Amplitude is the leading AI analytics platform, helping over 4,700 customers—including Atlassian, Burger King, NBCUniversal, and Square—build better products and digital experiences. With powerful AI Agents embedded across our platform, teams can analyze, test, and optimize user experiences faster than ever. Ranked #1 across multiple categories in G2’s Winter 2026 Report, Amplitude is the best-in-class solution for product, data, and marketing teams. Learn more at amplitude.com . As an organization, we deliver for our customers by living our values. We operate from a place of humility, take ownership of problems and successes, approach challenges with a growth mindset, and put our customers at the center of everything we do. Amplitude’s Commitment to Diversity Equity & Inclusion (DEI): Amplitude believes that diversity enables the creation of better products, improves the ability to solve complex problems, and drives more powerful solutions. We strive to create an environment of inclusion—one focused on psychological safety, empathy, and human connection—that will allow employees of all backgrounds to thrive. About the Team DevX owns engineering velocity at Amplitude: build systems, CI/CD, developer environments, and internal tooling. We're building a software factory: automated workflows that remove manual bottlenecks from how engineers ship code. The Role We're looking for a Staff Software Engineer – DevX (Hybrid – San Francisco) who bridges infrastructure and application thinking and can accelerate how the whole team develops, tests, and ships in the cloud. You'll set architecture for our developer platform, lead our software factory work, and push our development model toward cloud-first workflows. This is a high-leverage, low-oversight role. You'll own initiatives end to end, from an ambiguous problem to production, and set technical direction for a foundational team. What You'll Do Cloud development platform: Unify and scale our existing loca
Jobs in Canada
Staff Ai Security Engineer in Canada
241 active opportunities · Updated October 2026
Showing
12 jobs
Explore current staff ai security engineer jobs across Canada. Filter by work mode, employment type, experience, department, date posted and distance.
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 builders and sharp problem-solvers who are wired to deliver great outcomes. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. The DevX team’s mission is to build and operate the core developer infrastructure at Robinhood. Our team owns and scales the systems that thousands of engineers rely on daily, partnering with software developers across the company to make development fast, reliable, and cost-efficient! As a Staff Software Developer, you will act as a technical leader for our build and developer infrastructure, driving the strategy and execution of the systems thousands engineers depend on every day. Your work will span our build systems, CI pipelines, and remote development environments, ensuring engineers can code, test, and build with speed, safety, and reliability at scale. In this role, you will collaborate with teams across Robinhood to eliminate developer friction and raise the bar for engineering productivity. This is a high-visibility leadership opportunity to shape our developer ecosystem and set new standards of engineering efficiency! This role is based in our Toronto, ON office(s), 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-performing teams. What you’ll do Architect the long-te
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 an Applied Scientist specializing in Machine Learning and Operations Research on this team, you will develop mathematical models and launch algorithms that power these key pricing and ETA decisions. You will leverage your skills to build ML and optimization models and productionalize pipelines that can scale to millions of calls per day while solving critical business problems that have a big impact on the marketplace and rider experience. You will get exposure to a diverse set of real-world problems across optimization, prediction, machine learning, and inference and collaborate closely with teammates and stakeholders across Pricing, from Product Managers to Engineers and Analysts. We are looking for someone who is excited about working in a fast-paced, innovative, and impactful environment, and is adept at balancing complexity and efficiency to translate real world business problems into reliable solutions, systems and decision frameworks. Responsibilities Partner with Data Scientists, Engineers, Product Managers, and Business Partners to frame problems mathematically and within the business context Write production quality code. Design, build and deploy production-grade ML and Optimization models. Able to build custom methods and tooling beyond off-the-shelf libraries. Perform data analysis and build proof-of-concepts to explore and propose ML and Optimization solutions to both new and existing problems. Evaluate machine learning systems against business goals. Collaborate with Engineers to implement algorithms in live systems and ensure the robustness of the systems Establish metrics and development measurement methodologies to monitor the health of our products, as well as the impacts on user and marketplace outcomes Drive collaboration and coordination with cross-functional teams
