Jobs in Canada

Program Lead in Canada

219 active opportunities · Updated October 2026

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

H
📍 Ontario, Canada, Canada· Full-time
✓ High-confidence listingCompany trend -90.9%

From C$96.1K/yr

Quick readStrong listing-quality and freshness signals

We're looking for a Revenue Enablement Manager for our Sales Office to own the enablement experience for Hootsuite's global seller community of Account Executives, Sales Development Representatives, and partner-facing roles. This is a hands-on, high-impact position responsible for translating Hootsuite's enterprise Go-To-Market strategy into the programs, content, and skills that give our sellers a competitive edge. This role works at the intersection of strategy and execution building the programs, playbooks, coaching frameworks, and learning systems that directly influence how quickly and effectively our sellers perform. The measure of this role is field impact: quota attainment, pipeline, and win rates. This role is open in USA and Canada in provinces and states we can legally hire in and will report into the Chief of Staff, Revenue. WHAT YOU’LL DO Develop and maintain sales playbooks, talk tracks, frameworks, and competitive assets in close partnership with Marketing, ensuring sellers always have current, field-tested materials at the moment they need it. Translate Hootsuite's GTM positioning and value-based selling methodology into training programs that are practical, repeatable, and directly applicable to driving active pipeline. Build and manage a coaching cadence for the seller community, leveraging AI to surface conversation intelligence insights, identify skill gaps, and create targeted coaching interventions in partnership with frontline sales managers. Design and deliver enablement programs for operational launches, GTM plays, and strategic initiatives in coordination with Product Marketing, RevOps, and Sales Leadership to ensure field readiness ahead of each launch. Partner with RevOps to drive adoption of new tools, processes, and CRM workflows, translating operational changes into clear, field-facing learning experiences that minimize friction and accelerate uptake. Maintain a continuous learning rhythm for tenured sellers through micro-learning, pee

AgileAIGoRust
L
📍 Montreal, Canada· Full-time
✓ High-confidence listingCompany trend -73.4%

From C$72K/yr

Quick readStrong listing-quality and freshness signals

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 Urban Solutions powers the bike-sharing and scooter-sharing systems that move millions of people in over 60 cities worldwide. We built North America's first automated bike-share system and continue to lead the micromobility revolution. Our systems operate globally - from Citi Bike in New York to BIXI in Montreal, Divvy in Chicago, Capital Bikeshare in DC, and iconic systems in Austin, Barcelona, Bogota, Boston, Buenos Aires, Columbus, Detroit, Dubai, London, Madrid, Mexico City, Monaco, Pittsburgh, Portland, Rio de Janeiro, San Francisco, Toronto, and beyond. We're not just technology providers - we operate these systems, building the software, hardware, and operations that make urban micromobility work at scale. Ready to shape how millions of people move through their cities every day? We're looking for an Android Software Engineer to join the Rider Experience team within Lyft Urban Solutions. Your work will directly power the digital experiences behind our bike-share and scooter-share platforms. You'll build the backend systems that make membership programs, rider features, and real-time experiences feel seamless and fast. We're moving quickly on this hire; the team has ambitious goals for 2026 and needs strong engineers who are ready to ship. Our engineers are sharp, pragmatic problem-solvers who move fast and deploy to production continuously. Responsibilities: Engineering & Delivery Design, develop, deploy, monitor, operate, and maintain elements of our Rider experience, owning components end to end Write reliable, performant, and maintainable code, with comprehensive test coverage Reduce technical debt and contribute to ongoing improvements in tooling and code structure Analyze internal systems and processes to identify opportunities for improvement and automation Participate in code r

GitAIKotlinGo
H
📍 Ontario, Canada, Canada
✓ High-confidence listingCompany trend -90.9%

