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Location: Ukraine Project Overview: At Flosum , we build the leading native DevOps, Release Management, and Data Backup solutions for the Salesforce ecosystem. While our core platform is native to Salesforce, we utilize a hyperscale, open-cloud architecture on AWS for key web applications and high-throughput background processing. We are looking for an expert Senior QA Automation Engineer to design, build, and maintain an end-to-end automated testing framework that bridges our AWS cloud web applications and our core Salesforce architecture. This is a mission-critical role where you will ensure the seamless, secure sync of enterprise DevOps data between cloud microservices and Salesforce metadata. What You Will Do: Design and implement an automated testing framework covering both our AWS-hosted web app and our connected Salesforce native workflows. Automate end-to-end user journeys that cross platforms (e.g., actions initiated in our cloud web UI that trigger deployments or metadata backups inside Salesforce). Create stable UI tests for Salesforce Lightning that resist dynamic ID changes and effectively handle Shadow DOM components (using UTAM, Playwright, or enterprise testing tools). Develop robust API automation suites to validate real-time data integrations, webhooks, and secure queues running between AWS and Salesforce. Integrate the automated test suites cleanly into modern Git-based CI/CD pipelines. Requirements Required Experience & Skills: 4+ years in QA Automation Engineering, specifically handling complex enterprise integrations. Deep Salesforce Expertise: Exceptional understanding of Salesforce Lightning architecture, metadata, security models, and developer workflows. Technical Stack: Proficient in code-first automation (Playwright, Cypress, Selenium) OR deep expertise in Salesforce-specific automated testing systems (Provar, ACCELQ, or UTAM framework). API & Database Testing: Expertise in REST API testing and a strong command of SOQL queries for direct Salesforce database verification. DevOps Mindset: Solid experience setting up automated test steps within CI/CD pipelines (GitHub Actions, GitLab, or cloud developer tools).

Location: United Kingdom Project Overview: At Flosum , we build the leading native DevOps, Release Management, and Data Backup solutions for the Salesforce ecosystem. While our core platform is native to Salesforce, we utilize a hyperscale, open-cloud architecture on AWS for key web applications and high-throughput background processing. We are looking for an expert Senior QA Automation Engineer to design, build, and maintain an end-to-end automated testing framework that bridges our AWS cloud web applications and our core Salesforce architecture. This is a mission-critical role where you will ensure the seamless, secure sync of enterprise DevOps data between cloud microservices and Salesforce metadata. What You Will Do: Design and implement an automated testing framework covering both our AWS-hosted web app and our connected Salesforce native workflows. Automate end-to-end user journeys that cross platforms (e.g., actions initiated in our cloud web UI that trigger deployments or metadata backups inside Salesforce). Create stable UI tests for Salesforce Lightning that resist dynamic ID changes and effectively handle Shadow DOM components (using UTAM, Playwright, or enterprise testing tools). Develop robust API automation suites to validate real-time data integrations, webhooks, and secure queues running between AWS and Salesforce. Integrate the automated test suites cleanly into modern Git-based CI/CD pipelines. Requirements Required Experience & Skills: 4+ years in QA Automation Engineering, specifically handling complex enterprise integrations. Deep Salesforce Expertise: Exceptional understanding of Salesforce Lightning architecture, metadata, security models, and developer workflows. Technical Stack: Proficient in code-first automation (Playwright, Cypress, Selenium) OR deep expertise in Salesforce-specific automated testing systems (Provar, ACCELQ, or UTAM framework). API & Database Testing: Expertise in REST API testing and a strong command of SOQL queries for direct Salesforce database verification. DevOps Mindset: Solid experience setting up automated test steps within CI/CD pipelines (GitHub Actions, GitLab, or cloud developer tools).

Location: Serbia Project Overview: At Flosum , we build the leading native DevOps, Release Management, and Data Backup solutions for the Salesforce ecosystem. While our core platform is native to Salesforce, we utilize a hyperscale, open-cloud architecture on AWS for key web applications and high-throughput background processing. We are looking for an expert Senior QA Automation Engineer to design, build, and maintain an end-to-end automated testing framework that bridges our AWS cloud web applications and our core Salesforce architecture. This is a mission-critical role where you will ensure the seamless, secure sync of enterprise DevOps data between cloud microservices and Salesforce metadata. What You Will Do: Design and implement an automated testing framework covering both our AWS-hosted web app and our connected Salesforce native workflows. Automate end-to-end user journeys that cross platforms (e.g., actions initiated in our cloud web UI that trigger deployments or metadata backups inside Salesforce). Create stable UI tests for Salesforce Lightning that resist dynamic ID changes and effectively handle Shadow DOM components (using UTAM, Playwright, or enterprise testing tools). Develop robust API automation suites to validate real-time data integrations, webhooks, and secure queues running between AWS and Salesforce. Integrate the automated test suites cleanly into modern Git-based CI/CD pipelines. Requirements Required Experience & Skills: 4+ years in QA Automation Engineering, specifically handling complex enterprise integrations. Deep Salesforce Expertise: Exceptional understanding of Salesforce Lightning architecture, metadata, security models, and developer workflows. Technical Stack: Proficient in code-first automation (Playwright, Cypress, Selenium) OR deep expertise in Salesforce-specific automated testing systems (Provar, ACCELQ, or UTAM framework). API & Database Testing: Expertise in REST API testing and a strong command of SOQL queries for direct Salesforce database verification. DevOps Mindset: Solid experience setting up automated test steps within CI/CD pipelines (GitHub Actions, GitLab, or cloud developer tools).

