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Location: San Francisco, CA • New York, NY • United States 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! Figma’s AI Insights team, within Research, is hiring a builder with exceptional design craft and deep AI fluency. You will report to Noam Segal, Director of AI Insights. You will build internal AI products that help Figmates understand our customers and their needs. These products will scale customer intimacy across Figma and inform product and business decisions. You enjoy figuring things out by making them. You own products from the first idea through design, building, evaluation, and adoption. You build primarily with AI tools and apply strong design and product judgment throughout. You ship early, improve rapidly, and hold internal experiences to the care expected of customer-facing Figma products. This is a full-time role that can be held from our New York City or San Francisco hub - or remotely in the United States. What you’ll do at Figma: Identify where Figmates need better customer understanding. Choose opportunities where an internal product can make a meaningful difference Design clear, compelling experiences that help employees find customer evidence, understand needs, and make informed decisions Use AI tools to build and ship internal products. Own the work from initial concept through launch and continued use Ship focused versions early. Improve them rapidly through feedback, actual use, and careful attention to interaction and visual details Define a high quality bar for AI behavior, evidence quality, and usability. Build evaluations that expose failures and verify improvements Partner with Research, Design, Product, Engineering, and internal users to launch products and support adoption Demonstrate what you build, explain your decisions, and share reusable tools and practices. Measure whether the products improve customer understanding We’d love to hear from you if you have: Demonstrated exceptional design craft through a background in UX or product design, with strong interaction design, visual judgment, and the ability to simplify complex workflows without sacrificing important details Build and shipped impactful products by turning ambitious ideas into working solutions using AI tools, demonstrating significant hands-on contributions, strong execution, and sustained value beyond initial prototypes Applied deep AI fluency to build sophisticated workflows that connect models, data, and tools, troubleshoot failures across prompts and integrations, and translate emerging capabilities into effective products Exercised strong product judgment by identifying unmet user needs, translating complex customer information into intuitive experiences, and making thoughtful tradeoffs across scope, quality, and speed While it’s not required, it’s an added plus if you also have: Hold an academic background in design, interaction design, or human-computer interaction Bring a track record in customer research or in building research platforms and tools that help employees explore customer evidence Align teams around product priorities, communicate a clear point of view, and drive adoption by resolving competing needs with clear tradeoffs Build evaluations based on realistic tasks to verify the accuracy, evidence quality, and usability of AI-powered products Demonstrate familiarity with Figma’s products At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Pay Transparency Disclosure Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. Figma offers equity to employees, as well as a competitive package of additional benefits, including health, dental, and vision coverage; retirement benefits with company contributions; parental leave and reproductive or family planning support; mental health and wellness benefits; and paid time off. Figma provides paid sick leave, holidays, and other leave benefits in compliance with applicable federal, state, and local laws, including the requirements of the Washington Minimum Wage Act and related regulations. Exempt employees are eligible for employer‑provided paid flexible PTO in addition to flexible paid sick leave. PTO is subject to manager approval. Additional benefits may include company recharge days, cell phone and home internet reimbursements, and a number of lifestyle spending accounts. Figma also offers sales incentive compensation for most sales roles and an annual bonus plan for eligible non-sales roles. All compensation and benefits are subject to applicable plan terms and may be modified by Figma at any time, consistent with applicable law. Annual Base Salary Range: $169,000 — $250,000 USD At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status , or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to accommodations-ext@figma.com . These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. Examples of accommodations include but are not limited to: Holding interviews in an accessible location Enabling closed captioning on video conferencing Ensuring all written communication be compatible with screen readers Changing the mode or format of interviews To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Figma's Candidate Privacy Notice . Application limits: To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles: Candidates may submit up to 5 applications during any rolling 30-day period. Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection. Once the applicable days has passed, candidates are welcome to apply again.

Location: San Francisco, CA | New York City, NY 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 As a Product Manager, Technical, you will own and be responsible for building a world class support experience for Anthropic's customers and the Product Support team. You will partner with Product Support Operations, AI Support, Billing, Fraud, and Product Engineering teams to build the systems that decide how Anthropic's users get unblocked when something goes wrong, and how what they report turns into product fixes, in partnership with the product teams that own the experience. Claude will be the primary operator of that support experience. Partner with Product Support Operations, AI Support, and product engineering teams to own the systems behind the support experience end to end: the path from a recurring support driver to a shipped product fix, the Claude-based AI support layer that handles most inbound volume, and the tooling that helps human agents resolve what’s left quickly and accurately. . Your north star is fewer support cases per user, and whole categories of cases eliminated, even as the product grows. The best outcome is a case that never gets opened because the product problem behind it was found and fixed. Everything in the support experience is in scope. You decide where to start. You'll define the end-to-end experience Claude delivers: diagnosing a billing failure, resolving it or escalating it, recognizing when the same failure is showing up across many customers, filing the bug with repro steps and a proposed fix, getting that to the engineering team that owns the driver, following up with the customer to confirm the issue was actually resolved, and confirming the category actually goes away once the fix ships. You will define and own the strategy and roadmap for the support-to-product feedback loop, including the escalation paths for billing, fraud, and high-visibility cases, and the metrics that show whether contact rate is falling. Responsibilities Deeply understand the needs of Product Support Operations, AI Support, Billing, Fraud, and the product engineering teams that own support drivers, from specialists handling enterprise escalations to engineers who need a support case turned into a reproducible bug they can fix. Define and iterate on the support-to-product loop: how a case is classified, how recurring drivers are surfaced in near real time with case examples and recommended fixes, how each driver gets a named owner, and how we confirm the fix decreased case volume. Own the metrics behind it:  inbound case volume by driver, drivers fixed at the root, and time from first case to shipped fix, alongside the response-time and CSAT targets Product Support Operations already runs on. Own the customer's experience of getting unblocked: how quickly a user reaches a resolution and how little friction they hit on the way, whether Claude resolves the case or hands it to a specialist. Minimize the blast radius of novel issues. New models and product changes will keep creating new drivers no one can predict; catch each one at its first reports, assess impact, and get the fix prioritized while the affected group is still small. Partner with engineering and data science to build the systems that scale with Anthropic’s growth: Claude as the first responder, the data pipeline behind driver detection, and the tooling that lets Claude hand a diagnosed case to the right team. Drive product strategy and roadmap for the in-house Claude support layer, including what Claude resolves on its own, what it escalates and to whom, and how far it goes toward filing and fixing the underlying product issue itself. Own the trade-off framework between intake reduction, response time, cost, and quality, making transparent prioritization decisions about which drivers get fixed first and communicating them clearly to Product Support and senior leadership. Build conviction about what support looks like when Claude is the primary operator, and translate that into a roadmap that gets Anthropic there ahead of the volume curve. You may be a good fit if you have 7+ years of product management experience, with deep exposure to support systems, customer operations tooling, billing or payments, or internal platforms that serve operations teams Experience taking technical platform products from infancy to scale: you've built something from the ground up and grown it to serve demanding internal or external engineering customers Track record of building products that balance the needs of multiple personas, and of making prioritization trade-offs between them and communicating them clearly Ability to internalize complex technical systems (case routing, billing and payments flows, LLM-based agents, data pipelines) and translate that understanding into a comprehensive product vision Fluent across functions: you're equally credible reading a failed-payment trace with engineers, walking a specialist through why a driver got deprioritized, and explaining intake trends to leadership A strong thesis on how AI changes support: you've thought deeply about what happens when the agent that answers the case can also diagnose, file, and fix what caused it, and you want to build that Experience scaling an LLM-based product or experience from prototype to real volume, and a clear view of what breaks on the way: quality drift, cost, latency, and user trust Scrappy and resourceful: you do what it takes to get things done in a fast-moving environment Strong candidates may have: Built or scaled the systems behind a high-volume support operation for consumer or developer products: case data pipelines, driver analytics, or LLM-based support agents. Shipped an LLM-based support or operations agent in production and understand the trust, escalation, and quality-measurement problems that come with it. Defined and operationalized contact-rate or case-deflection metrics, and a point of view on how those metrics change when the fix ships in the product instead of the help center. Scaled through hypergrowth in support-heavy environments (consumer subscriptions, developer platforms, or fintech). Experience getting product and engineering teams to own support drivers, with proven evidence of driving ownership through clear evidence and product quality. