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Location: EU/Ukraine We are the creators of a new fintech era! Our mission is to change this world by making blockchain accessible to everyone in everyday life. WhiteBIT is a global team of over 1,200 professionals united by one mission — to shape the new world order in the Web3 era. Each of our employees is fully engaged in this transformative journey. We work on our blockchain platform, providing maximum transparency and security for more than 8 million users worldwide. Our breakthrough solutions, incredible speed of adaptation to market challenges, and technological superiority are the strengths that take us beyond ordinary companies. Our official partners include the National Football Team of Ukraine, FC Barcelona, Lifecell, FACEIT and VISA. The future of Web3 starts with you: join us as a Product Manager! Requirements 3+ years as a Product Manager owning a revenue-generating product in fintech, payments, or crypto. Experience owning a roadmap and backlog for several directions at once. Strong product analytics: defining North Star and input metrics, building metric trees, funnel, cohort, retention, and churn analysis. Hands-on SQL plus Mixpanel or Amplitude. Financial modelling: unit economics (LTV/CAC, contribution margin, cost per transaction), P&L ownership, ROI forecasting, and pricing and fee modelling. Experiment design: hypothesis testing, A/B testing methodology, judging statistical significance. Market and competitor analysis: SWOT, TAM, competitive benchmarking. Prioritisation and capacity planning: RICE, ICE; experience splitting team capacity across several directions. Jira Product Discovery or Product board. SDLC and technical literacy: Agile delivery, close work with BAs on requirements, understanding of APIs and third-party integrations. Advanced stakeholder management and negotiation with Legal, Compliance, Risk, Finance and Engineering. English Upper-Intermediate or higher. Would be a plus: On/off-ramp and payments: PSP and acquiring integrations, card payments, SEPA/SWIFT and local fiat rails, P2P, OTC. Crypto deposits and withdrawals: networks, confirmations, fees, custody models. Limits, AML/KYC-driven restrictions, and credit or lending products. Prior experience at a crypto exchange or fintech platform. Responsibilities Own the product vision and roadmap. Regularly review its direction against stable revenue, growth potential, and strategic goals. Own backlog: run bi-weekly backlog grooming, set and re-prioritise items (P0–P3, including low-priority duty items), and make sure every ticket that enters is worth the company’s time and fits the roadmap. Allocate Product Group (BAs & Designers) capacity across its directions every 2-week cycle and represent the group in department-wide cycle planning. Define and track metrics (volume, conversion, revenue, cost per transaction, by product, provider, and method) and keep dashboards current. Build and maintain unit economics and P&L views for the domain. Work on fee and rate revisions and their commercial impact. Run market and user discovery: competitor benchmarking, user research, hypothesis validation, A/B tests. Find upsell and cross-sell opportunities. Lead the group team (BAs, Design, Analytics): run the weekly internal check-in and keep the group’s Slack channel and communication in order. Communicate status and decisions to stakeholders in each direction. Align with Legal, Compliance, Risk, Sales, Marketing, and Finance and resolve conflicting requirements. Own high-level product documentation together with BAs. Raise process, feedback, and Jira change requests to improve how the group works. Working terms Immerse yourself in Crypto & Web3: Master cutting-edge technologies and become an expert in the most innovative industry. Work with the Fintech of the Future: Develop your skills in digital finance and shape the global market. Take Your Professionalism to the Next Level: Gain unique experience and be part of global transformations. Drive Innovations: Influence the industry and contribute to groundbreaking solutions. Join a Strong Team: Collaborate with top experts worldwide and grow alongside the best. Work-Life Balance & Well-being: Modern equipment. Comfortable working conditions, and an inspiring environment to help you thrive. 24 calendar days of paid leave. Additional days off for national holidays. With us, you’ll dive into the world of unique blockchain technologies, reshape the crypto landscape, and become an innovator in your field. If you’re ready to take on challenges and join our dynamic team, apply now and start a new chapter in your career! Let’s Build the Future Together! WhiteBIT offers all candidates an equal opportunity to join the team. All hiring decisions are made without regard to race, national origin, gender identity or sexual orientation, age, religion, disability, medical condition, marital status, familial status, veteran status, or any other legally protected characteristic of an individual. Your privacy matters to us. You can learn more about how we handle your personal data with regard to your application in our Candidate Privacy Notice .

Location: Czech Republic - Remote Wrike is the most powerful work management platform. Built for teams and organizations looking to collaborate, create, and exceed every day, Wrike brings everyone and all work into a single place to remove complexity, increase productivity, and free people up to focus on their most purposeful work. Wrike is our people, not a place. As a distributed team, we own our growth, stay globally connected, and rely on the product we build to deliver impactful work alongside brilliant minds. You'll have real ownership over meaningful work, a global team that has your back, and the flexibility to do your best work your way. If that sounds like you, we'd love to hear from you. Our vision: A world where everyone is free to focus on their most purposeful work, together. About the Role: As a CloudOps Engineer at Wrike, you have advanced skills in supporting cloud and on-prem data center infrastructure with security in mind. You know how to work with containers, networking, monitoring, automation, and debugging a reasonably complex infrastructure. You feel comfortable defining your own work based on the team OKRs. You can also help others do so when necessary. You are used to proposing meaningful improvements to the existing infrastructure in alignment with architects and tech leads, and you can drive the execution In this specific role, you will take ownership of the design, implementation, and lifecycle management of our Network Infrastructure across hybrid environments. You bring deep, hands-on expertise in architecting resilient network topologies, configuring core routing and switching, managing firewalls, and securing connectivity between cloud providers and on-premise data centers. Your Impact: Keep our infrastructure and company information safe with reliable network security Keep our services running smoothly and fast for users around the clock Managing the Wrike product infrastructure Implementing reliable solutions to ensure a product uptime SLA of 99.9% Working with GCP, AWS and other cloud providers in the IaC paradigm Introducing and supporting new infrastructure services Actively participating in incident response and management, including on-call duties Developing and maintaining professional connections within and outside of the team Your Qualifications: Juniper/Cisco devices underlying network infra Kubernetes and ArgoCD Nginx, HAproxy and Istio for load balancing GCP, AWS and Cloudflare are our main cloud providers Puppet, Ansible and Terraform for defining everything as a code Python to automate everything Prometheus (VictoriaMetrics) and Zabbix for monitoring Graylog, Logstash, Fluentd for logging Jenkins and Gitlab-CI for building pipelines Upper Intermediate English skills Standout Qualities: Experience with working with enterprise-grade infrastructure and SaaS solutions Profound knowledge of network technologies, data transmission protocols, network architecture, and equipment Experience working with BGP, OSPF, EVPN, STP, IPsec protocols Familiarity with Linux, iptables, Nginx, HAproxy, and keepalive Understanding of information security principles and the ability to apply them to network architecture Sufficient scripting skills in Python/Bash or other scripting languages Strong analytical abilities and problem-solving skills Team Dynamics: Your manager will be Dmitrii Vlasov, SysOps Team Lead We have two dozen folks in the SysOps Department, consisting of four teams distributed in Prague, Nicosia, Rennes and Tallinn Our Work Style: Scrum based processes (daily standups, biweekly plannings, quarterly plannings) Hybrid mode (1-2 days per week) On-call shifts in production and development environments What’s Next? Introduction Call with a Recruiter Technical interview Cultural interview Benefits & Perks: 25 calendar days of paid vacation Sick Leave Compensation (5 Paid Uncertified Sick Days) Parental Leave: 18 Weeks Maternity / 4 Week Paternity 2 Volunteer Days Medical Insurance (Employees + Dependents) Hybrid Working Model School Allowance (Up to €600/month for school aged kids) Simcard w/ Unlimited Internet Access for active employees Office Lunch Allowance (via Wolt) on Wednesdays / Thursdays Your recruitment buddy will be Alexandra Vorobyova , Lead Recruiter. #LI-AV1 Who Is Wrike and Our Culture We’re a team of innovators and creators who solve the complex work problems of today and tomorrow. Hybrid work mode Wrike is our people, not a place. With 1,000+ employees collaborating across nearly every time zone, we support talent through 10 global hubs — Australia, Costa Rica, Cyprus, Czechia, Estonia, France, India, Ireland, Japan, and the United States — offering flexible ways of working that include remote work, hybrid environments, and co-working spaces across many locations. While flexibility looks different across teams and regions, employees located near certain hubs — particularly in Prague (CZ), Nicosia (CY), Bangalore (IN), and Rennes (FR) — are generally expected to collaborate in person around 2–3 days per week, balancing the flexibility of distributed work with opportunities for in-person collaboration and connection. Our persona 💡  Smart: We love what we do, and we’re great at it because this is our domain. Our combined knowledge in this space is unmatched. 💚  Dedicated: We get up every day focused on helping our customers win. We’re committed to helping our teammates win, too! 🤗  Approachable: We're friendly, easy to get along with, considerate, and helpful. Our culture and Values 🤩 Customer-Focused We care about our customers. We understand the customer journey, experience, and value derived from Wrike. Decision-making and action-taking are done with the customer in mind. 🤝 Collaborative We work as one and win together, each bringing unique strengths that contribute to diversity of thought for better outcomes. Leveraging our own work management platform, we foster an environment of creative collaboration and shared achievement. 🎨 Creative We strive to succeed through continuous innovation. It’s our pursuit of novel concepts that helped us create a market category. We continue to cultivate a workplace that fosters creative thinking as a means of transcending conventional boundaries and empowers us to break new ground to deliver extraordinary work management solutions. 💪 Committed We believe in ownership at all levels of the organization, by owning workflows from start to finish. Each member of our team is an integral part of this commitment, establishing work as a platform for personal growth and transformation, as well as collective success and growth. Check out our LinkedIn Life Page , Company culture page , Instagram , Wrike Engineering Team , Medium , Meetup.com , Youtube for a feel for what life is like at Wrike.

