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Location: Croatia Workplace: Remote OUR VISION & PRODUCTS 🚀 EverAI — Building the Future of AI Companionship One of the Top 15 Largest & Fastest-Growing AI Companies in the World 50 Million Users in 2 years — Help Us Reach 100M first, 500M next At EverAI, we’re shaping what it means to connect with AI. With 50 million users and counting, we're not just building products — we're creating entirely new categories. Our flagship product is the world’s largest AI companionship platform, redefining relationships for millions. It is governed by our proprietary moderation system, EverGuard — an internal AI designed to ensure everything we build is safe, ethical, and human-first. And we’re only just getting started! OUR TEAM We are an enthusiastic, passionate and hardworking team of ≈ 100 people. Our founding team has strong entrepreneurial experience building and scaling web products from 0 to IPO. Alexis Soulopoulos [CEO] • 10+ years in Tech Executive Leadership • Co-Founder Mad Paws Holdings (from 0 to IPO) • Forbes 30 under 30 + Deloitte TechFast50 ’22 & ‘23 Michael Monin [Co-founder & CTO] • 10+ years as CTO / COO (web2/web3), 3 years in AI/LLM • Serial-entrepreneur: MTK Digital (exited / 0->$20m revenue) and Zipchat (AI Chatbot for E-commerce brands) Thomas Lacroix [Co-founder & CMO] • 8+ years in Customer Acquisition & E-commerce Growth • Serial-entrepreneur: Curatible (sold to Blackstone) and MTK Digital (exited / 0->$20m revenue) Maruša Fasano [CFO/Legal] • 25+ years in Finance, Strategy, M&A • Ex-CFO/M&A @Curatible (exited to Blackstone) • Ex-President of the Board @SotremoSA (exited) • Co-founder/CFO @SoftOne (exited) YOUR ROLE We scaled to 50 million users in just 2 years with a lean team of 100 people. Last year, we doubled our headcount. Now, we’re scaling again, and the next hires will shape what EverAI looks like at 100+ people. As our third Talent Acquisition Specialist, you’ll be central to that build, as you’re joining at a defining stage. You’ll work closely with our CEO, Alexis, and partner with leaders across the business to help assemble the team behind one of the fastest-growing AI products globally. We hire internationally and across every function of the company, with a strong focus on tech, bringing together people from leading tech hubs around the world. You’ll also have the opportunity to influence how Talent Acquisition evolves as we grow: refining our internal workflows, experimenting with new AI tools, launching employer branding initiatives, testing sourcing strategies that keep our quality bar high, and so on. KEY MISSION Identify, attract, and land top global talent, while helping build a recruitment stack that matches the scale and ambition of a company serving 50M users worldwide. KEY RESPONSIBILITIES You will be responsible for: TALENT MAPPING & SOURCING: - Global Talent Scouting: Help map and engage elite talent from Tier 1 tech hubs and companies worldwide. You’ll identify and connect with candidates who aren’t actively applying through thoughtful outreach and strong networking. - Smart Sourcing: Support the implementation of an AI-first recruitment stack. You’ll use tools, from AI agents to niche technical communities and unconventional channels, to help us find exceptional talent - Relationship Building: Maintain long-term relationships with passive talent globally to ensure we stay ahead of hiring needs as we continue scaling CANDIDATE EXPERIENCE & EVALUATION: - World-Class Candidate Experience: Own the candidate journey from the first discovery call to the final close. Ensure every interaction with EverAI, whether candidates join us or not, is clear, respectful, and high-quality - Interviews and Screenings: Conduct structured interviews to assess technical aptitude and cultural alignment, and provide concise, actionable summaries for Hiring Managers and Leadership PROCESS INNOVATION & COLLABORATION: - Hiring Operations: Work closely with Founders and Team Leads to improve hiring workflows, remove friction, and strengthen how we operate as we grow past 100+ employees - Employer Branding and other Initiatives: Contribute to creative initiatives and content that position EverAI as the #1 destination for the world’s best AI talent YOUR QUALIFICATIONS MUST-HAVES - Minimum 3 years of experience in recruitment, with at least 2 years in tech recruitment - Experience working in a start-up or scale-up environment - Global sourcing experience: You have a track record of helping attract talent from major tech hubs (USA, EU, LATAM, etc.) - Familiarity with Applicant Tracking Systems (ATS) and other recruitment tools - You thrive in a high-trust environment where you are empowered to learn, improve processes, and make an impact OTHERS 🗣 Strong communication & collaborative skills (perfectly fluent in English) 🎯 Goal-oriented, ownership and commitment ⚡️ Doer mindset - we are moving fast and we need people who can find the right balance between executing, planning and strategy 🧢 Humble - willing to learn, open to feedback 🍭 #NSFW - you are comfortable hiring for products that are based on uncensored models and content BONUS POINTS - Experience in AI recruitment or familiarity with the AI space - Exposure to employer branding, compensation benchmarking, or broader TA initiatives WHY EVERAI? 📈 Exponential Growth: From 50M users in 2 years, to 100M next — and 500M beyond 🚀 Track Record of Category-Creating Innovation: We consistently launch world-first AI applications — setting the pace, not following it 🌍 Global Impact: Top-tier user growth, real-world adoption, and cultural relevance 🧠 Proven Leadership: A senior team that’s launched, scaled, and exited & IPO’d multiple scale ups — now fully focused on reshaping AI companionship 👥 Elite Remote Team: 100% remote and built to win — world-class talent from Tier 1 tech companies, with a culture of ownership, velocity, and radical creativity 🛡️ Ethical Core: Our AI ecosystem is governed by EverGuard, our proprietary AI moderation technology, ensuring responsible development at scale WHAT WE OFFER ✍️ Contract Type: We prefer B2B, but we’re flexible, what matters is long-term commitment and impact 📍 Work From Anywhere: Fully remote. Choose the environment where you do your best work 🏝️ Paid Time Off: 4 weeks (20 working days) of PTO per year to recharge and reset 👨‍👩‍👧‍👦 Annual Gathering: A yearly in-person meetup to connect, brainstorm, and celebrate wins together ❤️‍🩹 Health & Wellness Support: Monthly allowance of 100 USD for health insurance expenses & access to unlimited 1:1 sessions with psychologists and lifestyle experts through OpenUp (also available to up to three of your family members) 🏢 Co-Working Space Budget: Work from a co-working space up to twice per month (35 EUR / 40 USD per visit) to stay inspired and connected 📚 Learning Budget: Dedicated funds to support your professional growth: courses, books, conferences, events, or certifications 💻 Company Laptop & Equipment: Laptop provided + monitor budget up to 250 USD + keyboard/mouse/mic/headphones budget up to 150 USD ⚡ AI Tools Access: Premium access to ChatGPT, Hugging Face, Claude Code, and any other tool needed to excel at your job, power your ideas and workflows 🎯 TOP TIER TALENT IS OUR MULTIPLIER We’re a fully remote group of A-players from Tier 1 tech, led by an exec team who’ve launched, scaled, and exited multiple companies. We move fast, and care deeply about what we build — and who we build it with. We’re looking for exceptional talent ready to ship & distribute world-first AI products at scale, fast, and co-create with us this category-defining business. If that’s you — reach out and apply!

