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Location: United States Why Cast AI? Cast AI is an automation platform that operates cloud-native and AI infrastructure at scale. By embedding autonomous decision-making directly into Kubernetes and cloud environments, Cast AI continuously optimizes performance, reliability, and efficiency in production. The old way doesn't work. As Kubernetes and AI environments grow, manual decisions don’t. Cast AI replaces tickets, alerts, and manual tuning with continuous automation that adapts infrastructure as conditions change. Efficiency and cost savings follow naturally from that automation. Over 2,100 companies already rely on Cast AI, including Akamai, BMW, Cisco, FICO, HuggingFace, NielsenIQ, Swisscom, and TGS. Global team, diverse perspectives We're headquartered in Miami, but our impact is international. We take a global and intentional approach to diversity. Today, Cast AI operates across 34 countries spanning Europe, North America, Latin America, and APAC, bringing a wide range of perspectives into how we build and lead. Unicorn momentum In January 2026, we achieved unicorn status with a strategic investment from Pacific Alliance Ventures, the corporate venture arm of Shinsegae Group (a $50+ billion Korean conglomerate). Our valuation now exceeds $1 billion, and we're just getting started. Join us as we build the future of autonomous infrastructure. About the product Kimchi is Cast AI’s governed AI coding platform – an autonomous coding agent, inference layer, and spend control in one. By intelligently routing tasks across more than 50 open-weight and frontier models, Kimchi helps engineering organizations scale AI-assisted development without losing control of cost, security, or data. As agentic AI coding becomes core infrastructure, token costs multiply, spend limits are merely opt-in, and source code flows to external models with little governance. Kimchi solves this with smart model orchestration, real-time cost attribution and enforced budget caps, agent guardrails, and full data sovereignty – including self-hosted deployment for the most regulated environments. About the role Every engineering org is rolling out AI coding agents, and almost none of them can see what it costs or where their code is going. The buyers are already asking the question Kimchi answers. This is a founding seat. There is no Kimchi team on the ground in AMER yet. You will be one of the first account executives in the region, opening the first enterprise logos, choosing the partners and the events that matter, and shaping the playbook the next hires run. You will not be starting cold. Kimchi sits inside Cast AI, so you inherit a well-funded company, a proven enterprise sales motion, and a large installed base of Cast AI customers who already trust us with their infrastructure. The market is moving fast. Your job is to get there first. What'll You Own? New logo acquisition across AMER enterprise accounts - the core of the role. You build and run your own outbound pipeline, every week, not as an afterthought The full enterprise sales cycle: Opportunity Assessment, Value Discovery, technical validation (POCs and benchmark-driven evaluations), executive negotiation, and close Multi-stakeholder deals with CTOs, CIOs, CISOs, CFOs, Heads of Engineering, and Platform Engineering leads, tying Kimchi to each account's AI coding cost, governance, and infrastructure challenges Upsell opportunities into Cast AI's existing customer base, working alongside the team that owns expansions Kimchi's partner ecosystem in AMER: identifying and pitching the right partners (including cloud providers like AWS and AI-native players), with the channel team supporting onboarding and joint programs Market-building activity that feeds pipeline: picking the events worth showing up at, partnering with marketing on sponsorships and co-hosted events, and working with DevRel on developer community Value Delivery after signature, working with implementation teams and measuring results against the business case What'll You Need? Proven experience running a full enterprise sales cycle as an Account Executive, from Opportunity Assessment through Value Delivery A demonstrated track record selling cloud SaaS in AI coding or developer platforms, AI/ML infrastructure, LLM cost optimization, cloud infrastructure, or FinOps, or a closely adjacent space Hands-on experience running deals with the MEDDIC methodology A history of successful negotiation and closing new-logo deals, with a genuine focus on long-term customer outcomes A strong outbound orientation: you build your own pipeline consistently rather than relying on inbound Comfort operating in a build-from-scratch environment, where you own the outcome and pull in partners, marketing, and DevRel to get there What Makes You Stand Out? You have sold complex AI, developer-platform, or cloud software to enterprise technical buyers and can independently create pipeline, run discovery, and close new logos You are comfortable selling to financial and security stakeholders (CFOs, CISOs) as well as engineers - Kimchi deals are multi-stakeholder by nature You have converted technical engagement or PLG usage into committed enterprise agreements You have built partner or ecosystem relationships (cloud marketplaces, SIs, AI-native vendors) that turned into sourced pipeline You have been an early or founding seller in a new region or product line What’s in it for you (US)? Join a fast-growing company at the forefront of cloud-native automation and Kubernetes technology. Enjoy a flexible, remote-first global environment. 401(k) retirement plan 100% company match on employee contributions up to 6% of pay (available after 3 months of employment). Access UnitedHealthcare plans including medical, dental, and vision coverage. Equity options. Learning budget for your professional and personal growth. Team-building budget and company events to connect with your colleagues. Equipment budget to ensure you have everything you need. Hiring process Screening call with Recruiter Hiring Manager interview 1-2 additional interviews based on the role Culture Check interview with an executive *As part of our standard hiring process, we would like to inform you that a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr. *Please note that Cast AI does not provide any form of visa sponsorship/work permit. #LI-Remote

Location: Remote - Europe; Remote - United States About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The IP Backbone TPM coordinates the planning and delivery of Nebius’s global IP backbone and Internet edge. The role connects data center launches, customer and platform demand, IP architecture, network engineering, procurement, and external providers so that sites have the routing, transit, peering, hardware, and address resources needed for service readiness and growth. The TPM is accountable for end-to-end project coordination: defining scope with technical owners, building integrated plans, tracking dependencies and risks, driving decisions to closure, and confirming handover. Network Architecture and Engineering own technical standards and design decisions; engineers lead implementation. The TPM keeps those workstreams aligned and ensures the required outcomes are delivered. Nebius Regions and HQ In summer 2026, we introduced the concept of regions to remove dependence on the Amsterdam HQ and speed decision making. The regional change applies to procurement, logistics, and IT datacenter operations. Network infrastructure remains an HQ function because its architecture and design affect all sites. Position Scope Please note that Nebius is in a state of rapid growth. Due to this, the scope and responsibilities of the role will constantly evolve based on business and team needs. Site and PoP Readiness Coordinate IP connectivity due diligence for new data center and PoP locations. Confirm the planned site role in the backbone and the required connectivity to regional and Super PoPs. Track site dependencies such as rack space, power, security, cross-connects, cabling, hardware delivery, and carrier access. Coordinate PoP build plans with IP Engineering, Layer 1 Planning, Data Center Operations, , Security, and Procurement. Identify the boundary between IP and Layer 1 work early, including transport handoffs, demarcation points, and ownership of cross-connects. Confirm that IP equipment and provider services are ready for installation, testing, and operational handover. IP Connectivity Planning Coordinate plans for IP transit, peering, private interconnects, and backbone connectivity in line with the global network strategy. Track provider requirements, site availability, port capacity, cross-connects, delivery dates, commercial terms, and technical acceptance criteria. Work with Procurement and network architects to gather and review ISP information using the provider qualification checklist. Use the completed assessment and architect input to support provider selection and record the decision and any conditions. Plan connectivity for new data center launches, including the required paths from the front-end fabric to the Nebius backbone, transit providers, cloud on-ramps, and peering locations as applicable. Maintain an integrated view of circuit, port, router, optics, and cross-connect dependencies so that a delivered service can be activated end to end. Coordinate capacity growth and diverse connectivity plans before demand or a new launch creates a service constraint. Internet Routing Resources and Security Coordinate the lifecycle and accurate records for Nebius IPv4 and IPv6 address allocations, assignments, and utilization. Maintain an operational view of ASN use and dependencies across regions, PoPs, transit providers, peers, and customer-facing services. Coordinate the creation, review, and maintenance of AS-SETs, route objects, and ROAs with the responsible technical owners and relevant registries. Track RPKI and IRR readiness as part of provider onboarding, routing changes, and new-site launches. Coordinate remediation of resource or routing-security issues with Network Engineering and external providers. Backbone Hardware and Supply Maintain a forward-looking view of IP backbone hardware demand based on PoP builds, data center launches, capacity plans, and approved architecture. Coordinate hardware planning and delivery for routers, line cards, optics, spares, software entitlements, and related components. Standard platforms are Juniper MX304 routers for peering borders, Juniper PTX10002 routers for data center borders, and Cisco 8000 Series routers for Cloud Interconnect (CIC) and cloud on-ramps. Work with IP Engineering to translate approved designs into complete, validated bills of materials and deployment requirements. Track forecasts, purchase requests, supplier commitments, lead times, delivery allocations, and regional logistics with Network Supply and Procurement. Coordinate supply for PoP out-of-band equipment (currently MikroTik, with future SD-WAN platforms under consideration), console access, and PoP management networks. Security appliances are outside this role’s hardware scope. Identify supply risks early and coordinate mitigation options with technical owners, procurement, and project stakeholders. Keep project schedules aligned with hardware readiness, site readiness, and service activation milestones. Delivery and Launch Coordination Build and maintain integrated delivery plans for IP backbone projects, PoP builds, provider services, and data center launches. Coordinate work across IP Architecture, IP Engineering, Layer 1 Planning, Data Center Operations, Construction, Security, Procurement, and providers. Define milestones, prerequisites, owners, acceptance criteria, and handover requirements for each workstream. Drive resolution of blockers and escalate risks that could affect site launch, customer commitments, capacity, or network resilience. Coordinate testing, service activation, routing turn-up, documentation, and operational handover with the engineering and operations teams. Maintain clear status reporting for project scope, schedule, dependencies, decisions, risks, and actions. Operations and Capacity Management Track IP backbone and Internet edge capacity against forecast demand, data center growth, customer requirements, and platform launches. Coordinate port, router, transit, peering, address-resource, and hardware expansion before capacity constraints affect service readiness. Maintain accurate records of PoPs, providers, circuits, ports, ASNs, address allocations, AS-SETs, ROAs, and deployment status in the agreed systems of record. Support incident follow-up and provider escalations when delivery or service issues affect backbone availability. Review completed projects with technical and operations teams, capture lessons learned, and improve planning and handover processes. Support ongoing improvements to resiliency, routing security, provider diversity, and operational readiness. Working Boundaries with Layer 1 Planning IP and Layer 1 TPMs share delivery responsibility for PoP and data center connectivity projects. The IP TPM coordinates the IP service outcome: routing, transit, peering, IP address resources, IP hardware, and service activation. The Layer 1 TPM coordinates the physical and optical transport outcome: fiber routes, wavelengths or dark fiber, DWDM systems, ILAs, and the transport path to the agreed handoff. For shared projects, the two TPMs should maintain one integrated milestone plan, agree the service demarcation and handoff points with engineering, and assign a clear owner to each dependency. Technical design and configuration decisions remain with the relevant architecture and engineering owners. Internal Operating Context Nebius infrastructure supports Nebius Cloud Platform, Nebius Token Factory, Meta, Microsoft, and selected bare-metal customers. The IP backbone TPM works with product and infrastructure stakeholders to translate Nebius Cloud launches and requirements into deliverable connectivity plans. This scope covers Nebius Cloud by default; Internet access for a bare-metal customer is included when that customer specifically requests it. Cloud Interconnect requirements may require dedicated on-ramp planning. For provider onboarding, Procurement coordinates the commercial process and issues the qualification questionnaire. The TPM coordinates technical due diligence with Backbone Architecture and Engineering, tracks completion, and records the approval decision and follow-up actions. The TPM coordinates the provider assessment and selection process with Procurement and the network architects, using the qualification checklist and architect input to reach and document the decision. Security Project Coordination The TPM may coordinate IP security and DDoS-related projects that affect the backbone or Internet edge. Security Architects lead these projects and own the security architecture and technical decisions. The TPM coordinates scope, dependencies, milestones, risks, stakeholder communication, and delivery handover with Security, Network Architecture, Engineering, Procurement, and providers as needed. Key Collaborators Function Typical contribution IP / Backbone Architecture Defines architecture and technical standards; provides technical input to provider selection and design decisions IP Engineering Owns detailed design, configuration, implementation, testing, and technical handover Front End Fabric Deploy Team Ensures that OOB connectivity is ready, and that CAB + Border related deploy work is completed and unblocks this team. Layer 1 Planning / DWDM Engineering Delivers transport connectivity and coordinates shared PoP or site dependencies Network Supply and Procurement Forecasts and sources hardware and services; coordinates provider qualification and commercial processes Data Center Operations and Construction Delivers site access, space, power, cabling, cross-connect, and readiness dependencies Product and customer teams Provides launch dates, demand forecasts, and customer or platform requirements Security Architects Lead IP security and DDoS projects and own security architecture decisions ISPs, peers, exchanges, and