Lead Solutions Architect in Canada

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 Creators are the backbone of Twitch, and they rely on their ability to earn a living doing what they love. As an Engineering Leader focused on growing creators' revenue, you will lead people to build products, features and experiences that enable such a living. You will be empowered to work across the stack and across functions. You will take high ownership of your services - architecting, building and operating them. You will partner with other engineering leaders, product managers, designers, data specialists and program managers to deliver solutions. Our teams own features like Subscriptions, Gifting, Turbo, Bits and Hype Train. This role can be based in San Francisco, CA or Seattle, WA. You Will: Lead a team of engineers to design, build and operate full stack applications. Establish a clear vision for your team and generate urgency to deliver for our customers. Have a laser focus on delivering results - even if that means disrupting process or protocol. Articulate behaviors that can grow careers. Your people development radar is always on. Quickly dissect the nuances of trade-offs, making conscious choices and overcoming challenges. Constructively parse, ingest, challenge and reframe proposals / plans for the better. Adjust

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. We are hiring a Marketing Technology Lead to own Lyft's B2B marketing technology stack, spanning marketing automation, content and web, lead routing, data enrichment, and attribution. As the senior technical owner of that stack, you will lead solution design, own the architecture and data model that carry a lead from first touch through to a qualified opportunity, and partner with Marketing Operations, Sales Operations, Sales Technology, Privacy, Legal, and Data to translate business needs into durable, scalable systems. This is a hands-on leadership role for someone who knows B2B marketing operations, can build the systems that run them, and is looking for ways to bring AI into how the stack works, not just what it produces. Responsibilities: Serve as the senior technical owner of the B2B marketing technology stack, from solution design through delivery, adoption, and ongoing support. Lead requirements gathering with Marketing Operations, Sales Operations, Sales Technology, and Data partners, and translate them into functional and technical designs. Remain hands-on, configuring and extending the marketing automation platform (HubSpot) across workflows, forms, lead scoring, and custom objects, and building the integrations that connect the stack. Own the marketing technology roadmap and architecture, including the lead and account data model, enrichment and routing logic, and integrations with the CRM, data platform, web, and advertising systems. Own the tracking and instrumentation layer, including tag management, site and campaign tracking, and the data capture behind attribution. Own the lead lifecycle systems, partnering with Sales Operations and Sales Technology on lead identity, deduplication, scoring, routing, MQL and SQL definitions, and funnel stage integrity. Identify where AI can im

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. We are hiring a Business Systems Lead to own the sales technology behind Lyft Ads. As the senior technical owner of the Lyft Ads CRM and commercial systems, you will lead solution design across Salesforce and the connected ad-sales stack and own the architecture for how ad deals move from opportunity through order management and billing. You will work alongside a team of Salesforce engineers and partner closely with Ads Sales, Sales Operations, Ad Operations, Finance, Legal, and the Media engineering teams. This is a hands-on leadership role for someone who knows ad-sales operations and can build the systems that run them. Responsibilities: Own the Salesforce architecture for the ad-sales lifecycle, from lead sourcing and opportunity creation through Order Management System (OMS) integration, contract execution, delivery reconciliation, and billing. Identify problems and opportunities across the Ads sales technology stack and shape them into scoped, funded initiatives. Lead requirements with Ads Sales, Sales Operations, Ad Operations, Finance, and Legal partners, and translate them into functional and technical designs. Own the integrations that connect Salesforce to the ad-sales ecosystem, including order management and contract systems, the ad server, and billing, through middleware such as Workato or Boomi. Drive AI best practices across the Sales Technology team, modeling effective usage and ensuring all AI-generated output meets Lyft's standards for quality, security, and performance. Guide the evolution of the Ads CRM platform, including the media-specific data model (agency, advertiser, and brand hierarchies, insertion orders, and flights) and own the Ad Sales Technology roadmap . Lead contract lifecycle management for Ads, including intake automation and Salesforce integration. Remain h

