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

Designer, Portfolio At Kraft Heinz Design, we believe creativity has the power to make ideas unforgettable. We're looking for a Senior Designer to join our Portfolio Team and help shape the visual expression of seasonal campaigns across some of the world's most iconic brands. Working alongside the Kitchen, Creative Directors, Senior Designers, Art Directors, Copywriters, and Strategists, you'll help create compelling retail experiences and campaign assets that connect with consumers at the point of purchase. This is an opportunity to grow your craft while contributing to integrated campaigns that span retail, shopper marketing, and beyond. This role reports directly to the Head of Design at Kraft Heinz. If you're passionate about branding, retail Design, and creating beautifully crafted work, we'd love to meet you. What You'll Do Support the development of seasonal campaigns across a portfolio of Kraft Heinz brands. Design retail and shopper marketing assets, including point-of-sale materials, displays, merchandising, signage, promotional materials, and campaign collateral. Assist in developing campaign visual identities, design systems, and brand guidelines under the direction of Senior Designers and Creative Directors. Apply existing brand standards consistently across a wide variety of retail and marketing touchpoints. Collaborate with cross-functional teams to ensure designs are strategically aligned, on brand, and production-ready. Contribute ideas during creative development and help evolve concepts through design exploration. Prepare artwork and files for production while maintaining a high level of accuracy and attention to detail. Stay curious about design trends, retail innovation, and emerging creative tools to continuously develop your craft. What You'll Bring Experience in graphic design, branding, retail design, shopper marketing, or integrated marketing through an agency, in-house team, or equivalent experience. A portfolio demonstrating strong design

Director of Corporate Accounting Reports To: VP Finance Location: North America (Hybrid) Team: No direct reports Role Summary The Director of Corporate Accounting manages the consolidation, reporting, and systems data landscape for a multi-entity corporate group operating in Canada and the U.S. You will lead consolidations, multi-jurisdictional tax compliance, and technical accounting. Additionally, this role acts as the functional owner of the group’s financial technology, participating in the implementation of an electronic data warehouse for unified financial and statistical reporting, while establishing robust access management protocols for key financial systems. This is a hands-on leadership role. You will operate at both strategic and execution levels, ensuring audit readiness, controlled working capital, and consistent margin reporting across agencies. Core Mandate Deliver consolidated financial statements within the established group close calendar, with a business day five target as entity close processes mature Provide expertise on technical accounting matters Oversee global group taxation and manage the relationship with the group’s external advisors Responsibility for administration of core financial systems Mentor a growing team of accountants in an indirect relationship Key Responsibilities Financial Reporting & Consolidations Manage the month-end, quarter-end, and annual financial consolidation for 10-15 corporate entities. Oversee multi-currency consolidations, intercompany eliminations, and translation adjustments between CAD and USD. Prepare accurate, timely consolidated financial statements, management reports, and variance analyses for senior leadership and the Board of Directors. Serve as the primary contact for external auditors, managing the annual audit process and supporting audit readiness and the timely resolution of findings and control deficiencies. Financial Data Warehouse Participate in designing, implementing, and mai

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

Senior Designer, Portfolio At Kraft Heinz Design, we believe creativity has the power to make ideas unforgettable. We're looking for a Senior Designer to join our Portfolio Team and help shape the visual expression of seasonal campaigns across some of the world's most iconic brands. This role sits at the intersection of brand, retail, and shopper experience. Working alongside the Kitchen, Creative Directors, Art Directors, Copywriters, and Strategists, you'll develop the visual systems that bring big ideas to life—from campaign identities and brand guidelines to immersive in-store experiences. This role reports directly to the Head of Design at Kraft Heinz. This is more than a design execution role. We're looking for a Sr. Designer who thinks strategically, crafts beautifully, and understands how a single creative idea can come to life seamlessly across retail, shopper marketing, and every consumer touchpoint. What You'll Do Lead the design development of seasonal “Portfolio” campaigns across Kraft Heinz brands. Create campaign visual identities, design systems, and comprehensive brand guidelines that enable ideas to scale consistently across retail and marketing channels. Design engaging retail experiences, including point-of-sale materials, merchandising, displays, environmental graphics, packaging extensions, and promotional assets. Partner closely with Creative Directors, Art Directors, Copywriters, Strategists, Brand Teams, and Retail Marketing to transform big creative ideas into exceptional visual experiences. Build flexible design toolkits that can be adapted across multiple retailers, brands, and seasonal campaigns while maintaining creative consistency. Ensure every execution balances world-class creative with retail realities, shopper behavior, production requirements, and speed to market. Champion design craft through exceptional typography, composition, color, and attention to detail. Present design work with confidence, clearly articulating the strateg

