Go To Market Sales Enablement in Canada

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. You will leverage data and rigorous, analytical thinking to shape our products and make business decisions. This will involve identifying and scoping opportunities, shaping team priorities, recommending and implementing technical solutions, designing experiments, and measuring the impact of new features. The Airports team, within the Driver organization, focuses on the airport marketplace and the unique products designed for this use case. Airports are one of the most important, impactful, and complex parts of Lyft’s Rideshare business, as they are a key part of both the rider and driver Lyft experience and have unique dynamics. As a Data Scientist on the Airport team, you will collaborate with our team of engineers, product managers, and designers to think critically about the current rider and driver experience and implement product enhancements to facilitate market growth. The ideal candidate can apply strong business acumen to propose product changes, develop end-to-end technical solutions, and is comfortable working with a highly cross functional team. In this role, you will help us tackle problems such as: What rider segments are present at airports and how can we address their major pain points to grow our airport marketshare? What new airport product features can we introduce to grow rider demand? Are we able to forecast rider demand and use this prediction to adjust ride offerings or improve the rider experience? How can we optimize ride offerings for each rider to maximize conversion? Responsibilities Define and implement decision frameworks, measurement strategies, and scientific methodologies that bring consistency and rigor to business decisions and forecasts, balancing opportunity and uncertainty Desi

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. Robinhood’s mission has always been to democratize finance for all. With the launch of Robinhood Ventures, we’re taking a bold step forward - bringing access to private market investing to everyone, not just accredited investors. This new product line is designed to unlock opportunities traditionally limited to a select few, helping more people participate in the growth of private companies. As a Deal Lead for Robinhood Ventures , you will be at the forefront of sourcing and executing high-impact investments for our flagship publicly traded fund. You will be responsible for identifying new opportunities, conducting thorough financial and operational diligence, and supporting closing transactions in a competitive market. You will manage the full investment lifecycle—from sourcing and evaluation through investment committee materials, negotiation support, and portfolio engagement. This role reports to the Head of Robinhood Ventures and offers a rare opportunity to help shape a new product from its early stages while contributing to long-term platform growth. This role is based in our Menlo Park, CA office, with in-person attendance expected at least 3 days per week

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 Marketplace organization drives Lyft’s business growth and ensures our marketplace performs reliably and efficiently. Within Marketplace, the Market Insights team is responsible for the health and growth of Lyft’s top regions. We are looking for an analyst to join the Market Insights team to identify key opportunities in these regions and influence strategy across the company. From long-term strategic decisions to weekly agile operations, you will own a range of business-critical work. You will identify our marketplace’s most critical gaps, create business and product strategies to address them, and partner with cross-functional teams to deliver impact. The ideal candidate is proactive, has strong analytical capabilities, and can collaborate effectively across teams. Responsibilities: Become an expert in rideshare marketplace behaviors/trends and support leadership in data-informed business strategies and decisions Leverage data and analytics to identify problems and opportunities in Lyft’s top regions, synthesize the trends and insights, and recommend action plans Operate within rideshare decision-making frameworks with a critical lens, evaluating areas of improvement and business growth opportunities Partner with Data Science, Product, Engineering, and other teams to deliver business, product, and strategy improvements Be proactive in pursuing opportunities and have a true ownership mindset to get things done Experience: Bachelor’s degree with a focus in analytics, statistics, economics, finance, marketing, or other quantitative fields 3+ years experience in management consulting, strategic data science/analytics roles in a technology company, or an equivalent analytical role in a high growth startup Experience analyzing data, extracting key insights and trends, and producing

