Jobs in Canada

Team Lead Issue Receipt Scraps in Canada

1,087 active opportunities · Updated October 2026

Explore current team lead issue receipt scraps jobs across Canada. Filter by work mode, employment type, experience, department, date posted and distance.

DU
📍 San Francisco, Canada· Full-time· Remote
✓ High-confidence listing

From $1.1M/yr

Quick readStrong listing-quality and freshness signals

About the Team The Sales Analytics team at DoorDash is responsible for getting the right information and insights out to drive our business goals. As DoorDash grows both in scale and breadth of offering, the strength of our sales engine and organizational structure must grow with it. About the Role You will be focused on partnering with our sales & strategy teams, who help solve pain points for small business (SMB) merchants on the Doordash platform through various methods such as new product adoption. You will lead analyses to guide our sales team with data-driven insights to unlock growth opportunities within their accounts. This cross-functional role will partner with sales, operations, product, and strategy teams. You will report into a Senior Manager on our Sales Analytics team, which is part of our Sales Operations organization. You’re excited about this opportunity because you will… Strategize – Devise and execute initiatives against the overall sales org strategy for “winning the merchant” while managing stakeholders across multiple lines of business Experiment – Use data-driven decision-making and sound business judgment to run sales tests and lead market intelligence efforts Optimize – Build the best merchant acquisition engine so DoorDash continues to offer the highest quality selection for its customers Analyze – Build models to evaluate the economics, value, and opportunity costs of strategic initiatives to improve sales performance Influence – Manage cross-functional projects with our sales, partner management, operations, product, engineering, business operations and BD teams to improve the merchant experience and achieve targets We’re excited about you because… You have 2+ years of experience in Analytics, Consulting, or Strategy You have a bachelors degree or higher You are highly technical with advanced SQL, basic Python/R, AI, and data modeling experience. You are an excellent analytical thinker who can deliver actionable recommendations

PythonSQLAWSGit
DU
📍 San Francisco, Canada· Full-time
✓ High-confidence listing
Quick readStrong listing-quality and freshness signals

About the Team DoorDash’s Internal Audit team provides independent assurance that the company’s risk management, governance, and internal control processes are operating effectively. We are a small team that is looking to expand and bring on motivated professionals. We don’t think of ourselves as a typical audit function - we are obsessively focused on risks to the organizations which reflects in the type of projects we support and execute. DoorDash is rapidly growing - we are expanding in multiple geos and launching new products. This exciting growth allows us to drive creative analysis, strategy, and solutions. Our focus areas include financial, operational, regulatory, security, IT, and more. About the Role We are seeking a Senior Director, IT Internal Audit to lead the strategy, execution and evolution of DoorDash’s global IT audit function. In this highly visible role, you will help shape the technology risk management practices across DoorDash - you will oversee a broad portfolio of audits, including IT SOX, cybersecurity, data governance, AI governance, and operational technology. You will report directly to the Chief Audit Executive and serve as a strategic advisor to DoorDash’s technology, security, and engineering leaders. You will bring deep technical audit expertise, exceptional leadership skills, and a passion for innovation to build and lead a world-class IT audit organization that scales with the business. This role demands someone who can balance strategy with execution (and isn’t afraid to roll up their sleeves) — a leader who can anticipate emerging technology risks, foster strong cross-functional partnerships, translate complex technical concepts into meaningful business insights, and be ready to operate at the lowest level of detail. You will partner with teams across Security, Platform Engineering, Data Engineering, Privacy Legal, AI, Product, and Compliance to strengthen our risk posture and drive a data-driven approach

AWSGitRestMachine Learning
DU
📍 San Francisco, Canada· Full-time
✓ High-confidence listing

