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

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. The vision of the Safety & Customer Care (SCC) team is to foster long-term loyalty to Lyft with every support interaction. If we are successful, a Lyft customer will rarely interact with Lyft Support. But when that interaction occurs, their issue is resolved quickly, effectively, and with true care. For a Lyft customer, their experience of Support should be that “Lyft cares about me and made the experience easy.” As a Data Analytics Lead, you’ll partner directly with cross-functional stakeholders to identify opportunities and design solutions for improving our customers’ support experience. You’ll leverage your analytical expertise to deliver actionable insights and recommendations to drive quality business decisions with customer-facing impact. The ideal candidate is a critical thinker and exceptional problem solver who can build strong relationships with different teams, and who is eager to serve as a leader within the broader Support organization to drive our business forward. Responsibilities Partner with Product, Engineering, Data Science & Analytics, Business Operations and other cross-functional stakeholders to achieve business goals Develop frameworks and scalable processes to drive decision-making and prioritization Define the metrics used to measure the success of strategic initiatives and health of our support platform; build dashboards to track metrics over time Design A/B tests and execute analyses to evaluate the impact of new product features and operational improvements Work closely with cross-functional partners to deliver data-driven insights and actionable recommendations for continuously improving the customer support experience Monitor and diagnose KPI performance and present findings to senior leadership Experience Degree in a quantitative field like statisti

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 . Reddit’s Ads Data Science team is looking for a Senior Staff Data Scientist to lead the scientific strategy behind Reddit’s ads measurement and signal systems. This role sits at the center of how Reddit proves advertiser value, improves signal quality, builds privacy-aware measurement systems, and connects ads exposure to real advertiser outcomes. As a Senior Staff Data Scientist for Ads Measurement, you will be the principal architect of our technical vision and the driving force behind the next generation of our measurement ecosystem. In a landscape rapidly shifting due to privacy regulations, browser changes, and evolving platform dynamics, you will spearhead innovation across experimental design (incrementality/lift), identity, signals, and privacy-safe 1P/3P measurement. This is a high-visibility, high-impact role requiring a rare blend of deep experimentation & causal inference expertise, strategic foresight, and the ability to influence cross-functional executives and industry standards. You will not just adapt to the changing ad-tech environment, you will redefine how we measure value. Responsibilities Technical Vision & Strategy: Define the long-term data science vision & strategy across ads measurement, signal quality, identity, attribution, and privacy. Establish how Reddit should evaluate advertiser value, measurement quality, and signal utility across first-party and third-party products. Set the Cross-Pillar Measurement Science Strategy: Define the long-term data science strategy across a

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 . Reddit’s Ads Data Science team is looking for a highly experienced Staff Data Scientist to advance the intelligence powering the advertiser experience on Reddit. In this role, you'll take deep ownership of a high-impact problem space within advertising, specializing in measurement, identity, and signal quality. This is a high-impact, high-autonomy role where you'll influence strategic direction, set a high technical bar, and drive cross-functional initiatives across one or more critical focus areas in the Ads organization. Responsibilities: Design the Future of Ads Identity: Develop/employ probabilistic models for identity resolution. Design the methodology that links on-platform and off-platform actions to maximize addressability while honoring privacy. Advance Lift Methodologies & Experimentation: Own the statistical rigor behind Reddit’s Brand and Conversion Lift products. Innovate experimental design and develop infrastructure that supports large-scale, high-velocity, low-bias testing for advertisers. Maximize Signal for Predictive Performance: Define the strategy for new signal sources. You will mathematically quantify the value of these signals and work with modeling teams to incorporate them into predictive models, directly improving bidding efficiency and ROAS. Define Ground Truth & Evaluation Frameworks: Solve the industry-wide challenge of validating identity and measurement. Design the objective functions and truth sets used to train our models and measure the incremental impact of our identity graph.

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 the Role At Sentry, Support is an engineering discipline. Our customers are the greatest technical minds in the world—developers at elite enterprises building the future of software—and they deserve answers that go deeper than a knowledge base link. We are architecting the Technical Support engine . We’re looking for a veteran engineer to help us redefine the standard of technical support by combining deep human expertise with autonomous agentic systems. You are a debugger of both code and systems. You will treat support volume as a data signal to build automated resolution paths, ensuring our human engineers only touch the most complex, high-impact architectural puzzles. Sentry Support Engineers aren't just clearing queues; they are Orchestrators . You will engage with our users across GitHub, Discord, and our internal systems, while acting as the Technical Lead for our Agentic Ops. You ensure that when a developer asks a complex question, our systems have the right context and a seamless "Human-in-the-Loop" path to you when deep, nuanced expertise is required. In this role you will Master the Sentry Ecosystem & Support Elite Developers Deep-Dive Debugging: Perform root-cause analysis on complex issues and distributed tracing gaps across polyglot environments. Support the Great Minds: Act as a strategic consultant for senior engineers at our largest enterprise customers, solving high-stakes architectural challenges that push the boundaries of observability. Troubleshoot SDK Implementations: Go deep into the source code of Sentry’s SDKs to help developers instrument complex frameworks and custom environments. Engin

