Systems And Solutions Engineer in Canada

Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Why this role? As a Machine Learning Engineer specializing in pretraining data, you will play a pivotal role in developing the data pipeline that underpins Cohere’s advanced language models. In this role, you will conduct data ablations to evaluate data quality and construct pre-training data mixtures to enhance model performance. By combining research and engineering, you will bridge the gap between raw data and cutting-edge AI models, directly contributing to improvements in critical training metrics like throughput and accelerator utilization. Your work will be essential to Cohere’s mission of delivering efficient and reliable language understanding and generation capabilities, driving innovation in natural language processing. If you are passionate about transforming data into the foundation of AI systems, this role offers a unique opportunity to make a meaningful impact. Please Note: We have offices in London, Paris, Toronto, San Francisco and New York but also embrace being remote-friendly! There are no restrictions on where you can be located for this role between EST and EU. As a Member of Technical Staff, Pre-Training D

Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Why this role? This role will focus on evaluating coding tasks, requiring you to review and debug code, navigate repository architecture, and analyze model trajectories. Your work will contribute to our model development efforts and the logic our models apply when completing task requests. Please note : This is a part-time independent contractor position available within Canada. We seek candidates who are able to commit to 16 hours per week minimum at a 40 CAD/hour contract rate. This role is BYOD 💻 - Bring Your Own Device (laptop). Remote work within Canada. 12 month contract. Performance incentives included! As a Data Annotation Specialist, you will: Evaluate the model's ability to respond to coding requests, workflows, and code base-related questions using available tools. Assess agent trajectories and model capabilities for code generation and debugging requests. Prompt models to complete complex coding tasks and review the accuracy of generated responses. Label, proofread, and improve machine-written and human-written software engineering-related outputs. Report quality and performance trends related to model/agent behavio

Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! We're looking for an Engineering Manager to lead our Deployment Engineering team. This isn't a typical management role — we need someone who leads from the front, gets their hands dirty, and drives impact. You'll manage a team of Forward Deployed Engineers who are on the front lines of deploying Cohere's North platform into customer environments. You should be ready to be a force to be reckoned with. Location: North America (remote-first) What You'll Do Lead and mentor a team of Forward Deployed Engineers Drive end-to-end deployment of North in private cloud and on-premises environments Take ownership of customer success from technical implementation through delivery Collaborate closely with Product, Engineering, and Sales to shape how we deliver AI to enterprises Mentor your team on cloud infrastructure, Kubernetes, and enterprise-grade deployments Optimize performance for OpenSearch, databases, and other K8s services Define scaling guidelines for GPU and CPU compute resources Build processes & technology that scales — we're growing fast. What We're Looking For 5+ years of experience in software engineering with demonstrate

Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Why this role? To have the opportunity to collaborate with Cohere researchers and tools on designing and implementing novel research ideas and shipping state-of-the-art models to production. We have openings in teams covering base model training, retrieval augmented generation, data and evaluation, safety, and finetuning, to name a few; and we are open to receiving intern applications in any research area relating to LLMs to broaden your research connections while obtaining deep experience in a growing AI startup. Please Note: To be eligible for a Research Internship, you must be currently pursuing a PhD in Machine Learning, NLP, or a related discipline. You need to be available for a full-time internship that lasts for 4-6 months. As a Cohere Research Intern, you will: Conduct cutting-edge machine learning research, building and training large language models. Focus on research projects aimed at expanding the frontier of knowledge in language modelling and associate areas such as evaluation, multimodal models, optimisation etc. Disseminate your research results through the production of publications, datasets, and code. Contrib

