Вакансии

Location: Remote-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA | 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 Every change to Anthropic's software has to reach production somehow: new code, runtime configuration, feature flags, infrastructure changes. Our team builds the systems those changes travel through. Our mission is to give every team at Anthropic a fast, safe, and predictable path from change to production. We sit within Anthropic's Infrastructure organization and own pipelines, staged rollouts, health-gated promotion, and rollback, along with runtime configuration, feature flags, and the systems that deliver code and artifacts to machines across a very large fleet. You'll own a meaningful part of this end to end, from design through operating it in production. If you want your work to shape how fast and how safely Anthropic ships, this could be a great fit. Key responsibilities Set technical direction for major parts of the deployment platform and own them end to end: design, implementation, and operations Build rollout safety into the platform, including progressive delivery, health-gated promotion, automatic pause and rollback, and deploy controls that teams manage themselves Design APIs and abstractions that work equally well for engineers and for AI agents Extend the platform to new workload types and runtimes, from Kubernetes to serverless and edge platforms Build and operate runtime configuration and feature flag systems with validation, gradual rollout, and fast rollback Build infrastructure-as-code workflows that many teams rely on for safe, routine changes Scale artifact distribution so code and configuration reach machines quickly and efficiently Partner with Security so that the path to production is secure by default, with verifiable builds, least-privilege access, and auditable changes Work directly with teams across Anthropic to understand their deployment needs and bring their workloads onto the platform Take part in on-call and incident response, and turn what you learn into guardrails that prevent the same problem from recurring Minimum qualifications Proficiency in at least one backend or systems programming language, such as Rust, Go, C++, or Java Experience leading the design, building, and operation of distributed systems or infrastructure in production, including technical direction across teams Experience with cloud infrastructure and containerized workloads, such as Kubernetes on AWS or GCP Strong written and verbal communication skills Preferred qualifications Experience building deployment, release, or change management systems at large scale Experience with production on-call and incident response Experience with Rust in production Experience with progressive delivery and GitOps tooling, such as Argo CD or Argo Rollouts Deep knowledge of Kubernetes, including controllers and operators Experience with Terraform or other infrastructure-as-code systems at scale, including state management and locking Experience building feature flag, experimentation, or dynamic configuration systems Experience with artifact or package distribution, such as OCI registries, Nix, or content-addressed storage Experience with software supply chain security, such as signed build provenance Experience building high-throughput workflow engines or control planes backed by relational databases Experience building internal developer platforms and leading adoption across many teams Experience using AI agents in your own engineering work, or building systems that agents operate Representative projects Build operator controls for progressive rollouts, including pause and resume that preserve rollout state Design a deployment engine built on fine-grained targets and their dependencies, so each change rolls out exactly where it needs to Build cluster-health-aware rollouts that steer around unhealthy clusters Add a new workload type to the platform, including its rollout, verification, and rollback behavior Design a deployment control plane that handles sharp bursts of agent-driven traffic Design a distribution system that delivers configuration and artifacts to every machine in the fleet as demand grows 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: $405,000 — $485,000 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: London, UK 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 The Anthropic Residency is our paid, fixed-term research program, with placements lasting between six weeks and six months. We are looking for people who have led ambitious work in a variety of technical fields and want to transition to full-time work focused on making sure AI systems are safe and beneficial for all of humanity. If you are a professor in a quantitative discipline, a technical founder or a staff-level engineer and want to transition to work on transformative AI, we want to hear from you. Background in machine learning is not required. What to expect A concrete, scoped project matched to your background, with direct mentorship from Anthropic researchers Access to Claude models and GPU compute Connection to the broader AI safety and security research community Interview process The interview process will include an initial application, recruiter screen, technical assessment, research discussion and a reference check. Applications for this round close on November 22, 2026 (11:59 PM PT). We expect to make offers in January 2027. You may be a good fit if you Are motivated by making sure AI is safe and beneficial for society as a whole Are excited to transition into working on empirical AI research full-time Have led ambitious work in a variety of technical fields (professor in a quantitative discipline, a technical founder or a staff-level engineer) Thrive in fast-paced, collaborative environments Can implement ideas quickly and communicate clearly Strong candidates may also Have experience authoring research papers in machine learning, NLP, or AI safety Have experience with LLMs, reinforcement learning or Kubernetes clusters and complex shared codebases Mentors and research areas Potential Anthropic mentors include: Sara Price : leads the Alignment Training team; background in data science Ethan Perez : leads the Alignment Science team; background in machine learning Evan Hubinger : leads the Alignment Stress-Testing team; formerly at The Machine Intelligence Research Institute (MIRI) Samuel Marks : leads the Scalable Oversight team; background in mathematics Elana Simon : researches the interpretability of language models and biological models; background in biomedical informatics Belinda Li : researches how language models represent the world, users, and themselves; background in natural language processing (PhD, MIT) Jack Lindsey : leads the Model Psychology team; background in theoretical neuroscience Nicholas Carlini : researches adversarial machine learning and AI security; previously at DeepMind and Google Brain Jascha Sohl-Dickstein : works at the intersection of safety and pretraining; background in physics and neuroscience, formerly Principal Scientist at Google Brain Residents will work on empirical research questions in collaboration with Anthropic's research teams. Areas we are particularly interested in include: AI safety & alignment Scalable Oversight: Developing techniques to keep highly capable models helpful and honest, even as they surpass human-level intelligence in various domains. Adversarial Robustness and AI Control: Creating methods to ensure advanced AI systems remain safe and harmless in unfamiliar or adversarial scenarios. Model Organisms: Creating model organisms of misalignment to improve our empirical understanding of how alignment failures might arise. Model Internals and Interpretability: Advancing our understanding of the internal workings of large language models to enable more targeted interventions and safety measures. Safeguards Research: Developing robust defenses against adversarial attacks, comprehensive evaluation frameworks for model safety, and automated systems to detect and mitigate potential risks before deployment. AI Welfare: Improving our understanding of potential AI welfare and developing related evaluations and mitigations. AI security & frontier red-teaming Stress-testing frontier models to understand the full extent of their current capabilities in fields such as cybersecurity, robotics or cryptography. ML systems & reinforcement learning Improving how frontier models are trained and building the infrastructure behind that research, from model architecture, optimizers and training data to accelerator simulators, hardware backends and RL environment pipelines. For a fuller picture of the questions we care about, see our Recommendations for Technical AI Safety Research Directions and recent publications from our Alignment , Interpretability and Frontier Red teams. Logistics Duration: Placements are six weeks, three months or six months, depending on team fit and candidate preferences. Other lengths between three and six months are possible by exception. Location: This application is for a remote UK position, with the option to work from our London office. However, we prefer that Residents work from our San Francisco office, where most of our research staff is based, but remote participation is possible, especially for shorter placements. Most full-time research roles at Anthropic require relocation to San Francisco. Remote participants need to be based in a country where Anthropic can hire. Commitment: Full-time role for the duration of the residency. Compensation: £265,000 to £375,000/year pro-rated for the duration of the residency + benefits Visa sponsorship: We sponsor visas for placements of three months or longer. For six-week placements we encourage remote participation from a country where Anthropic can hire. Applicants may also be considered for the Anthropic Fellows Program . 