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. The Developer Infrastructure org is the engine behind Robinhood's entire engineering organization — a collection of tightly integrated teams whose collective mission is to make every engineer at Robinhood faster, more reliable, and exponentially more productive. The org spans four major teams: DevX (Developer Experience), TestX (Test Infrastructure), Backend Platform, and Mobile Platform. DevX owns Robinhood's monorepo and Bazel-based build infrastructure — the critical layer between a developer writing code and that code being ready to ship — along with the company's full CI/CD pipeline and remote build execution cluster. TestX owns the infrastructure behind Robinhood's entire test experience: the integration test environments, and personal development environments that serve as miniature simulations of the full Robinhood system, giving engineers a safe, isolated space to test their code end-to-end before it ever touches production. Backend Platform and Mobile Platform own the core language runtimes, libraries, IDEs, and developer toolchains across Python, Go, TypeScript, Swift, and Android. Together, these teams share a single north star: leveraging AI and agentic systems
About the Role At DoorDash we are redefining what it means to be a designer. We are building towards a team of makers, builders, and doers. Between 2005 and 2015, "web designer" became "product designer" and the scope widened. The same shift is happening now — LLMs are expanding the T again, toward strategy on one end and direct execution on the other. As a Staff Product Designer, you will lead this shift across your team: not just practicing build-first design, but multiplying it through the people and systems around you. We're seeking an ambitious and system design minded Staff Product Designer to lead “Meals for Work” within DoorDash for Business , a strategic area at the heart of redefining workplace dining and company perks. You’ll craft transformative consumer and enterprise experiences, from tools that make team lunch ordering effortless to scalable solutions for catering, company paid recurring meals, and grocery benefits. This role offers a unique opportunity to design powerful systems that help workplace admins plan, manage, and operate food programs with confidence, while pioneering new offerings in an evolving market. This position is open for candidates in San Francisco, Seattle, or New York City, and will report to the Head of New Bets Design within our Consumer organization. You will work in a hybrid model, working from one of our offices 1-2 times a week with the rest working from home. Your primary impact is making the team faster and more autonomous. You build reusable workflows, shared tools, and decision frameworks that let every designer on your team operate at a higher level with less coordination overhead. Your secondary impact is revenue: the speed and quality gains you unlock translate directly into more experiments shipped, faster iteration cycles, and measurable business outcomes across your team and adjacent teams. You're excited about this opportunity because you will... Define projects with a clear point of view on what to build,
Staff GenAI Engineer - Early PDN Modeling — San Jose, CA. Apply via Workday.
Staff GenAI Engineer - AMS Design and Optimization — San Jose, CA. Apply via Workday.
From C$172K/yr
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 product managers who bring exceptional creative and analytical skills to drive forward a best in class product. Product management at Lyft leads the integration of engineering, data science, and design to achieve the company's vision for reinventing transportation. We are looking for entrepreneurial and passionate Product Managers to innovate and execute across a rapidly growing, fast paced company and industry from our Toronto office. Every great support experience depends on the person behind it having the right tools, context, and intelligence to solve the problem in front of them. The Platform & Data teams build the tools our human support agents work in every day—and own the data that tells Lyft, and the world, what our customers are actually experiencing. As AI rapidly changes what's possible, we're reinventing how agents work: pairing them with copilots and AI that surface the right answer instantly, take on repetitive work, and raise the quality and consistency of every interaction. At the same time, we're building the data foundation that turns millions of support contacts into an accurate, trusted view of issue types and trends—used inside the team, across the company, and in what we report externally. This role owns that mandate end to end: setting the vision and strategy, and driving execution on the hardest problems across both the platform and its data. Responsibilities: Own the vision, strategy, and multi-quarter roadmap for Lyft's agent platform and the data that powers customer care & safety reporting Define and drive how AI and copilot capabilities make agents more efficient and raise the quality and consistency of their work Lead execution on the most complex,
Staff GenAI Engineer - AMS Design and Optimization — San Jose, CA. Apply via Workday.
