Operations Support Senior Analyst in Toronto

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 Science is at the heart of Lyft’s products and decision-making. Data Scientists at Lyft operate in dynamic environments, moving quickly to build the world’s best transportation solutions. We tackle a wide range of challenges - from shaping long-term business strategy with data, to making critical short-term decisions, to developing algorithms and models that power both internal systems and customer-facing products. Driver Incentives Science owns the algorithms and systems behind incentive design, influencing driver engagement and marketplace efficiency — from real-time supply positioning to longer-horizon earnings and engagement programs. The team is responsible for designing pay and incentive mechanisms that are efficient and good for driver experience over the long run. As a Data Scientist specializing in Algorithms, you'll partner closely with product, engineering, and operations leaders to build and scale incentive systems, shape long-term mechanism design strategy, and deliver on critical business goals tied to marketplace efficiency and driver earnings. Candidates with strong optimization backgrounds — think mathematical programming, control theory, or operations research — are a great fit, though we welcome strong candidates from machine learning or causal inference as well. The ideal candidate thrives in a fast-paced environment and brings a hands-on, entrepreneurial mindset to drive results. Responsibilities: Collaborate with engineering and product teams to design, implement, and iterate on new features and algorithmic improvements for driver incentives and pay mechanisms. Design, develop, and deploy optimization models, algorithms, and systems for problems such as budget allocation, multidimensional cost-curve development, and incentive targeting. Write production model code; collabor

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 Science is at the heart of Lyft’s products and decision-making. Data Scientists at Lyft operate in dynamic environments, moving quickly to build the world’s best transportation solutions. We tackle a wide range of challenges - from shaping long-term business strategy with data, to making critical short-term decisions, to developing algorithms and models that power both internal systems and customer-facing products. Driver Incentives Science owns the algorithms and systems behind incentive design, influencing driver engagement and marketplace efficiency — from real-time supply positioning to longer-horizon earnings and engagement programs. The team is responsible for designing pay and incentive mechanisms that are efficient and good for driver experience over the long run. As a Data Scientist specializing in Algorithms, you'll partner closely with product, engineering, and operations leaders to build and scale incentive systems, shape long-term mechanism design strategy, and deliver on critical business goals tied to marketplace efficiency and driver earnings. Candidates with strong optimization backgrounds — think mathematical programming, control theory, or operations research — are a great fit, though we welcome strong candidates from machine learning or causal inference as well. The ideal candidate thrives in a fast-paced environment and brings a hands-on, entrepreneurial mindset to drive results. Responsibilities: Collaborate with engineering and product teams to design, implement, and iterate on new features and algorithmic improvements for driver incentives and pay mechanisms. Design, develop, and deploy optimization models, algorithms, and systems for problems such as budget allocation, multidimensional cost-curve development, and incentive targeting. Write production model code; collabor

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 Workflows is the secure, no-code automation platform that empowers organizations to build identity-centric workflows across cloud applications — all without writing code. Our intuitive drag-and-drop interface allows enterprises to automate complex business processes at scale, enhancing productivity, enforcing security, and simplifying IT operations. Customers like Netflix, MGM, and NTT rely on Workflows to automate high-impact identity scenarios with speed and confidence. As we continue to scale, we’re investing in extensibility, developer experience, and performance. Join us to help shape the future of cloud automation and low-code development. Position Description We’re hiring a Staff Full-Stack Engineer to join the Integration Builder team within Okta Workflows. This team owns the core no-code surface that enables both internal teams and third-party developers (ISVs) to build powerful integrations and automation experiences with ease. As a Staff Engineer, you’ll lead initiatives that span front-end and back-end services — delivering performant, secure, and scalable features. You’ll help define architecture, drive implementation, and collaborate closely with Design, PM, and Platform teams. You’ll also work directly with our technical architects to help shape what we build — and how we build it. This is a high-impact role in a growing, strategic product area with strong executive visibility. Role Details: Design, build, and maintain end-to-end feature