Location: Prague Wrike is the most powerful work management platform. Built for teams and organizations looking to collaborate, create, and exceed every day, Wrike brings everyone and all work into a single place to remove complexity, increase productivity, and free people up to focus on their most purposeful work. Wrike is our people, not a place. As a distributed team, we own our growth, stay globally connected, and rely on the product we build to deliver impactful work alongside brilliant minds. You'll have real ownership over meaningful work, a global team that has your back, and the flexibility to do your best work your way. If that sounds like you, we'd love to hear from you. Our vision: A world where everyone is free to focus on their most purposeful work, together. About the Role: As a CloudOps Engineer at Wrike, you have advanced skills in supporting cloud and on-prem data center infrastructure with security in mind. You know how to work with containers, networking, monitoring, automation, and debugging a reasonably complex infrastructure. You feel comfortable defining your own work based on the team OKRs. You can also help others do so when necessary. You are used to proposing meaningful improvements to the existing infrastructure in alignment with architects and tech leads, and you can drive the execution In this specific role, you will take ownership of the design, implementation, and lifecycle management of our Network Infrastructure across hybrid environments. You bring deep, hands-on expertise in architecting resilient network topologies, configuring core routing and switching, managing firewalls, and securing connectivity between cloud providers and on-premise data centers. Your Impact: Keep our infrastructure and company information safe with reliable network security Keep our services running smoothly and fast for users around the clock Managing the Wrike product infrastructure Implementing reliable solutions to ensure a product uptime SLA of 99.9% Working with GCP, AWS and other cloud providers in the IaC paradigm Introducing and supporting new infrastructure services Actively participating in incident response and management, including on-call duties Developing and maintaining professional connections within and outside of the team Your Qualifications: Juniper/Cisco devices underlying network infra Kubernetes and ArgoCD Nginx, HAproxy and Istio for load balancing GCP, AWS and Cloudflare are our main cloud providers Puppet, Ansible and Terraform for defining everything as a code Python to automate everything Prometheus (VictoriaMetrics) and Zabbix for monitoring Graylog, Logstash, Fluentd for logging Jenkins and Gitlab-CI for building pipelines Upper Intermediate English skills Standout Qualities: Experience with working with enterprise-grade infrastructure and SaaS solutions Profound knowledge of network technologies, data transmission protocols, network architecture, and equipment Experience working with BGP, OSPF, EVPN, STP, IPsec protocols Familiarity with Linux, iptables, Nginx, HAproxy, and keepalive Understanding of information security principles and the ability to apply them to network architecture Sufficient scripting skills in Python/Bash or other scripting languages Strong analytical abilities and problem-solving skills Team Dynamics: Your manager will be Dmitrii Vlasov, SysOps Team Lead We have two dozen folks in the SysOps Department, consisting of four teams distributed in Prague, Nicosia, Rennes and Tallinn Our Work Style: Scrum based processes (daily standups, biweekly plannings, quarterly plannings) Hybrid mode (1-2 days per week) On-call shifts in production and development environments What’s Next? Introduction Call with a Recruiter Technical interview Cultural interview Benefits & Perks: 25 calendar days of paid vacation Sick Leave Compensation (5 Paid Uncertified Sick Days) Parental Leave: 18 Weeks Maternity / 4 Week Paternity 2 Volunteer Days Medical Insurance (Employees + Dependents) Hybrid Working Model School Allowance (Up to €600/month for school aged kids) Simcard w/ Unlimited Internet Access for active employees Office Lunch Allowance (via Wolt) on Wednesdays / Thursdays Your recruitment buddy will be Alexandra Vorobyova , Lead Recruiter. #LI-AV1 Who Is Wrike and Our Culture We’re a team of innovators and creators who solve the complex work problems of today and tomorrow. Hybrid work mode Wrike is our people, not a place. With 1,000+ employees collaborating across nearly every time zone, we support talent through 10 global hubs — Australia, Costa Rica, Cyprus, Czechia, Estonia, France, India, Ireland, Japan, and the United States — offering flexible ways of working that include remote work, hybrid environments, and co-working spaces across many locations. While flexibility looks different across teams and regions, employees located near certain hubs — particularly in Prague (CZ), Nicosia (CY), Bangalore (IN), and Rennes (FR) — are generally expected to collaborate in person around 2–3 days per week, balancing the flexibility of distributed work with opportunities for in-person collaboration and connection. Our persona 💡  Smart: We love what we do, and we’re great at it because this is our domain. Our combined knowledge in this space is unmatched. 💚  Dedicated: We get up every day focused on helping our customers win. We’re committed to helping our teammates win, too! 🤗  Approachable: We're friendly, easy to get along with, considerate, and helpful. Our culture and Values 🤩 Customer-Focused We care about our customers. We understand the customer journey, experience, and value derived from Wrike. Decision-making and action-taking are done with the customer in mind. 🤝 Collaborative We work as one and win together, each bringing unique strengths that contribute to diversity of thought for better outcomes. Leveraging our own work management platform, we foster an environment of creative collaboration and shared achievement. 🎨 Creative We strive to succeed through continuous innovation. It’s our pursuit of novel concepts that helped us create a market category. We continue to cultivate a workplace that fosters creative thinking as a means of transcending conventional boundaries and empowers us to break new ground to deliver extraordinary work management solutions. 💪 Committed We believe in ownership at all levels of the organization, by owning workflows from start to finish. Each member of our team is an integral part of this commitment, establishing work as a platform for personal growth and transformation, as well as collective success and growth. Check out our LinkedIn Life Page , Company culture page , Instagram , Wrike Engineering Team , Medium , Meetup.com , Youtube for a feel for what life is like at Wrike.

Location: Nicosia Wrike is the most powerful work management platform. Built for teams and organizations looking to collaborate, create, and exceed every day, Wrike brings everyone and all work into a single place to remove complexity, increase productivity, and free people up to focus on their most purposeful work. Wrike is our people, not a place. As a distributed team, we own our growth, stay globally connected, and rely on the product we build to deliver impactful work alongside brilliant minds. You'll have real ownership over meaningful work, a global team that has your back, and the flexibility to do your best work your way. If that sounds like you, we'd love to hear from you. Our vision: A world where everyone is free to focus on their most purposeful work, together. About the Role: As a CloudOps Engineer at Wrike, you have advanced skills in supporting cloud and on-prem data center infrastructure with security in mind. You know how to work with containers, networking, monitoring, automation, and debugging a reasonably complex infrastructure. You feel comfortable defining your own work based on the team OKRs. You can also help others do so when necessary. You are used to proposing meaningful improvements to the existing infrastructure in alignment with architects and tech leads, and you can drive the execution In this specific role, you will take ownership of the design, implementation, and lifecycle management of our Network Infrastructure across hybrid environments. You bring deep, hands-on expertise in architecting resilient network topologies, configuring core routing and switching, managing firewalls, and securing connectivity between cloud providers and on-premise data centers. Your Impact: Keep our infrastructure and company information safe with reliable network security Keep our services running smoothly and fast for users around the clock Managing the Wrike product infrastructure Implementing reliable solutions to ensure a product uptime SLA of 99.9% Working with GCP, AWS and other cloud providers in the IaC paradigm Introducing and supporting new infrastructure services Actively participating in incident response and management, including on-call duties Developing and maintaining professional connections within and outside of the team Your Qualifications: Juniper/Cisco devices underlying network infra Kubernetes and ArgoCD Nginx, HAproxy and Istio for load balancing GCP, AWS and Cloudflare are our main cloud providers Puppet, Ansible and Terraform for defining everything as a code Python to automate everything Prometheus (VictoriaMetrics) and Zabbix for monitoring Graylog, Logstash, Fluentd for logging Jenkins and Gitlab-CI for building pipelines Upper Intermediate English skills Standout Qualities: Experience with working with enterprise-grade infrastructure and SaaS solutions Profound knowledge of network technologies, data transmission protocols, network architecture, and equipment Experience working with BGP, OSPF, EVPN, STP, IPsec protocols Familiarity with Linux, iptables, Nginx, HAproxy, and keepalive Understanding of information security principles and the ability to apply them to network architecture Sufficient scripting skills in Python/Bash or other scripting languages Strong analytical abilities and problem-solving skills Team Dynamics: Your manager will be Dmitrii Vlasov, SysOps Team Lead We have two dozen folks in the SysOps Department, consisting of four teams distributed in Prague, Nicosia, Rennes and Tallinn Our Work Style: Scrum based processes (daily standups, biweekly plannings, quarterly plannings) Hybrid mode (1-2 days per week) On-call shifts in production and development environments What’s Next? Introduction Call with a Recruiter Technical interview Cultural interview Benefits & Perks: 25 working days of paid vacation Sick Leave Compensation (5 Uncertified + 10 Certified Days) Parental Leave: Fully Paid Maternity / 4 Weeks Paid Paternity 2 Volunteer Days Medical Insurance (Employees + Dependents) Life Insurance (Employees) Provident Fund Hybrid Working Model School Allowance (Up to €600/month for school aged kids) Simcard w/ Unlimited Internet Access for active employees Office Lunch Allowance (via Wolt) on Wednesdays / Thursdays Work Permit, Blue Card & Naturalization Support Your recruitment buddy will be Alexandra Vorobyova , Lead Recruiter. #LI-AV1 Who Is Wrike and Our Culture We’re a team of innovators and creators who solve the complex work problems of today and tomorrow. Hybrid work mode Wrike is our people, not a place. With 1,000+ employees collaborating across nearly every time zone, we support talent through 10 global hubs — Australia, Costa Rica, Cyprus, Czechia, Estonia, France, India, Ireland, Japan, and the United States — offering flexible ways of working that include remote work, hybrid environments, and co-working spaces across many locations. While flexibility looks different across teams and regions, employees located near certain hubs — particularly in Prague (CZ), Nicosia (CY), Bangalore (IN), and Rennes (FR) — are generally expected to collaborate in person around 2–3 days per week, balancing the flexibility of distributed work with opportunities for in-person collaboration and connection. Our persona 💡  Smart: We love what we do, and we’re great at it because this is our domain. Our combined knowledge in this space is unmatched. 💚  Dedicated: We get up every day focused on helping our customers win. We’re committed to helping our teammates win, too! 🤗  Approachable: We're friendly, easy to get along with, considerate, and helpful. Our culture and Values 🤩 Customer-Focused We care about our customers. We understand the customer journey, experience, and value derived from Wrike. Decision-making and action-taking are done with the customer in mind. 🤝 Collaborative We work as one and win together, each bringing unique strengths that contribute to diversity of thought for better outcomes. Leveraging our own work management platform, we foster an environment of creative collaboration and shared achievement. 🎨 Creative We strive to succeed through continuous innovation. It’s our pursuit of novel concepts that helped us create a market category. We continue to cultivate a workplace that fosters creative thinking as a means of transcending conventional boundaries and empowers us to break new ground to deliver extraordinary work management solutions. 💪 Committed We believe in ownership at all levels of the organization, by owning workflows from start to finish. Each member of our team is an integral part of this commitment, establishing work as a platform for personal growth and transformation, as well as collective success and growth. Check out our LinkedIn Life Page , Company culture page , Instagram , Wrike Engineering Team , Medium , Meetup.com , Youtube for a feel for what life is like at Wrike.

