Service Tech 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. The autonomous transition is a transformational opportunity for Lyft. Our strategy focuses on becoming the preferred marketplace, fleet, and operational partner for the world's best Autonomous Vehicle (AV) providers. As AV deployments scale across new markets, the operational infrastructure that enables safe, compliant, and high-quality service becomes a critical competitive advantage. This role sits at the heart of that infrastructure - owning the systems, processes, and partner alignment that allow Lyft to operate at the standards our AV partners require and our riders expect. As a qualified candidate, you have a track record of building and running complex operational programs in highly regulated or standards-driven environments. You are energized by cross-functional complexity - comfortable leading structured implementation processes that span many teams while keeping a clear eye on compliance and quality outcomes. You bring a program management mindset, strong stakeholder communication skills, and the judgment to navigate ambiguity in a fast-moving industry. Responsibilities: Own execution of AV partner audits end-to-end. That includes evidence collection, submission, partner and third-party review, mitigation oversight, and closeout, across concurrent certification cycles for multiple markets and AV partners, domestic and international. Act as a strategic leader within the company to support cross-functional teams’ compliance controls and readiness for partner scrutiny Drive coordination across teams including EHS, Legal, Safety, HR, IT and Operations for every deliverable. Translate partner and regulatory requirements into concrete, assignable asks and ensure deadlines are met Maintain and continuously improve the audit tracking system, including the evidence library, audit trail, and submissi

About the Role: As a Staff Software Engineer on the ML Infrastructure team, you will collaborate closely with the Machine Learning and Product teams to build world-class machine learning inference platforms. These platforms power essential services like personalized recommendations, search, and content understanding across Tubi. A core responsibility of this team is developing and maintaining low-latency ML model serving systems that support Deep Learning, LLM, and Search models. This involves building self-service infrastructure and critical components such as the inference engine, feature store, vector store, and experimentation engine. You will improve the way we deploy and operate our services and even contribute to open-source projects. This role grants the architectural freedom to explore new frameworks, lead critical cross-functional projects, and transform the capabilities of our ML and Product teams. Responsibilities: Design and build scalable, high throughput, and low latency distributed systems using Scala Build reusable components and services that serve various ML applications like Personalization, Search, Ads and Exploration Partner closely with ML engineers to understand their challenges and limitations and develop scalable solutions to address them. Proactively recommend solutions to keep our ML Inference stack state of the art. Take a data driven approach to identifying & optimizing latency, cost, and efficiency of our infra. Lead large scale cross functional refactorings if necessary Mentor other engineers on the team on system design, effective incident management, interviewing, leveraging LLMs for work, etc. Collaborate with ML, Product, and cross functional engineering teams to define the long term vision and architecture for ML Infrastructure at Tubi. Your Background: Experience designing and building scalable, distributed systems in any modern backend language (e.g., Scala, Java, Python, Go, C++); experience with Scala or JVM b

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 You'll be joining our Okta Customer Acceleration organization, a high-impact team focused on defining and optimizing the self-service journey for our customers across Knowledge, Online Support, and Communities. Our mission is to transform the customer experience by enabling efficient, accurate, and engaging self-service solutions. The Opportunity We're looking for an experienced AI Trainer and Optimization Analyst to take full ownership of our customer support agentic experiences. This is a critical specialist role that offers the chance to directly influence millions of customer interactions annually. You will act as the primary expert on the AI agent's performance, applying a strategic mindset to continuously analyze conversational data and leverage analytics to enhance the bot's ability. You will be responsible for: Implementing prompt engineering best practices. Ensuring the agent provides accurate, efficient, and on-brand support. Managing the bot's tone and ethical guardrails to prevent hallucination and incorrect assumptions. "Thinking bigger" to bring new, strategic ideas for leveraging the agentic experience for maximum customer impact. What you’ll be doing You will be the dedicated owner of the AI agent's conversational experience: Own Conversational Quality & Tone: Act as the primary owner for the AI agent's output, managing the content, tone, and ethical guardrails to ensure responses are accurate, on-brand, and

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 Platform Network Engineering Team Auth0 by Okta is an easy-to-implement authentication and authorization platform designed by developers for developers. We make access to applications safe, secure, and seamless for over 100 million daily logins worldwide. Our modern approach to identity enables this Tier 0 global service to deliver convenience, privacy, and security so customers can focus on innovation. The Senior Software Engineer Opportunity You will be part of the Platform Network engineering team responsible for all connectivity of Auth0. You will play a key engineering role as we evolve our network architecture to meet the demands of enormous growth and support the hundreds of millions of users who rely on us to provide uninterrupted access. You will get to work with engineers throughout the engineering organization. What you’ll be doing Implement internal and edge networking infrastructure and design solutions that work at global scale and with multi-cloud and multi-region constraints. Carry cross-team initiatives from end to end: code reviews, design reviews, operational robustness, security hygiene, etc. Design and develop new services, tools, and automation to expose network functionality to other Okta engineering and operations teams. Research and implement solutions addressing cross-cutting concerns such as routing, failover, and scaling. Participate in the team’s on-call rotation. What you’ll bring to the role Have 3+ years of