Location: Poland Workplace: Remote OUR VISION & PRODUCTS 🚀 EverAI — Building the Future of AI Companionship One of the Top 15 Largest & Fastest-Growing AI Companies in the World 50 Million Users in 2 years — Help Us Reach 100M first, 500M next At EverAI, we’re shaping what it means to connect with AI. With 50 million users and counting, we're not just building products — we're creating entirely new categories. Our flagship product is the world’s largest AI companionship platform, redefining relationships for millions. It is governed by our proprietary moderation system, EverGuard — an internal AI designed to ensure everything we build is safe, ethical, and human-first. And we’re only just getting started! OUR TEAM We are an enthusiastic, passionate and hardworking team of ≈ 100 people. Our founding team has strong entrepreneurial experience building and scaling web products from 0 to IPO. Alexis Soulopoulos [CEO] • 10+ years in Tech Executive Leadership • Co-Founder Mad Paws Holdings (from 0 to IPO) • Forbes 30 under 30 + Deloitte TechFast50 ’22 & ‘23 Michael Monin [Co-founder & CTO] • 10+ years as CTO / COO (web2/web3), 3 years in AI/LLM • Serial-entrepreneur: MTK Digital (exited / 0->$20m revenue) and Zipchat (AI Chatbot for E-commerce brands) Thomas Lacroix [Co-founder & CMO] • 8+ years in Customer Acquisition & E-commerce Growth • Serial-entrepreneur: Curatible (sold to Blackstone) and MTK Digital (exited / 0->$20m revenue) Maruša Fasano [CFO/Legal] • 25+ years in Finance, Strategy, M&A • Ex-CFO/M&A @Curatible (exited to Blackstone) • Ex-President of the Board @SotremoSA (exited) • Co-founder/CFO @SoftOne (exited) YOUR ROLE We scaled to 50 million users in just 2 years with a lean team of 100 people. Last year, we doubled our headcount. Now, we’re scaling again, and the next hires will shape what EverAI looks like at 100+ people. As our third Talent Acquisition Specialist, you’ll be central to that build, as you’re joining at a defining stage. You’ll work closely with our CEO, Alexis, and partner with leaders across the business to help assemble the team behind one of the fastest-growing AI products globally. We hire internationally and across every function of the company, with a strong focus on tech, bringing together people from leading tech hubs around the world. You’ll also have the opportunity to influence how Talent Acquisition evolves as we grow: refining our internal workflows, experimenting with new AI tools, launching employer branding initiatives, testing sourcing strategies that keep our quality bar high, and so on. KEY MISSION Identify, attract, and land top global talent, while helping build a recruitment stack that matches the scale and ambition of a company serving 50M users worldwide. KEY RESPONSIBILITIES You will be responsible for: TALENT MAPPING & SOURCING: - Global Talent Scouting: Help map and engage elite talent from Tier 1 tech hubs and companies worldwide. You’ll identify and connect with candidates who aren’t actively applying through thoughtful outreach and strong networking. - Smart Sourcing: Support the implementation of an AI-first recruitment stack. You’ll use tools, from AI agents to niche technical communities and unconventional channels, to help us find exceptional talent - Relationship Building: Maintain long-term relationships with passive talent globally to ensure we stay ahead of hiring needs as we continue scaling CANDIDATE EXPERIENCE & EVALUATION: - World-Class Candidate Experience: Own the candidate journey from the first discovery call to the final close. Ensure every interaction with EverAI, whether candidates join us or not, is clear, respectful, and high-quality - Interviews and Screenings: Conduct structured interviews to assess technical aptitude and cultural alignment, and provide concise, actionable summaries for Hiring Managers and Leadership PROCESS INNOVATION & COLLABORATION: - Hiring Operations: Work closely with Founders and Team Leads to improve hiring workflows, remove friction, and strengthen how we operate as we grow past 100+ employees - Employer Branding and other Initiatives: Contribute to creative initiatives and content that position EverAI as the #1 destination for the world’s best AI talent YOUR QUALIFICATIONS MUST-HAVES - Minimum 3 years of experience in recruitment, with at least 2 years in tech recruitment - Experience working in a start-up or scale-up environment - Global sourcing experience: You have a track record of helping attract talent from major tech hubs (USA, EU, LATAM, etc.) - Familiarity with Applicant Tracking Systems (ATS) and other recruitment tools - You thrive in a high-trust environment where you are empowered to learn, improve processes, and make an impact OTHERS 🗣 Strong communication & collaborative skills (perfectly fluent in English) 🎯 Goal-oriented, ownership and commitment ⚡️ Doer mindset - we are moving fast and we need people who can find the right balance between executing, planning and strategy 🧢 Humble - willing to learn, open to feedback 🍭 #NSFW - you are comfortable hiring for products that are based on uncensored models and content BONUS POINTS - Experience in AI recruitment or familiarity with the AI space - Exposure to employer branding, compensation benchmarking, or broader TA initiatives WHY EVERAI? 📈 Exponential Growth: From 50M users in 2 years, to 100M next — and 500M beyond 🚀 Track Record of Category-Creating Innovation: We consistently launch world-first AI applications — setting the pace, not following it 🌍 Global Impact: Top-tier user growth, real-world adoption, and cultural relevance 🧠 Proven Leadership: A senior team that’s launched, scaled, and exited & IPO’d multiple scale ups — now fully focused on reshaping AI companionship 👥 Elite Remote Team: 100% remote and built to win — world-class talent from Tier 1 tech companies, with a culture of ownership, velocity, and radical creativity 🛡️ Ethical Core: Our AI ecosystem is governed by EverGuard, our proprietary AI moderation technology, ensuring responsible development at scale WHAT WE OFFER ✍️ Contract Type: We prefer B2B, but we’re flexible, what matters is long-term commitment and impact 📍 Work From Anywhere: Fully remote. Choose the environment where you do your best work 🏝️ Paid Time Off: 4 weeks (20 working days) of PTO per year to recharge and reset 👨‍👩‍👧‍👦 Annual Gathering: A yearly in-person meetup to connect, brainstorm, and celebrate wins together ❤️‍🩹 Health & Wellness Support: Monthly allowance of 100 USD for health insurance expenses & access to unlimited 1:1 sessions with psychologists and lifestyle experts through OpenUp (also available to up to three of your family members) 🏢 Co-Working Space Budget: Work from a co-working space up to twice per month (35 EUR / 40 USD per visit) to stay inspired and connected 📚 Learning Budget: Dedicated funds to support your professional growth: courses, books, conferences, events, or certifications 💻 Company Laptop & Equipment: Laptop provided + monitor budget up to 250 USD + keyboard/mouse/mic/headphones budget up to 150 USD ⚡ AI Tools Access: Premium access to ChatGPT, Hugging Face, Claude Code, and any other tool needed to excel at your job, power your ideas and workflows 🎯 TOP TIER TALENT IS OUR MULTIPLIER We’re a fully remote group of A-players from Tier 1 tech, led by an exec team who’ve launched, scaled, and exited multiple companies. We move fast, and care deeply about what we build — and who we build it with. We’re looking for exceptional talent ready to ship & distribute world-first AI products at scale, fast, and co-create with us this category-defining business. If that’s you — reach out and apply!

Location: Birżebbuġa, Malta; Gżira, Malta; Città Vittoriosa, Malta; Naxxar, Malta; Msida, Malta; Għaxaq, Malta; Birkirkara, Malta Workplace: hybrid At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking a Audit Manager to join one of our clients ' teams. If you're looking for an exciting opportunity to grow in a innovative environment, this could be the perfect fit for you. Specific responsibilities include but are not limited to: Provide management over a portfolio of clients and deliver high-quality audit and assurance service, including preparing and reviewing audit plans and work and signing off audit reports; Work to expand the client base and support business development activities; Achieve team and individual budgets and business plan/performance objectives; Manage project financials, including budgets, timely billing and collection, and variance recognition; Maintain the highest technical and professional standards; Think strategically about client needs by understanding their business and key risks; Address situations before they come to crises and develop solutions to avoid recurrence; Provide additional help and guidance to clients on a consultancy basis; Participate in the development of ways to meet client needs and contribute to proposed delivery; Identify ways to maximize the relationship with clients and deliver added value; Monitor and control auditing staff, including assisting auditing staff in their professional development; Take a leadership role in professional, business, or community organizations. Strong written and verbal English ; Strong written and verbal Maltese; In possession of an Auditor's warrant; An ACCA, ACA or a recognised Accounting University Degree; Knowledge of GAPSME, IFRS and International Auditing Standards; A minimum of 4+ years of audit experience managing a team, with IFRS 17 Audit Managerial experience will be considered an asset; Experience in external audit planning, risk and control identification, and performing, reviewing and directing external audit testing; Experience identifying and effectively reporting any issues and recommendations for improvement to clients; Capable of working within a team, managing multiple engagements and working to demanding deadlines; Be a smart, highly motivated, well-presented individual with an eye for detail; Have the ability to work under pressure. Check out some of Client’s benefits: Wellbeing & Work-Life Balance Commitment to ensuring a healthy work-life balance. Hybrid work arrangements and flexibility. Access to confidential mental health support services. A modern, safe, and comfortable workplace. Career Development & Learning Opportunities for career growth and advancement. Professional development through in-house and external training programmes. Free access to all courses on client’s Academy and Hub. Study leave to support your professional and academic development. Reward & Recognition Competitive salaries with annual salary reviews. Employee referral bonus ranging from €500 to €1,000 (T&Cs apply). Recognition and rewards for exceptional performance. Compensation for overtime worked (where applicable). Culture & Team Spirit A youthful, welcoming, and enjoyable work environment. Regular team-building and social activities throughout the year. An open-door policy with Seniors and Partners. Additional Benefits Job security within a growing international network. Complimentary Cloudigo Premium Malta membership, providing access to exclusive discounts and benefits across Malta.