Location: Romania Project Overview: At Flosum , we build the leading native DevOps, Release Management, and Data Backup solutions for the Salesforce ecosystem. While our core platform is native to Salesforce, we utilize a hyperscale, open-cloud architecture on AWS for key web applications and high-throughput background processing. We are looking for an expert Senior QA Automation Engineer to design, build, and maintain an end-to-end automated testing framework that bridges our AWS cloud web applications and our core Salesforce architecture. This is a mission-critical role where you will ensure the seamless, secure sync of enterprise DevOps data between cloud microservices and Salesforce metadata. What You Will Do: Design and implement an automated testing framework covering both our AWS-hosted web app and our connected Salesforce native workflows. Automate end-to-end user journeys that cross platforms (e.g., actions initiated in our cloud web UI that trigger deployments or metadata backups inside Salesforce). Create stable UI tests for Salesforce Lightning that resist dynamic ID changes and effectively handle Shadow DOM components (using UTAM, Playwright, or enterprise testing tools). Develop robust API automation suites to validate real-time data integrations, webhooks, and secure queues running between AWS and Salesforce. Integrate the automated test suites cleanly into modern Git-based CI/CD pipelines. Requirements Required Experience & Skills: 4+ years in QA Automation Engineering, specifically handling complex enterprise integrations. Deep Salesforce Expertise: Exceptional understanding of Salesforce Lightning architecture, metadata, security models, and developer workflows. Technical Stack: Proficient in code-first automation (Playwright, Cypress, Selenium) OR deep expertise in Salesforce-specific automated testing systems (Provar, ACCELQ, or UTAM framework). API & Database Testing: Expertise in REST API testing and a strong command of SOQL queries for direct Salesforce database verification. DevOps Mindset: Solid experience setting up automated test steps within CI/CD pipelines (GitHub Actions, GitLab, or cloud developer tools).

Location: Portugal Project Overview: At Flosum , we build the leading native DevOps, Release Management, and Data Backup solutions for the Salesforce ecosystem. While our core platform is native to Salesforce, we utilize a hyperscale, open-cloud architecture on AWS for key web applications and high-throughput background processing. We are looking for an expert Senior QA Automation Engineer to design, build, and maintain an end-to-end automated testing framework that bridges our AWS cloud web applications and our core Salesforce architecture. This is a mission-critical role where you will ensure the seamless, secure sync of enterprise DevOps data between cloud microservices and Salesforce metadata. What You Will Do: Design and implement an automated testing framework covering both our AWS-hosted web app and our connected Salesforce native workflows. Automate end-to-end user journeys that cross platforms (e.g., actions initiated in our cloud web UI that trigger deployments or metadata backups inside Salesforce). Create stable UI tests for Salesforce Lightning that resist dynamic ID changes and effectively handle Shadow DOM components (using UTAM, Playwright, or enterprise testing tools). Develop robust API automation suites to validate real-time data integrations, webhooks, and secure queues running between AWS and Salesforce. Integrate the automated test suites cleanly into modern Git-based CI/CD pipelines. Requirements Required Experience & Skills: 4+ years in QA Automation Engineering, specifically handling complex enterprise integrations. Deep Salesforce Expertise: Exceptional understanding of Salesforce Lightning architecture, metadata, security models, and developer workflows. Technical Stack: Proficient in code-first automation (Playwright, Cypress, Selenium) OR deep expertise in Salesforce-specific automated testing systems (Provar, ACCELQ, or UTAM framework). API & Database Testing: Expertise in REST API testing and a strong command of SOQL queries for direct Salesforce database verification. DevOps Mindset: Solid experience setting up automated test steps within CI/CD pipelines (GitHub Actions, GitLab, or cloud developer tools).

Location: Poland Project Overview: At Flosum , we build the leading native DevOps, Release Management, and Data Backup solutions for the Salesforce ecosystem. While our core platform is native to Salesforce, we utilize a hyperscale, open-cloud architecture on AWS for key web applications and high-throughput background processing. We are looking for an expert Senior QA Automation Engineer to design, build, and maintain an end-to-end automated testing framework that bridges our AWS cloud web applications and our core Salesforce architecture. This is a mission-critical role where you will ensure the seamless, secure sync of enterprise DevOps data between cloud microservices and Salesforce metadata. What You Will Do: Design and implement an automated testing framework covering both our AWS-hosted web app and our connected Salesforce native workflows. Automate end-to-end user journeys that cross platforms (e.g., actions initiated in our cloud web UI that trigger deployments or metadata backups inside Salesforce). Create stable UI tests for Salesforce Lightning that resist dynamic ID changes and effectively handle Shadow DOM components (using UTAM, Playwright, or enterprise testing tools). Develop robust API automation suites to validate real-time data integrations, webhooks, and secure queues running between AWS and Salesforce. Integrate the automated test suites cleanly into modern Git-based CI/CD pipelines. Requirements Required Experience & Skills: 4+ years in QA Automation Engineering, specifically handling complex enterprise integrations. Deep Salesforce Expertise: Exceptional understanding of Salesforce Lightning architecture, metadata, security models, and developer workflows. Technical Stack: Proficient in code-first automation (Playwright, Cypress, Selenium) OR deep expertise in Salesforce-specific automated testing systems (Provar, ACCELQ, or UTAM framework). API & Database Testing: Expertise in REST API testing and a strong command of SOQL queries for direct Salesforce database verification. DevOps Mindset: Solid experience setting up automated test steps within CI/CD pipelines (GitHub Actions, GitLab, or cloud developer tools).

Location: Netherlands Project Overview: At Flosum , we build the leading native DevOps, Release Management, and Data Backup solutions for the Salesforce ecosystem. While our core platform is native to Salesforce, we utilize a hyperscale, open-cloud architecture on AWS for key web applications and high-throughput background processing. We are looking for an expert Senior QA Automation Engineer to design, build, and maintain an end-to-end automated testing framework that bridges our AWS cloud web applications and our core Salesforce architecture. This is a mission-critical role where you will ensure the seamless, secure sync of enterprise DevOps data between cloud microservices and Salesforce metadata. What You Will Do: Design and implement an automated testing framework covering both our AWS-hosted web app and our connected Salesforce native workflows. Automate end-to-end user journeys that cross platforms (e.g., actions initiated in our cloud web UI that trigger deployments or metadata backups inside Salesforce). Create stable UI tests for Salesforce Lightning that resist dynamic ID changes and effectively handle Shadow DOM components (using UTAM, Playwright, or enterprise testing tools). Develop robust API automation suites to validate real-time data integrations, webhooks, and secure queues running between AWS and Salesforce. Integrate the automated test suites cleanly into modern Git-based CI/CD pipelines. Requirements Required Experience & Skills: 4+ years in QA Automation Engineering, specifically handling complex enterprise integrations. Deep Salesforce Expertise: Exceptional understanding of Salesforce Lightning architecture, metadata, security models, and developer workflows. Technical Stack: Proficient in code-first automation (Playwright, Cypress, Selenium) OR deep expertise in Salesforce-specific automated testing systems (Provar, ACCELQ, or UTAM framework). API & Database Testing: Expertise in REST API testing and a strong command of SOQL queries for direct Salesforce database verification. DevOps Mindset: Solid experience setting up automated test steps within CI/CD pipelines (GitHub Actions, GitLab, or cloud developer tools).