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’s Bikes & Scooters team is developing the future of micro-mobility and we are looking for a Mechanical Engineer to come in and help drive the development of our newest vehicles and sustain our fleet in operation. Responsibilities: Drive design decision by collaborating with product, engineering (EE/ME/FW/SW), reliability, and systems engineering teams Lead post-launch sustaining activities intended to support a smooth transition into production while maintaining high quality standards Derive technical architecture and engineering specifications from product requirements Use analysis to support engineering designs Lead sustaining and continuous improvement projects from concept through release and into field operations Work with GSM and Manufacturing teams to vet supply chain and production partners Prototype; create quick experimental mock-ups and meticulous mechanical models Research technologies and scope development opportunities Develop CAD databases and drawing packages, and drive handoff to manufacturers Support the build and test product development cycle, travel required Test failure analysis and solution validation to complete successful product development Conduct field failure analysis and solution evaluation Lead large projects from idea to positive execution Act on feedback to learn and grow Effectively communicate across cross functional teams to achieve results Experience: BS or MS degree in Mechanical Engineering or related technical field, and 5+ years of related industry experience Experience leading the development of a feature or module of a consumer product Strong foundation in mechanical engineering fundamentals, including solid mechanics, electromagnetics, thermodynamics, and knowledge of basic engineering materials and manufacturing processes Experience in perfo

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’s Bikes & Scooters team is developing the future of micro-mobility and we are looking for a solid, experienced Software Engineer to join our Stations Software Platform team to work on helping us transition our customers to our latest generation platform and to make the platform evolve in a solution that can be brought to multiple different markets and business models. Technical interviews and interactions with the other offices in the company will be in English; however, the working environment in Montreal is bilingual. Responsibilities: Help define the roadmap and architecture based on technology and business needs Write well-crafted, well-tested, readable, maintainable code Have a good grasp and ability to explain the various tradeoffs made in decisions Participate in code reviews to ensure code quality and distribute knowledge Lead projects from idea to positive execution Incorporate considerations for business context and failure modes in your work Proactively participate in resolving ongoing incidents Unblock, support, effectively communicate and obtain buy-in across teams to achieve results Share your knowledge by giving brown bags, tech talks, and evangelizing appropriate tech and engineering best practices Experience: BSc/MSc in Computer Engineering, Computer Science, related field or relevant work experience 5+ years of software engineering industry experience Experience with object-oriented programming Experience in distributed systems Experience with Java and/or Python, familiarity with Scala is a plus Experience working with databases, relational or NoSQL Experience writing clear, scalable and clear design documentation Experience designing, building and improving a set of team owned components Must have a track record of professional excellence Benefits: Extend

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 Role We are looking for a Principal Product Manager to lead the strategic evolution of the Auth0 Platform Infrastructure. In this highly visible, high-impact leadership role, you will be the visionary force behind the core infrastructure, consumption models, and platform capabilities that power Auth0’s immense global scale. You will own the multi-year strategy for critical platform pillars, with a heavy emphasis on redefining our rate-limiting and platform consumption frameworks. As a Principal product leader, you will navigate multi-dimensional scaling challenges (including the paradigm shift of autonomous AI agents), influence executive stakeholders, and ensure our platform remains the most resilient, secure, and performant identity solution for the world’s largest enterprises. What You’ll Do Drive the Long-Term Platform & Consumption Strategy: Define and own the multi-year roadmap for Auth0’s core infrastructure. Align deeply technical platform architecture with broader business objectives, Go-To-Market strategies, and overarching revenue goals. Spearhead the Strategic Evolution of Rate Limits & Monetization: Transform rate limits from a protective mechanism into a core business strategy. Pioneer dynamic consumption models, proactive policy-aware observability, and intelligent throttling strategies that align platform costs with customer value, reduce escalations, and unlock new SKUs. Architect Global Cloud Resilience & Scale: Champion ov

