About the Team OpenAI didn’t begin as a traditional company. It began as an idea: that artificial intelligence could be developed in a way that benefits everyone. As a creative team, our role is to help make sure the work behind that idea is understood as it leaves the lab and meets the world. This company works at the frontier of intelligence. Like any frontier, it’s unfinished, constantly shifting, and still being explored. Our job is to stay close to that uncertainty and help shape how this story gets told in a way that feels grounded and human. We do this through campaigns, launches, films, brand systems, and work that doesn’t fit neatly into any of those categories yet. This team is for people who want to help shape something from the beginning. About the Role We’re looking for an experienced Creative Director, Copy to join our growing in-house creative team focused on OpenAI’s business audiences. In this role, you’ll help define how we communicate the value of OpenAI to organizations - from growing businesses and startups to global enterprises and developers building with our technology. You’ll concept and write across integrated campaigns, product launches, customer stories, events, and other brand moments. You’ll translate complex products, technical capabilities, and business outcomes into clear, compelling ideas that resonate with decision-makers, builders, and teams adopting AI. This is a deeply hands-on role for someone who is equally comfortable developing a big campaign platform, shaping a messaging framework, writing a film script, or refining a headline. You’ll work closely with design, production, product marketing, and communications from the earliest stages of an idea through execution. To us, creativity is a team sport. Ideas get better when you talk them through and build on each other’s thinking. We value curiosity over certainty, kindness over ego, and the ability to balance creative ambition with clarity and decisiveness. This role is based i
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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's Beneficial Deployments team accelerates the work of organizations doing some of the world's most important under-resourced work: nonprofits, education institutions, scientific researchers, and organizations advancing economic mobility. Research institutions sit at the center of that mission. They produce the science the rest of the world builds on, and they are structurally short on time, budget, and technical capacity to figure out new technology on their own. You will lead our targeted approach to research institutes and research intensive universities globally. Where our scaled motion reaches thousands of organizations one to many, this role is the opposite end of the same ecosystem: a deliberately short list of institutions where depth matters, where a lab, a department, or a whole campus adopting Claude changes what science gets done, and where the buying process runs through provosts, research offices, procurement, grant budgets, and security review. Reach comes first, and commercial results follow from it. That ordering is deliberate and it is shared across every leader on this team: a research institute that adopts Claude to move its science faster is a win on its own terms, and you will be measured on creating that value with the institutions that matter most, not only on pipeline. You are the single accountable owner for the research Enterprise book globally: its target list, its AEs, its numbers, and its field voice inside Anthropic. You are half seller, half domain translator. You will personally run the most complex institutional deals, and you will be credible in a room of scientists and resear
Position Summary The Automation Engineer is an intermediate role focused on deployment, optimization, and support of automated systems and software tools, including workcells, liquid handlers, and analytical instruments. This engineer has more independence than an Associate and is expected to have a solid foundation in sustaining engineering (troubleshooting and development). This individual should have a solid understanding of most complex automated liquid handling systems used in the lab, and can drive engineering projects of medium complexity independently and of high complexity with some guidance. They document work completely, follow SOPs, and contribute to Production Engineering documentation and team knowledge. Work is organized across Production Automation Engineering's project portfolio categories—Stabilize, Standardize, and Optimize—and commonly includes liquid-handler capacity expansion, platform upgrades, assay/workflow verification, instrument troubleshooting, and go-live support for production systems. Roles and Responsibilities Complexity & Problem Solving Operate as a semi-autonomous individual contributor within Production Engineering. Deploy liquid handling robotics for capacity expansion. Use SOPs or work instructions when available and assist with drafting documentation for new deployments. Perform defined continuous improvement projects; take ownership of assigned work and report to the project leader and/or manager. Contribute to Stabilize / Standardize / Optimize projects from intake through execution, including providing status updates and supporting schedule and % complete tracking. Handle complex troubleshooting, repairs, and maintenance. Provide 2nd-tier support to the Service Engineering team. Solve non-routine problems with some guidance. Perform assignments following SOPs. Support technical work independently on medium-complexity scope projects and with guidance on high-complexity scope. Assist with performance qualification