Location: Belgium Project Overview: At Flosum , we build the leading native DevOps, Release Management, and Data Backup solutions for the Salesforce ecosystem. While our core platform is native to Salesforce, we utilize a hyperscale, open-cloud architecture on AWS for key web applications and high-throughput background processing. We are looking for an expert Senior QA Automation Engineer to design, build, and maintain an end-to-end automated testing framework that bridges our AWS cloud web applications and our core Salesforce architecture. This is a mission-critical role where you will ensure the seamless, secure sync of enterprise DevOps data between cloud microservices and Salesforce metadata. What You Will Do: Design and implement an automated testing framework covering both our AWS-hosted web app and our connected Salesforce native workflows. Automate end-to-end user journeys that cross platforms (e.g., actions initiated in our cloud web UI that trigger deployments or metadata backups inside Salesforce). Create stable UI tests for Salesforce Lightning that resist dynamic ID changes and effectively handle Shadow DOM components (using UTAM, Playwright, or enterprise testing tools). Develop robust API automation suites to validate real-time data integrations, webhooks, and secure queues running between AWS and Salesforce. Integrate the automated test suites cleanly into modern Git-based CI/CD pipelines. Requirements Required Experience & Skills: 4+ years in QA Automation Engineering, specifically handling complex enterprise integrations. Deep Salesforce Expertise: Exceptional understanding of Salesforce Lightning architecture, metadata, security models, and developer workflows. Technical Stack: Proficient in code-first automation (Playwright, Cypress, Selenium) OR deep expertise in Salesforce-specific automated testing systems (Provar, ACCELQ, or UTAM framework). API & Database Testing: Expertise in REST API testing and a strong command of SOQL queries for direct Salesforce database verification. DevOps Mindset: Solid experience setting up automated test steps within CI/CD pipelines (GitHub Actions, GitLab, or cloud developer tools).

Location: Belarus Project Overview: At Flosum , we build the leading native DevOps, Release Management, and Data Backup solutions for the Salesforce ecosystem. While our core platform is native to Salesforce, we utilize a hyperscale, open-cloud architecture on AWS for key web applications and high-throughput background processing. We are looking for an expert Senior QA Automation Engineer to design, build, and maintain an end-to-end automated testing framework that bridges our AWS cloud web applications and our core Salesforce architecture. This is a mission-critical role where you will ensure the seamless, secure sync of enterprise DevOps data between cloud microservices and Salesforce metadata. What You Will Do: Design and implement an automated testing framework covering both our AWS-hosted web app and our connected Salesforce native workflows. Automate end-to-end user journeys that cross platforms (e.g., actions initiated in our cloud web UI that trigger deployments or metadata backups inside Salesforce). Create stable UI tests for Salesforce Lightning that resist dynamic ID changes and effectively handle Shadow DOM components (using UTAM, Playwright, or enterprise testing tools). Develop robust API automation suites to validate real-time data integrations, webhooks, and secure queues running between AWS and Salesforce. Integrate the automated test suites cleanly into modern Git-based CI/CD pipelines. Requirements Required Experience & Skills: 4+ years in QA Automation Engineering, specifically handling complex enterprise integrations. Deep Salesforce Expertise: Exceptional understanding of Salesforce Lightning architecture, metadata, security models, and developer workflows. Technical Stack: Proficient in code-first automation (Playwright, Cypress, Selenium) OR deep expertise in Salesforce-specific automated testing systems (Provar, ACCELQ, or UTAM framework). API & Database Testing: Expertise in REST API testing and a strong command of SOQL queries for direct Salesforce database verification. DevOps Mindset: Solid experience setting up automated test steps within CI/CD pipelines (GitHub Actions, GitLab, or cloud developer tools).

Location: Anywhere in Belgium; Anywhere in France HEALTH CAN’T WAIT. Not for symptoms to get worse. Not for a six‑month appointment. Not for a system to catch up. But that’s exactly how healthcare works today. You wait, until you can’t. Alan exists to end the wait. Health is a universal right, and we believe this right can only become real when it’s coupled with prevention. We need to stop treating health as something we repair and start treating it as something we build, every day. It’s not solely a question of willpower. It’s the healthcare system itself that needs to work for everyone, in a sustainable way. So we are building the new standard in prevention insurance. Alan is the first company that integrates insurance, prevention, and care into a single, acclaimed user experience. We are on an incredible journey to build a global leading company, with a unique culture https://alan.com/en/careers. We already partner with 40K+ companies of all sizes, serving more than 1M+ members, and have reached €800M+ in ARR. Prevention as the new norm. That's what we're building with our team of 1000+ people. If it speaks to you: we're hiring across France, Spain, Belgium, and Canada. And beyond. ⭐️ YOUR MISSION ⭐️ Taking care of our clients is at the heart of our business. Our User Care Experts are on the frontline to answer our members (via chat, email and phone), solve their problems and offer an amazing customer experience. - Helping our members - Your first mission will be to deal with our members' requests in a meaningful, delightful and timely manner. Your goal is to be transparent, accurate, clear and helpful to our members. After all, we are dealing with a crucial subject — their health — and we are committed to offering them exceptional service. - Improving Alan - As a User Care Expert, you’ll also have the opportunity to work on projects next to answering our members. The focus of these projects depends on your interest and background.  We expect you to help us implement better processes and tools, and to contribute to improving our product. This will involve analysing what you see, identifying areas for improvement and making suggestions on what we can do better. - Grow and learn - At Alan, we are dedicated to learn as much as we can. It's not every day that you can join a fast-growing company, tackling an obsolete sector by putting the member at the heart of it all. You will become an expert in healthcare and insurance, and help new members of the great healthcare team. - Pioneering - The 🇧🇪 care team today is still relatively small. However, we have bold ambitions and will grow quickly. You will be involved in building, nurturing and enhancing our care team on a daily basis.   ⭐️ JOIN THE 🇧🇪 CARE TEAM ⭐️  You will be a good fit for the role if you: - Have 2+ years of experience in: a customer-support role; or education; or communication - Are bilingual English + Dutch - Have a passion for caring for members, and solving their problems - Love written communication - Are comfortable with computers and technology in general - Have a very empathetic mindset - Are motivated and entrepreneurial - Have an enthusiasm for teamwork, learning and teaching   - Bonus points if you know how the Belgian healthcare system works — we will teach you if you don’t. 