strong attention to detail, creative problem-solving, and a genuine drive to automate processes and improve efficiency across the IT organization. Responsibilities: Manage SaaS integration and consolidation during merger and acquisition activity, ensuring smooth platform migrations, data integrity, and minimal disruption across merged organizations Provide architectural, engineering, and operational support for corporate IT systems at Lyft Support single sign on integrations with Lyft’s primary identity provider, Okta. Leverage various APIs to write scripts and applications to automate IT Operations Support and work with IT, Security and other internal departments by building automation for repetitive tasks Write detailed and concise documentation and runbooks Engage with vendors to implement and improve services to best support Lyft’s needs Be a mentor to others in IT and act as a source for others Experience & Skills: 5+ years of experience managing corporate IT Systems Proven experience supporting IT integration during mergers, acquisitions, or divestitures, including SaaS platform consolidation and system migrations SaaS system application management including but not limited to: Gsuite, Okta, Atlassian, Slack Scripting experience leveraging GAM, Python, Bash, and/or equivalent tools Comfortable consuming RES

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. We are hiring a Machine Learning Engineer to join our ETA team. Our team builds and maintains Lyft's system responsible for estimating/predicting ETAs for every ride request on our platform. ETAs play a critical role in matching decisions, pricing estimates and overall user experience. Low latency, high reliability and high accuracy are paramount for our success. If you are a critical thinker with experience in machine learning workflows and writing reliable code, passionate about solving business problems using data and working in a dynamic, creative, and collaborative environment, we are searching for you. Our technology stack runs on AWS, Kubernetes, Go, Spark, Python and Apache Airflow. In this role, you will work with incredibly passionate and talented colleagues from software engineering, machine learning and data science on building rideshare experiences that delight millions of riders and drivers. Responsibilities: Perform data analysis and build proof-of-concept to explore and compare ML and non-ML solutions Be able to make effective tradeoffs between model accuracy, its productization complexity and runtime performance Develop statistical, machine learning, or optimization models Write production quality code that can scale well to serve millions of requests per day Participate in code reviews, design reviews, production on-call support and incident triaging process. Write well-crafted, well-tested, readable, maintainable code Experience: B.S., M.S., or Ph.D. in Computer Science or other quantitative fields or related work experience 3+ years of Machine Learning experience Nice-to-have: Experience with big data processing / distributed data pipelines and tools such as Apache Airflow and Spark Ability to work in distributed teams spread across time zones. (North America and

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. We are hiring a Business Systems Lead to own the sales technology behind Lyft Ads. As the senior technical owner of the Lyft Ads CRM and commercial systems, you will lead solution design across Salesforce and the connected ad-sales stack and own the architecture for how ad deals move from opportunity through order management and billing. You will work alongside a team of Salesforce engineers and partner closely with Ads Sales, Sales Operations, Ad Operations, Finance, Legal, and the Media engineering teams. This is a hands-on leadership role for someone who knows ad-sales operations and can build the systems that run them. Responsibilities: Own the Salesforce architecture for the ad-sales lifecycle, from lead sourcing and opportunity creation through Order Management System (OMS) integration, contract execution, delivery reconciliation, and billing. Identify problems and opportunities across the Ads sales technology stack and shape them into scoped, funded initiatives. Lead requirements with Ads Sales, Sales Operations, Ad Operations, Finance, and Legal partners, and translate them into functional and technical designs. Own the integrations that connect Salesforce to the ad-sales ecosystem, including order management and contract systems, the ad server, and billing, through middleware such as Workato or Boomi. Drive AI best practices across the Sales Technology team, modeling effective usage and ensuring all AI-generated output meets Lyft's standards for quality, security, and performance. Guide the evolution of the Ads CRM platform, including the media-specific data model (agency, advertiser, and brand hierarchies, insertion orders, and flights) and own the Ad Sales Technology roadmap . Lead contract lifecycle management for Ads, including intake automation and Salesforce integration. Remain h

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 Mapping team at Lyft is tasked with building a digital representation of the physical world - a map. We collect and serve the freshest and most accurate mapping data possible, along with algorithms, models, platform services, and map-based user experiences that power Lyft’s current and future transportation offerings. Mapping represents a huge opportunity for Lyft’s business, but also a big challenge. We build and scale systems that deal with large data storage, real-time data processing, machine / deep learning pipelines, routing and ETA models, driver and passenger location tracking, and more. We built beautiful and magical user experiences on top of all those services, and compete with companies that have been in the mapping business for decades. Our engineering team is growing rapidly, and we are looking for Engineering Managers to help us scale. Our engineers are smart, flexible, and love solving difficult challenges. They look to their managers for organizational transparency, career development, mentorship, and honest feedback. They move fast and ship code to production continuously, relying on their leadership to increase productivity by removing obstacles and keeping processes lean. Responsibilities : Manage a rapidly growing team of engineers developing user-facing Mapping experiences Mentor and guide the professional and technical development of your team members. Help develop their careers and assign them to projects tailored to their skill levels, personalities, work styles, and professional goals Build teams that are collaborative, inclusive, and respectful of each other Provide continuous feedback, address underperformance, and recognize the individual strengths and contributions of your team members Create plans for prioritizing technical and resourcing challenges in y