On-site | Vancouver Office – 564 Beatty St About the Role EviSmart helps dental labs run their case workflow through three modules — Downloader, QC, and Case Entry . More and more customers are signing up for multiple modules at once, which makes onboarding more complex: each lab runs its own Lab Management System (LMS) and workflow, and our product needs to be mapped correctly to how they actually work. We're hiring a Senior Solutions Engineer to own onboarding for these complex, multi-module accounts. This person ensures that EviSmart is scoped and configured correctly against each customer's LMS and workflow from the very first sales conversation through go-live — so onboarding is smooth, on time, and no signed customer is lost along the way. Key Responsibilities Map our product to the customer's LMS and workflow during the sales process, so what gets sold matches what can actually be delivered. Assist Sales with scoping complex, multi-module deals — identifying LMS setup, workflow steps, and requirements that will affect onboarding before the contract is signed. Support demos for complex accounts, tailoring them to how the customer's LMS and lab actually operate. Be the liaison between Sales and Product — when a customer's LMS or workflow doesn't fit how EviSmart works today, own that conversation and drive it to a resolution. Work with Customer Success to improve the onboarding process and keep customers satisfied throughout. Own and lead onboarding calls for complex, multi-module accounts, ending each call with a clear next step. Ensure every onboarding is completed within the timeline promised to the customer. Track onboarding status accurately in HubSpot so leadership always knows where each account stands. Requirements Must-Have 5+ years in a Solutions Engineer, Implementation, or Technical Onboarding role at a B2B SaaS company. Experience mapping a product to a customer's exist
Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. Responsibilities: SUPPORT CUSTOMERS AND DEBUG FIRMWARE Customer engineering support: Act as the primary technical escalation point for Security Firmware on SSD products — triage, prioritize, and drive customer reported security issues to closure within committed response times Security feature enablement: Guide customers through the configuration, integration, and validation of SSD security features; including, but not limited to: TCG Opal/Pyrite/Ruby and Enterprise SSC, ATA and NVMe security commands, self-encrypting drive operation, secure boot and signed firmware update, sanitize and cryptographic erase, key management, and device attestation Debug and root cause analysis: Reproduce customer, qualification, and field failures in the lab; analyze firmware logs, traces, and bus captures; debug Security Firmware source; and deliver documented root cause and corrective action Firmware fixes and validation: Develop, unit test, and functionally validate targeted Security Firmware changes and customer specific configurations and builds, ensuring each change meets the security, functional, performance, and quality/reliability requirements of the technical spec matrix before release Vulnerability and incident response: Assess the impact of reported vuln
This is an exciting opportunity to lead a Data Engineering & Delivery (DED) team at Natera, a global leader in precision medicine and genomics testing. As a Manager of the DED team inside our Data Science Production Engineering (DSPE) department, you will have the opportunity to work with Natera's diverse and ultra-large data sets (up to PB size), develop innovative solutions with the latest information and cloud technologies, and make real impact by providing timely, accurate, and robust data products and data delivery/automation systems to support Natera's Lab Operations and Genetic Counselor/Lab Director teams, and ultimately impact patients' medical outcomes. PRIMARY RESPONSIBILITIES: Leadership Lead a Data Engineering & Delivery (DED) team, collectively develop and maintain the data infrastructure, data ingestion solutions, ETL pipelines, robust data products, and data delivery solutions, for both production support and DSPE internal applications. Manage the Data Engineering & Delivery (DED) team, to achieve the timely and efficient delivery of robust data products and systems that can meet DSPE business needs and project requirements. Measure, report, and maintain/improve operational effectiveness. Train and coach team members on new technologies, procedures, and guidelines/best practices. Technical Lead the Data Engineering & Delivery (DED) team, collectively develop and maintain the data infrastructure, data ingestion solutions, ETL pipelines, robust data products, and data delivery solutions, for both production support and DSPE internal applications Translate DSPE's business needs and project requirements into technical specifications and implementation plans. Working with DSPE leadership teams, create design documents that can be efficiently implemented and maintained, for data system architecture, data ETL pipeline, data delivery solution, and other data systems/tools/components. Contribute to key development, testing, deploym
