Director Of Engineering Identity Platform 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. The Engineering Opportunity Reporting to the Director of Quality & Performance, this role as Engineering Manager of Performance & Resilience will drive performance and resiliency improvements for the Auth0 product at Okta. Here you'll be working with some of the most advanced technology in the space, helping to streamline and secure billions of access requests a year. In this role, you will work closely with architects, platform team members, and product engineers to build the testing infrastructure that keeps Auth0 performant at scale — including the frameworks, tooling, and realistic datasets that make that testing meaningful. The ideal candidate is passionate about software quality and architecture, a self-starter, intellectually curious, and brings deep experience with performance testing, load testing frameworks, dataset generation, performance analysis, monitoring tooling, and chaos engineering. What you’ll be doing Collaborate with architects, tech lead, product owners, security and operations engineers to implement best practices related to performance and resiliency Communicate and organize cross-team projects with high business

About Us Twitch is the world’s biggest live streaming service, with global communities built around gaming, entertainment, music, sports, cooking, and more. It is where thousands of communities come together for whatever, every day. We’re about community, inside and out. You’ll find coworkers who are eager to team up, collaborate, and smash (or elegantly solve) problems together. We’re on a quest to empower live communities, so if this sounds good to you, see what we’re up to on LinkedIn and X , and discover the projects we’re solving on our Blog . Be sure to explore our Interviewing Guide to learn how to ace our interview process. About the Role Twitch Security Platform builds and operates the technology at the intersection of security, privacy, software engineering, and data engineering. As a Senior Engineering Manager, Security Platform, you will guide a diverse group of software engineers to build critical tools and automation solutions used across Twitch. You will report to the Director of Security, Identity, and Privacy Platforms. You will manage engineers responsible for operating our security data platform handling billions of weekly events, a multi-petabyte data lake, and numerous analysis tools that provide critical data across the organization to support important security programs. You will also lead engineers responsible for writing software to accomplish security at scale through automation, libraries, and services. With this team, you will lead the full software development lifecycle from product discovery, roadmap prioritization, and execution. Programs you support will include Fraud, Service-to-Service Auth, Detection and Incident Response, Vulnerability Management, Engineering Intelligence, and Privacy. You are experienced in software and data engineering, you bring awareness of the industry's cutting edge, and you're passionate about security. If this sounds accurate, come join us! You can work from San Francisc

Why join us Brex is the intelligent finance platform that enables companies to spend smarter and move faster in more than 200 markets. By combining global corporate cards and banking with intuitive spend management, bill pay, and travel software, Brex enables founders and finance teams to accelerate operations, gain real-time visibility, and control spend effortlessly. Brex’s AI-native automation and world-class service eliminate manual expense and accounting tasks for customers so they can focus on what matters most. Tens of thousands of the world's best companies run on Brex, including DoorDash, Coinbase, Robinhood, Zoom, Plaid, Reddit, and SeatGeek. Working at Brex allows you to push your limits, challenge the status quo, and collaborate with some of the brightest minds in the industry. We’re committed to building a diverse team and inclusive culture and believe your potential should only be limited by how big you can dream. We make this a reality by empowering you with the tools, resources, and support you need to grow your career. Product at Brex The Product team is at the forefront of Brex's mission to empower employees anywhere to make better financial decisions. With a deep understanding of the business, we identify and scope out the most impactful opportunities for Brex to tackle. We are responsible for aligning cross-functional teams — such as Engineering, Legal, Compliance, and Design — on key decisions. We set strategy and drive products from inception to launch, enabling Brex to grow rapidly and help our customers reach their full potential. What you’ll do As a Product Leader at Brex, you will be the driving force behind our Growth Product team — overseeing the thoughtful strategy and execution of team and technical systems to drive customer acquisition and onboarding. You will also collaborate closely with our Go-to-Market (GTM) teams to ensure seamless acquisition and onboarding for customers, particularly those with significant and complex spending n

About the Team DoorDash Ads will become the most transparent and effective advertising channel for merchants, brands, and ad buyers/agencies of all sizes to market their offerings to engaged local audiences. We build a variety of products that are easy to use and confidently generate incremental value for advertisers, while also helping consumers discover and engage with brands they love and save money. As the analytics team our goal is to advance product development, understanding of the business, and identify opportunities for the team to drive towards our north stars. About the Role As the leader of a large, high-performing team of data scientists, you’ll own the analytics strategy for DoorDash Ads for Restaurants—one of the company’s fastest-growing and most dynamic businesses. You’ll guide a team spanning multiple levels of seniority to drive insights and decisions across a multi-sided marketplace, optimizing across consumer and merchant outcomes . In your first few months, you’ll establish clear priorities, align cross-functional partners in product, engineering, sales, and strategy, and set the analytical vision for sustainable growth. Success in this role means delivering measurable business impact, elevating the quality of analytics across the organization, and building systems that balance advertiser ROI, consumer experience, and platform health. You will report into the Senior Director of Analytics on our Ads team in our Ads & Promos organization. You’re excited about this opportunity because you will… Lead and develop a high-performing analytics team, providing mentorship, feedback, and clear career development pathways. Define and drive the analytical and product roadmap by setting measurable goals and aligning cross-functional teams around success metrics. Partner closely with product, engineering, and go-to-market teams to uncover insights, optimize funnels, and inform high-impact decisions. Apply advanced analytical methods—such as co

