Materials Management Associate Jobs

Chez Lyft, notre mission est de servir et de connecter. Nous y parvenons en favorisant un environnement de travail où chacun trouve sa place et a la possibilité de s'épanouir. Lyft connecte les gens aux transports pour transformer notre façon de vivre et de nous déplacer dans nos communautés. Nous sommes un chef de file mondial de la micromobilité : nous fournissons le système complet qui alimente BIXI (dans la région de Montréal), ÀVélo à Québec, et nous exploitons des services de vélos en libre-service à New York (Citi Bike), Chicago (Divvy), San Francisco (Bay Wheels), Portland (Biketown), Boston (BlueBikes) et Washington D.C. (Capital Bikeshare). Notre matériel et nos logiciels sont utilisés dans plus de 45 marchés à l’international pour alimenter les systèmes de vélos et de trottinettes. Nous recherchons un chef de produit dynamique et passionné pour rejoindre nos bureaux de Montréal ou de Longueuil et contribuer à la croissance de nos activités internationales auprès des entreprises. En tant que chef de produit pour les logiciels d’entreprise, vous piloterez le développement de nouvelles fonctionnalités sur la plateforme de micromobilité complète de LUS. Vous travaillerez à la conception, à la mise en œuvre et au déploiement de ces fonctionnalités au sein d’une équipe logicielle pluridisciplinaire, en étroite collaboration avec d’autres équipes de LUS, notamment les équipes matérielles et logicielles. Vous collaborerez avec notre équipe commerciale afin d’anticiper les opportunités futures et de garantir que nous disposons de la gamme de produits adéquate pour atteindre nos objectifs de croissance. Pour accompagner notre large clientèle, vous excellerez dans le tri et la priorisation des demandes clients en proposant les solutions les plus évolutives et réutilisables. Cette opportunité vous permettra d'avoir un impact international, en travaillant sur un produit en pleine expansion qui transforme les villes, avec un fort soutien et une dynamique d'entreprise s

About the Team OpenAI's research training infrastructure powers how our frontier models are trained and evaluated. The Simulation team sits at the intersection between the agentic harness that powers OpenAI's products and the research infrastructure where GPT-next is trained, ensuring that our model's training environment is as realistic as possible. This team owns the integration layer that connects our production harness capabilities into the training stack. The work is highly cross-functional and high leverage: researchers depend on it to run experiments and evaluations reliably as well as to develop the next generation of harness capabilities. Failures in this surface can materially affect training velocity and correctness. About the Role We're looking for a Principal Software Engineer to lead the architecture and evolution of the Simulation Platform. You'll own a critical interface between research and engineering, building the systems, APIs, and operational patterns that let researchers use agentic coding infrastructure safely and effectively in training environments. This role is ideal for a senior backend or infrastructure engineer with strong technical judgment, product sense for highly technical users, and the ability to drive execution across multiple teams. The highest-leverage work is building robust infrastructure that supports and accelerates research without compromising engineering quality. In this role, you will Design, build, and evolve the integration between the Codex harness that powers OpenAI's products and research training infrastructure used for training GPT-next Build a platform for our LLMs to train and be evaluated in simulated environments that mimic their deployment setting as closely as possible, on every axis: agentic harness, compute substrate, timing, tools, data sources, humans in the loop, and more Own major integration surfaces end-to-end, from architecture and API design through rollout, operations, and long-term maintenance Bu

Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritionals and branded generic medicines. Our 122,000 colleagues serve people in more than 160 countries. JOB DESCRIPTION: Working at Abbott At Abbott, you can do work that matters, grow, and learn, care for yourself and family, be your true self and live a full life. You’ll also have access to: Career development with an international company where you can grow the career you dream of. Employees can qualify for free medical coverage in our Health Investment Plan (HIP) PPO medical plan in the next calendar year. An excellent retirement savings plan with high employer contribution Tuition reimbursement, the Freedom 2 Save student debt program and FreeU education benefit - an affordable and convenient path to getting a bachelor’s degree. A company recognized as a great place to work in dozens of countries around the world and named one of the most admired companies in the world by Fortune. A company that is recognized as one of the best big companies to work for as well as a best place to work for diversity, working mothers, female executives, and scientists. MAIN PURPOSE OF THE ROLE Individual contributor with comprehensive knowledge of materia

