Strategic Leader in Canada

About the Team The Enterprise Ad Sales Team is responsible for the marketing vision, development and growth of our largest advertising partnerships. This team was recently formed, and is seeking additional founding team members to build an industry-leading ads and promotions business across DoorDash’s core categories, starting with enterprise restaurant and consumer packaged goods (CPG) brands. The growing DoorDash ads business will quickly become the single best place for merchants and brands to market to local customers, in an ecosystem that benefits all parties. You’ll leverage AI-powered insights, data-driven signals, and emerging tools to shape strategy, inform decision-making, identify opportunities, and drive growth across complex, enterprise-level engagements. By integrating AI and data-enabled analysis into day-to-day workflows, you’ll improve prioritization, execution, and business impact while partnering cross-functionally to translate evolving platform and AI capabilities into clear, tangible value for partners and the business. About the Role The Account Manager, CPG will steer the company's efforts in adopting and partnering with major CPGs across our grocery, convenience, restaurant and retail markets. Digital grocery and convenience is expanding, and DoorDash is making meaningful strides to become a leader in this sector. You will build partnerships that create tangible value for both DoorDash and advertisers. In this role, you will manage the ads strategy across a focused portfolio of accounts, and drive adoption of our growing ads and promotions offering. You will also work cross-functionally with account executives, marketing, analytics, and product to innovate on our future approach and solutions. You will report into a CPG Industry Manager in our Enterprise Sales & Business Development organization. You’re excited about this opportunity because you will… Be part of the growing DoorDash Ads & Promos team Lead end-to-end marketing conversa

About the Team The CPG Ad Sales Team is responsible for the marketing vision, development, and growth of our advertising partnerships. This team is rapidly growing, and is seeking additional team members to build an industry-leading ads and promotions business across DoorDash’s CPG offerings. The growing DoorDash ads business has quickly become the single best place for merchants and brands to market to local customers, in an ecosystem that benefits all parties. About the Role As the Industry Manager, CPG, you will lead a team of Account Executives and Post Sales Managers to build partnerships that create tangible value for both advertisers and DoorDash. In this role, you will manage the ads strategy across a portfolio of CPG brands (may include subcategories of alcohol, personal care, household, beverages, sweets, snacks, pantry, fresh, frozen, pets), and drive adoption of our growing ads and promotions offering. You will work cross-functionally with strategy, operations, marketing, analytics, and product, to innovate on our future approach and solutions. You will report into the Head of CPG Advertising Sales, in our Sales & Business Development organization. You’re excited about this opportunity because you will… Successfully lead and develop a team of Account Executives and Post Sales Managers to consistently exceed business growth and product/feature adoption goals, grow advertiser value, and drive sustainable revenue for DoorDash Establish trusted senior level customer relationships and deliver thought leadership both internally and externally in the CPG industry Represent advertiser needs to influence our Ads & Promos product roadmap and go to market strategy Develop sales materials and sales processes to enable future scale of the team and business Develop annual and quarterly sales plans and analyses to achieve ambitious goals and and help customers meet their business and marketing objectives We’re excited about you because… You ha

About the Team The Merchant (Mx) AI/ML team is a cornerstone of DoorDash’s merchant organization. We empower our restaurant partners to thrive on DoorDash by building intelligent, scalable AI systems that simplify operations, elevate their digital presence, and enhance customer engagement. Our world-class machine learning engineers develop production-grade AI solutions that power the entire merchant lifecycle — from onboarding and store setup to menu management, growth, and real-time order operations. The team is deeply customer-obsessed and impact-driven, focused on turning cutting-edge research in LLMs, multimodal learning, generative AI, and agentic automation into products that make our merchants more successful every day. About the Role We’re looking for an Engineering Manager to lead the Mx AI/ML team, driving the design and deployment of next-generation AI product solutions that power our merchant experiences. This is a highly cross-functional leadership role — you’ll collaborate with product, design, operations, and data science teams to define the AI roadmap, guide technical direction, and deliver end-to-end AI/ML solutions at massive scale. You’ll lead a team of talented ML engineers who are building real AI products delivered to merchants’ fingertips, helping them become more successful on DoorDash. You’re excited about this opportunity because you will… Lead and grow a team of exceptional AI/ML engineers developing production-grade machine learning and generative AI solutions for the merchant ecosystem. Define a multi-year strategy and execute the AI roadmap across key Mx pillars — Onboarding, Menu Media Understanding & Generation, Menu Metadata Intelligence, and Agentic Task Automation. Partner with product and operations to translate merchant pain points into scalable AI-powered solutions. Own the end-to-end lifecycle of ML systems — from ideation and experimentation to productionization and continuous improvement. Drive innovation in multimodal AI