From C$96.1K/yr

Quick readStrong listing-quality and freshness signals

We're looking for a Revenue Enablement Manager for our Sales Office to own the enablement experience for Hootsuite's global seller community of Account Executives, Sales Development Representatives, and partner-facing roles. This is a hands-on, high-impact position responsible for translating Hootsuite's enterprise Go-To-Market strategy into the programs, content, and skills that give our sellers a competitive edge. This role works at the intersection of strategy and execution building the programs, playbooks, coaching frameworks, and learning systems that directly influence how quickly and effectively our sellers perform. The measure of this role is field impact: quota attainment, pipeline, and win rates. This role is open in USA and Canada in provinces and states we can legally hire in and will report into the Chief of Staff, Revenue. WHAT YOU’LL DO Develop and maintain sales playbooks, talk tracks, frameworks, and competitive assets in close partnership with Marketing, ensuring sellers always have current, field-tested materials at the moment they need it. Translate Hootsuite's GTM positioning and value-based selling methodology into training programs that are practical, repeatable, and directly applicable to driving active pipeline. Build and manage a coaching cadence for the seller community, leveraging AI to surface conversation intelligence insights, identify skill gaps, and create targeted coaching interventions in partnership with frontline sales managers. Design and deliver enablement programs for operational launches, GTM plays, and strategic initiatives in coordination with Product Marketing, RevOps, and Sales Leadership to ensure field readiness ahead of each launch. Partner with RevOps to drive adoption of new tools, processes, and CRM workflows, translating operational changes into clear, field-facing learning experiences that minimize friction and accelerate uptake. Maintain a continuous learning rhythm for tenured sellers through micro-learning, pee

Artificial IntelligenceAISalesforceRecruitment
L
📍 Toronto, Canada
✓ Quality checkedCompany trend -73.4%

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

PythonMachine LearningArtificial Intelligence
L
📍 Toronto, Canada· Full-time
✓ High-confidence listingCompany trend -73.4%

From C$108K/yr

Quick readStrong listing-quality and freshness signals

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

PythonMachine LearningAIGo
F
📍 San Francisco, Canada
✓ Quality checkedCompany trend -83.3%

Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! As Director, People Partners for Product, Design & Engineering (PDE), you'll be partnering with the leaders that are responsible for the teams building Figma and leading a team of highly skilled People Partners. You'll operate as a trusted advisor - coaching, challenging, and guiding the organization through rapid growth, reorganization, and change. As a member of the People team, you’ll partner closely with all of our People functions to build a best in class people function. If you’re energized by ambiguity, adept at building deep relationships, and excited to shape what great People Partnering looks like at Figma, we’d love to hear from you! This is a full time role held from our San Francisco hub. What you'll do at Figma: Serve as the strategic People Partner to Figma’s CTO and Chief Design Officer, building the credibility and trust to influence how they lead, organize, and grow their teams Lead and develop a talented team of People Partners across the Product, Design and Engineering organizations Lead and execute our People Programs such as org design, resource management, performance, and change management through periods of rapid scaling, reorganization, and shifting priorities Drive the core people cycles for your orgs across performance, calibration, talent reviews, succession planning while raising the bar on quality and consistency Partner across the People function and our cross functional partners to help execute the People strategy across the PDE organization Use data and insi

V
📍 Toronto, Ontario, Canada· Full-time
✓ Quality checkedCompany trend -100%

At Vanta, our mission is to help businesses earn and prove trust. We believe that security should be monitored and verified continuously, and we empower companies to practice better security and prove it with ease. Vanta has a kind and talented team, and while some have prior security experience, many have been successful at Vanta without it. Our Senior Software Engineers lead and mentor engineers, delivering high-value products for our customers and infrastructure that enables our business to scale. Vanta’s team and technology surface are growing quickly, and it’s essential that we invest in the right abstractions and systems to enable us to scale with our business. As a Senior Software Engineer, you’ll be responsible for setting technical direction to enable our product and infrastructure to scale with our business, driving complex projects across our technical stack, and mentoring our talented engineering team. Your past experience will be leveraged to enable and accelerate Vanta’s growth. Our business has found incredible product-market fit and has monetized effectively since the day we signed our first customer. We’re growing at a blistering pace, which presents career-defining opportunities for engineers to accelerate their growth and to contribute to a rapidly-scaling company. Visit our Vanta Engineering Blog to learn more about what our team is working on! Please note we are only able to hire in Alberta, Ontario, and British Columbia. The GRC (Governance, Risk and Compliance) organization is the primary org responsible for developing and maintaining Vanta's core product offerings. These teams are at the heart of Vanta moving upmarket to support enterprise customers and build products that enable our customers’ existing security and compliance programs to integrate seamlessly with Vanta, giving them invaluable insights and recommendations to continue to operate, mature and evolve their programs. What you’ll do as a Senior Software Engineer at Vanta: Lead comp