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. We are seeking an experienced Staff Software Engineer to join Okta's Universal Directory Platform team within the Product Platform Pillar. The team serves as the intelligent core of the enterprise security fabric, maintaining the source of truth for all identity assets and their associated relationships. Opportunity This position will be involved into development, design, and maintenance of our highly performant, reliable, and scalable platform, which is critical for managing user lifecycles, groups, and memberships. The successful candidate will possess experience in building and deploying scalable, reliable software and infrastructure within a cloud environment. What you’ll be doing Understand our identity management group codebase and development process: Jira, Technical Designs, Code Review, Testing, and Deployment. Develop and implement frameworks and toolings for our Universal Directory Service platform. Design and implement high-performance distributed scalable and fault-tolerant software components. Quickly deliver high-quality bug fixes and handle customer-reported issues. Conduct quality code reviews and automated testings. Partner with our Product Development, QA, and Site Reliability Engineering teams for scoping the development and deployment work. What you’ll bring to the role The ideal candidate is someone who is experienced building software systems to manage and deploy reliable and performant infrastructure and prod

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’re looking for a proactive, collaborative Manager of Internal Audit to help execute our internal audit program and support Lyft’s governance, risk management, and compliance efforts. This role will focus on both business and technology audits, helping identify and address key risks while delivering insights that enable informed decision-making. Reporting to the Director of Internal Audit, and based in our San Francisco HQ, you’ll work closely with stakeholders across the company to strengthen controls, improve processes, and drive continuous improvement. Responsibilities: Audit Execution & Risk-Based Planning Execute audit and advisory engagements spanning across both technology (e.g. cybersecurity, data governance, infrastructure, etc.) and business (e.g. operations, compliance, etc.) domains from end to end — including planning, fieldwork, testing, and reporting. Perform annual risk assessment over assigned risks to develop and refine the annual risk-based audit plan. Take a hands-on approach to audits, ensuring findings are data-driven, relevant, and aligned with business objectives. Use process improvement techniques (e.g. process mapping, root cause analysis, gap assessments) to identify opportunities for enhanced control design and operational efficiency. Perform risk assessments and identify areas for process improvement, control enhancement, or technology enablement. Ensure timely and effective follow-up on remediation of audit findings, coordinating with business owners to verify resolution. Collaborate with cross-functional teams — including Engineering, Security, Legal, Finance, and Compliance — to assess risks and test key controls. Stay current on evolving risks related to emerging technologies, regulatory changes, and internal initiatives. Enterprise Risk Management (ERM) Support

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’re looking for a proactive, collaborative Manager of Internal Audit to help execute our internal audit program and support Lyft’s governance, risk management, and compliance efforts. This role will focus on both business and technology audits, helping identify and address key risks while delivering insights that enable informed decision-making. Reporting to the Director of Internal Audit, and based in our San Francisco HQ, you’ll work closely with stakeholders across the company to strengthen controls, improve processes, and drive continuous improvement. Responsibilities: Audit Execution & Risk-Based Planning Execute audit and advisory engagements spanning across both technology (e.g. cybersecurity, data governance, infrastructure, etc.) and business (e.g. operations, compliance, etc.) domains from end to end — including planning, fieldwork, testing, and reporting. Perform annual risk assessment over assigned risks to develop and refine the annual risk-based audit plan. Take a hands-on approach to audits, ensuring findings are data-driven, relevant, and aligned with business objectives. Use process improvement techniques (e.g. process mapping, root cause analysis, gap assessments) to identify opportunities for enhanced control design and operational efficiency. Perform risk assessments and identify areas for process improvement, control enhancement, or technology enablement. Ensure timely and effective follow-up on remediation of audit findings, coordinating with business owners to verify resolution. Collaborate with cross-functional teams — including Engineering, Security, Legal, Finance, and Compliance — to assess risks and test key controls. Stay current on evolving risks related to emerging technologies, regulatory changes, and internal initiatives. Enterprise Risk Management (ERM) Support