cloud providers Deliver transit, peering, interconnection, and related services About Nebius Nebius AI is an AI cloud platform with one of the largest GPU capacities in Europe. Launched in November 2023, the Nebius AI platform provides high-end, training-optimized infrastructure for AI practitioners. As an NVIDIA preferred cloud service provider, Nebius AI offers a variety of NVIDIA GPUs for training and inference, as well as a set of tools for efficient multi-node training. Nebius AI owns a data center in Finland, built from the ground up by the company’s R&D team and showcasing our commitment to sustainability. The data center is home to ISEG, the most powerful commercially available supercomputer in Europe and the 16th most powerful globally (Top 500 list, November 2023). Nebius’s headquarters are in Amsterdam, Netherlands, with teams working out of R&D hubs across Europe and the Middle East. Nebius AI is built with the talent of more than 500 highly skilled engineers with a proven track record in developing sophisticated cloud and ML solutions and designing cutting-edge hardware. This allows all the layers of the Nebius AI cloud – from hardware to UI – to be built in-house, distictly differentiating Nebius AI from the majority of specialized clouds: Nebius customers get a true hyperscaler-cloud experience tailored for AI practitioners. We’re growing and expanding our products every day. If you’re up to the challenge and are excited about AI and ML as much as we are, join us! Pay Transparency We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law. Base Compensation Range $180,000 — $230,000 USD Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Intellias Meet your recruiter Viktoriia Tochylova viktoriia.tochylova@intellias.com https://www.linkedin.com... Vacancy details AI/ML Engineering Machine Learning Engineer Senior Bulgaria, Croatia, Poland, Portugal, Spain Remote APPLY NOW REFER A FRIEND Over 20 years of market experience, Intellias brings together technologists, creators and innovators in Europe, North and Latin America, and the Middle East. Join our international team and take the mission to solve the advanced tech challenges of tomorrow! What project we have for you Join a transformative data and AI platform initiative aimed at modernizing enterprise-scale capabilities and enabling real-time decision-making. This project delivers a comprehensive roadmap covering AI, MLOps, data governance, and platform scalability, supporting a shift towards data-first operations and intelligent automation. What you will do Lead the ideation, design, and execution of AI proofs-of-concept and end-to-end machine learning systems, from research and experimentation through to scalable production deployment. Develop and implement machine learning and AI systems across domains including Computer Vision, NLP, and Generative AI, solving complex business and product challenges. Collaborate cross-functionally with engineering, product management, and business stakeholders to translate business objectives into scalable AI-driven capabilities and production-ready solutions. Architect and maintain production-grade AI systems across the full lifecycle, including data ingestion, feature engineering, model training, retrieval pipelines, orchestration layers, deployment, evaluation, and monitoring. Design and implement Retrieval-Augmented Generation (RAG) pipelines, semantic search systems, and multi-agent workflows, selecting appropriate architectures based on performance, latency, cost, and compliance constraints. Design evaluation frameworks for machine learning and generative AI systems, including offline evaluation, human-in-the-loop validation, automated scoring, and production monitoring. Optimize AI systems for scalability, latency, and cost efficiency, including batching, caching, quantization, and model selection strategies. Design and apply advanced mathematical models and statistical methods to analyze large, multi-modal datasets, including time series, classification, regression, and representation learning tasks. Collaborate on AI architecture decisions and contribute to technical roadmap planning, identifying high-impact opportunities for AI adoption across the organization. Mentor and provide technical guidance to junior ML engineers and data scientists, promoting engineering best practices and a culture of continuous learning. Stay current with emerging research, tools, and architectures in AI and machine learning, proactively evaluating and introducing relevant advancements. What you need for this Required skills: 5+ years of hands-on experience in machine learning, AI research, or data science, with a proven track record of delivering production-grade ML solutions. Master’s or Ph.D. in Computer Science, Data Science, Machine Learning, or a related quantitative field. Strong expertise across core ML disciplines including supervised and unsupervised learning, time series modeling, classification, regression, and model evaluation. Deep hands-on experience developing production systems in Computer Vision, NLP, and Generative AI. Strong experience building LLM-based applications, including RAG pipelines, agentic workflows, semantic search, and tool-using AI systems. Experience designing evaluation frameworks for generative AI systems, including prompt evaluation, hallucination detection, and performance monitoring. Proficiency in Python and modern ML ecosystem including PyTorch, TensorFlow, Hugging Face, NumPy, Pandas, and scikit-learn. Experience with modern LLM orchestration and serving frameworks such as LangChain, LlamaIndex, DSPy, Haystack, or equivalent. Experience deploying and scaling AI systems on cloud platforms (AWS, Azure, or GCP), including managed ML services and containerized deployments. Experience building and maintaining end-to-end ML pipelines, including data processing, model training, deployment, and monitoring. Understanding of responsible AI principles, including bias mitigation, safety guardrails, and governance considerations. Proficiency with version control (Git) and software engineering best practices for collaborative ML development. Excellent communication skills, with the ability to convey complex technical concepts to both technical and non-technical stakeholders. Will be a plus: Experience with MLOps tooling and workflows, including MLflow, Apache Airflow, Terraform, and CI/CD pipelines for model deployment. Experience with model serving and inference optimization tools such as vLLM. Experience working with feature stores, real-time data pipelines, or streaming AI systems. Experience with distributed training or large-scale model training frameworks. Experience with multimodal AI systems (vision-language models, audio-text, document AI). Experience with fine-tuning large language models or parameter-efficient training techniques (LoRA, PEFT, etc.). Experience contributing to open-source ML projects or publications in peer-reviewed venues. An Associate, Professional or Specialty-level certification from one of our strategic technology partners — AWS, Microsoft, Google, Databricks or Anthropic — aligned with your tech stack. What it’s like to work at Intellias At Intellias, where technology takes center stage, people always come before processes. By creating a comfortable atmosphere in our team, we empower individuals to unlock their true potential and achieve extraordinary results. That’s why we offer a range of benefits that support your well-being and charge your professional growth. We are committed to fostering equity, diversity, and inclusion as an equal opportunity employer. All applicants will be considered for employment without discrimination based on race, color, religion, age, gender, nationality, disability, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by applicable law. We welcome and celebrate the uniqueness of every individual. Join Intellias for a career where your perspectives and contributions are vital to our shared success.

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 As a Partnership lead, you’ll help drive our strategic growth with Google Cloud. You'll play a critical role in managing the relationship, generate large-scale revenue opportunities, and work with leadership across both organizations to accelerate Anthropic's AI adoption through GCP's global ecosystem. You’ll be a part of a small team with an outsized scope - setting the strategy and rolling up your sleeves to execute it. You'll help shape how frontier AI technology is commercialized at scale and develop the blueprint for successful AI-cloud provider partnerships. Responsibilities: Develop and execute comprehensive GTM strategies for our GCP partnership, including co-selling motions, enablement programs, and joint business plans Develop forecasting models, build pipeline, and set revenue targets for the partnership Build and maintain cross-functional relationships across GCP Drive strategic planning and execution of joint marketing and sales initiatives, including major customer engagements Create and implement scalable processes for partnership operations, including escalation management and reporting Provide strategic market intelligence and competitive insights to inform product and business strategy Design and execute sales plays and enablement programs Participate in monthly business reviews with key stakeholders Identify and develop strategic opportunities to expand partnership scope and impact You may be a good fit if you have: 8+ years of experience, ideally including 2-4 years in a high-intensity, analytical role (investment banking, management consulting, or similar) and 4+ years in GTM at fast-growing technology companies Deep understanding of enterprise cloud services and AI/ML market dynamics Exceptional communication and relationship-building skills with both technical and business stakeholders Proven ability to develop and execute successful co-selling strategies at scale Excellence in strategy, business operations, and program management Ability to thrive in a fast-paced environment, adapt to changing priorities, and balance strategic thinking with tactical execution Experience working with technical products and translating complex capabilities into business value Strong candidates may also have: Direct experience scaling GTM at a high-growth startup or leading enterprise sales or partnerships at a major technology company Familiarity with large language models and their applications in generative AI Previous experience working with cloud and large technology partnerships Technical background in computer science, software engineering, data science, or related field MBA or advanced degree in relevant discipline 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: £215,000 — £250,000 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: Intellias Meet your recruiter Khrystyna Derpak khrystyna.derpak@intellias.com https://www.linkedin.com... Vacancy details AI/ML Engineering Machine Learning Engineer Senior Bulgaria, Croatia, Poland Remote APPLY NOW REFER A FRIEND We are seeking a AI Engineer to transition our AI capabilities from “prototype” to “production.” In this role, you will not just experiment with models; you will architect robust Agentic Systems that can plan, reason, and execute complex workflows autonomously for a wide variety of business user needs while experimenting with cutting-edge models and tools to push the boundaries of what’s possible. The ideal candidate is a forward-thinking engineer who thrives on hands-on experimentation with AI models and frameworks, learns quickly, and is naturally curious. You will collaborate closely with product managers, business partners, and platform teams to deliver high-value AI agents that solve real-world problems across the enterprise. What project we have for you Client is a leading multi-brand technology solutions provider to business, government, education and healthcare customers in the United States, the United Kingdom and Canada. A Fortune 500 company and member of the S&P 500 Index, Client was founded in 1984 and employs approximately 10,000 coworkers. For the trailing twelve months ended September 30, 2020, the company generated Net sales over $18 billion. Broad array of offerings range from hardware and software to integrated IT solutions such as security, cloud, data center and networking What you will do Agentic Engineering & Orchestration Workflow Design: Architect complex, multi-agent workflows using Microsoft AI tech stack. Design, Develop and Deploy agents to handle loops, interruptions, and human-in-the-loop interventions. Tool Use & Function Calling: Build reliable “tool layers” that allow LLMs to safely interact with internal APIs, databases, and third-party SaaS platforms (e.g., SalesForce, Workday, ServiceNow etc.) State Management: Design persistence layers to manage agent memory, conversational history, and context windows efficiently. Advanced Data & RAG Strategy Retrieval Pipelines: Build production-grade data retrieval and integration systems. Optimize vector indexing, document chunking, and re-ranking algorithms to ensure high-precision context retrieval. Data Quality: Collaborate with Data Engineers to curate “Golden Datasets” for agent consumption LLMOps, Evaluation & Quality Automated Evaluation: Build CI/CD pipelines for AI that include “LLM-as-a-Judge” testing. Leverage frameworks to score agent outputs for accuracy, hallucination, and safety before deployment. Observability: Instrument applications with tracing tools to visualize agent reasoning chains, monitor latency, and debug failures in production. Cost Optimization: Monitor token usage and latency, optimizing prompt density and caching strategies to maintain high performance at sustainable costs. Innovation & Collaboration Prototyping to Production: Rapidly validate new ideas using state-of-the-art models, then refactor successful prototypes into maintainable, tested production code. Standards Adoption: Stay ahead of the curve by evaluating emerging technologies to standardize agent connectivity. What you need for this Core Engineering Bachelor’s degree and 5 years of software engineering experience, with exposure to AI/ML applications OR 9 years of software engineering experience, with exposure to AI/ML applications. Programming: Strong hands-on experience with Python for AI/LLM application development. Agentic AI: Hands-on experience designing and building AI agents / Agentic AI solutions. LLM APIs: Experience integrating and working with LLM model APIs (e.g., OpenAI, Azure OpenAI, Anthropic, Gemini). AI Specialization 2+ years specifically building with LLMs, with deep familiarity in: Orchestration: LangChain, LangGraph, or similar state-based frameworks. Vector DBs: Pinecone, Weaviate, or pgvector. Prompt Engineering: Advanced techniques (Chain-of-Thought, ReAct, Few-Shot). Production Mindset: Experience not just building demos, but operating them. You know how to handle rate limits, context window overflows, and non-deterministic errors. Soft Skills: Ability to explain “probabilistic software” to non-technical stakeholders—managing expectations that agents are never 100% accurate, but can be 100% useful. Communication: Excellent communication skills, with experience in documenting technical designs, sharing insights, and enabling team knowledge transfer. Nice to Have Microsoft Foundry What it’s like to work at Intellias At Intellias, where technology takes center stage, people always come before processes. By creating a comfortable atmosphere in our team, we empower individuals to unlock their true potential and achieve extraordinary results. That’s why we offer a range of benefits that support your well-being and charge your professional growth. We are committed to fostering equity, diversity, and inclusion as an equal opportunity employer. All applicants will be considered for employment without discrimination based on race, color, religion, age, gender, nationality, disability, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by applicable law. We welcome and celebrate the uniqueness of every individual. Join Intellias for a career where your perspectives and contributions are vital to our shared success.