😉   Everything else you know is a plus! We want our team to be made up of a diversity of experiences and backgrounds. Do you want to get a glimpse of the team? ⬇️ Watch Elouiza's video or click on the name of Eva https://www.youtube.com/watch?v=ONiDgphIqII or Jules https://www.youtube.com/watch?v=FsBJqd_SsRg to hear their testimonials 👀 Good to know: - For this opportunity, we are aiming to hire full time and within the A1-B1 level range https://alan.com/en/careers/a/salary-equity. - Insurance is a regulated profession and requires all agents in contact with the public to pass a basic insurance knowledge test within their first year of exercise (some exemptions apply). This exam is covered by Alan ; reach out to us to know more! 🌍 HOW WE WORK - Location: You must be legally eligible to work from Belgium or France. - Remote work: We offer remote work flexibility, but we value in-person collaboration   🎯 IMPORTANT NOTE: WE HIRE PEOPLE, NOT ROLES. If you're excited about this opportunity but don't check every box, we'd love to hear from you. Everyone, no matter how underrepresented, should feel free to apply, as it can only bring learnings or success. If you identify yourself as a woman: Did you know that research shows women often apply only when meeting 100% of requirements? Remember, this is just a guide, not a checklist. We'll be thrilled to receive your application!   🔖 Check out our About Alan https://alan.com/about and Career https://alan.com/careers pages, as well as our Medium https://medium.com/alan, blog https://blog.alan.com/ and Glassdoor page https://www.glassdoor.com/Overview/Working-at-Alan-EI_IE1696043.11,15.htm for more info.   YOU WANT TO KNOW MORE ABOUT ALAN? 🙌 Perks & Benefits https://alan.com/en/careers/a/salary-equity: Alaners are provided with a stimulating environment and perks ensuring they are happy, efficient and spend only high-quality time with co-workers. 🤘A strong culture https://alan.com/en/about/a/leadership-principles: People joining Alan are often surprised and delighted by our innovative working method. We have a set of cultural values that guide our approach to work

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 Manager of Startups Applied AI Architects at Anthropic, you will drive adoption of frontier AI by leading a team of technical architects to help startups build AI-native products with the Claude Developer Platform. Your team is expected to win the trust of founders and engineers by supporting their technical ambitions from early product to scale. You'll bring your own builder credibility and startup instincts to the role — setting the vision for what great technical partnership looks like in the startup segment, developing a high-performing team, and personally carrying relationships with Anthropic's most strategic early-stage accounts. This is a role for a proven technical go-to-market leader who knows how to build teams that move at startup speed, earn the trust of deeply technical buyers, and turn a scrappy early engagement into a lasting technical partnership. You'll define the playbooks for nurturing and scaling new customers, set the bar for technical excellence, and grow the people — while staying close enough to the ground to know what's actually working. You will partner with sales leaders and work as one team to support your customers. Responsibilities: Lead, develop, and grow a team of Startups Applied AI Architects — setting a high bar for technical credibility, customer impact, and startup-paced execution Drive team performance through clear goal-setting, regular coaching, and a culture of continuous technical development Personally lead pre-sales engagements with high-priority startup accounts, from initial technical discovery through deployment and expansion, modeling what great looks like for your team Build and own the segment's technical playbooks: how to run technical evaluations, develop customer-specific eval frameworks, architect LLM solutions for resource-constrained early-stage teams, and win against competitive alternatives Partner with aligned Account Executives and GTM leadership to shape segment strategy and drive Claude API adoption across the startup ecosystem Ensure your team consistently surfaces insights on how startups are building with Claude — emerging use cases, deployment patterns, architectural decisions — and translate that signal into actionable feedback for Product and Engineering Drive cross-functional influence across Sales, Product, and Engineering to advance startup customer needs and shape roadmap priorities Build Anthropic's technical presence and credibility in the startup ecosystem through events, conferences, workshops, and content Stay ahead of the AI engineering landscape — context engineering, eval frameworks, agentic architectures, developer tooling — and ensure your team is operating at the frontier You may be a good fit if you: Have 8+ years of experience in technical customer-facing roles (Solutions Architect, Sales Engineer, Forward Deployed Engineer, or similar), with 5+ years leading and managing pre-sales or technical go-to-market teams Have a strong track record of building and developing high-performing SA teams — you know how to hire well, coach effectively, and create an environment where technical talent grows and does their best work Have deep experience working with startups or high-growth technology companies — you understand the velocity, constraints, and culture of early-stage companies and know how technical decisions get made at each stage of the journey Bring genuine builder credibility: you've built and deployed LLM-powered applications, you speak the language of founders and founding engineers, and you can earn the trust of deeply technical audiences without relying on a title Have hands-on expertise with context engineering, LLM evaluation frameworks, and modern AI architectures, and can guide both your team and customers through the decisions that separate a prototype from a production-grade system Are comfortable with Python and fluent in the LLM frameworks, tools, and integration patterns common in startup engineering stacks Are energized by building in ambiguous environments — you're excited to define the playbook, not just run it, and you thrive in fast-moving contexts where the technology and the customer segment are both evolving rapidly Have a genuine passion for making powerful technology safe and societally beneficial Strong candidates may have: Experience as a technical founder or in a founder-led sales motion, giving you firsthand understanding of what technical buyers in the startup world are actually evaluating A track record of winning competitive technical evaluations against other LLM providers Experience building foundational team infrastructure from the ground up: hiring frameworks, onboarding programs, technical playbooks, and coaching systems in a high-growth environment Deep familiarity with how developer infrastructure procurement evolves from seed through Series B and beyond, and how to adapt your team's approach accordingly A visible technical presence in the startup or AI engineering community through conference talks, written content, or open-source contributions 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: $315,000 — $380,000 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: United States (Remote) Workplace: Remote About Teleport Don't wait for the future of infrastructure. Be part of it. Teleport is the AI Infrastructure