TypeScriptReactNode.jsRest
L
📍 San Francisco, CA· Full-time
✓ High-confidence listingCompany trend -73.4%
Quick readStrong listing-quality and freshness signals

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 Luxury team builds rich and creative features that set the standard for the ride-sharing industry. We're looking for a motivated Senior Engineering Manager to lead the team building app experiences, UIs, and infrastructure for Black, Black SUV, and other upmarket modes where quality is uncompromising. As a Senior Engineering Manager, you'll set the technical direction for the team, making tradeoffs between technical investments and product work, and communicating strategy transparently to your team and to leadership. You'll act as a critical technical leader across backend, frontend, iOS, and Android, taking holistic ownership of complex systems, defining strategic roadmaps, and driving cross-functional alignment and engineering excellence to improve the luxury experience. Ownership is a key quality for this team. You should be driven to track projects to successful completion and beyond, taking initiative to work with other teams and functions to ensure your team's work reaches users and drives impact. You'll also help shape product direction by developing a deep understanding of the customer. You'll lead a group of talented engineers, helping the team deliver business impact while staying open to change through constant experimentation. You'll collaborate with engineering, product, data science, design, and operations on programs that empower the team to iterate quickly, delighting our passengers and drivers. If you enjoy collaborating with technical and nontechnical partners on a product with real-world impact, this is the role for you. Responsibilities: Lead a team of talented backend, frontend, and mobile engineers and engineering managers who like to ship code and tackle hard engineering problems Mentor and guide the professional and technical development of your team members. Help d

L
📍 San Francisco, CA· Full-time
✓ High-confidence listingCompany trend -73.4%
Quick readStrong listing-quality and freshness signals

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 Growth Products team drives rider and driver acquisition to scale the business and balance the marketplace. We specialize in incentive and messaging targeting, budget optimization, and paid media measurement, and move rapidly to test new ideas and products. As a Data Scientist expert in causal inference and marketing mix models (MMM), you will lead our efforts to measure and optimize investments across marketing channels. Responsibilities: Deliver results across the entire lifecycle of data science solutions for Growth: from defining the problem with cross-functional stakeholders to deploying production models that address key business problems. Own complex domains and develop long-term roadmaps to maximize business impact. Build statistical pipelines, write production code, and design/analyze experiments. Participate in the science on-call rotation to ensure automated campaigns operate successfully. Experience: Advanced degree in statistics, economics, mathematics, or equivalent industry experience. 4+ years of industry experience in causal inference or data science. Proven ability to apply statistics to unstructured problems and deliver measurable results. Deep technical expertise in causal inference and tackling challenging measurement problems. Expertise in marketing mix modeling is highly preferred. Expertise in SQL and experience with large-scale data platforms. Proficiency in Python and working within production coding environments. Benefits: Great medical, dental, and vision insurance options with additional programs available when enrolled Mental health benefits Family building benefits Child care and pet benefits 401(k) plan with company match to help save for your future In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team membe

PythonSQLAI
L
📍 San Francisco, CA· Full-time
✓ High-confidence listingCompany trend -73.4%
Quick readStrong listing-quality and freshness signals

