About the Team OpenAI's mission is to ensure that general-purpose artificial intelligence benefits all of humanity. We believe that achieving our goal requires effective engagement with public policy stakeholders and the broader community impacted by AI. The Global Affairs team builds trusted relationships that help external stakeholders understand advanced AI and ensure that their perspectives inform our work. Within Global Affairs, the National Security Policy team works across OpenAI to understand how increasingly capable AI systems affect security, governance, and democratic resilience, and to advance policies that support the responsible development and use of AI. About the Role OpenAI is seeking a highly organized and skilled Program Manager, National Security Policy Operations to join the Global Affairs team, reporting directly to Sasha Baker, who leads the National Security Policy team. This is a hands-on program management role focused on running the planning, coordination, and execution systems that enable the team to operate effectively. This person will translate team priorities into executable plans, synthesize data and inputs into clear program updates, manage key programs and workstreams, and create the operating discipline that keeps decisions, dependencies, and follow-through on track. This role sits at the center of the National Security Policy team's planning, prioritization, information flow, and execution. Success means giving the team clear visibility into commitments, dependencies, decisions, and risks; reducing fragmented operational work; enabling faster and better-informed decisions; and ensuring priorities move reliably from scoping through completion. The ideal candidate takes deep pride in program management as a craft and is energized by enabling policy and technical experts to do their best work. The role works closely with policy experts but is not primarily responsible for setting policy positions or serving as the team's external po
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Location: 3360 Wolfedale Road, Mississauga, ON (5 days a week on-site) Term: January–April 2027 (4 months), with the potential to extend through August 2027 Schedule: Full-time, Monday to Friday (8:30am-4:30pm) Pay: $26–$30 per hour About Clutch: We’re on a mission to reinvent the way people buy, sell, and own cars. Are you game? Clutch is Canada’s largest online used car retailer, delivering a seamless, hassle-free car-buying experience to drivers everywhere. Customers can browse thousands of cars from the comfort of their home, get the right one delivered to their door, and enjoy peace of mind with our 10-Day Money-Back Guarantee… and that’s just the beginning. Named five years in a row to the Globe & Mail’s list of the Top Growing Companies in Canada and also awarded spots on Deloitte’s Technology Fast 50™ and Fast 500™ lists, we’re looking to add curious, hard-working, and driven individuals to our growing team. Headquartered in Toronto, Clutch was founded in 2017 and currently services Ontario, New Brunswick, Nova Scotia, British Columbia, and Prince Edward Island. Clutch is backed by several world-class investors, including Altos Ventures, Canaan Partners, BMO Capital, iA Financial, and FJ Labs. To learn more, visit clutch.ca. What you'll work on On an assembly line, every unit is the same. In our reconditioning facility, no two cars are the same. One car needs brakes and a detail; the next needs suspension work, bodywork and a part we have to order. Building standard work, staffing models and layouts around that kind of variation is the engineering problem you'll be working on. As a Production Development Engineering Intern, you'll own one main project, start to finish, and support one or two smaller ones. You'll agree on the main project and its target with your manager by the end of week two. Projects we expect to have this term include: Standardized work. Time-study a process within our production areas (I
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are looking for a Senior Manager, 3P Revenue Accounting & Reporting to join our Accounting team. You will own revenue recognition, month-end close and reporting for Claude sold through our cloud service provider (CSP) channels: AWS Bedrock, Google Cloud Vertex AI and Microsoft Azure Marketplace. These channels are among the fastest-growing revenue streams at the company. They run on consumption-based, partner-reported data that changes every month. You will be the accounting point of contact for the finance and partner teams at AWS, Google and Microsoft. Internally, you will partner with Finance, FAB, Engineering and business teams to turn partner billing feeds into accurate, auditable revenue. You will also lead the automation of a close that is still heavily manual. If you want to build the financial infrastructure behind a fast-growing AI company, come join us in our mission to build safe, beneficial AI. Key responsibilities Lead the revenue close for cloud service provider Marketplace within a listed company timeline. Prepare and review revenue, revenue-share, reserve journal entries, accruals and true-ups including memos for accounting assessments and judgments. Own balance sheet reconciliations, reserves, and the usage-to-invoice-to-cash bridge. Perform monthly and quarterly flux analysis and prepare flux decks for leadership. Own quarter-end deliverables, including footnote disclosures, flux commentary and presentations to leadership and Corporate Accounting. Serve as the primary contact for external auditors. Review the work of accountants and contractors, set the close calendar, and keep close packages c