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: £265,000 — £375,000 GBP 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, 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 The Anthropic Residency is our paid, fixed-term research program, with placements lasting between six weeks and six months. We are looking for people who have led ambitious work in a variety of technical fields and want to transition to full-time work focused on making sure AI systems are safe and beneficial for all of humanity. If you are a professor in a quantitative discipline, a technical founder or a staff-level engineer and want to transition to work on transformative AI, we want to hear from you. Background in machine learning is not required. What to expect A concrete, scoped project matched to your background, with direct mentorship from Anthropic researchers Access to Claude models and GPU compute Connection to the broader AI safety and security research community Interview process The interview process will include an initial application, recruiter screen, technical assessment, research discussion and a reference check. Applications for this round close on November 22, 2026 (11:59 PM PT). We expect to make offers in January 2027. You may be a good fit if you Are motivated by making sure AI is safe and beneficial for society as a whole Are excited to transition into working on empirical AI research full-time Have led ambitious work in a variety of technical fields (professor in a quantitative discipline, a technical founder or a staff-level engineer) Thrive in fast-paced, collaborative environments Can implement ideas quickly and communicate clearly Strong candidates may also Have experience authoring research papers in machine learning, NLP, or AI safety Have experience with LLMs, reinforcement learning or Kubernetes clusters and complex shared codebases Mentors and research areas Potential Anthropic mentors include: Sara Price : leads the Alignment Training team; background in data science Ethan Perez : leads the Alignment Science team; background in machine learning Evan Hubinger : leads the Alignment Stress-Testing team; formerly at The Machine Intelligence Research Institute (MIRI) Samuel Marks : leads the Scalable Oversight team; background in mathematics Elana Simon : researches the interpretability of language models and biological models; background in biomedical informatics Belinda Li : researches how language models represent the world, users, and themselves; background in natural language processing (PhD, MIT) Jack Lindsey : leads the Model Psychology team; background in theoretical neuroscience Nicholas Carlini : researches adversarial machine learning and AI security; previously at DeepMind and Google Brain Jascha Sohl-Dickstein : works at the intersection of safety and pretraining; background in physics and neuroscience, formerly Principal Scientist at Google Brain Residents will work on empirical research questions in collaboration with Anthropic's research teams. Areas we are particularly interested in include: AI safety & alignment Scalable Oversight: Developing techniques to keep highly capable models helpful and honest, even as they surpass human-level intelligence in various domains. Adversarial Robustness and AI Control: Creating methods to ensure advanced AI systems remain safe and harmless in unfamiliar or adversarial scenarios. Model Organisms: Creating model organisms of misalignment to improve our empirical understanding of how alignment failures might arise. Model Internals and Interpretability: Advancing our understanding of the internal workings of large language models to enable more targeted interventions and safety measures. Safeguards Research: Developing robust defenses against adversarial attacks, comprehensive evaluation frameworks for model safety, and automated systems to detect and mitigate potential risks before deployment. AI Welfare: Improving our understanding of potential AI welfare and developing related evaluations and mitigations. AI security & frontier red-teaming Stress-testing frontier models to understand the full extent of their current capabilities in fields such as cybersecurity, robotics or cryptography. ML systems & reinforcement learning Improving how frontier models are trained and building the infrastructure behind that research, from model architecture, optimizers and training data to accelerator simulators, hardware backends and RL environment pipelines. For a fuller picture of the questions we care about, see our Recommendations for Technical AI Safety Research Directions and recent publications from our Alignment , Interpretability and Frontier Red teams. Logistics Duration: Placements are six weeks, three months or six months, depending on team fit and candidate preferences. Other lengths between three and six months are possible by exception. Location: We prefer that Residents work from our San Francisco office, where most of our research staff is based, but remote participation is possible, especially for shorter placements. Most full-time research roles at Anthropic require relocation to San Francisco. Remote participants need to be based in a country where Anthropic can hire. Commitment: Full-time role for the duration of the residency. Compensation: $350,000 to $500,000/year pro-rated for the duration of the residency + benefits Visa sponsorship: We sponsor visas for placements of three months or longer. For six-week placements we encourage remote participation from a country where Anthropic can hire. Applicants may also be considered for the Anthropic Fellows Program . 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: $350,000 — $500,000 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, Poland; Remote, United Kingdom GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As Engineering Manager, Architecture Engineering: Async, you'll lead a distributed group of Site Reliability Engineers and Backend Engineers. You'll support their development and balance production reliability with platform projects, including zero-downtime Redis upgrades, support for single-tenant and cell-based deployments, and the move from queue-based job orchestration to a durable workflow engine. What you'll do Lead, hire, and grow a team of site reliability engineers and backend engineers, supporting career development, promotions, and onboarding. Own reliability for the job processing and caching platforms, including service-level objectives, error budgets, alerting, and weekly operational reviews. Manage capacity planning, support escalations, and incident follow-ups, balancing operational work with roadmap projects and rescoping work when deadlines can't be met. Run the team's part of GitLab.com's first-tier on-call rotation, including shift coverage, onboarding, and handovers, and serve as incident commander for high-severity incidents. Drive zero-downtime Redis version upgrades and automate operating system patching and reboots. Adapt job processing to run in single-tenant and cell-based deployments. Own the migration from queue-based job orchestration to a durable workflow engine, defining the first use cases, a measurable migration path, and the roadmap. Own quarterly planning and the team roadmap, and clarify shared operational responsibilities with partner teams, including Git storage. What you'll bring Experience managing an engineering team delivering high-performance services at scale, ideally site reliability engineers or infrastructure engineers running production software as a service systems. Technical depth in background job processing and caching technologies such as Redis and Sidekiq, sufficient to guide decisions about upgrades, capacity, and failure modes. Experience managing reliability against service-level objectives, including defining service-level indicators, setting up burn-rate alerting, and planning capacity. Experience running a 24/7 on-call rotation and coordinating high-severity incidents. A track record of balancing operational work and incident follow-ups with roadmap projects, and pushing back on scope when deadlines can't be met. Experience leading a fully remote team across time zones in the Americas, Europe, the Middle East, Africa, and Asia-Pacific. About the team The Async team runs GitLab.com's background processing layer, from the Sidekiq infrastructure to the shared code that enqueues jobs. Product teams build the jobs; we keep the platform that runs them fast and reliable. Our Redis clusters support caching, sessions, rate limiting, queues, and shared state. We also support data durability through backup and restore verification, object storage, and operational support for Git repository storage. That work includes restore drills, capacity rebalancing, and provisioning. We staff GitLab.com's first-tier production on-call rotation in 8-hour shifts across the Americas, Europe, the Middle East, Africa, and Asia-Pacific, triaging every paging alert and bringing in the right team when needed. How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: London, England, United Kingdom 500M+ downloads. 