Identity Company. We're solving one of the hardest problems in security: giving every human, machine, workload, and AI agent a cryptographically secured identity, improving engineering velocity while maintaining security. We make trusted computing simple. This gives you the freedom, power, and autonomy to build and innovate with confidence. Remote-first and globally distributed, we work with companies like Nasdaq, DoorDash, and Elastic to secure infrastructure for an AI world. ABOUT THE ROLE Teleport Cloud takes our traditionally open-source and enterprise access plane and provides a SaaS option for our customers to adopt. As such, our team is building our production and software as a service infrastructure from scratch. We tackle the hard problems that allow our customers to trust us for secure and reliable access to their infrastructure. Excellent security is table stakes; a security breach can compromise our customers' infrastructure. We must also balance security with maintaining productivity and building a compelling product offering for our customers. Most of the code you will write will be written in Go. We strongly encourage you to explore our GitHub Repo https://github.com/gravitational to get a taste of what we are building. Important information - We require to be in-person in our Oakland, CA, office for the onboarding week. - We conduct background checks. WHAT YOU'LL DO - Re-engineer the core teleport product to scale globally and optimize routing latency for teams distributed around the world - Re-write portions of the core Teleport product to enable our goals for the cloud product - Build out our monitoring and observability stack to alert us to production issues and minimize false positives so we can all get a good sleep at night - Work on automation to tackle and eliminate the highest toil activities - Execute on traditional operation challenges, such as patching, scaling, backup and restore, disaster recovery, and more - Investigate the outages and incidents our customers experience with our product - Participate in the on-call rotation to ensure 24/7/365 system uptime. WHAT WE'RE LOOKING FOR - Willingness to collaboratively work with Teleports’ engineers on coding challenge in Go https://github.com/gravitational/careers/blob/main/challenges/sre/challenge.md as part of the interview process. - 8+ years of progressive experience in Software Engineering and/or SRE/DevOps roles. - Strong experience in Linux systems, networking, containers, and troubleshooting. - Have solid Go and production Kubernetes development experience. - Technical leadership experience. - Strong experience developing scripts, automation, submitting patches to the product codebase, or building tooling that incorporates AI agents into operational workflows. - AWS Cloud experience is preferred, GCP experience is acceptable. - Systems Observability tools: Prometheus, Grafana, Loki etc. - Operate and support the observability platform to maintain visibility and reliability. - Experience operate in a team where sound security choices are critical, and where reasoning about correctness and system invariants (e.g. formal or property-based methods) is valued. - Intellectual curiosity and a willingness to master new technologies. - Transparency, honesty, and a no-ego mindset. - Excellent communication skills. HOW WE HIRE Our process is designed to be straightforward and respectful of your time. We skip performative rounds and focus on what matters: understanding how you think and what you can do. For this role, we use a take-home challenge that mirrors real work at Teleport — on your time, your way. You'll have support from the team throughout. 1. Zoom meeting with a Teleport recruiter. You’ll learn about the company, our products, compensation philosophy, interview process, and key requirements. 2. Zoom meeting with the Hiring Manager or a Lead Engineer. They will walk you through the coding challenge and answer your questions. 3. Coding challenge collaboration. The day after your meeting with the Hiring Manager or Lead Engineer, you join a Slack channel and complete a coding challenge in Go https://github.com/gravitational/careers/blob/main/challenges/sre/challenge.md using GitHub. The challenge usually takes about 2 weeks and ends with a Zoom meeting with the Hiring Manager and a member of the interview team to review your solution. 4. If your challenge solution meets our bar, you'll receive an offer to join Teleport. Why Teleport You're joining a company where the problem is real, the team is small, and your work shows up directly in the product. We're not a big company, you won't get lost in a crowd. You'll have the freedom and autonomy to do what you're great at, alongside teammates who care about doing it right and want to see you succeed. The work is collaborative, there's real room to grow, and the mission is one worth showing up for. Remote-first and globally distributed, we're genuinely passionate about what we're building. The Benefits At Teleport, we believe your career is more important than a list of perks. That's why we focus on making your day-to-day the best it can be — giving you the autonomy, access, and support to do the best work of your career. - Extensive health coverage - Annual expense budget - Rest and recovery policies that maximize your ability to recharge - Investment in your future with retirement savings plans - Professional development opportunities Teleport is an equal opportunity employer and does not discriminate against any employee or applicant on the basis of age, color, disability, gender, national origin, race, religion, sexual orientation, veteran status, or any classifications protected by federal, state, or local law. Candidate Privacy Notice: For information about our collection and processing of job applicant personal data for this position, please see our Job Applicant Privacy Policy and Notice of Collection at goteleport.com/legal/apply/job-applicant/ http://goteleport.com/legal/apply/job-applicant/

Location: Remote-Friendly (Travel Required) | Canada 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 Senior Data Center Capacity Delivery Manager at Anthropic, you'll embed with project teams responsible for delivery of leased and partnered data center capacity. Your primary role will be to lead these partners to deliver on the fastest possible schedule while maintaining a safe construction site and protecting the finished quality of the data center. Additionally, you'll validate deal readiness, coordinate complex stakeholder relationships, maintain regular reporting and status tracking, and ensure seamless transitions from project inception through operational readiness. This role offers a unique opportunity to shape how Anthropic secures and activates the compute infrastructure needed to train and deploy frontier AI systems, working at the intersection of real estate, construction, and cutting-edge AI infrastructure. Responsibilities Lead. This is a role where leadership trumps management and process. You will be at one or more project sites 60% of the time or more and expected to shape the culture, approach, and aggressiveness that define those extended site teams. The goal is to impact outcomes in a favorable manner. You are expected to be a force multiplier that develops and enhances the skillset that development partners, general contractors, and key trades bring to the project(s) you are overseeing. That means being a subject matter expert in the various cross functional elements of data center delivery and increasing