This is an exciting opportunity to lead a Data Engineering & Delivery (DED) team at Natera, a global leader in precision medicine and genomics testing. As a Manager of the DED team inside our Data Science Production Engineering (DSPE) department, you will have the opportunity to work with Natera's diverse and ultra-large data sets (up to PB size), develop innovative solutions with the latest information and cloud technologies, and make real impact by providing timely, accurate, and robust data products and data delivery/automation systems to support Natera's Lab Operations and Genetic Counselor/Lab Director teams, and ultimately impact patients' medical outcomes. PRIMARY RESPONSIBILITIES: Leadership Lead a Data Engineering & Delivery (DED) team, collectively develop and maintain the data infrastructure, data ingestion solutions, ETL pipelines, robust data products, and data delivery solutions, for both production support and DSPE internal applications. Manage the Data Engineering & Delivery (DED) team, to achieve the timely and efficient delivery of robust data products and systems that can meet DSPE business needs and project requirements. Measure, report, and maintain/improve operational effectiveness. Train and coach team members on new technologies, procedures, and guidelines/best practices. Technical Lead the Data Engineering & Delivery (DED) team, collectively develop and maintain the data infrastructure, data ingestion solutions, ETL pipelines, robust data products, and data delivery solutions, for both production support and DSPE internal applications Translate DSPE's business needs and project requirements into technical specifications and implementation plans. Working with DSPE leadership teams, create design documents that can be efficiently implemented and maintained, for data system architecture, data ETL pipeline, data delivery solution, and other data systems/tools/components. Contribute to key development, testing, deploym
This is an exciting opportunity to lead a Software Engineering & DevOps team at Natera, a global leader in precision medicine and genomics testing. As a Senior Manager of the Software Engineering & DevOps team inside our Data Science Production Engineering (DSPE) department, you will have the opportunity to build with Natera's diverse and ultra-large data sets (up to PB size), create software and automation solutions for the most cutting-edge medical diagnostics and genomics applications, and make real impact by delivering reliable, efficient, high performance software products and data/cloud/automation systems to support Natera's Lab Operations and Genetic Counselor/Lab Director teams, and ultimately impact patients' medical outcomes. PRIMARY RESPONSIBILITIES: Leadership Lead a DevOps team, working closely with other DSPE teams, to develop, test, deploy, maintain, and update DSPE's data platforms, cloud platforms, automation systems, and analytics systems Manage the DevOps team, to achieve the timely and efficient delivery of software products and systems with correct and robust functionality. Train and coach team members on new technologies, procedures, and guidelines/best practices. Create and maintain operational visibility (e.g., workload, productivity, etc.) of the DSPE DevOps team. Technical Translate DSPE's business needs and project requirements into technical specifications and implementation plans. Working with DSPE leadership teams, create suitable system architecture and infrastructure design documents that can be efficiently implemented and maintained. Maintain and optimize infrastructure performance, monitoring key system metrics including network I/O, disk I/O, memory allocation, and compute resource utilization. Contribute to key development, testing, deployment, validation, maintenance, and update activities. Quality, Compliance, and Documentation Improve and enforce procedures for work efficiency, quality, and compliance. Lead
This is an exciting opportunity to lead a Software Engineering & DevOps team at Natera, a global leader in precision medicine and genomics testing. As a Senior Manager of the Software Engineering & DevOps team inside our Data Science Production Engineering (DSPE) department, you will have the opportunity to build with Natera's diverse and ultra-large data sets (up to PB size), create software and automation solutions for the most cutting-edge medical diagnostics and genomics applications, and make real impact by delivering reliable, efficient, high performance software products and data/cloud/automation systems to support Natera's Lab Operations and Genetic Counselor/Lab Director teams, and ultimately impact patients' medical outcomes. PRIMARY RESPONSIBILITIES: Leadership Lead a DevOps team, working closely with other DSPE teams, to develop, test, deploy, maintain, and update DSPE's data platforms, cloud platforms, automation systems, and analytics systems Manage the DevOps team, to achieve the timely and efficient delivery of software products and systems with correct and robust functionality. Train and coach team members on new technologies, procedures, and guidelines/best practices. Create and maintain operational visibility (e.g., workload, productivity, etc.) of the DSPE DevOps team. Technical Translate DSPE's business needs and project requirements into technical specifications and implementation plans. Working with DSPE leadership teams, create suitable system architecture and infrastructure design documents that can be efficiently implemented and maintained. Maintain and optimize infrastructure performance, monitoring key system metrics including network I/O, disk I/O, memory allocation, and compute resource utilization. Contribute to key development, testing, deployment, validation, maintenance, and update activities. Quality, Compliance, and Documentation Improve and enforce procedures for work efficiency, quality, and compliance. Lead