80M+ monthly users. A decade of building – and we’re still accelerating. Flo is the world’s #1 health & fitness app worldwide on a mission to build a better future for female health. Backed by a $200M investment led by General Atlantic, we became the first product of our kind to reach a $1B valuation in 2024 – and we’re not slowing down. With 7M paid subscribers and the highest-rated experience in the App Store’s health category, we’ve spent 10 years earning trust at scale. Now, we’re building the next generation of digital health – AI-powered, privacy-first, clinically backed – to help our users know their body better. The job Principal Infrastructure Engineer More than 80 million women open Flo every month to understand their bodies and their health. Every one of those sessions runs on infrastructure we build, and the data behind it is as personal as data gets. Keeping that fast and private at this scale is the job. Velocity runs the platform that every Flo engineer builds on: Kubernetes on AWS, the data stores behind our services, and the golden paths that let product teams ship without needing to be infrastructure experts. We treat our internal developers as our customers. You will: Own the foundations: Design and run the Kubernetes and data infrastructure behind 80 million monthly active users, and make it boring in the best sense. Turn expertise into self-service: Take what you know about running clusters and databases well, and build it into the defaults so product teams get it for free. What You Will Do Kubernetes at scale: Architect and evolve our EKS estate: cluster lifecycle and upgrades, networking, autoscaling, workload isolation, and the Helm and Terraform that deploy onto it. Data infrastructure: Shape how our services use PostgreSQL, DynamoDB and Kafka. Set the patterns for provisioning, access, backup, failover and capacity, so teams aren't solving these problems one service at a time. Golden paths: Build self-service tooling and Terraform modules that give product teams autonomy without sacrificing stability or security. Reliability: Lead resilience work, including business continuity planning, disaster recovery testing and a sustainable on-call rotation. Privacy at scale: Support the infrastructure behind privacy features such as our TIME-recognised "Anonymous Mode", and keep us SOC2, ISO 27001 and ISO 27701 certified while handling some of the most sensitive data there is. Observability: Make sure metrics, logs and traces tell us something is wrong before our users do. What You Bring Experience: Many years in infrastructure, platform, SRE or DevOps roles running high-traffic, distributed systems in production. You have operated at Principal or Staff scope, setting direction across teams as well as delivering. Kubernetes depth: You have run Kubernetes in production for real workloads, ideally EKS. You can explain what happens between kubectl apply and a pod serving traffic, and you have debugged it when it didn't. Data infrastructure awareness: You understand how PostgreSQL, DynamoDB and Kafka behave under load and when they fail: connection limits, replication lag, hot partitions, consumer lag, retention. You don't need to have been a DBA, but you know what good looks like and when to ask for help. AWS and infrastructure as code: Strong AWS knowledge and fluent Terraform. Coding experience in Go or Python is a plus. Communication: A doc-first habit, and the ability to bring distributed product teams with you. AI first: you will have seen the impact AI automation is having on development teams and the software delivery lifecycle, and have strong ideas on how infrastructure should support it. Bonus Points Hardening infrastructure for high-compliance or security-sensitive environments (HIPAA, SOC 2, PCI). Running managed data services in AWS (RDS, Aurora, MSK, DynamoDB) at scale, including migrations and major version upgrades. Scaling consumer platforms with millions of concurrent users. Certifications such as AWS Certified Solutions Architect Professional, CKA or CKS. Why Join Flo? High impact: Flo is used by 1 in 4 women aged 18–44 in the US, and has raised $200M to build what comes next. Autonomy: We hire experts and trust them to deliver. Modern stack at scale: EKS, Terraform, Kafka, PostgreSQL, DynamoDB and Sentry, serving more than 80 million people a month. Annual Salary Range (ranges may vary based on skills and experience) £130,000 — £150,000 GBP How we work We’re a mission-led, product-driven team. We move fast, stay focused and take ownership – from brief to build to impact. Debate is encouraged. Decisions are shared. We care about craft, ship with purpose, and always raise the bar. You’ll be working with people who take their work seriously, not themselves. It takes commitment, resilience, and the drive to keep going when things get tough. Because better health outcomes are worth it. What you'll get We support impact with meaningful reward. Here’s what that looks like: Competitive salary and annual reviews Opportunity to participate in Flo’s performance incentive scheme Paid holiday, sick leave, and female health leave Enhanced parental leave and pay for maternity, paternity, same-sex and adoptive parents Accelerated professional growth through world-changing work and learning support In-person collaboration and work in a hybrid model, with 3 days per week spent in the office 5-week fully paid sabbatical at 5-year Floversary Flo Premium for friends & family, plus more health, pension and wellbeing perks Diversity, equity and inclusion Our strength is in our differences. At Flo, hiring is based on merit, skill and what you bring to the role – nothing else. We’re proud to be an equal opportunity employer, and we welcome applicants from all backgrounds, communities and identities. Read our privacy notice for job applicants .

Location: Copenhagen, Denmark About Wolt At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we’re building the delivery of (almost) everything and you’ll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe. Working at Wolt isn’t always easy, but it’s definitely exciting. Here you’ll learn more, build more, and ship more than in most other companies. You’ll be challenged a lot, but also have a lot of fun on the way. So, if you’re a self-starter with drive and entrepreneurial spirit, this could be the ride of your life. Wolt is on a growth journey as part of the DoorDash family, together with Deliveroo. Retail is one of our biggest growth opportunities: supermarkets, convenience chains, pharmacies, and specialty and department stores that want to reach customers through our Marketplace. These partners have different needs from restaurants, with larger catalogues, more complex integrations and longer, more structured sales cycles. This brings us to you, our next Head of Enterprise Retail Sales for Scandinavia. You’ll lead retail acquisition across Denmark, Sweden, Norway and Iceland and own the new partner targets for your cluster. You’ll manage a team sales professionals and turn regional commercial direction into disciplined country-level execution. You’ll work closely with Account Management, Operations, Marketing and the Regional Commercial teams, and you’ll be part of the regional Retail sales leadership. What you’ll be doing Own new Enterprise retail partner acquisition targets across your countries, and drive consistent delivery against monthly and quarterly goals. Translate regional commercial strategy into clear country-level execution plans. Lead, coach and develop a team of sales professionals: set clear targets, run regular pipeline reviews and check-ins, and support hiring and onboarding. Oversee the sales process end to end, from prospecting to signed agreement. Help the team build structured, data-driven value propositions, and join negotiations on larger or more complex deals. Make sure commercial terms follow our profitability and pricing guardrails, and build a high-quality partner portfolio aligned with long-term growth. Monitor pipeline health, conversion rates and forecast accuracy, and keep CRM usage and reporting standards high. Partner with Account Management for smooth handovers, with Operations for strong onboarding and launch readiness, and with Marketing on local acquisition campaigns and partner launches. Align on basic retail standards with local SMB sales teams where needed. Share best practices across markets, spot performance gaps and fix them, and keep improving win rates, sales cycle efficiency and acquisition quality. Give Regional Sales and Commercial teams structured feedback on market dynamics and the competitive landscape. Our humble expectations At least 7 years of experience in B2B sales or business development, ideally in retail, marketplace, FMCG or technology environments. At least 3 years of direct people management experience. A proven track record of delivering acquisition targets and closing commercial deals. Strong commercial acumen and structured negotiation skills. Strong analytical skills, and experience using CRM systems and BI tools to steer performance. The ability to balance hands-on selling with team leadership. Fluency in English. Proficiency in Nordic languages is strongly beneficial. Seen as a strong advantage: Experience managing performance across multiple markets or territories. What’s in it for you 🚀 Fast-growing: Join a high-growth business at a moment when retail is a top priority 🛒 A team and a number to own: Lead your own sales team and be accountable for retail growth across your cluster 🤩 Ride of a lifetime: Accelerate your career with access to DoorDash’s global experience and room to grow as retail scales 💪 Instant impact: Take ownership and make a difference 💙 Big hearts and small egos: Surround yourself with smart, friendly people Next steps If you are excited about working in a high-growth environment, taking ownership, and being part of an extremely ambitious team, then click below to apply, make sure to add your CV in English and get the conversation going! We will be reviewing applications on a rolling basis. [Location: Denmark, Sweden, or Norway. The role covers four countries, so expect regular travel to country teams and regional stakeholders.] Our Commitment to Diversity and Inclusion We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel. Beware of recruitment scams: DoorDash, Deliveroo, and Wolt will never ask you to pay money or share sensitive financial information during hiring — learn more about our legitimate recruiting process at Recruitment Scam Awareness - DoorDash .

