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

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Product Manager focused on Enterprise Privacy, you'll collaborate with Privacy Engineering, Infrastructure, Trust and Safety, Legal, Security, GTM, enterprise and platform product teams, and our cloud partners to evolve and extend the controls that enterprises, regulated industries, and governments require in order to bring their most sensitive work to Claude. You will synthesize complex and fast-changing business needs and partner closely with the teams that retain, protect, and govern customer data across Anthropic's first-party platform and Claude on AWS, GCP, and Azure. Together, you will ensure that privacy guarantees are enforced by our systems and are verifiable by our customers. This is a high-visibility role with substantial scope. Anthropic offers layered controls over how customer data is retained and accessed, and you will build the product surface that lets customers understand, govern, and verify these controls. This includes retention and access controls, access logs and compliance reporting, customer-managed keys and custody, data residency, and self-serve user interfaces. Your stewardship of these privacy capabilities earns the customer trust that is essential to Anthropic's mission. Key responsibilities Deeply understand external customers with strict data handling requirements, from a bank's CISO to a healthcare system's compliance team to a government contractor's auditor, and the internal Trust and Safety, Legal, and GTM stakeholders whose needs pull in different directions. Partner with Privacy Engineering to ship controls that unblock regulated customers, balance impact against engineering cost, and deliver at Anthropic speed. Co-develop solutions with design-partner customers and their compliance teams, so shipped changes pass real audits, not just hypothetical ones. Work with engineers to steer architecture and investment decisions with a long-term lens: balancing build versus buy versus rely-on-the-cloud-provider, and sequencing custody, residency, and transparency across clouds that ship on their own timelines. Define success metrics for privacy controls, from preventing configuration incidents by design, to the speed at which customers can independently answer questions about their own data. Define and iterate on the self-serve experience for compliance and security teams, expanding what an organization can check about its own posture, settings, and access history without having to wait on support tickets. Gather and assess competing stakeholder needs and communicate prioritization trade-offs clearly to senior leadership, balancing privacy risk, safety requirements, legal exposure, and commercial impact. When something goes wrong, own what customers hear from us and when. Work with engineering leads to decide how retention, access, residency, and custody controls are enforced, so that our infrastructure keeps the promises we make. Minimum qualifications Experience taking a new product area from ambiguity to a durable roadmap, and shipping controls that enterprises or regulators depend on. A track record of driving platform capabilities that balance the needs of multiple customer segments and internal stakeholders. The judgment to make prioritization trade-offs between customer demand, risk, and engineering cost, and the clarity to communicate them. The ability to internalize how privacy, safety, legal risk, and commercial impact interact, and translate that understanding into a coherent product vision. Experience building highly collaborative and effective relationships with engineers and key cross-functional stakeholders. You have equal credibility providing design doc feedback to engineers, negotiating a control with a CISO without losing the relationship, and explaining a risk trade-off to leadership. Preferred qualifications 8+ years of product management experience, with deep exposure to privacy, security, or compliance products. Built or scaled audit logging, key management, data residency, retention, or access governance products for regulated customers. Shipped controls across multiple cloud providers or partnered with AWS, GCP, or Azure at the platform level. Worked with certification, attestation, or trust center programs (SOC 2, ISO 27001, FedRAMP). Used Claude, Claude Code, or comparable agentic tools and formed opinions about the data controls they should offer. 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: $305,000 — $385,000 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: Dublin, IE 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 IT Operations team keeps Anthropic running. We want every employee to do their best work without friction. We're hiring an IT Support Engineer who pairs strong technical skills with a service mindset and good judgment. Anthropic is growing fast, and IT needs to keep pace. That means onboarding at scale, automating repetitive work (including with Claude), and improving the day-to-day employee experience. You'll handle support across our mostly macOS environment and help with the operational work that lets us scale. You'll work closely with IT Engineering and Security, with room to grow into more technical infrastructure work over time. This isn't a scripted support role. You'll have real ownership, use your judgment to improve our processes, and grow with the team as we scale. Key responsibilities Triage and resolve issues across hardware, software, networking, and accounts, mostly through our ticketing system, plus Slack and in-person Diagnose and fix issues across macOS, ChromeOS, iOS, Android, and our core SaaS platforms (Google Workspace, Slack, GitHub, Atlassian) Troubleshoot device issues, including enrollment, configuration profiles, and policy enforcement Support access management and employee lifecycle workflows (onboarding, offboarding, reorgs) Handle escalations that need cross-team coordination Join an on-call rotation for urgent issues outside business hours Provide hands-on support for user technology, AV systems, conference rooms, and printers Communicate clearly with users at every technical level Write and maintain internal documentation, including runbooks, how-to guides, and knowledge base articles Spot patterns in support requests, surface recurring issues, and flag opportunities to automate Help streamline onboarding and other high-volume operations as we scale Contribute to automation efforts Maintain and improve device management, identity, and access systems Write scripts (Bash, Python) to automate repetitive tasks Minimum qualifications Hands-on IT support experience, ideally in a fast-paced environment Experience supporting macOS endpoints, and comfortable supporting ChromeOS, iOS, and Android Experience with Google Workspace administration Experience with Slack administration, including workspace management, permissions, and troubleshooting Experience supporting and administering other SaaS tools Understanding of identity and access fundamentals: SSO, MFA, directory services Familiarity with MDM fundamentals and endpoint management concepts Basic scripting (Bash or Python) for automation Strong troubleshooting skills, with a methodical and persistent approach Clear communicator who enjoys helping people solve problems Take ownership of problems and follow through until they're resolved Preferred qualifications Familiarity with zero-trust security concepts and endpoint security tooling Networking basics: DNS, DHCP, VPNs Experience with IT projects beyond day-to-day support, such as migrations, tool rollouts, or process redesigns Experience using AI tools to improve personal or team productivity Interest in developing deeper technical skills and taking on more complex systems administration over time 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: €125.000 — €165.000 EUR 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: Limassol, Cyprus Workplace: on-site Mayflower is a technology company that alters the entertainment industry to a new level of