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $385,000 — $460,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Borlänge, Dalarna Workplace: OnSite ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. THE MISSION You will work every day on the racks that power one of Sweden's largest AI clusters. Mistral's compute footprint is our single largest investment and the foundation of our AI research and engineering. We're hiring Data Center Hardware Engineers to keep our clusters healthy, safe and growing — hands-on, in the data center at the intersection of high-performance computing and physical infrastructure. You'll join a small, senior team working at a scale few engineers get to experience: GPU-dense racks (next-generation platforms), high-speed interconnects, liquid-cooled systems — with new sites under development in France and beyond. Hardware here is not someone else's problem. As part of a small on-site team, you carry responsibility for it end to end. Location: On-site at our data center in Dalarna region. WHAT YOU'LL DO - Diagnose & repair server and cluster hardware: CPUs, memory, drives, NICs, GPUs, PSUs and interconnect problems (switches, cables, transceivers; Ethernet/InfiniBand). - Intervene safely — power-off/lockout, ESD discipline, pre/post-work checklists, tidy and safe work areas. - Capture everything — photos, serials, test results; open, update and close tickets with notes the next engineer can act on. - Manage parts — receive, label and track inventory; run RMAs and coordinate with vendors. - Help us get better — feed recurring anomalies into monitoring, alerts and SOPs; contribute small scripts (Python/Bash) if you have those skills. - Be a good teammate — clear status updates, honest handovers and respect for the people around you. ABOUT YOU - Hands-on comfort in data centers or server hardware — you can (or will quickly learn to) work cleanly in racks: rails, cabling, labeling, mounting. - Disciplined and meticulous: checklists aren't bureaucracy to you, they're craftsmanship. - Practical electrical basics: power-off procedures, PPE, short-circuit risk awareness. - Basic Linux (boot checks, logs) — scripting is a plus, not a requirement. - Physically able to work in racks (lift, mount, maneuver) in a data center environment. - Comfortable in a 24/7 operation, including a rotating on-call with emergency response expectations. - Driver's licence (B) for travel between our sites. Even if you don't match every criterion Many of our best hardware engineers came from research labs, telecoms, IT services or the military. If you are rigorous, curious and genuinely motivated by hardware at scale, we would be glad to hear from you — we assess demonstrated scope rather than keyword matching. NICE TO HAVE - HPC/AI/cloud production experience at scale; large-fleet server install and maintenance. - Networking fundamentals (Ethernet/InfiniBand) beyond basics. - Vendor/RMA tooling, ticketing (Jira/ServiceNow), inventory systems. - Python/Bash automation for checks, capture, inventory or reporting.   WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: Remote Workplace: Remote We are building AI to simulate the world through merging art and science. We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world. World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached. Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you. *Titles posted to our careers page are updated regularly to best advertise the role and expected seniority, but internally we have a flat titling system with two types of titles: one for individual contributors and one for people managers. *Open to hiring remote across the US — we also have offices in NYC, San Francisco, and Seattle This is a rare PM role with true vertical ownership across the full product lifecycle, from early-stage research and pre-training through post-training, UX buildout, GTM strategy, and pricing. It gives the right person a GM-like mandate to drive product decisions end-to-end, in a way that’s unique for a company of our scale. We’re looking for a Product Manager to build the AI tools our customers will rely on. You have a real engineering or quantitative foundation and a track record of shipping products. You can take the state-of-the-art systems our research team builds and turn them into products that creators love. You’ll deeply understand what users want, what’s technically possible, and what’s strategic for our business. You’ll be the bridge between our users and our internal teams, so we ship our models and products with the most value for Runway’s creators. This role is a fundamental and critical part of the team at a market-defining company in its early stages. What you’ll do - Own the product strategy and roadmap for your area, from early model development through launch, pricing, and go-to-market - Partner with research to shape what gets built, translating customer needs and model capabilities into clear product requirements and priorities - Work closely with engineering and design to ship new products and continuously improve existing ones, making sound technical tradeoffs along the way - Define and analyze product metrics, run A/B tests, and use data (including your own SQL and Python analysis) to validate pain points and prioritize features - Talk with users weekly to uncover use cases and turn feedback into product decisions - Drive pricing and GTM strategy in partnership with business teams What you’ll need - 4+ years of product management experience, including taking products from zero to one - A strong technical foundation, typically demonstrated by things like the following: - A degree in a technical or quantitative field such as computer science, HCI, math, statistics, or physics - Professional experience writing code before the LLM codegen era (e.g., as a software engineer, data scientist, data analyst, or technical founder who built and bootstrapped a product) - Hands-on fluency with SQL, Python, AI code generation tools, and version control best practices - Working knowledge of current ML capabilities and products, and the ability to discuss tradeoffs with researchers and engineers - Experience in fast-moving teams, with comfort operating amid ambiguity - Excellent written and verbal communication skills Nice to have - Experience with generative AI, creative tools, or media products - Experience owning pricing or GTM for a product Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide. There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range. Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates. WORKING AT RUNWAY Great things come from great teams. https://www.youtube.com/watch?v=kwmj4ato2kw&ab_channel=Runway We’d love to hear from you. We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply. More about Runway - Universal World Simulator https://runwayml.com/world-simulator.html - GWM-1 https://runwayml.com/research/introducing-runway-gwm-1 - Gen-4.5 https://runwayml.com/research/introducing-runway-gen-4.5 - General World Models https://runwayml.com/research/introducing-general-world-models - Robotics SDK https://runwayml.com/research/introducing-runway-gwm-1#robotics-section - Conversational Real-time Agents https://runwayml.com/research/introducing-runway-gwm-1#avatars-section - Runway Studios https://runwayml.com/studios We're excited to be recognized as a best place to work: Crain's https://www.crainsnewyork.com/awards/best-places-work-2023 | InHerSight https://www.inhersight.com/companies/best/city/new-york-city-ny | BuiltIn NYC https://builtin.com/awards/new-york-city/2024/best-places-to-work | INC https://www.inc.com/best-workplaces/2024

Location: Mississauga/Toronto/Kitchener/Waterloo/Cambridge Workplace: hybrid At PointClickCare our mission is simple: to help providers deliver exceptional care. And that starts with our people. As a leading health tech company that’s founder-led and privately held, we empower our employees to push boundaries, innovate, and shape the future of healthcare.   With the largest long-term and post-acute care dataset and a Marketplace of 400+ integrated partners, our platform serves over 30,000 provider organizations, making a real difference in millions of lives. We also reinvest a significant percentage of our revenue back into research and development, ensuring our employees have the resources to innovate and make a lasting impact. Recognized by Forbes as a top private cloud company and honored as one of Canada’s Most Admired Corporate Cultures, we offer flexibility, growth opportunities, and meaningful work.    At PointClickCare, we empower our people to be the architects of a smarter healthcare future; one that is human-first and accelerated by AI to create meaningful and lasting change. Employees harness AI as a catalyst for creativity, productivity, and thoughtful decision-making. By integrating AI tools into our daily workflows, collaboration is enhanced, outcomes are improved, and every team member has the proficiency to maximize their impact. It all starts with our hiring practices where we uncover AI expertise that complements our mission, and we continue to invest in training and development to nurture innovation throughout the employee journey.   Join us in redefining healthcare — so it doesn’t just survive, it thrives. To learn more about PointClickCare, check out Life at PointClickCare and connect with us on Glassdoor and LinkedIn.     **Travel to Office expectations** For Remote Roles: If this role is remote, there will be in-office events that will require travel to and from the Mississauga and/or Salt Lake City office. These will include, but not limited to, onboarding, team events, semi-annual and annual team meetings.   