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 organization builds the platform that lets organizations move the people they depend on employees, clients, and customers. From the foundational mechanics of a company funding and provisioning a ride to the tailored workflows that get an employee to a client meeting or home after a late shift, we sweat the small stuff to make Lyft the transportation solution businesses build their programs on. As a Staff Software Engineer on the Lyft Business Team, you will act as a critical technical leader, taking holistic ownership of complex systems that span the rider experience, the administrator experience, and the enterprise integrations behind them — defining strategic roadmaps, driving cross-functional alignment, and driving engineering excellence to improve how organizations move their people. Responsibilities: Shape the long-term architecture for systems, taking accountability for both short-term functionality and long-term health Translate high-level business goals into actionable engineering projects. Own the technical roadmap from conception to delivery, managing cross-team dependencies and mitigating risks Champion improvements in system, observability, performance, and tech debt reduction, extending your influence beyond your immediate team Establish best practices for deployment, alerting, and on-call health. Take holistic ownership of the platform's stability, tracking down issues root causes and building preventive safeguards for your immediate scope and beyond. Drive alignment across product, design, and operations. Proactively resolve bottlenecks and make decisive trade-offs to protect system architecture from competing organizational priorities Mentor and level up the engineers around you. Delegate stretch opportunities, lead cross-team reviews, and foster a culture of s

Our Purpose Mastercard powers economies and empowers people in 200&#43; 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 Lead Data Scientist Overview: Services within Mastercard is responsible for acquiring, engaging, and retaining customers by managing fraud and risk, enhancing cybersecurity, and improving the digital payments experience. We provide value-added services and leverage expertise, data-driven insights, and execution. The Cyber and Intelligence Solutions team is responsible for innovation, development and management of our products and services to address evolving risk and security needs for all of Mastercard’s customers across the world including Banks, Merchants, Fintechs and of course consumers. The Lead Data Scientist will be a key contributor in helping Mastercard develop and deliver actionable insights and products to help issuers, acquirers and merchants reduce fraud. What will you do? -You will be a key player in helping Mastercard extract value from existing data sources in order to better understand, detect and prevent fraud. -Use your data science expertise and skills to analyze worldwide fraud data to gain insights regarding fraud. -Apply modeling techniques to identify and understand fraud to protect the MasterCard payment network. -Build and manage new fraud related products and services that will provide value to our customers and increase revenue. All about you: <br

Who We Are HP IQ is HP’s new AI innovation lab. Combining startup agility with HP’s global scale, we’re building intelligent technologies that redefine how the world works, creates, and collaborates. We’re assembling a diverse, world-class team—engineers, designers, researchers, and product minds—focused on creating an intelligent ecosystem across HP’s portfolio. Together, we’re developing intuitive, adaptive solutions that spark creativity, boost productivity, and make collaboration seamless. We create breakthrough solutions that make complex tasks feel effortless, teamwork more natural, and ideas more impactful—always with a human-centric mindset. By embedding AI advancements into every HP product and service, we’re expanding what’s possible for individuals, organisations, and the future of work. Join us as we reinvent work, so people everywhere can do their best work. About The Role The AI team is building cutting-edge solutions that bring the power of AI directly to edge devices while seamlessly integrating with cloud infrastructure. We are looking for a Lead Software Engineer to design and develop high-performance, scalable services to support AI workloads across edge and cloud environments. What You Might Do Design, build, and maintain services that power AI-driven applications, ensuring scalability and performance. Develop APIs and microservices that facilitate seamless integration between cloud-based AI models and edge devices. Optimize data pipelines and storage solutions for real-time AI inference and processing. Implement security and privacy best practices for distributed AI systems. Work closely with AI researchers, infrastructure engineers, and frontend developers to deliver end-to-end AI-driven solutions. Build and optimize an agent orchestration runtime that enables tool use, memory management, and multi-step reasoning across LLMs, APIs, and edge-connected systems. Develop robust logging, monitoring, and alerting systems to ensure system reliability.