Location: Belgrade; Lisbon Workplace: OnSite Aghanim is an integrated commerce, liveops automation, community engagement, and payments platform for video games.   Mobile games have traditionally depended on app stores for distribution, payments, and player relationships. We believe there is a better way. Aghanim helps game studios build direct relationships with players, sell directly, and build their future on their own terms. Today, more than 100 games worldwide are already building this future with Aghanim.   Our team brings together people across Los Angeles, New York, Seoul, Beijing, London, Lisbon, Belgrade and other locations around the globe, with deep expertise in gaming, fintech and technology. We move quickly, keep communication direct, and focus on getting things done. We believe the best people thrive when they have autonomy, ownership, and a stake in the company's success. [https://app.ashbyhq.com/api/images/user-content/4f457f07-466b-477b-b552-fbbabd850111/2de3a7cd-8843-41a9-8bbe-ceb897a42c4a/Logo%20(horizontal).svg] We’re looking for a hands-on DevSecOps Engineer to build security into our cloud infrastructure and delivery pipelines. You’ll work closely with DevOps and development teams to establish practical security standards as our platform grows. KEY RESPONSIBILITIES - Own cloud security on GCP: IAM, org policies, network security, and edge protection with Cloudflare. - Harden our GKE clusters and container supply chain. - Build automated security checks into CI/CD (SAST, dependency, container, and IaC scanning). - Own secrets management and least-privilege access across the platform. - Drive vulnerability and cloud posture management to remediation. - Build security monitoring and lead incident response. - Actively drive SOC 2 Type 2 and PCI DSS Level 1 work: implement controls, prepare evidence. REQUIRED QUALIFICATIONS - 5+ years in DevSecOps, cloud security, or a security-heavy DevOps/Platform role. - Strong production experience with GCP (AWS/Azure acceptable). - Hands-on experience securing Kubernetes and Terraform-managed infrastructure. - Practical knowledge of CI/CD security, cloud IAM, secrets, vulnerability management, and security monitoring. - Ability to build security practices from scratch and get teams to adopt them. - Strong English communication skills. NICE TO HAVE - Experience with Cloudflare, Datadog, Wiz, Drata, or GitHub Actions. - Prior SOC 2 or PCI DSS audit experience. - Background in payments, gaming, or high-load products. WHY JOIN US - World-class team – work alongside experienced professionals from around the globe who have built products used by millions of players - High growth, high impact – be part of a fast-growing company where ideas turn into products and reach customers in days, not months - Autonomy and ownership – we trust people to make decisions, take initiative, and drive results - Modern tools and technology – use AI, automation, and modern tools as part of your everyday work - Equity – participate in the company's growth and long-term success

Location: US (EST); Paris; France | Remote; US Workplace: Remote ABOUT MORPHO Morpho is a leading Decentralized Finance (DeFi) lending protocol backed by a16z crypto, Paradigm, Ribbit Capital, Apollo, Vaneck, Coinbase Ventures, Variant and 50 others to build an open credit network giving anyone, anywhere, access to the best possible terms. Morpho is experiencing exponential adoption, with over billion in deposits on the network and used by institutional clients including Bitwise, Galaxy, and Anchorage Digital and the largest crypto exchanges, such as Coinbase, Binance, and Kraken. Now, Morpho is scaling its team of contributors to establish itself as the open credit network, not just of DeFi, but of the world.   WHY MORPHO EXISTS Everyone has the potential to build something great for the world. But fulfilling that ambition almost always requires more: people willing to trust you with their capital. Yet access to capital still depends on where you live, who you know, and which institutions are willing to trust you. Even when capital is available, it sits fragmented across disconnected networks and hidden behind intermediaries. The result is a system that fails most of the people it should serve. Borrowers overpay. Lenders earn less than they should. Many are shut out entirely, not because they are unworthy of credit, but because today's infrastructure was never built to connect them. Morpho exists to solve this. Full article here https://morpho.org/blog/why-morpho-exists/. LOCATION New York preferred. Remote is possible between GMT-5 and GMT+2.   ROLE Banks, asset managers and token issuers are bringing stocks, funds and other real-world assets onchain. Those assets become far more useful once their holders can borrow against them and lend them out. Midnight, Morpho's fixed-rate, fixed-term lending protocol, gives institutions the predictable terms they need to do that.   This role owns the products that make Morpho the credit layer for institutional assets, spanning tokenized equities and funds as collateral, loans backed by assets held with a qualified custodian, and the onchain equivalents of repo and securities lending.   Close partnership with institutions is central to this role. You will develop a detailed understanding of how they operate across trading, custody and compliance, and translate their requirements into products that scale across many partners.   RESPONSIBILITIES   - Own the vision, strategy and roadmap for institutional credit on Morpho, end to end. - Act as Morpho's domain expert on the institutional market. Go deep with issuers, asset managers, banks, custodians and brokers on how they finance and lend assets, represent Morpho with them, and turn conflicting input into precise problem statements and requirements. - Decide which issuers and asset types come first, which wait and which Morpho declines, and make the trade-offs explicit. - Judge which partner-specific requests become standard capabilities many institutions can use, and make the build or partner call for each. - Work as a peer to the protocol team on design trade-offs, bringing legal and risk in early on custody, transfer restrictions, valuation and liquidation for each asset type. - Drive each initiative from problem definition through launch and adoption, across teams you do not manage. Define success before launch, measured in active loans.   WHAT SUCCESS LOOKS LIKE   First 30 days You understand Morpho's lending stack and what Midnight makes possible. You have met protocol, markets, vaults, solutions, business development and legal, and joined live conversations with issuers and asset managers. You have written down where the issuer product stands and what blocks its first launch.   First 3 months The first issuers are onboarding to a defined product with standard terms. You have a ranked view of the next two institutional loan types, backed by partner evidence, with named partners in conversation for each.   First 6 months Issuers are live and holders of their assets are borrowing. A second institutional loan type has a working proof of concept with real counterparties. New institutions onboard through a repeatable process, not a custom project.   MUST HAVE EXPERIENCE & SKILLS - Shipped products for institutional users in capital markets or securities finance: repo, securities lending, prime brokerage, collateral management, custody or tokenized assets. - A track record of taking a product from zero to one, where you found the opportunity and carried it through launch. - Working knowledge of how institutions hold, finance and lend assets, and of the regulatory and operational constraints that shape those products. - Comfortable leading conversations with senior people at banks, asset managers and issuers, and turning them into clear requirements. - Able to deliver through influence across teams, without a dedicated engineering team. - Clear writing and speaking for technical and non-technical audiences. - Creates clarity and drives decisions in ambiguous situations, and acts without waiting to be told. - Team-first mindset, low ego.   NICE TO HAVE - Experience with onchain lending, tokenization or digital asset custody. - Time on both sides: at a traditional financial institution and at a technology company. - Has been a founder, or owned a new product line end to end. PERKS & BENEFITS We design benefits around deep work and growth, so you can do the best work of your career. Expect fair, top-tier compensation, real flexibility, time together in Paris, great health coverage, and support to keep learning.   EQUAL OPPORTUNITY We welcome applicants from all backgrounds and hire based on talent, potential, and values alignment.