For Hybrid Roles: If this role is Hybrid, there will be an expectation to reside within commutable distance to the office/location specified in the job listing. This will include, but not limited to, weekly/bi-weekly/monthly events in the office with your specific team. This is a requirement for this role. Job title: Intermediate Software Engineer   What your day-to-day will look like: ·       Identify, prioritize and execute tasks in the software development life cycle ·       Work with business to iterate over software requirements ·       Develop tools and applications by producing clean, efficient code ·       Automate tasks through appropriate tools and scripting ·       Analyze and debug systems ·       Perform validation and verification testing in a test-driven manner ·       Review the work of others, and invite others to review your work ·       Collaborate with internal teams and vendors to fix and improve products ·       Ensure software is up-to-date with latest technologies   What qualifications we’re looking for: ·       Experience writing clean code that performs well at scale using Java ·       Experience with Spring Boot ·       In-depth knowledge of relational databases (e.g. Microsoft SQL Server, MySQL) ·       Solid experience writing RESTful API endpoints ·       Absolutely love TDD and have working knowledge of it ·       Proficient in GIT ·       Experience using system and performance monitoring tools (e.g. New Relic, DataDog) ·       Experience with automated testing frameworks (e.g. Selenium, Cypress, RestAssured) ·       Excellent organization, critical-thinking and personal leadership skills ·       Self-starter with the ability to deliver with minimal supervision ·       Being okay with the uncomfortable feeling that comes from learning new things ·       Team player ·       Analytical mind with problem-solving aptitude ·       Proven experience as a great Engineer ·       BSc/BA in Computer Science or a related degree   Generative AI Code Assistants - Use of Generative AI Code Assistants (e.g. Github Copilot) and knowledge of latest Generative AI Model capabilities would be an asset   Bonus points for: ·       Experience with UI development and frameworks (e.g. React, Angular) ·       Nice to have React, Selenium automation and cloud experience ·       Experience with Docker, Kubernetes and Istio ·       Experience with Ansible ·       Experience with Jenkins CI/CD pipeline ·       Linux and IP networking knowledge ·       Experience with AWS/Azure cloud services or equivalent ·       Experience with SAML, OAuth and OpenID Connect ·       Experience working on a SaaS product ·       Experience with Service Oriented Architecture  ·       Knowledge of scripting languages such as Python, Bash or Groovy ·       On-call experience with production grade systems ·       Has mentored others in a professional setting   #LI-DNI #LI-Hybrid PointClickCare Benefits & Perks:   Benefits starting from Day 1! Retirement Plan Matching Flexible Paid Time Off Wellness Support Programs and Resources Parental & Caregiver Leaves Fertility & Adoption Support Continuous Development Support Program Employee Assistance Program Allyship and Inclusion Communities Employee Recognition … and more!   It is the policy of PointClickCare to ensure equal employment opportunity without discrimination or harassment on the basis of race, religion, national origin, status, age, sex, sexual orientation, gender identity or expression, marital or domestic/civil partnership status, disability, veteran status, genetic information, or any other basis protected by law. PointClickCare welcomes and encourages applications from people with disabilities. Accommodations are available upon request for candidates taking part in all aspects of the selection process. Please contact recruitment@pointclickcare.com should you require any accommodations. As part of our commitment to a streamlined and equitable hiring experience, PointClickCare uses AI tools to assist with candidate screening and assessment.   When you apply for a position, your information is processed and stored with Lever, in accordance with Lever’s Privacy Policy. We use this information to evaluate your candidacy for the posted position. We also store this information, and may use it in relation to future positions to which you apply, or which we believe may be relevant to you given your background. When we have no ongoing legitimate business need to process your information, we will either delete or anonymize it.  If you have any questions about how PointClickCare uses or processes your information, or if you would like to ask to access, correct, or delete your information, please contact PointClickCare’s human resources team: recruitment@pointclickcare.com    PointClickCare is committed to Information Security. By applying to this position, if hired, you commit to following our information security policies and procedures and making every effort to secure confidential and/or sensitive information. At PointClickCare, base salary is one of the many components that make up our total rewards package. The CAD base salary range for this position is $112000- $125000 (not overtime eligible) + bonus + benefits. Compensation is assessed individually and aligned to experience, skills, and market context. The posted range reflects typical expectations for this role.

Location: San Francisco, CA | New York City, NY 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 hiring a Technical Program Manager to lead high priority safety and security programs which advance defense in depth for agents, which we have written about publicly . You will be the lead TPM coordinating work across teams to strengthen how we develop and deploy agents safely and securely, and to bring what we build internally to customers and partners so everyone has the tools to safely and securely use Claude. You will be responsible for leading meetings with executives and technical leads, maintaining complex project plans, identifying and addressing risks, developing metrics, and communicating to the company and our customers about this work. Responsibilities: Maintain the roadmap - Maintain and extend the existing roadmap for all work contributing to this effort across the company and implement approaches to ensure accuracy and relevance amidst a fast operational tempo. Turn program goals into measurable exit criteria at each phase of the work - To do this well you’ll need to be responsive to new developments in capabilities and the threat landscape, both of which are evolving fast. Maintain key metrics and dashboards. Run the operating rhythm - Chair the leads meetings, working group meetings, design reviews, and executive check-ins. Record decisions and actions, disseminate sitreps quickly and regularly, and follow up until open issues close. Lead executive and contributor communication - Drive conversations, write regular reports, contribute to design documents, and produce decisional documents as needed. Say plainly what is on track, what is not, and where help is needed. Maintain the risk register - Track risks, exceptions, and risk acceptances in one place and bring hard calls to the right decision maker. Drive company-wide communications - Partner with internal communications on progress updates and on rollouts that change how employees work with Claude every day. Lead through other TPMs - Coordinate subject matter specific TPMs and engineering managers who do not report to you. Set shared standards, spot coverage gaps, and step in to augment capacity where needed. Take coordination load off technical leaders - Find owners for cross-team problems, frame tradeoffs across Security, Safeguards, Research, Privacy, Legal, and Product, manage staffing tasks, and organize exercises that test our controls. Maintain industry context - Track relevant incidents, capabilities shifts, and research across frontier labs, and understand the key risks they reveal. Bring those lessons into our threat model, roadmap, and risk register. You may be a good fit if you: Have led company-wide technical programs, especially a company-wide security program, with multiple workstreams, executive sponsors, and other program managers rolling up to you. Have a strong background in at least one of the program's domains: agent or infrastructure security, ML classifiers and monitoring, evaluations, inference infrastructure, protecting an organization’s most sensitive data, or shipping security controls to customers. You know the terminology and can ramp up on the rest quickly. Have worked closely with ML research teams and understand how models are trained and evaluated. Work independently. You set direction without waiting for instructions and know when to make decisions and when to escalate. Can command a room and hold senior engineers, researchers, and executives accountable without formal authority. Write clearly and fast for any audience, from a one-page executive brief to a company-wide announcement. Use AI tools like Claude to automate tracking, reporting, and follow-up. Care about AI safety and want to help keep powerful systems under human oversight. Have 10+ years of experience in one of the aforementioned areas. Deadline to apply: None, applications will be received on a rolling basis. Annual Salary: TBD with Recruiting. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $365,000 — $435,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Islamabad Capital Territory, Pakistan Data Analyst – Customer Support Automations · [Full-time] · In-Person (Islamabad, PK) · Hours 6pm - 2am PKT About Nysonian Nysonian builds the next generation of global lifestyle brands, shaping how people travel, move, and live. We go beyond creating great products to build experiences that elevate everyday life and empower people around the world. Our Fast-Growing Portfolio Includes: NOBL Travel — redefining modern travel with design, durability, and performance FLO Pilates — bringing Pilates into homes and wardrobes globally With $350M+ in revenue, 400+ teammates across 8 countries, and 1M+ customers worldwide, we are shaping the brands that will define the next decade. Core Values: Winners’ Mindset | Speed with Purpose | Thoughtful Innovation | Genuineness | No Ego, Full Ownership The Opportunity We are looking for a hands-on Data Analyst to support our Customer Support function through reliable reporting, dashboards, and actionable analysis. The successful candidate will work with large, complex datasets to answer business questions, monitor support performance, identify operational issues, and recommend improvements to customer experience and team efficiency. This role requires strong analytical judgment, attention to detail, and the ability to deliver accurate work in a fast-paced environment with changing priorities. What You'll Own Translate business questions from Customer Support stakeholders into clear analytical requirements, metric definitions, and reporting deliverables. Extract, combine, clean, and analyze large datasets from support systems, databases, spreadsheets, and other business sources. Build and maintain dashboards using at least one visualization tool, such as Power BI, Tableau, or Looker Studio. Monitor support metrics, including ticket volume, backlog, first response time, resolution time, SLA compliance, reopen rate, CSAT, and agent productivity. Analyze customer complaints, repeat contacts, returns, refunds, retention outcomes, and chargeback reasons to identify patterns and improvement opportunities. Assess human and AI support performance, considering case complexity, channel, and workload when comparing results. Investigate discrepancies between reports and source systems, document root causes, and coordinate corrections with relevant teams. Automate recurring reports and data preparation tasks to reduce manual effort and improve reporting consistency. Perform data quality checks for missing records, duplicates, inconsistent identifiers, date issues, and incorrect calculations. Present findings clearly to technical and non-technical stakeholders, with practical recommendations. Maintain documentation of reporting logic, business definitions, assumptions, and known limitations. Handle customer and business information responsibly and follow company data access policies. Skills & Qualifications Minimum 2 years of recent, relevant professional experience in data analytics, business intelligence, or operational reporting. Internships and academic projects should be listed separately. Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, Economics, Business Analytics or a related analytical discipline. Minimum CGPA of 3.2 out of 4.0, or an equivalent result, in the most recently completed degree. Strong practical SQL skills, including joins, aggregations, CTEs, window functions, and date-based analysis. Hands-on experience working with large datasets, including querying, cleaning, combining, and validating data efficiently. Practical proficiency in at least one visualization tool: Power BI, Tableau, Looker Studio, or an equivalent platform. Working proficiency in Python, particularly pandas, for data preparation, analysis, and reporting automation. Strong Excel or Google Sheets skills, including pivot tables, lookup formulas, data validation, and reconciliation. Ability to select appropriate analytical methods, calculate rates and averages correctly, and distinguish meaningful changes from misleading comparisons. Strong problem-solving skills and the ability to investigate an issue beyond the dashboard or headline number. Ability to manage multiple requests, reprioritize quickly, communicate delivery timelines, and maintain accuracy under tight deadlines. Ability to work independently with incomplete requirements while clarifying important assumptions. Clear written and verbal communication skills. Preferred Experience Customer Support, customer experience, contact center, or ecommerce analytics. Analysis of ticket-level, customer-level, order-level, or interaction-level data. Familiarity with CRM or helpdesk platforms and support workflows. Exposure to PostgreSQL, MongoDB, APIs, or JSON data. Experience with cohort analysis, customer retention, refunds, returns, or chargebacks. Experience improving slow queries or processing datasets that are too large for standard spreadsheets. Why You'll Love Working at Nysonian Culture We're founder-led and operate with speed, direct communication, and clear accountability We invest in tools and management practices that help colleagues do their best work Our products are used by customers globally AI is intentionally embedded in how we work, create, and scale Senior leaders are expected to create structure, make decisions, and stay close to execution Growth & Development Competitive pay and meaningful opportunities for performance-based advancement Ownership of strategy, systems, execution, and team buildout within your function Opportunity to build and scale a meaningful part of the business across two consumer brands Scope and compensation growth tied to performance, role expansion, and measurable business impact We are proud to be an equal opportunity employer. All qualified applicants will receive consideration without regard to race, color, sex, religion, gender, marital status, national origin, genetics, disability, age, veteran status or other characteristics.

Location: San Francisco, CA 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 RL teams Our Reinforcement Learning teams lead Anthropic's reinforcement learning research and development, playing a critical role in advancing our AI systems. We've contributed to all Claude models, with significant impacts on the autonomy and coding capabilities of Claude Fable 5.1 and Claude Opus 5.5. Our work spans several key areas: Developing systems that enable models to use computers effectively Advancing code generation through reinforcement learning Pioneering fundamental RL research for large language models Building scalable RL infrastructure and training methodologies Enhancing model reasoning capabilities We collaborate closely with Anthropic's alignment and frontier red teams to ensure our systems are both capable and safe. We partner with the applied production training team to bring research innovations into deployed models, and are dedicated to implementing our research at scale. Our Reinforcement Learning teams sit at the intersection of cutting-edge research and engineering excellence, with a deep commitment to building high-quality, scalable systems that push the boundaries of what AI can accomplish. About the role We're hiring for the Code RL team within the RL organization. As a Research Engineer, you'll advance our models' ability to design silicon. Hardware design is difficult and unforgiving – exactly the sort of domain we want Claude to excel at. You'll leverage your chip design expertise and turn it into tasks and signals for models to learn from. Specifically, you will: Invent, design, and implement RL environments and evaluations for agentic RTL generation, design (including formal) verification, physical design optimization. Work on cross-cutting RL considerations such as EDA-tool latency optimization and proxy rewards. Conduct experiments and shape our roadmap. Deliver your work into research and production training runs. Collaborate with other researchers and engineers across and outside Anthropic. You may be a good fit if you: Have expertise in ASIC or FPGA design: RTL, design verification (UVM, formal methods, coverage-driven), physical design (synthesis, place-and-route, timing closure), PPA optimization, DFT, ECOs. Are fluent with industry EDA tools and processes. Have taped out chips and have experience going from spec to silicon. Know how to balance research exploration with engineering implementation. Are passionate about AI's potential and committed to developing safe and beneficial systems. Strong candidates may also have: Experience with reinforcement learning, evaluations or environments. Built tooling or automation around chip design flows. Worked on ML accelerators or high-performance compute hardware. Familiarity with high-level synthesis or architecture simulators. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $500,000 — $850,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Remote, Toronto MinIO is the data and memory foundation for enterprise AI. Built for the speed, scale, and economics that AI and analytics demand, AIStor and MemKV unify every layer of the data stack, from agentic and inference context memory to tables and objects across core, edge, and cloud. Trusted by 77% of the Fortune 100, MinIO is redefining how AI factories, intelligent applications, and autonomous agents secure, persist, and unlock the full value of their data. We are seeking a technical, creative, and entrepreneurial Enterprise Account Executive to drive MinIO’s next stage of growth in the Toronto, Canada region. This is a role for a proven seller who can combine technical depth in storage, data infrastructure, data lake/lakehouse, AI/ML, and HPC environments with the ability to close complex $250K+ enterprise deals. The ideal candidate has experience competing against legacy storage solutions, thrives in a startup environment, and brings a mix of creativity, persistence, and technical credibility to win transformative deals. What You Will Do Drive New Business Acquisition : Actively prospect and identify enterprise opportunities, leveraging your network and creative outreach to generate pipeline and close high-value deals Technical & Vision Selling : Confidently articulate how MinIO delivers transformational outcomes for data infrastructure, AI/ML, and HPC not just incremental improvements. Translate technical capabilities into compelling business value. Close Complex Deals : Own the full sales cycle from lead to close, with a focus on $250K+ opportunities and annual quota attainment of $1.5M+ Compete & Win Against Legacy Software : Position MinIO against traditional storage vendors by demonstrating the advantages of cloud-native, S3-compatible object storage for modern workloads. Educate & Influence : Teach prospects about AI infrastructure optimization and data architecture modernization, leading them beyond product comparisons to strategic transformation. Quantify Value : Build business cases and ROI models that include quantified benefits, risk mitigation, and financial justification. Partner-First Territory Strategy : Build and execute partner-led co-selling strategies, working with channel and alliance partners to expand territory coverage and accelerate deals. Cross-Functional Collaboration : Partner with Solutions Engineering, Product, and Marketing to deliver tailored solutions, ensure successful POCs, and create a seamless customer experience. Forecasting & Planning : Maintain disciplined pipeline management, accurate forecasting, and clear account strategies that support predictable and scalable revenue growth. Your Skills and Experience Enterprise Sales Expertise : 7+ years of enterprise sales experience with consistent quota attainment ($1.5M+) and average deal sizes of $250K+. Technical Acumen : Strong knowledge of storage, data infrastructure, data lakehouse, AI/ML, and HPC environments. Able to engage technical stakeholders and translate technical concepts into business impact. Partner-Led Approach : History of building co-selling strategies with channel and alliance partners to scale market presence. Vision & Thought Leadership : Skilled at leading transformation sales by shaping buyer thinking and providing unique customer insights. Competitive Selling : Proven ability to sell against legacy storage solutions and displace entrenched vendors with a differentiated value proposition. Startup Experience : Demonstrated success in fast-paced, entrepreneurial environments where creativity and adaptability are essential. Challenger Mindset : Skilled at teaching, tailoring, and challenging customer perspectives to unlock new opportunities. Network & Territory Expertise : Deep relationships within the territory, including decision makers and influencers who can be leveraged to accelerate business. Communication & Influence : Exceptional presentation, negotiation, and relationship-building skills with both technical and executive stakeholders. Education : BA/BS in computer science, engineering, business, or related field; MBA preferred. Equal Opportunity Policy (EEO) MinIO is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.