Location: Remote - Europe About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role As a Senior AP Accountant you will own the most complex and business-critical AP activities within your scope. You will be a senior point of contact for business stakeholders, apply judgment to non-standard situations that have no established precedent, and actively support the development of the broader team. You will also be a hands-on contributor to continuous improvement - bringing operational knowledge to improvement projects led by the Continuous Improvement Specialist. Your responsibilities will include: Own the most complex or business-critical AP activities within your assigned scope, end-to-end Exercise senior judgment on escalations, non-standard cases and situations with no established precedent Act as a primary point of contact for business stakeholders on operational AP matters - resolving issues and managing expectations Manage complex vendor relationships including dispute resolution, payment negotiations and escalation handling Support month-end close at a senior level - reconciliations, AP aging, intercompany and balance sheet review within your scope Provide consistent guidance and day-to-day support to AP Accountant I and II colleagues Participate actively in continuous improvement initiatives - surface operational issues, challenge existing processes and contribute hands-on knowledge to projects led by the Continuous Improvement Specialist Support audit and control activities within assigned entities, including documentation and query resolution We expect you to have: 6+ years of experience in Accounts Payable or Finance Operations, including experience with complex or business-critical entities Demonstrated ability to handle non-standard situations independently and apply senior judgment Experience as a point of contact for business stakeholders - comfortable managing expectations and resolving operational issues directly Strong experience with month-end close, reconciliations and AP controls Solid working knowledge of NetSuite and Blackline; familiarity with Zip is a strong advantage Experience in multi-currency, multi-entity or multi-country AP environments Track record of informally developing or mentoring more junior colleagues Excellent written and verbal English - English is our primary working language and the expected standard of communication throughout the team It will be an added bonus if you have: Experience supporting external audits and working with auditors directly Exposure to process improvement projects or a continuous improvement methodology Additional European language skills Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Intellias Meet your recruiter Bohdana Rubets bohdana.rubets@intellias.com https://www.linkedin.com... Vacancy details Data Engineering Data Engineer Senior Bulgaria, Croatia, Poland Remote APPLY NOW REFER A FRIEND Let’s breathe life into great tech ideas! With 3,000 people globally, Intellias is a company where benchmark technological solutions are born. Join in and take your part in digitalizing the world. What project we have for you Our client is building the standard path for governed data sharing across product services, analytics, and AI/ML. The Data Platform team owns the contracts, control mechanisms, publication paths, catalog metadata, lifecycle rules, lineage, permissions, and runtime building blocks that make reusable data safe and practical at scale. This is a role for someone who wants to shape a platform early, while working on concrete production problems from the start. Our client already has the production systems, Kafka backbone, PostgreSQL databases, analytical consumers, and AI/ML use cases that need a better data foundation. The challenge is to turn that reality into a standard path that engineers actually want to use. Our first milestone is focused: centrally managed publishing tables in service-owned PostgreSQL databases, captured through Debezium CDC into Kafka, and registered in DataHub with ownership, lifecycle, lineage, and impact-analysis metadata. Longer-term, the platform expands toward self-service data products, governed materialisations, durable shared state, and reusable data across the client’s operational and analytical systems. This is not a role where you only maintain an existing reporting pipeline. You will help design and build the platform path that other engineering teams use when they publish and consume shared data. What you will do Design and build platform services, tools, and workflows for contract-driven data publishing and consumption. Build the first production path for platform-managed PostgreSQL publishing tables, Debezium CDC, Kafka topics, and catalog registration. Create GitOps-style workflows where contracts, schemas, ownership, lifecycle, compatibility, policy metadata, and runtime desired state are reviewed, validated, and reconciled as code. Build tooling that gives product engineers fast feedback before they publish or change data products. Help define how client models data products, publishing contracts, schema evolution, field stability, deletion semantics, access policy, lineage, and cost attribution. Operate and improve the CDC runtime model, including Kubernetes workloads, source-specific isolation, offsets, schema history, heartbeats, signal channels, lag visibility, replay, resnapshotting, and recovery. Integrate platform metadata into DataHub so engineers can discover data products, understand ownership, trace lineage, and reason about the impact of changes. Work with product, infrastructure, data engineering, analytics, and AI/ML teams to make the standard path easier and safer than bespoke point-to-point integrations. What you need for this Strong experience building and operating production software systems, preferably in platform, infrastructure, backend, or data-intensive environments. Deep understanding of distributed systems trade-offs: reliability, idempotency, replay, eventual consistency, ownership boundaries, compatibility, and operational failure modes. Practical experience with PostgreSQL or other relational databases, including schema design, migrations, transactions, replication, or operational performance. Experience with Kafka, event streaming, CDC, Debezium, or adjacent data-movement technologies. Direct Debezium experience is valuable, but strong fundamentals matter more. Experience building software that other engineers use: CLIs, internal platforms, control planes, automation, CI validation, developer tooling, or self-service workflows. Familiarity with Kubernetes and cloud or infrastructure platforms, including runtime isolation, deployment, observability, and operational ownership. Ability to turn ambiguous architectural direction into practical increments, make trade-offs explicit, and deliver useful production systems without waiting for perfect certainty. Clear written and spoken communication in English. This role involves aligning multiple engineering teams around standards, contracts, and ownership boundaries. Nice to have: DataHub or other data catalog, lineage, or governance systems. Open table formats such as Apache Iceberg, object-store-backed data lakes, S3, BigQuery, ClickHouse, or analytical storage systems. GitHub Actions, policy-as-code, infrastructure-as-code, controllers, operators, or reconciliation-based systems. Data contracts, schema registries, Protobuf, Avro, JSON Schema, compatibility checking, field-level metadata, or contract testing. Experience supporting analytics, AI/ML, feature-store-style access patterns, or cross-domain product-service integrations. Experience with JVM languages and Python, TypeScript, Go, or Ruby. What it’s like to work at Intellias At Intellias, where technology takes center stage, people always come before processes. By creating a comfortable atmosphere in our team, we empower individuals to unlock their true potential and achieve extraordinary results. That’s why we offer a range of benefits that support your well-being and charge your professional growth. We are committed to fostering equity, diversity, and inclusion as an equal opportunity employer. All applicants will be considered for employment without discrimination based on race, color, religion, age, gender, nationality, disability, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by applicable law. We welcome and celebrate the uniqueness of every individual. Join Intellias for a career where your perspectives and contributions are vital to our shared success.