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. With a billion rides per year and counting, Lyft is solving hard problems in a rapidly growing domain with a lot of data and creative solutions in Rider, Marketplace, Growth, and beyond. While traditional approaches to optimization and problem decomposition are sufficient to disrupt transportation, building a next-generation platform for low-cost, ultra-immersive transportation to improve people's lives warrants modern ML utilizing peta-byte scale data. Our highly motivated Machine Learning Engineers work on these challenging problems and define solutions to directly impact various aspects of our core business. If you are a critical thinker with experience in machine learning workflows and LLMs, passionate about solving business problems using data and working in a dynamic, creative, and collaborative environment, we are searching for you. We are seeking a Senior Machine Learning Engineer to join the Rider Applied AI team and lead the design, development, and deployment of state-of-the-art machine learning and artificial intelligence systems. This role requires a strategic thinker who can balance high-level system architecture with hands-on technical implementation. You will collaborate across teams to shape the future of ride-sharing by leveraging AI, Machine learning and Data science. Responsibilities: Model Development & Research: Design, build, and deploy machine learning models for real-time applications, including translating state-of-the-art research into production-ready solutions. System Design: Architect scalable, reliable ML pipelines that integrate seamlessly with existing backend systems. Innovation & Applied Research: Stay ahead of the curve by exploring emerging algorithms, technologies (such as LLMs and LLM-based applications), and frameworks — critically eva

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. With a billion rides per year and counting, Lyft is solving hard problems in a rapidly growing domain with a lot of data and creative solutions in Rider, Marketplace, Growth, and beyond. While traditional approaches to optimization and problem decomposition are sufficient to disrupt transportation, building a next-generation platform for low-cost, ultra-immersive transportation to improve people's lives warrants modern ML utilizing peta-byte scale data. Our highly motivated Machine Learning Engineers work on these challenging problems and define solutions to directly impact various aspects of our core business. If you are a critical thinker with experience in machine learning workflows and LLMs, passionate about solving business problems using data and working in a dynamic, creative, and collaborative environment, we are searching for you. We are seeking a Senior Machine Learning Engineer to join the Rider Applied AI team and lead the design, development, and deployment of state-of-the-art machine learning and artificial intelligence systems. This role requires a strategic thinker who can balance high-level system architecture with hands-on technical implementation. You will collaborate across teams to shape the future of ride-sharing by leveraging AI, Machine learning and Data science. Responsibilities: Model Development & Research: Design, build, and deploy machine learning models for real-time applications, including translating state-of-the-art research into production-ready solutions. System Design: Architect scalable, reliable ML pipelines that integrate seamlessly with existing backend systems. Innovation & Applied Research: Stay ahead of the curve by exploring emerging algorithms, technologies (such as LLMs and LLM-based applications), and frameworks — critically eva

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. As a Frontend Software Engineer on the Operator Core Tooling pod, you'll play a vital role in building the robust services that power our critical operations tooling platform. Your work will directly empower our micromobility operations teams by providing them with intuitive and efficient tools, significantly improving their daily workflows as they manage our fleet. You'll collaborate closely with business leaders, front-end developers, and data scientists across Lyft to achieve this impact. Responsibilities: Help define the roadmap and architecture based on technology and business needs Write well-crafted, well-tested, readable, maintainable code Have a good grasp and ability to explain the various tradeoffs made in decisions Participate in code reviews to ensure code quality and distribute knowledge Lead projects from idea to positive execution Incorporate considerations for business context and failure modes in your work Proactively participate in resolving ongoing incidents Unblock, support, effectively communicate and obtain buy-in across teams to achieve results Share your knowledge by giving brown bags, tech talks, and evangelizing appropriate tech and engineering best practices See the direct impact of your work on the efficiency of our operating teams Experience: 3+ years of software engineering industry Advanced knowledge of JavaScript Experience working with modern JavaScript frameworks, like React Experience working with NodeJS and Express applications Experience working with design systems (e.g. Bootstrap, Salesforce Lightning, GitHub Primer) Good understanding of web performance and how browsers and DOM work Experience with unit, integration, and end-to-end testing Experience designing, building and improving a set of team owned components Culture of investigating and solvin