the team's performance with that knowledge and commitment to alignment. Confirm deal readiness and serve as the gatekeeper to validate transaction viability from Letter of Intent (LOI) through lease execution, ensuring all predevelopment, planning, technical and business requirements are met before commitment Partner with landlords and developers post-deal to serve as Anthropic's primary point of contact, coordinating across internal stakeholders, tracking construction progress, and facilitating critical information exchange between development partners and Anthropic stakeholders Represent Anthropic in key technical and operational decisions required by partners during the development process, ensuring our infrastructure requirements are met while maintaining strong partnerships Drive seamless handoffs to operational state with heavy focus on engagement across networking and deployment teams, enabling rapid workload turn-ups and minimizing time-to-production Prepare and present regular executive reporting on progress versus plan for facility development, supporting forward capacity planning and strategic decision-making Identify and mitigate risks throughout the delivery lifecycle, proactively addressing blockers that could impact timeline, cost, or technical requirements Develop and refine standardized processes and playbooks for facility delivery, driving continuous improvement as Anthropic scales its infrastructure footprint You may be a good fit if you Have 10+ years of experience in the highest level of site leadership managing data center delivery, construction projects, or infrastructure deployment at scale.  You won’t have a big direct team to delegate too but will instead be able to treat the entire cross functional organizations at a jobsite as your team. Have a strong understanding of the end to end (dirt to delivery) data center development process to include entitlements and permitting, planning and supply chain, execution, commissioning, and handover. You are not an administrator but an active player in the arena comfortable making decisions and guiding delivery execution without the need to consult across multiple external parties. You should understand data center design and construction as a simple and repeatable process that allows you to build and optimize delivery without a playbook and with minimal processes and tools handed to you.  If you can think about building a data center the way kids might build a tree fort or construct a lego set, we want to talk. In this role you will often be on an island and responsible for your own destiny. You will have free reign to develop your own approaches with the mission guidance being your only bounds. No one will be there to empower your efforts; you will create your own influence by building relationships at the site and diving in at all phases to deliver success. You must thrive operating with ambiguity and have a willingness to own project outcomes, knowing that the buck stops with you. In this role, it is imperative that you are as comfortable in boots on a job site working to solve productivity issues with a group of blue collar trades as you are working across executives at development and contractor partners to optimize contract and commercial structures that incentivize delivery speed. It's a bonus if you Understand AI/ML infrastructure requirements, including high-density power and advanced cooling systems Have had leadership positions (General Superintendent, Project Manager) within a GC or EPC on hyperscale data center projects or in self performance of hyperscale data center development projects. Prioritize extreme ownership and have the ability to create winning cultures across diverse job sites. Are deeply familiar with lease negotiations, construction contracts, or real estate development processes and have strategies to move those arrangements from traditionally transaction and risk managed arrangements to collaborative efforts that align incentives around accelerated delivery of facilities 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: San Francisco, California; New York, New York Workplace: Hybrid WHO WE ARE Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. ABOUT THE ROLE: The People Team at Notion exists to help build a generational company - one that enables people to do their best and most meaningful work. Hiring exceptional talent, at the right time and with care, is central to that mission. We’re looking for a Recruiting Coordinator to partner closely with Recruiters and Hiring Managers to create a thoughtful, well-run, and genuinely human candidate experience. This role sits at the center of our hiring process and plays an important role in how candidates experience Notion.   This role can be based in either San Francisco or New York City. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We’re looking for someone who’s excited to work alongside the team during those days. WHAT YOU'LL ACHIEVE: CREATE A CANDIDATE EXPERIENCE THAT REFLECTS NOTION You’ll be one of the first and most consistent touchpoints candidates have with Notion. From scheduling interviews to answering questions and resolving issues, you’ll help ensure every interaction feels organized, respectful, and intentional. You’ll collaborate closely with Recruiters and Hiring Managers to continually refine our processes—so candidates leave feeling excited about what we’re building, regardless of the outcome. COORDINATE INTERVIEWS WITH CARE AND PRECISION You’ll manage and schedule a high volume of interviews across primarily non-technical roles, balancing speed with attention to detail. You’ll anticipate needs, communicate clearly, and keep candidates and interviewers aligned - making the process feel smooth and predictable, even as things move quickly. BUILD STRONG RECRUITING FOUNDATIONS This role is designed for someone early in their recruiting career who wants to build durable fundamentals. Over time, you’ll gain exposure to how we plan, execute, and scale hiring at Notion. With support from the team, you could take on light sourcing work, process improvements, and additional ownership as your skills grow - creating a strong foundation for future growth in recruiting, operations, or people-focused roles. SKILLS YOU'LL NEED TO BRING: - 6–12 months of experience in recruiting coordination or interview scheduling, ideally in a high-volume environment - Strong organizational and prioritization skills - you’re proactive, reliable, and thoughtful about details - A steady, calm approach in fast-moving environments - Ability to navigate ambiguity with optimism - Clear, kind, and professional communication skills - you’ll represent Notion to a large and diverse group of candidates - You don’t need to be an AI expert, but you’re curious and willing to adopt AI tools to work smarter and deliver better results NICE TO HAVES: - Experience supporting both technical and non-technical roles, including remote and in-person interview scheduling - Experience with Ashby, Workday, Slack - Experience in a high-growth or startup environment Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco or New York City, the estimated base salary range for this role is $85,000 - $95,000 per year. By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550?pvs=74 and NYLL 144 https://notion.notion.site/Ashby-AI-Bias-Audit-2b0efdeead05803bbbfae159ec86c528. #LI-Onsite A NOTE ON AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. EQUAL OPPORTUNITY & ACCOMMODATIONS We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.