Amplitude is the leading AI analytics platform, helping over 4,700 customers—including Atlassian, Burger King, NBCUniversal, and Square—build better products and digital experiences. With powerful AI Agents embedded across our platform, teams can analyze, test, and optimize user experiences faster than ever. Ranked #1 across multiple categories in G2’s Winter 2026 Report, Amplitude is the best-in-class solution for product, data, and marketing teams. Learn more at amplitude.com . As an organization, we deliver for our customers by living our values. We operate from a place of humility, take ownership of problems and successes, approach challenges with a growth mindset, and put our customers at the center of everything we do. Amplitude’s Commitment to Diversity Equity & Inclusion (DEI): Amplitude believes that diversity enables the creation of better products, improves the ability to solve complex problems, and drives more powerful solutions. We strive to create an environment of inclusion—one focused on psychological safety, empathy, and human connection—that will allow employees of all backgrounds to thrive. Join the engineering team that builds the AI-native apps, agents, and tools the rest of Amplitude runs on. We are full stack, automation, integration, and data engineers delivering internal apps, data products, automations, and integrations to Finance, People Ops, Product Ops, Legal, HR, and more. We embed in each team, become experts in their business problems, partner on the solution, and accelerate time-to-value. This is an AI-first, full-stack software engineering role spanning the complete scope of our team’s work. Your engineering experience and fluency with frontier AI technologies will drive continuous improvements in both the systems we build the way we build them. The sum total of this work will produce meaningful business impact on the way all of Amplitude’s critical business functions operate. As a Senior Software Engineer, you will: Desi
$198K – $299K/yr
Amplitude is the leading AI analytics platform, helping over 4,700 customers—including Atlassian, Burger King, NBCUniversal, and Square—build better products and digital experiences. With powerful AI Agents embedded across our platform, teams can analyze, test, and optimize user experiences faster than ever. Ranked #1 across multiple categories in G2’s Winter 2026 Report, Amplitude is the best-in-class solution for product, data, and marketing teams. Learn more at amplitude.com . As an organization, we deliver for our customers by living our values. We operate from a place of humility, take ownership of problems and successes, approach challenges with a growth mindset, and put our customers at the center of everything we do. Amplitude’s Commitment to Diversity Equity & Inclusion (DEI): Amplitude believes that diversity enables the creation of better products, improves the ability to solve complex problems, and drives more powerful solutions. We strive to create an environment of inclusion—one focused on psychological safety, empathy, and human connection—that will allow employees of all backgrounds to thrive. The Developer Experience (DX) team at Amplitude builds and maintains the foundations that power how developers integrate, extend, and trust Amplitude across platforms. Our mission is to make Amplitude’s SDKs reliable, easy to adopt, and a joy to build on, so customers can confidently instrument their products and unlock insights at scale. We’re looking for a Staff Software Engineer, iOS to play a key technical leadership role on our DevEx team. In this role, you will lead the design and development of Amplitude’s core iOS SDKs, including Analytics and Session Replay , and serve as the iOS platform expert that other SDK teams, such as Statsig, Guides, and Surveys rely on. As a Staff Engineer, you’ll operate with a wide scope and high impact: setting technical direction for the iOS platform, driving cross-SDK architecture, improving performance and reliabilit
Amplitude is the leading AI analytics platform, helping over 4,700 customers—including Atlassian, Burger King, NBCUniversal, and Square—build better products and digital experiences. With powerful AI Agents embedded across our platform, teams can analyze, test, and optimize user experiences faster than ever. Ranked #1 across multiple categories in G2’s Winter 2026 Report, Amplitude is the best-in-class solution for product, data, and marketing teams. Learn more at amplitude.com . As an organization, we deliver for our customers by living our values. We operate from a place of humility, take ownership of problems and successes, approach challenges with a growth mindset, and put our customers at the center of everything we do. Amplitude’s Commitment to Diversity Equity & Inclusion (DEI): Amplitude believes that diversity enables the creation of better products, improves the ability to solve complex problems, and drives more powerful solutions. We strive to create an environment of inclusion—one focused on psychological safety, empathy, and human connection—that will allow employees of all backgrounds to thrive. About the Role & Team Every AI insight, every experiment, every cohort at Amplitude starts with a query. Our in-house OLAP engine, Nova , processes trillions of events in real time — turning raw behavioral data into fast, trustworthy answers that power decisions for thousands of product teams worldwide. We’re entering a world where AI agents don’t just assist product teams — they ship features, run experiments, and make prioritization calls autonomously. What makes that possible is agents’ ability to verify their work against real product data continuously. That makes Nova the critical infrastructure in the loop, and as non-stop agents become the main source of queries, the demand on Nova’s throughput, correctness, and operational rigor grows dramatically. We’re looking for a Staff Software Engineer who wants to go deep on both the engine internals and
Other cities to consider
More places hiring for this role
Get new staff ai security engineer jobs in Canada by email
Daily job updates · Unsubscribe anytime