About the Team U.S. businesses spend over $100 billion annually on food for employees and customers. DoorDash for Business is a standalone vertical within DoorDash, focused on building meal procurement solutions for companies. DoorDash for Business uses DoorDash's global marketplace, selection, and infrastructure, to offer a compelling enterprise offering to employers at Fortune 1000 companies. As the Manager, Enterprise Sales, you will lead a team of Enterprise Account Executives who are responsible for acquiring new Enterprise customers in the US. You will partner with marketing, finance, legal, sales operations, and product to build your strategy. About the Role You will be responsible for managing a team of ~8 Enterprise Account Executives and help them build pipeline and drive net new customer acquisition strategies across the US. Additionally, you will be a key driver for one of DoorDash’s growth verticals and have the ability to grow your team and career. As such, you’ll be in a high impact role where you’ll work extensively with cross-functional teams to execute on growth and operational initiatives. Working alongside large to mid-size brands, you’ll have the opportunity to shape the future of DoorDash’s Enterprise business. You will report to the Director, Pre-Sales, DoorDash for Business to work on a strategy and hit revenue targets. We are looking for a sales professional who can coach and develop talent, hire and help to win business. You have experience with SaaS platform products, leadership, sales, forecasting and building prospecting strategies. You’re excited about this opportunity because you will… Lead: Lead a team of Enterprise Account Executives that attract new Enterprise customers, while taking a people first approach to attract outstanding talent and support the personal development of members in your organization. Build: You'll have your fingerprints all over DoorDash's next big business. You'll use your curiosity and other skill

GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As a Revenue Technology Analyst on GitLab's Revenue Technology team, you'll help support and maintain the tech stack that powers our go-to-market teams. As our Revenue organization continues to grow, you'll help execute the workflows, standards, and ways of working that make it easier for teams to do their best work. You'll partner with Revenue Operations, Pre- and Post-Sales Strategy, Enablement, IT, and beyond to help identify process gaps, support integrations and automations, and translate business needs into technical solutions. You'll also help build and maintain a strong documentation and knowledge

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Data Science is at the heart of Lyft’s products and decision-making. Data Scientists at Lyft operate in dynamic environments, moving quickly to build the world’s best transportation solutions. We tackle a wide range of challenges - from shaping long-term business strategy with data, to making critical short-term decisions, to developing algorithms and models that power both internal systems and customer-facing products. Driver Incentives Science owns the algorithms and systems behind incentive design, influencing driver engagement and marketplace efficiency — from real-time supply positioning to longer-horizon earnings and engagement programs. The team is responsible for designing pay and incentive mechanisms that are efficient and good for driver experience over the long run. As a Data Scientist specializing in Algorithms, you'll partner closely with product, engineering, and operations leaders to build and scale incentive systems, shape long-term mechanism design strategy, and deliver on critical business goals tied to marketplace efficiency and driver earnings. Candidates with strong optimization backgrounds — think mathematical programming, control theory, or operations research — are a great fit, though we welcome strong candidates from machine learning or causal inference as well. The ideal candidate thrives in a fast-paced environment and brings a hands-on, entrepreneurial mindset to drive results. Responsibilities: Collaborate with engineering and product teams to design, implement, and iterate on new features and algorithmic improvements for driver incentives and pay mechanisms. Design, develop, and deploy optimization models, algorithms, and systems for problems such as budget allocation, multidimensional cost-curve development, and incentive targeting. Write production model code; collabor