Location: Berlin, Germany; Aachen, Germany; Augsburg, Germany; Bad Homburg, Germany; Baden-Baden, Germany; Bergisch Gladbach, Germany; Bernau, Germany; Bielefeld, Germany; Bramsche, Germany; Chemnitz, Germany; Darmstadt, Germany; Dresden, Germany; Dusseldorf, Germany; Düsseldorf, Germany; Essen, Germany; Frankfurt, Germany; Freiburg, Germany; Geoergsmarienhütte, Germany; Görlizt, Germany; Göttingen, Germany; Greifswald, Germany; Halle, Germany; Hamburg, Germany; Hannover, Germany; Heinsberg, Germany; Karlsruhe, Germany; Kiel, Germany; Koln, Germany; Leipzig, Germany; Leverkusen, Germany; Lingen, Germany; Magdeburg, Germany; Mainz, Germany; Mittenwalde, Germany; Munich, Germany; Münster, Germany; Neu-Ulm, Germany; Neuruppin, Germany; Neuss, Germany; Nuremberg, Germany; Osnabrück, Germany; Paderborn, Germany; Potsdam, Germany; Quedlinburg, Germany; Rimbach, Germany; Rostock, Germany; Schwerin, Germany; Stuttgart, Germany; Ulm, Germany; Varel, Germany; Viechtach, Germany; Warendorf, Germany; Wiesbaden, Germany; Wuppertal, Germany Workplace: hybrid At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking an Account Executive 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. A newly funded cybersecurity startup in Berlin is looking for an Account Executive to join as a team member and help to build startup foundations of a next-generation AI-powered security risk management platform. Key Responsibilities Build and work your own pipeline into enterprise Sell to IT, security and AI leaders Run discovery and demos; bring in our Chief Security Architect for deep technical sessions Own commercial terms — pricing, MSA, DPA, AI Annex — through to signature Keep HubSpot current and forecast weekly Write the playbook the next reps will use — messaging, objection handling, qualification Work our events (it-sa, Black Hat Europe) and convert what comes out of them Cooperate closely with Product Help define pricing and packaging as we learn what the market pays for Opportunity to Grow into leading the sales team as we scale Must have 3+ years closing B2B SaaS, full-cycle — you booked your own meetings, not just took handoffs Fluent business English Experience with German procurement and legal processes Comfortable in technical conversations with security or engineering buyers Early-stage experience, or clear evidence of operating without process in place Based in Berlin or willing to relocate Comfortable working directly with founders and senior stakeholders Ability to build things from scratch at early stage startup High ownership mentality, startup mindset, and ability to move quickly. Experience in early stage startup or scale-up environments Low ego, high commitment, and a true tech startup mentality . Strong problem-solving skills and ability to work in a collaborative environment. Nice to have Cybersecurity, identity, IAM or developer tooling background Fluency in German e-commerce, Fintech sales experience First-sales-hire experience at a startup Senior enough to grow into Head of Sales You are a fan of rock or metal music Benefits Founding Team Member Equity — ESOPs in a cybersecurity company. Competitive Compensation — salary aligned with market, flexible early-stage arrangements possible. Fresh Funding Secured — immediate runway to build, hire, and execute fast. Security Contribution — contribute to security architecture across identity, AI agents, and enforcement. High Autonomy — freedom to design and build without corporate overhead. Work with a Technical CEO — fast iteration, strong alignment, clear direction. Cutting-Edge Domain — identity security, SaaS-to-SaaS access, AI agent governance. Massive Learning Curve — quickly gain depth in cybersecurity, identity, and AI systems. Fast Career Path — opportunity evolve into leadership as we scale the engineering team Berlin Location — top-tier tech environment with strong cybersecurity and AI ecosystems. Direct Impact — your architecture and code become the foundation of the entire platform. Best Equipment and Tools - High quality equipment and modern tools to help you do your best work from day one. Team Offsites - Regular team offsites designed to build strong connections, alignment, and shared momentum.

Location: Berlin Workplace: Hybrid At Upvest, we are on a mission to make investing as easy as spending money. Upvest empowers businesses to offer a wide range of investment products and the best experience in the field of capital market investment and retirement planning. Upvest’s Investment API is easy to integrate so that fintechs and financial institutions can save resources and fully focus on their core business. We are proud to partner with Europe's leading Fintechs and Financial Institutions such as DKB, Revolut, N26, and Raisin. Founded in 2017 by Martin Kassing, Upvest now brings together over 330 talented professionals from more than 70 nationalities. Upvest is backed by €280M in total funding from world-class investors, including Tencent, Sapphire Ventures, Bessemer Venture Partners, BlackRock, Earlybird, Notion Capital, and Motive. Our latest €105M funding round in March 2026 - led by Sapphire and Tencent - serves as a massive catalyst for our growth, allowing us to offer premier investment experiences. As Upvest enters the next stage of growth, we are looking for an exceptional sales leader for continental Europe. You will work directly with our Director of Growth Alexander Reichhardt https://www.linkedin.com/in/alexander-reichhardt-87b6a9b0/owning the topics most critical to Upvest's expansion beyond its current home markets: ABOUT THE ROLE: OWN THE GO-TO-MARKET FOR EUROPE'S NEXT INVESTMENT MARKETS We aim high at Upvest. Over the last years we have built one of Europe's most relevant B2B fintechs: an Investment API on top of a self-developed core banking engine, with full regulatory licences and investment operations included. Germany and the UK are proven, with more than 20 clients live and over 110 million trades processed in 2025. Our licences are passported across 20+ EEA countries, which means the infrastructure for the rest of Europe is already in place. From here we’re on a journey to enter market by market in Europe, starting with France, Spain, and Italy. This is your opportunity to turn our foundation into a flywheel for new markets. You will own the go-to-market for continental Europe end-to-end: defining which client segments we go after first, from fast-growing fintechs to established banks, building the target list and the pipeline behind it, and shaping the commercial case that wins against local incumbents and against the instinct of large banks to build it all themselves. LEAD HIGH-STAKES SALES AND WIN COMPLEX DEALS WITH FINANCIAL INSTITUTIONS Our clients include the most ambitious fintechs and the most demanding financial institutions in Europe. Winning their business requires enterprise commercial rigour, deep domain knowledge, and genuine client partnership. Deals run over many months, involve procurement, risk, compliance and IT, and are won on substance rather than volume. Since inception we have been delivering on such high touch deals with clearly defined sales journeys, strong materials, and a unique approach now amplified by AI. You will lead those deals personally before you lead them through others. That means owning the largest opportunities in your region yourself, from first conversation to signature, while bringing the discipline that makes the motion repeatable: rigorous qualification, value-based and consultative selling, predictable forecasting, and a clear view on where not to spend time. You use AI actively to increase your own coverage and later that of your team, and you feed what you learn from clients back into product, solutions, and marketing. ATTRACT, DEVELOP AND LEAD A BEST-IN-CLASS SALES TEAM IN EUROPEAN FINTECH Building world-class financial infrastructure requires world-class people. At Upvest we put hiring excellence and people development front and centre. The Growth team today features talented, driven people coming from Europe's leading fintechs, financial institutions, and technology companies, with Sales working side by side with revenue ops, marketing, partnerships, and solutions engineering on shared targets. With inspiring yet pragmatic and hands-on leadership you will build the European sales team around you. You will set the bar for the talent you hire, ramp new Account Executives fast, set and steer their targets, and coach them through cycles that few people have run before. You will be measured on what your team closes as much as on what you close yourself, and you will keep carrying a quota personally for as long as this stage of the business asks for it. WHAT YOU’LL DO: - Real ownership of a region: This is a defining hire for our European expansion. You own commercial success for your markets, with Alexander https://www.linkedin.com/in/alexander-reichhardt-87b6a9b0/, our Co-Founder Til Rochow https://www.linkedin.com/in/tilrochow/, and the rest of senior leadership as your close sparring partners and supporters. - A product that gives you an unfair advantage: Our Investment API is genuinely differentiated, a full-stack B2B investment infrastructure crafted with the best product principles and most modern tech stack in the industry. It is live, regulated by BaFin and the FCA, and proven at scale with clients such as DKB, Revolut, N26, and Raisin. - A team that takes the work seriously: Upvest's Growth team, and the company around it, is one of a kind when it comes to combining impactful work with a collaborative and fun culture. You will have dedicated revenue ops, solutions engineering, marketing, and partnerships colleagues working with you on your deals, and strong practices around feedback, psychological safety, and team health. - The complexity and richness of financial infrastructure: Working at the intersection of API-first SaaS and regulated financial services, with clients ranging from hypergrowth fintechs to global banks, is one of the most strategic and commercially interesting places to be. Every client relationship and every deal teaches you something new. If you are intellectually curious about how financial markets and products are being rebuilt from the ground up, this is the role for you. - Flexibility with a European footprint: We are a Berlin- and London-headquartered company with a growing presence across Europe. We are equally open to candidates based in one of Europe's financial hubs, in particular Paris, Madrid, and Milan, who are willing to spend meaningful time in Berlin. What matters most is the quality of your leadership and the results you deliver. WHAT YOU