Experienced Electro Optical Infrared Design in Canada

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

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

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. About the role The App Runtime team is building a platform that lets every Snowflake user go from an idea to a live, deployed web application (Node.js first) in minutes. We own the end-to-end experience of building and running apps, from Cortex AI-assisted development to deployment in a secure, scalable infrastructure. Apps built on the platform inherit Snowflake's security, governance, lineage, and access controls by default. See Deploy Faster with Snowflake Apps . As a Senior Full Stack Engineer, you will drive initiatives that span our product areas and tech stack. It’s a high-impact role - you will work on an early-stage, public-preview product. Your work will directly shape the product experience developers rely on. This role requires a unique combination of deep hands-on expertise with web frameworks, great UX design instincts, customer obsession and collaboration with backend teams. Responsibilities Build the AI-assisted, agentic development experiences that power App Runtime, spanning the full tech stack - React, Go, Python, and Java Stay deeply hands-on by authoring technical and design specs that consider the system holistically (frontend and backend) and implementing critical code Partner directly with customers, i.e. developers building Snowflake Apps, translati

About the role There’s a wide gap between an agent that works in a demo and one that works across millions of live transactions. Closing it is the job. You’ll embed with the teams and customers who depend on AI — risk, fraud, collections, payments, support, developer experience — and design, build, and ship agentic systems into their production environments. You’ll also help build the platform underneath: Paytm’s AI inference platform (Pi) and the agentic runtime, orchestration, and tooling that lets agents reason, plan, use tools, and run multi-step workflows safely.

Position Summary – 10 month Contract : As a Site Merchandising Specialist, you will optimize the site performance supporting the team's use of analytics and merchandising best practices to help improve customer conversion, retention, and overall website performance for Taylormadegolf.ca and .mx. Additionally, you will collaborate with cross-functional teams in planning, marketing, and UX to support product strategies and assist in optimize both front-end and back-end processes. Essential Functions and Key Responsibilities: Support the development and upkeep of a comprehensive merchandising calendar (daily, weekly, and monthly) aligned with marketing initiatives to maximize product visibility, promotional effectiveness, and sales opportunities. Support weekly site merchandising strategies to optimize conversion and customer engagement. Own Assist with the testing process from hypothesis development through execution, analysis, and recommendation. Analyze customer behavior and web analytics data, including product views, conversion rates, bounce rates, and engagement metrics, to identify trends and optimize category performance in support of business objectives. Continuously enhance product discovery and the customer shopping experience by optimizing search functionality, navigation, filtering, and product recommendation tools. Partner cross-functionally with Planning, Product, Marketing, and Digital teams to coordinate product placement strategies, manage inventory considerations, and mitigate business risks. Leverage web analytics and customer insights to identify opportunities for site improvements, increased engagement, and revenue growth. Collaborate with Digital Technology teams to define, prioritize, and support site enhancements

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 Manager, Customer Performance, Brand Overview Mastercard operates the world’s fastest payment processing network, connecting consumers, financial institutions, merchants, governments, and businesses in more than 210 countries and territories. Every day, everywhere, we use our technology and expertise to make payments safe, simple and smart. We know safety and security are the top priorities of our customers, cardholders and partners, so we won’t stand still in developing new and better ways to keep payments safe. Do you have experience managing investigations, risk, compliance, audit, merchant monitoring, or brand protection processes? • Do you have strong knowledge of investigative case management, referral intake, evidence review, customer response evaluation, and assessment support? • Are you a people leader with sound judgment, stakeholder management, and program execution skills? • Are you collaborative, detail-oriented, and able to manage a global investigations function that complements operations, enablement, and governance routines? Mastercard’s Franchise Brand Performance Team advances ecosystem health and profitability by engaging our customers to optimize performance and to enhance the strength of our brand, acceptance network, and data. Role • Ensure investigations are

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 Analyst, Customer Performance, Brand-1 Overview Mastercard operates the world’s fastest payment processing network, connecting consumers, financial institutions, merchants, governments, and businesses in more than 210 countries and territories. Every day, everywhere, we use our technology and expertise to make payments safe, simple and smart. We know safety and security are the top priorities of our customers, cardholders and partners, so we won’t stand still in developing new and better ways to keep payments safe. • Do you have experience conducting investigations, reviewing evidence, and documenting case outcomes? • Do you have knowledge of merchant onboarding, monitoring, customer response review, and potential Mastercard Standards violations? • Are you a high performer with strong analytical, documentation, and project management skills? • Are you collaborative, detail-oriented, and able to support credible investigations in a fast-paced environment? Mastercard’s Franchise Brand Performance Team advances ecosystem health and profitability by engaging our customers to optimize performance and to enhance the strength of our brand, acceptance network, and data. Role • Preserve the integrity of the Mastercard brand by conducting investigative case work under the Business Risk Assess