About the Team The DoorDash Enterprise Retail team manages the strategic vision, acquisition, and development of the largest retail partnerships in North America. This team sits within the New Verticals Business Development organization. We support our merchant’s broader e-commerce strategy, helping them find new ways to acquire, engage with and retain customers. We also love to help our partners solve their operational issues at the lowest level of detail; no job is too big or too small. About the Role The Retail Partnerships Senior Associate will help steer the company's effort to adopt and partner with retailers and CPGs at all levels of the sector. eCommerce is expanding, and DoorDash is making meaningful strides to become a leader in this sector. You will report to a Sr. Manager, Retail Partnerships. We expect this role to be flexible in terms of time spent remote, in-office, and traveling to visit merchant partners. You’re excited about this opportunity because you will… Driving and leading on strategic growth initiatives for your Mx portfolio Working with internal product teams to ensure we’re prioritizing the right features for our merchants, dashers & customers Project managing the rolling out hundreds of stores across the country Designing marketing and promotional campaigns for new, returning or churned customers Getting into the field to do a test delivery Gathering insights on consumer behavior and shopping patterns Leading special projects to drive operational efficiency for your partners We’re excited about you because… You’re Impact Motivated -- You have a natural desire to improve the overall business You’re Curious -- You love digging into low levels of detail to extract insights You’re Strategic -- You love to find the win-win in develop novel agreement structures to grow business with partners You’re Resourceful -- You are happy juggling many priorities concurrently and being creative with solutions to move fast You’re Colla
About the Role This Events Manager will support the planning and execution of high-touch creator, press, and executive-facing events at OpenAI. Working under the guidance of the Event Management Lead, this person will own critical workstreams across guest experience, front-of-house operations, vendor coordination, production logistics, and post-event reporting. The ideal candidate is highly detail-oriented, polished under pressure, and experienced in building white glove experiences for high-profile guests, including creators, media, executives, talent teams, and senior external partners. They should bring excellent judgment, a strong hospitality mindset, and a keen eye for the small details that make an event feel seamless, elevated, and deeply considered. In this role, you will: Manage and execute high-touch creator, press, and executive-facing events from end to end, including workstreams, agency management, registration, guest experience, catering, production logistics, and onsite execution. Develop and maintain comprehensive project timelines, tracking all milestones, deliverables, and deadlines to ensure seamless event execution. Source, negotiate, and coordinate with vendors, including caterers, AV providers, and creative production teams, ensuring adherence to OpenAI’s standards and compliance requirements. Oversee attendee registration, check-in processes, and manage event communications, including pre- and post-event outreach. Maintain meticulous financial records, closely monitoring budgets, processing invoices, and reporting on expenditures versus budget targets. Collaborate closely with and communicate effectively with internal stakeholders—including design, procurement, and security—to align all event elements with strategic goals and brand guidelines. Implement and manage safety and security protocols, prioritizing attendee well-being and compliance with health guidelines. Collect, analyze, and report event metrics, attendee feedback, and key learning