Location: Lisbon, Portugal About the Role The Site Reliability Engineering team at iCapital is fundamental to ensuring our platform delivers consistent, reliable service to our client base. Our services run on Kubernetes in AWS, and this role focuses on keeping them healthy in production. We're looking for the hands-on engineer others turn to when production is broken and the cause isn't obvious. You'll troubleshoot across the full stack (the application, its containers, Kubernetes, and the underlying cloud infrastructure) and turn what you learn into lasting improvements: stronger reliability standards, safer rollouts, sharper alerts, and automation that prevents repeat failures. You'll rely on metrics, logs, and traces every day, but the heart of this role is diagnosing and fixing what they reveal. Responsibilities Act as a senior escalation point for complex production issues in Kubernetes-based services, leading hands-on investigation across application, container, Kubernetes, and AWS layers through to root cause. Partner with the teams that own our cluster infrastructure to resolve platform-level issues, and feed what you learn back into reliability standards and improvements. Define and implement reliability and operability standards for Kubernetes-based services, including resource sizing, health checks, scaling patterns, rollout safety, and baseline monitoring, as part of service onboarding. Serve as Incident Commander or senior technical lead for high-severity incidents, lead postmortems, and drive systemic improvements through action items and measurable follow-through. Turn recurring investigations into runbooks, diagnostic tooling, and automated remediation that shorten time to resolution and eliminate toil. Coach engineers in systematic troubleshooting and Kubernetes best practices through reviews, game days, and knowledge sharing. Define, implement, and iterate service level objectives (SLOs) and service level indicators (SLIs) that reflect customer and business expectations. Standardize monitoring and alerting through “monitors as code” (Terraform preferred), including quality gates such as severity, ownership, and runbook links. Operate and tune OpenTelemetry pipelines, including sanitizing data, managing cardinality, and enriching telemetry with consistent fields. Maintain the infrastructure behind our monitoring stack, including Helm charts, ArgoCD ApplicationSets, Kinesis streams, Lambda functions, and Prometheus. Participate in on-call rotations with a focus on improving reliability, reducing alert noise, and increasing signal quality over time. What You'll Need (Must-Haves) 5+ years in SRE or related roles, with evidence of technical seniority across multiple services and teams. 3+ years of hands-on experience running and troubleshooting production workloads on Kubernetes, with a deep understanding of how Kubernetes schedules, connects, scales, and rolls out workloads. Proven ability to independently diagnose complex failures in distributed systems running on Kubernetes, spanning application, configuration, resource, networking, and scaling issues, including cases where the root cause wasn't obvious. Strong Linux and networking fundamentals, with the ability to troubleshoot below the container layer. Strong production experience with AWS, including how cloud networking and access controls affect workloads running in Kubernetes. Strong incident response skills, including leading retrospectives/postmortems and following through on systemic fixes. Strong IaC skills (Terraform preferred), with examples of reusable modules, monitors-as-code patterns, or similar standardization work, and the coding ability to build automation and diagnostic tooling. Track record of defining SLOs/SLIs and using an observability stack (such as Prometheus/Grafana, New Relic, Splunk, or similar) to drive decisions and find root causes quickly. Clear written and verbal communication, with the ability to influence engineering teams through standards, tooling, and practical guidance. Nice to Have Kubernetes certification (CKA or CKS) or equivalent depth. Experience improving rollout safety and autoscaling behavior for Kubernetes workloads. Familiarity with common data stores (Postgres, MongoDB, DynamoDB) and how they fail in distributed systems. OpenTelemetry instrumentation experience at scale. We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office four days, with the flexibility to work remotely one day (Friday). Benefits iCapital offers a comprehensive benefits package that includes a total compensation program consisting of competitive salary, annual performance bonus, and equity for all full-time employees; healthcare with 100% employer-paid health and dental insurance; and generous paid time off (PTO). For additional information on iCapital Network, please visit https://www.icapitalnetwork.com/about-us Twitter: @icapitalnetwork | LinkedIn: https://www.linkedin.com/company/icapital-network-inc

Location: Paris, France Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. Why Deliveroo (part of DoorDash) Deliveroo, part of the DoorDash group, is building the leading local commerce platform, connecting consumers, merchants, and couriers in real time. Paris is one of our most strategic and complex markets globally, with unmatched density, brand concentration, and competitive intensity. As we move towards our 2026 ambition , we are evolving our commercial organisation to match the scale and sophistication required to win in Paris. This includes increased seniority, clearer regional ownership, and stronger execution across Inner and Outer Paris. The Senior Client Partner – Paris Inner Ouest role is a newly strengthened position, designed to combine strategic partner leadership, regional ownership, and organisation building . The Role As a Senior Client Partner, you'll lead a team of Account Management Lead, Senior Account Manager and Account Manager and you will report to the Regional Director of Paris, part of the Commercial team. The position is based in Paris. You are accountable for the growth and performance of strategic brand portfolios across one of Paris’ most critical zones. You will act as the senior commercial owner for your territory, ensuring alignment between Paris-wide strategy and local execution. Beyond partner management, this role plays a central part in aligning the organisation to business challenges and ambitions . You will design, lead, and continuously evolve the account management setup to ensure the right level of seniority, coverage, and execution quality across the territory. This is a senior leadership role with direct impact on revenue, partner satisfaction, and team development. Key Responsibilities 1. Lead Commercial Strategy & Execution Excellence Own the end-to-end growth of brand portfolios within your Paris Inner cluster Ensure 5★ account management standards across the team, with clear portfolio sizing Build and maintain relationships with senior and C-level stakeholders Lead contract negotiations, renewals, and upsell strategies Create and execute joint business plans addressing partner growth, profitability, and operational performance Act as a trusted advisor, providing insights on Deliveroo capabilities, competitors, and market trends Responsible for a commercial initiative for Paris : engage team, drive performance and proactively adjust structure, focus, or processes 2. Regional & Portfolio Ownership Own a zone cluster, defining and executing the strategy to win Translate Paris-wide and national priorities into clear, actionable regional strategies Improve Client Value Proposition (CVP) across the territory in collaboration with other commercial departments 3. Talent Development & Succession Lead and develop a team of up to 10 AMs / SAMs, either directly or through mid-management Coach and mentor high-potential talent, building a strong internal succession pipeline 4. Cross-Functional Leadership Partner closely with Operations, Marketing, Product, Strategy, and Finance Represent your portfolio and organisation in Paris and France leadership forums Influence roadmap and prioritisation through structured partner and market feedback What We’re Looking For Experience 10+ years in commercial, client partnership, or account management roles Proven experience managing complex, strategic brand portfolios Demonstrated success leading multi-layered teams in fast-paced environments Experience in F&B, Hospitality, Retail, FMCG, or Marketplace businesses preferred Strong commercial and financial acumen (P&L understanding) Excellent negotiation and stakeholder management skills Ability to design and scale organisations and coverage models Data-driven, structured, and execution-focused Senior, credible, and resilient leader High ownership mindset with a bias for action Comfortable navigating ambiguity and driving change Passionate about people development and raising standards Life at Deliveroo At Deliveroo, you’ll work on some of the most complex and impactful challenges in local commerce. We move fast, value ownership, and believe that strong teams build great outcomes. This role offers significant scope, visibility, and influence in shaping how Deliveroo wins in Paris. Diversity, Equity and Inclusion At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong. We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief. If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience. If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you! Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at careersatdoordash.com/recruitment-scam-awareness .

• Администрировать Linux-серверы и виртуальную инфраструктуру Proxmox VE. • Работать с сетью и pfSense: firewall, NAT, routing, VLAN, VPN.