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 Beneficial Deployments Beneficial Deployments ensures AI reaches and benefits the communities that need it most. We partner with nonprofits, foundations, and mission-driven organizations to deploy Claude in education, global health, economic mobility, and life sciences — focusing on raising the floor for those who need it most. About the Role We're looking for an Applied AI Architect to join our Beneficial Deployments, Life Sciences team, focused on helping scientists everywhere get the most from Claude, especially Claude Science. You'll run enablements, workshops and hackathons, build demos that show what frontier models can do for the field, and grow a community of scientists building with Claude. You'll also scale scientific enablement inside Anthropic, so our Applied AI and customer teams can support scientists without you in the room. Responsibilities Be the DRI for scientific enablement: decide what to run, build the materials, deliver them, and measure whether research teams reach daily use of Claude. Lead our programs for activating scientists at scale, such as LSVP and Claude for Researchers: set the goals, design the program and run it. Build demos, notebooks and tutorials that show scientists what frontier models can do in their own work, and be an active voice where scientists share tools online (X, LinkedIn, etc.). Scale scientific enablement inside Anthropic: train our Applied AI and Customer Success teams, and build playbooks they can run without you. Build and lead a scientist community around Claude, and be its ambassador (and support ambassador programs), from small meetups to large conferences. Be the voice of scientists inside Anthropic: turn what you hear into concrete asks and see them through to launch, and partner with Marketing and Comms so campaigns and content reach the scientific community. You Might Be a Good Fit If You Have Deep hands-on expertise with AI tools for science such as Claude Science: you know where they shine and where they break. Real credibility as a scientist: hands-on experience doing science in academic labs, biotechs, pharma or research institutes, ideally as a user of the kind of tools you'll help scientists adopt. Experience building or running programs for scientific communities is a plus. A track record of helping many scientific teams adopt a new tool through demos, trainings, workshops or hackathons. Up to date on AI for science, such as agentic analysis and AI co-scientists, and able to explain it to working scientists. Hands-on experience building with LLM APIs: you can prototype a working demo. You don't need to write production code. Clear written and spoken communication: talks, tutorials and docs that scientists find useful. A track record of taking programs or products from idea to results: you set the direction, did the work and were accountable for the outcome, often with no playbook. Comfort operating in ambiguity: you bring clarity to fuzzy problems, wear multiple hats and do whatever it takes to further the mission. 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: $275,000 — $315,000 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 What you’ll be part of Garner is on a mission to transform the U.S. healthcare system — and we’re the only proven player doing exactly that. We partner with employers to redesign how healthcare works: applying 550+ proprietary clinical metrics across 80+ specialties to a dataset of 320M+ patients to identify the best-performing doctors, then using compelling incentives to steer members to the care that helps them get healthier, faster. The result is a rare “win win” — better care and lower costs for both members and employers. In just five years, our work has helped over 2.5 million people access higher-quality care and saved $1B in healthcare costs. We recently raised our Series E and have doubled five years running. If you've ever wanted your work to solve a problem that touches every person in this country, this is the opportunity to do exactly that. You'd be joining a team fundamentally reimagining healthcare in the U.S. — and using AI to scale that impact further and faster than anyone else can. Who we want This is a role for someone who wants to work on a hard problem, deliver real impact and be pushed to be the best version of themselves. As a Provider Sales VP, you’ll be embedded in Provider Partnerships and report directly to the SVP of Provider. You will own Garner's provider segment at its most senior level, as a quota-carrying seller responsible for the marquee health-system and enterprise relationships that define this category for us. You will help set the segment's go-to-market approach, from sub-segments to pursue, to lead generation, to closing strategy. This is a seat for someone who has built a selling book from limited infrastructure before and wants to do it again with a genuinely differentiated product and dataset behind them. What you will do Own the provider segment end to end, from go-to-market strategy through close, carrying an individual quota against your assigned budget. Land and expand marquee health-system and enterprise logos, opening executive-level doors up to health-system CEO. Run a data-driven sales motion at the most senior level: connect Garner's data to a buyer's top strategic priorities. Lead complex, committee-driven negotiations to close, holding momentum and goodwill across long cycles and multiple veto-holding approvers. Establish the repeatable playbook the segment adopts: messaging, target-account strategy, and objection handling grounded in healthcare economics and provider risk. Partner with Product, Sales leadership, and Account Management, and build the feedback loop that turns market signal into roadmap and pricing change. Build full fluency across Garner's product suite and match the right product angle to each buyer. What we're looking for 8 or more years in fast paced selling environment carrying and consistently exceeding individual quote Experience owning a new-market motion end to end: building a segment from limited infrastructure and landing marquee logos Experience selling into into hospitals, health systems, or other healthcare provider organizations is preferred; if not, experience selling in other complex B2B SaaS environments A track record of closing through multi-stakeholder, committee-driven buying processes, where clinical, analytics, finance, legal, and administrative approvers each hold an effective veto. Command of the room with senior buyers up to the CEO: you build trust fast, go head to head on strategy, and secure buy-in for a high-consideration purchase. Data fluency built by repeatedly entering new or ambiguous markets and learning the methodology deeply. Repeatable plays for reviving stalled pipeline, applied across a book rather than one deal at a time. Comfort selling while product, pricing, and positioning are still evolving. The instinct to build an internal operating rhythm: who to pull in when, plus a feedback loop into product and pricing. A desire to do work that matters: and to be held to a high standard while doing it. You're energized by a mission with measurable outcomes, not just good intentions. You engage with AI tools as part of how you do your best work, and hold yourself accountable to outcomes that matter beyond your team’s metrics. What you’ll get here You’ll work on problems that matter, at a company working to change healthcare at scale. You’ll work at the intersection of AI and systemic healthcare reform, where the problems we solve are as interesting and compelling as the mission. At Garner, you’ll take on real, ambitious problems with real ownership and autonomy, alongside exceptional, principles-based people who genuinely want you to win. It’s demanding by design. You’ll be challenged to stretch beyond what you thought possible and receive consistent coaching to help you grow and do the best work of your career. This isn't the right fit for everyone, and that's intentional. The people here are driven by what's at stake for real people, and that's what gives our intensity its purpose. This is a unique opportunity to join a fast-growing company in a transformative role, helping shape the future of healthcare. Compensation Transparency: The total compensation range (inclusive of base and commission) for this position is $325,000 - $385,000. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k), Teladoc Health and more. Fraud and Security Notice: Please be aware of recent job scam attempts. Our recruiters use getgarner.com and garnerhealth.com email domains exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement here and to candidateprotection@garnerhealth.com . Equal Employment Opportunity: Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. 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. Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at talent@garnerhealth.com .