Who We Are HP IQ is HP’s new AI innovation lab. Combining startup agility with HP’s global scale, we’re building intelligent technologies that redefine how the world works, creates, and collaborates. We’re assembling a diverse, world-class team—engineers, designers, researchers, and product minds—focused on creating an intelligent ecosystem across HP’s portfolio. Together, we’re developing intuitive, adaptive solutions that spark creativity, boost productivity, and make collaboration seamless. We create breakthrough solutions that make complex tasks feel effortless, teamwork more natural, and ideas more impactful—always with a human-centric mindset. By embedding AI advancements into every HP product and service, we’re expanding what’s possible for individuals, organisations, and the future of work. Join us as we reinvent work, so people everywhere can do their best work. About The Role We're seeking a Lead AI Product Designer to join our Design Team. If you are ready to move beyond traditional interface paradigms, this role offers the opportunity to help shape foundational aspects of our AI-powered experiences, with a particular focus on reimagining how computers remember, understand, and surface information. You'll alternate between deep exploratory work and shipping features that will fundamentally change how people interact with technology. You will tackle challenges like designing AI-powered memory systems and creating interfaces that understand and respond to people's needs. Success in this role requires both creative vision and the technical ability to build and validate ideas using real AI technology. You'll have the space to explore challenging problems while maintaining a clear focus on shipping products that work. Our goal is to create technology that feels obvious once you experience it. We're looking for designers who can envision a world where computing enhances our human capabilities rather than demanding our attention. We welcome applications from can

Upwork Inc.’s (Nasdaq: UPWK) family of companies connects businesses with global, AI-enabled talent across every contingent work type including freelance, fractional, and payrolled. This portfolio includes the Upwork Marketplace, which connects businesses with on-demand access to highly skilled talent across the globe, and Lifted, which provides a purpose-built solution for enterprise organizations to source, contract, manage, and pay talent across the full spectrum of contingent work. From Fortune 100 enterprises to entrepreneurs, businesses rely on Upwork Inc. to find and hire expert talent, leverage AI-powered work solutions, and drive business transformation. With access to professionals spanning more than 10,000 skills across AI & machine learning, software development, sales & marketing, customer support, finance & accounting, and more, the Upwork family of companies enables businesses of all sizes to scale, innovate, and transform their workforces for the age of AI and beyond. Since its founding, Upwork Inc. has facilitated more than $30 billion in total transactions and services as it fulfills its purpose to create opportunity in every era of work. Learn more about the Upwork Marketplace at Upwork.com and follow us on LinkedIn, Facebook, Instagram, TikTok, and X; and learn more about Lifted at Go-Lifted and follow on LinkedIn. Lifecycle Marketing is a horizontal team that shapes how we engage clients and talent across the full journey, and this role sits in our demand-side acquisition lane. We’re hiring a Lifecycle Marketing Lead, Growth & Acquisition to own high-impact lifecycle programs that help close the new-client acquisition gap through smarter demand capture and stronger engagement with SMB audiences. You’ll lead key initiatives across outbound prospecting and always-on content, translate performance signals into clear recommendations, and help shape how lifecycle marketing contributes to Upwork’s 2026 priorities. This is a senior indi