BRING: - 5+ years in senior sales roles, including at least two years leading a team, within high-growth B2B technology and financial services. You have sold API-based enterprise SaaS into fintechs, banks, brokers or wealth managers, and you know financial infrastructure such as core-banking or securities processing. - A proven track record of closing complex, high-value deals with financial institutions, and of building the foundations that make doing so repeatable. You have taken a sales team from first foundations to early scale, with a proven track-record of exceeding ambitious revenue targets - Genuine European reach: You have sold across several European countries, with direct experience in at least one of France, Spain or Italy, a strong network in the world of banking and finance - A modern approach to sales: customer-centric, value-based, data-driven, and AI-enabled. You have strong views on what great looks like, from qualification frameworks to CRM hygiene to how account plans and collaboration roadmaps have the highest impact and are enabled by and enhanced with AI, and you turn those views into standards the team works to. - Hands-on ownership with strategic foresight: You operate practically, think in second-order effects to get complex deals across the line, and you are genuinely comfortable carrying quota yourself at this stage rather than only managing others who do. - Outstanding people leadership: You hire exceptional people, develop them continuously, and create a non-hierarchical, inclusive and respectful environment where the best talent chooses to stay and grow. You lead with clarity, empathy, and high standards. - Fluent English plus native-level in either French, Spanish, or Italian. Investment domain knowledge, experience selling regulated products, and time at a tier-1 growth company are a strong plus. HOW WE UPVEST IN YOU: - Best-in-class AI tools: Every Upvenger has €20,000 per year to spend on the best AI tools available — so you're always working with the most powerful models and tooling on the market. - Impact-driven work: We’re building the infrastructure that will power the future of investing in Europe. It’s complex, ambitious, and meaningful. You’ll work with modern technologies and create something entirely new. No legacy systems, no limits. - Wellbeing: Recharge with 30 days of annual leave and maintain a healthy lifestyle with sports benefits. Access confidential professional coaching and enjoy the flexibility to work remotely abroad for up to 183 days a year. Recharge with UpRest, a one-month fully paid sabbatical after every 4 years of working at Upvest. - Development: Growth is in our DNA. Each Upvenger has access to a personal development budget and the freedom to decide how to use it. - Compensation and equity: We believe that all Upvengers contribute to our success and deserve a competitive, above-market salary and a participation in our employee equity program. - Team celebrations: Participate in company-wide events, such as UpFest, dinners, offsites and our Holiday party, to connect with colleagues and celebrate our achievements. - Inclusion: We’re committed to a culture where everyone belongs and thrives. Our Employee Resources Groups foster inclusion and connection, like Upfem for our female Upvengers, or UpVergent supporting neurodivergent Upvengers and allies. OUR VALUES: - Make it easy for others. We simplify the complex and act with the best intentions. - Own the outcome. We are proactive, fast and confident to get the job done, valuing progress over perfection. - Rise to the challenge. We aim high and push the boundaries. We stay curious, learn and celebrate our wins together. - Tell the story. We start with the Why to align on purpose. We are transparent and share knowledge to empower and inspire others. Upvest is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

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 A connected Claude is the difference between a general-purpose chatbot and a real coworker. We're building the connected enterprise on three fronts: zero-touch activation, a thriving connector ecosystem, and an enterprise control plane that lets organizations adopt with confidence. We own the path from discovering a connector to using it every day: default and suggested connectors, one-click setup, connector requests, and the identity and admin pieces that remove setup friction for a whole organization at once. You'll be a technical leader who owns activation end to end, from the moment someone sees a connector to their first successful use of it. You'll also help to shape the foundations that help the connector ecosystem grow, and the governance controls that make it safe at enterprise scale. You'll partner closely with product, design and data science, and carry real ownership over what we ship next. What you'll do Own connector activation end to end: measure the funnel from discovery to first use to habit, find the biggest drop-offs, and fix them Build and run experiments on default connectors, in-product suggestions, connector requests and onboarding flows Make setup close to zero-touch, building on open standards like Cross App Access (XAA) and the MCP authorization spec so one approval can turn a connector on for everyone Improve the connectors people reach for most, like Microsoft 365 and Google Workspace, so the first experience works and keeps working Lay platform foundations for the connector ecosystem: reusable building blocks that make every new connector easier to launch, discover and activate Build out the enterprise control plane: admin controls and governance (domain restrictions, labels, permissions) that help security teams say yes faster instead of blocking rollout Partner with product, design, data science and sales to turn usage data and customer feedback into priorities Set technical direction and standards for the team, mentor other engineers, and lead with influence rather than authority Minimum Qualifications Have shipped growth or activation work: onboarding flows, funnels, experimentation, and measuring what actually moves usage Are comfortable with authorization and identity (OAuth 2.0, OIDC, SSO), enough to make setup flows simple without cutting corners Have built on large platform APIs (Microsoft Graph, Google Workspace or similar) and can debug failures on both sides of the boundary Have built platform or ecosystem surfaces that other teams or developers rely on, and care about durable, well-designed APIs Understand what enterprise admins and security teams need from policy, permissions and governance at scale Use data and user research to decide what to build, and can explain the tradeoffs to product and design partners Drive cross-team and cross-company alignment to ship, with influence over authority Preferred Qualifications Have 8+ years of software engineering experience, ideally with 2+ years at a Staff or equivalent technical leadership level Contributed to or implemented emerging auth standards (IETF OAuth drafts, MCP authorization) Experience with data governance or information protection (sensitivity labels, DLP) Built admin consoles or policy engines for multi-tenant SaaS Run growth experiments on activation funnels Built AI products or agent tool integrations (MCP) Helped grow a developer or partner ecosystem around a platform The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $405,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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-Friendly, United States 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 Anthropic's compute runs on a growing global portfolio of data centers built with development partners.  As a Senior Field Engineer on the Data Center Design and Engineering team, you will work side by side with developers, general contractors and engineers of record to resolve technical issues on site and speed up construction. You will spend most of your time on active sites, acting as our team's eyes, voice and technical judgment in the field. You will spot problems first, get the right people moving, and stay with each issue until it is closed. You don't need a data center background. We care more about whether you have delivered complex industrial projects from the field and can get contractors and partners to act when you have no formal authority over them. What you'll do Be our engineering presence on site. You will walk installed work against the approved design and build working relationships with developers, general contractors, engineers of record, vendors and commissioning teams. You will hold design acceptance on our team's behalf, deciding whether installed work meets the design. When field conditions and drawings disagree, you will be the first call. You will settle what you can on the spot and bring in the right discipline engineer for the rest. More than 50% of your working time will be at project sites, often with overnight travel across multiple sites. The rest will be remote from your home base. Get issues closed. You will keep one prioritized list of open engineering issues for your sites, each with an owner and a date. You will follow up in person, challenge dates that don't hold up, and escalate early with a clear recommendation when something is stuck. Find out why things fail. When equipment, an installation or a test fails, you will gather the evidence, test the first explanation, and trace the failure to its underlying cause. You will confirm that the fix works and check whether other sites carry the same risk. Clear the path to commissioning and handover. You will check the interfaces between power, cooling, controls and structure before they surface as test failures. You will drive RFIs, deviations and field changes to decisions, so that open engineering questions don't hold up the crews. Bring the field back into the design. You will turn recurring site problems into changes to our designs, standards and audit checklists. Each project should make the next one easier to deliver. What this role is not You won't manage construction crews or direct contractors' means and methods; those stay with our construction delivery partners. You will work with our discipline engineers and hold the field view, rather than produce design documents. You may be a good fit if you Have spent years on active project sites in energy, power, heavy industrial, data center or similar environments, as an engineer, project manager, or construction or commissioning lead Can read drawings, single-line diagrams, P&IDs, specifications and schedules well enough to see where they disagree with what's been installed Can give specific examples of