Performance Fitter in Canada

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. About the team The Billing team sits at the intersection of product, finance, and infrastructure. They're responsible for ensuring every observable event—errors, logs, traces, tokens—gets accurately measured, priced, and billed. Their work directly impacts company revenue and customer trust, requiring distributed systems expertise, attention to financial accuracy, and deep understanding of product usage patterns. The team works cross-functionally with product, engineering, BizOps, marketing, and sales to build systems that enable new products and pricing models. About the role As a Senior Software Engineer, you will architect and scale the core systems that power Sentry's billing infrastructure, ensuring accuracy and reliability at massive scale. You will collaborate on building the next generation of Sentry’s usage tracking pipeline, processing hundreds of billions of events daily with low latency and financial-grade accuracy. You will help design flexible pricing primitives that support everything from per-event usage billing to complex enterprise contracts, enabling product and sales teams to experiment rapidly while maintaining revenue accuracy and reduced time-to-market for new products. You will contribute to technical decisions on data consistency challenges unique to billing—like handling event delays, retroactive pricing changes, and distributed count reconciliation across our infrastructure. You'll love this job if you Want to solve the "easy to explain, hard to build" problems—like ensuring a customer's bill matches their usage perfectly, even when processing hundreds of billions of events daily across distributed

About Snorkel At Snorkel, we believe meaningful AI doesn’t start with the model, it starts with the data. We’re on a mission to help enterprises transform expert knowledge into specialized AI at scale. The AI landscape has gone through incredible changes since 2015, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems. We work with some of the world’s largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler! In September 2026 we raised a $350 million Series E at a $3.5 billion valuation , and we are scaling our engineering and research teams to meet demand. The role Frontier AI data is expensive to make and hard to measure. Every task we deliver is tested against the strongest models, often through many long-running agent rollouts. Your job is to make that process faster, cheaper, and more rigorous with ML and AI You will be one of the early members of ML & Research Engineering at Snorkel. You will study how frontier-grade data is generated and evaluated, form hypotheses, validate them against real production data, and ship the winners at scale. You will shape the discipline's direction, its standards, and the team that grows around it. What you'll work on Efficient agentic evals. Cut the cost of long-horizon agent evaluation with adaptive sampling, statistically grounded early stopping, model cascades, caching, and cheap-first gating. AI model routing. Route every eval and judge call to the cheapest model that clears the quality bar, with fallback, monitoring, and cost attribution. Fine-tuned small models. Fine-tune and serve open-weight models (LoRA and other

About Snorkel At Snorkel, we believe meaningful AI doesn’t start with the model, it starts with the data. We’re on a mission to help enterprises transform expert knowledge into specialized AI at scale. The AI landscape has gone through incredible changes since 2015, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems. We work with some of the world’s largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler! We’re looking for a Research Scientist to advance how high-quality data and environments for AI agents are created. You’ll build and optimize pipelines that combine real-world data, automated generation, and human expert input. Working with domain experts, academic partners, customers, and our product and engineering teams, you’ll scale these pipelines to target frontier model performance gaps and expand data and environment diversity. Your work will amplify human knowledge and judgement, enabling experts to create and refine data and agentic environments that strengthens Snorkel’s position as the frontier data lab. This role is ideal for someone who wants to advance frontier AI through data and environment creation and enjoys turning research into reusable, scalable systems. Location: San Francisco, New York, OR REMOTE Main Responsibilities Design, implement, and optimize reusable pipelines that combine AI capabilities with expert judgment to accelerate data and agentic environment creation. Design and run rigorous experiments to validate proof-of-concept approaches, measure their impact on data quality, pipeline efficiency, and model performance, and communic