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 Marketplace organization drives Lyft’s business growth and ensures our marketplace performs reliably and efficiently. Within Marketplace, the Market Insights team is responsible for the health and growth of Lyft’s top regions. We are looking for an analyst to join the Market Insights team to identify key opportunities in these regions and influence strategy across the company. From long-term strategic decisions to weekly agile operations, you will own a range of business-critical work. You will identify our marketplace’s most critical gaps, create business and product strategies to address them, and partner with cross-functional teams to deliver impact. The ideal candidate is proactive, has strong analytical capabilities, and can collaborate effectively across teams. Responsibilities: Become an expert in rideshare marketplace behaviors/trends and support leadership in data-informed business strategies and decisions Leverage data and analytics to identify problems and opportunities in Lyft’s top regions, synthesize the trends and insights, and recommend action plans Operate within rideshare decision-making frameworks with a critical lens, evaluating areas of improvement and business growth opportunities Partner with Data Science, Product, Engineering, and other teams to deliver business, product, and strategy improvements Be proactive in pursuing opportunities and have a true ownership mindset to get things done Experience: Bachelor’s degree with a focus in analytics, statistics, economics, finance, marketing, or other quantitative fields 3+ years experience in management consulting, strategic data science/analytics roles in a technology company, or an equivalent analytical role in a high growth startup Experience analyzing data, extracting key insights and trends, and producing

About the Team The Analytics team is looking for Data Scientists to guide measurement, strategy, and tactical decision-making using Advanced Analytics approaches, as we expand our platform across the globe. Data Scientists at DoorDash work to uncover insights and turn them into actionable recommendations, helping drive decisions for the entire organisation. Analytics is very integral to all operational areas at DoorDash. About the Role Data Science at DoorDash involves diving deeper into our data to solve crucial business problems, ideate & run experiments to solve for insights gleaned from this deep dive and work with a cross-functional team to drive real-world operational change. This is a rare operational and actionable data-driven experience. We solve many exciting challenges from all three sides of our marketplace including customer acquisition, balancing supply and demand, fraud and support, marketing, marketplace efficiency, and more. If you enjoy finding patterns amidst chaos, are excited to build a market from 0 to 1, and have experience using analytics to affect revenue, growth, operations or beyond, we're looking for someone like you! You're excited about this opportunity because you will… As a senior Individual Contributor, mentor and influence junior Data Scientists in investigating complex issues and uncovering key drivers of our business Influence the Product and Operations roadmap by making actionable recommendations based on data Interface frequently with senior leadership to showcase your team’s work and tackle complex business problems Drive measurement strategy for the area under scope, defining success metrics and implementing best practices around experiment design and statistical analysis Develop a strategic learning roadmap based on data observations, strategic questions, and hypotheses We're excited about you because you have… A degree in Math, Physics, Statistics, Economics, Computer Science, or a similar domain 8+ years of experi

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, changing the way we live and move within our communities. The Lyft Business team partners with organizations across various industries, enabling them to provide the world’s best transportation solutions—ranging from business travel and employee commute to courtesy rides for customers and clients. Lyft is looking for a Business Strategy Manager to accelerate the growth of Lyft Business in new and existing markets, and shape our role in partnering with organizations to deliver tailored transportation solutions. This role is both analytical and strategic, requiring a forward-thinking mindset to tackle complex business problems. You will work collaboratively across the Lyft Business organization, as well as with cross-functional teams, making it crucial to build consensus and support to achieve segment-level goals. You are a good fit if you are a self-starter with B2B strategy experience. An analytical mind and skill set are critical; the role requires understanding how to parse and frame data to guide our strategic direction. You must be forever curious and ready to join a high performing team with big goals. Responsibilities: Identify new use cases and market segments to define the next generation of B2B transportation solutions, positioning Lyft Business for long-term, durable growth Develop comprehensive business cases, including market sizing, competitive analysis, financial forecasting, and risk assessments Monitor key industry trends and competitive landscape to ensure Lyft Business remains at the forefront of the market Source and develop B2B partnerships end-to-end - from opportunity assessment and commercial model through cross-functional launch - to open new growth channels for Lyft Business Analyze key business metrics and performance indicators u