POSITION DESCRIPTION ROLE: SENIOR, TALENT ACQUISITION PARTNER TEAM: TALENT LOCATION: TORONTO (HYBRID) COMPANY OVERVIEW Salt is a North American marketing agency that creates connected experiences through creative, digital & media innovation. Our mission is to “Earn the World’s Attention” and Salt is built to find, develop, execute, and amplify the ideas that are worthy of our clients’ audiences. We’ve structured our agency to do what’s right for our clients – to connect different perspectives, to work across mediums, and to focus on delivering meaningful, effective results. We’re committed to living up to the values in our name. “Salt of The Earth” means we value collaborative, humble, hard-working people here. We’re looking for people who are as smart as they are kind because we believe the right talent and the right culture help us do what’s right for our clients. ROLE OVERVIEW As a Senior Talent Acquisition Partner you are a trusted strategic partner responsible for leading full-cycle recruitment across key disciplines for Salt and The Kitchen North America. You combine relationship building, operational excellence, and data-driven insight to ensure we attract, hire, and retain the best talent in the market. Reporting to the Director of Talent, you will play a central role in designing and refining Salt’s hiring practices, shaping our employer brand, and building inclusive pipelines for future growth. You balance hands-on execution with strategic foresight while managing high-priority searches while also mentoring others, improving systems, and helping define what great hiring looks like at Salt. CORE RESPONSIBILITIES Talent Acquisition & Sourcing Lead end-to-end recruitment for senior and specialized roles across Creative, Strategy, Media, Digit

Overview: Guidepoint seeks an experienced Data/AI Engineer as an integral member of the Toronto-based AI team. The Toronto Technology Hub serves as the base of our Data/AI/ML team, dedicated to building a modern data infrastructure for advanced analytics and the development of responsible AI. This strategic investment is integral to Guidepoint’s vision for the future, aiming to develop cutting-edge Generative AI and analytical capabilities that will underpin Guidepoint’s Next-Gen research enablement platform and data products. This role demands exceptional leadership and technical prowess to drive the development of next-generation research enablement platforms and AI-driven data products. You will develop and scale Generative AI-powered systems, including large language model (LLM) applications and research agents, while ensuring the integration of responsible AI and best-in-class MLOps. The Senior AI/ML Engineer will be a primary contributor to building scalable AI/ML capabilities using Databricks and other state-of-the-art tools across all of Guidepoint’s products. Guidepoint’s Technology team thrives on problem-solving and creating happier users. As Guidepoint works to achieve its mission of making individuals, businesses, and the world smarter through personalized knowledge-sharing solutions, the engineering team is taking on challenges to improve our internal application architecture and create new AI-enabled products to optimize the seamless delivery of our services. This is a hybrid position based in Toronto. What You'll Do: Architect and Build Production Systems: Design, build, and operate scalable, low-latency backend services and APIs that serve Generative AI features, from retrieval-augmented generation (RAG) pipelines to complex agentic systems. Own the AI Application Lifecycle: Own the end-to-end lifecycle of AI-powered applications, including system design, development, deployment (CI/CD), monitoring, and optimization

Overview: Guidepoint seeks an experienced AI Engineer as an integral member of the Toronto-based AI team. The Toronto Technology Hub serves as the base of our Data/AI/ML team, dedicated to building a modern data infrastructure for advanced analytics and the development of responsible AI. This strategic investment is integral to Guidepoint’s vision for the future, aiming to develop cutting-edge Generative AI and analytical capabilities that will underpin Guidepoint’s Next-Gen research enablement platform and data products. This role demands exceptional leadership and technical prowess to drive the development of next-generation research enablement platforms and AI-driven data products. You will develop and scale Generative AI-powered systems, including large language model (LLM) applications and research agents, while ensuring the integration of responsible AI and best-in-class MLOps. The AI/ML Engineer will be a primary contributor to building scalable AI/ML capabilities using Databricks and other state-of-the-art tools across all of Guidepoint’s products. Guidepoint’s Technology team thrives on problem-solving and creating happier users. As Guidepoint works to achieve its mission of making individuals, businesses, and the world smarter through personalized knowledge-sharing solutions, the engineering team is taking on challenges to improve our internal application architecture and create new AI-enabled products to optimize the seamless delivery of our services. This is a hybrid position based in Toronto. What You'll Do: Architect and Build Production Systems: Design, build, and operate scalable, low-latency backend services and APIs that serve Generative AI features, from retrieval-augmented generation (RAG) pipelines to complex agentic systems. Own the AI Application Lifecycle: Own the end-to-end lifecycle of AI-powered applications, including system design, development, deployment (CI/CD), monitoring, and optimization in production

