Jobs in Canada

Experienced Or Senior Interiors Payloads Support Engineer in Canada

817 active opportunities · Updated October 2026

Explore current experienced or senior interiors payloads support engineer jobs across Canada. Filter by work mode, employment type, experience, department, date posted and distance.

A
📍 Canada· Full-time
✓ High-confidence listingCompany trend -86.2%

From C$80K/yr

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 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

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📍 Calgary, Alberta, Canada· Full-time
✓ Quality checkedCompany trend -100%

Who Are We? Postman is the world’s leading API platform, used by more than 45 million+ developers and 500,000 organizations, including 98% of the Fortune 500. Postman is helping developers and professionals across the globe build the API-first world by simplifying each step of the API lifecycle and streamlining collaboration—enabling users to create better APIs, faster. The company is headquartered in San Francisco and has offices in Boston, New York, Austin, Tokyo, London, and Bangalore - where Postman was founded. Postman is privately held, with funding from Battery Ventures, BOND, Coatue, CRV, Insight Partners, and Nexus Venture Partners. Learn more at postman.com or connect with Postman on X via @getpostman. P.S: We highly recommend reading The "API-First World" graphic novel to understand the bigger picture and our vision at Postman. The Opportunity With so many organizations using Postman, we are looking for an exceptional Enterprise Solutions Engineer to join our team & help us support the growth of our enterprise business. You will partner with our sales team to promote an API-first development culture, nurture customer relationships, and guide Postman users in leveraging our platform to build their APIs most effectively. Ideally, we are looking for someone who lives & breathes APIs, has experience in enterprise sales, is comfortable with JavaScript & is an expert Postman user already! In addition to working with a product that customers already know and love, our sales, customer success, product, and engineering teams will support you well in this role. What You’ll Do Help drive enterprise sales by nurturing prospects & supporting Strategic & Enterprise customers Conduct discovery, qualification, technical demos, & proof of value workshops with prospective customers looking to embrace Postman for their API lifecycle Handle Postman technical questions or objections & provide solutions or workarounds to address customer needs Under

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E
📍 Canada· Full-time
✓ Quality checkedCompany trend -100%

About ElevenLabs ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. How we work High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. Excellence everywhere: Everything we do should match the quality of our AI models. Global team: We prioritize your talent, not your location. What we offer Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. Growth paths: Joining ElevenLabs means joining a

PythonAIGoRust
H
📍 Toronto, Ontario, Canada
✓ High-confidence listingCompany trend -90.9%
Quick readStrong listing-quality and freshness signals

We’re looking for an Account Manager, Scale to maintain day-to-day contact with our existing customers at scale to help them realize the value of our products and services and establish long-term partnerships with Hootsuite by exploring and qualifying future growth opportunities. In this role, you will leverage your commercial skillset to successfully manage a high volume of customer renewals, while cultivating upsell, cross sell and expansion opportunities for both Hootsuite and Partner products in your book of business. As part of the Scaled Account Management team you will collaborate cross-functionally to provide customer value in all stages of the sales cycle. This is a hybrid role and is open to applicants located within commuting distance of our Toronto or Vancouver office. In this role, you will report to the Manager, Scaled Account Management. WHAT YOU’LL DO: Maintain low-touch day-to-day contact with customers for our pooled accounts at scale; providing timely answers to questions and focus on driving customer health and experience. Develop rapport with customers by proactively providing insightful market information and solutions that showcase maximum benefits from Hootsuite products. Drive renewals, upsells, and expansion in your low ARR accounts by focusing on customer engagements at scale and educating customers on Hootsuite’s value proposition in our pooled motion. Provide weekly forecasts and maintain rolling forecasts including monitoring and reporting account data health. Consistently contribute to generating team pipeline of upsell /product add-ons upon contract renewal or during service period to meet or exceed expansion targets. Successfully manage the end-to-end renewal process required to hit or exceed team renewal targets/quotas, leveraging your product knowledge to efficiently meet customers needs. Demonstrate understanding of contract terms and processes in order to maximize contract valu