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is seeking a Program Manager to join our Accounting organization and help it run as one global team. Accounting is scaling at an unprecedented pace across multiple hubs, and the goals, rhythms, programs, and people that make up the team need to stay connected as we grow. In this role, you will own that connective tissue: the annual goal-setting cycle, the leadership team’s operating cadence, org-wide events and internal communications, and the programs that make a distributed team feel like one. You will partner with Accounting leadership, the People team, Finance Systems, and hub leads. This is a hands-on role with a lot of range: part chief of staff, part program manager, part culture builder. Responsibilities Goals and operating rhythm Run the annual goal setting process and the reporting that tracks progress against those goals. Look at how the org actually operates (meetings, handoffs, planning cycles, decision making) and fix what isn't working. Maintain one org-wide planning calendar that shows close, audit, and team milestones alongside company-wide and team events, so leaders can see the pressure points and plan around them. Build and maintain a simple set of org health metrics (attrition, engagement scores, hiring pipeline, training completion, survey trends) and report on them regularly. Leadership and org-wide events Run our extended leadership team (XLT) program, including agendas, meetings, follow-ups, and action items. Own planning and agenda for the annual offsite and run the quarterly team all-hands. Write the internal updates: a regular team newsletter, plus talking points when le
About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations: San Francisco, CA About the team The Finance team is a critical pillar of Cloudflare’s success, translating strategy into financial outcomes, and serving as a trusted voice to the public markets, the Board, and our shareholders. The Investor Relations team is a small, high-impact group that tells Cloudflare’s financial story to the public markets — translating one of the most differentiated technology platforms in the world in
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is looking for Software Engineers to join the Memory & Search team. We own how Claude remembers you and how it finds what it needs, across Claude.ai, Cowork and Claude Code. That spans the user-facing experience (what Claude remembers, how people see and edit it, how search surfaces the right conversation) and the shared infrastructure underneath it, the memory service, indexing, retrieval and vector search. Memory is one of the biggest levers on whether Claude feels like it knows you. We recently moved memory from a periodically synthesized summary to a dynamic, editable, on-demand system, and then unified it so the same memory follows you across products. Search went from a top user complaint to something people rely on to find past work. The platform is now in place, and the next phase is finding the product form factors that make memory the most compelling and sticky part of using Claude. That is why we are hiring product engineers. The team is strong on infrastructure, and we want people who have shipped user-facing products at scale, have a sharp sense for what makes a product feel good, and have built agentic systems where the model, the tools and the user interface have to work together. You will run short, demo-driven experiments on top of the memory and search stack, decide what to keep based on real usage, and help the whole team think like a product team. If you have founded a company, been an early engineer at a startup, or taken a product from zero to one, you will recognize the way we want to work. This is a trust-sensitive surface. Memory touches privacy, consent and enterprise controls, so
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role Anthropic manages one of the largest and fastest-growing infrastructure fleets in the industry — spanning multiple accelerator families, cpu families and clouds. The Capacity Engineering team is responsible for making sure all our infrastructure resources are accounted for, well-utilized, and efficiently allocated. We own the data, tooling, and operational systems that let Anthropic plan, measure, and maximize utilization across first-party and third-party compute. As an engineer on Capacity Engineering, you will build the production systems that power this work: data pipelines that ingest and normalize telemetry from heterogeneous cloud environments, observability tooling that gives the org real-time visibility into fleet health, and performance instrumentation that measures how efficiently every major workload uses the hardware it’s running on. You will be expected to write production-quality code every day, operate alongside Kubernetes-native infrastructure at meaningful scale, and directly influence decisions around one of Anthropic’s largest areas of spend. You’ll collaborate closely with research engineering, infrastructure, inference, and finance teams. The work requires someone who can move between data engineering, systems engineering, and observability with comfort — and who thrives in a high-autonomy, high-ambiguity environment. This is a pipeline role feeding four areas. Depending on your background and business priority, you’ll focus primarily in one, but the boundaries are fluid and the problems overlap: Data platform Pipelines that ingest occupancy and utilization telemetry from Kubernetes clusters, norma