Location: Dublin, IE About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role: Anthropic is seeking an International Infrastructure Accounting professional to join our Infrastructure Accounting team. Based in Dublin and reporting to the Head of International Infrastructure Accounting, you will execute day-to-day accounting for the leased and owned infrastructure supporting Anthropic's expansion outside the United States, i.e. the data centers, network infrastructure, and compute capacity underpinning our international growth. As we continue our rapid growth, you will help ensure the operational scalability and financial accuracy of the core functions that enable Anthropic's research and commercial success. This is an opportunity to be at the heart of one of the fastest-scaling companies in the industry, and to shape how Anthropic's growing international infrastructure portfolio is accounted for and understood across the business. You will own end-to-end accounting for Anthropic's international infrastructure portfolio, with an initial focus on leases, working closely with cross-functional partners across Data Center Operations, Real Estate, Finance, and Legal. You'll apply deep technical accounting expertise under ASC 842 for the US GAAP books, and carry those same arrangements through to the IFRS 16 or local GAAP books. You will partner closely with our central team to ensure global policies, processes, and controls are applied consistently as each new market comes online. Responsibilities: Lead end-to-end accounting for Anthropic's international infrastructure portfolio — leased and owned, with an initial focus on leases — including monthly close, reconciliations, roll-forwards, and flux analysis Apply technical accounting expertise to complex infrastructure arrangements under ASC 842 (lease classification, measurement, modifications, embedded leases, and reassessments) and ASC 360 (capitalization, useful lives, impairment, and disposals) Prepare the US GAAP to IFRS 16 and local GAAP adjustments for each international entity, and partner with our International Statutory Reporting team and external providers so the statutory accounts are accurate and filed on time Partner with Real Estate, Legal, and Finance teams during contract negotiation and execution to ensure accounting implications are understood before commitments are made Serve as a trusted finance partner to non-finance stakeholders — explaining the financial statement impact of their decisions in clear, simple terms they can act on Apply global infrastructure accounting policies, processes, and controls consistently as each new market comes online Help stand up the accounting foundations for each new market, i.e. entity and chart of accounts mapping, functional currency, intercompany flows, and lease system onboarding Collaborate cross-functionally to improve the quality of upstream data pipelines from operational and contract systems, particularly around contract terms, asset receipt, deployment, and in-service dates Collaborate with and mentor accounting professionals across the Infrastructure Accounting team Serve as a key point of contact with external auditors and local statutory auditors on international infrastructure matters Drive process improvements and automation, including leveraging AI tooling, to enhance the efficiency and accuracy of financial reporting Minimum Requirements: Have 10+ years of progressive experience in accounting, with operational experience at technology or infrastructure-heavy companies Are a qualified accountant (ACA, ACCA, CPA, or equivalent) with a bachelor's degree in Accounting, Finance, or equivalent practical experience Possess strong technical accounting knowledge of ASC 842 and ASC 360, particularly as applied to infrastructure, data center, or compute-related arrangements Have worked across both US GAAP and IFRS, and are comfortable owning the differences rather than handing them off Have experience managing a significant lease or fixed asset portfolio in a high-growth environment Demonstrate strong analytical abilities and comfort working with large, complex datasets Have a track record of improving scalable financial processes in fast-moving environments Have experience mentoring and developing accounting professionals Are adept at translating technical accounting concepts into financial implications for non-finance stakeholders Communicate clearly and influence effectively across cross-functional partners and time zones Have experience partnering with engineering, infrastructure, or operations teams to improve financial reporting and cost transparency Preferred Requirements: Experience at hyperscalers, large compute consumers, data center operators, or telecommunications companies with exposure to infrastructure lease or asset structures (including colocation, dark fiber IRUs, GPU clusters, networking equipment, and data center buildouts) Experience with lease accounting software and / or fixed asset subledger systems at scale Experience with statutory reporting across multiple jurisdictions, including working with external providers and local audits Experience supporting a US-headquartered multinational from a regional or European finance hub SQL proficiency for querying and analyzing large infrastructure and accounting datasets Background in Big 4 accounting or advisory services combined with industry experience Experience with complex data center buildouts or hybrid cloud / on-premise environments Knowledge of AI/ML infrastructure and associated cost structures Experience applying AI tooling (including Claude) to accounting processes, memo drafting, or close automation Proven ability to navigate ambiguity and drive results in rapidly changing environments 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: €140.000 — €170.000 EUR Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. 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 (United States | Canada) Workplace: Remote 1Password is growing. We’ve surpassed $500M in ARR and we’re continuing to accelerate, earning a spot on the Forbes Cloud 100 for four years in a row and teaming up with iconic partners like Oracle Red Bull Racing. About 1Password At 1Password, we’re building the foundation for a safe, productive digital future. Our mission is to unleash employee productivity without compromising security by ensuring every identity is authentic, every application sign-in is secure, and every device is trusted. We innovated the market-leading enterprise password manager and pioneered Unified Access Management, a new cybersecurity category built for the way people and AI agents work today. As one of the most loved brands in cybersecurity, we take a human-centric approach in everything from product strategy to user experience. Over 180,000 businesses, from Fortune 100 leaders to the world’s most innovative AI companies, trust 1Password to help their teams securely adopt the SaaS and AI tools they need to do their best work. If you're excited about the opportunity to contribute to the digital safety of millions, to work alongside a team of curious, driven individuals, and to solve hard problems in a fast-paced, dynamic environment, then we want to hear from you. Come join us and help shape a safer, simpler digital future. We're looking for a Staff Developer to join our Authentication Enablement team. Our mission is to help people, families and businesses unlock 1Password and access their information safely and simply, with authentication that stays in the background. Every 1Password app establishes its session with our servers through the service this team owns, whether the user signs in with a password and Secret Key, SSO, a passkey, MFA or a trusted device. As a Staff Developer, you’ll help move authentication out of the monolith and into an independent service with its own data, so sign-in can scale and stay available independently of the rest of the platform. The service continues to handle production traffic throughout the migration, so we’re moving endpoint by endpoint and table by table, with weighted rollouts, consistency checks and tested rollback procedures. You'll help set the technical direction for the migration and for new authentication services, as 1Password extends trusted access to AI agents. How we’re using AI today Our Engineering, Product, and Design teams are thoughtfully integrating AI across the full software and product development lifecycle to move faster without sacrificing quality or security. In practice, that looks like engineers using AI-assisted coding tools to accelerate reviews and catch bugs earlier, product managers synthesizing user research at scale, and designers rapidly prototyping and iterating with AI-generated mockups. We approach AI the same way we approach security: with clear principles, human accountability at every consequential decision point, and rigorous evaluation before anything ships to customers. This is a remote opportunity within Canada and the US. What we're looking for: - Significant experience building and operating backend services. - Deep expertise with distributed systems and data: moving live traffic or data between systems without downtime, event streaming or change data capture, and keeping two sources of truth consistent through a cutover. - Strong experience designing asynchronous workflows and migrating synchronous processes that depend on large atomic transactions to eventually consistent designs, while preserving correctness, clarifying tradeoffs, and improving performance. - Working knowledge of authentication and authorization technologies such as OAuth, OIDC, WebAuthn, passkeys, or MFA, including common implementation pitfalls and security risks. - A track record of setting technical direction for a team: owning large, multi-quarter projects, writing the designs others build from, and explaining tradeoffs to engineers and leadership alike. - You raise the engineers around you through reviews, design feedback and mentoring, and you work to hand off ownership rather than holding on. Bonus points for: - Extensive experience with Go or another backend language such as Java, C#, Rust, C++, or Python. - Experience extracting services from a monolith. - Experience with MySQL, Redis, Kafka, and DynamoDB at scale. - Familiarity with Secure Remote Password protocol. - Owning services with strict availability targets, including SLOs, on-call and incident response. What you can expect: - Lead a portion of the authentication service's roadmap for the next 12 months, and work closely with leadership to ensure that planning reflects the full scope of requirements. - Own significant designs in the remaining migration: moving session and device management flows, switching source of truth one provable iteration at a time, and publishing authentication events for other services to consume. - Make and document the team's technical decisions, weighing reliability and security against delivery. - Set the team's standards for testing, observability and safe rollout, so regressions surface before customers see them. - Build the platform pieces the service needs when 1Password doesn't have them yet, and work with sibling teams to propagate new distributed system standards across the organization. - Partner with the Authorization, Identity Services and Security teams, and guide the product teams whose features depend on authentication as they integrate with the service. - Hold AI-assisted work on security-critical code to the same bar as everything else: human judgment, careful validation and small, reviewable changes. - Participate in the 24/7 on-call rotation for tier-one services. USA-based roles only: The annual base salary for this role is between $192,000 USD and $278,000 USD, plus immediate participation in 1Password's benefits program (health, dental, 401k and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. Canada-based roles only: The annual base salary for this role is between $167,000 CAD and $242,000 CAD, plus immediate participation in 1Password’s generous benefits program (health, dental, RRSP and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. At 1Password, we approach each individual's compensation with a promise of fair market value and internal equity commensurate with experience and specific skill set. This posting is for an existing vacancy. Our culture At 1Password, we prioritize collaboration, clear and transparent communication, receptiveness to feedback, and alignment with our core values: keep it simple, lead with honesty, and put people first. You’ll be part of a team that challenges the status quo, and is excited to experiment and iterate in search of the best solution. That said, 1Password is not for everyone https://blog.1password.com/inside-the-culture-powering-1passwords-next-chapter/. Our work is demanding, we strive for excellence, and the pace is fast. We need people who are keen to take on challenging problems, who seek feedback to grow, and who are driven to make an impact. If you're looking for a place where you can settle into a comfortable routine, this might not be the right fit for you. We’re looking for individuals who are proven experts in their fields, as well as those who are highly adaptable, can thrive in ambiguity and through change, are curious, and above all deliver results. How we work with AI We are committed to leveraging cutting-edge technology—including AI—to achieve our mission. We also understand that thinking critically about AI in its current forms will help us create better solutions for our customers and ourselves with its future forms, which will help us continue to close the gap between security and privacy and achieve our mission. We want team members at all levels to take the approach of actively learning AI best practices, identifying opportunities to apply AI in meaningful ways, and driving innovative solutions in their daily work. Embracing the future of AI isn't just encouraged—it's an essential part of how we will be successful at 1Password. This approach extends to our hiring process—candidates are welcome to use AI tools responsibly and thoughtfully during the application process. To us, this means we do ask that you join live interviews without using AI tools so we can get to know how you communicate, solve problems, and collaborate with others. Our approach to remote work We believe in the power of remote work, but recognize that in-person connection is important to help us achieve our mission. While we are a remote-first company, travel for in-person engagement is a part of almost all roles, and we require our employees to be ready and willing to take part. Frequency will depend on role and responsibilities, and may include, but is not limited to: annual department-wide offsites, team meetings, and customer/industry events. What we offer We believe in working hard, and rewarding that hard work through our benefits. While not an exhaustive list, here is a glance at what we currently offer: Health and wellbeing 👶 Maternity and parental leave top-up programs 🩺 Competitive health benefits 🏝 Generous PTO policy Growth and future 📈 RSU program for most employees 💸 Retirement matching program 🔑 Free 1Password account Community 🤝 Paid volunteer days 🏆 Peer-to-peer recognition through Bonusly 🌎 Remote-first work environment *Some roles in our GTM team are currently being hired for in-person hybrid work in Toronto and Austin. These roles will specify on the posting. You belong here. 1Password is proud to be an equal opportunity employer. We are committed to fostering an inclusive, diverse and equitable workplace that is built on trust, support and respect. We welcome all individuals and do not discriminate on the basis of gender identity and expression, race, ethnicity, disability, sexual orientation, colour, religion, creed, gender, national origin, age, marital status, pregnancy, sex, citizenship, education, languages spoken or veteran status. Be yourself, find your people and share the things you love. Accommodation is available upon request at any point during our recruitment process. If you require an accommodation, please speak to your talent acquisition partner or email us at nextbit@agilebits.com and we’ll work to meet your needs. Remote work is a part of our DNA. Given that our company was founded remotely in 2005, we can safely say we're experts at building remote culture. That said, remote work at 1Password does mean working from your home country. If you've got questions or concerns about this, your talent partner would be happy to address them with you. Successful applicants will be required to complete a background check that may consist of prior employment verification, reference checks, education confirmation, criminal background, publicly available social media, credit history, or other information, as permitted by local law. 1Password uses artificial intelligence (AI) and machine learning (ML) technologies, including natural language processing and predictive analytics, to assist in the initial screening of employment applications and improve our recruitment process. See here https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf for the latest third party bias audit information. If you prefer not to have your application assessed using AI/ML features, you may opt out by completing this form https://jobs.ashbyhq.com/1password/automation-notice. For additional information see our Candidate Privacy Notice https://1password.com/files/candidate-privacy-notice.pdf.