From $1.3M/yr

Quick readStrong listing-quality and freshness signals

About the Team The New Verticals Finance & Strategy team supports DoorDash’s expansion into categories beyond restaurants, which is a critical growth driver for the overall company. We enable our businesses to grow faster while becoming more profitable. We do this by creating quarterly and annual plans, holding our stakeholders accountable to goals, and providing strategic insights on our business to understand past trends and identify the best path forward. About the Role We're hiring a Senior Associate to help lead the day-to-day financial reporting and closing processes for our New Verticals business. In this role, you'll own recurring reporting cycles, including monthly close, weekly business reviews, and cross-team planning processes, partnering closely with Accounting, Data Engineering, and business teams to keep our financial reporting accurate and on time every cycle. This is a highly detail-oriented, execution-focused role: you'll spend most of your time working directly in the numbers, with real opportunities to build automation and process improvements along the way. You will report into a Manager on our New Verticals Finance team in our Finance & Strategy organization. You’re excited about this opportunity because you will… Own the monthly close and weekly reporting process for New Verticals, ensuring our financial data ties out accurately and on time every cycle. Build and maintain financial models and reporting tools that the broader Finance team relies on every week. Partner with Accounting, Data Engineering , and cross-functional business teams to investigate and resolve reporting discrepancies before they affect business decisions. Help modernize recurring reporting processes, including opportunities to use AI-powered tools to increase efficiency. Play a foundational role on a growing team, with room to take on more scope as you build expertise in the business. We’re excited about you because… You have 4+ years of experience in FP&A, cor

SQLAWSGitRest
DU
📍 San Francisco, Canada
✓ High-confidence listing
Quick readStrong listing-quality and freshness signals

About the Team The ad sales team is responsible for the advertising vision, development and growth of our largest advertising partnerships. This team is seeking additional team members to build an industry-leading CPG ads and promotions business across DoorDash’s core categories. The growing DoorDash ads business will quickly become the single best place for brands to market to local customers, in an ecosystem that benefits all parties. About the Role As an Enterprise Account Executive - CPG Ads, 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 CPG accounts, and drive adoption of our growing ads and promotions offering. You will also work cross-functionally with account management, marketing, analytics, and product to innovate on our future approach and solutions. You will report into an Industry Manager within the CPG Ad Sales in our Enterprise Sales & Business Development organization. Category specific focus could be across Beverages, Household, Personal Care, Sweets/Confection, Pets, Snacks, Pantry, or Alcohol. You’re excited about this opportunity because you will… Join a rapidly growing team within the DoorDash Ads & Promos org Lead end-to-end advertising conversations across a portfolio of consumer packaged goods (CPG) advertisers Drive product/feature adoption, and ultimately grow advertiser value and sustainable revenue for DoorDash Represent advertiser needs to influence our Ads & Promos product roadmap and go to market strategy Manage a robust sales pipeline and create annual and quarterly plans to achieve ambitious goals Co-develop pitch materials and processes to enable future scale of the team and business We’re excited about you because… You are a consultative seller with 3-5+ years of experience in digital media You’re an expert in using data and insights to inform recommendations, roote

ExcelLogisticsRecruitment
DU
📍 San Francisco, Canada
✓ High-confidence listing
Quick readStrong listing-quality and freshness signals

About the Team DoorDash Labs is an independent team within DoorDash. We explore robotics and automation to transform last mile logistics in the long term. If you have a passion for applying robotics solutions in a service used by millions of people, then we want to talk to you! About the Role We are hiring an Autonomy Platform Engineer to build and evolve the foundational software that runs our autonomy stack across robot and compute platforms. The Autonomy Platform team works across embedded Linux, compute and sensor enablement, robotics middleware, process orchestration, data capture and replay, system observability, and performance. You will develop production software and tooling that enables autonomy engineers to bring up new hardware, deploy services reliably, diagnose failures, and validate system performance across robot generations. You will work closely with autonomy, firmware, electrical, hardware, manufacturing, and validation engineers and report to the Autonomy Platform Lead. We expect this role to be hybrid with some time in-office and some time remote. You’re excited about this opportunity because you will… Build and maintain core runtime, middleware, and platform services used by autonomy applications. Enable new compute, camera, lidar, and other sensor platforms. Improve process orchestration, messaging, configuration, startup and shutdown behavior, resource isolation, and fault recovery. Develop system observability, tracing, performance measurement, diagnostics, and regression-detection capabilities. Build reliable data capture, replay, and debugging workflows. Create provisioning, packaging, deployment, integration-test, and platform-readiness tooling. Lead complex debugging across application, middleware, OS, driver, networking, timing, and hardware boundaries. We’re excited about you because… Strong production C++ and Python experience. Experience with embedded Linux, robotics, autonomous vehicles, or complex mechatronic systems. Solid u