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 Product Sales are deep functional and technical specialists who lead and advise on Stripe's most strategic and complex deals. We have a variety of open roles across the Link organization, including building a new team to focus on banking. This team sits at the intersection of Stripe's highest-leverage growth areas: the Link consumer network, Financial Connections, Optimized Checkout Suite, and alternative payment methods including bank payments and BNPLs. Selling them together is a materially stronger proposition than selling any alone — and this role owns that combined motion across top enterprise segments in key verticals. What you'll do As an Account Executive, Product you'll lead Stripe’s largest, most complex deals for your product area. You will be the go-to expert on the product offering, integration shapes, and competitive landscape. You'll partner closely with core Account Executives, Solutions Architects, Product, Engineering, and Marketing to land and expand across new and existing customers — while shaping how Stripe brings this combined offering to market in the segment. You will be instrumental in leading in depth product discussions and negotiations as well as building and executing against our go to market strategy. You are a top performing salesperson capable of engaging in business-level and technical conversations at multiple levels of the organization, including CEOs, CTOs, and CFOs. You are a strategic thinker capable of

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. Joignez-vous à Hasbro à titre de spécialiste des systèmes (remplacement de congé de maternité, 12 mois) Joignez-vous à Hasbro en tant que spécialiste des systèmes dans le cadre d'un remplacement de congé de maternité d'une durée de 12 mois , et devenez un membre clé de notre équipe innovante à Longueuil (Québec), Canada . Cette excellente occasion vous permettra de contribuer au développement, à l'amélioration, aux essais et à la maintenance des environnements systèmes qui soutiennent nos activités de création et de développement de produits. Vous collaborerez étroitement avec des professionnels expérimentés afin d'assurer le bon fonctionnement et l'efficacité de nos systèmes. Ce que vous ferez Développer, améliorer et tester des flux de travail automatisés soutenant le développement de produits ainsi que d'actifs numériques et imprimés. Soutenir les essais d'acceptation par les utilisateurs (UAT) des nouveaux flux de travail ou des flux mis à jour en corrigeant les anomalies et en mettant en œuvre les demandes de modification formulées par les utilisateurs. Proposer et développer des solutions permettant aux utilisateurs des systèmes de mieux gérer leur charge de travail et de mesurer leur performance à l'aide de tableaux de bord. Concevoir des recherches permettant d'extraire des données des systèmes afin d'alimenter les rapports utilisés par les utilisateurs et les analystes de données. Élaborer du matériel de formation et offrir des séances de formation aux nouveaux utilisateurs des systèmes. Collaborer avec les spécialistes d

Chez Lyft, notre mission est de servir et de connecter. Nous y parvenons en favorisant un environnement de travail où chacun trouve sa place et a la possibilité de s'épanouir. En tant que leader de la micromobilité, Lyft alimente des millions de trajets quotidiens dans plus de 200 villes grâce à nos technologies de covoiturage, de partage de vélos et de trottinettes de pointe. Notre bureau de Montréal est le berceau du premier système de vélos en libre-service automatisé en Amérique du Nord, Bixi, qui a depuis révolutionné la mobilité urbaine. Aujourd'hui, notre système pionnier est opérationnel dans plus de 50 villes à travers le monde, y compris Barcelone, Bogota, Boston, Buenos Aires, Chicago, Dubaï, Londres, Madrid, Mexico, Montréal, New York, Rio de Janeiro, San Francisco et Washington DC, pour n'en nommer que quelques-unes. Rejoignez-nous et faites partie de l'équipe derrière certains des plus grands systèmes de partage de vélos au monde! Le rôle d'ingénieur(e) en micrologiciel chez Lyft Urban Solutions (LUS) est crucial pour le développement et la livraison des solutions matérielles de micromobilité de Lyft, qui incluent les vélos électriques, les trottinettes, les batteries et les stations. Nous recherchons un(e) ingénieur(e) en micrologiciel possédant des compétences techniques exceptionnelles pour contribuer aux programmes d'introduction de nouveaux produits (NPI) et de durabilité de la flotte, qui ajoutent de la valeur aux villes du monde entier utilisant nos produits. Les ingénieur(e)s en micrologiciel chez Lyft collaborent étroitement avec les équipes de matériel, des opérations et de fabrication. Ce rôle exige donc une solide expertise technique, des compétences en leadership et en communication. Ce sont des résolveurs de problèmes proactifs qui font avancer les initiatives, assurant le succès de livraisons clés qui ont un impact significatif sur l'entreprise. Responsabilités : Développer des fonctionnalités pour les systèmes embarqués de notre gamme d