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 Okta Privileged Access Management (PAM) is an identity-centric approach to a common and critical privileged access use case. Our elegant Zero Trust architecture is purpose-built for the modern cloud and helps customers solve challenging security and operations pain points at scale. We are looking for a software engineer to join our fast-growing team with a focus on scalability, reliability, and enhancing the core building blocks of the product. In this role you will: Be deeply involved in evolving the core architecture of PAM. Work in our product development teams to build scalable, composable components of our platform. Be responsible for designing and implementing scalable architecture patterns. Delight our customers by providing world class UX using our React-based design system Design and build APIs that customers rely on for access to production infrastructure. Work on backend components written in Go and frontend components written in React. You might be a good fit if you: Have 3-5 years of software development experience with a background in Golang or similar programming languages. Proficient in React or similar front-end UI stacks. Experienced working with relational databases like PostgreSQL or similar RDBMS technologies. have the ability to complete a feature end to end from designing database models to backend APIs and frontend UI components. Experienced working with any cloud provider such as AWS, GCP or Azure. Thrive in a collaborativ

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 looking for software engineers from a scope of disciplines. We are growing our team with people who want to build, improve and incorporate technologies that make the lives of our community more enriched. As an engineer at Lyft, you'll collaborate with teams like product, data science, analytics, and operations on code that empower us to iterate quickly, while focusing on delighting our passengers and drivers. The Rider organization is focused on building a seamless, best-in-class rideshare experience for riders. From the foundational functionality of requesting a ride to the tailored interactions with your flight, we sweat the small stuff to help make Lyft the best transportation solution. As an Senior Software Engineer on the Rider Team, you will work hand in hand with various teams across Lyft, fostering collaboration, and driving innovation to improve riders' experience with rideshare. Responsibilities: Write well-crafted, well-tested, readable, maintainable code Participate in code reviews to ensure code quality and distribute knowledge Participate in our teams oncall rotation. Identify, triage, debug and resolve issues/bugs across our various applications and platforms Have the ability to explain the various trade offs made in decisions Manage project priorities, deadlines, and deliverables. Partner with product managers, designers, and other engineering teams to build complex features and products from idea to positive execution Analyze our internal systems and processes and locate areas for improvement/automation Share your knowledge by giving brown bags, tech talks, and promoting appropriate tech and engineering best practices Provide technical mentorship and feedback to junior engineers Help establish roadmap and architecture based on technology and our needs Experience: B

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Lyft is building the next generation of intelligent agents powered by AI. We're seeking a Senior AI Agentic Engineer to lead this transformation across the enterprise. This is a strategic role for someone who can bridge the gap between AI technology and business value, designing and deploying AI-powered workflows that deliver measurable outcomes. You'll work across IT, people operations, marketing, sales, finance, legal, and procurement to architect AI-first solutions that solve complex business problems. Responsibilities: Architect and implement AI agents and intelligent workflows that transforms complex, multi-step business processes and deliver quantifiable business outcomes Partner with business leaders and stakeholders across multiple departments to identify high-impact AI opportunities that align with organizational objectives Elicit requirements from diverse stakeholders and translate complex business problems into technical solutions Build compelling business cases that clearly articulate ROI, implementation costs, benefits, timelines, and strategic alignment Evaluate, recommend, and implement AI solutions that best fit organizational needs and use cases Design solutions with an AI-first approach, ensuring optimal value delivery and user experience Monitor and measure the performance of AI workflows, using data-driven insights to demonstrate value and drive continuous improvement Design and deliver training programs, workshops, office hours, and enablement materials that help teams understand and adopt agentic solution Create frameworks, best practices, templates, and reusable patterns that accelerate AI adoption and ensure consistent quality Build a community of practice around AI and intelligent agents, empowering others to identify opportunities and contribute to the agentic roadmap Act as