perception and engagement. How do we do it? With the power of cutting-edge technologies. Our global IT products are made by an in-house team of passionate techies. They love working hard to deliver the best user experience. Improving features until they perform excellently is in our DNA. We profit from our work, but money doesn’t directly dictate our development. We’re up for experiments — that’s how we stay the industry pioneers. We are proud of our core and supporting products like our own payment system, AR/VR, Machine Learning, Computer Vision expertise, and more. We are looking for a Payments and Fraud Analyst . Job Responsibilities Monitor our automated fraud system and review suspicious users. Chargeback handling, review, and representation. Customer support for payments and fraud related issues. General assistance to the Finance and Risk Department. Rotating 24/7 Shifts. You will thrive here if you have… Minimum 1 year of experience in Online Customer Support, Banking, Financial Services, or Online Payments is preferred. Minimum 2 years of experience in a fraud-related role or a similar position is required. Fluency in English is a must, additional languages ​​are advantageous. Desirable skills: Interest in online businesses and expand knowledge in online payments and fraud. Motivated to learn, explore new things, and grow within the company. Critical Thinker that can connect the dots with Fast Decision-Making ability. Excellent attention to detail. Languages: Fluency in English is a must, additional languages ​​are advantageous. Conditions We know that great talent deserves great conditions, so here's what you can expect when joining us: EU-based employment contract. Transparent performance reviews twice a year, with bonus opportunities and salary adjustments. Private medical insurance for you and your family, a corporate mobile plan (unlimited in Cyprus with roaming included), and interest-free support for car purchases. Provident fund (Cyprus): a long-term savings plan co-funded by you and the Company together (available after probation) that grows throughout your time with us in Cyprus. Mindfulness & well-being support, including psychological assistance with 50% coverage. 50% coverage of school and kindergarten fees for your children. Fully covered sports benefits, and also access to in-house electric scooters and bike rentals. Investment in your growth: paid language courses and access to suited-for-you development programs, including conferences, training programs, and coaching to support your professional journey. A culture of recognition: a peer reward program to celebrate your contributions. A fully equipped office in Limassol, with everything you need for deep work and collaboration. Free catering in the office and an in-house coffee bar with high-quality drinks and a health bar stocked with nutritious snacks. A strong engineering culture: international teams, corporate events, team buildings, and hackathons—because great work happens in great communities. Benefits are provided in accordance with the company's policies and eligibility criteria. Recruitment process HR interview (30 mins) Technical interview (1 hour) Test task (15 mins)

Location: New York Workplace: OnSite ABOUT US: AI NEEDS A NEW INFRASTRUCTURE LAYER. WE'RE BUILDING IT AT MODAL. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation. Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. ABOUT US: AI needs a new infrastructure layer. We're building it at Modal. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Lovable https://modal.com/blog/lovable-case-study, Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We recently raised a $355M Series C https://modal.com/blog/modal-series-c at a $4.65B valuation, led by General Catalyst and Redpoint Ventures. We've crossed $300M+ ARR and grown fivefold since September. Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. THE ROLE: Modal builds the infrastructure that lets engineers run AI workloads without the usual pain. To do this well, we need exceptional people – and that’s where you come in. As the first dedicated technical recruiter on our Talent team, you’ll own engineering and AI/ML searches end-to-end. You’ll work closely with our Head of Talent, founders, and technical leads to shape how we hire and help bring in the people who will define what Modal becomes. What you’ll do: - Run full-cycle recruiting for engineering and AI/ML roles (sourcing, pitching, guiding interviews, and closing candidates) - Partner with technical leaders to understand the real work and calibrate on what great looks like - Help set our technical hiring bar and how we evaluate talent - Execute creative top-of-funnel strategies that resonate with a strong community of talented, experienced engineers - Deliver a fast, respectful, honest candidate experience - Bring an equity lens to every stage of the process - Use data and market context to keep searches on track and expectations aligned - Support candidates as a trusted guide through high-stakes decisions REQUIREMENTS: - You know technical recruiting inside and out and enjoy the challenge of deeply technical roles - You’re curious – you ask the right questions and love understanding how things actually work - You influence with insight and honesty, not by simply having the loudest voice in the room - You move quickly and communicate clearly, even when things get messy - You’re a strong closer who builds trust early and stays ahead of concerns - You’re steady when priorities shift and can recalibrate without losing momentum - You care about people and want them to have a thoughtful, fair, and human experience throughout the process

Location: San Francisco; New York Workplace: OnSite ABOUT US: AI NEEDS A NEW INFRASTRUCTURE LAYER. WE'RE BUILDING IT AT MODAL. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation. Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. THE ROLE: Modal builds the infrastructure that lets engineers run AI workloads without the usual pain. To do this well, we need exceptional people, and that’s where you come in. As the first dedicated GTM recruiter on our Talent team, you’ll own sales, GTM, and G&A searches end-to-end. You’ll work closely with our Head of Talent, founders, and GTM leads to shape how we hire and help bring in the people who will define what Modal becomes. WHAT YOU'LL WORK ON: - Drive full-cycle recruiting for key hires across GTM and G&A functions (sourcing, pitching, guiding interviews, and closing candidates) - Partner with GTM leaders to understand the real work and calibrate on what great looks like - Help set our hiring bar and how we evaluate talent - Execute creative top-of-funnel strategies that resonate with a strong community of experienced GTM talent - Deliver a fast, respectful, honest candidate experience - Bring an equity lens to every stage of the process - Use data and market context to keep searches on track and expectations aligned - Support candidates as a trusted guide through high-stakes decisions YOU MAY BE A FIT IF: - You know GTM recruiting inside and out and enjoy challenging searches - You’re curious: you ask the right questions and love understanding how things actually work - You influence with insight and honesty, not by simply having the loudest voice in the room - You move quickly and communicate clearly, even when things get messy - You’re a strong closer who builds trust early and stays ahead of concerns - You’re steady when priorities shift and can recalibrate without losing momentum - You care about people and want them to have a thoughtful, fair, and human experience throughout the process

