High Speed Ai Interconnect Signal Integrity Engineer in Toronto

Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading. About the team + role We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards. We are looking for an experienced and innovative attorney to join our regulatory and product counsel team as Assistant General Counsel, reporting to the Senior Director and Deputy General Counsel, Crypto at Robinhood. In this role, you’ll partner directly with our product and compliance teams on product launches and provide legal counsel to them on an ongoing basis. The successful candidate will be an engaged and resourceful self-starter, comfortable working in a fast-paced and dynamic environment, and excellent at building strong relationships. This is an exciting opportunity to join a growing company and add to our mission to democratize finance for all. This role is based in our Toronto office with in-person attendance expected at least 3 days per week. At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams. What you’ll do Provide end-to-end counseling on a range of retail cryptocurrency products and services, collaborating with colleagues and cross-functional stakeholders across the company Respon

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. Agentic AI is at the center of how we scale that mission. We fine-tune and align open-source models, build AI-powered support agents, and develop end-to-end AI agents for safety case management, systems that reason over complex, high-stakes cases and drive them to resolution. SCC brings together ML, data, backend, and product engineers alongside data scientists and operations partners to transform these systems. As a Machine Learning Engineer on the SCC team, you will fine-tune and align models and build AI Agents that power how riders and drivers get help. Your work spans the full loop: post-training open-source models for our domain, composing them into multi-step agents, and building the evaluation that proves they are safe to ship in a customer-facing, safety-critical setting. Post-train and adapt open-source LLMs for SCC use cases using SFT, LoRA, and preference-tuning methods (RLHF, RLAIF, RLVR). Design and build AI-powered support agents and end-to-end agents for safety case management using LangGraph or equivalent agentic frameworks. Own the evaluation data flywheel, offline and online, that defines what "good" looks like and build benchmarks for the team to hill-climb. Turn interaction feedback into training data and learning signals, closing the data flywheel that continuously improves the models. Responsibilities: Conduct literature review and build post-training fra

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 hiring a Senior Financial Data Analyst to lead the Reporting sub-team within Finance Data & Insights. This sub-team is core to ensuring all key Run the Business (RTB) financial reports are complete, accurate, and operationally reliable on a day-to-day basis. The mandate is two-fold: build repeatable systems, playbooks, and documented workflows that reduce reactive work, and own the primary stakeholder relationships for RTB work across teams. This is a high-visibility role that combines hands-on ownership of critical reporting with team leadership and process-building. Responsibilities: Own all RTB and Compliance reporting (tax, airports, audit requests, etc.), ensuring accuracy, completeness, and operational reliability Build and maintain process documentation, checklists, and operational playbooks that make reporting workflows repeatable and resilient Receive and operationalize reports stabilized by Finance Data Products, integrating them into day-to-day RTB reporting operations Reduce fire-drill, ad-hoc response patterns by replacing them with documented, recurring workflows and automation Identify and drive automation opportunities across RTB reporting processes to improve efficiency, reduce manual effort, and further reduce ad-hoc work Own primary stakeholder relationships for RTB work, serving as the go-to point of contact across teams Lead large-scale, cross-functional initiatives with significant autonomy — from problem definition through execution — proactively communicating progress and risks to stakeholders and management Proactively identify risks, gaps, and opportunities for improvement within RTB reporting and drive initiatives to address them Experience: BA/BS with 5+ years of experience in finance, accounting, business, consulting, or analytics Advanced proficiency in