persuading contractors, vendors or partners who didn't report to you to change course Hold your position under pressure, back it with evidence, deliver bad news early, and change your mind when the facts change Have led structured failure investigations, using a method such as 5 Whys or 8D, and seen the corrective actions through Write short, factual reports that a busy reader can act on Treat safety as your own job, and will stop work that isn't safe Have a degree in engineering, construction management or a related field, or equivalent practical experience Strong candidates may also have Experience as an owner's representative overseeing an EPC or general contractor Commissioning, startup or system turnover experience Worked in LNG, refining, offshore, power generation, semiconductor or naval environments An electrical, mechanical or civil, structural and architectural (CSA) engineering background A PE license, PMP or OSHA 30 certification Familiarity with tools such as Procore or Primavera P6 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 — $405,000 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA • New York, NY Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! The mission of the Figma Security team is to help Figmates ship the most secure and safe product to our users. As a PhD Intern, Security Engineer you will work on an impactful project to improve the security of Figma’s product, platform, or infrastructure, working closely with a mentor and teammates while applying your research background to drive real-world impact. You will partner closely with teams across the company, focus on systemic security improvements and risk reduction, and participate in operational security responsibilities like security reviews, consulting, vulnerability triage, and security incident response. This is a 12 or 16-week internship role that can be held from one of our US hubs (San Francisco or New York) starting in May or June of 2027. What you’ll do at Figma: Perform technical security assessments, code audits, and design reviews Design and develop solutions to prevent or mitigate security vulnerabilities across Figma’s products, services and infrastructure Lead and support security investigations, developing the datasets, tooling, and analysis that help us scope incidents, understand root cause, and reduce time to detect and respond Translate threat intelligence into action, operationalizing intel on relevant threat actors and techniques to prioritize detection coverage, harden high-risk surfaces, and guide security strategy We’d love to hear from you if you have: Current enrollment as a 4th or 5th year senior PhD student in a Computer Science program with a focus in Security or a related field Proficiency in at least one general-purpose coding language A track record in applying security techniques to projects in academia or industry, with excellent domain knowledge in at least one relevant area such as AI Safety/Evaluation, Useable security, Anti-abuse, Anti-fraud, detection and response or similar Strong knowledge of statistical methods and/or experimental design Experience solving sophisticated problems and comparing alternative solutions, trade-offs, and diverse points of view to determine a path forward While it’s not required, it’s an added plus if you also have: Related industry experience via a past internship or full-time role Proven expertise in security through publications at top security conferences like USENIX Security, NDSS, CCS, IEEE S&P Strong communication and interpersonal skills, with demonstrated experience collaborating across functions Experience using AI tools (e.g., GitHub Copilot, ChatGPT, Claude) to write, debug, and optimize code A good understanding of at least two of Linux/Unix/Mac-based systems security, AWS security, Cloud SaaS Security, applied cryptography, anti-abuse, or web application security At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Pay Transparency Disclosure This internship role is based in either Figma’s San Francisco or New York hub offices, and has the hourly base pay rate stated below.  Figma also offers interns a housing stipend and travel reimbursement. Figma’s compensation and benefits are subject to change and may be modified in the future. Internship $74 — $74 USD At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status , or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to accommodations-ext@figma.com . These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. Examples of accommodations include but are not limited to: Holding interviews in an accessible location Enabling closed captioning on video conferencing Ensuring all written communication be compatible with screen readers Changing the mode or format of interviews To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Figma's Candidate Privacy Notice . Application limits: To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles: Candidates may submit up to 5 applications during any rolling 30-day period. Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection. Once the applicable days has passed, candidates are welcome to apply again.

Location: Spain; Portugal; Poland; Hungary; Czechia Action1 is an autonomous patch management platform trusted by many Fortune 500 companies. Cloud-native, infinitely scalable, highly secure, and configurable in 5 minutes, it just works and is always free for the first 200 endpoints, with no functional limits. By pioneering autonomous OS and third-party application patching, Action1 helps organizations eliminate routine work, reduce ransomware and security risks, and protect the digital employee experience. It provides real-time vulnerability assessment and remediation across remote and on-site endpoints without requiring a VPN, while peer-to-peer patch distribution reduces bandwidth use on local networks. In 2026, Action1 was recognized as the fastest-growing founder-led cybersecurity company in America on the Inc. 5000. Action1 is led by industry veterans Alex Vovk and Mike Walters, American entrepreneurs who founded Netwrix, which has grown into an industry-leading, multibillion-dollar cybersecurity company. The Role We are looking for a senior Applied AI Engineer to join Operations and improve how our business teams work. You will work directly with Support, Finance, Sales Ops, HR, IT, and Legal to turn repetitive tasks and disconnected workflows into reliable AI-powered tools and automations. We build AI to solve real problems, not to follow hype or impress investors. You will investigate how work gets done, propose improvements, and own technical decisions and delivery. We expect you to take initiative, deliver useful results quickly, and improve solutions through short iterations and feedback. What you’ll do Work with teams to understand their workflows, find bottlenecks, and propose improvements. Agree process changes with the COO and relevant teams before implementation. Build AI tools and automations that connect business systems and handle tasks such as document processing or ticket triage. Deliver working versions quickly and improve them through feedback. Prioritize opportunities by time saved, error reduction, and risk. Measure whether solutions deliver those benefits, reduce costs, and are actually used. Run and support what you build. Test AI outputs, keep integrations reliable as systems change, and manage failures, latency, and cost. Protect customer and employee data through limited access, minimal exposure, and redaction before model calls. Work with IT and Security on safeguards, audit trails, and human review where needed. Evaluate AI tools and vendors, and recommend when to use an existing solution versus building one. Document workflows and runbooks, train teams to use the solutions, and help them identify and request further automations. What we’re looking for 4+ years in operations engineering, business systems, automation, or a similar role, with 1+ years building production LLM or AI-enabled workflows. Hands-on experience with workflow automation platforms and REST APIs, webhooks, JSON, and OAuth. Strong working knowledge of prompt design, retrieval-augmented generation, and agent/tool-use patterns. Proficiency in Python or JavaScript, and comfort with cloud services; AWS preferred. Experience with at least one major business system, such as NetSuite, Salesforce or ServiceNow. Ability to translate business needs into technical solutions and explain trade-offs to non-technical leaders. Sound judgment and practical knowledge of AI security, privacy, and data governance, including least-privilege access, sensitive-data protection, data minimization, and approval controls for sensitive actions. Nice to have Experience with Microsoft 365 / Teams integrations and Microsoft Graph. Background in finance, revenue, or support operations processes. Familiarity with process mining, BI tools, or SQL. Experience with SOC 2, ISO 27001, or similar compliance frameworks. Relevant AWS, Azure, or security certifications. Familiarity with IT management, RMM, or endpoint security concepts. Experience shipping software with coding agents such as Claude Code or Codex, including harnesses, development loops, reusable skills, and context and specification management. Hands-on ownership of production backend services/APIs, with practical database and container experience. Systematic AI evaluation using datasets, metrics, baselines, reproducible experiments, and regression detection. Deeper ML foundations, statistical experimentation, and model training or fine-tuning. Experience with runtime isolation and sandboxing for sensitive execution. What Success Looks Like First 30 days: Understand key workflows and systems, and deliver a prioritized automation backlog First 90 days: Ship 3-5 production automations or integrations with measured impact, and publish AI usage and data-handling standards First year: Establish a repeatable intake-to-deployment process, show clear gains in hours saved and error reduction, and make AI tooling a trusted part of daily operations How We Measure Impact Hours saved, cycle-time reduction, error and rework rates, automation reliability (uptime and failure rate), AI cost per task, and stakeholder satisfaction. Benefits Fully remote work with flexibility to support your work-life balance. A collaborative environment that empowers you to own your domain and implement best practices. Stable income, benefits, flexible working hours, and opportunities for career advancement. Friendly, professional colleagues who are eager to support you and help you grow. Engaging challenges and opportunities to make a meaningful impact.