Location: Palo Alto, CA or Seattle, WA ABOUT DOCKER Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout. We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default. _______________________________________________________________________ As agents take on bigger jobs, the infrastructure around them matters more. Docker's answer is to give every agent a strong boundary, make its environment and authority reproducible, and let the work run where it makes sense, from a developer's laptop to the cloud. The Docker AI Substrate team brings that foundation to the enterprise: the largest companies in the world, running agents at scale, with the security, reliability, and control they expect from any critical system. We are a small, senior team at the start of that work. As a Staff Software Engineer here, you will shape the architecture, build the core systems, and run what you build. Locations: Seattle, WA or Palo Alto, CA. RESPONSIBILITIES - Design and build the systems that deploy, release, and operate Docker's agentic platform for enterprise customers, in Go and on Kubernetes. - Make the platform run consistently across cloud providers and environments, with the security, identity, and network boundaries enterprises require. - Own the release and supply chain path so every deployment is reproducible, verifiable, and trusted. - Run what you build: production ownership, on-call, SLOs, incident response, and the operational tooling that keeps it boring. - Set technical direction with the team's architect and engineering leadership, and work with partner teams across runtime, developer experience, identity, and observability. - Raise the bar through design review, testing discipline, and mentorship as the team grows. QUALIFICATIONS REQUIRED - You have built and operated a cloud control and management plane. Software that provisions, upgrades, and watches infrastructure for many tenants or environments, in production, with a pager. Experience at a cloud provider, a managed-service vendor, or a platform team that stamps out environments. - Kubernetes beyond deployment. You have written controllers or operators, understand reconciliation and CRDs, and know why declarative beats imperative at fleet scale. - Deep in at least one major cloud. Hands-on with compute, networking, identity, and managed services, and able to pick up a second cloud fast. - Production ownership. On-call, incident response, SLOs, post-mortems. You run what you build. - Distributed systems design. Fault tolerance, consistency, observability, idempotent reconciliation. - Go. Professional proficiency. Docker's backend and all of this team's code is Go. - 10+ years of professional software engineering in infrastructure, platform, or cloud services, with the judgment to set direction for others. STRONGLY PREFERRED - Kubernetes resource orchestration and cloud controllers, such as KRO. - Release engineering and software supply chain: OCI registries, digests, license compliance. - Private connectivity between cloud accounts: PrivateLink, VPC peering, service endpoints, egress policy. - OpenTelemetry pipelines with multiple destinations. - Building managed services. - Firecracker, microVMs, or other isolated execution environments for untrusted code. - Bachelor's degree in Computer Science or a related field, or equivalent practical experience. Docker considers visa sponsorship on a case-by-case basis based on business needs.   Compensation & Equity United States: $170,350 – $275,550 + equity ______________________________________________________________________ POSTING INFORMATION - Open vacancy: This posting is for an existing open role. - AI in hiring: Docker may use AI-assisted tools during our recruiting process. - Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent. ______________________________________________________________________ PERKS & BENEFITS - Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration. - Flexibility that fits your life – We trust you to manage your schedule while delivering great work. - Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break. - Home office support – Set up your workspace for comfort and success. - Technology stipend – Equivalent to US$100 net per month to help support your work. - Learning & development – Annual stipend for conferences, courses, certifications, and continued learning. - Parental leave – 16 weeks of paid parental leave after six months of employment. - Equity for all full-time employees – Share in Docker's long-term success as we continue to grow. - Comprehensive benefits – Medical, retirement, and paid holidays vary by country. - Docker swag – Because representing the whale never gets old. Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community. #LI-REMOTE

Location: San Francisco, CA | New York City, NY | Seattle, WA 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 Growth team helps people discover, adopt, and become successful on Claude. Product managers, engineers, designers, data scientists and marketers work together as one team across every product and plan: Pro, Max, Team, Enterprise, as well as the API for developers. Growth marketing sits within this unified Growth team, and is responsible for performance marketing, lifecycle, and SEO. We are hiring a Growth Marketing Lead to own and scale our performance marketing efforts. This leader will define channel strategy across self-serve and sales-assisted journeys, develop programs for distinct customer segments, and own measurable impact from demand creation through customer growth. Key responsibilities Own our global performance marketing channel strategy across all channels, including forecasting, planning, audience targeting, and budget pacing Execute growth campaigns end-to-end across acquisition, activation, and retention, from hypothesis through launch and scale Build campaigns and programs for consumers, developers, and businesses Own self-serve and product-led B2B demand generation for Team, Enterprise and the API, and partner with Enterprise Marketing and GTM on sales-assisted demand Partner closely with Data Science on incrementality, holdouts, attribution, lifetime value and payback Drive experimentation and incrementality measurement, translating results into scalable playbooks across markets, segments, and sales motions Work with Growth Product and Growth Engineering on top-of-funnel experiments, tracking and the marketing stack, so campaigns do not stop at the click Work with Brand, Content and Product Marketing to get high-quality creative out much faster, and take what works in core markets international Turn complex analysis into clear recommendations for senior leadership, shape the long-term roadmap, and lead and grow the growth marketing team Minimum qualifications Have 10+ years in growth or performance marketing at high-growth technology companies with a self-serve or product-led motion Have led a growth marketing function, owning the team, budget, and KPIs across multiple channels, and have been hands-on in the work recently Have driven self-serve and product-led B2B demand generation as well as consumer growth, and have partnered well with enterprise marketing and sales teams Are rigorous about experimentation and incrementality, can pull and check your own numbers, and can hold your own with data scientists Reason from first principles, push through blockers and ship, and bring partner teams along while you do it Communicate clearly in writing and can explain marketing performance to non-marketers and executives Technical background or ability to work effectively with engineering teams Already use AI to work faster and better, have a point of view on how it changes growth marketing, and are excited about Anthropic's mission Preferred qualifications Have marketed to developers or other technical audiences, or worked on an AI product Experience across both SEO and lifecycle, in addition to performance marketing Experience working on products with dual B2C and B2B funnels Experience working on consumer subscription businesses Founder background 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: $320,000 — $400,000 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: Berlin Office; Bosnia; Norway; Estonia; Latvia; Slovenia; Netherlands; Hungary; Kosovo; Portugal; Poland; Serbia; Germany; Austria; Finland; Albania; Lithuania; Slovakia; Ireland; Bulgaria; Denmark; Belgium; Czech Republic; United Kingdom; Croatia; Spain; Greece Workplace: Remote The AI orchestration of your wildest imagination. n8n