About Ramp Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $200B in annualized spend flows in and out of 70,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. About the Role Commercial Account Managers at Ramp are the primary relationship owners post-implementation, responsible for driving product adoption, spend activation, and long-term account growth across a portfolio of 150–200 commercial customers. As Ramp’s first Account Manager dedicated to Canadian-based customers, you’ll own a portfolio of Canadian commercial accounts; deepening relationships, leading strategic conversations, and identifying opportunities to expand Ramp’s footprint while developing a deep understanding of their local needs and helping shape Ramp’s growing presence in Canada. What You’ll Do Build and nurture strong relationships across new and existing high-value commercial customers to better achieve their needs and manage all reporting of health within accounts Develop deep, multi-threaded relationships with decision makers at your customers Drive spend across your book of business by owning retention, adoption, expansion within existing products, and growth across your your accounts Lead Executive Business Reviews within your

About Ramp Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $200B in annualized spend flows in and out of 70,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. About the Team and Role Scaled Customer Activation owns the onboarding, activation, and early growth of Ramp’s self-service customers. We are placing a big bet on the belief that there is significant untapped potential in our self-service accounts. As an early member of the team, you will have the opportunity to help build and refine Ramp’s International Customer Success team and define the scaled customer implementation motion to drive activation. What You'll Do Become an expert in the full range of integration and configuration options for Ramp’s suite of products, and in turn drive efficient, thorough, and complete onboarding of new Ramp customers at scale Directly own micro-SMB and SMB accounts 1:1, ensuring they can fully onboard onto Ramp in 60 days and <2 calls Balance priorities and multiple tasks supporting implementation, follow-up, and proactive outreach Partner closely with the Product team to ensure customer feedback and pain points are heard, reviewed, and prioritized when needed Identify areas of opportunity where we could automate

About Ramp Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $200B in annualized spend flows in and out of 70,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. About the role As the founding Channel Partner Manager for Canada, you will build the partner motion that helps Canadian businesses discover, evaluate, and adopt Ramp through trusted advisors and ecosystem partners. This is a zero-to-one role. You will own the full partner lifecycle, from identifying and engaging Canadian accounting, advisory, private equity, and venture capital partners through signing, enablement, activation, and partner-sourced pipeline. Your early results will help determine how Ramp scales its Canadian channel motion. You will work closely with Sales, Growth, Product, Engineering, and the broader Partnerships organization. The right person is a hands-on builder: equally comfortable opening a new relationship, running a partner meeting, solving an operational blocker, and turning early learnings into a repeatable playbook. What you’ll do Build Ramp’s Canadian channel strategy and operating rhythm from the ground up. Research, identify, source, qualify and sign net-new Canadian partners. Create joint go-to-market and activation p

About Ramp Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $200B in annualized spend flows in and out of 70,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. About the role As a Business Development Representative in our Toronto office, you will be focused on building Ramp’s presence in the Canadian market. In this high-velocity, high-impact outbound role, you will create qualified opportunities for Ramp’s Account Executives and bring in high-quality pipeline. Our sales organization is looking for someone who is hungry, highly coachable, self-motivated and has a natural inclination for selling – a builder who can perform in ambiguity. As part of our early-stage team, you’ll act as the initial point of contact in prospecting and qualifying leads. If you’re eager to make an impact, embrace challenges and are passionate about playing a key role in defining Ramp’s presence in Canada and accelerating growth in this new market, this role is for you. What you’ll do Source new business across Canada through outbound prospecting and outreach Identify the right finance, operations, and executive stakeholders within target accounts. Execute thoughtful, personalized multi-channel outbound campaigns Run confident col

Engineering Manager, AI Conversation Platform Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career. About the team The newly formed Conversation Platform team aims to build a conversation platform for all merchants who use Stripe. We are doing so by (a) automating the easy tasks, and (b) assisting our users in the difficult tasks. Some examples include customizing the Stripe landing page to suggest bespoke integrations, allowing users to command the Stripe API in natural language, and resolving user issues automatically. We are developing RAG based systems on the latest LLMs as well as fine-tuning our own models. We’re an end-to-end team going from ideas to models to shipping in production. What you’ll do Responsibilities Driving an ambitious vision for AI/ML that benefits our users Setting the technical & process direction for the team based on business goals Brainstorm and coordinate product integrations with partner teams Proposing new ideas and building prototypes Be an integral part of a larger ML community internally & externally Hire & develop a world-class team to deliver high-quality ML systems. Coach engineers to help them grow in their careers and maintain a high bar Who you are We are looking for ML Engineering Managers who are passionate about using ML to improve products and delight customers. You have experience leading teams that develop streaming feature pipelines, build ML models, and deploy them to production, even if it involves making substantial changes to backend code. You a