Location: Limassol, Cyprus About us We are an international financial group founded in 2016, regulated by CySEC and the Central Bank of Cyprus, combining a family-office approach with the infrastructure of a modern financial institution. The Group manages over €350M in assets and operates across Cyprus, the UAE, Switzerland, and the United States. We are expanding our Client Acquisition team and are looking for a Private Wealth Sales Manager to engage with high-net-worth and ultra-high-net-worth individuals. This role offers a clear path into Relationship Management and long-term career growth within wealth management and private banking. What you will do Proactively identify, approach, and qualify potential clients among HNW/UHNW individuals, entrepreneurs, business owners, and family offices Conduct initial meetings and present our ecosystem, including wealth management, digital assets, and corporate solutions Understand client needs, investment objectives, and risk profiles, and pass qualified leads to Relationship Managers Develop and maintain long-term, trust-based client relationships throughout extended sales cycles Maintain accurate CRM records and closely collaborate with internal teams to ensure a smooth client journey and onboarding process Requirements 1.Client-Facing Experience Experience in Business Development, Sales, Relationship Management, Client Acquisition, or similar client-facing roles within financial services. Experience working with affluent or HNW client segments is advantageous; however, we also welcome commercially driven professionals from related financial services backgrounds. 2. Financial Literacy & Investment Knowledge Good understanding of financial markets and basic investment principles is desirable. A background in finance, economics, banking, or related fields will be considered a strong advantage. Ability to understand client investment goals and confidently discuss financial markets, investment solutions, and different investment approaches with prospective clients. 3. Languages Fluent Russian and English (written and spoken) 4. Soft Skills & Personal Attributes High emotional intelligence and client sensitivity Strong communication and interpersonal skills with the ability to build trust-based    relationships with high-net-worth clients Self-starter mindset with strong ownership and independence Results-oriented mindset with a well-organized approach Resilience and ability to operate effectively in long and complex sales cycles Strong ethical standards and compliance awareness 5. Eligibility Right to work in Cyprus or willingness to relocate to Cyprus. Nice to Have CySEC certification (or willingness to obtain it) Existing network of HNW/UHNW individuals, entrepreneurs, family offices, or private banking professionals is a strong advantage Exposure to digital assets or alternative investments Familiarity with CRM systems and structured sales processes Benefits Competitive base salary complemented by a performance-driven uncapped bonus scheme. Exposure to international private clients across Cyprus, the UAE, Switzerland, and the United States. Paid CySEC certification and support for professional development (e.g. CFA and other qualifications) Participation in client and industry events Flexible working model and team-oriented culture Clear career path: Client Acquisition → Relationship Manager → Senior RM International team of 100+ professionals across 11 countries with a strong collaborative culture Opportunity to build a long-term career in wealth management and private banking Access to experienced investment professionals and mentorship Fast-paced professional growth within a regulated international group

Location: Paris, Remote Workplace: remote Our Security and IT team keeps the 360Learning platform secure, compliant and auditable for the 1,500 organisations that learn on it every day. As a Senior DevSecOps Engineer, your mission is to make our infrastructure secure by design, detectable by default, and provable at audit time. 360Learning runs its learning platform on Azure and Kubernetes, certified ISO 27001:2022 and SOC 2 Type II. Over the past two years the technical security workload has grown on every front: a larger and more regulated customer base sending their own scans and security assessments, a wider detection and response scope, more infrastructure to keep hardened and auditable, and a growing backlog of security engineering projects that never reach the top of the queue. We are creating this position to add real technical capacity on the infrastructure side of security, and to move part of our security posture from manual effort to automated guardrails. You will be the bridge between security and platform engineering: deep enough in infrastructure to fix things yourself, and close enough to security operations to know what to look for. “Ours is a small, senior team with a broad scope: information security, compliance, infrastructure governance and internal tooling, with dual audit accountability on ISO 27001:2022 and SOC 2 Type II. That means direct impact and no layers between you and the decision. Roughly half of this role is greenfield build work you will own end to end.” Guillaume Seigneuret, CISO and Hiring Coach. Within 1 month, you will: Complete our onboarding and learn how we work through our own platform and our Convexity culture Map our Azure and AKS environment, our detection and logging coverage, and our ISO 27001 and SOC 2 control scope with the CISO and the Security Engineer Meet the DevOps, platform engineering and IT teams you will work with daily Shadow alert triage and one customer security assessment end to end Within 3 months, you will: Be autonomous on our AKS and Azure environment and handle infrastructure related alerts end to end Have shipped at least one concrete hardening or automation improvement in production Own the infrastructure scope of vulnerability management, from triage to remediation follow up Within 6 months, you will: Have the honeypot live and producing high fidelity alerts Have measurably widened SIEM connector coverage, with documented log sources and retention Run infrastructure vulnerability remediation on a predictable cycle with SLA reporting Within 12 months, you will: Manage detection content as code, with reviewed and tested rules and documented runbooks Have largely automated audit evidence on the infrastructure scope Have eliminated long lived credentials on the critical paths, so engineering teams ship on secure defaults they did not have to think about The Skill Set: 5+ years in infrastructure, cloud or platform engineering with a strong security focus, or in security engineering with hands on infrastructure practice Production experience with Kubernetes: RBAC, network policies, admission controllers, secrets handling, workload identity, runtime security Solid cloud experience, ideally Azure. Strong AWS or Google Cloud experience with a genuine interest in converting works too Infrastructure as code: Terraform, GitOps workflows, CI/CD pipelines Scripting and automation: Python or Go, plus shell. Comfortable reading and writing code, and opening pull requests on repositories owned by other teams Log analysis and investigation: cloud audit logs, query languages, correlation across identity, network and application sources Fluent English (US/UK) / B2 level or equivalent (FR). Enthusiasm for our working environment explained here: https://bit.ly/Convexity360L What we offer: Compensation: Package includes base salary, a variable component and equity 📈 Benefits/Perks : Work From Home stipend, RTT, lunch vouchers, medical insurance, gym subscription, 1 month parental leave for the second parent. Balance: Flexible hours, full remote work possible anywhere in France 🏠 Diversity, Equity, and Inclusion : We have 6 active ERGs including Mental Health, Environmental/Sustainability, Women, Parents, LGBTQIA2S+, and Ethnic Diversity. Each group has at least one executive team member serving as a member of the group, bringing greater awareness to each group’s activities and providing a quick path to impact 🤝 Corporate Social Responsibility : Review our CSR Charter: 360learning.com/blog/corporate-social-responsibility-charter 🌎🌏🌍 Culture: A framework that will help you make an impact - envision our way of working and our Convexity Culture: https://bit.ly/Convexity360L & find out more about the teams, product and processes https://bit.ly/42H1ggC 🚀👩🏻‍💻🏆 Interview Process: Phone Screen with our Talent Acquisition Manager Discovery Meeting with our Head of Security Live exercise with our Head of Security and our Head of Devops: investigation of an incident scenario, or review of an insecure infrastructure configuration Clarification Meeting with the Security Engineer and a DevOps engineer Culture Fit Meeting with our VP of Engineering Offer! Who We Are 360Learning enables companies to upskill from within by turning their experts into champions for employee, customer, and partner growth. With our LMS for collaborative learning, Learning & Development teams can accelerate upskilling with the help of internal experts instead of slow top-down training. 360Learning is the easiest way to onboard and upskill employees, train customer-facing teams, and enable customers and partners–all from one place. 360Learning powers the future of work at 1,700 organizations. Founded in 2013, 360Learning has raised $240 million with 400+ team members across North America and EMEA. Learning Includes Everyone. In concert with our culture, 360Learning believes learning includes everyone and that means embracing the strengths of diversity, connectedness, and inclusion. Through conscientious efforts, our global footprint celebrates cultures, perspectives, and experiences from all over the world to support our platform that is built for all regardless of race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. Thus, 360Learning is proud to be an equal opportunity workplace, and we commit to continue this throughout our processes for recruitment, compensation, benefits, performance, promotion, and all other conditions and terms of employment. We want to learn from and with you!