is the open workflow orchestration platform built for the new era of AI. We give technical teams the freedom of code with the speed of no-code, so they can automate faster, smarter, and without limits. Backed by a fiercely inventive community and 500+ builder-approved integrations, we’re changing the way people bring systems together and scale ideas for impact. Since our founding in 2019, we’ve grown into a diverse team of over 260 - working across Europe and the US, connected by a shared builder spirit and with our centre of gravity in Berlin. Along the way, we’ve: - Cultivated a community of more than 650,000 active developers and builders - Earned 190K+ GitHub stars, making us one of the world’s Top 40 most popular projects - Backed by top investors, from Sequoia’s first German seed to our SAP's recent strategic investment - bringing us to a $5.2bn valuation That’s the company we’ve built. Now we’d love to see what you can build. If you’re applying, try n8n out - whether you’re technical or not - and share a screenshot of your first workflow with us. The easiest place to start is here: app.n8n.cloud/register http://app.n8n.cloud/register. We’re in a defining moment of an incredible journey. Come and build with us. As a Senior Customer Success Manager (High-Touch) for the German-speaking market, you will be the trusted post-sales partner for some of n8n’s most strategic enterprise customers. With a deliberately small book of business, you go deep: you learn each customer’s business, build relationships across their organization, and turn product usage into measurable outcomes and clear ROI. You will own retention and expansion for your accounts, running a tight operating cadence of kickoffs, success plans, health checks, QBRs and renewals, while proactively managing risk and escalations. In close partnership with Support, Solutions Engineering, Product and Sales, you turn technical success into durable revenue. WHAT YOU’LL BE DOING - Own a small book of n8n’s largest, most strategic enterprise customers in the German-speaking market, acting as their primary post-sales partner across onboarding, adoption and renewal - Build an account strategy for each customer and a footprint across their organization, from IT and engineering teams to senior business and executive stakeholders - Own retention and expansion targets, driving renewals and growth (upsell/cross-sell) in partnership with Account Executives - Lead customer kickoffs and success planning, aligning stakeholders on goals, timelines, responsibilities and measurable outcomes - Drive onboarding and enablement for technical and business audiences, unblocking implementation and accelerating time-to-value - Run a strong operating cadence (health checks, exec syncs, QBRs), using usage and health data to proactively spot risks and manage escalations - Quantify and communicate business value throughout the lifecycle, building ROI narratives tied to adoption, outcomes and impact - Partner closely with Support, Solutions Engineering and Product to resolve blockers quickly and deliver a seamless customer experience - Provide structured, actionable customer feedback to Product and Engineering, and share what you learn with the wider CS team REQUIREMENTS 🗣 German native speaker: You are a native German speaker with fluent business English, and you are based in Europe (Germany ideal; willing to travel to customers) 🤝 Senior Enterprise Customer Success experience: You’ve owned a small, strategic book of enterprise SaaS customers, going deep on each account, and can run kickoffs, onboardings and QBRs end-to-end 💼 Revenue ownership: You’ve carried a retention and/or expansion target, know your KPIs, and have a track record of renewals and growth 💻 Technical acumen: You lean toward the technical end of the CSM spectrum and can confidently engage with IT/engineering stakeholders (APIs, integrations, auth basics, environments), and you know when to bring in Support. 🏭 DACH enterprise experience: You’ve worked with large German-speaking enterprises (e.g. automotive, manufacturing, retail) 📊 Commercial acumen & value mindset: You translate product usage into measurable outcomes, ROI and executive-ready business cases 🧭 Account strategy & operational rigor: You build account plans, a clear operating cadence and a footprint across large organizations, keeping stakeholders aligned with structure and follow-through 🤝 Senior stakeholder management: You communicate crisply with both builders and executives and are known for building durable, high-trust relationships 🌱 Builder mindset: You enjoy taking ownership and making an impact in fast-changing environments Nice-to-haves 🤖 Automation + AI curiosity: You’ve used automation/AI tools (or iPaaS/workflow platforms) and can bring ideas that improve customer value realization 🧩 Familiarity with n8n or similar tools: Prior exposure to workflow automation/integration platforms helps you ramp faster 🚀 Startup/scale-up experience: You’ve operated in high-growth environments and enjoy “build the plane while flying it” work 🎓 Technical or STEM education: Degree or equivalent training in a technical field is a plus (Computer Science, Engineering etc.) 🌍 Multi-region experience: You’ve worked with global enterprise accounts across EMEA/US time zones and complex stakeholder groups n8n is an equal opportunity employer and does not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, gender identity, age, marital status, veteran status, or disability status. We can sponsor visas to Germany; for any other country, you need to have existing right to work. Our company language is English. You care about diversity and inclusion? We do too! Check out our Diversity, Inclusion and Belonging initiatives at n8n https://www.notion.so/Diversity-inclusion-and-belonging-n8n-c1bec2fff536422d868b1a438d990e35?pvs=21 (https://www.notion.so/n8n/Diversity-inclusion-and-belonging-n8n-c1bec2fff536422d868b1a438d990e35). Location disclaimer: If you see multiple job postings for the same role, it is most likely because we're hiring remotely for this role and posting in different locations to make sure every potential candidate can see the role. Please apply to the location you're the most likely to work from in the future. BENEFITS - Competitive compensation 💸 – We offer fair and attractive pay. - Ownership 💪 – Our core value is to “empower others,” and we mean it—you’ll get a slice of n8n with equity. - Work/life balance 🏖️ – We work hard but ensure you have time to recharge: - Europe: 30 days of vacation, plus public holidays wherever you are. - US: 20 vacation days, 8 sick days, plus public holidays wherever you are. - Health & wellness 🩺 – - Europe: We provide benefits according to local country norms.* - US: Multiple low-premium, low-deductible medical plans with coverage for individuals and families—plus a no-cost premium HDHP option with a pre-seeded HSA—along with dental and vision coverage. - Future planning 💰 – - Europe: We provide pension contributions according to local country norms.* - US: 401(k) retirement plan with a 4% employer match. - Financial security 🛡️ – - Europe: We provide benefits according to local country norms.* - US: Company-paid short-term and long-term disability insurance, plus life insurance to support you and your loved ones. - Career growth 📈 – We hire rising stars who grow with us! You’ll get €1K (or equivalent) per year to spend on courses, books, events, or coaching to level up your skills. - A passionate team 🤩 – We love our product, and we prove it with regular hackathons where we see who can build the coolest thing with it! - Remote-first 🌏 – Our team works remotely across Europe, with regular off-sites for team bonding. Some roles, like sales in the US, are hybrid—please check the job description. - Giving back 🤝 – We're big fans of open source, and you'll get $100 per month to support projects you care about. - Transparency 🙏 – We all know what everyone’s working on, how the company is doing—the whole shebang. *Country and/or State specific details provided in your employment agreement.