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role Anthropic manages one of the largest and fastest-growing infrastructure fleets in the industry — spanning multiple accelerator families, cpu families and clouds. The Capacity Engineering team is responsible for making sure all our infrastructure resources are accounted for, well-utilized, and efficiently allocated. We own the data, tooling, and operational systems that let Anthropic plan, measure, and maximize utilization across first-party and third-party compute. As an engineer on Capacity Engineering, you will build the production systems that power this work: data pipelines that ingest and normalize telemetry from heterogeneous cloud environments, observability tooling that gives the org real-time visibility into fleet health, and performance instrumentation that measures how efficiently every major workload uses the hardware it’s running on. You will be expected to write production-quality code every day, operate alongside Kubernetes-native infrastructure at meaningful scale, and directly influence decisions around one of Anthropic’s largest areas of spend. You’ll collaborate closely with research engineering, infrastructure, inference, and finance teams. The work requires someone who can move between data engineering, systems engineering, and observability with comfort — and who thrives in a high-autonomy, high-ambiguity environment. This is a pipeline role feeding four areas. Depending on your background and business priority, you’ll focus primarily in one, but the boundaries are fluid and the problems overlap: Data platform Pipelines that ingest occupancy and utilization telemetry from Kubernetes clusters, norma
JLL empowers you to shape a brighter way . Our people at JLL are shaping the future of real estate for a better world by combining world class services, advisory and technology for our clients. We are committed to hiring the best, most talented people and empowering them to thrive, grow meaningful careers and to find a place where they belong. Whether you’ve got deep experience in commercial real estate, skilled trades or technology, or you’re looking to apply your relevant experience to a new industry, join our team as we help shape a brighter way forward. Planning Manager – Industrial Projects Position Overview Seeking an experienced Planning Manager to lead project planning, scheduling, and controls for industrial facility projects. This role serves as the authority for project scheduling, resource planning, and progress monitoring, ensuring projects are delivered on time, within budget, and meet all performance objectives. The Planning Manager will collaborate with multidisciplinary teams including engineers, construction managers, project mangers, contractors, and clients to deliver exceptional project outcomes. This position requires both technical scheduling expertise and leadership capabilities Key Responsibilities Project Planning & Scheduling Lead comprehensive project planning from FEED (Front-End Engineering Design) through construction completion for industrial facility projects including manufacturing plants, processing facilities, and distribution centers til
Careers that change lives start here. Medtronic is a global leader in healthcare technology with a Mission to alleviate pain, restore health, and extend life. Our 95,000 employees work across more than 150 countries to put patients first — developing innovative medical technologies that improve the lives of 72+ million patients each year. Your unique talents will help shape the future of healthcare while building a career grounded in purpose, growth, and impact. A Day in the Life As we are building our new in-house Service & Repair Customer Care organization, we are looking for Customer Care Representatives who are passionate about delivering exceptional services and who thrive in a fast-moving environment. This is more than a traditional customer service role. You will become a trusted partner for customers, helping ensure that medical devices are repaired, maintained, and returned to service as quickly and efficiently as possible. Your work will directly support healthcare providers and ultimately contribute to patient care. Your work will directly support healthcare providers and ultimately contribute to patient care. Whether you're starting your career, bringing experience from another field, or already an experienced customer care professional, we're looking for people with a customer-first mindset, curiosity, ownership, and a willingness to learn and grow. This position is based in Heerlen and follows a hybrid work arrangement, with a combination of office-based and remote work. Travel is expected to be minimal and primarily associated with business meetings, training, or organizational initiatives. Primary Responsibilities Act as the primary point of contact for customers throughout the service and repair journey Manage service requests, quotations, orders and follow-up activities to ensure outstanding customer experience <l
