Project Head in Toronto

Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading. About the team + role We are building an elite team, applying frontier technologies to the world's biggest financial problems. We're looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn't a place for complacency, it's where ambitious people do the best work of their careers. We're a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards. Our backend developers sit at the core of how Robinhood works — powering the financial products that millions of people rely on every day. We build and scale the services, infrastructure, and data systems behind brokerage, crypto, payments, and more. We move fast, hold high standards, and solve problems that actually matter — at a scale that very few developers ever get the chance to touch. As a Software Developer Intern, Backend, you won't be on the sidelines — you'll own a meaningful project end-to-end, from initial scoping through to production. You'll be embedded on a real team, working directly with experienced developers, diving deep into how the US financial system actually operates, and shipping software that meets the correctness and scale requirements of a live financial platform. This is a summer where you'll leave with real impact to show for it! This role is based in our Toronto, ON office, with in-person attendance expected at least 3 days per week. At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-perfor

Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading. About the team + role We are building an elite team, applying frontier technologies to the world's biggest financial problems. We're looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn't a place for complacency, it's where ambitious people do the best work of their careers. We're a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards. Our backend developers sit at the core of how Robinhood works — powering the financial products that millions of people rely on every day. We build and scale the services, infrastructure, and data systems behind brokerage, crypto, payments, and more. We move fast, hold high standards, and solve problems that actually matter — at a scale that very few developers ever get the chance to touch. As a Software Developer Intern, Backend, you won't be on the sidelines — you'll own a meaningful project end-to-end, from initial scoping through to production. You'll be embedded on a real team, working directly with experienced developers, diving deep into how the US financial system actually operates, and shipping software that meets the correctness and scale requirements of a live financial platform. This is a winter where you'll leave with real impact to show for it! This role is based in our Toronto, ON office, with in-person attendance expected at least 3 days per week. At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-perfor

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. Staff FullStack Engineer, AI Acceleration Team The AI Acceleration Team The AI Acceleration Team builds AI features right where identity and agents meet. Companies are handing real access to AI agents faster than their controls can keep up, and two problems show up first: how do you authorize what an agent is allowed to do on someone's behalf, and how do you keep both people and agents from being phished? We take those on directly. Our North Star: to get AI right, you have to get identity right. We are a new team, and we shape the problems as much as we solve them. We bring a product mindset to the work: we dig into what customers actually need, define the outcome, and build toward it. We move fast, stay close to the real problem, and are honest about what works. The Staff FullStack Engineer Opportunity As a Staff FullStack Engineer on the AI Acceleration Team, you will own the technical build for solving agent authorization and phishing resistance. You see what needs doing and start it. This is 0-to-1 work, meaning you will move on problems before they are fully specified, always keeping customer success as the ultimate bar. You will help shape which problems we take on, make architectural calls that outlive any single project, and set the technical bar for how we work. You will enforce least privilege for what agents can do and make phishing-resistant access the default. We build with Vercel and AWS, and you will likely work heavily in JavaScript/TypeScri

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. Staff FullStack Engineer, AI Acceleration Team The AI Acceleration Team The AI Acceleration Team builds AI features right where identity and agents meet. Companies are handing real access to AI agents faster than their controls can keep up, and two problems show up first: how do you authorize what an agent is allowed to do on someone's behalf, and how do you keep both people and agents from being phished? We take those on directly. Our North Star: to get AI right, you have to get identity right. We are a new team, and we shape the problems as much as we solve them. We bring a product mindset to the work: we dig into what customers actually need, define the outcome, and build toward it. We move fast, stay close to the real problem, and are honest about what works. The Staff FullStack Engineer Opportunity As a Staff FullStack Engineer on the AI Acceleration Team, you will own the technical build for solving agent authorization and phishing resistance. You see what needs doing and start it. This is 0-to-1 work, meaning you will move on problems before they are fully specified, always keeping customer success as the ultimate bar. You will help shape which problems we take on, make architectural calls that outlive any single project, and set the technical bar for how we work. You will enforce least privilege for what agents can do and make phishing-resistant access the default. We build with Vercel and AWS, and you will likely work heavily in JavaScript/TypeScri