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Data Science is at the heart of Lyft’s products and decision-making. Data Scientists at Lyft operate in dynamic environments, moving quickly to build the world’s best transportation solutions. We tackle a wide range of challenges - from shaping long-term business strategy with data, to making critical short-term decisions, to developing algorithms and models that power both internal systems and customer-facing products. Driver Incentives Science owns the algorithms and systems behind incentive design, influencing driver engagement and marketplace efficiency — from real-time supply positioning to longer-horizon earnings and engagement programs. The team is responsible for designing pay and incentive mechanisms that are efficient and good for driver experience over the long run. As a Data Scientist specializing in Algorithms, you'll partner closely with product, engineering, and operations leaders to build and scale incentive systems, shape long-term mechanism design strategy, and deliver on critical business goals tied to marketplace efficiency and driver earnings. Candidates with strong optimization backgrounds — think mathematical programming, control theory, or operations research — are a great fit, though we welcome strong candidates from machine learning or causal inference as well. The ideal candidate thrives in a fast-paced environment and brings a hands-on, entrepreneurial mindset to drive results. Responsibilities: Collaborate with engineering and product teams to design, implement, and iterate on new features and algorithmic improvements for driver incentives and pay mechanisms. Design, develop, and deploy optimization models, algorithms, and systems for problems such as budget allocation, multidimensional cost-curve development, and incentive targeting. Write production model code; collabor

JLL empowers you to shape a brighter way . Our people at JLL are shaping the future of real estate for a better world by combining world class services, advisory and technology for our clients. We are committed to hiring the best, most talented people and empowering them to thrive, grow meaningful careers and to find a place where they belong. Whether you’ve got deep experience in commercial real estate, skilled trades or technology, or you’re looking to apply your relevant experience to a new industry, join our team as we help shape a brighter way forward. ****This role must be on site in either San Francisco, Chicago or NYC**** The Opportunity The Global Account Director is accountable for developing and implementing an account plan which will delight our clients and ensure a healthy long-term relationship. This executive leader anticipates client needs and delivers to exceed the key performance indicators within the contract and builds financial plans while striving to maximize revenue and profitability. The Account Director builds and sustains high-performing teams which not only deliver operational excellence but keep employees engaged and thriving. In conjunction with the Work Dynamics leadership team, the Account Director understands the firm's strategy and goals and can translate those into business opportunities. This is the top leadership role on the account. Primary Responsibilities: Exceeding Client Expectations Create an account plan which ensures alignment of objectives, drives results and helps to secure a future with no-bid contract renewals Drive account growth by articulating our value proposition and ensuring expansion of services provided across Integrated Facility Management (IFM), Property and Development Services (PDS), lease administration, and subtenant management Establish outstanding relationships with k

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 an Analyst to join our Business Forecast & Planning team within Customer Care Operations. This role owns the forecasting, capacity, and scheduling models that keep our global support workforce sized and staffed correctly. You'll work hands-on with our BPO partners to translate demand signals into staffing plans, and bring deep contact centre planning expertise to a team managing support at scale across multiple sites and geographies. Responsibilities: Support the development and upkeep of the models and frameworks that connect business drivers to staffing and resourcing decisions Translate large, complex, and sometimes ambiguous data into clear, actionable insights that support leadership recommendations Own day-to-day planning execution, from dashboards maintenance and reporting to business reviews, with a sharp focus on accuracy and the details that matter Leverage AI tools to build and maintain dashboards, reports, and analyses that support the team's recommendations and insights Identify and help drive opportunities to improve how the team plans and operates Move quickly on ambiguous, time-sensitive requests, using modern tools to work smarter and faster Experience: 2+ years in planning, forecasting, capacity/resource management, or a related analytical role; consulting, investment banking, FP&A, or ops strategy backgrounds also fit well Sharp analytical mindset with hands-on SQL and Python skills AI fluency, comfortable using AI tools to accelerate analysis and problem-solving Strong business acumen paired with genuine curiosity about how large, complex business systems work; fast learner with a bias towards action, comfortable building context quickly across new systems and stakeholders Self-directed, with a track record of turning data into real decisions; strong commun