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. Trust and confidence is fundamental to the Lyft marketplace, and the Pay, Integrity & Identity (PII) Analytics team is charged with providing and ensuring that trust and safety to all customers. The PII Analytics team is one of the most critical teams that helps protect Lyft and enables the company to grow in a sustainable way. The team is fast-paced, high-energy, and meticulous in diagnosing emerging fraud patterns and preventing fraud loss before it can happen. We drill holes in all the products we launch and obsess over how to make our business impervious to fraud vectors. The team conducts a rigorous analysis of complex data sets and sets up multiple layers of business rules, models, and other processes to prevent potential fraud. We are a highly cross-functional team and regularly engage in discussion and reviews with stakeholders to prioritize plans for reducing fraud impact and introducing safety features. We’re looking for a rock-star to join a fast-paced environment to contribute to Fraud-related analysis and operations. This individual is responsible for investigating and developing solutions to prevent and mitigate third party fraud. This person will proactively identify fraud patterns and sources to minimize the company’s exposure to financial and reputational risk. The Senior Analyst will take ownership over multiple discrete fraud segments to develop and execute a strategy which addresses fraud in the earliest stages of detection. The Senior Analyst will define fraud prevention measures that are mindful of the impact on good user experience while inhibiting fraud actors’ ability to reach our platform. This person is quantitatively driven, detail-focused, and operations-savvy while ensuring the best possible customer experience. This individual possesses a high level of subject matte

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 Customer Care Operations organization manages over 1.7 million monthly customer interactions and serves as the company's primary direct touchpoint with riders, drivers, and businesses — spanning frontline support across multiple customer segments, a global BPO workforce, and the central functions that enable them to operate at scale. The Senior Manager of Support Excellence owns the enablement infrastructure that determines whether Lyft's support operation can scale efficiently, react nimbly, and maintain high standards: Knowledge Management, Quality, Learning & Performance, and Tooling Enablement. This is not a role for someone who wants to maintain and optimize — it's a role for someone who wants to reimagine. The right person brings a bold, integrated vision for how these functions work together with Operations, Product, and Technology to improve customer outcomes and accelerate Lyft's evolution into an AI-native, human-enhanced support organization. They will set the direction, hold the bar, and move at the pace the environment demands — with the industry expertise to know what "great" looks like and the conviction to pursue it. Reporting to the Director of Business Planning & Central Operations, this role leads a team of 4-6 direct reports and 40-50 indirects, each owning a distinct function on the team team. Responsibilities: Vision & Strategy Define and own an ambitious, integrated vision for how Knowledge Management, Quality, Learning & Performance, and Tooling Enablement work together — not as separate functions, but as a unified enablement system that improves customer outcomes and advances Lyft's AI-native support evolution. Expand active AI fluency to every function in the portfolio — from how knowledge is structured for AI retrieval, to how quality signals feed mod

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

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 connects people to transportation to change the way we live and get around our communities. We are looking for a Senior Staff Technical Program Manager who brings exceptional technical and analytical skills to drive execution across high-impact product initiatives. Come be part of a team at Lyft focused on enabling and empowering engineering teams to deliver at scale. Technical Program Managers at Lyft drive cross-functional initiatives, leveraging strong leadership, planning, communication, and collaboration skills. Our TPMs are technically strong with deep product and software engineering experience. They are problem solvers who make things happen by setting clear goals and inspiring teams to deliver. TPMs at Lyft are both strategic and tactical, doing what it takes to successfully deliver top-priority programs that have a material impact on the business. This role will support product-facing teams within Rideshare, focusing initially on the Partnerships, Loyalty and Payments organization, where you will be responsible for helping them to create a singular loyalty offering that is accessible, emotional, rewarding, and which makes it simple to choose Lyft. You will collaborate with engineering, product, data science, design, analytics, and operations to drive iterative delivery that delights our riders and drivers. Responsibilities Lead cross-functional product initiatives from ideation through planning, execution, launch, and post-launch — ensuring alignment, accountability, and measurable outcomes at every phase. Provide hands-on support across all phases of the software development lifecycle, including project planning, resource allocation, progress tracking, risk mitigation, KPI ownership and measurement, and leadership communications. Partner with engineering, product, data science, design