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 (LUS) is North America’s leader in micromobility. We own, operate, or provide hardware and software solutions for bikeshare and scootershare programs in 50+ global markets including Montreal, Toronto, London, New York City, Mexico City and others. Our rapidly growing active fleet includes state-of-the-art charging stations, electric bikes, and scooters, and services hundreds of millions of rides per year. Data and analytics are at the heart of Lyft's products and decision-making. You will play a key role in shaping the future of bikeshare by leveraging data to improve the performance of our bikeshare and scooter markets. A successful candidate thrives in a dynamic and collaborative environment, has a natural curiosity, and isn’t afraid to dive deep. In this role, you will collaborate closely with Operations, Policy, Engineering, Product and Finance teams to drive data-informed strategies that align our operations and products with city transportation goals and user needs. You will work in a fast-paced environment where analytical insights directly impact decisions ranging from pricing and product features to long-term investments in bikesharing infrastructure. We’re looking for a passionate and driven Data Analyst to tackle some of the most complex and impactful challenges in micromobility. If you’re excited about shaping the future of urban mobility through data, we’d love to hear from you. Responsibilities: Partner with Product, Engineering, Policy, Operations, Finance and other cross-functional stakeholders on initiatives to conduct deep-dive analyses to root cause issues and propose solutions Develop frameworks, business logic and scalable processes to streamline reporting and drive decision-making Forecast operational requirements and investments needed to

Position Overview As a Solutions Engineer at Diligent, you will partner closely with Sales to help organizations understand how our platform can transform the way they identify and mitigate risk, perform audits, strengthen controls, and operationalize broader GRC programs. You’ll independently lead the SE workstream on small to mid-sized opportunities, while partnering with more senior Solutions Engineers on complex, multi-pillar deals, acting as a trusted partner to customer stakeholders and helping translate Risk & Audit and broader GRC challenges into clear, compelling solutions that drive business value. If you enjoy combining domain expertise, storytelling, solution design, and customer interaction and are looking to build your career in a commercial, customer-facing environment, this is a strong next step. Key Responsibilities Customer & Commercial Partnership Partner with Sales to lead the full pre-sales lifecycle for small to mid-sized opportunities, helping customers understand how Diligent solves real-world risk, audit, and control management challenges. Deliver independent, well-prepared, tailored software demonstrations that clearly articulate business value, while seeking coaching and feedback from senior team members for continuous improvement. Engage confidently with stakeholders across Internal Audit, Risk, Compliance, IT, Controls, and Governance teams, owning day-to-day customer conversations and escalating to senior SEs for high-risk or complex topics as needed. Translate customer pain points into clear solution narratives, including outcomes and success criteria, to support deal progression and closure. Own the technical win for small to mid-sized opportunities, and contribute to the technical strategy on larger, multi-stakeholder deals in partnership with senior SEs. Solution Design & Thought Leadership Design and present solu

As Sigma scales its global footprint, the Sales Engineering (SE) organization is the technical engine driving our GTM motion. We are looking for a Strategy and Operations Lead, SE to partner directly with our VP of SE and serve as the operational bedrock for this critical organization. Operating within our broader GTM Strategy & Operations team, you will own the global operating rhythm, operational infrastructure, and capacity planning for the entire SE organization. You will drive strategy across a highly matrixed, global environment. You are part strategist, part builder, and part operator - responsible for ensuring our pre-sales motion scales seamlessly. What You Will Do Drive Business Reporting & the SE Operating Rhythm: Own the cadence of the SE organization. Design and execute regular business reviews and leverage Sigma to build robust, real-time reporting that gives the VP of SE crystal-clear visibility into technical pipeline health, team utilization, and conversion metrics. Optimize Funnel Mechanics & Deal Acceleration: Deep dive into the pre-sales funnel to identify where deals stall during technical validation. Partner with SE leadership to optimize the Proof of Concept (POC) lifecycle, remove friction, and accelerate the technical win. Lead Global Headcount & Capacity Planning: Serve as the SE representative in cross-functional GTM planning cycles. Own end-to-end global SE capacity requirements, design territory allocation frameworks, and manage annual headcount planning seamlessly across AMER, EMEA, and APAC. Build Solutions in Sigma: Leverage Sigma itself to build robust operational solutions, designing the dashboards, data models, and workflows needed for POC tracking, capacity management, and performance visibility. Act as the Cross-Functional Hub: Represent the SE organization in all major GTM Strategy & Operations initiatives. Serve as the connective tissue between SE, Sales, Product, and RevOps, ensuring SE requir

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,