Location: Slovenia; Lithuania; Latvia; Colombia; Brazil; Argentina Intetics Inc. , a global technology company providing custom software application development, distributed professional teams, software product quality assessment, and “all-things-digital” solutions, is seeking a highly skilled and experienced Staff Data Scientist / Machine Learning Engineer to join our dynamic team on a full-time basis. Responsibilities: - Design, build, and maintain predictive Lifetime Value (pLTV) models using machine learning techniques such as XGBoost, CatBoost, and probabilistic forecasting methods. - Develop and manage a tiered scoring framework that assigns users to different prediction models based on data availability and signal quality. - Create and optimize calibration frameworks that transform raw model outputs into business-ready values through normalization, scaling, and custom loss optimization strategies. - Own feature engineering processes, building and maintaining scalable feature datasets from transactional, behavioral, and engagement data. - Define and enforce feature quality standards, ensuring model inputs are reliable, relevant, and suitable for production use. - Monitor model performance, drift, and data distribution changes, proactively identifying when retraining or model adjustments are required. - Analyze the impact of deployed models on downstream outcomes and detect feedback loops that may affect future model accuracy. - Develop and improve identity resolution processes to unify behavioral and transactional data across multiple data sources. - Build, test, and maintain production-grade Python services and data pipelines for model training, scoring, and signal delivery. - Implement robust software engineering practices, including automated testing, CI/CD, monitoring, idempotent processing, and deployment safeguards. - Collaborate with data, engineering, and product stakeholders to improve data quality, model effectiveness, and platform scalability. - Operate and optimize ML workflows in cloud environments using orchestration, scheduling, and distributed processing tools. - Ensure the reliability, accuracy, and scalability of machine learning systems that support critical business decision-making and performance optimization. Requirements 5+ years of hands-on ML engineering in Python with production-deployed models (not just Jupyter notebooks). You should be comfortable writing production-grade code, not just prototypes. Experience with gradient boosted trees (XGBoost, CatBoost, or LightGBM) in a production setting, including hyperparameter tuning, feature importance analysis, and model evaluation beyond default metrics. Strong SQL and BigQuery fluency. You will write complex feature engineering queries, scheduled transformations, and data validation logic directly in BigQuery. GCP production experience. Cloud Run, Airflow/Composer, Vertex AI, Pub/Sub. You have deployed and maintained ML workloads on GCP, not just completed certification exercises. Understanding of model calibration. You know the difference between a model that minimizes RMSE and a model that maximizes business value. You have experience with or strong intuition about how prediction errors compound when consumed by a downstream optimization system. Outbound API integration experience. You have pushed model outputs into external systems that act on them (ad platforms, recommendation engines, pricing systems, bidding systems). Strongly Preferred: E-commerce or DTC domain experience. Customer lifetime value, purchase prediction, churn modeling, or customer segmentation for retail or subscription businesses. Familiarity with probabilistic customer models (BG/NBD, Gamma-Gamma, or similar frameworks). If you haven't used these specifically, strong Bayesian statistics foundations are equally valuable. Ad platform signal engineering. Experience with Google Ads API (ConversionUploadService, Enhanced Conversions), Meta Conversions API (CAPI), or similar server-side event dispatch systems. Identity resolution or entity matching. Graph-based identity stitching, probabilistic matching, or CDP-style cross-device identity work. Nice-to-have: Terraform, CI/CD pipeline design, Docker containerization for ML workloads. Experience with causal inference methods, A/B testing in ad spend environments, or multi-armed bandit allocation. Familiarity with agentic development workflows (Claude Code, Cursor, or similar AI-assisted coding tools).

Location: United Kingdom We are EnerMech, a specialist service company that delivers safe, integrated solutions for complex energy projects. For over 50 years, we've been energizing our clients across the world with unrivalled expertise, equipment, and technology that supports the entire asset life-cycle - offshore and on land. We enable progress through our three global business lines: Energy Solutions, Infrastructure & Industrial Solutions, and Lifting Solutions. Within these areas, we offer a wide range of services, including cranes, lifting, fluid power, training, equipment rental, pipeline and subsea, process, and valves - all designed to help our clients optimize performance, enhance reliability, and improve efficiency. With a focus on operational excellence, we deliver value through our customized integrated solutions. This approach reduces risk and enhances efficiencies making us a leading and trusted partner every step of the way. The Role & Responsibilities The role will be responsible for taking technical ownership of key workstreams on EnerMech's Azure Databricks data platform, operating across the full platform stack: data modelling and pipeline development in Databricks, the underlying Azure infrastructure, and the CI/CD, DevOps and DataOps practices that keep the platform reliable, secure and scalable. The role holder operates with a high degree of autonomy, makes and documents architectural decisions, resolves complex platform issues, and is a technical point of contact for the global EBS Team, and business stakeholders. This is a fully remote role in the UK ,supporting our Enterprise Business Systems (EBS) function in the Mumbai Shared Service Centre. Key reponsibilities will include: Design, build, quality and reliable operation of assigned workstreams on the Azure Databricks data platform, from scoping through to production deployment. Integrity of the medallion data model (bronze/silver/gold) for assigned data domains, ensuring data is modelled, validated, documented and certified for downstream reporting and analytics. Build and optimise Delta tables and materialized views, with attention to performance at scale. Design and implement data quality frameworks (preferably DQX or equivalent), including quarantine/error handling and validation against data contracts. Define job-specific compute configurations appropriate to each workload, balancing performance and cost. Contribute to and troubleshoot Terraform-managed infrastructure (networking, storage, Key Vaults, Managed DevOps Pools, Dev Centers). Own and maintain Azure DevOps build and release pipelines, variable groups/libraries, and repository security, permissions and branch policies. Support environment-level Azure configuration, including subscription-level access, RBAC for user and pipeline (service principal) identities, and Terraform state backend management across multiple storage accounts and environments. Operate autonomously across a workstream, from scoping through to production deployment. Use AI-assisted tooling to support day-to-day development, validating outputs against authoritative sources (architecture decisions, technical leads, documentation) before acting on them. Communicate clearly with technical and non-technical stakeholders, including across time zones with colleagues in the UK, Americas, Middle East and Asia Pacific. The Requirements Essential Bachelor's degree in Computer Science, Engineering, Information Systems or a related discipline, or equivalent practical experience. Typically 6+ years in data engineering, including 3+ years hands-on with Azure Databricks in production. Demonstrated ownership of medallion architecture design and data modelling. Implemented data quality frameworks and data contracts in production. Implemented PII protection (masking, tokenisation or access tiering) across environments. Platform engineering experience: diagnosing infrastructure issues, not just consuming platform services. Track record of autonomous delivery, including direct stakeholder engagement. Databricks Certified Data Engineer Associate (minimum). Desirable Databricks Certified Data Engineer Professional. Microsoft AZ-400: Designing and Implementing Microsoft DevOps Solutions. Multi-environment Azure networking (VNet peering, DNS zone design, NAT Gateway). Migrating or standing up CI/CD pipelines, incl. introducing pipeline templates/standards. Governance and identity patterns (e.g. Entra ID, RBAC scoping). Applying regulatory frameworks (e.g. GDPR) to data platform design. Shared service centre or global delivery model experience, ideally in energy or industrial services.