Chez Lyft, notre mission est de servir et de connecter. Nous nous efforçons d'y parvenir en cultivant un environnement de travail inclusif où chaque membre de l'équipe a sa place et peut s'épanouir. Lyft Urban Solutions gère les systèmes de vélos et de trottinettes en libre-service qui transportent des millions de personnes dans plus de 60 villes à travers le monde. Nous avons créé le premier système de vélos en libre-service automatisé d'Amérique du Nord et restons à la pointe de la révolution de la micromobilité. Nos systèmes sont présents partout dans le monde : de Citi Bike à New York à BIXI à Montréal, en passant par Divvy à Chicago, Capital Bikeshare à Washington D.C., et des systèmes emblématiques à Austin, Barcelone, Bogota, Boston, Buenos Aires, Columbus, Detroit, Dubaï, Londres, Madrid, Mexico, Monaco, Pittsburgh, Portland, Rio de Janeiro, San Francisco, Toronto et bien d'autres villes. Nous ne sommes pas de simples fournisseurs de technologies : nous exploitons ces systèmes, en développant les logiciels, le matériel et les opérations qui permettent à la micromobilité urbaine de fonctionner à grande échelle. Envie de contribuer à façonner le quotidien de millions de personnes dans leurs villes ? Nous recherchons un(e) ingénieur(e) logiciel Android pour rejoindre l'équipe Expérience utilisateur au sein de Lyft Urban Solutions. Votre travail contribuera directement à l'expérience numérique de nos plateformes de vélos et de trottinettes en libre-service. Vous développerez les systèmes backend qui garantissent une expérience fluide et rapide pour les programmes d'abonnement, les fonctionnalités destinées aux utilisateurs et les interactions en temps réel. Ce recrutement est urgent ; l'équipe a des objectifs ambitieux pour 2026 et recherche des ingénieurs compétents, opérationnels immédiatement. Nos ingénieurs sont des personnes brillantes, pragmatiques et capables de résoudre les problèmes rapidement, assurant ainsi un déploiement continu en production. Respon

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? Large Language Models (LLMs) continue to push the boundaries of what AI systems can do — but inference is still the bottleneck. The Model Efficiency team is responsible for pushing the limits of LLM inference efficiency across our foundation models. We explore and ship breakthroughs across the model execution stack, including: model architecture and MoE routing optimization decoding and inference-time algorithm improvements software/hardware co-design for GPU acceleration performance optimization without compromising model quality Please Note: We have offices in Toronto, Montreal, San Francisco, New York, Paris, Seoul and London. We embrace a remote-friendly environment, and as part of this approach, we strategically distribute teams based on interests, expertise, and time zones to promote collaboration and flexibility. You'll find the Model Efficiency team concentrated in the EST and PST time zones, these are our preferred locations. As a Staff Research Engineer, you will develop, prototype, and deploy techniques that materially improve how fast and efficiently our models run in production. You may be a good fit