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

About the Role: As Sr Manager, Creator & Content Partnerships - Canada, you'll lead Tubi’s effort to source, grow, and manage relationships with Canadian creators. You will support the GM Tubi Canada, in expanding relationships with content partners. You will play a pivotal role in scaling and evolving our Canadian content proposition, helping to shape the broader Canadian content strategy, and contributing to the global Tubi for Creators initiative. This is a hands-on, high impact role that blends business development, partnership management, and strategic, data-led thinking. 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: Source, pitch, and secure partnerships with Canadian creators, working directly with creators, talent agencies and distributors/aggregators Support broader strategic content partnerships with streaming platforms, broadcasters, and other IP owners, working closely with the US-based Content Acquisitions & Partnerships team Play a key role in shaping the Tubi Canada content strategy, ensuring the offering resonates with Canadian audiences and drives viewing growth Manage ongoing relationships with creators and partners, including onboarding, marketing collaborations, & partnership growth Track and analyze partner performance to identify growth and optimization opportunities Your Background: Demonstrated knowledge of the Canadian content and streaming landscape, with established relationships across the creator ecosystem 7+ years of experience in the creator economy, digital media, streaming, or content partnerships Track record in creator acquisition and/or partner management Strong empathy and understanding for creators and a keen understanding of their needs, challenges, and business models Exceptional communication and relationship-building skills, with a demonstrable ability to work cross functionally Strong da

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

About Forma.ai: Forma.ai is a Series B startup that's revolutionizing how sales compensation is designed, managed and optimized. We handle billions in annual managed commissions for market leaders like Edmentum, Stryker, and Autodesk. Our growth has been fuelled by our passion for fundamentally changing and shaping how companies use sales intelligence to drive business strategy. We’re welcoming equally driven individuals who are excited about creating something big! About the team Engineers on this team build the application our customers and internal teams use to configure, operate, manage, and visualize complex incentive compensation workflows. There are many complex and difficult areas across the product, especially across frontend architecture and user experience, because of high data volumes, wide configurability, complex business logic, and mission-critical operational workflows. The work is not just about building screens; it is about helping users understand, act on, and trust complex compensation data and operational processes. We are low on meetings and high on accountability. Most of the team is in the EST timezone, with some teammates in PST and Central. We are far from maintenance or simple progressive evolution in many areas; there is a lot of room to make a meaningful impact on the overall user experience, product architecture, and frontend design patterns. What you’ll be doing Reporting to the VP of Engineering, the Staff Frontend Engineer will play a critical role in shaping the technical direction, architecture, and long-term evolution of Forma’s customer-facing and internal operations experiences. You’ll operate as a frontend technical leader, working across teams to drive alignment, set standards, and solve complex, ambiguous problems in a highly configurable, data-intensive product. You’ll partner closely with product, design, engineering, and leadership to define not just what we build, but how we build it — ensuring

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📍 Montreal, Quebec, Canada· Full-time
✓ High-confidence listing
Quick readStrong listing-quality and freshness signals

We take play seriously. We’re looking for curious adventurers ready to find their party, fueled by imagination and drive to build what’s never been built before. At Hasbro and Wizards of the Coast, you’ll collaborate with passionate teams to reimagine our iconic brands and create experiences that spark joy, connection, and community through the magic of play. This is your chance to shape legendary play that lasts a lifetime. At Wizards of the Coast, we connect people around the world through play and imagination. From our genre-defining games like Magic: The Gathering® and Dungeons & Dragons® to our growing multiverse, we continue to innovate and build new ways to foster friendship and connection. That’s where you come in! The cloud platform underpins how services are built, deployed, secured, and operated across the organization. As a Principal Cloud Infrastructure Engineer, you will define and drive the governance model and automation strategy for cloud infrastructure. This includes setting policy-as-code standards, automating compliance and cost controls, and ensuring infrastructure is provisioned and operated through consistent, auditable, self-service pathways rather than tailored or manual processes. You will operate at both a strategic and hands-on level and will set direction for how cloud resources are governed and automated while also building the tooling and guardrails that make that direction real. Success in this role means engineering teams can self-service the build and operation of infrastructure with confidence that it is secure, cost-aware, and consistent by default, without slowing delivery down. What you'll do Cloud Governance Define and enforce policy-as-code standards (tagging, naming, encryption, network segmentation, access boundaries) across cloud accounts/subscriptions Establish guardrails using tools such as OPA, Sentinel, AWS Config/Service Control Policies to report on and prevent drift from