The Role We are looking for a Senior Partner Deployed Engineer to join the Customer Solutions team, focused on building Coder’s partner ecosystem across EMEA. This is a new function at Coder, modeled on the Forward Deployed Engineer role pioneered by companies like Palantir and now the fastest-growing technical role at frontier AI companies. The difference: instead of embedding with a single customer to deploy a platform, you embed with strategic partners to help them understand, position, and deliver Coder’s platform across their entire customer base. You are part Field CTO, part Industry Strategist, part Technical Specialist, and part Partner Relations Lead. You will be the technical authority within our EMEA partner ecosystem: setting the vision for how Coder fits into each partner’s AI, cloud, and modernization offerings, co-creating the GTM sales plays that partner sellers take to market, building the demonstrations and workshops that generate pipeline, and producing the Partner Relations content that establishes Coder’s technical brand in the ecosystem. This is not a support role. You are equally comfortable holding a strategic roadmap conversation with a partner CTO and debugging a Kubernetes deployment in a partner’s lab in the same afternoon. You are energized by the challenge of building a new category through partnerships, motivated by the multiplied impact of enabling an entire ecosystem rather than a single customer, and capable of operating with full autonomy in a fast-moving startup environment. What You’ll Do Serve as the strategic technical thought partner to EMEA partner leadership, including practice leads, CTOs, and solutions architects at global systems integrators, regional cloud consultancies, and hyperscaler field teams. Own the technical relationship and set the vision for how Coder fits into each partner’s AI and modernization portfolio. Co-create sales plays tailored to each partner’s customer base, vertical focus, and services capabilitie
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. Join Tenstorrent as a Staff Reliability Engineer and help define the reliability strategy behind the next generation of AI computing systems. In this highly visible technical leadership role, you'll drive reliability from architecture through production, partnering across hardware, software, and manufacturing teams to build high-performance AI platforms that set the standard for uptime, durability, and quality. If you're passionate about solving complex engineering challenges and influencing products at scale, you'll have the opportunity to shape technology powering the future of AI. 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 You've spent 8+ years in reliability engineering, ideally in high-performance computing, AI hardware, or data center systems. You're comfortable with the statistical side of the job, HALT, HASS, ALT, MTBF, Weibull analysis, and FMEA are all familiar territory. You can work through a technical problem in a thermal lab and then explain the risks and trade-offs clearly to leadership. You're good at bringing people together, mechanical, electrical, thermal, softw
As the Associate/Laboratory Director, you have clinical oversight of Natera’s laboratory testing. You ensure that testing is properly performed, and applicable regulatory standards are met. You are responsible for ensuring that the laboratory implements testing while consistently providing accurate and reliable patient test results. PRIMARY RESPONSIBILITIES: Review, approve, and sign-out reports for a variety of clinical molecular/cytogenetic and/or oncologic results, including NIPT, carrier screening, PGD/PGS, products of conception and rare disease testing on platforms including SNP array analysis, NGS, and other methodologies. Oversee the review of genetic and CNV variant data: interpret NGS and microarray results in the context of medical literature, online variant databases and other references along with relevant patient demographic data. Provide clinical and technical support for genetic counselors and other laboratory personnel. Set standards for laboratory testing and acceptable levels of analytic performance and ensure these are maintained. Analyze lab data, contribute to or write publications for high-quality scientific journals. May serve as Technical Supervisor. The Technical Supervisor is responsible for ensuring: appropriate test method selection; adequate method verification to determine the accuracy and precision of the test; enrollment of the laboratory in a CMS-approved proficiency testing (PT) program for the test performed; PT samples are tested in accordance with the CLIA requirements; PT results are returned within the time frames established by the PT program; PT reports are reviewed by the appropriate staff; corrective action plans are followed when PT results are found to be unacceptable or unsatisfactory; quality assessment and quality control programs are established and maintained; acceptable analytical test performance is established and maintained for each test system; remedial actions are taken and documented when signific