Location: San Francisco, CA; New York, NY Workplace: OnSite ABOUT US Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Our co-founders are Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. WHAT YOU'LL DO - Learn the Platform: Become an expert on Sierra's platform and how AI agents transform customer experiences, from agent design and workflows to integrations, so you can speak credibly with technical and business stakeholders. - Discovery & Demos: Participate in efficient discovery calls to understand customer needs, answer technical questions (ideally in a single conversation), and grow to deliver standard product demos and account coverage for the sales team. - Proofs of Concept: Support senior SEs in building demos and proofs of concept, and keep demo environments current and ready for customer use. - APIs & Integrations: Educate customers on Sierra's APIs, webhooks, and integration patterns, and build and deploy scripts against a test environment on demand. - RFPs & Collateral: Help the team respond to RFPs, RFIs, and security questionnaires, and create presentations, positioning statements, and other sales collateral. - Partner with Sales: Advocate for your AEs and customers in internal technical conversations, join customer meetings and events, and keep CRM records and opportunity data accurate. - Close the Loop with Product: Act as a bridge between Sales and Product, translating customer feedback into actionable input and enrolling the right customers in beta programs. - Grow Your Craft: Complete product, sales, and process training and certifications, with structured coaching and mentorship from senior Sales Engineers. WHAT YOU'LL BRING - Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience. - 1+ years of experience in a customer-facing technical role, such as pre-sales, solutions engineering, technical support, or consulting. Strong internships or early-career experience count. - Ability to explain complex technical concepts clearly to both technical and non-technical audiences. - Working knowledge of at least one of: cloud software, APIs and integrations, or networking and automation systems. - Curiosity about how businesses run and a genuine interest in building trusted relationships with customers. - Strong written and verbal communication, organization, and attention to detail, plus comfort with CRM tools (e.g., Salesforce) and standard productivity software. - A collaborative, quick-learning mindset: someone who treats sales as a team sport and takes feedback well. EVEN BETTER... - Hands-on experience with APIs/webhooks, JSON, and scripting (e.g., Python or JavaScript). - Familiarity with AI and ML concepts, workflows, or conversational AI and customer experience platforms. - Exposure to consultative selling, or experience responding to RFPs and security questionnaires. - A history of tinkering, whether with hardware, sensors, or side projects, that shows you learn by building. OUR VALUES - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. WHAT WE OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits through Carrot - Lunch, as well as delicious snacks and coffee to keep you energized  - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. BE YOU, WITH US We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

Location: USA (Remote) Workplace: Remote Mysten Labs’ mission is to advance the internet through step-function improvements in what technology makes possible. We build foundational infrastructure and products that give people, businesses, and developers new ways to interact, transact, and create value. Our work spans on-chain finance and the emerging agent economy. Through Sui, Move, and our broader technology stack, we’re building the systems that make these experiences possible - from secure, scalable blockchain infrastructure to new ways for businesses and AI agents to interact. Responsibilities - Build and operate the Security Observability & Data Platform (tens of TB/month and growing). This covers ingestion, normalization and retention, plus the query and detection layer on top. Detections are code: tested, reviewed, and measured for precision. - Own endpoint security across the fleet: deploy, tune and respond with EDR; run and configure binary authorization; and set hardening baselines with IT Operations. - Lead threat hunting, internal investigations and insider-threat work. Handle security incidents end to end: triage, containment, forensics, root cause, and the control that prevents a repeat. - Build the next generation of security services and run them in production: zero-trust AuthN/AuthZ, a uniform blocking service, an application proxy, asset inventory, developer portal, and compliance as code. - Build and run the agent platform (local and Kubernetes). Use LLM agents to automate triage, enrichment, investigation and response, with deterministic checks wherever a model's answer isn't enough. - Review infrastructure and cloud designs (Kubernetes, AWS/GCP, bare metal, CI runners) for security, and help engineering teams adopt the shared services instead of building their own. - Run red-team and adversary-emulation exercises, and turn the results into detections and fixes. - Write runbooks and post-mortems that someone who wasn't in the room can follow at 3 a.m. Minimum Qualifications - Bachelor's degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience. - 5+ years in security engineering, detection and response, or infrastructure/SRE with a security focus, including hands-on incident response on endpoints and in the cloud. - Experience operating an EDR, writing and tuning detections. Knowledge of macOS and Linux internals as attackers use them: persistence, credential theft, process injection, living-off-the-land binaries. - Experience building or operating telemetry pipelines and a SIEM or security data lake at TB scale. Strong SQL, including detection logic over large datasets. - Hands-on production engineering: Linux, containers, Kubernetes, at least one major public cloud, infrastructure as code, monitoring and alerting. - Proficiency in Python or Go, and comfort with Rust or willingness to work in it (most of Mysten's stack are Rust). - Working knowledge of identity: SSO (OIDC/SAML), phishing-resistant MFA, device trust, and how session and token theft work. - Strong written communication: can run an incident channel and write the post-mortem. - Interest in the web3 space is required. Preferred Qualifications - Experience building zero-trust access, identity-aware proxies or policy engines. - Binary authorization or allowlisting at fleet scale - Familiarity with the threat actors that target crypto companies and their methods, from social engineering and fake campaigns to supply chain compromises. - Digital forensics (memory, disk, macOS unified logs) and malware analysis. - Experience building security tooling with LLM agents (Claude Code skills or comparable), and a clear sense of where models help and where deterministic tooling has to do the work. - Compliance as code (CIS benchmarks); experience in ISO 27001 or SOC 2 environments. - Publications, conference talks or open-source security tooling. Employment is contingent upon the successful completion of a background check, which may include verification of employment history, education credentials, criminal history, and other relevant information. Regarding the recent rash of technology job scams: Be aware that emails from genuine Mysten Labs group recruiters will always come from the @mystenlabs.com http://mystenlabs.com domain or related subdomains (e.g., mystenlabs.com/careers http://mystenlabs.com/careers). Remember: you can always verify positions on our job boards at www.mystenlabs.com/careers http://www.mystenlabs.com/careers. To support an efficient and fair hiring process, we may use technology-assisted tools, including artificial intelligence (AI), to help identify and evaluate candidates. All hiring decisions are ultimately made by human reviewers. Our team is remote first and we are hiring across the world. Here at Mysten Labs, you’ll be joining a world-class team with tremendous growth potential as we bring the next billion users to web3. We raised a $300M Series B round from top Silicon Valley led venture funds like Jump Crypto, Andreessen Horowitz (a16z), Binance Labs, Redpoint, Lightspeed, Coinbase Ventures, Electric Capital, Standard Crypto, NFX, Slow Ventures, Scribble Ventures, Samsung Next, Lux Capital, among other investment firms and strategic partners. Come join us and build the future of web3!