Engineering Manager, AI Conversation Platform Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career. About the team The newly formed Conversation Platform team aims to build a conversation platform for all merchants who use Stripe. We are doing so by (a) automating the easy tasks, and (b) assisting our users in the difficult tasks. Some examples include customizing the Stripe landing page to suggest bespoke integrations, allowing users to command the Stripe API in natural language, and resolving user issues automatically. We are developing RAG based systems on the latest LLMs as well as fine-tuning our own models. We’re an end-to-end team going from ideas to models to shipping in production. What you’ll do Responsibilities Driving an ambitious vision for AI/ML that benefits our users Setting the technical & process direction for the team based on business goals Brainstorm and coordinate product integrations with partner teams Proposing new ideas and building prototypes Be an integral part of a larger ML community internally & externally Hire & develop a world-class team to deliver high-quality ML systems. Coach engineers to help them grow in their careers and maintain a high bar Who you are We are looking for ML Engineering Managers who are passionate about using ML to improve products and delight customers. You have experience leading teams that develop streaming feature pipelines, build ML models, and deploy them to production, even if it involves making substantial changes to backend code. You a

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 is looking for a Director, Head of Product Marketing to build, lead, and elevate our global PMM function from the ground up. Reporting directly to the Chief Marketing Officer (CMO), your mandate is to establish Product Marketing as a proactive, high-velocity marketing engine and strategic driver. In this role, you will define the core value proposition of Twitch’s product ecosystem for creators and viewers alike. You will act as the crucial connective tissue between Marketing and teams across Product, Engineering, Data Science, Commerce and the broader Go-To-Market teams. You understand that the best marketing on a platform feels like a feature, not a bug. You’ll build systems that move beyond one-off "launch day hype,” anchoring your strategy in continuous lifecycle adoption and creator unit economics. You’ll ensure that our community understands the deep why behind our tools before the what even ships. You can work in San Francisco, CA; Irvine, CA; New York, NY; or Seattle, WA. You Will: Architect the Global PMM Discipline: Lead, coach, and scale a world-class team of product marketers, establishing operational rigor, written strategy briefs and clear accountability loops that prioritize high-impact bets over busywork. Define the Value Tra

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 Opportunity: Okta Access Gateway (OAG) Enterprises run on a mix of modern cloud services and mission-critical on-premises systems (such as Oracle E-Business Suite, SAP, PeopleSoft, and custom legacy web apps). Okta Access Gateway (OAG) solves the enterprise hybrid cloud challenge by extending Okta’s cloud identity, Adaptive MFA, and Zero Trust security policies to on-premises and legacy applications without requiring custom code changes or traditional VPNs. As the Engineering Manager for Okta Access Gateway in Toronto, you will lead and grow a team of software engineers building the next generation of our hybrid access and gateway infrastructure. You will partner closely with Product Management, Architecture, Security, and Quality teams to deliver high-throughput, mission-critical security software deployed across multi-cloud and enterprise datacenters globally. What You’ll Do People Leadership & Team Growth Lead, mentor, and empower an engineering team, fostering an inclusive, high-performance, and psychologically safe engineering culture. Drive career progression, goal setting, regular 1:1s, and continuous feedback to help engineers grow their technical and leadership skills. Attract, interview, and hire diverse engineering talent to scale Okta’s engineering presence in Toronto. Delivery & Operational Excellence Own the end-to-end execution and delivery of key product roadmap initiatives, balancing feature velocity, technical debt, and softwar

