Partner Success Manager in Toronto

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

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . We are seeking a senior leader to lead Revenue Strategy & Operations for Reddit’s Global Large Customer Sales (LCS) channel. This role will serve as the operating partner to the global LCS leadership team, helping translate company and channel strategy into clear goals, disciplined execution, and measurable revenue outcomes across regions, verticals, and customer segments. You will own the strategy and operations that drive LCS growth—from annual and quarterly planning through weekly performance management, forecasting, resource allocation, and execution of the highest-impact growth initiatives. You will partner closely with Sales, Finance, Marketing, Product, Business Operations, and other cross-functional leaders to improve sales productivity, unlock new pockets of demand, and scale a globally consistent go-to-market model. This is one role that will lead Strategy & Operations for the Global Large Customer Sales channel. The role is required to be based within commuting distance (50mi) of one of our North America sales hubs in San Francisco, Los Angeles, Chicago, New York, or Toronto. Responsibilities: Serve as a trusted strategic partner to the Global LCS leadership team, shaping channel strategy, priorities, operating model, and investment decisions. Lead the annual and quarterly planning processes for Global LCS, partnering with Finance as well as regional and vertical sales leaders to build credible goals, capacity plans, coverage models, and resource recommendations. Establish and run the global business

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 and analytics are at the heart of Lyft's products and decision-making. The Metrics team sits in the Central Market Management organization and owns the business metrics that leaders use to run the marketplace. We define these metrics, build and manage the tools and dashboards that make them reliable and easy to access, and drive consistent, standardized definitions across the organization. We are looking for a Data Scientist to join the Metrics team and help shape Lyft's products and decision-making. You will own a domain within the team's surface area, building and maintaining the data and metrics that leaders and partner teams rely on, with significant executive exposure along the way. We want an intellectually curious person with strong attention to detail, a track record of analytical problem-solving, and skilled communication. You will report to a Data Science Manager. Responsibilities Own one or more domain datasets end-to-end, from source data through to the metrics that consumers rely on Build and maintain the processing logic and pipelines that turn raw inputs into trusted, analysis-ready data Own the business metrics derived from that data, developing the deep understanding of the source needed to build each metric correctly Ensure the data is accurate, consistent, and reliable, with quality checks that catch problems before consumers see them Deliver data and metrics to stakeholders in a usable form, and support them as they integrate it into their decisions Partner with product managers, engineers, and operators to translate the data into decisions and action Communicate findings to stakeholders in a clear and concise manner Experience Degree in a quantitative field such as statistics, economics, applied math, operations research, or engineering (advanced degrees preferred), or relev

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 contract position through our staffing partner Magnit. 108,000.00 - 135,000.00 - 162,000.00 CAD Annual This role is not eligible for the Okta-sponsored benefits listed below. Magnit will provide any locally required benefits. Okta seeks a skilled Senior Recruiter to drive full-lifecycle recruitment and build strategic talent pipelines for our Engineering organization across North America. As part of our AMER Tech Recruiting team, you will be a trusted talent advisor responsible for sourcing, engaging, and delivering top-tier engineering talent while maintaining an "always recruiting" mindset in a fast-paced, high-growth environment. What You'll Be Doing Own full-lifecycle recruitment for Engineering and technical roles (Software Engineering, Site Reliability, Security, TPM, Product) across US & Canada, managing a flexible req load that scales with business priorities. Partner strategically with hiring managers and leadership to understand talent needs, define role scope, advise on talent gap mitigation, and challenge assumptions to ensure hiring decisions strengthen long-term organizational capability. Build and execute talent strategies that balance external hiring with internal mobility, creating sustainable pipelines that reflect commitment to diversity, inclusion, and high-performing engineering culture. Drive metrics-informed recruiting decisions by developing KPIs, analyzing recruiting data, and using insights to optimi