Location: San Francisco, CA 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 You will run the external audit calendar for our SOX 404 program as we scale toward an IPO. That means coordinating with our external auditors across the year, aligning testing windows with control owners, educating our control owners, and keeping requests and deliverables on schedule. You will also own SOX scoping and risk assessment cycles, deficiency tracking, and status reporting, and help roll out our GRC platform so the program runs from one system of record instead of spreadsheets. You will scale the program through AI-enabled workflows that reduce manual effort and speed up our SOX program. This role reports to the Head of Business Controls and works closely with everyone on the SOX and Internal Audit team. This is an individual contributor role for someone who keeps a complex program on schedule, writes clearly, and makes the program simpler each cycle. Key responsibilities Own the annual SOX audit calendar, including interim and year-end testing windows, walkthrough schedules, and key deliverable dates agreed with external auditors. Serve as the day-to-day point of contact for external auditor requests. Triage, route, and track each request to closure, including PBC (provided-by-client) lists and evidence deliveries. Coordinate auditor walkthroughs and fieldwork with process owners, control owners, and the SOX Testing team, so each control owner is asked for the same evidence once. Track auditor findings, management responses, and deficiency follow-ups, and report status to Internal Audit leadership. Prepare control owners and process owners for auditor sessions, and get evidence delivered on time without direct authority over them. Lead the annual SOX scoping and risk assessment, including quarterly refreshes, and support the annual Fraud Risk Assessment, so the program has appropriate scope and coverage under COSO. Monitor BP and IT SOX testing and report status to leadership and share status with external auditors Lead work with the business to improve control documentation, including education of templates and SOX guidance. Find optimization and automation opportunities across the SOX lifecycle through the use of AI. Support the rollout of the GRC tool for SOX, including control libraries, workflows, evidence requests, and testing templates. Define the data and reporting requirements the platform must meet, and test that it produces what the program needs. Run the quarterly sub-certification process and report results to leadership Own SOX program status reporting: dashboards and metrics for leadership, audit calendar progress, and deficiency and remediation status. Own status reporting for the full SOX lifecycle: scoping and risk assessment, testing, deficiencies and remediation, segregation of duties (SOD), SOC 1 report reviews, the fraud risk assessment, and audit calendar progress. Minimum qualifications Big 4 audit firm experience on SOX 404 or ICFR engagements, including managing audit calendars, PBC requests, and fieldwork with external audit teams. Experience working directly with external auditor teams on requests, testing schedules, and findings, from the company side. Several years of hands-on SOX 404 experience, including scoping, risk assessment, control documentation, testing, and deficiency evaluation. Working knowledge of the COSO framework, ICFR, and PCAOB standards. Experience developing or maintaining Risk and Control Matrices and process documentation or flowcharts. Experience implementing or administering a GRC systems Experience reporting program status, metrics, and issues to senior leadership. Ability to get control owners to deliver on time without authority over them. Clear writing and calm coordination under deadline pressure. A Bachelor's degree in a related field or equivalent experience. Preferred qualifications In-house SOX experience at a pre-IPO or newly public company. Experience running a fraud risk assessment. CPA, CISA, or similar certification. Comfort with SQL or data tools for reporting, and experience building lightweight automations, including with Claude. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $230,000 — $300,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Norwalk, Connecticut, United States Graham Capital Management, L.P. (collectively with its affiliates, "Graham") is an alternative investment manager founded in 1994 by Kenneth G. Tropin. Specializing in discretionary and quantitative macro strategies, Graham is dedicated to delivering strong, uncorrelated returns across a wide range of market environments. As one of the industry’s longest-standing global macro and trend-following managers, Graham remains committed to innovation, evolving its strategies through a robust investment, technology, and operational infrastructure. Graham harnesses the synergies between its discretionary and quantitative trading businesses to offer a broad suite of complementary alpha strategies, each built on the principles of thoughtful portfolio construction, active risk management, and diversification by design. Graham invests significant proprietary capital alongside its clients – including global institutions, endowments, foundations, family offices, sovereign wealth funds, investment management advisors, and qualified individual investors – reinforcing alignment of interests across all strategies. The foundation of Graham’s sustainability and success is the experience and contributions of its people. The firm seeks to cultivate talent, encourage the diversity of ideas, and respect the contributions of all. In turn, each employee shares in the responsibility of strengthening those around them. Description Graham Capital Management, L.P. is seeking a junior-to-mid-level Software Developer to join its Trading Technology team in support of continued growth across its quantitative and discretionary trading businesses. The role will focus primarily on maintaining, enhancing, and supporting critical Windows client and server applications, while also contributing to new development projects. The successful candidate will work within a small, collaborative team and interact closely with development peers, the quantitative trading team, and other business users, with meaningful autonomy in developing technical solutions. Responsibilities Working closely with developers and business users, primarily within the quantitative trading team, to gather requirements and scope projects Maintaining, enhancing, and updating existing Windows client and server applications, while also contributing to new development projects Analyzing existing systems for robustness and performance improvements Presenting ideas for system improvements, both technical and business-related Producing product specifications and training peers and users on system use and maintenance Performing unit, integration, and functional testing Maintaining and supporting business-critical pre-trade signal and order generation systems through UAT and production, with a focus on accuracy, reliability, and timely processing Requirements Bachelor's degree in computer science or a related field 1-5 years of relevant software development experience; strong recent graduates with relevant internship, academic, or project experience will also be considered. Prior financial services or investment management experience is not required Strong object-oriented programming skills; C# is preferred, but strong candidates with experience in Java, Python, or another modern programming language will also be considered Experience with or strong knowledge of concurrency, automated unit testing, and SQL Strong communication skills and the ability to collaborate with developers and business users throughout the software development life cycle Strong attention to detail and a commitment to developing reliable, thoroughly tested software Experience with event-driven architecture (messaging), F#, or functional programming (preferred) This role requires commuting into our Rowayton, CT office Mondays through Fridays. Base Salary Range The anticipated salary range for this position is $100,000 to $160,000.  The anticipated range is based on information as of the time this post was generated and does not include any discretionary bonus or benefits (see eligibility below). The applicable annual salary or hourly rate paid to a successful applicant will be determined based on multiple factors, including without limitation the nature and extent of prior experience, skills, and qualifications.  This wage range may be modified in the future. In addition, the employee who fills this role will be eligible for a discretionary annual bonus, as well as a wide array of benefit programs, such as medical and life insurance, 401(K) plans, and access to other healthcare programs. Notes: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, benefits, or any other form of compensation that a particular employee may be eligible for remains in the Company's sole discretion unless and until paid and may be modified at Graham’s sole discretion, consistent with the law. Graham is committed to providing equal employment opportunity to all employees and applicants for employment without regard to their race, color, religious creed, gender, age, national origin, ancestry, alienage, citizenship status, handicap, disability, marital status, sexual orientation, gender identity, pregnancy, childbirth or other related conditions, military status, genetic information, or any other personal characteristics protected by applicable law. This policy applies to all terms and conditions of employment, including hiring, placement, promotion, layoff, termination, transfer, leave of absence and compensation.