PythonGitLinuxC++
T-
📍 Toronto, Canada· Full-time
✓ High-confidence listing
Quick readStrong listing-quality and freshness signals

About the Role: The Machine Learning team at Tubi drives the innovation behind personalized user experiences. With the largest inventory in the industry and hundreds of millions of viewers, we tackle problems in the space of recommendations, search, content understanding and ads optimization that shape the future of streaming. We are seeking a highly skilled Staff Machine Learning Engineer to contribute to transformative projects in video personalization. In this role, you will design and implement advanced algorithms and systems to improve our personalization strategy. As a senior technical expert, you will tackle complex problems in machine learning at scale, collaborating closely with cross-functional teams to develop and optimize machine learning-driven solutions. This is a hybrid role in our Toronto office. What You'll Do: Lead the design, development, and implementation of advanced recommendation systems and algorithms for a global audience Conduct deep dives into algorithmic components and systems, ensuring that models are optimized for both performance and scalability across multiple regions and product areas Build and deploy high-impact robust ML pipelines, including data extraction, feature development, model training, testing, and deployment Continuously monitor, evaluate, and optimize the performance of deployed models, ensuring they meet business goals and provide high-quality user experiences. Work closely with Product, Engineering, and Data Science teams to align on product requirements, set expectations, and deliver machine learning-driven solutions that improve user engagement Your Background: 8+ years of industry experience building production Machine Learning systems MSc or Ph.D. in Computer Science, Machine Learning, Statistics, Mathematics, or a related field Experience with deep learning technologies for recommendation systems, including TensorFlow, PyTorch, or similar frameworks Proficiency in building and deploying full-stack machine le

Machine LearningAIGoSEM
T-
📍 Toronto, Canada· Full-time
✓ High-confidence listing
Quick readStrong listing-quality and freshness signals

About the Role: The team is responsible for building and optimizing the UI/UX across all Web and OTT applications at Tubi. The team primarily focuses on implementing features related to user acquisition and growth, including but not limited to user registration, onboarding, SEO, and account management. As part of this team, you will work closely with Product and Design to develop cutting-edge, experiment-driven features that enhance the user experience. In addition to front-end development, you’ll be responsible for building the underlying technical architecture to ensure performance and scalability, while proactively exploring engineering-driven features and experiments that can drive user growth. You will be working with React, Node.js, GitHub Actions, Terraform, and CDN infrastructure to build and deploy high-performance applications that reach millions of users. This is a hybrid role based out of our Toronto office. You must be willing to travel to our Toronto office two days/week. What You'll Do: Work with product management and other stakeholders (Backend, Product, and UI/UX) to iterate on new growth-related features, including registration, onboarding, and SEO. Lead the technical architecture and implementation of scalable and resilient applications that run on multiple platforms, such as web, mobile web, and smart TV devices. Lead and drive innovation in building experiment-driven features that push the boundaries of user experience in streaming. Consistently ship features and improvements across Web and OTT apps with minimal guidance, collaborating with cross-functional teams to deliver high-impact updates. Identify and implement improvements in shared UI components, platform-specific optimizations, and overall front-end infrastructure. Take ownership of the codebase and proactively identify opportunities for refactoring and development process improvement. Mentor and collaborate with fellow engineers, sharing technical expertise and contributi

JavaScriptTypeScriptJavaReact
T-
📍 Toronto, Canada· Full-time
✓ High-confidence listing
Quick readStrong listing-quality and freshness signals

About the Role: As a Staff Software Engineer on the ML Infrastructure team, you will collaborate closely with the Machine Learning and Product teams to build world-class machine learning inference platforms. These platforms power essential services like personalized recommendations, search, and content understanding across Tubi. A core responsibility of this team is developing and maintaining low-latency ML model serving systems that support Deep Learning, LLM, and Search models. This involves building self-service infrastructure and critical components such as the inference engine, feature store, vector store, and experimentation engine. You will improve the way we deploy and operate our services and even contribute to open-source projects. This role grants the architectural freedom to explore new frameworks, lead critical cross-functional projects, and transform the capabilities of our ML and Product teams. Responsibilities: Design and build scalable, high throughput, and low latency distributed systems using Scala Build reusable components and services that serve various ML applications like Personalization, Search, Ads and Exploration Partner closely with ML engineers to understand their challenges and limitations and develop scalable solutions to address them. Proactively recommend solutions to keep our ML Inference stack state of the art. Take a data driven approach to identifying & optimizing latency, cost, and efficiency of our infra. Lead large scale cross functional refactorings if necessary Mentor other engineers on the team on system design, effective incident management, interviewing, leveraging LLMs for work, etc. Collaborate with ML, Product, and cross functional engineering teams to define the long term vision and architecture for ML Infrastructure at Tubi. Your Background: Experience designing and building scalable, distributed systems in any modern backend language (e.g., Scala, Java, Python, Go, C++); experience with Scala or JVM b