Location: Москва Workplace: Гибридный О компании Мы развиваем платформу мониторинга для ПАО МТС и нам нужен эксперт, который будет развивать алгоритмы root cause analysis, корреляции аварий и поиска аномалий. Обязанности разрабатывать алгоритмы RCA – строить и внедрять методы корневого анализа причин (Root‑Cause Analysis) для аварийных сообщений и инцидентов; создавать алгоритмы корреляции событий, связывать события по времени, топологии сети, ресурсно‑сервисной модели, типу отказа и зависимостям между объектами; строить causal‑graph модели, формировать причинно‑следственные графы, использующие топологию сети и модели ресурсов/услуг для автоматического выделения первопричины; разрабатывать методы группировки аварий в инциденты, кластеризация/агрегация связанных тревог в единый инцидент; реализовывать детекторы аномалий и деградаций, выявлять отклонения в потоках событий, метриках и состоянии объектов, которые не покрываются статическими правилами; определять метрики качества и осуществлять шумоподавление, формирование KPI (precision/recall, false‑positive/false‑negative, уровень шумности тревог) и постоянное снижение дублирования и ложных срабатываний; прототипировать и выводить решения в production, быстро прототипировать, тестировать и совместно работать с командой платформенных разработчиков для внедрения алгоритмов в рабочее окружение. Требования сильная база в алгоритмах, математике, статистике, data science или machine learning; опыт работы с временными рядами, event streams, anomaly detection или correlation algorithms и понимание графовых моделей, деревьев зависимостей, причинно-следственных связей или topology-aware algorithms; опыт анализа больших объемов событийных данных; умение строить expl ai nable algorithms: система должна объяснять, почему конкретное событие выбрано как вероятная первопричина; опыт разработки на Python ; опыт с Kafka , Spark/Flink, ClickHouse , SQL БД, графовыми БД; cпособность быстро разбираться в предметной области и формализовать экспертные знания эксплуатации в алгоритмы. Условия БУДЕТ ПЛЮСОМ опыт в телекоме, мониторинге, NOC/SOC, эксплуатации сетей или инфраструктуры; опыт работы с аварийными событиями, инцидентами, ITSM-системами; знание методов causal inference, Bayesian networks, graph algorithms, clustering, sequence mining; понимание сетевой топологии, мобильной сети, транспортной сети, EMS/NMS-систем; опыт построения систем intelligent alerting, event correlation, AI Ops.

Location: San Francisco; Remote (United States); Seattle; New York City Perplexity serves hundreds of millions of queries a month. Every answer, every Perplexity Computer task, and every enterprise deployment runs on production infrastructure owned by the Cloud Infrastructure team: a fleet of Kubernetes clusters across a multi-account AWS estate, private networks that reach hyperscalers and the neoclouds serving our models, and the storage underneath our user data and agentic workloads. We're looking for SREs who treat reliability as a software problem. You'll own compute, networking, and storage at scale and keep production stable while everything built on top of it is changing fast. RESPONSIBILITIES - Own production at scale. Run the compute, networking, and storage foundation behind Perplexity's consumer, Computer, API, and enterprise products, and own its availability, latency, and cost. - Run our Kubernetes fleet. Operate and upgrade the EKS clusters that host web services, search, datastores, and secure sandboxes. Tune scheduling, autoscaling, node lifecycle, DNS, and service networking so clusters stay healthy under bursty, fast-growing load. - Engineer the network. Design and operate VPC architectures, Transit Gateway and PrivateLink connectivity, load balancing, DNS, and egress across accounts, regions, and cloud providers. - Keep data durable and fast. Own the storage layer (EBS, S3, DynamoDB, and the managed databases and caches our services depend on), including performance, durability, backups, and restores that have actually been tested. - Manage everything as code. Run infrastructure through Terraform and CI/CD. Build reusable modules and guardrails, and make every change reviewable, repeatable, and safe to roll back. - Prepare for failures. Define SLOs, build alerts that someone can act on, design for zone and regional failure, and run game days and disaster-recovery exercises that prove recovery works. - Lead incident response. Be on the critical path when things break. Drive incidents to resolution, write blameless postmortems, and land the fixes so the same failure never pages anyone twice. - Scale ahead of demand. Own capacity planning, quotas, reservations, and cost efficiency so product launches and traffic spikes never wait on infrastructure. - Automate away the toil. Build tooling, increasingly agent-driven, that turns provisioning, upgrades, and remediation into self-serve, hands-off workflows for every engineering team. QUALIFICATIONS We expect you to have real depth in most of these: - Deep AWS expertise. You know VPC, IAM, EC2, EKS, ELB, Route 53, S3, EBS, etc. well past the console, including their limits, failure modes, and the bill that comes with them. - Production Kubernetes at scale: cluster upgrades, CNI, CoreDNS, autoscalers like Karpenter, and debugging a misbehaving node at 3 a.m. Writing Helm charts alone doesn't count. - Terraform mastery. You've designed module structures, managed state across many accounts, and run large refactors and imports without taking production down. - Strong networking fundamentals (TCP/IP, DNS, TLS, load balancing, routing). - You write real code in Python, Go, or Rust for automation, tooling, and controllers, and you'd rather automate a runbook than follow it. - Fluency with observability tools like Datadog, Prometheus, or Grafana, and the judgment to turn metrics, logs, and traces into SLOs and alerts that matter. - A track record of leading production incidents and turning root-cause analysis into durable fixes. - You own problems end-to-end and do well when the path forward isn't laid out for you. ADDITIONAL EXPERIENCE WE VALUE - Multi-region active-active or failover architectures, and disaster-recovery programs with real recovery targets. - Proxies, service meshes, and kernel-level networking: Envoy, Istio, Cilium, or eBPF. - GitOps and progressive delivery: Argo CD, Flux, or similar. - Enterprise and compliance environments: single-tenant or BYOC deployments, KMS/BYOK, SOC 2 or similar controls. - Running stateful systems in production: Postgres, Redis, or search engines like Vespa or Elasticsearch. - Multi-cloud or neocloud operations (GCP, CoreWeave, or similar). - FinOps: cost attribution, Savings Plans and reservations, and making infrastructure cheaper without making it fragile.