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. Join the Okta Device Access (ODA) team as an outcome-driven and customer-focused Senior Product Manager. Okta Device Access unifies access management from any device to all applications to minimize modern security risks and improve business efficiency. As a Senior Product Manager for Okta Device Access, you will own key product areas and contribute to the continued evolution of ODA to meet customer and business needs. You will work closely with senior product leaders, engineering, and design to define how enterprise organizations secure and manage identity on Windows endpoints - from Okta-joined device enrollment to passwordless authentication and migration from legacy AD environments.. If you’re passionate about improving customer security and engaging with a vibrant community, we’re looking for you. Your primary responsibilities in these areas will include: Define and execute the roadmap for the Okta Device Access for Windows Own the enterprise migration story from Active Directory and Azure AD/Entra ID to Okta-managed device identities Drive the Okta-joined device experience end-to-end: from enrollment and provisioning to passwordless flows and partner integrations. Collaborate with engineering, design and research teams to define and document user stories and use-cases to guide product development. Conduct research and analysis to identify customer needs and pain points, and use this information to inform innovation, product decisions and prioriti

Director of Engineering, Physical AI Role Overview The Director of Engineering will report to the General Manager of Physical AI, and will be responsible for leading a multi-disciplinary engineering organization. In this senior leadership role, you will own the execution of the Physical AI Data Engine — the platform powering the next generation of Physical AI/Embodied AI. You will collaborate closely with Operations and GTM to guide product direction and help solve the data bottleneck that stands between today's robotics research and real-world deployment. This role requires significant ownership in a fast-paced environment and you will motivate internal teams to set the pace for business growth. Travel will come into play. Key Responsibilities: Set and drive the technical vision across data collection infrastructure, teleoperation systems, ML training pipelines, model evaluation frameworks, annotation tooling, and research Lead a multidisciplinary engineering organization—spanning engineering managers, software engineers, ML engineers, and ML research scientists—while designing the organizational structure, talent strategy, and culture required to scale rapidly without compromising on quality or strategic alignment Maintain exceptional technical and operational excellence by deeply understanding team deliverables, asking incisive questions, identifying slipping standards early, and knowing precisely when to step in Drive cross-functional alignment across Engineering, Operations, and GTM on platform architecture, release processes, and shared priorities Collaborate with researchers and clients to architect and deliver scalable, production-grade data infrastructure tailored for complex robotics workloads Required Qualifications: Bachelor's degree in Engineering, Robotics, Computer Science, or a related technical field 8+ years of engineering experience in fast-paced environments, including 4+ years direct people management demonstrated history of recruiting, mentorin

Overview We are seeking a hands-on Director of AI Software Engineering to lead and scale AI engineering efforts supporting multiple business units across Governance, Risk, and Compliance (GRC). This role sits at the intersection of product delivery, platform evolution, and applied AI—driving real-world impact across core workflows. This is not a pure management role. We are looking for a builder who leads from the front, someone who has recently written production code, shipped systems end-to-end, and can operate comfortably in ambiguity while aligning teams and stakeholders. What You’ll Do Lead AI Engineering Across GRC Own delivery of AI-powered capabilities embedded directly into business unit workflows (e.g., risk analysis, compliance automation, reporting, due diligence) Partner with product, data, and platform teams to translate business problems into scalable AI systems Stay Hands-On Contribute to architecture, code reviews, and critical path implementation Prototype and validate new approaches (LLMs, agents, retrieval systems, classification pipelines, etc.) Set engineering standards for performance, reliability, and cost efficiency Build and Scale Teams Lead and mentor a high-performing team of AI/ML and software engineers Drive hiring, coaching, and career development Establish a culture of ownership, speed, and technical excellence Drive Execution Deliver production-grade systems—not experiments Balance speed with rigor (security, privacy, compliance) Operate across multiple concurrent initiatives with clear prioritization Communicate and Influence Act as a bridge between engineering and business stakeholders Clearly articulate trade-offs, risks, and outcomes to senior leadership Align cross-functional teams around shared goals and timelines What We’re Looking For Proven Builder 10+ years in software engineering, with recent hands-on coding experience Demonstrated track record of shipping production systems at scale Experience with modern