PythonJavaSQLRedis
T-
📍 Toronto, Canada· Full-time
✓ High-confidence listing
Quick readStrong listing-quality and freshness signals

About the Role The Machine Learning team at Tubi drives the innovation behind personalized user experiences. With the largest inventory in the industry and hundreds of millions of viewers, we tackle problems in the space of recommendations, search, content understanding, and ads optimization that shape the future of streaming. We are seeking a VP / Director of Machine Learning Engineering to lead and build a high-performing team while staying close to the technical work. This is a hands-on leadership role: you will set the strategic direction for our recommendation, personalization, and ads optimization systems, including recommendation foundation modeling, and you will stay in the algorithms and the code, conducting deep dives into modeling components and guiding the hardest technical decisions yourself. You will tackle complex machine learning problems at scale and partner closely with cross-functional teams to ship solutions that measurably improve how hundreds of millions of viewers experience Tubi. What You’ll Do Lead, build, and grow a high-performing ML engineering team, fostering a culture of technical excellence, ownership, and rapid iteration. Define and drive the ML strategy and long-term technical roadmap for recommendation, personalization, and ads optimization, including recommendation foundation modeling, identifying opportunities for ML to shape Tubi’s broader product and business strategy. Stay hands-on: conduct deep dives into algorithmic components and systems, ensuring models are optimized for both performance and scalability across regions and product areas. Lead the design, development, and implementation of advanced recommendation systems and algorithms, contributing directly to the most challenging technical problems. Build and deploy robust, full-stack ML pipelines: data extraction, feature development, model training, testing, deployment, and serving. Continuously monitor, evaluate, and optimize the performance of deployed models, ensuring

Machine LearningAIGoExcel
T-
📍 Toronto, Canada· Full-time
✓ High-confidence listing
Quick readStrong listing-quality and freshness signals

About the Role: The Machine Learning team at Tubi drives the innovation behind personalized user experiences. With the largest inventory in the industry and hundreds of millions of viewers, we tackle problems in the space of recommendations, search, content understanding, and ads optimization that shape the future of streaming. We are seeking a Director of Machine Learning Engineering and Infrastructure to lead a hybrid team bridging advanced ML engineering with world-class infrastructure design. In this role, you will own the strategic direction and execution for scaling our machine learning capabilities while ensuring our distributed systems and infrastructure can support innovation at massive scale. You will combine technical depth with leadership excellence to guide teams that deliver both foundational ML systems and high-performance distributed services. This is a hybrid role for our Toronto office. What You'll Do: Lead and manage high-performing teams across ML engineering and ML infrastructure, fostering a culture of innovation, collaboration, and growth. Define and execute the strategic roadmap for ML systems, including recommendation, personalization, and ads optimization. Oversee the design, development, and deployment of scalable ML pipelines: data ingestion, feature engineering, model training, evaluation, and serving. Architect distributed systems to support ML workloads at scale, ensuring reliability, observability, and operational excellence. Partner closely with Product, Engineering, and Content teams to align on business goals and deliver impactful ML-driven experiences. Support best practices in experimentation, evaluation, and ML system monitoring. Ensure cost efficiency, scalability, and performance in ML infrastructure investments. Your Background: 10+ years of industry experience spanning machine learning engineering and distributed systems. 3+ years of leadership and management experience, with a proven ability to build and lead strong t

AWSMachine LearningAIGo
DC
📍 Vancouver, British Columbia, Canada· Full-time
✓ High-confidence listing