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. Senior Engineering Manager, SDET — Okta Identity Governance (OIG) 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 Okta Identity Governance Team Okta Identity Governance (OIG) is Okta's Identity Governance and Administration solution, responsible for some of the most critical and visible workflows in enterprise identity: how people request access, how approvers grant it, how entitlements are enforced, and how organizations prove to auditors that only the right people have the right access. OIG is the leading contributor to Okta's new product bookings, and it runs inside some of the largest enterprises in the world — the kind of accounts where a single tenant carries hundreds of thousands of identities across thousands of applications. Quality here is a compliance bar, not just a user experience one. When a governance product has a defect, a company can stay over-provisioned on access it believes it revoked, or hand an auditor evidence that isn't true. The Senior Engineering Manager, SDET Oppo

Business Analyst (Product Operations Specialist) (3 month Fixed Term Role with scope to extend) New York/ Remote US (with 2 days per week office time in New York) Prolific Prolific is not just another player in the AI space – we are the architects of the human data infrastructure that's reshaping the landscape of AI development. In a world where foundational AI technologies are increasingly commoditized, it's the quality and diversity of human-generated data that truly differentiates products and models. The role Prolific for AI takes on a wide and fast-moving range of customer projects across our biggest AI accounts. Every project has its own requirements, systems, and stakeholders – and right now, that complexity lives in people's heads rather than on paper. We're looking for a Business Analyst / Product Operations Manager to fix that. You’ll get into the weeds of each project's requirements and systems, and turn that complexity into visual maps that the whole team can work from. You’ll be the person who steps back across them, spots the patterns, and tells us what's repeating, what's diverging, and what should become a reusable playbook. You'll also own how requests reach the product team in the first place, building the internal intake process that determines how we become aware of, understand, and prioritise customer asks. Impact: You'll bring order and visibility to a high-throughput, high-complexity part of the business. Every pilot you map makes the next one faster to run and easier to hand off. Experience: You’ll come from a Product or Delivery or Operations background and have cross-functional skills. Building the plane while flying it should excite you, not scare you. You're comfortable being the person who asks the detailed questions until the system actually makes sense – and you know how to represent what you've learned so that other people can act on it immediately, without a meeting. Domain: You'll sit within Prolific f

About the Team DoorDash is building the world’s most reliable on-demand logistics engine for delivery! We’re looking for machine learning engineer interns to join our fast-growing engineering team to help us develop a 24x7 global infrastructure system that powers DoorDash’s three-sided marketplace of consumers, merchants, and dashers. About the Role As a Machine Learning Engineer intern at Doordash, you’ll work on tackling new challenges in machine learning and artificial intelligence. You’ll conduct research that can be applied across Doordash engineering teams and engage in external collaborations and mentoring, while also performing research in any of the following areas: Auction, Game theory, Recommender systems, Ranking, AdTech, Computer Vision, Causal Inference, and Big data analytics. We offer a 12-week summer internship program in our San Francisco, Sunnyvale, New York, or Seattle offices. You’re excited about this opportunity because you will… Use cutting-edge research in ML/AI, NLP, RecSys, Ranking, Computer Vision, Causal Inference, Ad Tech, Graph analysis to solve real-world problems across discovery, ads,forecasting, fulfillment and search experiences at Doordash. Contribute and execute on research ideas that can be applied and used to improve product experience at Doordash. Collect, analyze, and synthesize findings from data and use these insights to build relevant ML models. Write clean, efficient, and sustainable code We’re excited about you because you… Are working towards a Masters degree in Computer Science, ML, NLP, Statistics, Information Sciences or related field and are graduating between Fall 2027 & Summer 2028 Have a mastery of at least one systems languages (Java, C++, Python, Kotlin, GoLang) or one ML framework (Tensorflow, Pytorch, MLFlow) Have experience in research and in solving analytical problems Are a strong communicator and team player. Have a passion for applied ML and the Doordash product Ideally have