The Asana Marketing team fuels business growth across revenue marketing, product marketing, brand, content, advertising, and lifecycle programs. We build campaigns, content, and experiences that drive impact at scale. As our Senior Copywriter, you will be the definitive creative voice across Asana's Brand Creative team—shaping how the brand speaks across every channel, medium, and moment that matters. This is a leaderful role as much as a writing role: you will define and steward our brand voice, set the standard for copy quality across the creative team, and bring language to life across campaigns, performance ads, sizzle reels, demo video scripts, and more. You will work at the intersection of strategy and craft—partnering closely with art directors, designers, producers, and cross-functional stakeholders—to translate briefs into work that is sharp, original, and unmistakably Asana. You will also be a teacher and force multiplier: codifying our voice in frameworks and guidelines others can apply, mentoring colleagues, and raising the bar for written communication across the Marketing organization. You bring deep conviction and active curiosity to your work, including a genuine interest in how AI can augment the craft of writing. You know how to use these tools intelligently without sacrificing creative ownership, and you build workflows that help the team move faster without compromising quality or your own originality. This role is based in our Vancouver, BC office with an office-centric hybrid schedule. Along with most Asanas, you’ll work from this office in person on Mondays, Tuesdays, and Thursdays. Most Asanas have the option to work from home on Wednesdays and Fridays. If you're interviewing for this role, your Talent Acquisition Partner will share more about the in-office requirements. What you'll achieve Define, steward, and evolve Asana's brand voice: building the guidelines, frameworks, and reference materials that make great writing scalable acros

Technical Support Manager About the role: We are looking for a technically skilled, self-motivated, customer-focused manager to lead a team of high energy Support Engineers. In this role you will be responsible for hiring, developing and mentoring team members as well as delivering against key performance metrics. You'll lead process improvements for customer and partner growth, retention, and excellence, while fostering individual contributions and driving cross-functional projects that spark innovation and collaboration. You need to be comfortable working in a fast paced environment and continuously challenge the team to step outside their comfort zone. Minimum Education Requirement This position requires a U.S. Bachelor's degree (or foreign equivalent) in Computer Science, Software Engineering, Information Systems, Data Science, or a closely related technical field. This requirement is a minimum and cannot be substituted by work experience alone. What You Will Be Doing Become a product expert and stay technically close to complex and critical customer escalations. Lead a team of exceptional product experts providing the Sigma user base with an excellent customer experience. Hire, develop and train a strong team of Support Engineers on an ongoing basis. Own strategic areas of the Support organization end to end, from strategy through measurable outcomes. Partner across Engineering, Product, Customer Success, Sales, and Marketing to solve customer challenges and drive cross-functional outcomes. Drive performance against key Support metrics, including CSAT, Initial Response, SLA, and Time to Resolution. Continuously refine processes to optimize efficiency, elevating customer support operations. Uncover golden insights within Support data, translating them into actionable strategies that improve customer experience, operational efficiency, and business outcomes. Develop a reputation for excellence, high credibility and integrity with

About the Team The Finance & Strategy team accelerates the growth of our business by identifying and implementing new opportunities and solutions. We partner with teams across the company to improve the profitability, scalability and defensibility of our business model. We're looking for people who can use strategy to identify areas of opportunity, and collaborate to help carry projects from conception through execution. About the Role We are looking for a Finance Manager who will work with partners across DoorDash to ensure we are making the most efficient investment and capital allocation decisions while improving the experience for our merchants and other marketplace participants. You will help lead financial reporting, forecasting, and planning, and will guide financial insights and direction for all of our operational decisions and strategies. You’re excited about this opportunity because you will… Conduct weekly reporting of financial performance of DoorDash’s Merchant business, forecast key financial metrics based on quantitative analysis of historical data.Support quarterly financial planning, collaborate with cross functional business partners to identify growth areas and business priorities.Deep-dive into complex operational questions and collaborate cross-functionally outside Finance (Sales, Operations, Support) as well as within Finance (Accounting, Analytics, BI) to uncover the most optimal data-driven business decisions and investments.Identify key opportunities & risks to the business, quantify and evaluate the impacts, propose a solution and investment case, and ensure efficient execution. Leverage and apply knowledge of SQL, finance, analytics, and technology to manage financial reporting, forecasting, and quantitative analysis to assist DoorDash in making better business decisions. We’re excited about you because… 6+ years of experience overall, preferably from Strategic Finance, Corporate Finance, Investment Banking, or Consulti