Location: Bulgaria Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry’s digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity. We are looking for a Production Order Administrator to strengthen our Operations team. The goal of this role is to take care of production order execution through our manufacturing partner network and resolve unexpected issues that arise during the production process. How You’ll Contribute: Supervise the processing of production orders and document them in our internal CRM and ERP systems Select suitable contractors from our database of production partners Support the manufacturing process by controlling dates and dispatch, organizing delivery, and overseeing product quality control Track payments and work with customers Solve problems and special cases with customers and manufacturers that occur during order processing Achieve results despite the difficulties encountered What You’ll Bring to Xometry: Language Skills: Fluent English and Italian (B2 or higher), including business correspondence. This is the primary requirement Experience: At least 1 year of relevant experience in procurement, logistics, or order management. Experience with engineering orders and with transactional IT systems for automating sales, production, and logistics processes is an advantage Problem Solving: Readiness to solve problems that differ from the base scenario Availability: Willingness to work paid overtime and be available for urgent questions outside of business hours Growth Mindset: Desire to work in a fast-growing business environment and willingness to systematize your own work and take part in process automation Work Environment: A comfortable workplace with stable internet access and the ability to join conference calls, as this position is 100% home office #LI-Remote Xometry is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. Please read our privacy policy here.

Location: Georgia Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry’s digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity. We are looking for a Production Order Administrator to strengthen our Operations team. The goal of this role is to take care of production order execution through our manufacturing partner network and resolve unexpected issues that arise during the production process. How You’ll Contribute: Supervise the processing of production orders and document them in our internal CRM and ERP systems Select suitable contractors from our database of production partners Support the manufacturing process by controlling dates and dispatch, organizing delivery, and overseeing product quality control Track payments and work with customers Solve problems and special cases with customers and manufacturers that occur during order processing Achieve results despite the difficulties encountered What You’ll Bring to Xometry: Language Skills: Fluent English and Italian (B2 or higher), including business correspondence. This is the primary requirement Experience: At least 1 year of relevant experience in procurement, logistics, or order management. Experience with engineering orders and with transactional IT systems for automating sales, production, and logistics processes is an advantage Problem Solving: Readiness to solve problems that differ from the base scenario Availability: Willingness to work paid overtime and be available for urgent questions outside of business hours Growth Mindset: Desire to work in a fast-growing business environment and willingness to systematize your own work and take part in process automation Work Environment: A comfortable workplace with stable internet access and the ability to join conference calls, as this position is 100% home office #LI-Remote Xometry is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. Please read our privacy policy here.

Location: San Francisco; New York Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE As Manager (Player & Coach) of the Solution Architect team, you will lead and mentor a team of Solution Architects who will partner closely with Sales and customers to translate business needs into technical solutions, run technical discovery, and guide repeatable deployments and proofs of value for customers. Applying both hands-on technical ownership and managerial leadership, you will guide your team through the processes of owning discovery calls, demos, technical scoping and driving POCs through to execution as well as designing, deploying, and managing high performance, low latency AI applications on Baseten’s platform. You will also partner with product, infrastructure, and other customer engineering teams to ensure that large language models (LLMs) and other generative AI systems deliver best-in-class performance, reliability, and cost efficiency in production environments. EXAMPLE INITIATIVES Take a look at these blog posts written by members of our Forward Deployed Engineering team: - Forward Deployed Engineering on the frontier of AI https://www.baseten.co/blog/forward-deployed-engineering/ - The fastest, most accurate Whisper transcription https://www.baseten.co/blog/the-fastest-most-accurate-and-cost-efficient-whisper-transcription/ - Deploy production-ready model servers from Docker images https://www.baseten.co/blog/deploy-production-model-servers-from-docker-images/ - Deploy custom ComfyUI workflows as APIs https://www.baseten.co/blog/deploying-custom-comfyui-workflows-as-apis/ RESPONSIBILITIES Leadership - Lead, mentor, and grow a team of Solution Architects, providing guidance on technical direction, project execution, and professional development. - Set clear goals and ensure timely, high-quality delivery across multiple customer-facing projects involving LLM deployment and inference optimization. - Collaborate with leadership to align team priorities with company and customer goals, balancing short-term delivery, widely varying customer priorities, and long-term technical initiatives. - Player-coach – While much of this role will be leading the team, you will also be expected to be a key driver on strategic product initiatives and customer engagements. The best managers derive credibility from being able to be hands-on when needed. Team Management - Lead a team of Solution Architects who will: - Partner with sales on customer discovery calls (most often second calls, occasionally first calls for large accounts). - Lead demos and technical scoping to align on success criteria, architecture, and deployment approach. - Own benchmarking and repeatable deployments, including handling standard deployment patterns and configurations across many modalities – LLMs, embeddings, image and video generation, VoiceAI, etc. - Advising on tradeoffs like H100s vs B200s and latency-optimized vs throughput-optimized setups. - Driving consistent “playbook” style deployments for common models and use cases. - Become a power user of different runtimes such as vLLM, SGLang, and TRT-LLM and all the common configurations and tradeoffs between them - Drive POC and project execution, including: - Scoping POCs and keeping stakeholders aligned on timeline, deliverables, and next steps. - Acting as the “ringleader” or project manager for POCs. - Pulling in Forward Deployed Engineering (FDE) support when deeper or more complex technical work is needed. REQUIREMENTS - AI/ML background and the ability to credibly discuss AI/ML topics with technical stakeholders. - 4+ years of professional Solution Architecture/Solutions Engineering experience, including 1+ year in a leadership or mentorship capacity. - Strong customer-facing communication skills, including the ability to run structured discovery and clarify ambiguous requirements. - Technical depth to scope solutions, without needing to write production code. - Ability to script and prototype as needed, including comfort “vibe coding” to move quickly in technical workflows. NICE TO HAVE - Experience running or supporting benchmarks for ML inference deployments. - Familiarity with infrastructure tradeoffs relevant to inference performance and cost (for example GPU selection and latency versus throughput tuning). - Experience serving as a cross-functional technical lead for customer POCs, including coordination across Sales and Engineering. - Professional Software engineering experience BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Location: San Francisco Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. Are you the person who keeps a high-volume interview engine running smoothly? We're looking for a Manager, Recruiting Coordination to lead and grow our Recruiting Coordinator team across San Francisco and New York. You'll own how coordination runs day to day: who supports which recruiters, the scheduling SLAs and support bar for every interview and onsite, and how the team scales as hiring grows. Our coordinators support multiple recruiters and hiring teams, handling a high volume of mostly technical interview loops. They partner with executive assistants on confidential roles, and support the opening of jobs and the building of interview plans for all roles. You'll make sure that pace stays sustainable for the team and smooth for every candidate. You'll also take on project work as a part of Recruiting Operations to improve how recruiting operations, and recruiting overall, runs at Baseten. Take a look at this recent announcement to get a sense of how quickly Baseten is growing: - Announcing our partnership with OpenAI https://www.baseten.co/blog/baseten-openai-partnership/ RESPONSIBILITIES - Manage, coach, and develop a team of Recruiting Coordinators across San Francisco and New York, including 1:1s, goal setting, regular feedback, and performance conversations. - Forecast coordinator headcount from scheduling volume and hiring plans. to