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

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

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. With over half a billion rides and counting, Lyft is solving hard problems in a flourishing domain with a lot of data and creative solutions in Marketplace, Mapping, Fraud, Growth and beyond. We're actively building the next-generation Machine Learning (ML) platform for low-cost, ultra-immersive transportation to improve people’s lives using modern ML with peta-byte scale data. Our Machine Learning Engineers are excited to work on these challenging problems and redefine solutions to directly impact various aspects of Lyft's primary business. If you are a student with experience in machine learning workflows, passionate about solving challenging problems using data and working in a dynamic, creative, and collaborative environment, this opportunity is for you! Responsibilities: Contribute to the design, build, train and test of Machine Learning models Write production-level code to convert ML models into working pipelines Partner with Product Managers, Data Scientists, and fellow ML Engineers to frame Machine Learning problems within the business context Analyze experimental and observational data, communicate findings to support decisions Participate in code and spec reviews to ensure code quality and distribute knowledge Experience: Currently pursuing a Bachelor's, Master's, or PhD degree in Computer Science or a related technical field from a university in Canada (required) , with a graduation date between December 2027 and Summer 2028 (required). For any candidates who are master's students who worked between their bachelor's and master's programs: candidates should also have less than 2 years of relevant full-time work experience Available during Summer 2027 for the internship in Toronto Good understanding and knowledge of ML libraries like scikit-learn, Tensorflow, PyTorch, Keras, MXNet, et

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

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! About the Role Cohere builds frontier AI for the enterprise. We're hiring a Senior Director of Integrated Marketing to bring our demand engine, product marketing, and field/partner motion under one strategic roof. This is the senior marketing leader most accountable for pipeline. You're the person who turns Cohere's product, brand, and category narrative into qualified enterprise opportunities for our sales team. Sub-functions report to you: Product Marketing, Web Marketing, Growth, and Events & Partnerships. You'll work with the Chief of Staff on planning, budget, and operating cadence, and with the Marketing Operations Director and her analytics team on attribution, forecasting, martech, and the dashboards your pipeline number lives in. The demand engine only runs if you and the analytics group work as one team on measurement, and building that partnership is part of the job from week one. This role is built for someone who has done it before at a high-growth B2B SaaS or infrastructure company, and is ready to do it again at the frontier of AI. What You'll Run Integrated marketing strategy Build and run the integrated mark

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. Lyft’s Data Science Team builds mathematical models underpinning the platform’s core services. Compared to other technology companies of a similar size, the set of problems that we tackle is incredibly diverse. They cut across optimization, prediction, modeling, inference, transportation, and mapping. We're looking for Masters or PhD students who are passionate about solving mathematical problems with data and are excited about working in a fast-paced, innovative and collegial environment. We are hiring for a variety of Data Science interns, focusing on the following specialties: Optimization: Construct and fit statistical or optimization models that facilitate automated decision making in the app. Machine Learning: Design, build, tune, and deploy machine learning models with a special emphasis on feature engineering and deployment. Inference: Design and analyze tests in our dynamic marketplace, estimating statistical and ML models to enable better decisions, and developing and evaluating algorithmic policies in our pricing, dispatch, and incentives systems. You will report into a Science Manager. Responsibilities: Partner with Engineers, Product Managers, and other cross-functional partners to frame problems, both mathematically and within the business context Perform exploratory data analysis to gain a deeper understanding of the problem Write production modeling code; collaborate with software engineers to implement algorithms in production Design and run both simulated and live traffic experiments Analyze experimental and observational data; communicate findings including working with partner teams and presentations; facilitate launch decisions Experience: Currently pursuing a Masters or PhD degree at a university in Canada (required) in mathematical sciences ( Opera