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 Analytics team at Lyft exists to build data trust — turning people data into clear, reliable insights that help our HR Business Partners, talent leaders, and executives make better decisions. We're a small, high-impact team in the middle of a meaningful BI transformation: we recently moved to ThoughtSpot as our primary analytics platform, and we're not just replicating old dashboards — we're rethinking what self-service analytics looks like for a People team. That includes exploring ThoughtSpot's AI capabilities to surface proactive insights, enable natural language querying, and reduce the friction between a business question and a data answer. There's real greenfield work here, and we're looking for someone who wants to help define what AI-powered people analytics looks like at Lyft. We're looking for a Data Analyst to join our People Analytics team, based in Toronto. You'll report to the Senior Manager, People Analytics and serve as the first point of contact for incoming data requests across the People organization — triaging, scoping, and delivering on analytical needs ranging from quick ad-hoc pulls to fully built ThoughtSpot dashboards. This role is well-timed: you'll be joining as we complete our migration from Tableau to ThoughtSpot, which means you'll have genuine influence over how we build our reporting layer and push into ThoughtSpot's AI features — think natural language search, AI-generated insights, and proactive anomaly detection applied to people data. This isn't a "maintain the dashboard" role. It's a chance to help build something new. You'll be a self-starter who is equally comfortable writing SQL and presenting findings to a VP. Responsibilities: Serve as the first point of contact for incoming data requests from across the People organization — scoping needs, setting

We’re looking for an Account Manager, Scale to maintain day-to-day contact with our existing customers at scale to help them realize the value of our products and services and establish long-term partnerships with Hootsuite by exploring and qualifying future growth opportunities. In this role, you will leverage your commercial skillset to successfully manage a high volume of customer renewals, while cultivating upsell, cross sell and expansion opportunities for both Hootsuite and Partner products in your book of business. As part of the Scaled Account Management team you will collaborate cross-functionally to provide customer value in all stages of the sales cycle. This is a hybrid role and is open to applicants located within commuting distance of our Toronto or Vancouver office. In this role, you will report to the Manager, Scaled Account Management. WHAT YOU’LL DO: Maintain low-touch day-to-day contact with customers for our pooled accounts at scale; providing timely answers to questions and focus on driving customer health and experience. Develop rapport with customers by proactively providing insightful market information and solutions that showcase maximum benefits from Hootsuite products. Drive renewals, upsells, and expansion in your low ARR accounts by focusing on customer engagements at scale and educating customers on Hootsuite’s value proposition in our pooled motion. Provide weekly forecasts and maintain rolling forecasts including monitoring and reporting account data health. Consistently contribute to generating team pipeline of upsell /product add-ons upon contract renewal or during service period to meet or exceed expansion targets. Successfully manage the end-to-end renewal process required to hit or exceed team renewal targets/quotas, leveraging your product knowledge to efficiently meet customers needs. Demonstrate understanding of contract terms and processes in order to maximize contract valu

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 Ramp Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $200B in annualized spend flows in and out of 70,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. About the Team and Role Scaled Customer Activation owns the onboarding, activation, and early growth of Ramp’s self-service customers. We are placing a big bet on the belief that there is significant untapped potential in our self-service accounts. As an early member of the team, you will have the opportunity to help build and refine Ramp’s International Customer Success team and define the scaled customer implementation motion to drive activation. What You'll Do Become an expert in the full range of integration and configuration options for Ramp’s suite of products, and in turn drive efficient, thorough, and complete onboarding of new Ramp customers at scale Directly own micro-SMB and SMB accounts 1:1, ensuring they can fully onboard onto Ramp in 60 days and <2 calls Balance priorities and multiple tasks supporting implementation, follow-up, and proactive outreach Partner closely with the Product team to ensure customer feedback and pain points are heard, reviewed, and prioritized when needed Identify areas of opportunity where we could automate