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 Revenue Strategy and Operations Team Revenue Strategy & Operations sits at the heart of our organization, driving operational excellence across our entire revenue organization. As part of Okta's Business Operations team, we amplify the impact across our rapidly growing Sales, Presales, Customer Success, Technical Account Management (TAM), and Renewals organizations by ensuring each function has the insights, tools, and processes to run effectively and efficiently. The team establishes rigorous standards and processes, and scales customer-centric operations to support our growth targets across the entire customer lifecycle. The Customer Success Operations Manager Opportunity In this role, you will design, refine, and continuously optimize our Customer Success Management Systems, bridging the gap between corporate strategy and regional execution to maximize Net Revenue Retention (NRR). You'll establish operations rigor and standards across the CX organization, ensuring that global and local standards are consistently adhered to while supporting growth objectives. You’ll be the primary operational partner to the AMER VP of Customer Success and senior CX leadership, and will also coordinate with adjacent teams including Technical Account Management (TAM), Renewals, Support, and Professional Services. This is an ideal opportunity for an experienced, highly collaborative operations professional with exceptional analytical skills and a growth mindset to ma

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 Role + Team The Security Engineering team builds the identity and access control plane governing how employees, services, and agentic workloads access Robinhood’s critical infrastructure. We are a platform-building engineering team focused on creating secure, frictionless, and automated self-service access systems at scale. As a Staff Software Engineer on this team, you will shape Robinhood’s foundational identity architecture, define technical strategy, and build Tier-0 access infrastructure used across the entire company! From solving complex authentication and authorization challenges to setting secure guardrails for emerging AI and agentic workflows, your technical leadership will directly impact every product team at Robinhood! What You'll Do Access Control Plane Architecture: Define and build the core technical architecture for managing employee, service, non-human, and agentic access across company-wide resources Tier-0 Platform Engineering: Design, build, and operate highly available, resilient, and observable backend identity infrastructure using Go, Python, Rust, or comparable systems languages. AuthN & AuthZ Solutions: Implement modern identity protocols and access frameworks (OAuth 2.0, OpenID Connect, RBAC, ABAC, and policy-based access controls). AI & Agentic Access Governance: Develop secure access patterns, identity frameworks, governance, and observability guardrails for AI agents, LLM applications, and Model Context Protocol (MCP) systems. Self-Service Developer Experience: Create automated, developer-friendly platforms that allow teams to request, approve, provision, and audit access without ma

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 & Analytics is at the heart of Lyft's products and decision-making. The Rider Experience team sits at the center of how millions of riders discover, choose, and return to Lyft. We are hiring a Data Science Manager to lead our Toronto-based science & analytics team that turns rider behavior into product strategy. This role owns the analytical foundation behind our most consequential rider-facing decisions: how we measure experience quality, where friction costs us retention, and which bets move rider LTV. You will set the measurement and experimentation standards for rider product squads, and translate ambiguous business questions into rigorous, decision-ready analysis that shapes roadmap and investment. You will also lead the team's transition to AI-native data science and analytics workflows, embedding AI tooling into how we explore data, make decisions, and ship products. Responsibilities: Lead and grow a high-performing team of data scientists and analysts with diverse backgrounds Define and drive the data science vision, strategy, and roadmap, aligning with business and product objectives to improve market competitiveness and rider experience Provide strong technical guidance and coaching to the team on complex data science problems Champion data-driven decision-making and prioritization by partnering with product managers, engineers, marketers, and leaders to translate insights into decisions and action Lead deep-dive analyses into large-scale datasets to identify opportunities for improving rider app experience and overall rider product health Ensure robust experimentation and causal inference methodologies are applied to measure the impact of new features and strategies Mentor and guide the professional and technical development of your team members; help develop the