Location: Remote (United States | Canada) Workplace: Remote 1Password is growing. We’ve surpassed $500M in ARR and we’re continuing to accelerate, earning a spot on the Forbes Cloud 100 for four years in a row and teaming up with iconic partners like Oracle Red Bull Racing. About 1Password At 1Password, we’re building the foundation for a safe, productive digital future. Our mission is to unleash employee productivity without compromising security by ensuring every identity is authentic, every application sign-in is secure, and every device is trusted. We innovated the market-leading enterprise password manager and pioneered Unified Access Management, a new cybersecurity category built for the way people and AI agents work today. As one of the most loved brands in cybersecurity, we take a human-centric approach in everything from product strategy to user experience. Over 180,000 businesses, from Fortune 100 leaders to the world’s most innovative AI companies, trust 1Password to help their teams securely adopt the SaaS and AI tools they need to do their best work. If you're excited about the opportunity to contribute to the digital safety of millions, to work alongside a team of curious, driven individuals, and to solve hard problems in a fast-paced, dynamic environment, then we want to hear from you. Come join us and help shape a safer, simpler digital future. As the Senior Director, Implementation, you’ll report to the Vice President, Customer Success and set the strategic and operational direction for 1Password’s implementation and professional services function. You’ll lead a team responsible for helping customers across Small and Medium-sized Businesses (SMB), Commercial, and Enterprise segments adopt 1Password successfully, improve time to value, and achieve measurable outcomes. How we’re using AI today Across GTM, we’re transforming the way we work with AI. We expect every seller, CSM, and team member to become a power user, using it daily to work smarter and move faster. AI is already embedded in how we operate – from real-time coaching that sharpens how we sell and interact with customers, to surfacing insights that help us anticipate needs – creating more time for meaningful customer engagement. If you’re excited to reshape how you think, make decisions, and drive growth with AI, you’ll feel right at home here. This is a remote opportunity within Canada and the US. What we're looking for: - Bring 10+ years of experience in professional services, customer onboarding, or implementation, including at least 5 years in a leadership role, with experience in cybersecurity and Software as a Service (SaaS) environments. - Demonstrate a strong background in technical implementations, systems, infrastructure, and integrations for complex customers. - Apply experience from implementation, professional services, solutions architecture, or technical account management environments. - Scale onboarding and implementation programs across SMB, Commercial, and Enterprise customer segments. - Build capacity-planning models and use utilization, delivery performance, and other Key Performance Indicators (KPIs) to guide decisions. - Combine strategic thinking with a willingness to engage directly in complex customer situations, team challenges, and operational details. - Influence senior leaders and cross-functional partners through clear communication, sound judgment, data, and a strong understanding of customer and business needs. What you can expect: - Define and execute the strategic vision for implementation and professional services, including the launch and evolution of scalable services offerings. - Lead, coach, and grow a cross-functional team of Solutions Architects, Onboarding Specialists, Project Managers, and Implementation Specialists. - Establish scalable playbooks, frameworks, and processes that improve onboarding, implementation quality, customer adoption, and time to value. - Partner with Sales, Customer Success, Product, Marketing, and Operations to create effective transitions from pre-sale activities through customer implementation. - Oversee implementation delivery across customer segments, ensuring projects meet scope, timeline, quality, and outcome expectations. - Use data and reporting to monitor project health, capacity, utilization, customer outcomes, and opportunities for improvement. - Serve as an escalation point for complex implementation challenges while leading change initiatives that strengthen team effectiveness and customer results. USA-based roles only: The annual base salary for this role is between $192,000 USD and $264,000 USD. This role is also eligible for immediate participation in 1Password's benefits program (health, dental, 401k and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. Canada-based roles only: The annual base salary for this role is between $182,000 CAD and $250,000 CAD. This role is also eligible for immediate participation in 1Password’s generous benefits program (health, dental, RRSP and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. At 1Password, we approach each individual's compensation with a promise of fair market value and internal equity commensurate with experience and specific skill set. This posting is for an existing vacancy. Our culture At 1Password, we prioritize collaboration, clear and transparent communication, receptiveness to feedback, and alignment with our core values: keep it simple, lead with honesty, and put people first. You’ll be part of a team that challenges the status quo, and is excited to experiment and iterate in search of the best solution. That said, 1Password is not for everyone https://blog.1password.com/inside-the-culture-powering-1passwords-next-chapter/. Our work is demanding, we strive for excellence, and the pace is fast. We need people who are keen to take on challenging problems, who seek feedback to grow, and who are driven to make an impact. If you're looking for a place where you can settle into a comfortable routine, this might not be the right fit for you. We’re looking for individuals who are proven experts in their fields, as well as those who are highly adaptable, can thrive in ambiguity and through change, are curious, and above all deliver results. How we work with AI We are committed to leveraging cutting-edge technology—including AI—to achieve our mission. We also understand that thinking critically about AI in its current forms will help us create better solutions for our customers and ourselves with its future forms, which will help us continue to close the gap between security and privacy and achieve our mission. We want team members at all levels to take the approach of actively learning AI best practices, identifying opportunities to apply AI in meaningful ways, and driving innovative solutions in their daily work. Embracing the future of AI isn't just encouraged—it's an essential part of how we will be successful at 1Password. This approach extends to our hiring process—candidates are welcome to use AI tools responsibly and thoughtfully during the application process. To us, this means we do ask that you join live interviews without using AI tools so we can get to know how you communicate, solve problems, and collaborate with others. Our approach to work We recognize the power of both in person collaboration and remote work. Some roles are designated as remote-first, with an expectation that individuals work from their homes majority of the time, while others are designated as in-office roles, with an expectation of being on-site on a regular basis. We recognize that certain roles benefit from regular, in-person connection to support collaboration, team cohesion, and customer engagement. For all roles, occasional travel may be required. This includes things like: department-wide offsites, quarterly department meetings and periodic customer events. These events are typically held in varying locations across Canada, USA and/or EMEA. In leadership roles, you can expect to travel once per month on average. Note: All go-to market roles will have an in-person onboarding in Toronto. What we offer We believe in working hard, and rewarding that hard work through our benefits. While not an exhaustive list, here is a glance at what we currently offer: Health and wellbeing 👶 Maternity and parental leave top-up programs 🩺 Competitive health benefits 🏝 Generous PTO policy Growth and future 📈 RSU program for most employees 💸 Retirement matching program 🔑 Free 1Password account Community 🤝 Paid volunteer days 🏆 Peer-to-peer recognition through Bonusly 🌎 Remote-first work environment *Some roles in our GTM team are currently being hired for in-person hybrid work in Toronto and Austin. These roles will specify on the posting. You belong here. 1Password is proud to be an equal opportunity employer. We are committed to fostering an inclusive, diverse and equitable workplace that is built on trust, support and respect. We welcome all individuals and do not discriminate on the basis of gender identity and expression, race, ethnicity, disability, sexual orientation, colour, religion, creed, gender, national origin, age, marital status, pregnancy, sex, citizenship, education, languages spoken or veteran status. Be yourself, find your people and share the things you love. Accommodation is available upon request at any point during our recruitment process. If you require an accommodation, please speak to your talent acquisition partner or email us at nextbit@agilebits.com and we’ll work to meet your needs. Remote work is a part of our DNA. Given that our company was founded remotely in 2005, we can safely say we're experts at building remote culture. That said, remote work at 1Password does mean working from your home country. If you've got questions or concerns about this, your talent partner would be happy to address them with you. Successful applicants will be required to complete a background check that may consist of prior employment verification, reference checks, education confirmation, criminal background, publicly available social media, credit history, or other information, as permitted by local law. 1Password uses artificial intelligence (AI) and machine learning (ML) technologies, including natural language processing and predictive analytics, to assist in the initial screening of employment applications and improve our recruitment process. See here https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf for the latest third party bias audit information. If you prefer not to have your application assessed using AI/ML features, you may opt out by completing this form https://jobs.ashbyhq.com/1password/automation-notice. For additional information see our Candidate Privacy Notice https://1password.com/files/candidate-privacy-notice.pdf.

Location: San Francisco; New York Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. PRODUCT AT BASETEN Baseten is building a new cloud for AI. Our ambition is to make inference, training, and agent execution part of one coherent platform, and to shape how the next generation of AI products gets built. Product decisions here reach from the economics of GPU infrastructure to the abstractions developers build on every day. We’re hiring builders and tastemakers with the ambition to help create that future. You should bring a strong point of view about what should exist, the taste to make complex technology feel simple, and the technical judgment to build it alongside engineers, researchers, and designers. You’ll work directly with customers and forward deployed teams, turn emerging capabilities into new possibilities for developers, and carry an idea from early conviction through to production and adoption. THE ROLE Build the future of AI model routing, where every task gets the right model, automatically. Today, developers often have to choose between models that are faster, cheaper, or more capable. But the right model isn't always the same for every request. Grid is Baseten's intelligent model routing platform, designed to help developers get the best possible results across open and frontier models without manually managing every decision. We're starting with coding agents, where model choice can have an enormous impact on quality, speed, and cost. As Product Manager for Grid, you'll work with engineers, researchers, and customers to build a new category of AI infrastructure. You'll help shape how intelligent routing works, how developers control it, and how we prove it's better than choosing a single model. RESPONSIBILITIES - Own the product roadmap for Grid, from early developer adoption to production deployments and enterprise expansion. - Work with researchers and engineers to improve intelligent model selection, routing policies, fallbacks, and controls. - Build evaluation frameworks that measure real-world outcomes, including task quality, completion time, latency, and total cost. - Shape the developer experience for onboarding, configuration, observability, and routing decisions. - Help customers understand why a model was selected and give them confidence and control over how routing behaves. - Work through technical challenges involving conversation history, tool compatibility, prompt caching, retries, and routing overhead. - Partner with GTM and customers to turn early pilots into sustained adoption and revenue growth. REQUIREMENTS - Experience building and commercializing AI/ML products or developer platforms, with demonstrated adoption or business impact. - A technical background in software engineering, ML engineering, research, or equivalent hands-on experience. - Experience working with researchers or ML engineers on model behavior, evaluation, or learned systems in production. - Strong understanding of AI model quality, latency, cost, and the tradeoffs involved in optimizing across them. - Excellent developer product instincts, with an appreciation for both simple APIs and enterprise-level controls. - Hands-on experience using coding agents and a strong point of view on where automation helps developers and where they need control. - Comfort building emerging products where the technical approach and customer expectations are still evolving. NICE TO HAVE - Experience with LLM gateways, model routing, AI agents, coding harnesses, or multi-model platforms. WHAT SUCCESS LOOKS LIKE Developers can build better AI applications without having to manually choose and optimize every model. Grid consistently delivers measurable improvements in quality, speed, or cost, and becomes a trusted part of customers' production AI stacks. BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Location: Remote: New York City About Neo4j: Neo4j is the graph intelligence platform that transforms data into knowledge to power the next generation of intelligent applications and AI systems. It includes enterprise-ready knowledge graphs for accurate, explainable, and governed AI; the most comprehensive, trusted, and easy-to-deploy graph capabilities across any environment and data source; and an unmatched ecosystem trusted by 84 of the Fortune 100 and supported by the world’s largest graph community. Intelligence that works. Results that matter. Built to work everywhere and integrate with everything across every cloud for dynamic, personalized, and autonomous AI systems. We deliver quicker results, contextual knowledge, and solutions that impact customers and employees across the business. Our Vision: At Neo4j, we have always strived to help the world make sense of data. As business, society and knowledge become increasingly connected, our technology promotes innovation by helping organizations to find and understand data relationships. We created, drive and lead the graph database category, and we’re disrupting how organizations leverage their data to innovate and stay competitive. About the Role: We are seeking a driven individual who is passionate about new business acquisition and enterprise sales. As a Corporate Account Executive, you