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. 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 a Infrastructure Engineer at Lyft, you will run our Production Infrastructure by monitoring system availability and take a holistic view of our platform health. You will build software and platforms to automate infrastructure platform operations and management. By measuring and monitoring our operations you will seek opportunities to optimize our systems in order to push our platform forward, anticipating our customers' needs in order to continually improve the platform. You will provide Lyft partner teams with operational support to help them build robust large scale distributed systems. About the Team Data Pipelines is at the heart of all critical data flowing through Lyft supporting hundreds of services that impact millions of drivers and passengers every day. Our team’s mission is to empower Lyft engineers to self-serve in building and maintaining data pipelines as needed to support products that deliver the world’s best transportation experience. We leverage a variety of technologies to store, stream and manage data making it available to our internal customers. 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

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 Trust & Safety function at Lyft is dedicated to keeping every Lyft ride safe for both riders and drivers. We build and maintain the tools, features, and systems that deter bad actors, protect vulnerable populations, and reinforce trust across the platform. As an Backend Engineer working on Trust & Safety, you'll work at the intersection of product, design, engineering, and policy to ship high-impact safety features to millions of users. Responsibilities: Drive high-impact projects and innovate new solutions to provide the best user experience. Work closely with cross-functional teams and partner teams to develop solutions based on technology and business needs, and advance team’s goals and priorities Independently lead features from idea to positive execution and launch Unblock, support and communicate with internal partners to achieve results Write well-crafted, well-tested, readable, maintainable code Utilize your expertise in Python, Golang, AWS to deliver robust and scalable solutions Participate in code reviews to ensure code quality and distribute knowledge, as well as on call rotations Share your knowledge by giving brown bags, tech talks, and promoting appropriate tech and engineering best practices Experience: BS/MS or equivalent in Computer Engineering, Computer Science, or related field or relevant work experience 3+ years of software engineering industry experience Extensive experience in object oriented programming, ideally in GoLang or Python Experience in backend software development of distributed systems and concurrency Strong oral and written communication skills, and ability to collaborate with and influence cross-functional partners Benefits: Extended health and dental coverage options, along with life insurance and disability benefits Mental health benefits Family bui

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. 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. As a Senior Software Engineer, Data on the Mapping team, you will collaborate with our world-class team of engineers, product managers, and scientists to grow and improve the quality of recommended routes and accuracy of our travel time estimations. You will lead the architecture and long-term technical direction of our offline experimentation tooling and route simulation services — the systems that let Lyft test routing changes safely before they reach production. You'll also build scalable data pipelines for experimentation, analytics, and machine learning models, along with the data governance and observability systems that keep them trustworthy. Your work will enable integration with partner teams and allow stakeholders across Engineering, Data Science, and Product to make data-informed decisions that directly impact Lyft’s growth and profitability. Our technology stack is based on the latest technologies such as AWS, Databricks, Kubernetes and Airflow. You will work with incredibly passionate and talented colleagues from software engineering, machine learning and data science on projects that directly impact millions of riders and drivers. Responsibilities Own core data pipelines end-to-end, building deep subject matter expertise in the systems you manage and defining/managing SLAs for pipelines, services, and datasets to ensure reliability at scale Serve as the technical owner and architectural lead for our offline experimentation platform and route simulation services, setting technical direction, evaluating trade-offs, and ensuring the systems scale with Lyft's routing and mapping ambitions Continuously evolve data models and schemas to meet business and engineering requirements Develop AI tools that support self-service management of data pipelines (ETL) and schema evolution, and perform han

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here . The Lead Industry Manager will manage the SMB Agency Sales Account Management business, responsible for revenue delivery and growth. They will lead a large vendor sales team in executing and operationalizing the strategy. What you’ll do: Drive retention and upsell across our 1K+ SMB agencies Retain and grow 7K+ managed advertisers Define the operational sales strategy by developing and standardizing operational systems to empower the SMB team to operate at scale Lead a high-performing team of sellers to deliver against quarterly revenue targets through effective planning, goal-setting, data analysis, and forecasting Manage relationship with Pinterest’s vendor partner Support team strategy for media planning, campaign management, media measurement and media channels (e-commerce, branding, formats and targeting) Motivate, m