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 Lyft Business Product Platform team builds the systems and experiences that power Lyft's B2B products — enabling companies, organizations, and their employees to seamlessly access Lyft's transportation network. We sit at the intersection of product and platform, owning both the customer-facing features and the underlying infrastructure that makes them reliable at scale. Our work directly impacts how businesses integrate with Lyft, how admins manage their programs, and how millions of riders get where they need to go. Responsibilities: Drive architecture and technical design for systems that are highly available, scalable, and built to last — not just for today's requirements but for where the product is heading Own features end-to-end: from shaping the technical spec and design through to production rollout and operational health Think critically about how AI capabilities can be incorporated into Lyft Business products to improve the experience for business admins and riders — and bring that perspective into roadmap and architecture conversations Make well-reasoned trade-off decisions and communicate them clearly to peers, leads, and cross-functional partners Write clean, well-tested, maintainable code and hold a high bar for the same in code reviews Partner across engineering, product, and design to align on direction and get buy-in on technical approaches Proactively engage in incident response, contributing both to resolution and to long-term reliability improvements Grow the team's technical culture through design reviews, tech talks, and mentorship Experience: 5+ years of software engineering experience, with a track record of designing and shipping production systems at scale Strong system design instincts — you can reason through distributed systems trade-offs, identify failure modes, and

SQLAWSAzureGCP
L
📍 Toronto, Canada· Full-time
✓ High-confidence listingCompany trend -73.4%

From C$108K/yr

Quick readStrong listing-quality and freshness signals

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Our mission depends on having a digital representation of the physical world - a map with all routing related (real-time) information. This is what makes Lyft different from many products: our products don’t just facilitate online interactions, they facilitate dynamic, real-world ones. Without mapping services, none of these real world interactions between people and transport can happen. The Mapping organization at Lyft has spent the last few years building up Lyft’s mapping assets and capabilities by combining many internal and external data sources and services into an increasingly powerful and mission-critical technology stack. In doing so, we’ve also enabled new user experiences and features across all of Lyft’s products, including rideshare industry leading firsts like CarPlay, Android Auto, and real-time driver feedback! We are hiring a Software Engineer to join our Mapping experiences team that builds end user features to enhance drivers and riders experience on Lyft’s platform by using our in house navigation system. We are looking for an engineer with expertise in system architecture, cross team collaboration, and experience in building scalable solutions in the cloud environments. In this role, you'll collaborate with engineering, product, data science, analytics, operations, and AI/ML teams on programs that empower us to iterate quickly, delighting our passengers and drivers with rideshare focused mapping experiences. Responsibilities: Drive high-impact projects and innovate new solutions to provide the best user experience Lead large features from idea to positive execution and launch Write well-crafted, well-tested, readable, maintainable code Participate in code reviews to ensure code quality and distribute knowledge, as well as on call rotations Share your knowledge by giving brown ba

PythonSQLAWSAzure
T
📍 San Francisco, Canada
✓ High-confidence listingCompany trend -94.4%
Quick readStrong listing-quality and freshness signals

About Us Twitch is the world’s biggest live streaming service, with global communities built around gaming, entertainment, music, sports, cooking, and more. It is where thousands of communities come together for whatever, every day. We’re about community, inside and out. You’ll find coworkers who are eager to team up, collaborate, and smash (or elegantly solve) problems together. We’re on a quest to empower live communities, so if this sounds good to you, see what we’re up to on LinkedIn and X , and discover the projects we’re solving on our Blog . Be sure to explore our Interviewing Guide to learn how to ace our interview process. About the Role Twitch Security Platform builds and operates the technology at the intersection of security, privacy, software engineering, and data engineering. As a Senior Engineering Manager, Security Platform, you will guide a diverse group of software engineers to build critical tools and automation solutions used across Twitch. You will report to the Director of Security, Identity, and Privacy Platforms. You will manage engineers responsible for operating our security data platform handling billions of weekly events, a multi-petabyte data lake, and numerous analysis tools that provide critical data across the organization to support important security programs. You will also lead engineers responsible for writing software to accomplish security at scale through automation, libraries, and services. With this team, you will lead the full software development lifecycle from product discovery, roadmap prioritization, and execution. Programs you support will include Fraud, Service-to-Service Auth, Detection and Incident Response, Vulnerability Management, Engineering Intelligence, and Privacy. You are experienced in software and data engineering, you bring awareness of the industry's cutting edge, and you're passionate about security. If this sounds accurate, come join us! You can work from San Francisc