will be responsible for executing a strategic sales plan within your assigned territory, focusing on revenue growth and new customer acquisition. This role offers the opportunity to work closely with cross-functional teams, including solution engineering (pre-sales), marketing, and professional services, to ensure customer satisfaction and long-term success. Candidates must be based in the Greater NYC area to be considered for this role. Key Responsibilities: Develop and execute a strategic territory plan targeting key organizations and applicable use cases to build a robust pipeline and achieve quarterly and annual sales objectives. Become an expert in our product offerings and industry solutions, delivering compelling demos, presentations, and proposals that clearly articulate business value. Leverage deep knowledge of the market to position our solutions as the best fit for customer needs, highlighting the advantages over competing technologies and approaches. Lead complex sales cycles with a solution-based approach, employing strategic selling strategies and tactics, including the Land & Expand model to grow accounts. Manage the full sales process from prospecting to closing, consistently securing new logos and expanding within existing accounts. Provide guidance and mentorship to Business Development Representatives (BDRs) and Field Marketing resources to align on target accounts and support pipeline development. Maintain accurate and up-to-date information within the CRM system, ensuring data integrity and adhering to forecasting guidelines. Develop strong partnerships with public cloud providers (AWS, Google, Microsoft Azure) and leverage these relationships to drive growth opportunities. What You Bring to the Role: 3+ years of proven success in commercial software sales with a consistent track record of exceeding targets. Demonstrated experience managing complex sales processes within enterprise markets such as Data Warehousing, Business Intelligence, Data Science, AI/ML, or related fields. Proven ability to independently develop and close new client relationships while effectively managing long-term business engagements. Deep understanding of commercial open-source business models, including selling on-premise and cloud & SaaS hybrid solutions. Ability to craft and execute sales strategies tailored to specific industries, leveraging partner and Go-to-Market knowledge. Strong presentation, communication, and organizational skills with a knack for building strong business champions. Familiarity with sales methodologies such as MEDDIC, SPIN, or Challenger Sales, and experience working in a fast-paced, competitive market. Experience collaborating with cross-functional teams to deliver on customer expectations, including Pre-Sales, Marketing, Customer Success, and Field Engineering resources. Proven ability to build and nurture relationships with key decision-makers, including CTOs, IT leaders, and technical end users, while collaborating with Solution Architects, Professional Services, and Channel Partners. Preferred Qualifications: Experience selling complex technical solutions, with a focus on subscription-based models and cloud deployments. Knowledge of graph technology, data management tools, or other advanced data-driven technologies. A Bachelor’s degree in a relevant field and proficiency in standard corporate productivity tools (Google Docs, Salesforce, MS Office). The annual on target earnings range for this position based in the United States is listed below. This range is an estimate, and the actual on target earnings may vary based on Neo4j’s compensation practices, job related skills, depth of experience, relevant certifications and trainings, in addition to geographic location. Based on the factors above, Neo4j utilizes the full width of the range. In addition to the range below, US employees are eligible for a stock option grant and certain roles are eligible for an annual bonus. Employees in this position are also eligible to participate in the Company’s standard benefit programs, which currently include the following: medical, dental, and vision benefits, 401(k), paid time off, and certain leaves of absence. Annual On Target Earnings Range $200,000 — $240,000 USD Why Join Neo4j? Neo4j is, without question, the most popular graph intelligence platform in the world. We have customers in every industry globally, and our products are a proven product/market fit. Joining our team is an opportunity to shape the future of data and analytics. Below are just a few exciting facts about Neo4j. Neo4j is one of the fastest-scaling technology companies in this industry. It recently surpassed $200M in annual recurring revenue (ARR), doubling its ARR over the past three years. Raised the biggest funding round in database history ($325M Series F). Backed by world-class investors like Eurazeo, GV (formerly Google Ventures), and Inovia Capital, Neo4j has raised over $600M in funding and is currently valued at over $2Bn. This puts Neo4j among the most well-funded database companies in history. 84% of the Fortune 100 and 58% of the Fortune 500 use Neo4j. Examples include Boston Scientific , BT Group , Caterpillar , Cisco , Comcast , Department for Education UK , eBay , NBC News , Novo Nordisk , Worldline , and others . Co-founder and CEO Emil Eifrem has built an amazing culture that prides itself on relationships, inclusiveness, innovation, and customer success. Countless industry awards . Massive enterprises and individual developers/data scientists love Neo4j. A strong sense of community and ecosystem is built around the platform. A recent Forrester Total Economic Impact™ Study cited Neo4j as delivering 417% ROI to customers. Research shows that members of underrepresented communities are less likely to apply for jobs when they don’t meet all the qualifications. If this is part of the reason you hesitate to apply, we’d encourage you to reconsider and give us the opportunity to review your application. At Neo4j, we are committed to building awareness and helping to improve these issues. One of our central objectives is to provide an inclusive, diverse, and equitable workplace for everyone to develop their potential and have a positive, career-defining experience. We look forward to receiving your application. Neo4j Values: Neo4j is a Silicon Valley company with a Swedish soul. We foster collaboration and each of us is empowered to contribute and put our innovative stamp on projects. We hire candidates who reflect the following Neo4j core values: (we)-[:VALUE]->(relationships) (we)-[:FOCUS_ON]->(userSuccess) (we)-[:THRIVE_IN]->(:Culture {type: [‘Open’, ‘Inclusive’]}) (we)-[:ASSUME]->(:Intent {direction:’Positive’}) (we)-[:WELCOME]->(:Discussions {nature: ‘IntellectuallyHonest’}) (we)-[:DELIVER_ON]->(ourCommitments) Neo4j is committed to protecting and respecting your privacy. Please read the privacy notice regarding Neo4j's recruitment process to understand how we will handle the personal data that you provide. More information at www.neo4j.com . ©2026 Neo4j, Inc., Neo Technology®, Neo4j®, Cypher®, Neo4j Bloom™, Neo4j Graph Data Science Library™, Neo4j® Aura™, and Neo4j® AuraDB™ are registered trademarks or a trademark of Neo4j, Inc. All other marks are owned by their respective companies.

Location: New York City, NY | Seattle, WA; 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 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 growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Agent Security's mission is to safely increase how much of the world's work agents can do, starting inside Anthropic. Claude now writes and ships code, runs experiments and acts on people's behalf, for hours at a time. How much more it can take on depends on how safely it can operate. If, in the worst case, an agent misbehaves, Anthropic and the public may bear the consequences. Our mandate is to mitigate this risk, and Anthropic’s mission depends on it. The Partnerships team pairs security engineers with the teams at Anthropic that build Claude, build agents and rely on agents. Those teams are our partners. When a team wants its agents to do more, we threat model the plan with them and build the controls together. Most of this has no playbook, so we have often created new controls from first principles. The ones that work become part of our toolbox, spread to other teams, and in some cases ship in our products. We're hiring an Engineering Manager to lead this team of security engineers. This is first and foremost a people leadership role. Few have secured agents at scale, especially at a frontier lab, so we don't expect you to have done it. We do expect you to have led security engineering teams, and we care most about how you lead people and reason about security. This role operates at the frontier. Each model generation, and each new harness, brings new challenges. The number of teams building on agents keeps growing, and partner teams won't always agree with your calls. In return, you will have the chance to directly contribute to making transformative AI go well, which is the heart of our mission. Key responsibilities Hire, mentor and grow senior and staff security engineers, and raise the bar as the team scales Set the team's investment strategy, deciding which teams get embedded engineers, and for how long, as demand outgrows the team Support the team through high-stakes safety and security calls made under uncertainty and on tight timelines Balance long-term investment in shared controls against partner teams’ immediate asks Deliver large security migrations across all of Anthropic Work through difficult tradeoffs with partner teams in ways that build trust and understanding Representative Projects In the past, the team has: Invented a new kind of classifier-based control for agents partnering with an internal team to develop and roll it out Co-built a sandbox with a product team, choosing what to enforce first so that adoption stuck Defined the security standards for running agents across the company and partnered with many different teams on how to hit these standards Minimum qualifications Excellent people management skills. You've hired, developed and managed senior and staff engineers, grown engineers into staff or lead roles, and kept a team delivering through changing priorities. Deep security management experience. You've managed security engineering teams and answered to executives for risk and tradeoffs. Strong written and oral communication skills. You've explained hard tradeoffs to executives and to engineers in plain words. Resilience, emotional awareness, low ego and high empathy Experience leading large migrations and highly cross-functional work A willingness to dive into the details to tie-break complex trade-offs without any clear answer, and the ability to stand by these decisions Preferred qualifications Experience embedding security engineers with product, infrastructure or research teams, or running a security partnerships team Agent security or AI/ML security experience Familiarity with AI safety concepts and research Leading in hypergrowth 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 ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual team offsite: Each year, we bring your entire team together in a new location - past offsites have included Croatia, Italy and Cancún - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. About the role We’re hiring our first Product Enablement specialist. You will join the Product & Technical Enablement team and help our go-to-market teams get ready for every product launch, across Agents, APIs, and Creative. You will support our global go-to-market teams. Your mission: help sellers understand, demo, and sell each new launch with confidence, with preparation that starts well before launch day. What sets this role apart: we’re looking for someone who knows our products well enough to demo them and sell them. You have used agents, APIs, or creative tools hands-on, and you can explain how they work and why they matter to customers. You blend that with sales, solutions engineering, or product marketing experience, so you can teach sellers how to use a product, how to demo it, and how to pitch it. This role sits within GTM Enablement and reports to the Product & Technical Enablement Lead. You will work in close partnership with: - Product marketing and engineering teams (keeping content accurate as the platform ships) - GTM enablement (aligning on shared onboarding infrastructure) You will support product enablement for our go-to-market teams across Agents, APIs, and Creative, with the most day-to-day focus on API and Creative launches. This is a full-stack role on a lean team: you’ll build content, deliver training, design practice environments, and flex across products as needed. What you’ll do - Support new product launches: get an early heads-up from product marketing, research, and engineering, follow releases from alpha through GA, and have training ready before launch day, not the week of - Build launch workshops: go beyond what shipped and why it matters, with hands-on workshops on how to use the product, how to demo it, and how to pitch the value - Support competitive enablement: turn product marketing battlecards into trainings, simulations, and demo workshops, so sellers can answer parity, differentiation, and value questions with confidence - Support product certification: help define what “product certified” means for GTM teams, and build the playbooks and training content that raise product confidence across the whole field, not only new hires - Support everboarding and onboarding: keep training tied to new releases and capabilities, and keep content current as products ship - Craft realistic practice environments: demo certifications, role-play scenarios, and customer simulations with scored feedback, built on our own agent technology - Operate AI-natively: use ElevenLabs’ own voice and agent technology to build training and practice environments; default to AI tools to build faster, and teach others to do the same - Measure what matters: define and track the percent of sellers certified within 2 weeks of GA, demo and pitch quality scores, and win rate and stage progression against named competitors, and use the data to improve each launch Requirements We’re looking for someone who knows our products well and can teach sellers to demo and sell them. You’ll thrive here if you: - Have 4-7+ years as an enterprise seller or solutions engineer, or as a seller who moved into product marketing or enablement, at a SaaS, platform, or API-first company - Are hands-on with agents, APIs, or creative tools, and understand at a conceptual level how they work - Have demoed and pitched technical products to customers, and can explain the value, not only the features - Have a track record of teaching, mentoring, or building training, in addition to your customer-facing work - Are comfortable building a program from scratch, with no playbook to inherit - Have credibility with sellers, built from time in the seat or supporting sellers directly, and work well with product marketing, research, and engineering teams - Communicate clearly and can adapt product material for different audiences without diluting it Bonus - Experience at a high-growth AI/ML, developer tools, or API-first company - Background in voice AI, conversational AI, or contact center technology - Vertical depth in financial services, healthcare, telecom or CCaaS, or at other AI companies - Hands-on experience with competing voice and agent platforms - Experience running workshops or labs for sellers or customers - Experience building role-play, simulation, or demo practice environments Location Remote-first, globally distributed role. Expect occasional travel to team hubs and onboarding sessions. Candidates should be able to work effectively across US and European time zones. We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.