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

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 VP / Director of Machine Learning Engineering to lead and build a high-performing team while staying close to the technical work. This is a hands-on leadership role: you will set the strategic direction for our recommendation, personalization, and ads optimization systems, including recommendation foundation modeling, and you will stay in the algorithms and the code, conducting deep dives into modeling components and guiding the hardest technical decisions yourself. You will tackle complex machine learning problems at scale and partner closely with cross-functional teams to ship solutions that measurably improve how hundreds of millions of viewers experience Tubi. What You’ll Do Lead, build, and grow a high-performing ML engineering team, fostering a culture of technical excellence, ownership, and rapid iteration. Define and drive the ML strategy and long-term technical roadmap for recommendation, personalization, and ads optimization, including recommendation foundation modeling, identifying opportunities for ML to shape Tubi’s broader product and business strategy. Stay hands-on: conduct deep dives into algorithmic components and systems, ensuring models are optimized for both performance and scalability across regions and product areas. Lead the design, development, and implementation of advanced recommendation systems and algorithms, contributing directly to the most challenging technical problems. Build and deploy robust, full-stack ML pipelines: data extraction, feature development, model training, testing, deployment, and serving. Continuously monitor, evaluate, and optimize the performance of deployed models, ensuring

Scale GP (Scale Generative AI Platform) is an enterprise-grade Generative AI platform that provides APIs for knowledge retrieval, inference, evaluation, and more. We are looking for a strong engineer to join our team and help us build and scale our product in a fast-paced environment. The ideal candidate will have a strong understanding of software engineering principles and practices, as well as experience with large-scale distributed systems. You will be responsible for owning large new areas within our product, working across backend, frontend, and interacting with LLMs and ML models. You will solve hard engineering problems in scalability and reliability. You will: Own large new areas within our product Work across backend, frontend, and interacting with LLMs and ML models Deliver experiments at a high velocity and level of quality to engage our customers Work across the entire product lifecycle from conceptualization through production Be able, and willing, to multi-task and learn new technologies quickly Ideally you'd have: 7+ years of full-time engineering experience, post-graduation Experience scaling products at hyper growth startups Experience tinkering with or productizing LLMs, vector databases, and the other latest AI technologies Proficient in Python or Javascript/Typescript, and SQL Experience with Kubernetes Experience with major cloud providers (AWS, Azure, GCP) Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval

Role Summary Scale builds AI applications for organizations where reliability, security, and measurable results matter. Our core platform, SGP, gives teams the capabilities to build, deploy, evaluate, and operate those applications in customer environments. We're looking for a product leader to own the strategy and roadmap for SGP's core platform and lead the PM team responsible for it. You will work with customers, platform engineering, and forward deployed teams to build capabilities customers need, productize work developed in the field when it has broader value, and improve how teams build, deploy, and operate AI applications. This is a hands-on leadership role. You will connect work across teams into a coherent product, make difficult scope and investment decisions, and stay close enough to the details to know whether what we ship works for the people using it. What you'll do Own the platform strategy and roadmap. Prioritize across developer experience, capabilities customers need, and productizing work built in the field where it has broader value. Sequence investments against customer value, commitments, and dependencies. Define how the product should work. Work with users and engineers to write clear requirements and vibe code prototypes, user journeys, and measure success through customer outcomes, capability adoption, delivery time, and production performance, and follow through on gaps after launch. Align teams across the business. Work with platform engineering, forward deployed PMs, and business leaders to agree on shared capabilities, rollout priorities, and necessary differences across environments. Make clear what is available, where it works, and what remains to be delivered. Build and lead a strong PM team. Establish clear ownership across related product areas, hire and coach PMs, and raise the quality of product thinking and written requirements. Stay directly involved in the most consequential decisions. What we're looking for A track record of

About the role AI and coding agents have made building enterprise apps nearly effortless and exposed a massive gap in the infrastructure to run them. Sigma is emerging as the AI Runtime Environment that makes enterprise AI actually work, and this role will tell that story to the market, why it matters, and help define and create this new category. As Director of Product Marketing for AI, you will own the positioning and go-to-market strategy for Sigma's overall AI narrative and its specific capabilities, including: natural language exploration, agentic workflows, and AI-powered application building (both internal and using external coding agents). This is a high-visibility, high-impact role that sits at the intersection of product, sales, and the market. You'll translate a rapidly evolving AI roadmap into sharp, differentiated messaging that resonates with data teams, business leaders, and the enterprise IT buyers who evaluate and approve AI investments. You will be a key voice in helping Sigma win the category. What you'll do Define and own Sigma's AI product positioning and messaging from core value propositions to competitive differentiation and persona-specific narratives. Partner with Product and Engineering to understand and influence Sigma's AI capabilities and roadmap. Lead product launches for AI features and capabilities, coordinating across marketing, sales, customer success, and partnerships. Partner with sales leadership and frontline reps to understand AI deal dynamics, competitive objections, and messaging gaps and incorporate learnings into improved positioning, content, and enablement. Partner with the Enablement team, build and maintain sales enablement materials pitch decks, battlecards, demos, objection-handling guides that help the field win competitive AI deals. Develop thought leadership content and market education programs that shape how the industry thinks about building with AI on enterprise data. Conduct ongoing