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 software engineers from a scope of disciplines. We are growing our team with people who want to build, improve and incorporate technologies that make the lives of our community more enriched. As an engineer at Lyft, you'll collaborate with teams like product, data science, analytics, and operations on code that empowers us to iterate quickly, while focusing on delighting our passengers and drivers. The Applied AI team is looking for a senior software Engineer to join the Recommendations team. You will build the backend systems that decide what we surface to riders. You will architect the pipelines and services that turn rider context and signals into the right offer at the right moment, driving a measurable impact on rider experience. Responsibilities: Establish engineering best practices and patterns; help uplift the team's craft and drive a culture of engineering excellence Drive high-impact projects and innovate new solutions to deliver the best user experience Produce and drive scalable system design for large, complex features — from idea through execution and launch Mentor engineers on the team, providing technical guidance and supporting their growth Champion and evangelize the use of AI tools to accelerate engineering productivity across the team, sharing patterns and best practices that raise the bar for how the team builds Write well-crafted, well-tested, readable, maintainable code Participate in code reviews to ensure code quality and share knowledge across the team Participate in the team's on-call rotation; identify, triage, debug, and resolve issues across our applications and platforms Excellent communication skills and the ability to explain the various trade offs made in decisions Manage project priorities, deadlines, and deliverables. Experience: BS/MS or

About Sentry Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building. Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future. Ready to build the future of mobile app monitoring? This is no ordinary engineering role. At Sentry, our Mobile SDK team creates the next generation of tools for developers worldwide, processing over a billion events every single day. We're looking for a talented Senior iOS SDK Engineer to join our team of experts. You'll dive deep into Apple's most advanced technology, from powerful new APIs and SwiftUI to Foundation Models. If you love using cutting-edge tech to solve complex challenges, you've found your team. What you will achieve in this role As the owner of our iOS SDK, you will guide its development from the core architecture to the final product experience. You'll pioneer exciting new features like Session Replay and next-generation performance monitoring, all while mastering Apple's latest innovations like modern concurrency and on-device AI. You will design robust, high-quality APIs built to handle massive scale, and you'll get to shape the overall vision for mobile at Sentry. Ultimately, you will be the go-to expert, helping our teams solve the most complex and interesting customer challenges. Why you will love this role We're looking for someone who is passionate about their craft and loves building elegant, intuitive tools that other developers are excited to use. You'll have the chance to contribute full-time to a major open-source project and see the immediate impact of your work in our fast-paced environment. You will be surrounded by thoughtful, collaborative engineers who are dedicated to a culture of excellence, constantly pushing each other to learn, grow, and produce their best work. Qualifications 5+ ye

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 Senior Regional Marketing Specialist We are looking for a strategic and results-driven individual to support the planning and execution of our regional marketing programs and initiatives supporting our Canada sales organization. This role is essential to achieving our ambitious revenue goals by executing impactful marketing strategies and demand generation programs that drive regional pipeline growth. As part of the Americas Field Marketing team, you will report to the Sr Manager, Regional Marketing Enterprise Canada/East Region. This role will work closely with the sales organization and collaborate within the broader marketing organizations (e.g. Partner Marketing, Digital, Strategic Events, Product Marketing, Global Campaigns, and Marketing Operations) to ensure strategic alignment and achieve business outcomes. What You’ll Be Doing Program Planning & Execution: Work directly with the Senior Regional Marketing Manager for Canada as well as sales and sales leaders to execute integrated demand generation programs across events, digital, partner, and outbound channels. This includes managing logistics, communications and being onsite at key events to ensure everything runs smoothly. Project & Campaign Management: Coordinate with both internal teams and external partners and vendors to develop marketing campaign assets—from creative and email sequences to curated content and campaign offers. Bring ideas to lif

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 Customer First Team We are a team of Identity and Access Management experts. We help customers, businesses, and organisations maximise their Okta IAM platform investment, providing rapid time-to-value in adoption and usage and promoting scalability and agility. Our team sits within the Customer First area - focused on ensuring the long term success of our customers. Join our team! We’re building a world where Identity belongs to you. Role Summary Reporting to the Sr. Manager, Business Architecture the Program Manager, Delivery Innovation + Strategic Programs, a critical individual contributor role within our Global Professional Services and Delivery Success organization. This role sits at the intersection of delivery excellence, partner enablement, and business intelligence. Unlike product-focused enablement roles, this position is laser-focused on delivery methodology, operational execution standards, and project-level governance. Your mission is to drive better customer and partner outcomes by analyzing real-world professional services delivery, translating common implementation patterns into repeatable requirements, and creating standard delivery methodologies. You will bridge the gap between internal and external execution by packaging these delivery frameworks into external playbooks, checklists, and blueprints that our internal teams and service delivery partners can leverage to execute consistently. Additionally, you will support our strate