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

About the Team DoorDash is building the world’s most reliable on-demand logistics engine for delivery! We’re looking for machine learning engineer interns to join our fast-growing engineering team to help us develop a 24x7 global infrastructure system that powers DoorDash’s three-sided marketplace of consumers, merchants, and dashers. About the Role As a Machine Learning Engineer intern at Doordash, you’ll work on tackling new challenges in machine learning and artificial intelligence. You’ll conduct research that can be applied across Doordash engineering teams and engage in external collaborations and mentoring, while also performing research in any of the following areas: Auction, Game theory, Recommender systems, Ranking, AdTech, Computer Vision, Causal Inference, and Big data analytics. We offer a 12-week summer internship program in our San Francisco, Sunnyvale, New York, or Seattle offices. You’re excited about this opportunity because you will… Use cutting-edge research in ML/AI, NLP, RecSys, Ranking, Computer Vision, Causal Inference, Ad Tech, Graph analysis to solve real-world problems across discovery, ads,forecasting, fulfillment and search experiences at Doordash. Contribute and execute on research ideas that can be applied and used to improve product experience at Doordash. Collect, analyze, and synthesize findings from data and use these insights to build relevant ML models. Write clean, efficient, and sustainable code We’re excited about you because you… Are working towards a PhD degree in Computer Science, ML, NLP, Statistics, Information Sciences or related field and are graduating between Fall 2027 & Summer 2028 Have a mastery of at least one systems languages (Java, C++, Python, Kotlin, GoLang) or one ML framework (Tensorflow, Pytorch, MLFlow) Have experience in research and in solving analytical problems Are a strong communicator and team player. Have a passion for applied ML and the Doordash product Ideally have work

Technical Support Manager About the role: We are looking for a technically skilled, self-motivated, customer-focused manager to lead a team of high energy Support Engineers. In this role you will be responsible for hiring, developing and mentoring team members as well as delivering against key performance metrics. You'll lead process improvements for customer and partner growth, retention, and excellence, while fostering individual contributions and driving cross-functional projects that spark innovation and collaboration. You need to be comfortable working in a fast paced environment and continuously challenge the team to step outside their comfort zone. Minimum Education Requirement This position requires a U.S. Bachelor's degree (or foreign equivalent) in Computer Science, Software Engineering, Information Systems, Data Science, or a closely related technical field. This requirement is a minimum and cannot be substituted by work experience alone. What You Will Be Doing Become a product expert and stay technically close to complex and critical customer escalations. Lead a team of exceptional product experts providing the Sigma user base with an excellent customer experience. Hire, develop and train a strong team of Support Engineers on an ongoing basis. Own strategic areas of the Support organization end to end, from strategy through measurable outcomes. Partner across Engineering, Product, Customer Success, Sales, and Marketing to solve customer challenges and drive cross-functional outcomes. Drive performance against key Support metrics, including CSAT, Initial Response, SLA, and Time to Resolution. Continuously refine processes to optimize efficiency, elevating customer support operations. Uncover golden insights within Support data, translating them into actionable strategies that improve customer experience, operational efficiency, and business outcomes. Develop a reputation for excellence, high credibility and integrity with

Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. As a PCB Power Design Engineer, you will design and optimize power distribution systems for Tenstorrent’s next-generation AI accelerator cards, balancing performance, area, cost, and reliability. You will contribute across the full power design lifecycle, from component selection and simulation through board bring-up, validation, debugging, and production readiness. Working closely with hardware, firmware/software, thermal, mechanical, and validation teams, you will help deliver robust power architectures for high-performance AI systems. This role is hybrid, based out of Toronto, Canada. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting. Who You Are An electrical engineer with experience designing, analyzing, and debugging power distribution systems for high-performance or high-power products. A hands-on engineer who enjoys moving from schematics and simulations into lab bring-up, testing, troubleshooting, and design validation. A systems-oriented collaborator who can work effectively across hardware design, firmware/software, thermal, mechanical, and validation teams. A detail-oriented problem solver who balances electrical performance, power integr

Role Summary Scale builds AI applications for organizations where reliability, security, and measurable results matter. Our core platform, SGP, gives teams the capabilities to build, deploy, evaluate, and operate those applications in customer environments. We're looking for a product leader to own the strategy and roadmap for SGP's core platform and lead the PM team responsible for it. You will work with customers, platform engineering, and forward deployed teams to build capabilities customers need, productize work developed in the field when it has broader value, and improve how teams build, deploy, and operate AI applications. This is a hands-on leadership role. You will connect work across teams into a coherent product, make difficult scope and investment decisions, and stay close enough to the details to know whether what we ship works for the people using it. What you'll do Own the platform strategy and roadmap. Prioritize across developer experience, capabilities customers need, and productizing work built in the field where it has broader value. Sequence investments against customer value, commitments, and dependencies. Define how the product should work. Work with users and engineers to write clear requirements and vibe code prototypes, user journeys, and measure success through customer outcomes, capability adoption, delivery time, and production performance, and follow through on gaps after launch. Align teams across the business. Work with platform engineering, forward deployed PMs, and business leaders to agree on shared capabilities, rollout priorities, and necessary differences across environments. Make clear what is available, where it works, and what remains to be delivered. Build and lead a strong PM team. Establish clear ownership across related product areas, hire and coach PMs, and raise the quality of product thinking and written requirements. Stay directly involved in the most consequential decisions. What we're looking for A track record of