Ignite your curiosity. Solve the unsolvable. At Leidos, we do more than write code—we decode the unknown. Our San Diego-based research and engineering team takes on some of the nation’s toughest defense challenges using advanced signal processing, ocean remote sensing, and high-performance computing. We’re seeking a Software Engineer / Computer Scientist who enjoys solving complex problems and pushing the limits of performance. In this role, you’ll work alongside a multidisciplinary team of scientists and engineers with expertise in hydrodynamics, physics, acoustics, and signal processing to build impactful software that turns massive, complex data sets into meaningful insight. If you are motivated by innovation, energized by collaboration, and excited to see your work support real-world missions, this could be the right opportunity for you. What You’ll Do Collaborate with scientists and engineers to design, develop, and optimize advanced algorithms for next-generation radar, optical, and infrared sensor systems. Build scalable, high-performance backend systems for scientific computing in distributed environments. Integrate, refactor, and improve scientific codebases to increase efficiency and scalability. Translate and optimize existing code for GPU/CUDA acceleration and parallel or distributed execution. Test, document, maintain, and enhance complex software in Linux/Unix environments. Contribute in a collaborative environment that values technical excellence, creativity, and continuous growth. Required Qualifications Bachelor’s degree in Computer Science, Applied Mathematics, Physics, or a related field with 4&#43; years of backend software development experience, or a Master’s degree with 2&#43; years of experience. Equivalent experience may be considered in place of a degree. U.S. citizenship and the ability to obtain a Top Secret clearance; active Top Secret clea

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 Privileged Access Management (PAM) is an identity-centric approach to a common and critical privileged access use case. Our elegant Zero Trust architecture is purpose-built for the modern cloud and helps customers solve challenging security and operations pain points at scale. We're looking for a Senior level Platform Engineer to join a team of highly skilled and talented team players who are proud of what they own and deliver. Our elite team is fast, creative, and flexible; with a weekly release cycle and individual ownership, we expect great things from our engineers and reward them with stimulating new projects, new technologies, and the chance to have significant equity in a company that is changing the cloud computing landscape forever. What you’ll do Leverage cutting-edge AI pair-programmers and LLMs (such as Copilot and Claude) to accelerate the development of secure, enterprise-grade Privileged Access Management (PAM) products. Work with engineering teams to design, develop and deliver cloud-based infrastructure projects on a modern tech stack (Kubernetes/EKS, RDS, DynamoDB, Kinesis, MKS, Redis, OpenSearch, Docker, Terraform on AWS) Drive evaluation, development, and rollout of microservices Operate, support, and upgrade shared services and frameworks. Scale these as their usage invariably grows along with Okta's business. Evaluate and scale existing systems to meet specialized requirements and support Okta’s future business ne

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! Senior Staff Backend Engineer About the Team We build enterprise software that helps organizations optimize sales performance, enabling go-to-market agility. Our engineering organization includes multiple product application teams responsible for delivering core customer-facing capabilities. We are seeking a Senior Staff Backend Engineer to join our application teams and help set technical direction across multiple domains within engineering. You'll work alongside staff, senior, and early-career engineers, and partner closely with engineering leadership to define, evolve, and scale the systems that power enterprise-grade product workflows. This is an opportunity to own complex, multi-domain technical problems and shape product direction beyond a single team. We are low on meetings, high on accountability. Most of the teams are in the EST time zone, but we have a few located in AST, PST, and Central as well. What you'll be doing You will play a pivotal role in shaping the technical direction of our application stack across multiple domains. You will lead development efforts for our most complex initiatives, the kind that span two or more teams or product areas, and serve as a technical benchmark for system design, code quality, and long-term maintainability. You'll operate at the intersection of data modelling, business logic, and enterprise-scale reliability, and your work will often set standards that neighboring teams adopt. This remains a hands-on