Location: Boston, MA; Remote-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA | New York City, NY; Washington, DC 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 Endpoint team (Client Platform Engineering) treats Anthropic's device fleet as a platform we build and run. We run our own MDM as a production service and manage every piece of device configuration as code. Policies, configuration profiles, queries, remediation scripts, and software all ship through pull requests, CI, a staging environment, and a canary group before they reach the fleet. The fleet is mostly macOS, plus a small number of Linux machines and a growing mobile footprint. You'll own that platform end to end: the infrastructure underneath the MDM, the configuration on top of it, the patching and software pipelines that keep thousands of devices patched and secure, and the telemetry that tells us what is actually true on every device. You'll also build automation that cuts down on manual operational work. You'll work with Security teams on hardening, compliance controls, and detection and response, and with developer and infrastructure teams to make sure those controls don't get in the way of their work. Your work will let us base access decisions on whether a device can be trusted. We value people who double check a compliance report before they believe it. The team is deliberately lean and runs with high autonomy. You'll help define the endpoint roadmap, make architecture decisions, and own the platform every Anthropic employee's work runs on. You'll also help us meet the security standards our Responsible Scaling Policy requires as models advance. Responsibilities Own endpoint configuration as code: author, review, test, and progressively roll out MDM policies, configuration profiles, and remediation scripts across macOS and mobile, with canary stages and rollback built in Operate the MDM platform itself as a production service, including infrastructure as code, observability, upgrades, and incident response Build patch management automation with rapid enforcement timelines while maintaining good user experience Design zero touch provisioning that turns a sealed box into a productive machine on day one Support a small number of Linux machines alongside the Mac fleet Turn fleet telemetry into policy, dashboards, and early drift warnings, and use Claude to automate manual ops work Partner with Corporate Security on endpoint hardening, binary authorization, and compliance controls Take shifts on the team's rotation for incoming requests and escalations, and serve as the deep escalation tier for endpoint issues IT Operations can't resolve You may be a good fit if you Have 8+ years building secure IT systems in complex environments, including leading projects across multiple teams Have managed endpoint fleets of thousands of macOS devices through a modern MDM Treat endpoint configuration as code that is version controlled and peer reviewed, rather than clicking in consoles Go deep on macOS internals such as launchd, configuration profiles, TCC, and system extensions Write Python and shell scripts Write design docs and runbooks so teammates can review and support what you build Strong candidates may also have Have operated an MDM or device management platform as a service, not only consumed one as SaaS Have worked with open source endpoint and device management tooling (Munki, osquery, AutoPkg) Have built automated, progressive rollout systems with promotion gated on telemetry Have experience running infrastructure as code in a public cloud Have working knowledge of Linux administration (packaging, systems, config management) Have used LLMs to automate ops work Deadline to apply: None. Applications will be received on a rolling basis. 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: $285,000 — $325,000 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, Worldwide; Poland; Czech Republic; Germany; Italy; Spain; Portugal; United Kingdom; Canada Workplace: remote About Welo Global  Welo Global is a leader in multilingual AI, technology, and content solutions serving over 2,000 clients in 300 languages. The company combines globally scaled multilingual infrastructure, including a network of over 500,000 linguists and domain experts, with advanced NLP, computational linguistics, and best-in-class compliance backed by seven ISO certifications. Welo Global’s five brands—Welocalize (multilingual content and localization services for global enterprises), Park IP (intellectual property and patent translation services for law firms and corporate legal teams), Welo Life Sciences (regulated language and compliance-aligned content solutions for pharmaceutical, biotech, and medical device organizations), Adapt (multilingual performance-led digital marketing agency), and Welo Data (multilingual data generation, evaluation, and human data infrastructure for AI systems)—serve distinct customer segments with purpose-built expertise, fit-for-purpose solutions, and supporting technology. weloglobal.com  The Role  We are seeking an experienced English into Ukrainian Review Lead to serve as the language quality owner and primary client-facing linguistic expert for a leading global technology client.  You will own the locale’s interpretation of the client’s quality standards and make sure that the Post-Editing Lead, Post Editors, and Reviewers all work to the same shared understanding of “good”. You will be the main point of contact for the client’s Language Manager on quality discussions, arbitration, and escalations, and you will drive consistency, quality governance, and continuous improvement across UI, marketing, product, informational, legal, and support content.  Project Details  - Location: Remote (based in one of the approved countries below) - Expected volume: Approximately 24 hours per month - Employment type: Freelance / Independent Contract - Task type: Language Lead Support - Content types: UI, Marketing, Informational, Legal, Product, Support - Language pair: English into Ukrainian  What You Will Do  -Analyse requirements: Review every style guide and glossary update, assess which quality categories and content types it affects, and record the changes. Track what the client’s Language Manager actually corrects and says in calibration and quality calls, not only what is written down. -Relay expectations: Run regular alignment roundtables with the language community and publish a structured monthly quality digest covering performance, priority improvement areas, style guide updates, and notable errors and arbitration outcomes. -Manage review quality actively: Coach Reviewers one-to-one using specific examples, run shadowing sessions, and deliver training built from real alignment data. -Improve the standard: Turn recurring justification patterns into well-reasoned style guide proposals, and share cross-locale patterns with the Welocalize Quality Manager. -Maintain alignment with the client: Treat Language Manager decisions as the standard, raise concerns with evidence at the right forum, and aim for fewer surprises over time. What You Will Own -The locale’s review service score, including RQE audit and alignment performance -The community’s shared understanding of quality  -The integrity of the arbitration record, ensuring that every arbitration sent to the client is valid and well-evidenced -The working relationship with the client’s Language Manager, including clarifications, escalations, and expectation tracking Requirements - Experience: 3 to 5+ years in Localization Quality Assurance (LQA), Senior Language Lead, or Quality Governance roles - Client and stakeholder management: Direct experience as the primary point of contact for client Language Managers, managing formal arbitration or escalation processes, and facilitating conflict resolution - Quality audit frameworks: Deep, practical experience with localization evaluation frameworks, including RQE, LQE, error rubrics, and severity mapping - Style guide and expectation analysis: Ability to analyse style guide changes, identify implicit client expectations, and map tolerance by content type (for example, Marketing vs. Legal vs. UI) - Meeting facilitation: Hands-on experience with one-to-one coaching, shadowing sessions, alignment roundtables, and structured monthly quality reporting - Analytical approach: Skill in tracking error concentrations, severity drift, and alignment scores, and in converting justification patterns into style guide improvements - Language: Native-level Ukrainian and professional-level English - Preferred: Prior experience supporting major technology localization programs and working with calibration or alignment tools Additional Key Information  - Successful candidates will be provided with a dedicated device for project work. - A background check is required as part of onboarding. - Candidates must be physically located in one of the approved countries. Approved countries: Argentina, Australia, Austria, Belgium, Brazil, Bulgaria, Canada, Chile, China, Colombia, Costa Rica, Croatia, Czech Republic, Denmark, Egypt, El Salvador, Finland, France, Germany, Ghana, Greece, Guatemala, Hong Kong, Hungary, India, Indonesia, Ireland, Israel, Italy, Japan, Kenya, Lithuania, Malaysia, Mexico, Netherlands, New Zealand, Nigeria, Norway, Peru, Philippines, Poland, Portugal, Qatar, Romania, Saudi Arabia, Singapore, South Africa, South Korea, Spain, Sweden, Switzerland, Taiwan, Thailand, Turkey, United Arab Emirates, United Kingdom, United States and Vietnam.   Why Join Us  This role offers a long-term partnership with global teams on high-visibility products. You will benefit from steady project volume, comprehensive onboarding and ongoing upskilling, and access to established linguistic resources.  If this sounds like the right opportunity, we would love to hear from you.