Location: Remote - United States Workplace: Remote Qdrant is an open-source vector search engine powering the next generation of AI applications, from semantic search and retrieval-augmented generation (RAG) to AI agents and real-time recommendations. Trusted by global leaders like Canva, HubSpot, Tripadvisor, Bosch, and Deutsche Telekom, we’re building the retrieval infrastructure layer for modern AI. Recently raising $50M in Series B funding, we are growing rapidly and committed to transforming how AI understands and interacts with data. As a remote-first company, we believe diverse backgrounds, perspectives, and experiences fuel innovation. Here, you’ll own meaningful work, tackle challenges, and grow alongside passionate individuals dedicated to shaping the future of AI. THE TEAM AND YOUR IMPACT As a Senior Product Marketing Manager, you'll join our Product Marketing team and report to our Director of Product Marketing, working day to day with DevRel, Growth, Sales, Partnerships, and Product. Most of our customers find Qdrant before we find them. An engineer runs the open-source engine, spins up a free Qdrant Cloud cluster, and ships a prototype. Your job is to make sure that story ends in a production deployment and a commercial relationship. You'll own how Qdrant is positioned at every step of that path: the docs page, the moment a team upgrades to a paid Cloud cluster, and the enterprise deal where we compete against known competitors. More and more of that research now happens inside AI chats and coding agents, so the messaging and tools you build have to hold up there as well as on a sales call. WHAT YOU WILL OWN - The messaging for our self-serve to sales path: what a developer hears while evaluating Qdrant, what changes when they upgrade to a paid Cloud cluster, and what their engineering leader hears when the team brings us in. - Buyer scenarios for our main entry points, such as moving a self-hosted cluster to Qdrant Cloud, replacing a legacy keyword search engine, or adding retrieval to an AI agent. Each one ships as messaging, a proof point, and an asset that Sales and Growth can use the same week. - Our competitive program: comparisons, battlecards, and objection handling that stay current with every release, with each claim backed by a benchmark, a customer, or a working demo. - A win and loss program you design and run yourself, interviewing customers and account executives, and turning what you learn into changed messaging, pricing page copy, and product feedback. - The AI workflows that scale your work: Claude skills that let account executives and solutions engineers pull the right talk track, comparison, messaging, or case study without waiting for you, and a research loop that turns call notes and interviews into updated assets. - Launch messaging for Qdrant releases with Product, DevRel, and Growth, so every feature reaches developers through docs and community, and reaches buyers through sales. WHO YOU ARE - You have 6+ years in product marketing, with at least 4 of them on a developer-facing or data infrastructure product: databases, search, APIs, cloud infrastructure, or AI and ML tooling. - You've owned product marketing for an enterprise-led sales motion, ideally in an open source product company. You have shaped activation and upgrade, and built the handoff into a sales-assisted deal. You can name the metrics you moved. - You've spent time at a start up or scale-up, where you owned a product marketing area end to end without a playbook or a team behind you. - You've built sales enablement that changed how a team sold, and you're comfortable on customer calls and in front of account executives. - You're technical enough to earn an engineer's trust: you can run a quick start, read a code sample, and explain the trade offs between keyword, vector, and hybrid search without notes. - You built AI tools that other people rely on, with the judgment and taste to spot when the output is wrong or not concise. NICE TO HAVE - You've worked alongside a DevRel team and know where product marketing ends and developer advocacy begins. - Experience with partner and cloud marketplace marketing (AWS, Google Cloud, or Azure). WHY JOIN US - A remote-first, international team working on cutting-edge AI infrastructure. - A competitive salary with additional perks. - Flexible working hours and async-friendly culture. - High ownership and real impact. - Open-source, engineering-driven culture. - Choose your own laptop equipment. For US-based full-time employees, we also offer a comprehensive benefits package including 401k match, health, dental, and vision insurance, plus flexible PTO policy. Qdrant is an equal-opportunity employer. We believe the best ideas come from diverse teams, and we actively welcome applicants from all backgrounds. If this role excites you but you don't check every single box, we'd still love to hear from you! We don't want to miss out on great people because of a checklist. Come build with us! FOR INFORMATION ON HOW WE HANDLE YOUR PERSONAL DATA, PLEASE REFER TO OUR RECRUITMENT PRIVACY POLICY https://qdrant.tech/legal/recruitment-privacy-policy/ #LI-REMOTE

Location: London Workplace: OnSite Company Description We’re http://checkout.comCheckout.com http://Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day. We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers. Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale. If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact. With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started. The Role Every payment we process runs on infrastructure we built. At Checkout.com http://Checkout.com, the Cloud Platform team owns the cloud foundations that global payments depend on: a large multi-account AWS estate, a growing Azure platform, and the networking and connectivity that reaches card schemes and banks worldwide. We are genuinely multi-cloud, and we are looking for a Senior Cloud Engineer who is too - a strong generalist who treats infrastructure as a software problem and can deliver from week one. This is a hands-on senior role in an established, fast-moving team. Everything we run is defined in code, deployed through pipelines, and reviewed like software. You will bring deep cloud expertise across AWS and Azure and pair it with a genuine software engineering mindset: you write Terraform modules others build on, you automate away toil rather than documenting it, and you treat the platform as a product with users, SLOs, and a roadmap. As a Senior Cloud Engineer, you are responsible for the technical delivery of your team's services. You will work closely with your Engineering Manager to shape direction, manage dependencies across pillars, and ensure our platform meets the standards a regulated payments business demands. What we are looking for: Deep AWS expertise: Advanced, hands-on experience designing and operating production infrastructure in AWS at enterprise scale: multi-account architectures (Control Tower, Organizations, SCPs), IAM, KMS, and the core compute, storage, and security services that a large regulated estate runs on. You should have a proven track record of delivering resilient, multi-region architectures. Azure experience: Real production experience with Azure alongside AWS: landing zones, VNet architectures, Entra ID, and the Azure resource and governance model. You understand where the two clouds differ and can design well for both rather than forcing one cloud's patterns onto the other. Software engineering mindset: You treat infrastructure as software. Expert-level Terraform: reusable modules, secure state management, and disciplined code review. You are comfortable in a Git-based workflow with CI/CD (we use Spacelift), and you reach for Python or similar to automate what others would handle with a runbook. No ClickOps. Strong cloud networking: Confident designing and debugging in a complex network estate: VPC and VNet design, hub-and-spoke and Transit Gateway or Cloud WAN architectures, DNS, private connectivity (PrivateLink, Private Link), and enough routing knowledge to own connectivity issues end to end rather than escalate them. Kubernetes: Solid experience running containerised workloads in production, ideally on EKS/AKS: cluster lifecycle, workload deployment patterns, and the operational realities of keeping Kubernetes healthy at scale. Security and compliance awareness: Experience operating in regulated environments. You understand why change control, least privilege, and auditability matter, and you design controls in rather than bolting them on. Familiarity with PCI DSS is a strong plus. Engineering excellence: A focus on observability and measurement: you instrument what you build and answer operational questions with data rather than opinion. Leadership and mentorship: A natural ability to guide and mentor peers, translate ambiguous problem definitions into actionable technical plans, and raise the bar through your code and your reviews. Pragmatic problem solver: You understand when to move fast (creating tech debt) and when to move right (paying it off). You are a cornerstone in incident resolution and root-cause analysis. Experience: 5+ years in cloud engineering roles with significant AWS depth. We need someone who can hit the ground running: comfortable joining a complex, established estate and delivering meaningful work in their first weeks, not their first quarter. A degree in Computer Science or a related field is useful but not required; we care about what you can build. HOW YOU’LL MAKE AN IMPACT: Lead Design & Delivery: Take ownership of large-scale platform projects end to end, from architecture through Terraform to production, ensuring they are scalable, secure, and cost-optimised. Build the paved road: Design the platform primitives that every product team at Checkout.com http://Checkout.com builds on, so that the secure path is also the easy path. Architectural Influence: Work with Engineering Managers and architects to refine requirements and shape the technical direction of the platform, documenting significant decisions as ADRs. Operational SME: Act as the Subject Matter Expert for numerous team-owned services, providing advanced operational support and ensuring high availability for our global payment systems. Evangelise Best Practices: Produce exemplary code and documentation that inspires others. You will be responsible for spreading best practices and standards across your group. Manage Dependencies: Navigate the organisation to manage technical dependencies inside and outside your pillar, optimising for both delivery speed and business outcomes. Foster Culture: Embody Checkout Operating Principles, using them to shape the group’s culture and acting as an example of efficiency and professional excellence. AI Integration: Proactively explore and implement AI-driven automation to enhance infrastructure efficiency and team productivity. Additional Information Bring all of you to work We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one. Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands. We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here. It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable. Life at Checkout.com http://Checkout.com We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection. Curious about what it’s like to be part of our team? Visit our Careers Page https://www.checkout.com/careers to learn more about our culture, open roles, and what drives us. For a closer look at daily life at Checkout.com http://Checkout.com, follow us on LinkedIn https://www.linkedin.com/company/checkout/life/ and Instagram https://www.instagram.com/checkout_com/

• Администрировать Linux-серверы и виртуальную инфраструктуру Proxmox VE. • Работать с сетью и pfSense: firewall, NAT, routing, VLAN, VPN.