Location: Toronto, ON; Austin, TX Workplace: Hybrid 1Password is growing. We’ve surpassed $500M in ARR and we’re continuing to accelerate, earning a spot on the Forbes Cloud 100 for four years in a row and teaming up with iconic partners like Oracle Red Bull Racing. About 1Password At 1Password, we’re building the foundation for a safe, productive digital future. Our mission is to unleash employee productivity without compromising security by ensuring every identity is authentic, every application sign-in is secure, and every device is trusted. We innovated the market-leading enterprise password manager and pioneered Unified Access Management, a new cybersecurity category built for the way people and AI agents work today. As one of the most loved brands in cybersecurity, we take a human-centric approach in everything from product strategy to user experience. Over 180,000 businesses, from Fortune 100 leaders to the world’s most innovative AI companies, trust 1Password to help their teams securely adopt the SaaS and AI tools they need to do their best work. If you're excited about the opportunity to contribute to the digital safety of millions, to work alongside a team of curious, driven individuals, and to solve hard problems in a fast-paced, dynamic environment, then we want to hear from you. Come join us and help shape a safer, simpler digital future. The Go To Market (GTM) Performance & Strategy team helps teams turn strategy into consistent execution through targeted coaching, practice, and performance improvement. As a Senior Field Performance Partner, you’ll work with frontline Sales and Channel leaders across US and Canada to diagnose performance gaps, build focused development plans, and use data and AI to help teams improve. Your work will help 1Password’s go-to-market organization perform at its best while advancing our mission to enable a safe, productive digital future. This is not a traditional enablement role. We don’t believe more training is always the answer. We believe enablement should start with the performance problem, use data and AI to understand what’s happening, and apply the most targeted intervention possible. You’ll independently own the performance improvement cycle for the teams you support: diagnose → prescribe → activate → reinforce → measure → adjust. You’ll combine business results, AI-generated coaching insights, field observations, and manager input to identify where teams and individuals need support. You’ll turn those insights into focused enablement plans, use AI to scale individualized practice and coaching, help managers reinforce the right behaviors, and measure whether performance actually changed. As 1Password continues to scale our partner-led GTM motion, you’ll also help make channel execution part of how our field operates every day. Rather than treating channel as a separate motion or specialist skill, you’ll help managers and teams build the behaviors needed to effectively identify, engage, and sell with partners as part of their everyday work. Your job isn’t to keep people busy with enablement. It’s to help them perform better. How we’re using AI today Across GTM, we’re transforming the way we work with AI. We expect every seller, CSM, and team member to become a power user, using it daily to work smarter and move faster. AI is already embedded in how we operate – from real-time coaching that sharpens how we sell and interact with customers, to surfacing insights that help us anticipate needs – creating more time for meaningful customer engagement. If you’re excited to reshape how you think, make decisions, and drive growth with AI, you’ll feel right at home here. Expectations of this role This is a hybrid role. You will be expected to work from 1Password's Toronto/Austin office 3 days per week, with the flexibility to work from the office up to 5 days based on business needs. What we're looking for: - 7+ years of experience in a Business-to-Business (B2B) technology go-to-market (GTM) organization across Sales, Customer Success, Solutions Engineering, BDR, Enablement, frontline leadership, or a combination of these areas. - Experience working in a channel or partner-led GTM environment, with practical knowledge of selling with and through resellers, MSPs, distributors, and other channel partners, including partner engagement, account mapping, co-selling, and partner-led growth. - Experience carrying a quota, leading a frontline GTM team, or directly coaching customer-facing teams strongly preferred. - Strong business and analytical judgment, with the ability to diagnose performance challenges, identify root causes, and translate insights into practical, measurable plans that improve skills, behaviors, and business outcomes. - Understanding of sales methodologies such as MEDDPICC and their application in coaching, enablement, or field execution. - Credibility with frontline GTM leaders and the ability to operate independently as a coach, advisor, and constructive challenger. - Curiosity and fluency with AI, with experience using automation, dashboards, and performance signals to make coaching and development more individualized, scalable, and measurable. - A bias toward action and a commitment to experimentation, measurement, and continuous improvement. - Understanding of how selling practices and customer needs vary across the US and Canadian markets. What you can expect: - Own the end-to-end performance improvement cycle for the frontline managers and teams you support: diagnose, prescribe, activate, reinforce, measure, and adjust. - Establish a consistent operating rhythm with managers, bringing data-informed insights and recommendations about where their coaching can have the greatest impact. - Combine business results, behavioral data, AI-generated coaching insights, field observations, and manager input to identify performance gaps and create focused development plans. - Create strategic enablement plans that address root causes and become part of the team’s day-to-day work. - Use AI-powered role-play, practice, feedback loops, manager coaching, live learning, and tools such as Hyperbound to support individualized development at scale. - Help managers reinforce key skills, products, messaging, partner motions, and GTM priorities through ongoing coaching and team practice. - Partner across Technical Enablement, Revenue Operations, Go-to-Market Engineering, and other teams to bring the right resources into identified performance challenges. - Facilitate workshops, webinars, and other learning experiences when appropriate, while enabling managers to lead reinforcement with their teams. - Measure whether interventions are changing behavior and improving outcomes, and share recurring performance patterns and field feedback with cross-functional partners. USA-based roles only: The annual base salary for this role is between $127,000 USD and $170,000 USD. This role is also eligible for immediate participation in 1Password's benefits program (health, dental, 401k and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. Canada-based roles only: The annual base salary for this role is between $114,000 CAD and $152,500 CAD. This role is also eligible for immediate participation in 1Password’s generous benefits program (health, dental, RRSP and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. At 1Password, we approach each individual's compensation with a promise of fair market value and internal equity commensurate with experience and specific skill set. This posting is for an existing vacancy. Our culture At 1Password, we prioritize collaboration, clear and transparent communication, receptiveness to feedback, and alignment with our core values: keep it simple, lead with honesty, and put people first. You’ll be part of a team that challenges the status quo, and is excited to experiment and iterate in search of the best solution. That said, 1Password is not for everyone https://blog.1password.com/inside-the-culture-powering-1passwords-next-chapter/. Our work is demanding, we strive for excellence, and the pace is fast. We need people who are keen to take on challenging problems, who seek feedback to grow, and who are driven to make an impact. If you're looking for a place where you can settle into a comfortable routine, this might not be the right fit for you. We’re looking for individuals who are proven experts in their fields, as well as those who are highly adaptable, can thrive in ambiguity and through change, are curious, and above all deliver results. How we work with AI We are committed to leveraging cutting-edge technology—including AI—to achieve our mission. We also understand that thinking critically about AI in its current forms will help us create better solutions for our customers and ourselves with its future forms, which will help us continue to close the gap between security and privacy and achieve our mission. We want team members at all levels to take the approach of actively learning AI best practices, identifying opportunities to apply AI in meaningful ways, and driving innovative solutions in their daily work. Embracing the future of AI isn't just encouraged—it's an essential part of how we will be successful at 1Password. This approach extends to our hiring process—candidates are welcome to use AI tools responsibly and thoughtfully during the application process. To us, this means we do ask that you join live interviews without using AI tools so we can get to know how you communicate, solve problems, and collaborate with others. Our approach to work We recognize the power of both in person collaboration and remote work. Some roles are designated as remote-first, with an expectation that individuals work from their homes majority of the time, while others are designated as in-office roles, with an expectation of being on-site on a regular basis. We recognize that certain roles benefit from regular, in-person connection to support collaboration, team cohesion, and customer engagement. For all roles, occasional travel may be required. This includes things like: department-wide offsites, quarterly department meetings and periodic customer events. These events are typically held in varying locations across Canada, USA and/or EMEA. In leadership roles, you can expect to travel once per month on average. Note: All go-to market roles will have an in-person onboarding in Toronto. What we offer We believe in working hard, and rewarding that hard work through our benefits. While not an exhaustive list, here is a glance at what we currently offer: Health and wellbeing 👶 Maternity and parental leave top-up programs 🩺 Competitive health benefits 🏝 Generous PTO policy Growth and future 📈 RSU program for most employees 💸 Retirement matching program 🔑 Free 1Password account Community 🤝 Paid volunteer days 🏆 Peer-to-peer recognition through Bonusly 🌎 Remote-first work environment *Some roles in our GTM team are currently being hired for in-person hybrid work in Toronto and Austin. These roles will specify on the posting. You belong here. 1Password is proud to be an equal opportunity employer. We are committed to fostering an inclusive, diverse and equitable workplace that is built on trust, support and respect. We welcome all individuals and do not discriminate on the basis of gender identity and expression, race, ethnicity, disability, sexual orientation, colour, religion, creed, gender, national origin, age, marital status, pregnancy, sex, citizenship, education, languages spoken or veteran status. Be yourself, find your people and share the things you love. Accommodation is available upon request at any point during our recruitment process. If you require an accommodation, please speak to your talent acquisition partner or email us at nextbit@agilebits.com and we’ll work to meet your needs. Remote work is a part of our DNA. Given that our company was founded remotely in 2005, we can safely say we're experts at building remote culture. That said, remote work at 1Password does mean working from your home country. If you've got questions or concerns about this, your talent partner would be happy to address them with you. Successful applicants will be required to complete a background check that may consist of prior employment verification, reference checks, education confirmation, criminal background, publicly available social media, credit history, or other information, as permitted by local law. 1Password uses artificial intelligence (AI) and machine learning (ML) technologies, including natural language processing and predictive analytics, to assist in the initial screening of employment applications and improve our recruitment process. See here https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf for the latest third party bias audit information. If you prefer not to have your application assessed using AI/ML features, you may opt out by completing this form https://jobs.ashbyhq.com/1password/automation-notice. For additional information see our Candidate Privacy Notice https://1password.com/files/candidate-privacy-notice.pdf.