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 software engineers from a scope of disciplines. We are growing our team with people who want to build, improve and incorporate technologies that make the lives of our community more enriched. As an engineer at Lyft, you'll collaborate with teams like product, data science, analytics, and operations on code that empower us to iterate quickly, while focusing on delighting our passengers and drivers. The Applied AI team is looking for a Backend Engineer to join the AI Entries team. You will build the foundational infrastructure that connects Lyft to emerging AI ecosystems and devices and architect the APIs and orchestration layers that allow third-party agents and multimodal interfaces to interact with Lyft. By building these robust integration, you will help make Lyft available where our riders are. Responsibilities: Establish engineering best practices and patterns; help uplift the team's craft and drive a culture of engineering excellence Drive high-impact projects and innovate new solutions to deliver the best user experience Produce and drive scalable system design for large, complex features — from idea through execution and launch Mentor engineers on the team, providing technical guidance and supporting their growth Write well-crafted, well-tested, readable, maintainable code Participate in code reviews to ensure code quality and share knowledge across the team Participate in the team's on-call rotation; identify, triage, debug, and resolve issues across our applications and platforms Have the ability to explain the various trade offs made in decisions Manage project priorities, deadlines, and deliverables. Experience: BS/MS or equivalent in Computer Engineering, Computer Science, or related field or equivalent practical experience. 5+ years of software engineering/production

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 connects people to transportation to change the way we live and get around our communities. We are looking for a Senior Staff Technical Program Manager who brings exceptional technical and analytical skills to drive execution across high-impact product initiatives. Come be part of a team at Lyft focused on enabling and empowering engineering teams to deliver at scale. Technical Program Managers at Lyft drive cross-functional initiatives, leveraging strong leadership, planning, communication, and collaboration skills. Our TPMs are technically strong with deep product and software engineering experience. They are problem solvers who make things happen by setting clear goals and inspiring teams to deliver. TPMs at Lyft are both strategic and tactical, doing what it takes to successfully deliver top-priority programs that have a material impact on the business. This role will support product-facing teams within Rideshare, focusing initially on the Partnerships, Loyalty and Payments organization, where you will be responsible for helping them to create a singular loyalty offering that is accessible, emotional, rewarding, and which makes it simple to choose Lyft. You will collaborate with engineering, product, data science, design, analytics, and operations to drive iterative delivery that delights our riders and drivers. Responsibilities Lead cross-functional product initiatives from ideation through planning, execution, launch, and post-launch — ensuring alignment, accountability, and measurable outcomes at every phase. Provide hands-on support across all phases of the software development lifecycle, including project planning, resource allocation, progress tracking, risk mitigation, KPI ownership and measurement, and leadership communications. Partner with engineering, product, data science, design

About the Team: Tubi's Internal Tools team is at the forefront of AI integration, developing everything from developer resources to production-grade AI for business operations. We are the group responsible for turning AI from an experiment into an operating capability: training, infrastructure, developer agents, and AI-powered business systems. Engineers operate with high ownership and autonomy, collaborating on shared architectural decisions and AI infrastructure. What You'll Do: Own systems end to end — design them, build them, and support them in production. Lead the projects you own: sequence the work, decide what lands first, and set technical direction for the engineers working with you. Sit with the people who use what you build, and turn what you learn there into a system. Design the service boundaries, contracts and schema evolution that let our platforms grow without breaking the teams depending on them. Make our AI systems dependable in production: evaluation harnesses, human approval steps before an agent acts, retries that handle a model returning something unexpected, and cost tracking that tells you what a task costs before you run it. Build what other engineers build on — agent skills, tool and MCP integrations, shared libraries — and raise the bar through code review, design discussion and mentoring. Spot the platform work nobody has asked for yet, make the case for it, and build it. Your Background: 5+ years of professional experience building and operating production systems, from design through production ownership. A system you designed and can walk us through end to end — where its boundaries sit, what constrained it, and what you chose against. Strong programming proficiency in a statically typed language such as Rust, Go, C++, Java, Kotlin, C#, or TypeScript. Production Rust is a plus rather than a requirement. You have owned a service in production: you wrote the runbooks, you knew what it cost, and you were the one paged when it broke. Expe