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. We are looking for an experienced and highly motivated Data Scientist to join the Central Market Management team and lead key initiatives that enhance the quality of our overall decision-making. You’ll work cross functionally with other Data Scientists, Data Analysts, Product Managers, and Finance partners to make sure we are making the most financially efficient decisions to scale our business. You will identify gaps in our operational processes and measurements, and work to create strategies, frameworks, and models to help address them and deliver impact. Responsibilities Leverage data and analytical frameworks to identify opportunities for improving operational efficiency Define and implement decision frameworks, measurement strategies, and scientific methodologies that bring consistency and rigor to business decisions and forecasts, balancing opportunity and uncertainty Deliver integrated, high-quality analytical outputs spanning multiple projects while navigating ambiguity, cross-team dependencies, and open-ended scope Define and implement a robust attribution framework to evaluate the performance of high-stakes decisions Act as a technical lead, guiding other Data Scientists and fostering a culture of analytical excellence Write efficient, clean, production-level code (Python, SQL), ensuring reproducibility, documentation, and long-term maintainability of analytical assets B

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. As an Applied Scientist specializing in Machine Learning and Operations Research on this team, you will develop mathematical models and launch algorithms that power these key pricing and ETA decisions. You will leverage your skills to build ML and optimization models and productionalize pipelines that can scale to millions of calls per day while solving critical business problems that have a big impact on the marketplace and rider experience. You will get exposure to a diverse set of real-world problems across optimization, prediction, machine learning, and inference and collaborate closely with teammates and stakeholders across Pricing, from Product Managers to Engineers and Analysts. We are looking for someone who is excited about working in a fast-paced, innovative, and impactful environment, and is adept at balancing complexity and efficiency to translate real world business problems into reliable solutions, systems and decision frameworks. Responsibilities Partner with Data Scientists, Engineers, Product Managers, and Business Partners to frame problems mathematically and within the business context Write production quality code. Design, build and deploy production-grade ML and Optimization models. Able to build custom methods and tooling beyond off-the-shelf libraries. Perform data analysis and build proof-of-concepts to explore and propose ML and Optimization solutions to both new and existing problems. Evaluate machine learning systems against business goals. Collaborate with Engineers to implement algorithms in live systems and ensure the robustness of the systems Establish metrics and development measurement methodologies to monitor the health of our products, as well as the impacts on user and marketplace outcomes Drive collaboration and coordination with cross-functional teams

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 looking for experienced software engineers from a variety of disciplines. We are growing our team with people who want to build, improve and incorporate technologies that make the lives of our community more enriched. 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 Senior Software Engineer on the Marketplace team, you will lead work streams to improve business operations in Lyft’s Marketplace. You'll design AI driven data analytics platforms, data pipelines and metric governance systems that our business leaders use on a daily basis to make key strategic decisions. You will partner with business leaders and data scientists across our organizations to enable running the business more efficiently. Responsibilities: Help define the roadmap and architecture based on technology and business needs Drive AI innovation for business analytics and operations Write well-crafted, well-tested, readable, maintainable code Have a good grasp and ability to explain the various tradeoffs made in decisions Participate in code reviews to ensure code quality and distribute knowledge Lead projects from idea to positive execution Incorporate considerations for business context and failure modes in your work Proactively participate in resolving ongoing incidents Unblock, support, effectively communicate, and obtain buy-in across teams to achieve results Share your knowledge by giving brown bags, tech talks, and evangelizing appropriate tech and engineering best practices Experience: 5+ years of software engineering industry experience with a high level programming language (bonus points for experience with Python or Go) AI Experience in Agen

Want to work in technology at an investment bank? Graduate training, ongoing support, opportunities at leading global employers – the Alumni graduate program gives you everything you need. (And don’t worry, there’s no training bond. No exit fees, no hidden catches).Here at mthree, we pair great graduates with brilliant global businesses. Our clients include tier one investment banks and other organizations across a range of industries, from insurance to healthcare to travel.This is an exciting opportunity to join an FX Front Office support team in a major North American bank working on the Toronto Trading floor, supporting both front office users and a progressive eFX programme. What you'll do: Support IT solutions for various business lines globally including FX, Money Market, STIR and Options Offer technical expertise and support for the systems used Manage and resolving incidents and outages Manage requests for changes, system releases and capacity planning Disaster recovery, planning and execution How the Alumni program works: Apply via this job advert. Complete our assessment process. Get trained at mthree Academy in an online class for 4-8 weeks with other graduates. Join a mthree client for 12-24 months while receiving support and salary increases every 9 months. The vast majority then convert to permanent employees with the client at the end of the program. What you’ll learn at the mthree Academy: How to discuss production support activity at a high level including ITIL (information technology infrastructure library), monitoring, DevOps, SRE (site reliability engineering), and disaster recovery. How to discuss common financial topics, including financial markets, equity trading, derivatives, currency, treasury, regulation, and risk. How to write a basic computer program in Python, including user input, common data structures, and flow of control. How to use MySQL to perform CRUD (create, read, update and delete) operations on a relational database stored in