Location: United States About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role We’re looking for a GPU Compute Partnerships & Commercial Operations Manager to secure and manage the external GPU capacity that enables our inference business to serve customers and grow. Working closely with GTM, technical, and finance teams, you’ll translate commercial demand into provider sourcing priorities, help secure commercially attractive capacity, and manage provider agreements throughout their lifecycle. Your work will help ensure that capacity availability, deployment timelines, and provider economics support customer commitments and business objectives. You’ll own day-to-day commercial and operational coordination with compute providers — from evaluating proposals and progressing agreements to managing capacity changes, validating service delivery, and ensuring accurate billing. You’re welcome to work remotely from the United States . Your responsibilities will include: Align compute supply with commercial demand: Work with GTM and technical teams to understand expected customer demand, deployment requirements, and timing, and translate these into external capacity sourcing priorities. Source and evaluate compute partners: Identify and assess GPU providers based on pricing, available capacity, deployment timelines, service reliability, and suitability for customer inference workloads. Support commercial negotiations: Compare proposals and help negotiate rates , capacity commitments, payment terms, service levels, and remedies that support the economics and delivery requirements of the inference business. Drive agreements to execution: Coordinate Legal, Finance, Procurement, Security, and technical stakeholders through review, approval, signature, provider onboarding, and purchase order creation, keeping timelines aligned with planned deployments and customer commitments. Manage ongoing compute partnerships: Serve as a primary commercial and operational contact for providers , coordinating capacity changes, service escalations, renewals, and contractual follow-through as business needs evolve. Reconcile provider performance: Review monthly availability and SLA reports against contractual commitments and internal monitoring data. Work with providers and technical teams to resolve discrepancies and capture applicable service credits. Manage billing accuracy and commercial adjustments: Validate charges against agreed rates, billable capacity, service periods, and delivered service . Resolve billing disputes and ensure contractual credits and adjustments are reflected. Coordinate timely payments: Work with Finance and Accounts Payable to ensure approved invoices are paid on time and outstanding issues are resolved, supporting continuity of critical capacity relationships. Maintain visibility into capacity and commitments: Track contracted capacity , spend, payment schedules, renewal dates, notice periods, provider performance , and open issues to inform commercial planning and upcoming capacity decisions. We expect you to have: Experience in infrastructure partnerships, commercial operations, technology sourcing, or vendor management supporting a commercial business. Strong commercial judgment and the ability to connect capacity availability, provider terms, and service performance to customer delivery and business economics. Experience coordinating agreements across Legal, Finance, Procurement, and technical teams. Confidence working with pricing, contractual commitments, operational data, invoices, and service credits. Strong project management and communication skills, with the ability to drive progress across teams without direct authority. Comfort with infrastructure concepts and translating technical requirements into commercial and operational actions. Attention to detail in reconciling discrepancies and maintaining clear records of obligations, decisions, and adjustments. It will be an added bonus if you have: Experience with GPU compute, cloud infrastructure, data center services, or other capacity-based technology partnerships . Familiarity with inference workloads and the factors affecting capacity requirements and unit economics . Experience supporting capacity planning in a customer-facing or GTM environment. Experience administering SLAs, availability calculations, service credits, and consumption- or commitment-based billing. Familiarity with contract management, procurement , and accounts payable systems. What success looks like: External GPU capacity is secured in time to support customer deployments and commercial demand. Provider pricing and commitments support the inference business’s commercial objectives. Agreements and internal approvals progress in line with deployment timelines. Provider issues and capacity changes are resolved with clear ownership and follow-through. Monthly service delivery and invoices are reconciled accurately, with applicable credits and adjustments captured. GTM, technical, and finance teams have clear visibility into available and committed capacity, spend, and upcoming provider decisions. Key employee benefits in the US: Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families. 401(k) plan: Up to 4% company match with immediate vesting. Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers. Remote work reimbursement: Up to $85/month for mobile and internet. Disability & life insurance : Company-paid short-term, long-term and life insurance coverage. #LI-VC1 Pay Transparency We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law. Base Compensation Range $160,000 — $205,000 USD Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Remote - EMEA Who We Are: Alpaca is a US-headquartered, global leader in agent-first brokerage infrastructure for stocks, ETFs, options, crypto, fixed income, 24/5 trading, and more. Amongst our subsidiaries, Alpaca is a licensed financial services company, serving hundreds of financial institutions across 40 countries with our institutional-grade APIs. This includes broker-dealers, investment advisors, wealth managers, hedge funds, and crypto exchanges, totalling over 10 million brokerage accounts. Our global team is a diverse group of experienced engineers, traders, and brokerage professionals who are working to achieve our mission of opening financial services to everyone on the planet. We're deeply committed to open-source contributions and fostering a vibrant community, continuously enhancing our award-winning, developer-friendly API and the robust infrastructure behind it. Alpaca is proudly backed by $400 million in funding from top-tier global investors including Portage Ventures, Spark Capital, Tribe Capital, Social Leverage, Horizons Ventures, Opera Tech Ventures, SBI Group, Derayah Financial, Unbound, Peak XV, Elefund, and Y Combinator. Our Team Members: We're a dynamic team of 400+ globally distributed members who thrive working from our favorite places around the world, with teammates spanning the USA, Canada, Japan, Hungary, Nigeria, Brazil, the UK, and beyond! We're searching for passionate individuals eager to contribute to Alpaca's rapid growth. If you align with our core values—Stay Curious, Have Empathy, and Be Accountable—and are ready to make a significant impact, we encourage you to apply. Your Role: As a Cyber & AI Risk Analyst, you will play a critical role in strengthening Alpaca’s security, compliance, and AI risk posture across the organization. Reporting to the Cyber GRC Lead, you will support the identification, assessment, and documentation of cybersecurity and AI-related risks that impact our infrastructure, products, trading systems, and internal operations. You will contribute to the design and execution of our risk management framework across traditional cyber domains (cloud security, infrastructure, application security, third-party risk, regulatory compliance) while also helping establish foundational governance controls for AI systems, models, and AI-enabled product features. This role sits at the intersection of cybersecurity, emerging AI governance, regulatory expectations, and financial services risk management. You’ll collaborate closely with Engineering, Product, Legal, Compliance, and IT teams to ensure Alpaca remains resilient, compliant, and forward-looking in how we manage both Cyber and AI risk. We’re looking for someone curious, organized, and eager to grow. If you enjoy learning how technical systems work, translating risk into clear language, and building structured programs from the ground up, then this role is for you. Prior GRC experience is a plus, but not required; we’re happy to invest in the right candidate. Things You Get To Do: Support the execution of Alpaca’s cybersecurity risk management program Conduct cyber risk assessments across cloud infrastructure , APIs, trading systems, and internal platforms Assist in identifying, documenting, and evaluating AI-related risks (model risk, data privacy, bias, explainability, adversarial threats, model misuse) Help develop and maintain AI governance controls aligned with evolving regulatory expectations such as the EU AI Act Perform third-party/vendor security and AI risk assessments Contribute to control testing across frameworks such as SOC 2, ISO 27001, CSA Star, NIST CSF, and emerging AI governance standards Track remediation efforts and maintain risk registers and reporting dashboards Support internal and external audits by preparing documentation and evidence Monitor regulatory developments related to cybersecurity, financial services, and AI governance Help mature policies, standards, and procedures for both cyber and AI domains Support the development of a repeatable AI tool/model evaluation process (intake → review → decision) for new and in-use AI tools Support Alpaca's AI usage guidance and standards, including safe use of AI-enabled developer tools and assistants Help maintain AI logging/monitoring standards (audit logging, evidence) for AI systems Use AI tools in day-to-day work and help test how well AI-related controls are working Who You Are (Must-Haves): 1+  years of experience in cybersecurity, risk management, IT audit, GRC, or a related field - internships, coursework, or equivalent experience is welcome Foundational understanding of cybersecurity principles (network security, cloud security, IAM, application security, vulnerability management) Familiarity with common frameworks such as NIST CSF, ISO 27001, SOC 2, or similar Understanding of AI/ML concepts and associated risks (data governance, model bias, hallucinations, prompt injection, model misuse, etc.) - you don’t need to be an expert, just curious Strong written communication and documentation skills Ability to assess technical risks and clearly communicate them to non-technical stakeholders Experience working cross-functionally with engineering and product teams Highly organized with strong attention to detail Comfort working in a fast-paced environment Genuine curiosity about AI and a strong desire to learn, actively experiments with AI tools, and wants to grow AI fluency as the field evolves Comfort using AI tools daily and willingness to learn newer agentic / assistant-based tooling Who You Might Be (Nice-to-Haves): Academic background, personal interest, or real world experience in fintech, financial services, or trading platforms Exposure to AI governance, model risk management, or responsible AI programs Familiarity with emerging AI regulatory frameworks (e.g., NIST AI RMF, EU AI Act concepts, model governance practices) Experience with GCP or other major cloud platforms Experience supporting or observing SOC 2, ISO 27001, or regulatory audits Security certifications (e.g., Security+, SSCP) or early-stage GRC certifications Interest in pursuing advanced certifications (CISA, CRISC, CISSP, or AI governance certifications) Experience working remotely or in distributed teams Hands-on experience with AI/agentic tooling (e.g., AI coding assistants, LLM apps, or similar) Personal projects or self-study in AI/ML that show initiative and interest How We Take Care of You: Competitive Salary & Stock Options Health Benefits New Hire Home-Office Setup: One-time USD $500 Monthly Stipend: USD $150 per month via a Brex Card Alpaca is proud to be an equal opportunity workplace dedicated to pursuing and hiring a diverse workforce. 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Location: Sydney, Australia About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Transaction Principal for Australia at Anthropic, you'll drive the commercial sourcing and transaction execution process for our Australian data center capacity deals. You'll lead RFP processes, negotiate term sheets, and serve as the central leader ensuring seamless stakeholder alignment from initial sourcing through lease execution. This role is critical to securing the infrastructure that powers Anthropic's frontier AI systems in the region — you'll bridge commercial negotiations with complex internal coordination across legal, finance, engineering, and network teams, and partner closely with our Compute Markets team who own the Australia market strategy and government relationships. This is not an established leasing org; you'll be building process alongside execution. Responsibilities: Lead the RFP and commercial sourcing process for Australian data center deals, managing developer outreach, proposal evaluation, and competitive selection Negotiate term sheets and manage the LOI process, structuring commercial terms that meet Anthropic's technical and business requirements while maintaining strong developer partnerships Create the bridge from LOI to executed transaction, ensuring all commercial, technical, and legal requirements are satisfied for deal closure Serve as project manager for cross‑functional stakeholder engagement — coordinating due diligence teams, internal and external legal counsel, network organization, platform engineers, and finance to ensure alignment prior to lease execution Act as the single point of contact for auxiliary organizations including networks, deployments, and government relations, providing regular updates on transaction progress and leasing status Develop and maintain transaction timelines, tracking critical‑path items and proactively identifying risks that could impact deal closure Ensure all stakeholder requirements are captured and addressed in commercial agreements, translating technical and operational needs into contractual terms Manage complex digital infrastructure development activities to a construction‑ready state, through a developer or directly Marry the right projects, capital stacks, and developers at the right stages Document and refine transaction processes and playbooks to enable scalable deal execution as Anthropic expands its infrastructure footprint in region Partner with the Compute Markets Manager to prioritize sites and counterparties, and feed deal learnings back into Australia market strategy You may be a good fit if you: Have 10+ years of experience in transaction management, commercial real estate, data center leasing, or infrastructure procurement Possess a proven track record of managing complex, multi‑stakeholder transactions from sourcing through execution Have strong negotiation skills with experience structuring term sheets, LOIs, and commercial agreements Excel at project management and can coordinate across legal, technical, finance, and operational teams simultaneously Have experience with RFP processes and competitive sourcing for large‑scale infrastructure or real estate transactions Have experience working in or with Australian markets, with knowledge of the local real estate and development landscape Are highly organized with strong attention to detail while maintaining focus on strategic deal objectives Can operate effectively in fast‑paced, ambiguous environments where processes are being built alongside execution Demonstrate exceptional communication skills and can coordinate effectively across time zones with HQ‑based teams and external partners It's a bonus if you: Have experience with data center or hyperscale infrastructure transactions specifically Come from the development side of the industry rather than traditional brokerage/leasing — you understand how DC development works and how value is created (yield‑on‑cost, cap rates, development fees) Understand technical requirements for AI/ML workloads including power density, cooling, and network connectivity Have worked with legal teams on complex lease negotiations or infrastructure agreements Understand utility coordination, power procurement, or energy considerations in data center transactions, particularly in the Australian context (NEM, grid connection) Have relationships within the Australian data center developer and broker ecosystem Have a background in corporate development, strategic partnerships, or infrastructure investment Have experience in high‑growth technology companies managing infrastructure expansion 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.