Developer Engagement Representative 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. The Role You are a deep technical architect. Whether it's a Fortune 500 CTO or a startup founder, you know how to read the room and steer it. You have handled enough OAuth token flows, SCIM failures, and multi-product integration edge cases to spot root issues fast. In this role, you will help shape how developers understand identity at scale. You serve as the top technical escalation point for our support team. You are our domain expert. You influence product roadmaps. You mentor engineers. You challenge standard practices. You raise the bar across the entire global team. You handle ambiguity well. You operate with full autonomy. You focus on delivering outcomes that unblock our most complex accounts. What You Do Strategic Escalations and Architecture This is not primarily a queue role. You will mostly engage on cases that exceed senior engineer scope, the ones that need architecture judgment, not triage. End-to-End Ownership: Resolve our most complex developer cases, including multi-product architectures, ISV integration designs, and strategic account escalations. Cross-Functional Bridge: Serve as the technical link between Developer Support and ISV Partnerships, working directly with strategic partners on integration design. Architectural Consulting: Join customer and partner calls to advise on architecture and resolve issues beyond standard support scope. Product and Executive Engagement Roadmap Influence: Partner with Product Management and Engineering

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. Technical Account Manager (TAM) – Enterprise - Auth0 Okta: The World’s Identity Company™ Okta is the leader in Identity management and The World’s Identity Company™. Our mission is to build a more secure world. Okta provides a neutral, powerful, and extensible platform that puts identity at the heart of your stack. Our platforms secure all types of identity, including customers, employees, partners, and AI agents. Top brands trust Okta. We are relied upon by two thirds of the Fortune 100 and over 40% of the Forbes Global 2000 for their Identity-powered journeys. The Key Accounts Opportunity Platform Focus: Primary focus on Customer Identity Cloud (Auth0), with foundational technical engagement across Workforce Identity Solutions (Okta). Travel: Some travel is required, including in-person onboarding and travel to our San Francisco, CA HQ OR Chicago office during the first week of employment. This role is integral to the Key Accounts segment team, managing accounts across various core industries such as Public Sector, Financial Services, Healthcare, Manufacturing, Retail, and Technology. The Technical Account Management (TAM) team is a global group of identity product experts dedicated to enabling existing customers to succeed. As a Technical Account Manager, you will serve as a trusted technical advisor and advocate for key accounts, focusing on developer-focused customer identity architecture, API integrations, hands-on prototyping, and broad deploym

Who Are We? Postman is the world’s leading API platform, used by more than 45 million+ developers and 500,000 organizations, including 98% of the Fortune 500. Postman is helping developers and professionals across the globe build the API-first world by simplifying each step of the API lifecycle and streamlining collaboration—enabling users to create better APIs, faster. The company is headquartered in San Francisco and has offices in Boston, New York, Austin, Tokyo, London, and Bangalore - where Postman was founded. Postman is privately held, with funding from Battery Ventures, BOND, Coatue, CRV, Insight Partners, and Nexus Venture Partners. Learn more at postman.com or connect with Postman on X via @getpostman. P.S: We highly recommend reading The "API-First World" graphic novel to understand the bigger picture and our vision at Postman. The Opportunity We are looking for a Key Account Director to lead growth within a set of Postman’s most important enterprise accounts. This role is part of a new strategic go-to-market motion designed to deepen our engagement with large enterprises, expand our footprint, and deliver the full value of the Postman platform. You will be paired with a pod that includes a Principal Solutions Engineer and a Field CTO, forming a high-caliber account team focused on building long-term, value-based relationships. Together, you’ll engage senior technology leaders, uncover complex challenges, and drive adoption of Postman’s enterprise and platform solutions at scale. This is not a traditional “low-hanging fruit” sales role—this is about strategic account expansion, multi-threaded enterprise engagement, and solution selling. Location: This is a fully remote position. What You’ll Do Own and grow a portfolio of strategic enterprise accounts (e.g., Fortune 500, cloud-first companies, large-scale developer organizations). Deeply engage with senior buyers—CIOs, CTOs, VPs of Engineering, Platform, Security, and Collaboration—to position Postm