From C$173K/yr

Quick readStrong listing-quality and freshness signals

Position Overview We are seeking a transformative Senior Director, Talent Acquisition to lead the overall recruiting function and deliver a high-impact, modern, and scalable hiring experience across the organization. In this role, the successful candidate will partner closely with senior business leaders and HR stakeholders to align hiring priorities, shape workforce plans, and support business growth through innovative, data-driven talent strategies. This leader will oversee end-to-end recruitment strategy and operations, guide team performance, and drive process improvements that strengthen hiring outcomes, scalability, speed, and quality of hire. A key focus of the role will be leading the successful implementation and optimization of Workday Recruiting and related processes, while advancing the use of AI-enabled recruiting tools, automation, talent intelligence, and analytics to improve sourcing effectiveness, decision quality, operational efficiency, and candidate experience. The ideal candidate is an AI-forward talent acquisition leader who brings strong leadership, stakeholder management, strategic thinking, and communication skills, along with deep expertise in recruiting operations, team development, talent analytics, recruiting technology, and enterprise process transformation. They will bring experience leading large-scale systems and process change, including Workday implementation or optimization, as well as a thoughtful approach to the responsible use of AI and technology across the hiring lifecycle. They will also bring a fresh and creative approach to attracting top talent and play a key role in advancing and strengthening our employer brand in the market. Key Responsibilities Lead the global Talent Acquisition function across a broad team or portfolio, with accountability for recruiting strategy, delivery, team capability, technology adoption, and performance against hiring goals. Partner closely with senior business leaders, HR

AWSGitAIGo
SX
📍 Toronto, Canada· Full-time
✓ High-confidence listing

From $780K/yr

Quick readStrong listing-quality and freshness signals

ROLE: CONTENT CREATOR TEAM: THE KITCHEN NORTH AMERICA LOCATION: TORONTO (HYBRID) COMPANY OVERVIEW: The Kitchen brings together a range of disciplines and capabilities. It’s a team of creatives, producers, data analysts and social experts working together to deliver remarkable ideas that live in a variety of mediums, from social to TV. This team moves at the speed of culture. It is built to respond to trends and events as they happen, coming up with ideas that transcend social media to capture the spirit of the moment, earn media impressions, and get the country talking. Are you ready to join an award-ambitious team that's making waves in the advertising industry? Our incredible team has been recognized internationally by industry giants like Cannes, One Show and was named Campaign's Global In-House Agency of The Year, further solidifying our position as a leader in the industry. Join us and be a part of something truly special, a team that's dedicated to creating ground-breaking work and pushing limits. At The Kitchen, we're not just looking for individuals who want to be a part of the advertising industry, we're looking for trailblazers who are ready to lead the way to the next big thing. We want individuals who are passionate about producing award-winning work and have an innate drive to their craft and are eager to generate innovative ideas both within and outside of the brief. ROLE OVERVIEW: In this role as Content Creator , you work alongside a team of Creatives and a Producer to plan, shoot, edit and optimize a wide range of content. From clever TikToks shot natively on device to deliciously staged food photography, you will work to create a range of still and video assets for some iconic brands. You’re an expert in social content – with a deep understanding of the platforms and what kind of content audiences expect on each. You enjoy the creative process and you’ll be part of a team that makes the kind of i

AIGoExcelMarketing
SX
📍 Toronto, Canada· Full-time
✓ High-confidence listing

From $57K/yr

Quick readStrong listing-quality and freshness signals

ROLE: SOCIAL COPYWRITER TEAM: THE KITCHEN NORTH AMERICA LOCATION: TORONTO (HYBRID) COMPANY OVERVIEW: The Kitchen brings together a range of disciplines and capabilities. It’s a team of creatives, producers, data analysts and social experts working together to deliver remarkable ideas that live in a variety of mediums, from everything from social to TV. This team moves at the speed of culture. It is built to respond to trends and events as they happen, coming up with the ideas that transcend social media to capture the spirit of the moment, earn media impressions, and get the country talking. Are you ready to join an award-ambitious team that's making waves in the advertising industry? Our incredible team has been recognized internationally by industry giants like Cannes, One Show and was named Campaign's Global In-House Agency of The Year, further solidifying our position as a leader in the industry. Join us and be a part of something truly special, a team that's dedicated to creating ground-breaking work and pushing limits. At The Kitchen, we're not just looking for individuals who want to be a part of the advertising industry, we're looking for trailblazers who are ready to lead the way to the next big thing. We want individuals who are passionate about producing award-winning work and have an innate drive to their craft and are eager to generate innovative ideas both within and outside of the brief. ROLE OVERVIEW: In this role as a Social Copywriter, you are part of an agile social team that is constantly looking for inspiration in the world, culture, and on the internet to find the next opportunity for a breakthrough social content. You are the voice of your brands online and therefore are responsible for shaping the brands’ personalities every day with the words and ideas you create for social. You have a deep understanding of your audience, and your brands’ passion points to be able to identify opportunities for social content. You have the creative abil