About the Team DoorDash Labs is an independent team within DoorDash. We explore robotics and automation to transform last mile logistics in the long term. If you have a passion for applying robotics solutions in a service used by millions of people, then we want to talk to you! About the Role We are hiring an Autonomy Platform Engineer to build and evolve the foundational software that runs our autonomy stack across robot and compute platforms. The Autonomy Platform team works across embedded Linux, compute and sensor enablement, robotics middleware, process orchestration, data capture and replay, system observability, and performance. You will develop production software and tooling that enables autonomy engineers to bring up new hardware, deploy services reliably, diagnose failures, and validate system performance across robot generations. You will work closely with autonomy, firmware, electrical, hardware, manufacturing, and validation engineers and report to the Autonomy Platform Lead. We expect this role to be hybrid with some time in-office and some time remote. You’re excited about this opportunity because you will… Build and maintain core runtime, middleware, and platform services used by autonomy applications. Enable new compute, camera, lidar, and other sensor platforms. Improve process orchestration, messaging, configuration, startup and shutdown behavior, resource isolation, and fault recovery. Develop system observability, tracing, performance measurement, diagnostics, and regression-detection capabilities. Build reliable data capture, replay, and debugging workflows. Create provisioning, packaging, deployment, integration-test, and platform-readiness tooling. Lead complex debugging across application, middleware, OS, driver, networking, timing, and hardware boundaries. We’re excited about you because… Strong production C++ and Python experience. Experience with embedded Linux, robotics, autonomous vehicles, or complex mechatronic systems. Solid u

About the Role: The Growth team is responsible for building and optimizing the UI/UX across all Web and OTT applications at Tubi. The team primarily focuses on implementing features related to full funnel user acquisition and growth, including SEO user registration, onboarding, and account management. As a Staff Engineer (L5) on this team, you act as the technical leader for one or more Growth areas. You own the technical architecture and direction, solve ambiguous problems that few others can, and influence cross-functional teams across multiple pods. You will work closely with Product and Design to develop cutting-edge, experiment-driven features, while driving the front-end architecture that ensures performance and scalability for millions of users. You will be working with React, Node.js, GitHub Actions, Terraform, and CDN infrastructure to build and deploy high-performance applications that reach millions of users. This is a hybrid role based out of our Toronto office. You must be willing to travel to our Toronto office two days/week. What You'll Do: Own the technical roadmap and architecture for a Growth area with large amounts of ambiguity: driving direction across web, mobile web, and smart TV platforms, and influencing the team to invest in new projects. Solve challenging, ambiguous problems with a focus on scalability and performance; proactively identify systemic issues and propose innovative solutions. Lead and drive innovation in building experiment-driven features; independently design, implement, and interpret a series of A/B experiments that move growth metrics. Lead and coordinate major rollouts and releases: including cross-team coordination, migrations, and phased releases of major initiatives across Web and OTT apps. Establish team-wide quality and engineering standards; set the bar for code quality and front-end best practices. Identify and implement improvements in shared UI components, platform-specific optimizations, and overall fr

About the Role: The team is responsible for building and optimizing the UI/UX across all Web and OTT applications at Tubi. The team primarily focuses on implementing features related to user acquisition and growth, including but not limited to user registration, onboarding, SEO, and account management. As part of this team, you will work closely with Product and Design to develop cutting-edge, experiment-driven features that enhance the user experience. In addition to front-end development, you’ll be responsible for building the underlying technical architecture to ensure performance and scalability, while proactively exploring engineering-driven features and experiments that can drive user growth. You will be working with React, Node.js, GitHub Actions, Terraform, and CDN infrastructure to build and deploy high-performance applications that reach millions of users. This is a hybrid role based out of our Toronto office. You must be willing to travel to our Toronto office two days/week. What You'll Do: Work with product management and other stakeholders (Backend, Product, and UI/UX) to iterate on new growth-related features, including registration, onboarding, and SEO. Lead the technical architecture and implementation of scalable and resilient applications that run on multiple platforms, such as web, mobile web, and smart TV devices. Lead and drive innovation in building experiment-driven features that push the boundaries of user experience in streaming. Consistently ship features and improvements across Web and OTT apps with minimal guidance, collaborating with cross-functional teams to deliver high-impact updates. Identify and implement improvements in shared UI components, platform-specific optimizations, and overall front-end infrastructure. Take ownership of the codebase and proactively identify opportunities for refactoring and development process improvement. Mentor and collaborate with fellow engineers, sharing technical expertise and contributi