Une entreprise qui transforme le monde qui nous entoure Palantir construit le premier logiciel au monde pour les décisions et les opérations axées sur les données. En fournissant les bonnes données aux personnes qui en ont besoin, nos plateformes permettent à nos partenaires de développer des médicaments vitaux, de prévoir les perturbations de la chaîne d’approvisionnement, de localiser les enfants disparus, etc. Le poste La plateforme Palantir est déployée dans de nombreux environnements de missions critiques, y compris les zones de combat et les réseaux classifiés, de l’arrière d’un Humvee au cloud, en passant par un poste de commandement. Cela signifie opérer dans différents environnements cloud, dans des réseaux isolés physiquement sur site et en périphérie, à grande échelle. Nous recherchons des ingénieur(e)s d’infrastructure Edge pour développer, exploiter et maintenir des services hautes performances, évolutifs et fiables pour notre infrastructure de production. Ce rôle exige une attention particulière aux systèmes bas niveau, y compris le déploiement et la gestion de serveurs physiques « bare metal » dans des centres de données traditionnels et des environnements Edge. Vous serez responsable de l’ingénierie physique du réseau et du développement d’une infrastructure robuste pour garantir les performances de la plateforme Palantir. En plus d’assurer la performance et la fiabilité, vous jouerez un rôle essentiel dans le développement et la mise à l’échelle de nouveaux environnements dans une capacité de déploiement avancé, y compris sur site. Les ingénieur(e)s d’infrastructure Edge combinent une expérience d’ingénierie au niveau du matériel avec la volonté d’améliorer les systèmes existants et la créativité nécessaire pour développer de nouvelles solutions afin de relever des défis en constante évolution. Notre équipe s’efforce d’automatiser les processus dans la mesure du possible en utilisant les outils les mieux adaptés. Nous croyons fermement que les équ

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here . Intro : The Service Communications team manages the foundational high-layer networking systems ensuring reliable, secure, and performant service-to-service interactions at Pinterest. Our Envoy-based mesh and multi-language frameworks provide critical primitives for hundreds of internal services, and we are looking for a Staff Engineer to lead technical strategy across identity, traffic optimization, and platform scaling. What you’ll do: Architect and deploy advanced service mesh features, focusing on service discovery, traffic shaping, and deep observability using Envoy proxy. Lead the organization-wide adoption of service identity and mTLS to satisfy critical AAA security requirements for service-to-service paths. Design traffic optimization primitives like locality-aware routing to materially reduce data transfer costs for high-vo

Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! The Figma Research team is hiring a top-tier researcher to support our core product, Figma Design, and actively develop and execute research to drive scale, tap new opportunities, and ensure Figma continues pushing innovation in design and production tooling. Because Figma Design is used by so many of the top tier software companies around the world, you will be uniquely positioned to advance the state of how product development works across the entire industry. The ideal candidate brings a deep passion for research and strategy, raising the bar with AI led experiences, and laddering key user needs to critical product decisions and broader business impact. Partnering with Product, Design, and Engineering, you will tackle our highest impact problems, influencing company strategy for both the short and long term. This is a full time role that can be held from one of our US hubs or remotely in the United States. What you’ll do at Figma: Help Figma grow and innovate by delivering strategic research and recommendations and materially influencing the vision and strategy for Figma Design Partner closely with product leaders to find opportunities, generate strategy, and define success Break down complex business challenges into clear research plans; lead the end to end research process and demonstrate strong storytelling skills to deliver significant impact to Figma’s businesses Harness your product mindset and storytelling chops to influence product roadmap Advocate for the role of Research as a

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Community You Will Join: Airbnb's Payments organization is central to the trust that makes every transaction possible and the Payments Risk and Compliance domain sits at the heart of protecting that trust for guests, hosts, and the platform. The Platform Team plays the role of conductor, enhancing our engineers, designers, and data scientists to build great product experiences. Our Payments Risk Platform Managers (PM) own and lead outcomes related to foundation, growth, and empowerment. This means our PMs set the vision and strategy, the roadmap, and execute on the plans that are developed. The Difference You Will Make: This role sits within Airbnb's Payments Risk and Compliance domain, owning the post-transaction product strategy across the full dispute lifecycle from chargeback processing and representments through pre-arbitration, proactive dispute prevention, and on-platform resolution experiences. You will drive Airbnb's evolution from a chargeback representment into a holistic dispute resolution capability, building the systems, decisioning logic, and guest-facing interventions that reduce net losses while protecting community and marketplace trust. Success in this role means materially reducing Airbnb's losses while balancing impact to community and attrition, expanding pre-arbitration cove