Want to work in technology at an investment bank? Graduate training, ongoing support, opportunities at leading global employers – the Alumni graduate program gives you everything you need. (And don’t worry, there’s no training bond. No exit fees, no hidden catches).Here at mthree, we pair great graduates with brilliant global businesses. Our clients include tier one investment banks and other organizations across a range of industries, from insurance to healthcare to travel.This is an exciting opportunity to join an FX Front Office support team in a major North American bank working on the Toronto Trading floor, supporting both front office users and a progressive eFX programme. What you'll do: Support IT solutions for various business lines globally including FX, Money Market, STIR and Options Offer technical expertise and support for the systems used Manage and resolving incidents and outages Manage requests for changes, system releases and capacity planning Disaster recovery, planning and execution How the Alumni program works: Apply via this job advert. Complete our assessment process. Get trained at mthree Academy in an online class for 4-8 weeks with other graduates. Join a mthree client for 12-24 months while receiving support and salary increases every 9 months. The vast majority then convert to permanent employees with the client at the end of the program. What you’ll learn at the mthree Academy: How to discuss production support activity at a high level including ITIL (information technology infrastructure library), monitoring, DevOps, SRE (site reliability engineering), and disaster recovery. How to discuss common financial topics, including financial markets, equity trading, derivatives, currency, treasury, regulation, and risk. How to write a basic computer program in Python, including user input, common data structures, and flow of control. How to use MySQL to perform CRUD (create, read, update and delete) operations on a relational database stored in

About Eve Eve is redefining legal technology for plaintiff law firms, and we're building the team that will take us there. We help firms handle more cases, recover more for clients, and grow with AI that works across every stage of a case, from intake through resolution. The next generation of great plaintiff firms will be AI-Native, and Eve is how they get there. But what makes Eve different isn't just the product. It's how we build it. If you're someone who takes ownership, stays curious, and wants to build AI that's already changing how law is practiced, this is where you belong. Product-market fit: Eve is trusted by over 1000+ law firms, and we’re growing fast. Backed by top investors: We’ve raised over $160M from world-class partners including Spark Capital, Andreessen Horowitz(A16z), Menlo Ventures, and Lightspeed. Built by a world-class team: Engineers, designers, and operators from places like Scale, Meta, Airbnb, Cruise, Square, Rubrik, and Lyft are building Eve from the ground up. AI-Native from day one: We’re on the bleeding edge of AI, collaborating directly with teams at OpenAI and Anthropic to build best-in-class AI workflows tailored for legal work. Explosive growth: We are growing 2X revenue Quarter over Quarter. About the role: Design at Eve is at an inflection point. We've shipped a product that 1,000+ law firms use every day — and we're now building the design team to match our ambition.You'll own complex product surfaces end to end, partner closely with product and engineering to shape direction, and help raise the bar for how design works across the org. We're a team-first group and co-create together. Design at Eve is AI-first. The workflow moves from LLM to code prototype to Figma/the tool of your choice. We want designers who already work this way, or who are ready to make it their default What you’ll do: Own the full arc of design work. You define the problem, shape the approach, push back when the framing can be better, and stay