Location: Europe; France; United Kingdom; Spain; Germany; The Netherlands Workplace: Remote The Learning Team at ClickHouse is growing fast as more and more users discover the power of ClickHouse and its diverse use cases. As part of that growth, we want to ensure our hands-on training experience is best in class. We are looking for someone to accelerate the way we build technical content and to bring AI-powered tools and agents directly into the learning experience for our students. You will own the infrastructure that powers releases, certification exams, hands-on courses, and learning environments. You will also lead GenAI initiatives to create content more effectively and to build a broader AI-powered user experience. A TYPICAL DAY AS A CLICKHOUSE TECHNICAL CURRICULUM DEVELOPER, PLATFORM: - Manage the infrastructure that supports our Content as Code - New content PRs are thoroughly tested and easy to preview - Merged PRs are automatically released - Courses are periodically checked to ensure they are working properly - Courses are easily updated with new features - Lead the Learning team’s adoption of AI and GenAI: - build tools, prompts, and workflows to go from topic to course faster - Design and build AI-powered agents and tools for students - Evaluate new AI/GenAI capabilities and models as they emerge - Write and maintain provisioning and grading scripts for hands-on certification exams - Debugging issues that affect learners, instructors, and exam candidates - Building and running observability for everything learning: usage, failures, catalog health, dashboards, and alerts - Building and running analytics for user activity across all learning tools - Design and maintain hands-on lab environments across all training formats REQUIREMENTS: - 5+ years of experience with technical curriculum development on databases and/or distributed systems - 3+ years of experience in a technical education infrastructure or DevOps role (e.g. building and operating lab or sandbox environments) - Experience with machine learning applications and/or GenAI focused on content generation, developer tooling, and AI agents - 3+ years of experience building certification infrastructure including grading scripts for hands-on assessments - Strong scripting and automation skills, including experience with infrastructure as code, CI/CD pipelines, and GitHub - A self-motivated attitude that provides you with the desire and determination to complete projects in a fast-paced startup environment - Ability to learn new technologies quickly and effectively - Excellent communication skills, including the ability to write clear runbooks and technical documentation - You have a high level of responsibility, ownership, and accountability BONUS POINTS: - Experience with SQL - Experience with ClickHouse database - Experience with one or more Cloud Service Providers such as AWS, GCP, or Azure - Ability to work cross-functionally amongst engineering, support, product, and development teams - Technical degree (e.g., Computer Science or related field) YOU'LL LOVE THIS ROLE IF: - You thrive working at the intersection of engineering, AI, and education, building systems that directly impact how people learn - You are self-driven, curious, and eager to continuously learn and grow - You possess a mindset of teamwork, global engagement, empathy, and a drive for solving challenging problems PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new team member who joins our company receives stock options. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

Location: US - Headquarters - Maryland - Columbia Who is Tenable? Tenable® is the Exposure Management company. Over 40,000 organizations around the globe rely on Tenable to understand and reduce cyber risk. Our global employees support 65 percent of the Fortune 500, 50 percent of the Global 2000, and large government agencies. Come be part of our journey! What makes Tenable such a great place to work? Ask a member of our team and they’ll answer, “Our people!” We work together to build and innovate best-in-class cybersecurity solutions for our customers; all while creating a culture of belonging, respect, and excellence where we can be our best selves. When you’re part of our #OneTenable team, you can expect to partner with some of the most talented and passionate people in the industry, and have the support and resources you need to do work that truly matters. We deliver results that exceed expectations and we win together! Your Role: Join our InfoSec team at Tenable as a hands-on Mid Risk and Compliance Analyst. Drive compliance and assurance efforts for our products and cloud services while assisting with external risk assessments, security assessments, and audits. Make a real impact on our organization's security and customer trust and come join us at Tenable! Your Opportunity: Serve as a company representative with prospects, customers, and partners for security questionnaires, assessments, and audits Collaborate with Sales, Engineering, Information Security, IT, and Product Development teams to communicate compliance obligations and requirements Complete Third-Party Risk Assessments (TPRM Program) for new and potential vendors Educate stakeholders on their responsibilities Coordinate and participate in internal and external audit walkthroughs Help guide and perform remediation of issues identified during third-party assurance or internal reviews Support special projects as needed, which may include: Assisting in the development and execution of the internal compliance program, involving preparation for audits, certifications, and risk assessments. Assisting in the development, administration, and continuous monitoring of internal security controls. What You'll Need: Able to work hybrid/onsite location at HQ in Columbia MD. This position is US-based only 4+ years of experience performing information security and vendor risk assessments based upon industry accepted standards 4+ years of experience in responding to security assessments, SAQs, compliance requirements, etc 4+ years of experience with implementation, monitoring, and reporting of control processes, documentation, and remediation items Experience working with the Federal Risk and Authorization Management Program (FedRAMP) Be self-driven with the ability to work independently and comprehend all requirements Strong communication skills and ability to collaborate effectively with all levels Analytical mindset with a rational, pragmatic, and realistic approach to security, risk, and compliance Ability to adopt and utilize technology, with advanced proficiency in Excel, PowerPoint, and Vizio. And Ideally: Knowledge of governance, risk and compliance frameworks (GRC) Experience performing or undergoing internal and external audits Relevant security certifications (SSCP, Sec+, CISA, etc) Experience in a Big 4 or similar security consulting or risk assurance role Experience with conducting audits, privacy, BC & DR Program Management BS, BA in Information Technology, Computer Science, Information Security, or other related field #LI-Hybrid #LI-MM1 This is the base pay range for this position. Compensation for the role will depend on a number of factors, including the candidate's qualifications, skills, competencies, location and experience, and may fall outside of the range shown. Employees are also eligible for variable compensation in addition to base pay (commission for sales roles, bonus for non-sales roles), depending on company and individual performance. Tenable also offers a variety of comprehensive and competitive benefits which include: medical, dental, vision, disability and life insurance; 401(k) retirement savings with company match; an employee stock purchase plan; an employee referral program; flexible spending accounts; an Employee Assistance Program (EAP); education assistance; parental leave; paid time off (PTO); company-paid holidays; health and wellness events; and community programs. US Pay Range $80,500 — $107,166.67 USD We’re committed to promoting Equal Employment Opportunity (EEO) at Tenable - through all equal employment opportunity laws and regulations at the international, federal, state and local levels.  If you need a reasonable accommodation due to a disability during the application or recruiting process, please contact Recruiting@Tenable.com for further assistance. Tenable Data Consent Statement Tenable is committed to protecting the privacy and security of your personal data. Depending on your location, one or more of the following notices may apply to you: General Applicant Privacy Notice California Applicant Privacy Notice EU/EEA/UK Applicant Privacy Notice

Location: Remote - Australia About Vercel: Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience. Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. About the Role: Vercel is looking for a Customer Support Engineer to assist our customers with technical problems and questions when using Vercel products and services. Customer Support Engineer responsibilities include resolving customer concerns, creating and improving internal tooling, and engineering solutions to help Vercel customers get the most out of the platform. To be successful in this role, you must be an excellent communicator who’s able to earn our customers’ trust and understand technical problems quickly. You will also ideally have a background in frontend development, enjoy technical writing, and have a passion for digging deep to find and resolve root causes. In addition to this, you will be comfortable with evening, weekend, and on-call work based on a rota system. Ultimately, you will help establish our reputation as a company that is exceptional at helping its customers meet their goals throughout all parts of the customer journey while engineering solutions to constantly improve the customer experience. What You Will Do: Handle cases for all Vercel customers. Handle customer issues outside of regular case channels. Work with the community to provide advice and assistance. Develop and improve internal tools alongside engineering. Complete engineering work on a regular basis. Specialize in a specific product area and owning that within the team. Improve internal documentation, processes, and policies. Assist Customer Success Managers with Enterprise requests. About You: Frontend development experience, ideally with React and Next.js. A firm understanding of cloud technologies and serverless computing. A desire to engineer solutions for problems to resolve root causes. Exceptional communication skills, both written and oral. Comfortable working with a fully remote, globally distributed team. Availability to work within a weekend and on-call rota. A passion to deliver a customer experience second to none. Bonus if You: Have experience working with backend development, especially Node.js. Are open to a higher-compensated Saturday-Tuesday schedule Have experience with CDNs and setting up cloud infrastructure. Work with monorepos or custom CI/CD pipelines. Understand DNS well and can explain this clearly to others. Are experienced with incident management and procedural communication. Use your experience to mentor other members of the team. Benefits & Perks: Competitive compensation and stock options. Inclusive Healthcare Package (US only). Flexible working style - 100% remote, with teammates located throughout the globe. Learn and Grow - we provide mentorship and send you to events that help you build your network and skills. Unlimited PTO - 4 weeks recommended per year. Take time when you need it. Generous Gear Credit. Disclosures: Privacy: Please review our Job Applicant Privacy Policy for more information on how we handle your data. Equal Opportunity: Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.