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

About Sentry Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building. Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future. About this role Are you ready to redefine the future of JavaScript development? Are you a seasoned JavaScript expert who gets a thrill from tackling complex challenges across the entire JavaScript ecosystem? Do you believe that AI can be a powerful partner in crafting elegant, high-impact code? If you're ready to leave the mundane behind and join a team that's shaping the tools used by millions of developers globally, we've got an opportunity for you at Sentry. This isn't your typical Senior Software Engineer position. As a key member of our growing JavaScript SDK team, you'll be at the forefront of innovation, working on everything from our cutting-edge SDKs for the React, Next.js, Vue, Nuxt, Hono, NestJS, and beyond. You won't just be maintaining code; you'll be pushing the boundaries of what's possible in developer tooling across the full spectrum of the modern JavaScript framework landscape. In this role you will Join our JavaScript SDK team and get ready to build the future. You'll be at the forefront, working on: A Universe of JavaScript Challenges: Dive deep into our extensive suite of JavaScript SDKs, with a broad focus on framework support spanning the modern JS ecosystem — from frontend frameworks like React, Vue, and their meta-frameworks Next.js and Nuxt, to server-side and edge runtimes like NestJS and Hono. Your work will directly empower millions of developers to build better, more reliable software, regardless of their framework of choice End-to-End Ownership: We believe in giving our engineers the autonomy to see their vision through. You'll have the freedom to plan, implement, and ship your code, from writi

About Sentry Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building. Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future. About this role Are you ready to redefine the future of JavaScript development? Are you a seasoned JavaScript expert who gets a thrill from tackling complex challenges across the entire JavaScript ecosystem? Do you believe that AI can be a powerful partner in crafting elegant, high-impact code? If you're ready to leave the mundane behind and join a team that's shaping the tools used by millions of developers globally, we've got an opportunity for you at Sentry. This isn't your typical Senior Software Engineer position. As a key member of our growing JavaScript SDK team, you'll be at the forefront of innovation, working on everything from our cutting-edge SDKs for Node.js, Bun, Deno, Cloudflare Workers, and other modern server runtimes. You won't just be maintaining code; you'll be pushing the boundaries of what's possible in developer tooling across the rapidly evolving server-side JavaScript landscape. In this role you will Join our JavaScript SDK team and get ready to build the future. You'll be at the forefront, working on: A Universe of JavaScript Challenges: Dive deep into our extensive suite of JavaScript SDKs, with a sharp focus on server-side and edge runtimes — from the battle-tested Node.js ecosystem to cutting-edge alternatives like Bun and Deno, and distributed edge environments like Cloudflare Workers. Your work will directly empower millions of developers to build better, more reliable software, no matter which runtime powers their stack End-to-End Ownership: We believe in giving our engineers the autonomy to see their vision through. You'll have the freedom to plan, implement, and ship your code, from writing

This posting is for a future vacancy. We’re looking for a Senior Account Executive, Enterprise Sales to help us develop and close new business with larger enterprise customers within our landmark industries. You will work in a fast paced sales environment selling Hootsuite solutions to prospective customers. This role is a full sales cycle role from opportunity creation to close. You will be responsible for owning your own pipeline and generating outbound opportunities with companies that could benefit from Hootsuite as their social media management partner. This is a hybrid role and is open to applicants located within commuting distance of our Vancouver or Toronto offices. In this role, you will report to the Manager, Enterprise Sales. WHAT YOU’LL DO: Successfully acquire new enterprise customers within our landmark industries in order to achieve and exceed individual quota targets. Develop and execute an industry-specific account growth strategy in order to identify, generate and develop a net new sales pipeline. Take ownership of your quarterly target by crafting and executing a strategy in order to identify, generate and develop net new sales pipeline and achieve/exceed quota targets. Accurately forecast sales activity and revenue attainment. Lead longer end to end sales cycles from value creation to negotiation and closing, and present the value of our solutions to senior and C-suite prospective customers. Lead strategic, high-impact conversations that uncover business priorities, align solutions to executive objectives, and drive long-term partnerships. Manage complex, global evaluations and manage stakeholders in different regions and departments. Proactively and strategically seek out market information and understand the product-market fit in order to effectively develop rapport with customers. As a subject matter expert in Social Media Management and in our customers unique industry, advise and recommend relevant solut