About the Role: Tubi's content platform is the engine behind one of the largest free streaming services in the world. Every play, every deal, every creator, every frame of video flows through systems CPE owns, and the surface area is enormous. Distributed services running on the hottest path of Tubi's traffic. Video pipelines processing one of the largest workloads in streaming. Workflow engines automating the operations that used to consume entire teams. Creator-facing products turning a back-office process into a real platform. And on top of all of it, an AI-native rebuild of the CMS that most companies aren't willing to attempt. This isn't a single-domain role. It's a platform where backend, frontend, video, infrastructure, and applied AI all collide at the scale where decisions actually matter, where an architectural choice ripples across millions of titles and billions of requests, and where the difference between "good enough" and "great" shows up in revenue. We're looking for builders who want to range across domains — backend one quarter, frontend the next, applied AI the one after that — and who want their work to be felt: by viewers when a title plays instantly, by creators when they go live the same day, by Content Ops when a workflow runs itself, and by the business when the platform stops being a cost center and starts being a force multiplier. The infrastructure is already there. The mandate is already there. What's missing is the people who want to build the thing, not talk about it. Come build it. 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: You'll work on systems that sit at the heart of Tubi's business, where the content pipeline meets the viewer, the creator, and increasingly, the AI agent. The work spans the full stack of a modern content platform: distributed services, video infrastructure, workflow automation, and applied AI, all running at

About Forma.ai: Forma.ai is a Series B startup that's revolutionizing how sales compensation is designed, managed and optimized. We handle billions in annual managed commissions for market leaders like Edmentum, Stryker, and Autodesk. Our growth has been fuelled by our passion for fundamentally changing and shaping how companies use sales intelligence to drive business strategy. We’re welcoming equally driven individuals who are excited about creating something big! About the team: Engineers on this team build the application our customers and internal teams use to configure, operate, manage, and visualize complex incentive compensation workflows. This role sits within Forma’s ICM Operations platform, spanning areas such as Core Services, Business Intelligence, workflows, automation, APIs, claims management, next-generation reporting, and data exploration capabilities. There are many complex and difficult areas across the product, especially across frontend architecture and user experience, because of high data volumes, wide configurability, complex business logic, and mission-critical operational workflows. The work is not just about building screens; it is about helping users understand, act on, and trust complex compensation data and operational processes. We are low on meetings and high on accountability. Most of the team is in the EST timezone, with some teammates in PST and Central. We are far from maintenance or simple progressive evolution in many areas; there is a lot of room to make a meaningful impact on the overall user experience, product architecture, and frontend design patterns. What you'll be doing: Reporting to the VP of Engineering the Senior Frontend Engineer will play a key role in building, evolving, and scaling Forma’s customer-facing and internal operations experiences. You’ll work closely with product, design, engineering, operations, and leadership partners to deliver intuitive, performant, an

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 Identity & Integrity organization is looking for software engineers. We are growing our team with people who want to build, improve and incorporate technologies that make the lives of our community more enriched and safe. As an engineer at Lyft, you'll collaborate with teams like product, data science, analytics, and operations on code that empower us to iterate quickly, while focusing on delighting our passengers and drivers. As a Software Engineer in the Identity team, your primary responsibilities will encompass: Lyft’s Login & Signup Experiences: Design and enhancement of our Multi-factor authentication (MFA) experiences. Optimization of verification funnels, including: Phone-based two-factor authentication (2FA) Email verification Identity provider single sign-ons (SSO) Overseeing session management and device validation. Developing OAuth client provisioning and related tooling. Account Security: Act as the frontline defense against fraudsters and phishers aiming to exploit rider and driver accounts through product vulnerabilities. Implement strategies to counteract risks posed by social engineering tactics. Scaling Core Services: Lead the maintenance and optimization of core microservices under the Identity team's purview, essential to Lyft’s diverse service offerings. Manage organizational structures and multi-user management systems. (RBAC, family accounts, AuthZ) Design solutions for high-stakes challenges such as: Preventing unauthorized driving. Thwarting abuse related to recycled phones and their numbers. Striking a balance between stringent customer verification and ensuring minimal user friction. Responsibilities Write well-crafted, well-tested, readable, maintainable code Promote appropriate tech and engineering best practices Implement identity and security protocols to se