hire, onboard, and grow coordinators: own the RC interview process, ramp new hires through a structured plan, and build career paths into senior RC, recruiting, or operations roles. - Assign coordinators to support talent profiles and hiring teams, rebalance coverage as hiring volume grows, and monitor daily coverage so scheduling and onsites never drop. - Partner with Recruiting Operations to turn coordinator, candidate, and interviewer pain points into automation and AI opportunities, and identify, build and lead process, reporting, and tooling projects to improve outcomes across the funnel. - Define what the coordination team owns, maintain the RC handbook, and represent coordination in recruiting leadership discussions. - Own the process for opening and publishing jobs, and keep interview plans, hiring teams, and scheduling data in our ATS accurate. - Own the SLAs and service bar for all scheduling, and monitor interviewer load and availability rules, from screens and interview loops to debriefs, sell calls, and reference calls. - Ensure every onsite in San Francisco and New York runs smoothly, including candidate travel and related budgets. REQUIREMENTS - 4+ years of experience in recruiting or recruiting operations, with 2+ years managing recruiting coordinators. - Experience using scheduling and recruiting data and metrics to drive capacity, quality, and staffing decisions. - Experience coordinating with executives and supporting confidential hiring processes. - Experience hiring, onboarding, and developing coordinators. NICE TO HAVE - Coordination experience at a fast-growing tech company, ideally supporting technical interview loops. - Experience leading a team across multiple offices, locally and globally. - Experience managing contract or agency coordination support. - Experience using AI and automation to remove routine coordination work. - Exposure to recruiting operations or program management. BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Location: San Francisco; New York Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE We’re looking for a high-performing strategic finance professional to join our growing Product Finance team as the finance owner for Baseten's distribution and labs partnerships. You'll evaluate commercials, design deal structures, and make sure the rates we agree to fit our economics and that the value we get from each partnership ties back to our product strategy and compute needs. You'll partner directly with Partnerships, Product, Infrastructure, GTM, and Legal leadership. This is a builder role: much of what you'll own doesn't exist yet as a model, a dashboard or a process. This role is ideal for someone with 7 to 10 years of experience across strategic finance, corporate development, investing, and/or investment banking who wants broad exposure to company-building inside a fast-scaling AI infrastructure company. RESPONSIBILITIES - Build deal models for distribution and labs partnerships across pricing, revenue share, commitments, and cost-to-serve - Evaluate partner proposals and counters and recommend structures that protect margin while getting deals done - Own commercial frameworks for partnerships, including revenue share tiers, capacity pricing and partner rate cards - Quantify each partnership's strategic value such as customer reach and model access, alongside its direct economics - Tie partner commitments and forecasts to Baseten's capacity and GPU supply plan - Track partnership performance after signing - Own the partnerships forecast and its contribution to the annual plan - Partner with Product and Partnerships leadership on which partners to prioritize and how partnerships inform the roadmap REQUIREMENTS - 7+ years of experience in strategic finance at a high-growth company, corporate development, PE/VC investing, and/or investment banking - Deep understanding of product unit economics and excellent financial modeling skills, including building deal models from raw usage and cost data - Experience structuring commercial agreements and anticipating their downstream impacts such as pricing precedent, channel conflict, capacity commitments and margin - Ability to synthesize complex information into clear recommendations for executives and hold a point of view in deal discussions - Comfortable building from scratch and making decisions with incomplete data - Strong attention to detail with a bias toward ownership and execution - Advanced Excel / Google Sheets skills; familiarity with SQL or BI tools is a plus NICE TO HAVE - Experience with GPU compute economics or cloud infrastructure - Familiarity with cloud marketplaces, AI gateways, or the commercial landscape for AI model labs - Experience at a usage-based company BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Location: Cyprus; Finland; Ireland; Malta; Montenegro; Sweden What you'll be solving A platform engineer opens their AI client of choice, connects it to CAST AI, and types: "Why did our spend jump 40% in eu-west last week?" Thirty seconds later they have an answer, pulled from live cluster state and cost data, with links back to the evidence. No dashboards. No YAML archaeology. Just a question and a correct, permission-checked answer. Your job is to make that interaction boring. Reliably, securely, at production scale. Behind it sits the hard part: an AI assistant that reasons over thousands of production Kubernetes clusters, a platform that safely exposes company infrastructure to external AI clients, and quality pipelines that tell us when the agent is wrong before a customer does. Get it right, and operators stop clicking through consoles entirely. Get it wrong once, and an agent gives a confidently wrong answer to someone managing production. CAST AI already runs Kubernetes infrastructure autonomously. Our automation makes thousands of cost-and-reliability decisions a day. Cast Pilot is the team building the intelligence layer on top of that: AI assistants for Kubernetes and the cloud itself . Our assistant already answers thousands of questions a month from hundreds of organizations. Now we're opening the platform up: a public, permission-aware MCP server so customers can plug CAST AI straight into their own AI clients and agents, deeper connectivity across all three major clouds (AWS, GCP, Azure), and a continuous push to make our agents smarter, better grounded, and more capable. This is greenfield AI platform work on top of battle-tested infrastructure. Most features ship in 1 to 4 weeks. This is a location-specific opportunity. We are currently accepting applications from candidates residing in the following European countries: Bulgaria, Croatia, Estonia, Greece, Hungary, Latvia, Lithuania, Poland, Romania, Slovakia, Cyprus, Malta, Finland, Sweden, Ireland, Moldova, North Macedonia, Montenegro, Slovenia, and Ukraine. Requirements Strong software engineering fundamentals: you design clean abstractions, write maintainable code, and can justify your architecture choices, not just make something work. You're a generalist who is as comfortable debugging a distributed system as designing an auth flow or tuning an agent's behavior. Production experience with Go is strongly preferred; candidates without Go should demonstrate strong systems programming skills in a comparable language. Experience building or operating large-scale SaaS platforms in production: multi-tenant systems, high volumes, and the failure modes that only show up at scale. Solid understanding of Kubernetes. Our entire platform runs on it, and the assistants we build answer questions about it. You should be at home with autoscaling, scheduling, and networking concepts. You've personally driven a complex project end-to-end. Hands-on experience with AI coding agents and agentic development workflows. This is how we build, not just what we build. You've used observability tooling in production. CI/CD and DevOps practices experience. Strong English skills, both verbal and written. Startup mindset: adaptable, proactive, and comfortable with ambiguity. What will make you stand out You've built agentic systems that shipped : MCP servers or clients, agent gateways, tool-use orchestration, RAG pipelines, evaluation frameworks, and you can talk about what broke in production and how you found out. This is the single biggest differentiator for our team. Deep hands-on experience with one or more of AWS, GCP, or Azure, with real understanding of IAM, compute, networking, and their APIs, not just console-level usage. Experience with LLM application quality: evaluations, prompt engineering at scale, latency and cost optimization of agent loops. Knowledge of OAuth 2.0 / OIDC and multi-tenant authorization design. Deep knowledge of EKS, GKE, or AKS internals. Kubernetes or cloud-native OSS contributions. Responsibilities Design and build the systems behind our AI assistant: agent flows, context retrieval, and the data connections that let it reason about live Kubernetes infrastructure. Build and evolve our public, permission-aware MCP server : curated tools, identity, audit, and strict safety gates, so customers can use CAST AI from their own AI clients. Develop and maintain cloud connectivity across AWS, GCP, and Azure, and the data foundations our agents build on. Write production Go services that interact with cloud provider APIs, the Kubernetes control plane, and LLM APIs in real time. Own features end-to-end: from design through implementation, testing, and production rollout (most projects ship in 1 to 4 weeks). Debug novel problems: an agent giving a wrong answer, a cross-cloud permission edge case, a data freshness issue that only appears at scale. Build the quality harness: evals, telemetry, feedback loops, that let us ship agent improvements without regressions. Contribute to product direction and backlog. Shape what gets built next, not just how it's built. Participate in the team's on-call rotation. Tools We Use Daily Programming Languages: Go AI & Agents: MCP (servers and clients), agent gateways, LLM provider APIs, RAG, evaluation pipelines Cloud & Orchestration: Kubernetes, AWS, GCP, Azure Infrastructure as Code: Terraform Databases & Storage: PostgreSQL, Cloud Object Storage, ClickHouse Workflows & APIs: Temporal, GCP Pub/Sub, gRPC, REST Observability & Product Analytics: Prometheus, Grafana, Loki, Tempo, PostHog CI/CD & GitOps: GitLab/GitHub CI with ArgoCD and Kargo What's in it for you? Competitive salary (€6,500 to €9,000 gross, depending on the level of experience) Work on genuinely new problems: production MCP platforms and AI assistants for Kubernetes and cloud infrastructure are not solved domains. You'll be defining them, not following a playbook. Equity options. Real users, fast: your work ships to hundreds of organizations in weeks, not quarters. Enjoy a flexible, remote-first global environment. Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology. Spend 10% of your work time on personal projects or self-improvement. Learning budget for professional and personal development, including access to international conferences and courses. Annual hackathon to spark new ideas and strengthen team bonds. Team-building budget and company events to connect with your colleagues. Equipment budget to ensure you have everything you need. Extra days off to help maintain a healthy work-life balance. Hiring process Screening call with Recruiter Hiring Manager interview Technical interview (system design) Live coding Culture Check interview with an executive As part of our standard hiring process, a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr. Please note that Cast AI does not provide any form of visa sponsorship/work permit. #LI-Remote

Location: San Francisco; New York Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE You will own the commercial structuring and economics of Baseten's highest-priority customer deals end to end. You will play a critical role in scaling our revenue by serving as a trusted partner to Sales, Finance, and Legal on complex and non-standard deals. You'll help our products reach customers quickly while maintaining the financial discipline and risk management that a fast-scaling AI company requires. This role is ideal for someone who has excellent commercial judgment, is highly analytical, and wants to build the deal strategy function from the ground up at a hypergrowth company. You'll help define how the world's leading AI companies buy inference and directly impact our most strategic customer relationships. THE RESPONSIBILITIES - Deal Structuring: Partner with Sales to structure deals that meet customer needs while protecting Baseten's financial and strategic interests, spanning pricing, discounts, commitments, and contract terms. - Customer Negotiations: Join customer conversations and represent Baseten with senior finance and procurement stakeholders, bringing pricing and commercial depth so the account team can stay focused on the relationship. - Financial Analysis: Conduct deal profitability, margin, and discount impact analysis, and translate the results into clear, data-driven recommendations for leadership. - Deal Review and Approvals: Review enterprise deals that fall outside standard parameters, and own the approval thresholds and escalation paths that keep decisions moving quickly. - Cross-Functional Execution: Partner with Legal, Revenue Accounting, RevOps, and Billing to ensure every deal is contracted, booked, and billed accurately. - Pricing Insights: Track discounting, win rates, and deal outcomes across the book, and use those insights to shape pricing, packaging, and commercial policy. - Process and Systems: Build the playbooks, guidelines, and workflows that let our deal process scale with the business. Use AI and automation extensively to keep the function fast and lean as deal volume grows. THE REQUIREMENTS - 8+ years of experience in deal strategy, pricing, strategic finance, investing, and/or revenue operations at a high-growth technology company - Proven track record of structuring and negotiating complex enterprise deals, especially in a consumption-based environment - Strong commercial judgment, with the presence to negotiate directly with customers and represent Baseten externally - Excellent system design, financial modeling, and analytical skills - Ability to earn the trust of sales teams and influence senior leaders across Sales, Finance, and Legal - Proficiency in CPQ/CRM tools and a strong understanding of how deal terms affect billing and revenue recognition - Excellent written and verbal communication, with the ability to turn complex deal structures into clear recommendations for executives STRONG CANDIDATES MAY ALSO HAVE - Experience at an AI, cloud infrastructure, or data platform company - Familiarity with GPU and compute economics - Experience building a deal desk or deal strategy function from scratch - Prior quantitative experience BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Responsibilities: — Design, deploy, and operate production AI infrastructure for customer workloads. Requirements: — Experience with machine learning, Kubernetes, Java, Spark, IAM, Infrastructure-as-Code, Go, Terraform, networking, distributed computing, GCP, Python, GitOps, Dask, DevOps, AWS, Helm, CI/CD, and Security. Benefits: — Salary range $250,000 - $275,000.

Location: European Union What you'll be solving A platform engineer opens their AI client of choice, connects it to CAST AI, and types: "Why did our spend jump 40% in eu-west last week?" Thirty seconds later they have an answer, pulled from live cluster state and cost data, with links back to the evidence. No dashboards. No YAML archaeology. Just a question and a correct, permission-checked answer. Your job is to make that interaction boring. Reliably, securely, at production scale. Behind it sits the hard part: an AI assistant that reasons over thousands of production Kubernetes clusters, a platform that safely exposes company infrastructure to external AI clients, and quality pipelines that tell us when the agent is wrong before a customer does. Get it right, and operators stop clicking through consoles entirely. Get it wrong once, and an agent gives a confidently wrong answer to someone managing production. CAST AI already runs Kubernetes infrastructure autonomously. Our automation makes thousands of cost-and-reliability decisions a day. Cast Pilot is the team building the intelligence layer on top of that: AI assistants for Kubernetes and the cloud itself . Our assistant already answers thousands of questions a month from hundreds of organizations. Now we're opening the platform up: a public, permission-aware MCP server so customers can plug CAST AI straight into their own AI clients and agents, deeper connectivity across all three major clouds (AWS, GCP, Azure), and a continuous push to make our agents smarter, better grounded, and more capable. This is greenfield AI platform work on top of battle-tested infrastructure. Most features ship in 1 to 4 weeks. This is a location-specific opportunity. We are currently accepting applications from candidates residing in the following European countries: Bulgaria, Croatia, Estonia, Greece, Hungary, Latvia, Lithuania, Poland, Romania, Slovakia, Cyprus, Malta, Finland, Sweden, Ireland, Moldova, North Macedonia, Montenegro, Slovenia, and Ukraine. Requirements Strong software engineering fundamentals: you design clean abstractions, write maintainable code, and can justify your architecture choices, not just make something work. You're a generalist who is as comfortable debugging a distributed system as designing an auth flow or tuning an agent's behavior. Production experience with Go is strongly preferred; candidates without Go should demonstrate strong systems programming skills in a comparable language. Experience building or operating large-scale SaaS platforms in production: multi-tenant systems, high volumes, and the failure modes that only show up at scale. Solid understanding of Kubernetes. Our entire platform runs on it, and the assistants we build answer questions about it. You should be at home with autoscaling, scheduling, and networking concepts. You've personally driven a complex project end-to-end. Hands-on experience with AI coding agents and agentic development workflows. This is how we build, not just what we build. You've used observability tooling in production. CI/CD and DevOps practices experience. Strong English skills, both verbal and written. Startup mindset: adaptable, proactive, and comfortable with ambiguity. What will make you stand out You've built agentic systems that shipped : MCP servers or clients, agent gateways, tool-use orchestration, RAG pipelines, evaluation frameworks, and you can talk about what broke in production and how you found out. This is the single biggest differentiator for our team. Deep hands-on experience with one or more of AWS, GCP, or Azure, with real understanding of IAM, compute, networking, and their APIs, not just console-level usage. Experience with LLM application quality: evaluations, prompt engineering at scale, latency and cost optimization of agent loops. Knowledge of OAuth 2.0 / OIDC and multi-tenant authorization design. Deep knowledge of EKS, GKE, or AKS internals. Kubernetes or cloud-native OSS contributions. Responsibilities Design and build the systems behind our AI assistant: agent flows, context retrieval, and the data connections that let it reason about live Kubernetes infrastructure. Build and evolve our public, permission-aware MCP server : curated tools, identity, audit, and strict safety