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 the role Issue Workflow is Sentry's primary product surface. Our issue platform processes billions events daily and turns them into actionable insights that help millions of developers fix bugs faster. As a Staff Software Engineer on the Issue Workflow team, you'll architect the systems that power this experience. You'll work at the intersection of high-scale distributed systems and product engineering, building real-time data pipelines, search backends, and analysis systems that surface signal from noise. This is product engineering at massive scale—where every architectural decision impacts millions of debugging sessions. You'll be the technical leader who shapes how Sentry groups issues, how we make search lightning-fast, how we enable sophisticated agentic workflows, and how we ensure that the product is performant even at billions-of-events scale. Your work will define what's possible for the most trafficked part of Sentry's platform. In this role you will Drive technical strategy and roadmap. Partner with engineering leadership, product, and design to shape the multi-quarter technical vision for Issue Workflow platform. Make strategic calls about architectural direction, technology choices, and technical debt. Ensure the team is building a strong foundation to scale with Sentry's growth. Solve complex performance and scalability challenges. Champion product quality and user experience. Build features that don't just work—they delight. You understand that milliseconds matter in the developer experience. You sweat the details of interfaces, error messages, loading states, and edge cases. You instrument everything s

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 : Have you ever considered what powers the intelligent features behind seamless product experiences? The GenAI team is at the forefront of enabling AI-powered security and intelligent innovation across our organization. From crafting AI powered security services, to intuitive generative AI-powered chat experiences that provide instant product support, and developing the best developer experience around authentication for generative AI and AI agents, our team is instrumental in bringing the transformative power of AI to life. We collaborate closely with the Machine Learning team and various product teams to ensure the seamless and secure delivery of AI-enhanced features that provide real value to our users. The Opportunity : As a Staff Machine Learning Engineer on the Generative AI team, you will help shape, architect, and accelerate our Generative AI strategy by contributing across the stack of model development, infrastructure, and platform services. You’ll drive design and implementation of production-ready AI/ML systems at scale: ranging from LLM-powered features to reusable components that other teams across Okta can build on. You will have the opportunity to: Architect, design, and deploy robust Machine Learning & GenAI systems, ensuring seamless integration with diverse platform services and establishing scalable LLMOps pipelines in production. Drive technical decision making while striving to hit the right balance between factors s

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. Auth0, an Okta company, is the leading customer identity platform for developers. Our mission is to secure the world’s identities so innovators can innovate. As AI reshapes how applications are built and used, identity and security are becoming critical to enabling safe and trusted agentic experiences. Our team builds Auth0 products for Agentic AI with a focus on agent identity, access management, and protocols that extend trust to our customers’ AI products. The role is for a highly technical product manager that is adept in developing strong customer-focused product strategies. Responsibilities Define and Execute the Identity and AI Product Strategy: Drive the roadmap and execution for Auth0’s AI portfolio with a specific focus on secure identity solutions, including Auth0 for AI Agents. Identify tactical integration opportunities and ecosystem partnerships that secure agentic workflows and deliver immediate value to developers. Be an Owner and Builder (0-to-1): Bring a hands-on, entrepreneurial mindset to define, prototype, and launch new identity features for AI applications. Balance rapid experimentation with the engineering discipline required to scale features into secure, production-grade identity standards. Collaborate and Influence Without Authority: Serve as the core product owner and direct collaborator for engineering, design, and security teams. Translate the broader AI product vision into concrete, technical requirements, managing the backlog

Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. We are seeking a Verification Lead for our next-generation AI hardware. You’ll guide a top-tier team of Verification Engineers, shaping test strategies to validate functionality and performance of our AI core. This role requires expertise in AI-specific data types, common AI data-movement compute patterns, and on-chip network validation, combined with strong leadership and collaboration skills. This role is hybrid, based out Toronto, ON. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting. Who You Are A Seasoned Verification Leader: An experienced ASIC/SoC lead with proven track record of leading teams through complex tape-outs. An AI Hardware Specialist: An expert in the nuances of high-performance compute, specifically focused on AI/ML architectures and the intricacies of tensor-based operations. A Systems Architect at Heart: A strategist who views verification through a system-level lens, ensuring that hardware, software, and on-chip networks (NoC) harmonize perfectly. A Technical Mentor: A hands-on guide proficient in UVM, SystemVerilog, and cocotb, dedicated to elevating team capabilities and driving rigorous coverage-driven methodologies. What We