Location: Remote - EMEA, Remote - NA PlanetScale is growing rapidly and reinventing the transactional database market. The PlanetScale platform offers both Postgres and Vitess clusters. Vitess, an open-source database clustering system for horizontal scaling of MySQL, enables businesses to efficiently handle large-scale data workloads — without sacrificing developer experience. PlanetScale is backed with over $100M in venture financing from top-tier VCs including a16z, Kleiner Perkins, SignalFire, and Insight Venture Partners. And we serve some of the most innovative companies in the world such as Block, Anysphere (Cursor), MyFitnessPal, Etsy, Kick, and thousands more. Our customers entrust us with what is often their most precious digital asset, their data, so the stakes couldn't be higher. We're looking for early members of our Sales team that can form deep partnerships with our prospects and customers to help them adopt and succeed on the next generation of database infrastructure. What's the job to be done? Partner with Sales and Customer Engineering throughout the pre-sales and post-sales journey as the technical expert helping customers solve their most challenging database problems. Lead technical discovery to match customers’ business and technical objectives with PlanetScale’s offerings. Design and execute proof of value timelines that deliver on agreed upon business outcomes and success criteria. Design database migration strategies and work hands-on with customers to execute migrations to PlanetScale's PostgreSQL and Vitess platforms. Assess workloads, analyze performance requirements, and recommend architecture, sizing, and optimization strategies. Build tools, scripts, and automation that accelerate migrations and improve customer onboarding. Create educational content including documentation, guides, blog posts, workshops, and videos. Collaborate with Product and Engineering teams to advocate for customer needs and shape the platform. These attributes best describe you… You have deep expertise in database systems including replication, high availability, sharding, performance tuning, and migration strategies. You're equally comfortable presenting architecture designs to executives and writing scripts to automate migration tasks. You thrive in customer-facing situations and translate technical concepts into business value for diverse audiences. You're self-motivated and can manage multiple engagements simultaneously with minimal oversight. You enjoy creating content and sharing knowledge through various formats. You're comfortable with occasional travel (less than 20%). What you will need 5+ years of hands-on experience with MySQL or PostgreSQL in production, including operations, performance tuning, and troubleshooting OR 5+ years of experience supporting customers with MySQL or PostgreSQL workloads where you advised on operations, performance tuning, and troubleshooting Experience working with at least one major cloud provider (AWS, GCP, Azure, or OCI) Proven success in customer-facing technical roles such as Solutions Architect, Sales Engineer, or Technical Account Manager Strong understanding of database migration strategies and tooling Experience evaluating database solutions including architecture reviews, capacity planning, and performance analysis Ability to write scripts and tools in Python, Go, or JavaScript Experience creating technical content such as documentation, tutorials, or blog posts What else will help you be successful Experience with AWS Database Migration Service (DMS) or logical replication tools Knowledge of Vitess, database sharding, or distributed database systems Familiarity with Kubernetes and cloud-native architectures Experience with infrastructure-as-code tools like Terraform or CloudFormation Contributions to open-source projects or active participation in database communities Public speaking experience at conferences or meetups Why PlanetScale We're redefining how high-growth companies manage data at scale—and we work with some of the most exciting brands in gaming, consumer tech, and B2B SaaS. As a Solutions Engineer, you'll guide customers through transformational database migrations and help them unlock the full power of PlanetScale's platform. PlanetScale is a profitable company with a philosophy centered around building small teams of p99 individuals and is recognized as one of the fastest growing companies in America. At PlanetScale we believe in supporting people to do their best work and thrive no matter the location. Our mission is to build a diverse, equitable, and inclusive company. We strive to build an inclusive environment where all people feel that they are equally respected and valued, whether they are a candidate or an employee. We welcome applicants of any educational background, gender identity and expression, sexual orientation, religion, ethnicity, age, citizenship, socioeconomic status, disability, pregnancy status, and veteran status. If you have a disability, please let us know if there's any way we can make the interview process better for you; we're happy to accommodate! Total Compensation and Pay Transparency An employee's total compensation consists of base salary + variable comp where appropriate + benefits + equity. A member of our Talent Acquisition team will be happy to answer any further questions when we engage with you to begin the interview process. Base salary range: $160,000 - $250,000 USD

Location: Copenhagen, Denmark About Wolt At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we’re building the delivery of (almost) everything and you’ll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe. Working at Wolt isn’t always easy, but it’s definitely exciting. Here you’ll learn more, build more, and ship more than in most other companies. You’ll be challenged a lot, but also have a lot of fun on the way. So, if you’re a self-starter with drive and entrepreneurial spirit, this could be the ride of your life. About the role The Head of Retail, Scandinavia is responsible for full ownership of the retail business across Denmark, Sweden, Norway and Iceland. The role holds end to end accountability for strategy, commercial growth, operational performance, and profitability. Reporting to the Regional General Manager Retail, the Head of Retail defines the regional retail strategy and ensures strong execution across markets. The role leads Sales, Key Account Management, and Retail Operations Excellence through Country Leads and Head of Sales, ensuring aligned performance across acquisition, partner growth, and operational quality. The Head of Retail operates as the regional business owner for Retail and is accountable for delivering sustainable revenue growth, strong unit economics, and a best in class partner and customer experience. In this role you will Business Ownership and Strategy Own the full retail P&L across all countries in the region, including revenue growth, commission levels, cost structure, and profitability. Own budget and Headcount planning together with the Regional General Manager and Finance. Define and execute the regional retail strategy, ensuring scalable and sustainable growth across categories and markets. Translate regional strategy into clear commercial, sales, and operational priorities for each country. Continuously evaluate market performance and adjust strategy based on data, competitive landscape, and growth potential. Run a regular operating cadence across the Scandinavian countries (business reviews, forecasts and OKR check-ins) and hold teams accountable for delivery. Commercial Leadership Lead acquisition and growth strategy across the region through Cluster Head of Sale as direct report. Drive partner performance and portfolio development through Country Leads and the respective Key Account Management teams. Oversee strategic commercial negotiations with major retail chains and high impact partners when required. Ensure balanced development of national chains and local stores to maintain a competitive and diverse retail portfolio. Optimize commission models, promotional intensity, and category focus to maximize long term value creation. Operational Excellence Lead Operations Excellence Specialists to ensure high quality execution, operational KPIs, and consistent standards across markets. Own regional outcomes for partner operational performance, order quality, availability, and customer experience, delivered through country and Operations Excellence teams. Establish clear KPI governance and performance tracking frameworks across countries. Ensure cross market best practice sharing and scalable process implementation. People Leadership and Organizational Development Directly lead Country Leads,  Head of Sales, and Operations Excellence Specialists. Build a high performing regional retail organization with clear accountability, performance expectations, and development plans. Ensure strong collaboration between Sales, Account Management, and Operations functions. Coach senior leaders within the region and strengthen succession pipelines. Own People processes for the Region in partnership with HR: performance management cycles, talent reviews, succession planning and employee engagement action plan across teams. Cross Functional Collaboration Partner closely with Marketing, Product, Finance, Delivery operations, Marketplace and Regional Leadership to ensure aligned growth plans and execution. Represent the Retail function within the regional leadership team and contribute to broader business strategy. Ensure alignment between regional priorities and global retail frameworks. Our humble expectations: 8+ years of professional experience, including significant people leadership and cross functional teams. Proven experience leading multi country retail or commercial businesses with full P&L ownership. Strong background in retail, FMCG, e-commerce, consulting or marketplace environments. Strong financial and analytical acumen with the ability to manage performance at both regional and country levels. Experience building scalable commercial and operational structures across markets. Strong negotiation skills and ability to manage enterprise level relationships. Ability to balance strategic direction with hands-on execution. Demonstrate ability to use AI tools to strengthen commercial and operational performance, for example in account planning, performance analysis and ways of working, and to drive AI adoption across your teams. Hands-on experience with tools such as Claude is a plus. Excellent communication skills in English, Scandinavian languages (DNK, SWE & NOR) is very beneficial. Why you’ll love it 🚀Global and growing fast: Be part of a fast-moving scaleup 🤩Ride of a lifetime: Accelerate your career and build your sales skills 💪Instant impact: Take ownership and make a difference 💙Big hearts and small egos: Surround yourself with smart, friendly people Next steps If you are excited about working in a high-growth environment, taking ownership, and being part of an extremely ambitious team, then click below to apply, make sure to add your CV and get the conversation going! We will be reviewing app Our Commitment to Diversity and Inclusion We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel. Beware of recruitment scams: DoorDash, Deliveroo, and Wolt will never ask you to pay money or share sensitive financial information during hiring — learn more about our legitimate recruiting process at Recruitment Scam Awareness - DoorDash .