Location: United Kingdom; Poland; Portugal; France; Spain; Germany; Italy Recognised on the 2025 Forbes Cloud 100 list, ClickHouse is one of the most innovative and fast-growing private cloud companies. With more than 3,000 customers and ARR that has grown over 250 percent year over year, ClickHouse leads the market in real-time analytics, data warehousing, observability, and AI workloads. The company’s sustained, accelerating momentum was recently validated by a $400M Series D financing round. Over the past three months, customers including Capital One, Lovable, Decagon, Polymarket, and Airwallex have adopted the platform or expanded existing deployments. These customers join an established base of AI innovators and global brands such as Meta, Cursor, Sony, and Tesla. We’re on a mission to transform how companies use data. Come be a part of our journey! ABOUT THE TEAM The AI/ML Engineering team builds and operates ClickHouse's AI and machine learning products end-to-end. This includes the Agentic Data Stack, AI Functions, chDB, the in-Console copilot, and the AI/ML partnerships that distribute them — together with the shared components and expertise that let every other ClickHouse team ship AI in the surfaces they own. Our team is looking for highly skilled and experienced software engineers to join us, who will be responsible for designing, building, and operating the products that make ClickHouse the platform of choice for agents and data scientists.   WHAT YOU WILL DO - Feature Development: Design and implement AI-powered features across the full stack, from backend inference services to intuitive frontend interfaces within the ClickHouse Cloud platform. - API Architecture: Create robust, scalable APIs that connect ClickHouse's database capabilities with modern AI/ML inference systems and external/internal AI services. - Ecosystem Integrations: Implement and maintain integrations with the broader AI/ML ecosystem and standards, ensuring that ClickHouse as a technology works seamlessly with popular frameworks and tools. - Technical Integration: Integrate models into production systems with proper monitoring, versioning, observability, and evaluation. - Oncall: Participate in the daytime oncall rotation along with the rest of the team. - ML Engineering: Own the ML pipeline end to end (data, training, evaluation), and fine-tune or train custom models when off-the-shelf ones fall short. Track the state of the art closely enough to apply what genuinely improves our products. WHAT YOU WILL BRING ALONG - 5+ years of software engineering experience in production environments - Exposure to working directly with AI/ML technologies - Experience integrating and deploying AI/ML models in production systems, including working with inference APIs and vector databases - A high level of ownership and can drive features from concept to production with minimal supervision - Ability to thrive in collaborative environments and can effectively communicate technical concepts to diverse stakeholders - Applied ML experience in Python (Jupyter, PyTorch, common ML libraries), hands-on with compute clusters (Ray, Slurm), and designs trustworthy experiments to drive architectural decisions Nice to have - Familiarity with cloud technologies such as AWS, Azure, or GCP, particularly services related to AI/ML deployment - Understanding of database systems and data processing pipelines, with ClickHouse experience being a significant plus - Experience with embedding-based systems (retrieval, ranking, recommenders) and the representation-learning ideas underneath them PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new team member who joins our company receives stock options. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

Location: New York; Detroit; Canada; Austin; Phoenix; Los Angeles; San Francisco; Dallas Workplace: Remote Recognized on the 2025 Forbes Cloud 100 list, ClickHouse is one of the most innovative and fast-growing private cloud companies. With more than 3,000 customers and ARR that has grown over 250 percent year over year, ClickHouse leads the market in real-time analytics, data warehousing, observability, and AI workloads. The company’s sustained, accelerating momentum was recently validated by a $400M Series D financing round. Over the past three months, customers including Capital One, Lovable, Decagon, Polymarket, and Airwallex have adopted the platform or expanded existing deployments. These customers join an established base of AI innovators and global brands such as Meta, Cursor, Sony, and Tesla. We’re on a mission to transform how companies use data. Come be a part of our journey! ABOUT THE TEAM The AI/ML Engineering team builds and operates ClickHouse's AI and machine learning products end-to-end. This includes the Agentic Data Stack, AI Functions, chDB, the in-Console copilot, and the AI/ML partnerships that distribute them — together with the shared components and expertise that let every other ClickHouse team ship AI in the surfaces they own. Our team is looking for highly skilled and experienced software engineers to join us, who will be responsible for designing, building, and operating the products that make ClickHouse the platform of choice for agents and data scientists. WHAT YOU WILL DO - Feature Development: Design and implement AI-powered features across the full stack, from backend inference services to intuitive frontend interfaces within the ClickHouse Cloud platform. - API Architecture: Create robust, scalable APIs that connect ClickHouse's database capabilities with modern AI/ML inference systems and external/internal AI services. - Ecosystem Integrations: Implement and maintain integrations with the broader AI/ML ecosystem and standards, ensuring that ClickHouse as a technology works seamlessly with popular frameworks and tools. - Technical Integration: Integrate models into production systems with proper monitoring, versioning, observability, and evaluation. - Oncall: Participate in the daytime oncall rotation along with the rest of the team. - ML Engineering: Own the ML pipeline end to end (data, training, evaluation), and fine-tune or train custom models when off-the-shelf ones fall short. Track the state of the art closely enough to apply what genuinely improves our products. WHAT YOU WILL BRING ALONG - 5+ years of software engineering experience in production environments - Exposure to working directly with AI/ML technologies - Experience integrating and deploying AI/ML models in production systems, including working with inference APIs and vector databases - A high level of ownership and can drive features from concept to production with minimal supervision - Ability to thrive in collaborative environments and can effectively communicate technical concepts to diverse stakeholders - Applied ML experience in Python (Jupyter, PyTorch, common ML libraries), hands-on with compute clusters (Ray, Slurm), and designs trustworthy experiments to drive architectural decisions Nice to have - Familiarity with cloud technologies such as AWS, Azure, or GCP, particularly services related to AI/ML deployment - Understanding of database systems and data processing pipelines, with ClickHouse experience being a significant plus - Experience with embedding-based systems (retrieval, ranking, recommenders) and the representation-learning ideas underneath them PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new team member who joins our company receives stock options. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

Location: Germany, Berlin Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Role Overview: We are looking for a Staff Software Engineer to help shape and build the next generation of our network automation platforms. Our challenge is one of scale, complexity and criticality. We operate a massive global network supporting PlayStation Network, spanning more than 40 interconnection locations and 20+ data centres worldwide. Operating infrastructure at this scale safely and efficiently requires us to move beyond specialist-driven workflows and individual automation tools toward reliable, declarative software platforms. You will help make that transition. You will work on software that turns complex network and infrastructure operations into reliable, API-driven and increasingly self-service capabilities. This includes building control-plane services, declarative APIs and intent-based controllers that manage production infrastructure safely and consistently across our global footprint. This is a Staff-level engineering role with significant technical influence. You will combine hands-on engineering with setting technical direction: defining architectures, solving complex cross-system and distributed-systems problems, writing designs, driving alignment with senior engineers and architects, and mentoring engineers across the team. Your work will directly influence how one of the world's largest gaming networks is operated and automated, while