About the Team OpenAI’s Cyber team works to make frontier AI a decisive advantage for defenders. The Cyber Blue Team is an operator-led group focused on turning real defensive problems into better models, useful products, safe Codex workflows, and integrations with the security tools defenders already use. Our ambition is simple: Raise attacker cost. Lower defender toil. Prove it by defending OpenAI; scale it through the ecosystem. We are not setting out to build another SIEM or autonomous SOC. We want to build the AI reasoning and workflow layer that helps security teams investigate threats, create and validate detections, improve their controls, and respond with greater speed and confidence. About the Role We are looking for a Product Manager to help build a new generation of AI-powered cyber defense products. You will work closely with security practitioners, researchers, engineers, designers, internal security teams, customers, and technology partners to turn emerging model capabilities into products that solve meaningful defensive problems. This is an early-stage product role. The work will span product discovery, prototyping, evaluation, development, launch, and iteration. You will help the team identify where AI can create the most value for defenders and translate those opportunities into clear, usable, and trustworthy product experiences. Initial areas of focus may include: Detection engineering and detection-content development Threat hunting and investigation Security validation and control testing AI-agent and MCP runtime defense Integrations with security platforms and enterprise workflows Safe, governed assistance for incident response The specific roadmap will continue to evolve based on model progress, practitioner needs, internal learnings, and customer feedback. In This Role, You Will Work with security practitioners to understand high-value defensive workflows, recurring pain points, and opportunities for AI to materially improve outcomes. Help sh

About the Team OpenAI, in close collaboration with our capital partners, is embarking on a journey to build the world’s most advanced AI infrastructure ecosystem. The Industrial Compute team is central to this mission, setting the core infra strategy and implementing this vision. From site selection to the buildout process, this team sits at the intersection of commercial, technical, strategy, and operations, interacting with teams and executives inside and outside of OpenAI. About the Role The Clean Energy and New Technology Lead will own infrastructure clean energy and emerging energy technology strategy and execution, identifying and deploying scalable solutions that enable resilient, low-carbon compute and data center growth. The role will work closely with regulatory and policy teams to align infrastructure expansion with OpenAI’s long-term environmental and operational objectives. This is an individual contributor lead role and does not have direct reports initially. The role will evaluate where emerging energy technologies can materially improve reliability, cost, carbon, speed, or resilience; translate those options into practical deployment pathways; and help ensure OpenAI’s infrastructure growth remains aligned with sustainability considerations. Key Responsibilities Evaluate emerging energy solutions such as clean firm power, advanced storage, grid flexibility, low-carbon backup power, heat reuse, water-related energy efficiency, and other scalable technologies where relevant. Identify pilot opportunities and deployment pathways that can move promising energy technologies from concept to commercially and operationally credible execution. Translate technical options into clear reliability, cost, schedule, carbon, regulatory, and operational implications for infrastructure decision-making. Partner with energy regulatory, policy, procurement, engineering, deployment, finance, legal, and site-readiness teams to align technology and sustainability choices with

About the Team Our Safety Systems team is at the forefront of OpenAI's mission to build and deploy safe AGI, driving our commitment to AI safety and fostering a culture of trust and transparency. Within Safety Systems, the Model Policy team aligns model behavior with desired human values and norms. We co-design policy with models and for models by driving rapid policy taxonomy iteration based on data and defining evaluation criteria for foundational models’ ability to reason about safety. About the Role Frontier AI systems are rapidly expanding what is possible in cybersecurity and software engineering. These capabilities create major defensive opportunities, but they also raise serious dual-use and misuse risks across areas such as malware development, exploit discovery, vulnerability chaining, credential abuse, cyber intrusion, and autonomous offensive operations. In this role, you will help define how OpenAI’s models should behave in high-risk cybersecurity contexts. You will develop policy frameworks, threat models, taxonomies, evaluations, and behavioral specifications that guide model behavior across training, deployment, and monitoring systems. This role sits at the intersection of cybersecurity, AI safety, threat modeling, evaluation science, and policy implementation. You will work closely with research, engineering, safety training, preparedness, and product teams to build policies that are technically grounded, measurable, enforceable, and responsive to real-world cyber risk. Your Responsibilities: Design and maintain model policies for cybersecurity and frontier-risk domains, especially dual-use and high-risk cyber capabilities. Translate cybersecurity threat models into clear behavioral specifications, evaluation criteria, grading guidance, and system-level mitigations. Define practical boundaries between legitimate security research, defensive workflows, and assistance that could materially enable harmful activity. Build policy artifacts that support i