Product Engineer 2 in Toronto

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. Position Description: You will proactively construct and own an AI-forward research roadmap for key product pillars at Okta, operating at the intersection of Identity, Security, and Artificial Intelligence. As a Staff-level individual contributor, you will drive both qualitative and quantitative methodologies to define user experiences for non-deterministic AI agents, automated workflows, and enterprise platforms. Additionally, you leverage agentic tools and AI workflows internally to scale qualitative coding, synthesis, and research operations across the organization. In this role, you’ll get to: Drive Product-shaping Research: Lead foundational and evaluative research to inform strategic and tactical product decisions. Execute Balanced Mixed-Methods: Drive qualitative depth (contextual inquiry, cognitive walkthroughs) and quantitative rigor (large-scale surveys, behavioral telemetry, statistical modeling) to evaluate AI products. Pioneer AI Research Operations: Integrate AI tools, prompt engineering, and agentic research workflows into your daily practice to accelerate quality research outputs. Lead Cross-Discipline Collaboration: Facilitate research to drive cross-discipline clarity, executive alignment, and decision-making across complex security and admin workflows. Solve Complex Problems: Bring stakeholders together across multiple teams to scope problems and collaborate on research in ways that nurture a culture of curiosity and learning. Cultivate E

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 role At Okta, we believe AI will fundamentally transform how design, research, and product development happen. We are looking for a Senior Design Operations Program Manager, Agentic Design to lead the operationalization and enablement of internal AI agents, plug-ins, and automated workflows across our Design team — reimaging how designers create in the AI era through internal AI agents. In this role, you will bridge the gap between AI tooling capabilities and practical design ops execution. You will partner closely with design, product management and design systems to govern, evaluate, deploy, and scale AI-driven design capabilities — making our 60+ person design org dramatically faster, more consistent, and highly innovative. This is a tactical, execution-focused builder role for an operations leader who is deeply curious about AI tools, understands modern UX workflows, and excels at change management, team enablement, and operationalizing new frameworks. What you'll do AI & Agentic Design Enablement Serve as the operational connective tissue driving AI adoption, evaluation, and workflow integration across Product Design, UX Research, and Content Design. Manage the intake, evaluation, and approval process for design plug-ins, Model Context Protocol (MCP) integrations, and generative AI tools (e.g., custom content design assistants, design-to-code agents). Partner with internal engineering teams to operationalize, ship, and drive adopt

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. Okta is The World’s Identity Company. We free everyone to safely use any technology— anywhere, on any device or app. Our Workforce and Customer Identity Clouds enable secure yet flexible access, authentication, and automation that transforms how people move through the digital world, putting Identity at the heart of business security and growth. At Okta, we celebrate a variety of perspectives and experiences. We are not looking for someone who checks every single box - we’re looking for lifelong learners and people who can make us better with their unique experiences. Join our team! We’re building a world where Identity belongs to you. Position Description: As a Senior Research Operations Program Manager at Okta, you will play a crucial role in building and enabling an impactful beta program. Via close collaboration across research, design, product, engineering teams, QA, and release teams, you will programmatically manage cross-functional teams’ research needs. You will proactively build and manage the operations for a beta program, collaborating with other cross functional functions to plan the necessary infrastructure for this programming to be successful, following compliance and governance best practices. In this role, you’ll get to: Lead research operations and panel management for beta programming Work collaboratively across multiple teams to empower Okta staff to carry out impactful research Help manage the general pipeline o

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. Here is the updated summary for the Okta Device Access (ODA) and Okta Verify (OV) space, adapted to match the collaborative, ownership-focused, and candidate-centric tone of your PAM example: In this role, you will work as a trusted cross-functional partner on our Okta Device Access (ODA) and Okta Verify (OV) products, and have the opportunity to influence product and design decisions through your work. You will own the UX roadmap for ODA and OV, working closely with your design, product, and engineering partners to ensure that your work is aligned to the highest priority needs of the endpoint identity area, informing both long and near-term decisions. You’ll provide mentorship and coaching to more junior team members, helping raise the quality bar and impact of the team. ODA and OV’s goal is to develop products that enable Okta customers to secure their workforce right from physical device bootup, providing frictionless, phishing-resistant, and passwordless authentication. In this role, you’ll get to: Grow and develop a research practice aimed at understanding the needs of the OPA and OV teams, collaborate with stakeholders to craft research questions and execute research Scope, prioritize, organize, and manage research initiatives across these teams. Exercise flexibility in research methodology (as appropriate for the product space and timeline) by designing and utilizing generative studies or evaluative research, appropriately. Facilitate cross-dis

Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! About the Role Cohere builds frontier AI for the enterprise. We're hiring a Senior Director of Integrated Marketing to bring our demand engine, product marketing, and field/partner motion under one strategic roof. This is the senior marketing leader most accountable for pipeline. You're the person who turns Cohere's product, brand, and category narrative into qualified enterprise opportunities for our sales team. Sub-functions report to you: Product Marketing, Web Marketing, Growth, and Events & Partnerships. You'll work with the Chief of Staff on planning, budget, and operating cadence, and with the Marketing Operations Director and her analytics team on attribution, forecasting, martech, and the dashboards your pipeline number lives in. The demand engine only runs if you and the analytics group work as one team on measurement, and building that partnership is part of the job from week one. This role is built for someone who has done it before at a high-growth B2B SaaS or infrastructure company, and is ready to do it again at the frontier of AI. What You'll Run Integrated marketing strategy Build and run the integrated mark

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. This is a hybrid role. It requires going to the local office 3 times a week. The Auth0Lab Team We are a small team of engineers exploring new Auth0 products and features ideas. We take things from 0 to 1 and we look to shape the future of identity. Our team has had a big role shaping the identity industry: we were all early at Auth0, which shaped how devs do authentication as part of Auth0Lab we incubated Auth0 FGA which redefined how authorization is done across the industry and we also incubated Auth0 for AI agents which defined auth for AI agents We are currently focused on enabling builders and companies of any size to ship production grade AI agents, by helping them with identity and security. We believe data, and developing our own models will play a huge role in this. The role We are looking for a Principal Applied AI Scientist to take product ideas from 0 to 1 and define how we do new AI product innovation. You'll have a lot of independence: you set the technical direction for AI, and experiment fast with minimal process. With that comes real ownership: you'll be the first AI/ML person in the team, so you'll often be figuring it out without a research org behind you. This is a hands-on role. Publishing papers and open sourcing results might happen as it helps us and the industry, but is not our main goal. We have a lot to teach you about security, auth, developer products and many other things. And we also want to learn from you. Join us to ha

At Lyft, our purpose is to serve and connect, cultivating an inclusive environment where all team members can thrive. As the Business Systems Lead for Payroll & Time, you will lead Lyft's global migration onto Dayforce following recent acquisitions. Sitting within People Technology in Corporate Engineering and IT (CEIT), you'll join Lyft's Dayforce program at a formative moment: the initial rollout spans 12–15 countries over two-plus years, and you're joining early enough to directly shape how implementation, governance, and vendor management get done — not inherit a playbook someone else already wrote. You'll be backed by a mature, experienced Payroll Operations team who bring deep subject-matter expertise, while you own the technical and functional side: driving requirements, directing our systems integrator, and building the governance and vendor management model you'll run long-term as the platform's product/service owner. Sitting within People Technology in CEIT, you will drive requirements, make key functional decisions, and partner closely with Payroll Operations, HR, Legal, and Finance. You'll lead vendor delivery to ensure accurate, compliant payroll and time tracking across each migration wave, then own platform governance and vendor management long-term once the program stabilizes. We're looking for someone who can act as the translation layer between operations, executives, and technical teams — equally comfortable explaining payroll concepts to engineers and system constraints to business stakeholders. Responsibilities: Own Requirements and Direct the Implementation Partner Serve as the internal functional owner for the Dayforce payroll and time migration, driving requirements and directing the systems integrator partner. Translate payroll policy, collective bargaining terms, and statutory requirements — as defined by Payroll Operations and Legal — into actionable technical specifications. Validate vendor configurations against country-specific rule

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 seeking a qualitative User Experience Research Intern to join our team, which aspires to elevate the user experience for our drivers and riders across 300+ cities nationwide. You will conduct research studies, as well as participate in studies alongside more senior researchers from which you’ll gain strong mentorship. You will partner with Design, Product Management, Analytics, and Engineering in order to derive deep insights about our users’ behaviors and attitudes, and communicate results and actionable recommendations across the company. Interns contribute to user-facing products, working side-by-side with top User Experience Research team members in the industry while having autonomy from the get-go. Lyft fosters a collaborative environment in the office, so there's always a sharp mind eager to hear about your next idea. So what's yours? Responsibilities: Design and conduct studies across key Lyft product areas -- independently and in conjunction with more senior researchers. You will utilize methods such as ethnographic & field research, diary studies, surveys, user/usability testing (remote and in-person), guerrilla research, and any other methods you find impactful Review, analyze, and communicate qualitative and/or quantitative data to generate tactical and strategic insights, as well as actionable recommendations which drive product innovation and design improvements for users Experience: Currently pursuing a Master's or PhD degree in Human-Computer Interaction, Anthropology, Design, Psychology, Cognitive Science, or a related field from a university in Canada with a graduation date between December 2027 and Summer 2028 (required) Available during Summer 2027 for an internship in Toronto Extraordinary organizational skills and meticulous eye for detail Str