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 Customer First Team We are a team of Identity and Access Management experts. We help customers, businesses, and organisations maximise their Okta IAM platform investment, providing rapid time-to-value in adoption and usage and promoting scalability and agility. Our team sits within the Customer First area - focused on ensuring the long term success of our customers. Join our team! We’re building a world where Identity belongs to you. Role Summary Reporting to the Sr. Manager, Business Architecture the Program Manager, Delivery Innovation + Strategic Programs, a critical individual contributor role within our Global Professional Services and Delivery Success organization. This role sits at the intersection of delivery excellence, partner enablement, and business intelligence. Unlike product-focused enablement roles, this position is laser-focused on delivery methodology, operational execution standards, and project-level governance. Your mission is to drive better customer and partner outcomes by analyzing real-world professional services delivery, translating common implementation patterns into repeatable requirements, and creating standard delivery methodologies. You will bridge the gap between internal and external execution by packaging these delivery frameworks into external playbooks, checklists, and blueprints that our internal teams and service delivery partners can leverage to execute consistently. Additionally, you will support our strate

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 building and maintaining a highly scalable asynchronous platform that empowers our organization to handle critical business cases. As a software engineering team, our mission is to create robust and innovative solutions that drive the success of our business and deliver unparalleled value to our customers. We adopt Infrastructure as Code practice to automate the provisioning and configuration of our resources, which helps reduce manual configuration and improve consistency. Our team culture is built on collaboration, open communication, and a supportive environment where each member's ideas are valued and contributions are recognized. We believe in the importance of fostering a positive workplace culture that inspires innovation and creativity. Responsibilities: Maintain and analyze metrics from; operating systems; control planes; and applications to assist in fault detection and performance enhancement Design, develop and deploy tooling and systems that continually improve the reliability, scalability and efficiency of our platform Balance feature development speed and reliability with service-level objectives Operate and improve our Infrastructure using industry best practices and tools Participate in design and production readiness reviews, platform management and capacity planning ceremonies with cross-functional teams Document Infrastructure operations process and insights, identify repeatable actions and ruthlessly automate repetitive tasks Participate in our teams on-call rotations, respond to incidents and support other teams mitigate customer impacting events Experience: 5+ years experience working on teams responsible for software development, automation and systems engineering Experience building large-scale infrastructure, distributed systems or networks. Knowledge with SQS,

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. Our Infrastructure team is passionate about building software to solve problems at massive scale. We do this often, and when we believe our solution is worth sharing with the community, such as Envoy Proxy , we open source our ideas for the benefit of others. As an Observability team member, you are responsible for the operation and maintenance of our logging and metrics infrastructure. You ensure all teams at Lyft are aware of the operational health of their products by monitoring system availability and take a holistic view of our platform performance. You build software and platforms to automate infrastructure platform operations and management. By measuring and monitoring our operations you find opportunities to improve our systems in order to push our platform forward. You provide our partners with the support they need to help them build robust large scale distributed systems. We count on the reliability of our infrastructure to empower Lyft teams to provide our customers rich experiences that are highly available with rock solid performance to ensure our transportation platform continues to connect people and places. As we grow our team, we are seeking experienced Infrastructure Engineer to ensure that as our Infrastructure continues to scale, our platform continues to provide an essential and dependable service that transports millions of people every day. Specifically we are searching for someone who brings fresh perspectives, enjoys collaborating with cross-functional teams in order to continually improve our products and services for our customers. Responsibilities: Maintain, improve, and develop tooling and systems that enhance the reliability, scalability, and efficiency of our platform. Assist engineering teams in defining service-level objectives (SLOs) and provide the necessary toolin

Associate Managing Consultant, Advisors & Consulting Services, Marketing — Toronto, Canada. Apply via Workday.

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career. About the team Stripe processes over $1T in payments volume per year, which is roughly 1% of the world’s GDP. The tremendous amount of data makes Stripe one of the best places to do machine learning. The ML Infra team builds services and tools that power every step in the ML lifecycle, including data exploration, feature generation, experimentation, training, deploying, serving ML models, and building LLM applications. With the phenomenal developments happening in the field of AI, we are positioned to accelerate the adoption of AI/ML across all parts of the company by building highly scalable and reliable foundational infrastructure. What you’ll do You will work closely with machine learning engineers, data scientists, and product engineering teams to enable seamless end-to-end experience in building solutions across data, analytics, and AI/ML platforms. You will build the next generation of ML Infra services and major new capabilities that substantially improve ML development velocity and MLOps maturity across the company. Responsibilities Designing and building scalable, reliable, and secure services for notebooks, ML model training, experimentation, serving, and LLM applications across multiple regions. Creating services and libraries that enable ML engineers at Stripe to seamlessly transition from experimentation to production across Stripe’s systems. Working directly with product teams and ML engineers to improve their day-to-day pr

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