About the Role: The Machine Learning team at Tubi drives the innovation behind personalized user experiences. With the largest inventory in the industry and hundreds of millions of viewers, we tackle problems in the space of recommendations, search, content understanding and ads optimization that shape the future of streaming. We are seeking a highly skilled Senior Machine Learning Engineer to contribute to transformative projects in video personalization. In this role, you will design and implement advanced algorithms and systems to improve our personalization strategy. As a senior technical expert, you will tackle complex problems in machine learning at scale, collaborating closely with cross-functional teams to develop and optimize machine learning-driven solutions. This is a hybrid role in our Toronto office. What You'll Do: Design, develop, and implement recommendation systems and algorithms for a global audience Conduct deep dives into algorithmic components and systems, ensuring that models are optimized for both performance and scalability across multiple regions and product areas Build and deploy high-impact robust ML pipelines, including data extraction, feature development, model training, testing, and deployment Continuously monitor, evaluate, and optimize the performance of deployed models, ensuring they meet business goals and provide high-quality user experiences. Work closely with Product, Engineering, and Data Science teams to align on product requirements, set expectations, and deliver machine learning-driven solutions that improve user engagement Your Background: 3+ years of industry experience building production Machine Learning systems BS, MSc, or Ph.D. in Computer Science, Machine Learning, Statistics, Mathematics, or a related field Experience with deep learning technologies for recommendation systems, including TensorFlow, PyTorch, or similar frameworks Proficiency in building and deploying full-stack machine learning pipelines: data e

About the Role: The Machine Learning team at Tubi drives the innovation behind personalized user experiences. With the largest inventory in the industry and hundreds of millions of viewers, we tackle problems in the space of recommendations, search, content understanding and ads optimization that shape the future of streaming. We are seeking a highly skilled Staff Machine Learning Engineer to contribute to transformative projects in video personalization. In this role, you will design and implement advanced algorithms and systems to improve our personalization strategy. As a senior technical expert, you will tackle complex problems in machine learning at scale, collaborating closely with cross-functional teams to develop and optimize machine learning-driven solutions. This is a hybrid role in our Toronto office. What You'll Do: Lead the design, development, and implementation of advanced recommendation systems and algorithms for a global audience Conduct deep dives into algorithmic components and systems, ensuring that models are optimized for both performance and scalability across multiple regions and product areas Build and deploy high-impact robust ML pipelines, including data extraction, feature development, model training, testing, and deployment Continuously monitor, evaluate, and optimize the performance of deployed models, ensuring they meet business goals and provide high-quality user experiences. Work closely with Product, Engineering, and Data Science teams to align on product requirements, set expectations, and deliver machine learning-driven solutions that improve user engagement Your Background: 8+ years of industry experience building production Machine Learning systems MSc or Ph.D. in Computer Science, Machine Learning, Statistics, Mathematics, or a related field Experience with deep learning technologies for recommendation systems, including TensorFlow, PyTorch, or similar frameworks Proficiency in building and deploying full-stack machine le

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

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 Trust & Safety function at Lyft is dedicated to keeping every Lyft ride safe for both riders and drivers. We build and maintain the tools, features, and systems that deter bad actors, protect vulnerable populations, and reinforce trust across the platform. As an Backend Engineer working on Trust & Safety, you'll work at the intersection of product, design, engineering, and policy to ship high-impact safety features to millions of users. Responsibilities: Drive high-impact projects and innovate new solutions to provide the best user experience. Work closely with cross-functional teams and partner teams to develop solutions based on technology and business needs, and advance team’s goals and priorities Independently lead features from idea to positive execution and launch Unblock, support and communicate with internal partners to achieve results Write well-crafted, well-tested, readable, maintainable code Utilize your expertise in Python, Golang, AWS to deliver robust and scalable solutions Participate in code reviews to ensure code quality and distribute knowledge, as well as on call rotations Share your knowledge by giving brown bags, tech talks, and promoting appropriate tech and engineering best practices Experience: BS/MS or equivalent in Computer Engineering, Computer Science, or related field or relevant work experience 3+ years of software engineering industry experience Extensive experience in object oriented programming, ideally in GoLang or Python Experience in backend software development of distributed systems and concurrency Strong oral and written communication skills, and ability to collaborate with and influence cross-functional partners Benefits: Extended health and dental coverage options, along with life insurance and disability benefits Mental health benefits Family bui