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world's largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team Stripe's Financial Connections group is building technology that expands the scope of problems we tackle beyond card payments. We aspire to enable individuals and businesses to securely share their financial data to improve their product experiences. With more high-quality customer financial data, both Stripe and our users can offer better products to their customers. We have ambitious goals to enable all global businesses to run their entire financial life cycle on Stripe, and we want you to be part of our story. Technical Operations roles in Financial Connections are a dynamic and critical component of the organization's success. As Financial Connections TechOps Manager, you will lead a team of Integration Reliability Engineers who sit at the intersection of product and platform engineers, financial partners, and AI automation. Your role is to ensure that nothing is lost in translation: setting the standard for how the team operates, where it invests, and how the operational backbone of Stripe's open banking ecosystem stays reliable at scale. What you'll do Lead integration reliability and partner operations Own the health of Financial Connections' banking integrations at the team level—define what "reliable" looks like across the partner ecosystem, set the operational bar, and hold the team to it Serve as the management escalation point for complex partner issues, coordinating across financial partners, Stripe engineering, and product lea

About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career. About the team We are a brand new team, working quickly to accelerate Stripes engineering productivity by effectively deploying LLM agents and tools to automate large swaths of the engineering workflow. We’re a cross-continent team, spanning North America and Europe - filled with high agency engineers with strong product perspectives. Some examples of what we work on: here and here . What you’ll do You will build the next generation of internal AI coding tools and platforms, to massively accelerate Stripe’s engineering productivity safely and with a clear focus on our users’ needs. Who you are We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. Minimum requirements We’re looking for someone who has: Strong software engineering skills and ability to write high quality code at high velocity 2-5 years of professional hands-on software development experience, able to write well-factored algorithms and have experience with commonly used data structure and algorithms Hands on experience building tools or platforms used by other engineers or internal users Strong collaboration skills, can work across workstreams within your team and contribute to your peers’ success Customer obsession, ability to articulate and represent customer experience in various forums to drive the right outcome Have t

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. About the role The App Runtime team is building a platform that lets every Snowflake user go from an idea to a live, deployed web application (Node.js first) in minutes. We own the end-to-end experience of building and running apps, from Cortex AI-assisted development to deployment in a secure, scalable infrastructure. Apps built on the platform inherit Snowflake's security, governance, lineage, and access controls by default. See Deploy Faster with Snowflake Apps . As a Senior Full Stack Engineer, you will drive initiatives that span our product areas and tech stack. It’s a high-impact role - you will work on an early-stage, public-preview product. Your work will directly shape the product experience developers rely on. This role requires a unique combination of deep hands-on expertise with web frameworks, great UX design instincts, customer obsession and collaboration with backend teams. Responsibilities Build the AI-assisted, agentic development experiences that power App Runtime, spanning the full tech stack - React, Go, Python, and Java Stay deeply hands-on by authoring technical and design specs that consider the system holistically (frontend and backend) and implementing critical code Partner directly with customers, i.e. developers building Snowflake Apps, translati

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Support our team culture by working in the office 4 days a week (Monday - Thursday). This means you’ll have to live within commuting distance of the office you’ll be working in. Snowflake is seeking motivated people with a passion for technology and the drive to build an incredible career in SaaS sales. The Sales Development team plays a critical role in the growth of our organization. Our team works in collaboration with sales and marketing nurturing leads and setting qualified discovery calls that ultimately lead to new business and new revenue. IN THIS ROLE YOU GET TO: Build revenue pipeline by setting introductory meetings with target influencers and key decision makers Research and build new and existing accounts through rigorous outbound calling efforts and by creating/executing strategic email and social campaigns Perform analysis of inbound and outbound prospects’ business and engage with these prospects by phone and/or email Apply effective communication skills, collaborating directly with customers, sales and cross functional teams Work in a fast-pace environment, take the initiative to get stuff done, try new things and amplify your successes by sharing your findings with your team ON DAY ONE WE WILL EXPECT YOU TO HAVE: A passion for technology and software sales