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 product managers who bring exceptional creative and analytical skills to drive forward a best in class product. Product management at Lyft leads the integration of engineering, data science, and design to achieve the company's vision for reinventing transportation. We are looking for entrepreneurial and passionate Product Managers to innovate and execute across a rapidly growing, fast paced company and industry from our San Francisco and New York offices. The Customer Care team makes sure that every time Lyft enters a new market, launches a new mode, or works with a new partner, riders and drivers get the support experience they expect from day one. Some of Lyft's biggest growth bets run straight through this work: expanding into new countries, putting riders into autonomous vehicles with partners like Waymo and May Mobility, and standing up entirely new lines of business. This role owns customer care across these initiatives: shaping the support experience for each, and building the platform, playbooks, and standards that let us launch the next one faster than the last. You'll work hand in hand with the internal & external teams leading each initiative, bringing a strong, independent point of view on what great customer care takes. It's high-visibility work tied directly to where Lyft is growing next. Responsibilities: Own the customer care and support experience for Lyft's highest-priority growth initiatives—spanning international expansion, autonomous vehicles, and new lines of business Partner closely with the internal teams leading each initiative, folding customer care into the broader launch and bringing a strong, independent point of view on what great support requires

About Dialpad Dialpad is the AI platform for customer experience, built to resolve customer problems in real time across voice and digital. Our AI agents learn from your best human agents and improve with every interaction, helping organizations understand their customers, deliver better experiences, increase operational efficiencies, and build a lasting competitive advantage. Unlike legacy systems built to route and answer, or standalone agentic bot vendors built to deflect, Dialpad was built to resolve. Our AI agents and human agents operate on a single platform with shared context, allowing Agentic AI to resolve issues, advance deals, and eliminate busywork through automation while seamlessly handing conversations to humans when needed, with full context preserved. Market-leading brands, including Randstad, Motorola Solutions, Netflix, the San Diego Padres, the Colorado Rockies Baseball Club, and Cal Athletics, trust Dialpad. Dialpad is backed by Andreessen Horowitz, GV, ICONIQ Capital, and T-Mobile. Being a Dialer At Dialpad, AI isn’t just a feature; it’s how our teams do their best work every day. We put powerful AI tools in every employee’s hands so they can move faster, think bigger, and achieve more. We believe every conversation matters. And we’ve built the platform that turns those conversations into insight and action, for our customers and ourselves. We look for people who are intensely curious and hold themselves to a high bar. Our ambition is significant, and achieving it requires a team that operates at the highest level. We seek individuals who embody our core traits: Scrappy, Curious, Optimistic, Persistent, and Empathetic . Your Role As an AI Engineer on our Speech Team, you'll own the back-end implementation and linguistic optimization of the voice ( TTS ) layer for our next-generation AI agents. You'll work squarely within our Speech Team, a high-impact R&D and engineering group focused on speech recognition, enhancement, and synthesis;

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. Lyft is North America’s leader in micromobility. We provide the software that powers BIXI, and we own and/or operate bikeshare in New York (Citi Bike), Chicago (Divvy), San Francisco (Bay Wheels), Portland (Biketown), Boston (BlueBikes), and DC (Capital Bikeshare). Our software is used in over 45 markets to power bike and scooter systems, increasing our reach beyond the markets we operate directly. We are looking for a passionate Product Designer to join our Montreal office to work on Lyft’s micromobility Operations Technology team. As a member of the Operations Technology team, you’ll be responsible for evolving the platform that drives the global on-the-ground operations of our business. You’ll be designing features that are used in warehouses, vans, & on-the-ground to make our transportation systems some of the most reliable in the world. You’ll confront complex technical challenges & advocate for experiences that delight our operators and promote efficiency. Our Montreal office developed the first automated bikes-share system in North America and continues to work on the platform today that provides state-of-the-art electric bikes and scooters for tens of millions of rides per year. As a product designer at Lyft, you will be involved at every step of product development, from brainstorming broad ideas to ensuring design quality through launch. Using your full range of interaction, visual, and product thinking skills. As a product designer on the Lyft Urban Solutions team you will own the design of features within the core rider experience for our bike and scooter riders, within the Lyft app and our market specific apps. In a lot of ways, we function as a startup, meaning we all wor