AWSAzureGCPCI/CD
SC
📍 San Francisco, Canada· Full-time
✓ High-confidence listing

From $110K/yr

Quick readStrong listing-quality and freshness signals

The Sigma Commercial Solutions Engineer believes in the power of analytics to transform organizations and uncover new data insights to increase business agility. The Sigma Solutions Engineer will act as the trusted advisor to our prospects and customers working in tandem with Sales, Business Development, Product Management, Customer Success, and Support. This individual is ultimately responsible for managing and delivering on all activities related to the technical presales cycle. This includes presentations, demonstrations, and hands on development of prototypes. You will align closely with our Commercial Sales Representatives focused on sales in new and existing accounts. What You Will Be Doing Understand and uncover business challenges and issues faced by the customer and be able to run targeted discovery sessions or workshops Engage with business users to define, create, and showcase solution prototypes Build and present customized demos for customers, trade shows, and webinars Confidently present and articulate the business value of the Sigma platform to all levels within an organization Deliver product, technical, and security related responses to RFPs/RFIs Participate in product, sales, and relevant technology certifications to acquire, maintain, and grow skill sets Work as a team player by contributing, learning, and sharing new knowledge Be conversant in integration and data migration approaches to help customers develop their data lifecycle and analytics strategy with Sigma Manage multiple customer engagements concurrently Attain quarterly and annual objectives assigned by management Become a Sigma champion and product expert; prospects and customers will look to you for advice and expertise Qualifications We Need Minimum 2 years of analytics, business intelligence, or sales engineering experience Customer relationship skills Strong understanding of database concepts Understanding of advanced spreadsheet concepts Cloud

PythonSQLAIGo
SA
📍 San Francisco, Canada· Full-time
✓ High-confidence listing

C$3 – C$7/hr

Quick readStrong listing-quality and freshness signals

You will: Manage the growth program from end to end, including top-of-the-funnel growth / recruiting campaigns, applications processing, and hiring and onboarding Represent and champion the brand, promoting its value proposition to candidates and stakeholders, driving engagement, and taking ownership of process improvements that streamline growth pipelines and support program success Optimize full growth funnel for conversion and experience Build and lead new growth recruiting campaigns and channels to meet business goals Be the subject matter expert for all recruiting systems (ATS: Greenhouse), tools, and processes, and provide training/onboarding as needed Own internal reporting and analytics, and keeping all the internal hiring data clean and up-to-date in our systems Be the strategic driver behind on impactful initiatives to improve the workflow, data infrastructure and reporting Proactively flag discrepancies in hiring plans, interview process, JDs, offer details, etc. and maintain data integrity and operational excellence within the team Work from the San Francisco office, with occasional travel for onsite growth events. Ideally you’d have: Minimum of 3-7 years of experience working in Growth, Recruiting or RecOps at a rapidly growing company Extensive experience using Greenhouse as a Site Admin (user permissions, approvals, custom options) and pulling ad hoc reports using our internal TA tools (report connector, reporting capabilities, and limitations) Strong knowledge of Gsuite (VLOOKUP, pivot tables, data validation, conditional statements and formatting, filters, etc.) Excellent written and verbal communication skills, with the ability to tailor messaging to diverse audiences Must have a deep understanding of Growth / Recruiting Pipelines, Funnels and Conversion metrics Demonstrated excellent project management skills, ability to pull and manipulate data sets, critically analyze existing processes, and identify opportunities for process improvement Able to