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 We build enterprise software that helps organizations optimize sales performance and improve go-to-market agility. Our engineering organization includes multiple product application teams responsible for delivering core customer-facing capabilities. We are seeking Senior Backend Engineers to join our application teams. You’ll work alongside staff, senior, and early-career engineers to design, build, and scale backend systems that power enterprise-grade product workflows. This is an opportunity to work on complex product and data problems while contributing meaningfully to technical decisions, system quality, and team delivery. We are low on meetings and high on accountability. Most of the team is in the EST time zone, with a few located in AST, PST, and Central as well. What you’ll be doing You will play an important role in the continued evolution of our application stack. You will design and build backend capabilities for complex product workflows, contribute to system design discussions, and help ensure our systems remain maintainable, reliable, and scalable as we grow. As a Senior Backend Engineer, you are expected to operate with strong ownership and sound technical judgment. This includes identifying risks in the work you own, surfacing edge cases, asking thoughtful questions, and proposing improvements that strengthen the quality and reliability of the system. You will: Design and build backend services that power complex product workflows. Contribute to d

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. 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 Staff Frontend Engineer will play a critical role in shaping the technical direction, architecture, and long-term evolution of Forma’s customer-facing and internal operations experiences. You’ll operate as a frontend technical leader, working across teams to drive alignment, set standards, and solve complex, ambiguous problems in a highly configurable, data-intensive product. You’ll partner closely with product, design, engineering, and leadership to define not just what we build, but how we build it — ensuring

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! The Opportunity As a Staff Security Engineer, you will be a hands-on technical leader strengthening security across Forma's application, cloud infrastructure, development lifecycle, internal systems, and incident-response practices. Security today is shared across Engineering and DevOps. You'll work closely with both teams and have real room to shape how Forma approaches security as we grow. Depending on your interests and the needs of the business, the role could develop into a deeper individual-contributor position or help build a dedicated security team. You'll work directly with Engineering, DevOps, IT, Product, Legal, and Privacy to identify risks, design practical controls, automate security processes, and help teams ship secure and reliable software. What you'll do Cloud and infrastructure security Design and implement security controls across Forma's AWS environments, with a focus on IAM, least-privilege access, service identities, and account boundaries. Embed security requirements into Terraform and other Infrastructure as Code, and improve secrets, certificate, encryption-key, and credential management. Build automated checks for insecure configurations, excessive permissions, exposed resources, and configuration drift across Kubernetes, containers, serverless workloads, networking, and data services. Application, data, and AI security Run threat modelling and security architecture reviews for new products, services, APIs, data pipelines, and third-party integrations

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 construct our rules-based calculating engine for processing sales commissions. This might sound simple if you have never been exposed to sales comp plans, it is not! We are low on meetings, high on accountability. Most of the team are in EST time zone but we have a few located in PST and Central as well. We are far from maintenance / progressive evolution in many areas, there is a lot of room to make a big impact in the overall design. What you’ll be doing Reporting to the Manager of Data Platform, you will play a critical role in the evolution of our Spark based data platform. You'll lead development efforts for our complex, data-rich platform features while being an example to the team of code quality and thoughtful software design. You will be working on the most challenging code at Forma. As a Staff Engineer, you are expected to operate with a high degree of ownership and trust. This includes proactively identifying architectural risks, surfacing edge cases or constraints others may not see, and advocating for improvements that strengthen the long-term integrity of the system. We value engineers who bring forward thoughtful perspectives - even when they challenge assumptions - and who help the team see around corners. You will: Design and evolve backend services that power product workflows. Architect data models representing hierarchical & graph structures, relationships, and large-scale enterprise datasets. Build

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 our rules-based calculation engine for processing sales commissions. This might sound simple if you have never been exposed to sales compensation plans, it is not. We are low on meetings and high on accountability. Most of the team is in the EST time zone, with a few located in PST and Central as well. We are still evolving many areas of the platform, which means there is meaningful room to improve the design, reliability, and scalability of the systems we build. What you’ll be doing Reporting to the Manager of Data Platform, you will play an important role in the evolution of our Spark-based data platform. You’ll design and build data-rich platform capabilities, contribute to system design discussions, and help ensure our data systems remain reliable, maintainable, and scalable as Forma grows. As a Senior Engineer, Data Platform, you are expected to operate with strong ownership and sound technical judgment. This includes identifying risks in the work you own, surfacing edge cases, asking thoughtful questions, and proposing improvements that strengthen the quality and reliability of the platform. You will: Design, build, and improve Spark-based data pipelines and platform services. Work with complex data models representing sales compensation plans, hierarchies, relationships, and enterprise datasets. Build reliable, deterministic data systems that customers and internal teams can trust. Improve testing, observability, data quality,

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