Location: New York Workplace: Hybrid 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 Role We are seeking highly experienced Site Reliability Engineers (SRE) to shape the reliability, scalability and performance of our platform and customer facing applications. You will work closely with our software engineers and research teams to ensure our systems meet and exceed our internal and external customers' expectations.     What You Will Do As a Site Reliability Engineer, you balance the day-to-day operations on production systems with long-term software engineering improvements to reduce operational toil and foster the reliability, availability, and performance of these systems.   Operations • Design, build, and maintain scalable, highly available and fault-tolerant infrastructures to support our web services and ML workloads • Make sure our platform, inference and model training environments are always highly available and enable seamless replication of work environments across several HPC clusters • Operate systems and troubleshoot issues in production environments (interrupts, on-call responses, users admin, data extraction, infrastructure scaling, etc.) • Implement and improve monitoring, alerting, and incident response systems to ensure optimal system performance and minimize downtime • Implement and maintain workflows and tools (CI/CD, containerization, orchestration, monitoring, logging and alerting systems) for both our client-facing APIs and large training runs • Participate occasionally in on-call rotations to respond to incidents and perform root cause analysis to prevent future occurrences   Development • Drive continuous improvement in infrastructure automation, deployment, and orchestration using tools like Kubernetes, Flux, Terraform • Collaborate with AI/ML researchers to develop and implement solutions that enable safe and reproducible model-training experiments • Build a cloud-agnostic platform offering an abstraction layer between science and infrastructure • Design and develop new workflows and tooling to improve to the reliability, availability and performance of our systems (automation scripts, refactoring, new API-based features, web apps, dashboards, etc.) • Collaborate with the security team to ensure infrastructure adheres to best security practices and compliance requirements • Document processes and procedures to ensure consistency and knowledge sharing across the team • Contribute to open-source projects, research publications, blog articles and conferences   What We're Looking For • Master’s degree in Computer Science, Engineering or a related field • 7+ years of experience in a DevOps/SRE role • Strong experience with cloud computing and highly available distributed systems • Exposure to site reliability issues in critical environments (issue root cause analysis, in-production troubleshooting, on-call rotations...) • Experience working against reliability KPIs (observability, alerting, SLAs) • Hands-on experience with CI/CD, containerization and orchestration tools (Docker, Kubernetes...) • Knowledge of monitoring, logging, alerting and observability tools (Prometheus, Grafana, ELK Stack, Datadog...) • Familiarity with infrastructure-as-code tools like Terraform or CloudFormation • Proficiency in scripting languages (Python, Go, Bash...) and knowledge of software development best practices • Strong understanding of networking, security, and system administration concepts • Excellent problem-solving and communication skills • Self-motivated and able to work well in a fast-paced startup environment   Your application will be all the more interesting if you also have: • experience in an AI/ML environment • experience of high-performance computing (HPC) systems and workload managers (Slurm) • worked with modern AI-oriented solutions (Fluidstack, Coreweave, Vast...) 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: 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. As a member of the Teleport Customer Solutions Team, you will own the full post-sales lifecycle for a portfolio of strategic customers: implementation, technical support, ongoing business reviews, and identifying expansion opportunities. You will be responsible for implementing, supporting, evangelizing, and expanding Teleport at our top customers, and dedicated to proactively driving adoption so that they achieve the maximum value from all Teleport products and solutions. This is a deeply technical role. Many of our customers run Teleport on Kubernetes, and you will be expected to operate comfortably at the cluster level: designing and deploying Teleport in customer environments, troubleshooting failing workloads, and debugging access, networking, and certificate issues alongside customer engineers. You will work directly with customers to design solution architecture, deploy and configure Teleport hands-on, share implementation best practices, triage and debug technical issues, develop and maintain training programs, evangelize the solution to a wider customer organization, and plan and assist with enterprise-wide rollouts. You will act as a customer champion within Teleport and help prioritize product feedback by working with the Product team. As a Senior Technical Account Manager, you will be the primary lead for identifying and providing initial triage of technical blockers via shared chat, ticket, and meetings. As our company grows and we launch new offerings, the requirements of this position may shift. You should be comfortable with change and have an interest in continually learning and advancing your skillset. What you’ll bring - Deep, hands-on Kubernetes experience. You have built clusters with kubeadm (not just managed services), configured RBAC and certificate-based user access, and debugged failing workloads, networking, and control-plane issues. CKA certification is strongly preferred; CKAD is a plus. - Experience with cert-manager and TLS certificate management, Helm, and GitOps tooling (ArgoCD or Flux) - Demonstrable experience with the following security principles and technologies: SSH, PKI, 2FA, SSO (SAML, OIDC), and RBAC - Linux administration skills - Hands-on experience with one of the major public cloud providers: AWS, GCP, or Azure (certifications are a plus) - 8+ years of experience in customer-facing software onboarding, software services, solution architecting, or system administration roles - Exceptional hands-on troubleshooting, testing, and debugging skills, with the tenacity to identify and resolve technical issues as they arise - Outstanding soft skills and excellent verbal and written communication - Project management experience and the ability to handle multiple clients simultaneously What you’ll be doing - Design solution architecture for Teleport in customer environments - Deploy and configure Teleport in customer environments, including Kubernetes-based deployments, and communicate implementation best practices to the customer - Act as the point person for technical issues, troubleshooting Kubernetes-based customer environments (cluster, networking, certificate, and access issues) and escalating high-complexity cases to Engineering - Work closely with Sales and Product to identify customer needs tied to tangible upsell and cross-sell opportunities - Plan and deliver Quarterly Business Reviews for customers, drive adoption within the customer organization, and plan and assist with enterprise-wide rollouts of Teleport - Develop, maintain, and deliver customized training, and evangelize the solution to a wider customer organization - Maintain strong working relationships with key client stakeholders and expand those relationships into other parts of the organization - Document each customer’s business goals and challenges to align Teleport with the most value possible - Serve as a subject matter expert on existing and upcoming Teleport solutions for customers and teammates, staying up to date on the latest releases - Collaborate with Sales and Product to provide valuable feedback for product improvement - Support our broader customer base seeking new solutions and best practice recommendations Our interview process Our interview process includes a hands-on technical assessment. You will build a kubeadm Kubernetes cluster, configure RBAC with certificate-based user access, deploy an application, present your design and its tradeoffs, and work through live Kubernetes troubleshooting scenarios. Candidates should be comfortable operating Kubernetes at this level without relying on managed-service abstractions. You are welcome to use AI tools for the take-home portion, with full disclosure of how they were used. 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/