SQLAWSRestAI
SA
📍 San Francisco, Canada· Full-time
✓ High-confidence listing

From $290.4K/yr

Quick readStrong listing-quality and freshness signals

Scale's LLM post-training platform team builds our internal distributed framework for large language model training. The platform powers MLEs, researchers, data scientists, and operators for fast and automatic training and evaluation of LLMs. It also serves as the underlying training framework for the data quality evaluation pipeline. Scale is uniquely positioned at the heart of the field of AI as an indispensable provider of training and evaluation data and end-to-end solutions for the ML lifecycle. You will work closely with Scale’s ML teams and researchers to build the foundation platform which supports all our ML research and development works. You will be building and optimizing the platform to enable our next generation LLM training, inference and data curation. If you are excited about shaping the future AI via fundamental innovations, we would love to hear from you! You will: Build, profile and optimize our training and inference framework. Collaborate with ML and research teams to accelerate their research and development, and enable them to develop the next generation of models and data curation. Research and integrate state-of-the-art technologies to optimize our ML system. Ideally you’d have: Passionate about system optimization Experience with multi-node LLM training and inference Experience with developing large-scale distributed ML systems Experience with post-training methods like RLHF/RLVR and related algorithms like PPO/GRPO etc. Strong software engineering skills, proficient in frameworks and tools such as CUDA, Pytorch, transformers, flash attention, etc. Strong written and verbal communication skills to operate in a cross functional team environment. Nice to haves: Demonstrated expertise in post-training methods and/or next generation use cases for large language models including instruction tuning, RLHF, tool use, reasoning, agents, and multimodal, etc. Compensation packages at Scale for eligible roles include base salary, equity,

AWSRestAIGo
SA
📍 San Francisco, Canada· Full-time
✓ High-confidence listing

From $165.6K/yr

Quick readStrong listing-quality and freshness signals

Scale works with the industry's leading AI labs to provide high quality data and accelerate progress in GenAI research. We are looking for Research Scientists and Research Engineers with expertise in LLM post-training (SFT, RLHF, reward modeling) and evaluation. This role is on the evaluation pod within the GenAI Research Organization and will focus on building benchmarks and diagnosing model failure modes in both text and multimodal modalities. In this role, you will develop rigorous evaluations and diagnostic methods that reveal where frontier models fail and why. You will collaborate with researchers and engineers to define best practices in evaluation-driven AI development. You will also partner with top foundation model labs to translate failure analysis into technical and strategic input on the next generation of generative AI models. You will: Analyze model behavior to identify, characterize, and diagnose failure modes in frontier LLMs and Agents. You’ll identify everything from capability gaps and reasoning errors to robustness and alignment issues, all focusing on RCA. Design and build benchmarks and evaluation methods that measure LLM capabilities in both text and multimodal modalities. Apply post-training expertise (SFT, RLHF, reward modeling) to connect observed failures to the data and training interventions that address them. Publish research findings in top-tier AI conferences. Ideally you’d have: Ph.D. or Master's degree in Computer Science, Machine Learning, AI, or a related field. Deep understanding of deep learning, reinforcement learning, and large-scale model fine-tuning. Experience with post-training techniques such as RLHF, preference modeling, or instruction tuning, and with LLM evaluation or benchmark development. Excellent written and verbal communication skills. Published research in areas of machine learning at major conferences (NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR, etc.) and/or journals. Previous experience in a customer facing r

AWSRestMachine LearningAI
SA
📍 San Francisco, Canada· Full-time
✓ High-confidence listing