About the Role: Site Reliability Engineering (SRE) at Tubi is not a traditional operations team. We are a software engineering organization that applies a developer's mindset and toolkit to the challenges of building and running large-scale, distributed systems. Our mission is to engineer resilience from the ground up, enabling our product teams to innovate rapidly while ensuring our users have a stellar experience. We own the availability, latency, performance, and capacity of our platform, and we achieve our goals through a culture of data-driven decision-making, blameless learning, and relentless automation. As a Senior Site Reliability Engineer, you are a hands-on engineer who blends deep software development expertise with a passion for operational excellence. You will be responsible for designing, building, and running the resilient, scalable, and increasingly self-healing systems that power our products. You will apply sound engineering principles to solve our most complex reliability challenges, with a mandate to automate everything, eliminate toil, and write robust, maintainable code. You will be a force multiplier, mentoring other engineers and elevating the site reliability bar for the entire organization. This is a hybrid role based out of our Toronto office. You must be willing to travel to our Toronto office two days/week. What You'll Do: System Architecture & Design: Design, build, and maintain scalable, highly available, and fault-tolerant distributed systems. Partner with development teams as a reliability consultant, reviewing designs and influencing architectural decisions to ensure new services are built with reliability, observability, and performance as core principles, not afterthoughts. Automation & Software Development: Write robust, performant, and maintainable code to automate operational tasks, and CI/CD pipelines. Build the internal tools, libraries, and frameworks that enable engineering teams to self-service their

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 Director of Machine Learning Engineering and Infrastructure to lead a hybrid team bridging advanced ML engineering with world-class infrastructure design. In this role, you will own the strategic direction and execution for scaling our machine learning capabilities while ensuring our distributed systems and infrastructure can support innovation at massive scale. You will combine technical depth with leadership excellence to guide teams that deliver both foundational ML systems and high-performance distributed services. This is a hybrid role for our Toronto office. What You'll Do: Lead and manage high-performing teams across ML engineering and ML infrastructure, fostering a culture of innovation, collaboration, and growth. Define and execute the strategic roadmap for ML systems, including recommendation, personalization, and ads optimization. Oversee the design, development, and deployment of scalable ML pipelines: data ingestion, feature engineering, model training, evaluation, and serving. Architect distributed systems to support ML workloads at scale, ensuring reliability, observability, and operational excellence. Partner closely with Product, Engineering, and Content teams to align on business goals and deliver impactful ML-driven experiences. Support best practices in experimentation, evaluation, and ML system monitoring. Ensure cost efficiency, scalability, and performance in ML infrastructure investments. Your Background: 10+ years of industry experience spanning machine learning engineering and distributed systems. 3+ years of leadership and management experience, with a proven ability to build and lead strong t

Are you a self-starter who loves tackling challenging problems in a team-oriented, fast-paced environment? Do you love the idea of living in Vancouver? Our quantitative equity team is expanding, and we are looking for talented individuals whose skills and interests are aligned with the team’s mission to deliver superior investment performance to our clients through a disciplined, systematic investment approach. Jobs within our team lie at the exciting intersection of research, data science, finance, and technology. A culture of innovation, career growth and success through collaboration has enabled us to deliver superior investment performance to our clients for over two decades. Today, our clients entrust us with over $78+ billion USD in financial assets. What You Will Do This is an exciting opportunity for individuals who are passionate about learning the quantitative equity investment management business and excited to tackle a broad range of investment, mathematical, and technology challenges. You will start with a comprehensive training program, learning about various elements of quantitative equity investment management. You will then continue to a specialized group within our team based on a combination of your fit and preference. Your specialized role may involve building, scaling, managing, monitoring, and/or trading our quantitative model and portfolios. You will be supported with coaching and mentorship from senior members of the team. We are creating the conditions for you to grow your career steadily over time. Groups within our team where you can contribute and gain valuable experience include: Investment Process Management Our Investment Process Management (IPM) group plays a central role in building highly scalable, efficient, and robust process management systems. The processes and infrastructure we maintain are critical in the team’s ability to d