establishing engineering patterns and platforms that can be reused across multiple network domains and services. What you'll be doing: Provide technical leadership and architectural direction for network automation and infrastructure control platforms, treating the self-service network API as a product by working with users and partner teams to define outcomes, establish clear expectations for API behavior and reliability, align on team responsibilities, and ensure those commitments are met. Use domain-driven design with network experts, software engineers and API consumers to establish shared language and bounded contexts, then turn those agreements into versioned, testable contracts. Design and build APIs, services, controllers and reconciliation workflows that manage production infrastructure safely at scale. Build on the Kubernetes API, including custom resources and control loops that continuously converge actual state toward declared intent. Own the operational Kubernetes path: CRD rollout, RBAC and admission, controller health, Helm packaging, deployment drift and incident diagnosis. Design distributed workflows that operate correctly under eventual consistency, at-least-once delivery, concurrent writes and partial failure, with idempotency and safe recovery as fundamental properties. Design stable APIs, schemas and data models used across team boundaries, including versioning and backwards compatibility. Develop patterns for multi-tenant infrastructure platforms, including tenant isolation, authorization, policy enforcement and safe automation boundaries. Establish strong approaches to testing, observability and change safety for software that changes live infrastructure. Improve software delivery practices through automated CI gates, versioned artifacts, controlled promotion, and safe deployment and recovery strategies. Lead complex migrations and modernization of existing automation, services and data models, evaluating when components should be evolved, replaced or rewritten, and ensuring safe coexistence, behavioral compatibility and retirement of legacy paths. Drive technical alignment across software engineering, networking, operations and architecture teams; lead decisions within your area of accountability, contribute constructively to decisions owned by others, and make technology choices based on long-term company and product value. Mentor engineers, lead technical and design reviews, and raise software engineering standards across the wider organization. What we're looking for: Must have Deep expertise in a backend language such as Python, Go, Rust or Java, including asynchronous concurrency, static typing, data modelling and validation, API development, packaging and tooling. Strong experience building Kubernetes controllers or operators, including custom resources and reconciliation/control-loop patterns. Strong experience building event-driven distributed systems, particularly eventual consistency, at-least-once delivery, idempotency, optimistic concurrency and partial-failure handling. Experience designing and building self-service, multi-tenant platforms, including tenant isolation, policy and access control. Strong API and schema design skills, including versioning and schema evolution for interfaces consumed by other teams and systems. Demonstrated technical leadership across team boundaries, including driving architectural designs, building agreement among senior technical stakeholders and mentoring other engineers. A track record of taking ambiguous, technically complex problems from architecture through to reliable production systems that manage large-scale infrastructure, such as networks, compute or cloud resources. Nice to have Networking fundamentals, particularly BGP, IP fabrics and VXLAN/EVPN/L3VPN. Working knowledge of Go, sufficient to understand and contribute to adjacent services and controllers. Experience designing testing and observability strategies for production infrastructure automation, including systems and backends that cannot be fully reproduced in CI. Experience with graph databases, or with source-of-truth systems that model infrastructure and its relationships. The impact You will help establish the architecture and engineering practices behind a new generation of network automation, moving from individual scripts and specialist-driven workflows toward declarative, model-driven and reliable platforms. At Staff level, your impact is expected to extend beyond the code you personally deliver. You will help shape the APIs and designs other teams build on, develop other engineers, and establish technical patterns that can be reused across multiple network domains and services. Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: São Paulo, Brazil Why Join Exadel We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks. From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next. What powers it all? Our people are ambitious, collaborative, and constantly evolving. About the Client A major Brazilian financial institution specializing in investment banking, wealth management, and corporate lending. The customer develops secure digital banking platforms and financial solutions to serve a diverse global client base. What You’ll Do Administer, support, and optimize critical database environments, with a primary focus on SQL Server Maintain database availability, performance, security, integrity, and resilience Monitor database health, performance, capacity, and resource utilization Perform performance tuning and optimize SQL queries, indexes, execution plans, and database structures Conduct capacity planning and recommend improvements based on projected growth and business demand Troubleshoot and resolve complex database, application, and infrastructure issues Implement and manage backup, restore, replication, contingency, and recovery strategies Support Disaster Recovery planning, testing, and execution Participate in database migration and modernization projects, particularly within AWS environments Support the evolution of database architectures, administration standards, and technical best practices Collaborate with Development, Infrastructure, Cloud, Security, and Architecture teams Support development teams with SQL query optimization and physical data modeling Identify opportunities to automate recurring database-administration activities Improve operational efficiency through automation, monitoring, and standardized procedures Maintain technical documentation, operational procedures, and recovery runbooks Participate in incident response and problem-management activities for critical environments What You Bring Middle-level experience in database administration Strong hands-on expertise with Microsoft SQL Server Experience supporting critical, large-scale, or mission-critical database environments Experience working within banking or financial-services environments Strong knowledge of high availability, database security, performance optimization, and Disaster Recovery Experience working with cloud and hybrid environments, preferably AWS Hands-on experience with backup, restore, replication, contingency, and environment-recovery processes Strong SQL troubleshooting and performance-tuning skills Experience optimizing queries, indexes, execution plans, and database structures Understanding of capacity planning, monitoring, and database-health management Knowledge of infrastructure, operating systems, storage, and networking Experience supporting database migrations or modernization initiatives Ability to diagnose and resolve complex technical issues Bachelor’s degree in Information Technology, Computer Science, Engineering, or a related field Analytical, proactive, collaborative, and solution-oriented mindset Nice to have Experience with Oracle, PostgreSQL, or MySQL Knowledge of NoSQL databases Experience with Python, PowerShell, or other automation and scripting technologies Microsoft, AWS, or comparable technical certifications Experience working with Infrastructure as Code or automated cloud-provisioning tools Familiarity with Agile methodologies English level Advanced Work Type: Hybrid Location: São Paulo, Brazil Legal & Hiring Information Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more Reasonable accommodations are available to enable individuals with disabilities to perform essential functions Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs Compensation details are shared with candidates at the early stage of the recruitment process. The offer is not binding until a signed contract is in place. Your Benefits at Exadel Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details. International projects In-office, hybrid, or remote flexibility Medical healthcare Recognition program Ongoing learning & reimbursement Well-being program Team events & local benefits Sports compensation Referral bonuses Top-tier equipment provision Exadel Culture We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.