GitAgileAIGo
DU
📍 San Francisco, Canada· Full-time
✓ High-confidence listing

From $1.3M/yr

Quick readStrong listing-quality and freshness signals

About the Team Our US Marketplace team is responsible for growing the DoorDash business in the US, helping customers to discover & order what’s best in their city, merchants to grow their sales, and dashers to find flexible work. About the Role The US Marketplace team is looking for a motivated and hands-on Associate Manager to join the Strategy & Operations Growth and Markets team. You will own a portfolio of projects aimed at growing the core Marketplace business, working closely with DoorDash’s product, marketing, finance, and analytics teams.You’ll have the opportunity to help grow strategic markets, identify new growth bets, incubate 0-1 experiments, and execute on a roadmap to drive growth. You’re excited about this opportunity because you will… Build and own. You’ll have your fingerprints all over DoorDash’s next wave of growth. You’ll do whatever it takes to launch, get 1% better every day, and scale something completely new, from high-level strategy down to the nitty-gritty operational details. Incubate. You’ll take bets that don’t have an owner yet, scope them, test them, and either graduate them into funded programs or kill them with a clear, well-argued recommendation. Strategize. From first principles, you’ll develop the optimal strategy for growing segments and launching bets that no existing playbook covers. Experiment. You’ll turn strategies into operational experiments that create measurable, actionable outcomes, then use those results to shape the larger implementation plan. Analyze. You’ll pull your own data, assess the operational and financial impact of your decisions, and iterate based on what you find. Lead and collaborate. You’ll work with cross-functional partners across product, analytics, marketing, sales, and finance to get your initiatives resourced and shipped. We’re excited about you because… You have 4+ years of experience in a problem-solving role: consulting, tech, banking, or similar. Experience taking something

SQLAWSGitRest
DU
📍 San Francisco, Canada· Full-time
✓ High-confidence listing

From $1.3M/yr

Quick readStrong listing-quality and freshness signals

About The Team DoorDash for Business is building the premier corporate dining and benefits platform—helping companies of all sizes feed their teams through industry-leading products and meal programs. Our mission is to become the go-to solution for executives, administrators, and employees who need seamless, high-quality food programs at work. We move fast, operate with an ownership mindset, and are growing new product lines to better serve our corporate customers. Merchant success is core to that mission. When merchants have a clear, fast, and high-quality path from interest to live, our products work better for everyone—customers, Dashers, and the merchants themselves. About The Role As Associate Manager, Merchant Onboarding and Experience on the DoorDash for Business team, you will own how merchants get onto our programs and how they feel while they do it. You will be the lead for onboarding process design, execution quality, and merchant experience—turning a complex, multi-step journey into something that is faster, clearer, and consistently excellent. Your responsibilities will range from strategic (mapping the end-to-end onboarding journey, setting the operating model, and aligning Product, Ops, Sales, and Support on what “great” looks like) to operational (diagnosing drop-off, tightening handoffs, building playbooks, and using data and automation to remove friction). You will bring a systems mindset: every broken step is a process to redesign, every merchant complaint is a signal, and every manual workaround is a candidate for a better workflow. You will report into the DoorDash for Business Merchant Experience team. You’re excited about this opportunity because you will be driving… Onboarding Process Ownership Own the end-to-end merchant onboarding journey—from first intake through go-live. Map the current-state workflow, identify bottlenecks and failure points, and redesign the process so merchants get live faster with fewer drop-offs, fewer handoffs, and c

SQLAWSGitRest
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