Location: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. WHOOP is seeking a Director of Global Trade Marketing to lead our global trade marketing organization and accelerate the growth and impact of WHOOP across our rapidly expanding retail footprint. This leader will oversee trade marketing teams across global markets, establishing the strategy, operating rhythms, and cross-functional alignment required to deliver exceptional retail experiences and drive consumer demand around the world. At the center of this role is the ability to build strong relationships and drive alignment across the organization. You will serve as a critical connector between our Trade Marketing teams and the broader WHOOP organization, partnering closely with Sales, Brand, Creative, Media, Product Marketing, Visual Merchandising, Operations, Analytics, and regional leadership to ensure our teams are positioned for success in market. You will develop a high-performing global team, bring clarity to priorities in a fast-moving environment, and translate the broader WHOOP brand and commercial strategy into locally relevant retail experiences that drive awareness, conversion, and sell-through. RESPONSIBILITIES: - Lead, develop, and inspire the global Trade Marketing organization, creating clear priorities, strong operating rhythms, and a culture of collaboration, accountability, and high performance. - Build strong cross-functional partnerships across WHOOP, aligning Brand, Creative, Media, Sales, Operations, Visual Merchandising, Product Marketing, Analytics, and regional stakeholders around retail priorities, launches, campaigns, and key commercial moments. Proactively identify dependencies, remove barriers, and ensure teams have the resources and organizational support needed to execute successfully. - Develop and own the global trade marketing strategy, translating company and brand priorities into scalable plans across retail media, digital and physical retail experiences, product launches, promotions, training, and key commercial moments. - Partner with Trade Marketing and Sales leaders across global markets to build strategic plans for priority retailers, ensuring marketing investment, creative, inventory, training, fixtures, and operational readiness come together to drive measurable awareness, traffic, conversion, and sell-through. - Establish a consistent global approach to planning, budgeting, measurement, and performance optimization, using retailer and consumer insights to prioritize investments, identify incremental growth opportunities, and continuously improve return on trade marketing spend. - Build scalable tools, processes, and ways of working that allow teams to move quickly while maintaining a consistent WHOOP experience globally, balancing global standards with the localization required to win with consumers and retail partners in individual markets. QUALIFICATIONS: - 10+ years of experience in global trade marketing, shopper marketing, retail marketing, omnichannel marketing, or a related discipline, including meaningful experience leading teams in a global or multi-market environment. - Proven people leader with experience building, developing, and empowering high-performing teams across global markets. - Exceptional relationship-building and influencing skills, with a demonstrated ability to bring together diverse cross-functional stakeholders, create alignment without relying solely on authority, and move complex initiatives forward. - Strong understanding of the global retail and omnichannel landscape, with experience developing marketing strategies that connect digital retail, physical retail, retail media, product launches, promotions, and brand activity. - Strategic and commercially minded, with the ability to translate company objectives into clear priorities for teams while remaining close enough to execution to identify barriers and unblock the organization. - Strong analytical and financial acumen, with experience managing significant marketing budgets, evaluating performance, and using consumer, retailer, and sales insights to make investment and prioritization decisions. - Comfortable operating in a fast-growing, highly cross-functional environment where priorities evolve quickly and success requires both building scalable processes and solving immediate business challenges. - Strong commitment to embracing and leveraging AI tools in day-to-day tasks, ensuring AI-assisted work aligns with the same high-quality standards as personal contributions. This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office. Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply. WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/to determine employment eligibility The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values. At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success. The U.S. base salary range for this full-time position is $155,000 - $195,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training. In addition to the base salary, the successful candidate will also receive benefits and a generous equity package. These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.

Location: San Francisco Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE This role sits at the applied end of our post-training research efforts. You will work directly with stakeholders from the world’s fastest-growing AI companies to post-train open-source models that outperform frontier closed models on their specialised tasks. Your day-to-day is finding creative ways to extract signal from complex, domain-specific datasets and building the reward functions, environments, eval harnesses, and training pipelines that turn that signal into better models. The models you train ship to production and reach millions of users. We are looking for people with hands-on LLM fine-tuning and RL experience. Researchers who are excited by the prospect of shipping models into production, who can translate a customer's domain-specific requirements into an effective training curriculum, and who know when to be rigorous and when to iterate fast. RECENT RESEARCH - Dense, on-policy or both? https://www.baseten.co/research/dense-on-policy-or-both/ - Repeated kv cache for long-running agents https://www.baseten.co/research/repeated-kv-cache-for-long-running-agents/ - Distillation without the dark – replicating black-box on-policy distillation on Baseten https://www.baseten.co/research/distillation-without-the-dark/ RESPONSIBILITIES - Design and run post-training pipelines: SFT, GRPO, DPO, RLVR, reward function engineering, and synthetic data generation. - Build task-specific training environments and evals tailored to customer domains like healthcare, code generation, and legal, spanning multi-turn tool use, sandboxed execution, and agentic workflows. - Work directly with customers to translate production data into training signal, designing reward loops from real usage patterns and handling distribution shift. - Run and analyze training experiments end-to-end: diagnose reward hacking, importance sampling drift, and advantage estimation instabilities. - Publish findings at top venues and contribute to Baseten's open-source training libraries. QUALIFICATIONS - Hands-on experience training LLMs with reinforcement learning — demonstrated understanding of GRPO or PPO beyond recipe-level reproduction, including group advantage computation, clipped objectives, and KL penalty design - Strong intuition for reward engineering: the ability to distinguish between a reward that trains effectively and one that will exploit at scale - Experience building multi-turn agent environments with tool use, not limited to single-turn question-answering setups - Comfort working across the full pipeline from dataset construction through training, evaluation, and deployment - Experience with production ML systems. Preference for candidates who have closed a training–inference loop where production data feeds back into model improvement PREFERRED QUALIFICATIONS - Experience with RL training frameworks - Publications at NeurIPS, ICML, ICLR, focused on RL for LLMs, reward modeling, or alignment BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).