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. AS A SENIOR SOFTWARE ENGINEER YOU WILL: Drive high-impact initiatives that span our product areas and full tech stack, including golang and Python on the backend and TypeScript/React on the frontend. Own and deliver features across the notebook service, container runtimes, and UI — designing and shipping medium-to-large projects independently, from ambiguous problem statements through production and post-launch. Advance core platform initiatives such as runtime management and patching, environment reproducibility and replication, security and compliance, and observability for notebooks. Extend the product to operate reliably in regulated and air-gapped environments, where security, compliance, and operational rigor are paramount. Promote strong collaboration within a cross-functional team and partner closely with embedded product managers and designers, as well as platform organizations across Snowflake Be a strong contributor to the product vision and drive team planning. Build for scale, reliability, and high performance, and participate in the on-call rotation to keep a Tier-1 production service healthy. Mentor, coach, and empower more junior team members, and raise the engineering bar through high-quality design and code review. OUR IDEAL CANDIDATE WILL HAVE: 7+ years o

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Senior Analyst, Customer Performance, Brand-1 Overview Mastercard operates the world’s fastest payment processing network, connecting consumers, financial institutions, merchants, governments, and businesses in more than 210 countries and territories. Every day, everywhere, we use our technology and expertise to make payments safe, simple and smart. We know safety and security are the top priorities of our customers, cardholders and partners, so we won’t stand still in developing new and better ways to keep payments safe. • Do you have experience conducting investigations, reviewing evidence, and documenting case outcomes? • Do you have knowledge of merchant onboarding, monitoring, customer response review, and potential Mastercard Standards violations? • Are you a high performer with strong analytical, documentation, and project management skills? • Are you collaborative, detail-oriented, and able to support credible investigations in a fast-paced environment? Mastercard’s Franchise Brand Performance Team advances ecosystem health and profitability by engaging our customers to optimize performance and to enhance the strength of our brand, acceptance network, and data. Role • Preserve the integrity of the Mastercard brand by conducting investigative case work under the Business Risk Assess

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 We are seeking a proactive, customer-focused IT Support Specialist based in Toronto to anchor our regional IT operations. In this role, you will be the primary point of contact for internal employees, delivering white-glove technical support while managing core identity, collaboration platforms, and SaaS systems. Beyond day-to-day helpdesk operations, this position bridges traditional IT support and modern systems engineering. You will leverage automation, scripting, and modern DevOps practices to streamline user lifecycles, eliminate manual toil, and ensure our workforce operates securely and efficiently. Key Responsibilities Serve as the first point of contact for internal employees, triaging incoming requests through the ticketing system and established support processes. Troubleshoot and resolve workstation, laptop, mobile, and basic network issues for on-site staff and remote employees, escalating more complex support cases to senior staff or the appropriate team. Deliver calm, clear support during high-priority incidents, keep users informed, and document work thoroughly through to resolution. Manage end-to-

About the Role: We're seeking a Director of Product Support Operations to lead the team that runs how Tubi's Tech Org plans, executes, and ships. PSO is a deliberately lean, AI-first team of Technical Program Managers and Customer Experience specialists built around three durable jobs: orchestrating agentic systems, people, and the cross-team programs that land Tubi's most complex initiatives for over 100 million monthly active users. You will own the Tech Org's most complex, company-level programs, spanning live events, platform integrations, monetization, and financial operations, along with the agentic systems that carry the org's operational load. You will also own the customer experience function end to end and run the Tech Org's operating cadences, including planning cycles, executive business reviews, and org-wide communications. You'll work closely with engineering, product, design, data science, and finance leaders as a trusted executive partner. This team consists of builders, not just coordinators. If you're passionate about building with AI rather than coordinating around it, landing complex programs at company scale, and developing world-class talent while staying hands-on yourself, this is the role for you. This is a hybrid role based out of our San Francisco, New York, Los Angeles, or Toronto offices. What You'll Do: Define the multi-year strategy and 12-month roadmap for Product Support Operations, aligning the portfolio with company objectives Lead, develop, and recruit high-performing Technical Program Management and Customer Experience team members, setting a high bar through direct feedback and rigorous performance management Operate as a player-coach: personally design, ship, and maintain agentic workflows and lead high-stakes programs while modeling the builder-TPM standard for the function Own execution of the Tech Org's most complex, company-level programs spanning multiple organizations and external partners, with impact validated by metrics