O
📍 Toronto, Ontario, Canada
✓ High-confidence listingCompany trend -63.6%
Quick readStrong listing-quality and freshness signals

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 Data Enablement Team Auth0 is an easy-to-implement authentication and authorization platform designed by developers for developers. We make access to applications safe, secure, and seamless for the more than 100 million daily logins around the world. Our modern approach to identity enables this Tier 0 global service to deliver convenience, privacy, and security so customers can focus on innovation. Within the Data organization, the Data Enablement team is chartered with creating scalable semantic models that make it safe for anyone to see and understand data. By partnering with product and engineering leaders, this team owns the data lifecycle from strategy to prototyping to implementation, executive dashboard and product level self-service support. The Senior Data Analyst Opportunity Reporting to the Manager, Data Enablement - this role will be responsible for unlocking analytics across the company. You will do this through a combination of data lifecycle ownership, data tooling enablement and outreach programs designed to foster the safe usage of scalable data models for reporting and analytic consumption. You'll serve as a critical data and technical partner that empowers our Sales, TAM, and Customer Success teams with the deep product insights they need to succeed. An average week will find you partnering with these teams to understand their measurement needs, reviewing engineering plans to ensure we capture critical data signals from the Auth

PythonSQLGitMachine Learning
M
📍 Toronto, Canada
✓ High-confidence listingCompany trend +37.5%
Quick readStrong listing-quality and freshness signals

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 Specialist, Product Management – Attributes & Insights Our Purpose: We work to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. We cultivate a culture of inclusion (https://www.mastercard.us/en-us/vision/who-we-are/diversity-inclusion.html) for all employees that respects their individual strengths, views, and experiences. We believe that our differences enable us to be a better team – one that makes better decisions, drives innovation, and delivers better business results. About the Team Mastercard Identity, within the Security Solutions organization, leads the development of products and services that enable global commerce, powers financial inclusion, prevents crime and makes some of the most seamless experiences possible. As part of Mastercard Identity, the Attributes & Insights team drives the development and management of products, programs, and services focused on deterministic attribute ve

SQLExcelPower BiTableau
A
📍 San Francisco, Canada
✓ High-confidence listingCompany trend -86.2%
Quick readStrong listing-quality and freshness signals

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 Community You Will Join: Providing world-class customer service for our community of guests and hosts is a critical mission at Airbnb. The Ambassador Routing & Channels (ARC) team sits within Airbnb Community Support and is responsible for powering intelligent, differentiated service experiences, ensuring every support request, across any channel, is addressed by the right expert at the right time. Our work directly drives faster resolutions, higher quality interactions, and exceptional customer satisfaction at scale. The Difference You Will Make: As a Senior Backend Engineer on the ARC team, you will contribute meaningfully across our core routing and differentiated service programs: Contribute to and lead engineering delivery on programs that enable intelligent agent matching, personalized support experiences for high-value customers, and next-generation routing and communication channel capabilities. Own and evolve core routing infrastructure, including decision engines, workflow orchestration, and routing rule management. Ensuring high availability, correctness, and scalability across millions of daily support interactions. Help drive consolidation of fragmented routing logic spread across multiple platforms and channels into a centralized, auditable, and maintainable system. Collaborate cross-functionally with Product, Operations, Data Science, and partner engineering teams to align on priorities and deliver outcomes that improve the customer support experience. Contribute to technical quality through design reviews, code reviews, and pragmatic architectural decision-making. Support the team's tech

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