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role Anthropic manages one of the largest and fastest-growing infrastructure fleets in the industry — spanning multiple accelerator families, cpu families and clouds. The Capacity Engineering team is responsible for making sure all our infrastructure resources are accounted for, well-utilized, and efficiently allocated. We own the data, tooling, and operational systems that let Anthropic plan, measure, and maximize utilization across first-party and third-party compute. As an engineer on Capacity Engineering, you will build the production systems that power this work: data pipelines that ingest and normalize telemetry from heterogeneous cloud environments, observability tooling that gives the org real-time visibility into fleet health, and performance instrumentation that measures how efficiently every major workload uses the hardware it’s running on. You will be expected to write production-quality code every day, operate alongside Kubernetes-native infrastructure at meaningful scale, and directly influence decisions around one of Anthropic’s largest areas of spend. You’ll collaborate closely with research engineering, infrastructure, inference, and finance teams. The work requires someone who can move between data engineering, systems engineering, and observability with comfort — and who thrives in a high-autonomy, high-ambiguity environment. This is a pipeline role feeding four areas. Depending on your background and business priority, you’ll focus primarily in one, but the boundaries are fluid and the problems overlap: Data platform Pipelines that ingest occupancy and utilization telemetry from Kubernetes clusters, norma
About the Team The Decision Systems team helps DoorDash teams make faster, more rigorous, and more trustworthy decisions. We build the analytical systems, statistical methods, and product experiences that power experimentation, causal inference, rollout analysis, metric interpretation, and business impact measurement across DoorDash’s three-sided marketplace. Curie is DoorDash’s experiment analysis product within Decision Systems. It sits at the center of how teams move from hypothesis to analysis to confident action, helping decision makers understand experiments, rollouts, metric movements, and marketplace impact while preserving scientific rigor, velocity, trust, and interpretability. Our work spans experimentation platforms, causal inference, variance reduction, switchback experimentation, metric systems, and AI-assisted analysis workflows. We partner closely with data scientists, engineers, product managers, and operators across DoorDash to translate advanced methods into reliable, scalable systems that improve decision quality and product velocity. Some of the work done in the team was published in articles such as: Design-Aware Variance Reduction for Switchback Experiments: A Comparative Study , Power-Optimal Covariate Adjustment for Switchback Experiments , CUPED on Steroids: Multivariate Covariate Adjustment for Switchback Experiments . About the Role We are looking for a Staff Applied Scientist to provide scientific leadership for DoorDash’s Experimentation Platform. In this role, you will define and advance the statistical, causal inference, machine learning, and AI capabilities that power high-quality decision-making across DoorDash. You will work on challenging problems at the intersection of experimentation, marketplace dynamics, machine learning, and product engineering. Your work will shape how DoorDash teams design experiments, analyze results, interpret noisy marketplace outcomes, and make faster, more trustworthy decisio
P-301 As a Candidate Experience Admin at Databricks, you'll be the engine that powers our in person recruiting efforts, focusing on physical logistics and execution to deliver a smooth, error-free onsite candidate experience. As one of the primary points of contact for candidates visiting our offices, you'll partner with Recruiters, Sourcers, and hiring teams to deliver an exceptional, high-touch interviewing experience. The impact you will have: In person in Seattle/Bellevue offices, 5 days a week Serve as the primary onsite point of contact for candidates, managing timely, professional, and friendly communication (written and verbal) to ensure candidates feel supported throughout their journey Build relationships and trust with the broader Talent Acquisition team, cross-functional partners, and hiring stakeholders Manage physical logistics and in person candidate experience, maintaining an active day-of presence to oversee candidate greetings, manage room changes, and perform live troubleshooting Coordinate interviews, prioritizing high-touch, time-sensitive scheduling needs, and hiring experience Contribute to and identify data-driven improvements and ad hoc projects that enhance our recruitment processes and candidate experience programs What we look for: Active hands-on logistics management and real-time troubleshooting capabilities Effective communication and prioritization skills The ability to thrive in a fast-paced environment with evolving in person and scheduling needs Collaborative mindset and openness to feedback Proactive approach to resolving ambiguous challenges and unexpected in person logistics on the fly A track record of high accuracy and attention to detail An interest in technology and artificial intelligence Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target ear
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