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. As a Data Scientist on the Mapping team, you will collaborate with our world class team of scientists, engineers, product managers, and designers to grow and improve the quality of recommended routes and accuracy of our travel time estimations. We're looking for a passionate, driven Data Scientist who is excited to dive into our geospatial, behavioural and mobility data, and build a best-in-class mapping product that provides safe, efficient, and seamless navigation for our rideshare drivers. Data Science is at the heart of Lyft’s products and decision-making. You will leverage data and rigorous, analytical thinking to shape our mapping products and make business decisions that put our customers first. The Mapping team serves models and systems that determine the most efficient routes, fastest travel estimates and process real-time map data signals to detect traffic, closures and slowdowns. Working with our business and analytics partners, the team owns tools to ensure Lyft offers routes that our users trust. This will involve identifying and scoping opportunities, recommending technical solutions, designing experiments, and measuring the impact of new features. You will help us solve some of the most impactful problems in Mapping, including: How do we accurately predict acute and chronic traffic conditions? How do we improve the recommendations of our routing algorithms? How do we keep our travel estimation promises to our riders and drivers? How do we benchmark and measure the success of our services? Responsibilities: Own the complete lifecycle of algorithmic solutions from problem formulation, data exploration, and feature engineering to deployment, monitoring, and iteration Prioritize and lead deep dives into our data to uncover new product and business opportunities Partner closely with E

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 Safety and Customer Care (SCC) team at Lyft manages over 1.7 million monthly human and AI interactions and serves as Lyft's primary direct touchpoint with riders and drivers. We handle critical infrastructure that powers both human associates and AI agents to make riders and drivers feel safe and comfortable while riding or driving with Lyft, transforming every support interaction into a moment of genuine connection. As a Data Scientist working on Causal Inference in SCC, you'll partner with a strong team of engineers, product managers, designers, and operations leaders to deliver a personalized and exceptional experience for Lyft customers, using rigorous causal inference to guide the highest-stakes decisions we make. We're looking for a motivated and talented Data Scientist with deep causal inference expertise to join the SCC Data Science team. You'll partner closely with the area's tech lead on high-impact work spanning AI-powered support products, differentiated service, and operations optimization. The ideal candidate brings sharp applied inference intuition, a bias toward impact, and the ability to cut through ambiguity in complex problem spaces. You'll work on projects like: Design rigorous experiments and quasi-experiments to measure the causal impact of SCC product and AI-agent launches, and drive data-informed launch decisions. Build causal ML models to optimize concession budget allocation, targeting the right support credit, to the right rider or driver, at the right moment to maximize trust and business impact. Quantify the long-term effects of support-experience changes on rider and driver retention, and uncover heterogeneous treatment effects across our community. Deliver strategic insights on quality–cost tradeoffs, empowering leadership to balance service quality, coverage,

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 People Development team is building the infrastructure for how Lyft grows, develops, and equips its people. As Technical Learning Manager, you will own the strategy and execution of technical learning programs for Lyft's Engineering, Science, Product, and Design organizations — one of our highest-leverage investments in people. This role sits at the intersection of learning design, program management, and functional excellence across the technology organizations. You will inherit an established portfolio of programs for software engineers — including Tech Learning, compliance training, and documentation initiatives — and will be responsible for running, evolving, and expanding them across all of Lyft’s tech orgs. You will report to the Head of People Development and work closely with Functional excellence leadership, HRBPs, and cross-functional partners to ensure our technical learning programs are high-quality, well-adopted, and tied to real business outcomes. Responsibilities: Program Ownership Own the strategy and execution of Lyft's technical learning portfolio, including engineering continuing education programs, documentation improvement initiatives and compliance training Manage mid-cycle programs with active stakeholder relationships and scheduled commitments — ensuring continuity, quality, and follow-through Provide editorial oversight for Lyft's internal technical content initiatives, including the Tech Blog — managing workflow, stakeholder relationships, and publication processes in partnership with engineering contributors Assess the current program portfolio and make recommendations grounded in engineer needs and business priorities Provide engaging learning experiences that empower technologists to do their best work at Lyft Embed AI upskilling in all programs including

Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! About the role We're hiring a Marketing Chief of Staff to keep Cohere's marketing org moving at full speed without coming apart at the seams. You'll report to the VP of Brand and work across the whole function: brand, editorial, design, product marketing, demand generation, and integrated marketing. This is not a strategy-only role, and it isn't a glorified project-management seat either. In any given quarter the org is shipping product launches, field events, partner campaigns, and demand programs in parallel, often across regions and time zones. That pace is the reason the role exists. Your job is to make sure the right work wins when everything feels urgent, that plans turn into shipped work, and that the VP of Brand and the leadership team spend their time leading instead of firefighting. Be clear-eyed about the shape of the work. A lot of it is operational: the planning calendar, the budget, the headcount plan, the weekly business reviews, the cross-functional handoffs that break when nobody owns them. The grind is the job. You should want that part, not tolerate it. One boundary worth naming up front. Marketing Ops owns th

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. Data is at the heart of Lyft’s products and decision-making. You will leverage data and rigorous, analytical thinking to shape our products and make business decisions. This will involve performing rigorous product deep dives, identifying opportunities for product enhancements, and measuring the impact of product changes. The Airports team, within the Driver organization, focuses on the airport marketplace and the unique products designed for this use case. Airports are one of the most important, impactful, and complex parts of Lyft’s Rideshare business, as they are a key part of both the rider and driver Lyft experience and have unique dynamics. As an Analytics Lead on the Airport team, you will collaborate with our team of engineers, product managers, and designers to conduct thorough data deep dives on airport performance, challenge our current strategy, and recommend enhancements to facilitate market growth. The ideal candidate can apply strong business acumen to propose product and marketplace changes, and is comfortable working with a highly cross functional team. In this role, you will help us tackle problems such as: How should we determine pricing and earnings for airport rides? Who are our current airport drivers and what segment can we focus on to grow our supply? How does this strategy interact with driver bonuses? Which airports are underperforming and which key metrics can we use to identify and classify airport performance? What targets should we set for these key metrics and how do we efficiently monitor these metrics? What is driving high cancellation rates today and which types of riders/drivers are cancelling? What product changes can we implement to reduce cancellation rates? How are riders and drivers using different ride modes at airports, and how do we design

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 of bold thinkers and sharp problem-solvers who are wired to make an impact. The Ops Platform organization develops internal platforms that replace repetitive manual processes with AI-driven systems. These tools support key areas such as Fraud Operations, Account Operations, Financial Crimes Operations, and Retirement Services. The team works closely with product, data science, and operations partners to deliver reliable systems that improve decision-making and efficiency! As a Software Developer, you will design and build platforms that enable operational teams to investigate and resolve issues more quickly and accurately. You will work with large datasets and signals to create tooling that supports fraud investigation and other operational workflows. You will collaborate with data scientists and machine learning engineers to translate manual processes into automated systems. Your work will focus on improving system reliability, reducing operational effort, and increasing the speed at which new products and features can be supported across Robinhood’s offerings. 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-performing teams. What you’ll do You will define technical direction and make architectural decisions for systems that support operational workflows across multiple product lines You will build tools that proces

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. Data is at the heart of Lyft’s products and decision-making. You will leverage data and rigorous, analytical thinking to shape our products and make business decisions. This will involve performing rigorous product deep dives, identifying opportunities for product enhancements, and measuring the impact of new features. The Global Growth organization is chartering the future for Lyft’s growth, focused on expanding Lyft beyond North American rideshare’s core products. This includes our premium Luxury modes and Livery drivers, building a unified Lyft presence internationally, and enabling Autonomous Vehicles (AVs) domestically and abroad. These teams are at the center of innovation and the future of Lyft’s growth, and this role would be directly shaping the strategic roadmap for these crucial areas. As a Senior Analyst, you will collaborate with our world class team of engineers, product managers, and designers to build the roadmap for business and product expansion to meet the needs of our international customers. The ideal candidate is a thought leader in this space, working across multiple functions and geographies. This role blends strong business acumen, marketplace dynamics, and strategic understanding of regulatory landscapes to craft a vision for Lyft around the globe. This role will help define Lyft’s strategy for where and how Lyft expands its footprint around the world, sizes the opportunity, scopes the unique products required, and is a liaison to our central marketplace teams. In this role, you will help us tackle problems such as: How will global expansion impact our current North American rideshare users? How does the competitive landscape in future geographies impact our growth strategy? What product developments do we need to develop to successfully expand and gain market share? H