We are a special software team embedded in a top performing quantitative equity fund that manages over $78+ billion USD in financial assets. This is a fantastic opportunity in the exciting intersection of finance and technology where investment decisions are made using technology. Quantitative equity funds use programmed investment strategies and as a result, our developers are crucial to its success. The team is headquartered and deeply rooted in West Coast Vancouver. We place high value on maintaining an entrepreneurial spirit and creating a culture where each of us has opportunities to succeed. What You Will Do Developers play an essential role through innovative technologies: machine learning, cloud computing, optimization engines, non-traditional high-performance databases, custom applications and data visualization. You own the entire software life cycle: Collaborate with portfolio managers, analysts and researchers to analyze interesting financial problems. Design, plan and implement solutions in an entrepreneurial spirit. Keep investment systems running smoothly through enhancements and support. What You Bring Programming Knowledge – you are working towards an undergraduate, graduate, or post-graduate degree in a computer-related field OR exceptional programming skills gained through your work experience. Deeply Analytical – you possess an analytical mind and enjoy mental challenges. An ability to perform deep thoughtful analysis is required for this role. Passion for Technology – we work with a range of technologies and programming languages, including Python, Kdb+/Q, R, Spark, AWS, and Databricks. Prior experience with these technologies is not required; what matters is a genuine enthusiasm for technology and an eagerness to learn new languages, tools, and concepts. Collaborative Communication – you have a collaborative spirit that helps you to work well with others and you communicate effectively. Interest in Investment Management&

We are a special software team embedded in a top performing quantitative equity fund that manages over $78+ billion USD in financial assets. This is a fantastic opportunity in the exciting intersection of finance and technology where investment decisions are made using technology. Quantitative equity funds use programmed investment strategies and as a result, our developers are crucial to its success. The team is headquartered and deeply rooted in West Coast Vancouver. We place high value on maintaining an entrepreneurial spirit and creating a culture where each of us has opportunities to succeed. What You Will Do Developers play an essential role through innovative technologies: machine learning, cloud computing, optimization engines, non-traditional high-performance databases, custom applications and data visualization. You own the entire software life cycle: Collaborate with portfolio managers, analysts and researchers to analyze interesting financial problems. Design, plan and implement solutions in an entrepreneurial spirit. Keep investment systems running smoothly through enhancements and support. What You Bring Programming Knowledge – you have an undergraduate, graduate, or post-graduate degree in a computer-related field OR exceptional programming skills gained through your work experience. Deeply Analytical – you possess an analytical mind and enjoy mental challenges. An ability to perform deep thoughtful analysis is required for this role. Passion for Technology – we work with several programming languages (Kdb+/Q, Python, R, Java, C#, Spark) and upfront knowledge is not required. If you are passionate about technology, learning new languages and concepts is natural and fun. Collaborative Communication – you have a collaborative spirit that helps you to work well with others and you communicate effectively. Interest in Investment Management – this is key. Your interest will help you learn about our complex domain. &nbsp

We deliver foundational systems that shape the future of how technology is used in a top performing quantitative equity fund that manages over $78+ billion USD in financial assets. This is a fantastic opportunity in the exciting intersection of finance and technology where investment decisions are made using technology. Quantitative equity funds use programmed investment strategies and as a result, our technology team is crucial to its success. The team is headquartered and deeply rooted in West Coast Vancouver. We place high value on maintaining an entrepreneurial spirit and creating a culture where each of us has opportunities to succeed. What You Will Do The technology infrastructure team plays an essential role through innovative technologies on our hybrid (on-premise and cloud based) platform: distributed computing, petabyte-scale data storage, containerization, non-traditional high-performance databases, process orchestration, monitoring, data visualization and DevOps. You own the entire technology infrastructure life cycle: Engineer and support software and systems infrastructure. Introduce new foundational technologies that advance our software engineering capabilities to the next level. Collaborate with our software development teams on support issues and improvements to our infrastructure tools, processes, and software. Act as a conduit between our application development teams, and IT, network security, and other stakeholders to align priorities and translate business requirements into technical designs. Improve systems infrastructure reliability. Gather and analyze metrics from operating systems and applications to assist in performance tuning, fault finding and business continuity planning. Design, plan and implement solutions in an entrepreneurial spirit. What You Bring Programming Knowledge – you have an undergraduate, graduate, or post-graduate degree in a computer-related field OR exceptional programming skills gain