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 Auth0 Delivery Enablement & Operations team is seeking a Senior Technical Program Manager to drive the cross-functional delivery of our most strategic portfolio of work in Platform Infrastructure. We are seeking an individual with a passion for technology, infrastructure, and operational excellence. The Senior Technical Program Manager will partner with Product and Engineering teams to implement, maintain, and optimize complex operational processes, inclusive of clarifying needs and value, securing commitment from teams across the organization, setting timelines, and facilitating ongoing delivery and execution. This role will report to the Senior Manager, Technical Program Management. You will: Drive large-scale, complex, cross-functional programs from design through delivery. Partner with Product and Engineering to define scope, value, and technical requirements, securing commitments across organizations. Orchestrate planning, prioritization, and execution, managing the integrated program plan and timelines across disparate functions. Proactively identify and resolve risks, dependencies, and impediments, clearly communicating trade-offs and solutions to stakeholders. Build and maintain strong relationships , serving as the central point of contact and providing consistent transparency into program goals, progress, and quality. Energize cross-functional teams to achieve ambitious objectives and uphold world-class operational excellence and sec

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

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 Team The Auth0 Platform Tools team owns the incident management tooling, Slack-based tooling, StatusPage, and local development environments that Auth0 engineers rely on every day. That includes incident.io and the services we have built around it, Statuspage, custom Slack bot applications that automate our incident response and engineering operations workflows, the customer-facing web application behind status.auth0.com, Vivaldi, and Tilt - the tools engineers use to run Auth0 locally. We are seeking an engineer to help build new features across all of these tools. Our stack is primarily TypeScript and Node.js, with a React and Next.js front end, backed by Postgres and Redis, and deployed on Kubernetes on AWS. A significant portion of our incident and engineering operations automation is built on Tines, a no-code automation platform. Prior no-code experience is welcome, but we expect you to learn Tines here and become effective with it. Current initiatives include extending our incident tooling to meet FedRAMP requirements, taking full ownership of the status page, and improving how we communicate incident status to customers. There is real room to improve along the way, from test coverage to resilience to inherited technical debt. We build for two audiences: Auth0 engineers, who depend on our tooling every day, and Auth0's customers, who rely on the status page during incidents. We are looking for an engineer who cares about both and enjoys working wi

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 are hiring a Business Systems Lead to own the sales technology behind Lyft Ads. As the senior technical owner of the Lyft Ads CRM and commercial systems, you will lead solution design across Salesforce and the connected ad-sales stack and own the architecture for how ad deals move from opportunity through order management and billing. You will work alongside a team of Salesforce engineers and partner closely with Ads Sales, Sales Operations, Ad Operations, Finance, Legal, and the Media engineering teams. This is a hands-on leadership role for someone who knows ad-sales operations and can build the systems that run them. Responsibilities: Own the Salesforce architecture for the ad-sales lifecycle, from lead sourcing and opportunity creation through Order Management System (OMS) integration, contract execution, delivery reconciliation, and billing. Identify problems and opportunities across the Ads sales technology stack and shape them into scoped, funded initiatives. Lead requirements with Ads Sales, Sales Operations, Ad Operations, Finance, and Legal partners, and translate them into functional and technical designs. Own the integrations that connect Salesforce to the ad-sales ecosystem, including order management and contract systems, the ad server, and billing, through middleware such as Workato or Boomi. Drive AI best practices across the Sales Technology team, modeling effective usage and ensuring all AI-generated output meets Lyft's standards for quality, security, and performance. Guide the evolution of the Ads CRM platform, including the media-specific data model (agency, advertiser, and brand hierarchies, insertion orders, and flights) and own the Ad Sales Technology roadmap . Lead contract lifecycle management for Ads, including intake automation and Salesforce integration. Remain h

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