About Snorkel At Snorkel, we believe meaningful AI doesn’t start with the model, it starts with the data. We’re on a mission to help enterprises transform expert knowledge into specialized AI at scale. The AI landscape has gone through incredible changes since 2015, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems. We work with some of the world’s largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler! About the Role Snorkel AI is looking for a Head of Talent Acquisition Operations & Insights to build and lead the systems, processes, tools, metrics, and operational infrastructure that power our recruiting organization. This leader will own the design and execution of a modern TA operations function that enables Snorkel AI to scale hiring with speed, quality, consistency, and data-driven decision-making. This is a builder role for someone who has stood up TA operations in a hyper-growth technical startup environment. You should be equally comfortable designing the strategy, implementing the systems, improving process, building reporting, leading recruiting coordination, and partnering with recruiting and business leaders to improve how hiring gets done. We are looking for someone who brings strong operational discipline, deep knowledge of recruiting systems and workflows, and a forward-looking perspective on how AI can modernize talent acquisition. What You’ll Do Build and lead the TA operations function for Snorkel AI, including recruiting systems, tools, workflows, reporting, process, and coordination. Own the recruiting tech stack, including ATS configu
About the Team The IT organization is a cohesive team that improves security, productivity, and user experience for everyone at OpenAI. We build and operate the technology foundation that enables every employee to work securely, efficiently, and with high velocity from day one, helping OpenAI remain the most secure and productive AI lab in the world. Our work spans building and maintaining reliable networks, identity and access systems, secure client platforms, and intuitive automation and self-service tools. We also support the full employee journey through smooth onboarding, well-managed hardware and logistics, and responsive global support. As OpenAI grows, we design the technology that powers our offices and keeps collaboration seamless across locations. Through strong security, scale, and simplicity, we enable teams to do their best work. About the Role As a Product Manager, you will lead vision, strategy, and execution for internal systems and platforms that enable secure, reliable, and efficient operations. You will translate technical and operational needs into clear product roadmaps, working closely with IT, engineering, security, and compliance to build scalable, intuitive, and resilient products that remove friction and improve productivity across the company. You are systems-minded, pragmatic and iterative. You thrive in ambiguity, move quickly with good judgment, and learn through iteration and usage data. You understand how internal systems fit together end-to-end and design solutions that balance usability, scale, and security. This role is based in our San Francisco HQ and requires in-office presence. We utilize a hybrid work model with 3 days in the office per week In this role, you will: Set direction and drive alignment Define and evolve product vision and roadmaps for core internal systems and platforms Ensure tools enable productivity, scale securely, and deliver a seamless employee experience Align priorities across IT, engineering, security, w
About the job Build the hardware that turns new AI processors into working systems. As a Hardware Development Engineer, you will design circuit solutions for Graphcore processor systems and validation platforms. You will turn system requirements into schematics, layout constraints, and testable hardware. Your work will shape production systems and test boards used across development, validation, and customer enablement. You will help prove performance, margin, and reliability before designs move into volume production. Alongside silicon, architecture, software and PCB CAD specialists, you will make design decisions grounded in evidence. You will define validation plans, run lab campaigns, debug prototypes, and interpret results with firmware and architecture teams. This role suits someone who likes owning problems from first schematic to mass production readiness. Few roles connect board design, bring-up, validation, and production so directly. The team and culture Hardware Engineering builds production systems and test hardware around Graphcore processors. The team works close to silicon, architecture, firmware, software, and PCB CAD from the first requirement onwards. Engineers own designs through definition, schematic capture, layout support, bring-up, validation, and production transfer. Work moves quickly because problems are handled close to the lab, not passed between silos. The team makes decisions through evidence: measurements, design reviews, margin data, and open technical challenge. You will speak up, take responsibility, and help the team move with confidence. What we're looking for · Strong digital circuit design and validation skills, including DCDC regulators, power delivery, resets, clocks, and control interfaces. · Experience developing processor-based systems and working with interfaces such as Ethernet, PCIe, DDR, USB, QSPI and JTAG. · Practical lab depth in bring-up, debug, margin testing, and validation using oscilloscopes, logic analysers and
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