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. Marketplace teams are at the heart of our products and decision-making, owning everything from rider pricing to driver earnings, incentives, and efficient matching. We’re looking for passionate, driven engineers to build systems that empower our riders and drivers to have the best transportation experience possible through prediction, adaptivity, and personalization. We’re looking for someone who is excited about working in a fast-paced, innovative, and impactful environment to create reliable solutions to distributed computing, ML, and data problems. The Pricing team is a centerpiece of Lyft’s Marketplace org, determining prices for all rideshare products and supporting new initiatives. Rider Engagement develops rider-facing engagement levers and optimizes user pricing experience to drive both short term and long term business outcomes. We work with Product & Science to solve and implement complex pricing requirements, balancing the needs of riders, drivers, and the business goals. As an owner of one of the most critical flows in the company, you will work on a wide array of challenges such as latency-sensitive concurrency problems, large scale distributed systems, and experimentation. If you’re interested in playing a large part in demand / supply management and improving the Lyft customer experience, this could be a great fit for you. 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, maintaina

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. Marketplace teams are at the heart of our products and decision-making, owning everything from rider pricing to driver earnings, incentives, and efficient matching. We’re looking for passionate, driven engineers to build systems that empower our riders and drivers to have the best transportation experience possible through prediction, adaptivity, and personalization. We’re looking for someone who is excited about working in a fast-paced, innovative, and impactful environment to create reliable solutions to distributed computing, ML, and data problems. The Pricing team is a centerpiece of Lyft’s Marketplace org, determining prices for all rideshare products and supporting new initiatives. Rider Engagement develops rider-facing engagement levers and optimizes user pricing experience to drive both short term and long term business outcomes. We work with Product & Science to solve and implement complex pricing requirements, balancing the needs of riders, drivers, and the business goals. As an owner of one of the most critical flows in the company, you will work on a wide array of challenges such as latency-sensitive concurrency problems, large scale distributed systems, and experimentation. If you’re interested in playing a large part in demand / supply management and improving the Lyft customer experience, this could be a great fit for you. 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, maintaina

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 highly skilled Senior Machine Learning Engineer to contribute to transformative projects in video personalization. In this role, you will design and implement advanced algorithms and systems to improve our personalization strategy. As a senior technical expert, you will tackle complex problems in machine learning at scale, collaborating closely with cross-functional teams to develop and optimize machine learning-driven solutions. This is a hybrid role in our Toronto office. What You'll Do: Design, develop, and implement recommendation systems and algorithms for a global audience Conduct deep dives into algorithmic components and systems, ensuring that models are optimized for both performance and scalability across multiple regions and product areas Build and deploy high-impact robust ML pipelines, including data extraction, feature development, model training, testing, and deployment Continuously monitor, evaluate, and optimize the performance of deployed models, ensuring they meet business goals and provide high-quality user experiences. Work closely with Product, Engineering, and Data Science teams to align on product requirements, set expectations, and deliver machine learning-driven solutions that improve user engagement Your Background: 3+ years of industry experience building production Machine Learning systems BS, MSc, or Ph.D. in Computer Science, Machine Learning, Statistics, Mathematics, or a related field Experience with deep learning technologies for recommendation systems, including TensorFlow, PyTorch, or similar frameworks Proficiency in building and deploying full-stack machine learning pipelines: data e

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 highly skilled Staff Machine Learning Engineer to contribute to transformative projects in video personalization. In this role, you will design and implement advanced algorithms and systems to improve our personalization strategy. As a senior technical expert, you will tackle complex problems in machine learning at scale, collaborating closely with cross-functional teams to develop and optimize machine learning-driven solutions. This is a hybrid role in our Toronto office. What You'll Do: Lead the design, development, and implementation of advanced recommendation systems and algorithms for a global audience Conduct deep dives into algorithmic components and systems, ensuring that models are optimized for both performance and scalability across multiple regions and product areas Build and deploy high-impact robust ML pipelines, including data extraction, feature development, model training, testing, and deployment Continuously monitor, evaluate, and optimize the performance of deployed models, ensuring they meet business goals and provide high-quality user experiences. Work closely with Product, Engineering, and Data Science teams to align on product requirements, set expectations, and deliver machine learning-driven solutions that improve user engagement Your Background: 8+ years of industry experience building production Machine Learning systems MSc or Ph.D. in Computer Science, Machine Learning, Statistics, Mathematics, or a related field Experience with deep learning technologies for recommendation systems, including TensorFlow, PyTorch, or similar frameworks Proficiency in building and deploying full-stack machine le