C$40 – C$55/hr

Quick readStrong listing-quality and freshness signals

You will: Source and acquire quality candidates for high volume positions to meet hiring and activation goals Review applications and screen candidates Support candidates throughout the recruiting process Partner with other growth recruiters, ops leads and cross-functional leaders to understand Scale’s business needs, then devise and execute on the recruiting strategy needed to deliver on them. Follow and manage processes that will evolve over time as the company grows. Represent and champion the brand, promoting its value proposition to candidates and driving engagement. Represent Scale at occasional onsite growth recruiting events. Ideally you have: 2+ years of recruiting/sourcing experience in a fast-paced, high-growth environment. Excellent written and verbal communication skills, with the ability to tailor messaging to diverse audiences Experience sourcing candidates and filling high volume roles Experience acting as the primary candidate liaison, delivering white-glove service through timely updates and personalized support throughout the interview process Nice to have: Previous experience in a start-up. Either experience managing a full-cycle recruiting experience, or a passion and ability to learn to do so. Experience with various tools such as Linkedin Recruiter, Clay, Modernloop, Gem Extreme attention to detail AI builder, AI-forward operator, or strong interest in agentic coding and experimenting with AI tooling The hourly salary range for this position is $40 to $55/hr. This is a remote position with occasional travels required for onsite growth recruiting events. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allow

AWSRestAIGo
SA
📍 San Francisco, Canada· Full-time
✓ High-confidence listing

From $180K/yr

Quick readStrong listing-quality and freshness signals

The Public Sector software engineers (SWEs) create the core product building blocks forward-deployed teams use to develop agentic capabilities that function across multiple domains. SWEs responsibilities include building the systems required to ingest and process federal datasets to support real-time decision-making in contested environments. We develop novel agentic enabling capabilities that includes: Create multi-layered guardrails around agents Optimize data retrieval for agents Orchestrate fleets of asynchronous agents Automatically alerts users to deviations in data Illustrating how an agent reached a decision As a Software Engineer, you will own the development of a vertical feature or a horizontal capability to include defining requirements with stakeholders and implementation until it is accepted by the stakeholders. You will: Design and implement scalable backend systems for Federal customers using cloud-native AI infrastructure. Build features for agentic systems including multi-layered guardrails and data retrieval optimization. Develop data pipelines and machine learning infrastructure to make data sources accessible by agents. Collaborate with cross-functional teams to execute backend solutions for secure environments. Participate in customer engagements to understand requirements and deliver technical solutions. Define requirements with stakeholders and implement features until they are accepted. Contribute to the platform roadmap and product strategy for the Federal business. Ideally you will have: Full Stack Development: Proficiency in front-end, back-end development and infrastructure, including experience with modern web development frameworks, programming languages, and databases Cloud-Native Technologies: Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience in developing and deploying applications in a cloud-native environment. Understanding of containerization (e.g., Docker) and container orchestration (e.g., Kubernetes

AWSAzureGCPDocker
SA
📍 San Francisco, Canada· Full-time
✓ High-confidence listing

From $184K/yr

Quick readStrong listing-quality and freshness signals

Scale AI is seeking a highly skilled and motivated Software Engineer, Frontier AI Infrastructure to join our dynamic Public Sector Engineering team. As a part of this team, you will own the model inference layer - enabling state of the art models, debugging the latest AI tools, managing networking, debugging latency, and tracking pricing/usage metrics for AI models. You will lead technical discussions on the frontlines with cloud vendors and customers to deliver on critical contracts and to debug platform issues. You will also work upstream with Product to understand features before they break, moving us from "infra-only debugging" to proactive integration testing. You will: Design and implement secure scalable backend systems for Public Sector customers, leveraging Scale's modern and cloud-native AI infrastructure. Own services or systems and define their long-term health goals, while also improving the health of surrounding components Re-architect the stack to run in compliant or restrictive environments. This requires designing swappable components (auth, storage, logging) to meet government/security mandates without breaking the product. You will work with Product to build integration tests that catch issues early, shifting the focus from "infra-only debugging" to preventing failures upstream. Participate actively in customer engagements, working closely with stakeholders to understand requirements and deliver innovative solutions. Contribute to the platform roadmap and product strategy for Scale AI's Public Sector business, playing a key role in shaping the future direction of our offerings. Must have: At least an active secret clearance and the ability & willingness to up level to TS/SCI with CI Poly. This is a requirement and candidates will not be considered who do not hold at least a secret clearance Ideally you'd have: Full Stack Development: Proficiency in both front-end and back-end development, including experience with modern web develo

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

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