Location: New York Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW As the API Product Lead at Harvey, you'll own the strategy, roadmap, and execution for Harvey's APIs: the way law firms and in-house legal teams integrate with and build on top of Harvey’s platform. You'll turn customer demand into a product that customers can adopt, build on, and capture value from. You'll balance new capabilities against the reliability, security, and scale that production builds on Harvey require. WHAT YOU'LL DO You'll define and drive the product vision and roadmap for Harvey's APIs, aligned with company strategy and grounded in evidence from customers, usage data, and the market. You'll work closely with engineering, solutions architects, and go-to-market teams to ship, and you'll own the outcomes: adoption and production usage. Day to day, you will own planning, prioritization, and roadmapping. You'll make and communicate crisp prioritization decisions, balancing new capabilities against reliability, performance, and security. You'll define the metrics that matter, including who is building on Harvey, what they are building, how much they use, and hold the team accountable to them. You'll be the connective tissue between customers building on Harvey, the teams who support them, and engineering, and you'll raise the product bar through rigorous specs, reviews, and decision-making. WHAT YOU HAVE 7+ years of product management experience shipping and scaling software platforms in a production environment, with a track record of measurable impact Experience owning APIs or developer platforms end to end, from design and documentation through adoption and monetization Strong ability to translate ambiguous problems and deep customer needs into clear strategy, crisp requirements, and prioritized roadmaps Fluency working with engineering on technical trade-offs, and comfort with API design, authentication and access control, rate limits, and usage metering at a level sufficient to make informed decisions Excellent analytical skills, with the ability to define metrics and use data to guide decisions Outstanding written and verbal communication, and a demonstrated ability to influence and align stakeholders across product, engineering, and go-to-market A high bar for quality, strong product judgment, and a "spidey sense" for where a developer or customer experience could break down COMPENSATION $213,600 - $300,000 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-GV1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: Remote-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Every change to Anthropic's software has to reach production somehow: new code, runtime configuration, feature flags, infrastructure changes. Our team builds the systems those changes travel through. Our mission is to give every team at Anthropic a fast, safe, and predictable path from change to production. We sit within Anthropic's Infrastructure organization and own pipelines, staged rollouts, health-gated promotion, and rollback, along with runtime configuration, feature flags, and the systems that deliver code and artifacts to machines across a very large fleet. You'll own a meaningful part of this end to end, from design through operating it in production. If you want your work to shape how fast and how safely Anthropic ships, this could be a great fit. Key responsibilities Set technical direction for major parts of the deployment platform and own them end to end: design, implementation, and operations Build rollout safety into the platform, including progressive delivery, health-gated promotion, automatic pause and rollback, and deploy controls that teams manage themselves Design APIs and abstractions that work equally well for engineers and for AI agents Extend the platform to new workload types and runtimes, from Kubernetes to serverless and edge platforms Build and operate runtime configuration and feature flag systems with validation, gradual rollout, and fast rollback Build infrastructure-as-code workflows that many teams rely on for safe, routine changes Scale artifact distribution so code and configuration reach machines quickly and efficiently Partner with Security so that the path to production is secure by default, with verifiable builds, least-privilege access, and auditable changes Work directly with teams across Anthropic to understand their deployment needs and bring their workloads onto the platform Take part in on-call and incident response, and turn what you learn into guardrails that prevent the same problem from recurring Minimum qualifications Proficiency in at least one backend or systems programming language, such as Rust, Go, C++, or Java Experience leading the design, building, and operation of distributed systems or infrastructure in production, including technical direction across teams Experience with cloud infrastructure and containerized workloads, such as Kubernetes on AWS or GCP Strong written and verbal communication skills Preferred qualifications Experience building deployment, release, or change management systems at large scale Experience with production on-call and incident response Experience with Rust in production Experience with progressive delivery and GitOps tooling, such as Argo CD or Argo Rollouts Deep knowledge of Kubernetes, including controllers and operators Experience with Terraform or other infrastructure-as-code systems at scale, including state management and locking Experience building feature flag, experimentation, or dynamic configuration systems Experience with artifact or package distribution, such as OCI registries, Nix, or content-addressed storage Experience with software supply chain security, such as signed build provenance Experience building high-throughput workflow engines or control planes backed by relational databases Experience building internal developer platforms and leading adoption across many teams Experience using AI agents in your own engineering work, or building systems that agents operate Representative projects Build operator controls for progressive rollouts, including pause and resume that preserve rollout state Design a deployment engine built on fine-grained targets and their dependencies, so each change rolls out exactly where it needs to Build cluster-health-aware rollouts that steer around unhealthy clusters Add a new workload type to the platform, including its rollout, verification, and rollback behavior Design a deployment control plane that handles sharp bursts of agent-driven traffic Design a distribution system that delivers configuration and artifacts to every machine in the fleet as demand grows The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $405,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: London, UK About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role The Anthropic Residency is our paid, fixed-term research program, with placements lasting between six weeks and six months. We are looking for people who have led ambitious work in a variety of technical fields and want to transition to full-time work focused on making sure AI systems are safe and beneficial for all of humanity. If you are a professor in a quantitative discipline, a technical founder or a staff-level engineer and want to transition to work on transformative AI, we want to hear from you. Background in machine learning is not required. What to expect A concrete, scoped project matched to your background, with direct mentorship from Anthropic researchers Access to Claude models and GPU compute Connection to the broader AI safety and security research community Interview process The interview process will include an initial application, recruiter screen, technical assessment, research discussion and a reference check. Applications for this round close on November 22, 2026 (11:59 PM PT). We expect to make offers in January 2027. You may be a good fit if you Are motivated by making sure AI is safe and beneficial for society as a whole Are excited to transition into working on empirical AI research full-time Have led ambitious work in a variety of technical fields (professor in a quantitative discipline, a technical founder or a staff-level engineer) Thrive in fast-paced, collaborative environments Can implement ideas quickly and communicate clearly Strong candidates may also Have experience authoring research papers in machine learning, NLP, or AI safety Have experience with LLMs, reinforcement learning or Kubernetes clusters and complex shared codebases Mentors and research areas Potential Anthropic mentors include: Sara Price : leads the Alignment Training team; background in data science Ethan Perez : leads the Alignment Science team; background in machine learning Evan Hubinger : leads the Alignment Stress-Testing team; formerly at The Machine Intelligence Research Institute (MIRI) Samuel Marks : leads the Scalable Oversight team; background in mathematics Elana Simon : researches the interpretability of language models and biological models; background in biomedical informatics Belinda Li : researches how language models represent the world, users, and themselves; background in natural language processing (PhD, MIT) Jack Lindsey : leads the Model Psychology team; background in theoretical neuroscience Nicholas Carlini : researches adversarial machine learning and AI security; previously at DeepMind and Google Brain Jascha Sohl-Dickstein : works at the intersection of safety and pretraining; background in physics and neuroscience, formerly Principal Scientist at Google Brain Residents will work on empirical research questions in collaboration with Anthropic's research teams. Areas we are particularly interested in include: AI safety & alignment Scalable Oversight: Developing techniques to keep highly capable models helpful and honest, even as they surpass human-level intelligence in various domains. Adversarial Robustness and AI Control: Creating methods to ensure advanced AI systems remain safe and harmless in unfamiliar or adversarial scenarios. Model Organisms: Creating model organisms of misalignment to improve our empirical understanding of how alignment failures might arise. Model Internals and Interpretability: Advancing our understanding of the internal workings of large language models to enable more targeted interventions and safety measures. Safeguards Research: Developing robust defenses against adversarial attacks, comprehensive evaluation frameworks for model safety, and automated systems to detect and mitigate potential risks before deployment. AI Welfare: Improving our understanding of potential AI welfare and developing related evaluations and mitigations. AI security & frontier red-teaming Stress-testing frontier models to understand the full extent of their current capabilities in fields such as cybersecurity, robotics or cryptography. ML systems & reinforcement learning Improving how frontier models are trained and building the infrastructure behind that research, from model architecture, optimizers and training data to accelerator simulators, hardware backends and RL environment pipelines. For a fuller picture of the questions we care about, see our Recommendations for Technical AI Safety Research Directions and recent publications from our Alignment , Interpretability and Frontier Red teams. Logistics Duration: Placements are six weeks, three months or six months, depending on team fit and candidate preferences. Other lengths between three and six months are possible by exception. Location: This application is for a remote UK position, with the option to work from our London office. However, we prefer that Residents work from our San Francisco office, where most of our research staff is based, but remote participation is possible, especially for shorter placements. Most full-time research roles at Anthropic require relocation to San Francisco. Remote participants need to be based in a country where Anthropic can hire. Commitment: Full-time role for the duration of the residency. Compensation: £265,000 to £375,000/year pro-rated for the duration of the residency + benefits Visa sponsorship: We sponsor visas for placements of three months or longer. For six-week placements we encourage remote participation from a country where Anthropic can hire. Applicants may also be considered for the Anthropic Fellows Program . The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: £265,000 — £375,000 GBP Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role The Anthropic Residency is our paid, fixed-term research program, with placements lasting between six weeks and six months. We are looking for people who have led ambitious work in a variety of technical fields and want to transition to full-time work focused on making sure AI systems are safe and beneficial for all of humanity. If you are a professor in a quantitative discipline, a technical founder or a staff-level engineer and want to transition to work on transformative AI, we want to hear from you. Background in machine learning is not required. What to expect A concrete, scoped project matched to your background, with direct mentorship from Anthropic researchers Access to Claude models and GPU compute Connection to the broader AI safety and security research community Interview process The interview process will include an initial application, recruiter screen, technical assessment, research discussion and a reference check. Applications for this round close on November 22, 2026 (11:59 PM PT). We expect to make offers in January 2027. You may be a good fit if you Are motivated by making sure AI is safe and beneficial for society as a whole Are excited to transition into working on empirical AI research full-time Have led ambitious work in a variety of technical fields (professor in a quantitative discipline, a technical founder or a staff-level engineer) Thrive in fast-paced, collaborative environments Can implement ideas quickly and communicate clearly Strong candidates may also Have experience authoring research papers in