POSITION DESCRIPTION Title: Manager, People & Culture Employer: Tracxtion Team: People & Culture Hybrid: 3 days in-office weekly Company Overview Tracxtion is a next-generation hybrid agency network built for the evolving landscape of customer experience and brand engagement. We help brands navigate a world where traditional media and marketing boundaries have blurred. By bringing together strategy, creativity, media, digital capabilities, and AI-enabled execution, Tracxtion delivers measurable results through a hybrid approach that combines exceptional human talent with cutting-edge tools and partnerships. From AI-powered advertising and content creation to media planning, experiential marketing, and in-store retail solutions, we partner with leading brands to create innovative, scalable, and impactful omnichannel experiences. Role Overview The Manager, People & Culture plays a critical role in delivering high-quality HR support and people programming across an assigned portfolio of 3 Traction Entities. Reporting to the Senior Director, People & Culture, this role combines strategic business partnership with hands-on execution. The Manager will support leaders, managers, and employees throughout the full employee lifecycle while contributing to broader People & Culture initiatives across the organization. This role carries entity-specific accountability and requires the Manager to develop a strong understanding of each assigned agency's business, culture, workforce, and people priorities. A key component of this role is HRIS ownership. The Manager will be accountable for data integrity, workflow configuration, process standardization, and system adoption within HiBob across their assigned entities. They will ensure the HRIS is not simply maintained but actively leveraged to improve people operations, reporting, and the overall employee experience. Core

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

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 looking to hire a Marketing Analytics Lead to join our Marketing Analytics team. This role is for a hands-on analyst who is passionate about telling stories with data, tackling complex problems, and directly influencing marketing strategy through rigorous analysis. You will be supporting the Product Marketing team with strategic analysis and measuring campaign impact. In addition to informing strategy, you will navigate the Marketing and Product worlds to understand how marketing efforts shape downstream product engagement and customer behavior. The ideal candidate has a background in strategic analysis and prior experience leveraging data and insights to develop strategy, measuring marketing campaign performance, and connecting marketing & product work to business impact. Responsibilities: Perform data analysis using first party & third party data, able to dissect business issues, analyze large amounts of data, and draw actionable conclusions Conduct deep-dive analyses to measure the effectiveness and ROI of marketing campaigns across various channels. Go beyond standard metrics to uncover the "why" behind performance. Build, maintain, and improve dashboards and reports that track key marketing KPIs. Ensure that stakeholders have access to timely and accurate data to inform their decisions. Design experiments to test hypotheses and analysis to measure business impact Define, measure and track key marketing metrics over time, occasionally performing deep dives to understand what drives change in metrics Translate insigh

At Vanta, our mission is to help businesses earn and prove trust. We believe that security should be monitored and verified continuously, and we empower companies to practice better security and prove it with ease. Vanta has a kind and talented team, and while some have prior security experience, many have been successful at Vanta without it. Our business has found incredible product-market fit and has monetized effectively since the day we signed our first customer. We're growing at a blistering pace, which presents career-defining opportunities for engineers to accelerate their growth and to contribute to a rapidly-scaling company. We are hiring Senior Fullstack Product Engineers (React, Typescript, Node, GraphQL & MongoDB) to build emerging products and to contribute to efforts to build features used across our Product Platform; applications through this link put you into consideration for the following teams: Expansion: This team focuses on the full post-activation lifecycle—driving retention, expansion, and revenue automation across the product. You’ll build the core systems that power Vanta’s purchasing, trial, and renewal experiences for existing clients. This includes creating seamless checkout flows, self-serve upgrade paths, and intuitive renewal pages, as well as integrating with our evolving billing infrastructure. You’ll also develop the platform that enables “try before you buy” experiences across Vanta, giving prospects hands-on access and empowering other product teams to plug into a unified trials framework. Activation: Responsible for rethinking the downmarket audit experience in the AI era . We leverage applied AI to automate and personalize the customer journey — reducing the time and effort it takes for customers to reach their compliance goals. Rather than optimizing for engagement alone, we focus on driving real outcomes: getting customers audit-ready, faster. Our work spans the full stack, requires deep leveraging of AI, and cuts across t

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! Cohere is the leading security-first enterprise AI company building cutting-edge foundation models and end-to-end AI solutions that solve real-world business problems. Our mission is to scale intelligence to serve humanity. We believe AI's highest purpose is to enhance human wellbeing and empower businesses to drive progress that reaches everyone. As Head of Impact at Cohere, you'll lead our environmental, social, and governance (ESG) accountability strategy while building and overseeing our philanthropic foundation and employee giving initiatives. You'll be responsible for developing and executing a comprehensive impact strategy that aligns with Cohere's mission. Key responsibilities include: Develop and implement a measurable ESG strategy that integrates environmental sustainability, social responsibility, and governance excellence across all company operations Establish and manage Cohere's philanthropic foundation, identifying strategic giving priorities and partnerships that align with our mission and values Lead our philanthropy, research collaboration and engagement with universities. Create and scale employee giving and v

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

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