gates, so customers can use CAST AI from their own AI clients. Develop and maintain cloud connectivity across AWS, GCP, and Azure, and the data foundations our agents build on. Write production Go services that interact with cloud provider APIs, the Kubernetes control plane, and LLM APIs in real time. Own features end-to-end: from design through implementation, testing, and production rollout (most projects ship in 1 to 4 weeks). Debug novel problems: an agent giving a wrong answer, a cross-cloud permission edge case, a data freshness issue that only appears at scale. Build the quality harness: evals, telemetry, feedback loops, that let us ship agent improvements without regressions. Contribute to product direction and backlog. Shape what gets built next, not just how it's built. Participate in the team's on-call rotation. Tools We Use Daily Programming Languages: Go AI & Agents: MCP (servers and clients), agent gateways, LLM provider APIs, RAG, evaluation pipelines Cloud & Orchestration: Kubernetes, AWS, GCP, Azure Infrastructure as Code: Terraform Databases & Storage: PostgreSQL, Cloud Object Storage, ClickHouse Workflows & APIs: Temporal, GCP Pub/Sub, gRPC, REST Observability & Product Analytics: Prometheus, Grafana, Loki, Tempo, PostHog CI/CD & GitOps: GitLab/GitHub CI with ArgoCD and Kargo What's in it for you? Competitive salary (€6,500 to €9,000 gross, depending on the level of experience) Work on genuinely new problems: production MCP platforms and AI assistants for Kubernetes and cloud infrastructure are not solved domains. You'll be defining them, not following a playbook. Equity options. Real users, fast: your work ships to hundreds of organizations in weeks, not quarters. Enjoy a flexible, remote-first global environment. Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology. Spend 10% of your work time on personal projects or self-improvement. Learning budget for professional and personal development, including access to international conferences and courses. Annual hackathon to spark new ideas and strengthen team bonds. Team-building budget and company events to connect with your colleagues. Equipment budget to ensure you have everything you need. Extra days off to help maintain a healthy work-life balance. Hiring process Screening call with Recruiter Hiring Manager interview Technical interview (system design) Live coding Culture Check interview with an executive As part of our standard hiring process, a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr. Please note that Cast AI does not provide any form of visa sponsorship/work permit. #LI-Remote

Location: Estonia; Greece; Latvia; Lithuania; Poland; Slovakia; Ukraine What you'll be solving A platform engineer opens their AI client of choice, connects it to CAST AI, and types: "Why did our spend jump 40% in eu-west last week?" Thirty seconds later they have an answer, pulled from live cluster state and cost data, with links back to the evidence. No dashboards. No YAML archaeology. Just a question and a correct, permission-checked answer. Your job is to make that interaction boring. Reliably, securely, at production scale. Behind it sits the hard part: an AI assistant that reasons over thousands of production Kubernetes clusters, a platform that safely exposes company infrastructure to external AI clients, and quality pipelines that tell us when the agent is wrong before a customer does. Get it right, and operators stop clicking through consoles entirely. Get it wrong once, and an agent gives a confidently wrong answer to someone managing production. CAST AI already runs Kubernetes infrastructure autonomously. Our automation makes thousands of cost-and-reliability decisions a day. Cast Pilot is the team building the intelligence layer on top of that: AI assistants for Kubernetes and the cloud itself . Our assistant already answers thousands of questions a month from hundreds of organizations. Now we're opening the platform up: a public, permission-aware MCP server so customers can plug CAST AI straight into their own AI clients and agents, deeper connectivity across all three major clouds (AWS, GCP, Azure), and a continuous push to make our agents smarter, better grounded, and more capable. This is greenfield AI platform work on top of battle-tested infrastructure. Most features ship in 1 to 4 weeks. This is a location-specific opportunity. We are currently accepting applications from candidates residing in the following European countries: Bulgaria, Croatia, Estonia, Greece, Hungary, Latvia, Lithuania, Poland, Romania, Slovakia, Cyprus, Malta, Finland, Sweden, Ireland, Moldova, North Macedonia, Montenegro, Slovenia, and Ukraine. Requirements Strong software engineering fundamentals: you design clean abstractions, write maintainable code, and can justify your architecture choices, not just make something work. You're a generalist who is as comfortable debugging a distributed system as designing an auth flow or tuning an agent's behavior. Production experience with Go is strongly preferred; candidates without Go should demonstrate strong systems programming skills in a comparable language. Experience building or operating large-scale SaaS platforms in production: multi-tenant systems, high volumes, and the failure modes that only show up at scale. Solid understanding of Kubernetes. Our entire platform runs on it, and the assistants we build answer questions about it. You should be at home with autoscaling, scheduling, and networking concepts. You've personally driven a complex project end-to-end. Hands-on experience with AI coding agents and agentic development workflows. This is how we build, not just what we build. You've used observability tooling in production. CI/CD and DevOps practices experience. Strong English skills, both verbal and written. Startup mindset: adaptable, proactive, and comfortable with ambiguity. What will make you stand out You've built agentic systems that shipped : MCP servers or clients, agent gateways, tool-use orchestration, RAG pipelines, evaluation frameworks, and you can talk about what broke in production and how you found out. This is the single biggest differentiator for our team. Deep hands-on experience with one or more of AWS, GCP, or Azure, with real understanding of IAM, compute, networking, and their APIs, not just console-level usage. Experience with LLM application quality: evaluations, prompt engineering at scale, latency and cost optimization of agent loops. Knowledge of OAuth 2.0 / OIDC and multi-tenant authorization design. Deep knowledge of EKS, GKE, or AKS internals. Kubernetes or cloud-native OSS contributions. Responsibilities Design and build the systems behind our AI assistant: agent flows, context retrieval, and the data connections that let it reason about live Kubernetes infrastructure. Build and evolve our public, permission-aware MCP server : curated tools, identity, audit, and strict safety gates, so customers can use CAST AI from their own AI clients. Develop and maintain cloud connectivity across AWS, GCP, and Azure, and the data foundations our agents build on. Write production Go services that interact with cloud provider APIs, the Kubernetes control plane, and LLM APIs in real time. Own features end-to-end: from design through implementation, testing, and production rollout (most projects ship in 1 to 4 weeks). Debug novel problems: an agent giving a wrong answer, a cross-cloud permission edge case, a data freshness issue that only appears at scale. Build the quality harness: evals, telemetry, feedback loops, that let us ship agent improvements without regressions. Contribute to product direction and backlog. Shape what gets built next, not just how it's built. Participate in the team's on-call rotation. Tools We Use Daily Programming Languages: Go AI & Agents: MCP (servers and clients), agent gateways, LLM provider APIs, RAG, evaluation pipelines Cloud & Orchestration: Kubernetes, AWS, GCP, Azure Infrastructure as Code: Terraform Databases & Storage: PostgreSQL, Cloud Object Storage, ClickHouse Workflows & APIs: Temporal, GCP Pub/Sub, gRPC, REST Observability & Product Analytics: Prometheus, Grafana, Loki, Tempo, PostHog CI/CD & GitOps: GitLab/GitHub CI with ArgoCD and Kargo What's in it for you? Competitive salary (€6,500 to €9,000 gross, depending on the level of experience) Work on genuinely new problems: production MCP platforms and AI assistants for Kubernetes and cloud infrastructure are not solved domains. You'll be defining them, not following a playbook. Equity options. Real users, fast: your work ships to hundreds of organizations in weeks, not quarters. Enjoy a flexible, remote-first global environment. Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology. Spend 10% of your work time on personal projects or self-improvement. Learning budget for professional and personal development, including access to international conferences and courses. Annual hackathon to spark new ideas and strengthen team bonds. Team-building budget and company events to connect with your colleagues. Equipment budget to ensure you have everything you need. Extra days off to help maintain a healthy work-life balance. Hiring process Screening call with Recruiter Hiring Manager interview Technical interview (system design) Live coding Culture Check interview with an executive As part of our standard hiring process, a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr. Please note that Cast AI does not provide any form of visa sponsorship/work permit. #LI-Remote

Харденинг Kubernetes, управление доступом на основе ролей (RBAC), контроллеры допуска (admission controllers OPA/Gatekeeper, Kyverno), стандарты безопасности подов (Pod Security Standards), сетевые политики (Network Policies). Безопасность контейнеров (Container Security).