Location: Zürich, CH 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. We are hiring a Workplace Coordinator to join Anthropic as the sole workplace team member in our Zurich office. You will own everything that makes the office run and everything that makes it a place people want to be — from building operations and vendor management to employee experience, events, and food and beverage programming. If you thrive as the person everyone counts on and love wearing many hats, this role is for you.  We have a strong in-person presence at Anthropic, and we care deeply that every office is a place where employees feel welcome, supported, and set up to do their best work. Responsibilities Office Operations & Building Management Coordinate with and manage vendors who handle day-to-day operations and maintenance of the Zurich office, including janitorial services, deliveries, office supplies, and building repairs Address workplace issues promptly (elevator down, restroom flood, HVAC failure, refrigerator not cooling, etc.), engaging the right vendor and keeping colleagues informed until the issue is resolved Conduct minor repairs and hands-on maintenance tasks; coordinate vendors for more complex work Support HVAC, preventive maintenance schedules, and building system upkeep Manage workstation setups for new hires and team changes, including monitors, monitor arms, and ergonomic equipment Support office moves, restacks, furniture reconfigurations, and space planning as the team grows Partner with Security on emergency response support and help maintain compliance with local safety codes, permits, and inspections Employee Experience & Hospitality Own the day-to-day employee experience for the Zurich office — you are the face of the office and the first point of contact for how things work Ensure new hires have a seamless first-day experience: desk ready, equipment set up, office tour, and a warm welcome Manage food and beverage programming, including snacks, coffee, catering for meetings, and team meals, keeping offerings fresh and responsive to employee preferences Monitor and proactively improve the in-office experience through regular walkthroughs, employee feedback, and observation — fix what is not working before it becomes a ticket Respond to requests in our internal ticketing system within SLAs, providing a high level of service through clear, timely, and empathetic communication Develop and preserve office culture, norms, and the hospitality standard that makes Zurich feel like an Anthropic office Events & Programming Plan and execute local office events: team gatherings, holiday celebrations, milestone moments, happy hours, and visiting-executive hospitality Coordinate with the broader Workplace, People, and Experience teams on company-wide events that have a Zurich component (All-Hands watch parties, offsites, team-building activities) Own event logistics end-to-end: space setup, catering, A/V, vendor coordination, budget tracking, and post-event teardown Support visiting teams and executives with workspace setup, local recommendations, and logistics Bring a hospitality mindset to every event and meeting setup, ensuring the space is welcoming and well-prepared Cross-Functional Coordination & Process Partner closely with People Operations, Security, the global Workplace team, IT/AV and local vendors to keep the office running smoothly Help maintain and improve Standard Operating Procedures so that recurring processes scale as the office and team grow Manage multiple competing priorities with clear judgment on what matters most Surface issues, risks, and facility needs to the global Workplace team early and clearly Minimum Qualifications Have 5+ years of experience in workplace coordination, office management, hospitality, or building operations Have working knowledge of building systems like HVAC, elevators, plumbing, and lighting, and can supervise maintenance, repairs, and services Bring a service-minded, solutions-oriented approach and genuinely enjoy being the person who makes things work Have experience managing food and beverage service, catering, or hospitality programming in an office setting Are comfortable independently managing an office — you have been the sole workplace person at a site before, or are ready to be Enjoy rolling up your sleeves, with no task too big or too small Have excellent organizational and communication skills, and can manage many competing priorities Preferred Qualifications Have managed workplace projects or programs (HVAC, preventive maintenance, office moves, events) in a multi-building or high-growth environment Have planned and executed office events, from small team gatherings to larger company celebrations Have experience at a high-growth technology company where processes are being built in real time Be interested in artificial intelligence and care that it is developed safely and beneficially Have experience managing permit, license, and inspection requirements Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: United States - Remote Chainguard is the trusted source for open source. By delivering hardened, secure, and production-ready builds of all the open source software engineers and AI agents rely on, Chainguard helps organizations build faster, stay compliant, and eliminate risk. Our customers include Fortune 500 enterprises and global industry leaders, including Anduril, Canva, Fortinet, Hewlett Packard Enterprise, OpenAI, Snap Inc., and Snowflake. Chainguard is venture-backed by leading investors, including Amplify, IVP, Kleiner Perkins, Lightspeed Venture Partners, Mantis VC, Redpoint Ventures, Sequoia Capital, and Spark Capital. At Chainguard, we are on a mission to secure the software supply chain by default. We are choosing to do this the right way, which is the hard way. Some have even called us “the Justice League of security.” Our team is founded by the industry's leading experts on open source software, security and cloud native development and is backed by Spark Capital, Sequoia, Amplify Partners, the Chainsmokers and more. Chainguard’s product portfolio includes Chainguard Images and Professional Services. Customers range from Fortune 500 companies in banking, fintech, government and infrastructure to startups and SMBs. Join us as we help organizations secure their software supply chain from source to production. The role, in a nutshell: As a Customer Success Manager at Chainguard, you will be the post-sales primary point of contact for our Commercial customers. You will be responsible for taking lead on customer engagements across onboarding, implementation, and adoption. In this role, you will work closely with Solutions Architects, Technical Support, Product Management, Engineering and Sales to ensure the successful onboarding and support of your customers. You are their day-to-day contact, building relationships with customers and driving outcomes, adoption, and delivering time-to-value. What you’ll do: Customer Onboarding: Lead the technical onboarding process for new customers. Partner with customers, pre-sales, and post-sales teams to understand requirements, goals, and challenges to formulate an onboarding plan. Account Management: Develop relationships with multiple levels of customer stakeholders from technicians to CISOs. Work closely with sales teams to identify the best path to renew and expand customers while minimizing churn risks. Training & Education: Collaborate with customers and our Edu team to ensure customers are educated on product features, best practices, and security principles. Product Expertise: Develop hands-on technical knowledge of Chainguard and stay up-to-date with industry trends, new features, and best practices so you can help customers optimize their use of Chainguard. Customer Advocacy: Act as the voice of the customer within the organization, advocating for customer needs and requirements to internal teams.  This means being a team player and having strong collaboration skills - this role must align with many different internal teams, influencing them to act toward customer needs. Issue Management: Collaborate with Technical Support and Customer Engineering teams to ensure timely resolution to customer issues. What we're looking for: 2+ years experience in customer facing roles collaborating with both technical and business teams - Customer Success, Professional Services, Technical Account Management or a combination of those plus Sales, Solutions Engineering, or Technical Support. Relevant domain knowledge of one or more of the following: Supply Chain Security, DevSecOps, AppSec, security infrastructure, containers, regulatory compliance requirements, vulnerability management, software development lifecycle. This is a strategic and proactive role, our expectation is that this person will take full ownership of their customer portfolio and act with a high level of autonomy. This includes making key decisions to drive effective customer outcomes; deciding when to include our executive team or C-suite in customer escalations, how to de-risk or de-escalate customer issues and conflict, and advocating to internal teams including sales, product, engineering, etc. An entrepreneurial mindset - you will be required to both deviate from established procedure and often build entirely new processes or practices to ensure we best serve customers. Demonstrates a strong commitment to continuous personal and professional development, actively seeking opportunities to enhance skills, expand knowledge, and advance within their career and field. Driven, high emotional intelligence, and strong priority management skills Strongly Preferred: Previous early-stage startup experience Passion for technology & cybersecurity Relevant hands-on technical experience, in one or more of the following domains: cloud computing environments (AWS, GCP, Azure), containers, Linux, Supply Chain Security, DevSecOps, AppSec, security, security infrastructure, regulatory compliance requirements, vulnerability management, software development lifecycle Compensation: Up to $125,000 base salary + bonus About Us We live and breathe our company values: We are customer obsessed — We focus on delivering solutions to our customers that create value and make their lives better. We have a bias for intentional action — We prioritize, plan, try things, and fail fast. We don't take ourselves too seriously (but we do serious work) — We are solving an important problem which takes focus, but we also like to enjoy the journey. We trust each other and assume good intentions — We're transparent with decisions to empower team members to make well informed decisions. A few of the benefits we offer: Flexible & Remote-First Culture: Work remotely with team meetup opportunities, bi-annual destination summits, and a monthly stipend for coworking spaces, phone and internet costs. Our Approach to Equity: Receive stock options upon hire and promotion. Plus, you can participate in secondary offerings and have 10 years to exercise your options (yes, you read that correctly: 10 years!). 100% Covered Health Insurance: We cover 100% of your health, vision and dental insurance premiums for you and your dependents. Nothing comes out of your paycheck. ∞ Flexible Time Off: Take the time you need – to do our best work, we need to recharge and reset. 18 Weeks Paid Parental Leave: We offer 18 weeks for birthing parents and 12 weeks for non-birthing parents, with the option to use it all at once or throughout your child's first year. If your experience is close but doesn't fulfill all requirements, please apply. We're building the best team in technology and are focused on hiring "Chainguardians" with unique backgrounds, perspectives, and experiences. Chainguard is an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. By submitting your application, you acknowledge that Chainguard will process your personal data in accordance with Chainguard's Global Candidate Privacy Notice . ©2026 Chainguard. All Rights Reserved.