Location: Paris Workplace: OnSite ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. Role Summary  As our M&A & Equity Financing Legal Counsel, you will work directly under the Head of M&A and Finance Legal Counsel, based in Paris. In close collaboration with our Business and Finance teams, you will play a key role in structuring, drafting and negotiating Mistral’s external growth transactions and equity fundraisings. Mistral operates at the frontier of AI, where the pace of innovation demands transaction execution speed and precision that match the technology itself. You will help shape the growth and business relationships that will define Mistral’s next chapter. Key responsibilities - Draft, negotiate and advise on a wide range of M&A transactions, including acquisitions, acqui-hires and other internal or external growth projects worldwide. - Take an active part in every stage of M&A transactions: deal structuring, due diligence, negotiations, signing and closing. - Coordinate the process for Mistral’s equity fundraisings, including legal communication with prospective investors, structuring the company's due diligence disclosure, drafting investment documentation and leading the signing and closing of equity fundraisings. - Coordinate and assist on Mistral’s secondary sale transactions on behalf of investors and employees. - Draft, negotiate, and advise on transaction documentation, including LOIs, NDAs, SPAs, shareholders' agreements, investment agreements, and other ancillary transaction documents. - Collaborate with cross-functional teams, including other corporate functions. - Build internal templates, practices, and guidelines for M&A and equity financing documentation. - Support on other legal topics as needed, particularly on compliance matters related to corporate affairs. Qualifications and skills - Bachelor's degree or above (LLB, LLM or Juris Doctor preferred) from an accredited law school in France or another EU country. Admission to practice law in at least one additional jurisdiction, in particular the USA or the UK, would be a plus. - A minimum of 4–5 years of relevant legal experience, including at least 3 years at an international law firm. - Substantial experience in M&A, VC and/or equity financing transactions, including hands-on experience working on large- to mid-cap acquisitions, from due diligence through signing and closing. - Familiarity with VC/PE-type transaction documentation is highly valued: you understand complex shareholders’ agreements, management and employee incentive packages, as well as the governance dynamics of venture-backed and PE-backed companies. - Excellent written and verbal communication in both English and French, with a strong ability to present complex legal concepts clearly to non-legal stakeholders. - Knowledge and understanding of artificial intelligence technologies, including machine learning, natural language processing and their applications. - Adaptability: proactive, flexible, eager to learn and able to manage multiple priorities in a fast-paced environment. - Ethical awareness: a strong understanding of ethical considerations related to AI, such as fairness, transparency, accountability, and bias mitigation. 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: Limassol, Cyprus Workplace: on-site Mayflower is a technology company building large-scale entertainment products for a global audience. Our platforms serve millions of users worldwide and rank among the top-50 most visited websites globally. For more than 10 years, we've been creating reliable, high-performance solutions at the intersection of product, engineering, and entertainment. Job Responsibilities Ensure hygiene and food-safety rules are followed throughout food production. Monitor and records temperatures for refrigerators, freezers, cooking, cooling, and transport. Check the cleanliness of staff, equipment, production areas, and delivery vehicles. Ensure proper allergen control and prevention of cross-contamination. Check expiry dates, labels, traceability, and correct food storage. Prepare and files HACCP records and documents. Monitor staff compliance with hygiene procedures and reports violations to management or the Executive Chef. Receive ingredients and checks quantities, quality, temperatures, expiry dates, and package condition. Record deliveries and organise dry storage, refrigerators, and freezers. Apply FIFO (First In, First Out) and FEFO (First Expired, First Out). Assist with purchasing orders. Maintain food at the correct storage conditions and temperatures. Issue ingredients to the kitchen according to production needs. Conduct stock counts, tracks shortages, and reports ordering needs. Control losses, expired goods, and waste. Keep storage areas clean, safe, organised, and properly labelled. Propose improvements to storage, labelling, FIFO/FEFO rotation, traceability, ordering, waste control and food-safety procedures. You will thrive if you have… 2+ years of experience in food safety, receiving, quality control, or storekeeping in a commercial kitchen, hotel, catering company, or food production facility. Hands-on experience maintaining HACCP documentation, temperature logs, and traceability records. Experience dealing with food suppliers, delivery inspections, and inventory audits. Proficiency in FIFO (First In, First Out) and FEFO (First Expired, First Out) rotation methods. Knowledge of safe temperature zones for receiving, cooking, cooling, holding, and transporting food. Basic computer skills Ability to stand, walk, bend, lift, and carry heavy boxes/crates (up to 15–20 kg) during receiving. Comfortable working in cold-storage environments (walk-in refrigerators and freezers) for stock checks and organization. Meticulous approach to reviewing labels, expiry dates, temperature readouts, and package conditions. Ability to enforce hygiene standards, reject sub-standard supplier deliveries, and report compliance violations directly to management or the Executive Chef. Good working knowledge of English Conditions We know that great talent deserves great conditions, so here's what you can expect when joining us: EU-based employment contract. Transparent performance reviews once a year and salary adjustments. Private medical insurance for you and your family, a corporate mobile plan (unlimited in Cyprus with roaming included), and interest-free support for car purchases. Provident fund (Cyprus): a long-term savings plan co-funded by you and the Company together (available after probation) that grows throughout your time with us in Cyprus. 21 days vacation leave & 10 days paid sick leave. Mindfulness & well-being support, including psychological assistance with 50% coverage. 50% coverage of school and kindergarten fees for your children. Fully covered sports benefits, and also access to in-house electric scooters and bike rentals. Investment in your growth: paid language courses and access to suited-for-you development programs, including conferences, training programs, and coaching to support your professional journey. A fully equipped office in Limassol, with everything you need for deep work and collaboration. Free catering in the office and an in-house coffee bar with high-quality drinks and a health bar stocked with nutritious snacks. Benefits are provided in accordance with the company's policies and eligibility criteria. Recruitment process: HR Interview On-site Interview with the hiring team

• Экспертиза в Linux, Docker.