machine learning, NLP, or AI safety Have experience with LLMs, reinforcement learning or Kubernetes clusters and complex shared codebases Mentors and research areas Potential Anthropic mentors include: Sara Price : leads the Alignment Training team; background in data science Ethan Perez : leads the Alignment Science team; background in machine learning Evan Hubinger : leads the Alignment Stress-Testing team; formerly at The Machine Intelligence Research Institute (MIRI) Samuel Marks : leads the Scalable Oversight team; background in mathematics Elana Simon : researches the interpretability of language models and biological models; background in biomedical informatics Belinda Li : researches how language models represent the world, users, and themselves; background in natural language processing (PhD, MIT) Jack Lindsey : leads the Model Psychology team; background in theoretical neuroscience Nicholas Carlini : researches adversarial machine learning and AI security; previously at DeepMind and Google Brain Jascha Sohl-Dickstein : works at the intersection of safety and pretraining; background in physics and neuroscience, formerly Principal Scientist at Google Brain Residents will work on empirical research questions in collaboration with Anthropic's research teams. Areas we are particularly interested in include: AI safety & alignment Scalable Oversight: Developing techniques to keep highly capable models helpful and honest, even as they surpass human-level intelligence in various domains. Adversarial Robustness and AI Control: Creating methods to ensure advanced AI systems remain safe and harmless in unfamiliar or adversarial scenarios. Model Organisms: Creating model organisms of misalignment to improve our empirical understanding of how alignment failures might arise. Model Internals and Interpretability: Advancing our understanding of the internal workings of large language models to enable more targeted interventions and safety measures. Safeguards Research: Developing robust defenses against adversarial attacks, comprehensive evaluation frameworks for model safety, and automated systems to detect and mitigate potential risks before deployment. AI Welfare: Improving our understanding of potential AI welfare and developing related evaluations and mitigations. AI security & frontier red-teaming Stress-testing frontier models to understand the full extent of their current capabilities in fields such as cybersecurity, robotics or cryptography. ML systems & reinforcement learning Improving how frontier models are trained and building the infrastructure behind that research, from model architecture, optimizers and training data to accelerator simulators, hardware backends and RL environment pipelines. For a fuller picture of the questions we care about, see our Recommendations for Technical AI Safety Research Directions and recent publications from our Alignment , Interpretability and Frontier Red teams. Logistics Duration: Placements are six weeks, three months or six months, depending on team fit and candidate preferences. Other lengths between three and six months are possible by exception. Location: We prefer that Residents work from our San Francisco office, where most of our research staff is based, but remote participation is possible, especially for shorter placements. Most full-time research roles at Anthropic require relocation to San Francisco. Remote participants need to be based in a country where Anthropic can hire. Commitment: Full-time role for the duration of the residency. Compensation: $350,000 to $500,000/year pro-rated for the duration of the residency + benefits Visa sponsorship: We sponsor visas for placements of three months or longer. For six-week placements we encourage remote participation from a country where Anthropic can hire. Applicants may also be considered for the Anthropic Fellows Program . The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $350,000 — $500,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: United States - Remote Chainguard is the trusted source for open source. By delivering hardened, secure, and production-ready builds of all the open source software engineers and AI agents rely on, Chainguard helps organizations build faster, stay compliant, and eliminate risk. Our customers include Fortune 500 enterprises and global industry leaders, including Anduril, Canva, Fortinet, Hewlett Packard Enterprise, OpenAI, Snap Inc., and Snowflake. Chainguard is venture-backed by leading investors, including Amplify, IVP, Kleiner Perkins, Lightspeed Venture Partners, Mantis VC, Redpoint Ventures, Sequoia Capital, and Spark Capital. The role, in a nutshell: As a Customer Success Manager at Chainguard, you will be the post-sales primary point of contact for our Enterprise customers. You will be responsible for taking lead on customer engagements across onboarding, implementation, and adoption. In this role, you will work closely with Solutions Architects, Technical Support, Product Management, Engineering and Sales to ensure the successful onboarding and support of your customers. You are their day-to-day contact, building relationships with customers and driving outcomes, adoption, and delivering time-to-value. What you’ll do: Success Planning & Value: Drive business success planning by partnering with customers, pre-sales, and post-sales teams to align on requirements, goals, and challenges. Provide thought leadership on change management for large, scaled rollouts. Support the full Business Value Realization cycle to ensure customers can demonstrate and prove value internally. Customer Advocacy: Act as the voice of the customer within the organization, advocating for customer needs and requirements to internal teams.  This means being a team player and having strong collaboration skills - this role must align with many different internal teams, influence them to act toward customer needs. Issue Management: Collaborate with Technical Support and Customer Engineering teams to ensure timely resolution to customer issues. Product Expertise: Develop hands-on technical knowledge of Chainguard and stay up-to-date with industry trends, new features, and best practices so you can help customers optimize their use of Chainguard. Training & Education: Collaborate with customers and our Edu team to ensure customers are educated on product features, best practices, and security principles. Account Management: Develop relationships with multiple levels of customer stakeholders from technicians to CISOs. Work closely with sales teams to identify the best path to renew and expand customers while minimizing churn risks. What we're looking for: 5+ years experience in enterprise, customer facing roles collaborating with both technical and business teams - Customer Success, Professional Services, Technical Account Management or a combination of those plus Sales, Solutions Engineering, or Technical Support. Relevant domain knowledge of one or more of the following: Supply Chain Security, DevSecOps, AppSec, security infrastructure, containers, regulatory compliance requirements, vulnerability management, software development lifecycle. This is a strategic and proactive role, our expectation is that this person will take full ownership of their customer portfolio and act with a high level of autonomy.  This includes making key decisions to drive effective customer outcomes; deciding when to include our executive team or c-suite in customer escalations, how to de-risk or de-escalate customer issues and conflict, and advocating to internal teams including sales, product, engineering, etc. An entrepreneurial mindset - you will be often build entirely new process or practices to ensure we best serve customers. Demonstrates a strong commitment to continuous personal and professional development, actively seeking opportunities to enhance skills, expand knowledge, and advance within their career and field. Driven, high emotional intelligence, and strong priority management skills Strongly Preferred: Previous early-stage startup experience Passion for technology & cybersecurity Relevant hands-on technical experience, in one or more of the following domains: cloud computing environments (AWS, GCP, Azure), containers, Linux, Supply Chain Security, DevSecOps, AppSec, security, security infrastructure, regulatory compliance requirements, vulnerability management, software development lifecycle Compensation: Up to $160,000 base salary + bonus If your experience is close but doesn’t fulfill all requirements, please apply . Chainguard is on a mission to build the best team. To achieve our goal, we are focused on hiring Chainguardians with unique backgrounds, perspectives, and experiences. About Us We live and breathe our company values: We are customer obsessed — We focus on delivering solutions to our customers that create value and make their lives better. We have a bias for intentional action — We prioritize, plan, try things, and fail fast. We don't take ourselves too seriously (but we do serious work) — We are solving an important problem which takes focus, but we also like to enjoy the journey. We trust each other and assume good intentions — We're transparent with decisions to empower team members to make well informed decisions. A few of the benefits we offer: Flexible & Remote-First Culture: Work remotely with team meetup opportunities, bi-annual destination summits, and a monthly stipend for coworking spaces, phone and internet costs. Our Approach to Equity: Receive stock options upon hire and promotion. Plus, you can participate in secondary offerings and have 10 years to exercise your options (yes, you read that correctly: 10 years!). 100% Covered Health Insurance: We cover 100% of your health, vision and dental insurance premiums for you and your dependents. Nothing comes out of your paycheck. ∞ Flexible Time Off: Take the time you need – to do our best work, we need to recharge and reset. 18 Weeks Paid Parental Leave: We offer 18 weeks for birthing parents and 12 weeks for non-birthing parents, with the option to use it all at once or throughout your child's first year. If your experience is close but doesn't fulfill all requirements, please apply. We're building the best team in technology and are focused on hiring "Chainguardians" with unique backgrounds, perspectives, and experiences. Chainguard is an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. By submitting your application, you acknowledge that Chainguard will process your personal data in accordance with Chainguard's Global Candidate Privacy Notice . ©2026 Chainguard. All Rights Reserved.

Location: Remote - Atlanta 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. As a Regional Sales Manager, you will own the full sales cycle for new and expansion opportunities across commercial and mid-market accounts. You will establish MinIO’s value proposition, and close deals contributing to our overall success. You’ll need to thrive in a fast-paced, agile setting and work cross-functionally to help us expand from a product-led sales approach to include a sales-driven growth strategy. This role requires comfort in a fast-paced, agile environment and close cross-functional collaboration as we evolve from a primarily product-led motion to a hybrid model that includes sales-driven growth. What You Will Do New Business Development: Prospect, qualify, and close new business across commercial and mid-market accounts. Drive opportunities from first meeting through technical validation, pricing, and close Expand and Retain Accounts: Manage relationships with strategic customers, identifying opportunities to cross-sell, upsell, and deliver measurable value. Articulate Value: Become an expert in communicating MinIO’s benefits to technical and business stakeholders, focusing on business impact and customer success. Collaborate Cross-Functionally: Partner with internal teams, including product, marketing, and customer success, to deliver seamless customer experiences. Pipeline and Forecast Management: Build and manage a healthy pipeline with disciplined forecasting and deal hygiene Use MEDDPICC (or similar) to qualify deals and drive predictable outcomes Maintain accurate pipeline, forecasting, and activity tracking in Salesforce Collaborate cross-functionally with Field Architects, Marketing, Customer Success, and Product Your Skills and Experience Proven Sales Track Record: 3+ years of experience in B2B SaaS or infrastructure sales experience sales with consistent quota achievement and expertise in managing complex, high-value sales cycles. New Business Acumen: Strong background in sourcing and closing new customers, particularly in enterprise or mid-market segments. Account Growth Expertise: Demonstrated ability to expand and retain accounts through cross-sell, upsell, and delivering measurable customer value. Technical Domain Knowledge: Familiarity with cloud-native technologies, data infrastructure, or B2B SaaS. Experience engaging with technical buyers, including VPs of Infrastructure, Engineering, and Enterprise Architects. Startup Mindset: Thrives in fast-paced environments, with experience at early or growth-stage companies. Challenger Sales Approach: Skilled at challenging the status quo, demonstrating clear business value, and driving competitive wins. Communication & Negotiation: Excellent verbal and written communication skills, with the ability to influence decision-makers and navigate complex negotiations. Team Collaboration: Proven ability to work across functions, leveraging internal resources to achieve customer success. Experience managing deal sizes ranging from $50k to $300k+. Expertise in pipeline generation tools (e.g., SalesLoft, Outreach) and social selling (e.g.,LinkedIn Navigator). Familiarity with Force Management, MEDDPIC or other sales methodologies. What We Offer: Health Care Plan (Medical, Dental & Vision) 401K with 3% Contribution Pre-IPO Stock Options At least 12 Public Holidays Flexible Time Off 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.