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 Development team is building the infrastructure for how Lyft grows, develops, and equips its people. As Technical Learning Manager, you will own the strategy and execution of technical learning programs for Lyft's Engineering, Science, Product, and Design organizations — one of our highest-leverage investments in people. This role sits at the intersection of learning design, program management, and functional excellence across the technology organizations. You will inherit an established portfolio of programs for software engineers — including Tech Learning, compliance training, and documentation initiatives — and will be responsible for running, evolving, and expanding them across all of Lyft’s tech orgs. You will report to the Head of People Development and work closely with Functional excellence leadership, HRBPs, and cross-functional partners to ensure our technical learning programs are high-quality, well-adopted, and tied to real business outcomes. Responsibilities: Program Ownership Own the strategy and execution of Lyft's technical learning portfolio, including engineering continuing education programs, documentation improvement initiatives and compliance training Manage mid-cycle programs with active stakeholder relationships and scheduled commitments — ensuring continuity, quality, and follow-through Provide editorial oversight for Lyft's internal technical content initiatives, including the Tech Blog — managing workflow, stakeholder relationships, and publication processes in partnership with engineering contributors Assess the current program portfolio and make recommendations grounded in engineer needs and business priorities Provide engaging learning experiences that empower technologists to do their best work at Lyft Embed AI upskilling in all programs including

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 Infrastructure builds the systems to ship stable, scalable, and efficient services. We're hiring a Senior Technical Program Manager to lead our AI transformation in developer productivity: rethinking how engineers at Lyft work with AI, from tooling and agentic workflows to the platforms that make them possible. This role blends program delivery with product sense: you'll own the roadmap for your area, set priorities, and act as the voice of the customer. Responsibilities: Lead Lyft's AI transformation in developer productivity: shape the strategy for how AI enhances engineering workflows, from adoption of tools like Cursor, Copilot, and Claude Code to building AI-native workflows and agentic tooling for engineers Own the roadmap: sequence the work, make the prioritization calls, and define what success looks like for AI-driven engineering productivity at Lyft Partner with engineering teams to build AI-native workflows that solve real developer pain, not just deploy tools for the sake of it Run programs end to end, from kickoff through delivery, coordinating across infrastructure, developer platforms, and engineering leadership Be the voice of the customer: partner with engineering teams across Lyft, surface their pain points, and feed that back into priorities and roadmaps Define success metrics and adoption goals, gather and document customer requirements, and make sure what ships actually solves the problem Partner with engineering and infrastructure leads to build plans, call out risks early, and keep stakeholders aligned Own program health: track milestones, surface blockers before they slip, and keep decision-makers in the loop Use your technical background to ask sharp questions and build plans the team believes in Share in the team's release oncall rotation Experience: 5+ years in Technic

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Difference You Will Make: We are seeking a dedicated and enthusiastic candidate to provide exceptional Customer Service management to the Airbnb community as a Supervisor. The ideal candidate is hospitable, analytical, and committed to delivering the highest standards of service through coaching and upleveling their team. The Supervisor supports one or more internal CS services. The Supervisor is an operational leadership role that requires substantial experience in customer service and team management. Supervisors oversee teams of approximately 10-15 ambassadors and should have the ability to guide and uplevel their ambassadors, demonstrating top-level customer service skills. Strong organizational skills and the ability to balance real-time and planned work are also required. They should also be adaptable and responsive in our fast paced environment, sometimes under pressure, while remaining flexible, proactive, resourceful, efficient and demonstrating a high level of professionalism and confidentiality. A Typical Day: Oversee a strong operational environment for your teams and ensure high quality support for the community from your team Manage the team execution of complex, sensitive, and/or urgent issues that might pose a significant risk to our brand or community, including acting as the highest escalation point for case consults and high level escalations from other stakeholders Meet with your direct reports regularly to review their work and provide high quality, behavior-based coaching; must be able to create a performance development strategy/plan for your service(s). Provid