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Senior Specialist Solutions Engineer (AI/ML) Location: London, United Kingdom - Hybrid As a Senior Specialist Solutions Engineer (SSE), ML Engineering, you will be the trusted technical ML expert to both Databricks customers and the Field Engineering organisation. You will work with Solution Architects to guide customers in architecting production grade ML applications on Databricks, while aligning their technical roadmap with the evolving Databricks Data Intelligence Platform. You will continue to strengthen your technical skills through applying the latest technologies in GenAI, LLMOps, and ML, while expanding your impact through mentorship and establishing yourself as an ML expert. You will be reporting to the Manager, Field Engineering (Specialist Team). The impact you will have Lead the architectural design of production grade ML workloads on our unified platform, encompassing the entire MLOps lifecycle from end to end pipeline creation and optimization (training/inference) to seamless integration with cloud native services. Provide advanced technical support to the Solution Architects during the technical sales cycle by building MVPs, leading deep dive technical sessions, and strategically aligning ML/data science solutions to complex customer business challenges using relevant real world examples. Serve as the trusted technical advisor for customers developing GenAI solutions, specializing in the design and implementation of RAG architectures on enterprise knowledge bases, enabling natural language querying of structured data, and establishing content generation and monitoring frameworks. Drive community growth and platform adoption through thought leadership activities, including the creation of technical tutorials and training materials, as well as leading hackathons and presenting at industry conferences. What we look for Experienced, technical, customer facing, and with a background in Data Science / Machine Learning, and Data Engineering. Looking to learn and develop in a customer facing technical role as a subject matter expert (SME) in a pre sales environment. Pre sales or post sales experience working with external clients across a variety of industry markets. Data Science/ML Skills Hands on industry ML experience in at least one of the following: ML Engineer: Develop production grade cloud (AWS/Azure/GCP) infrastructure that supports the deployment of ML applications, including drift monitoring. Data Scientist: Experience with the latest techniques in natural language processing, including vector databases, fine tuning LLMs, and deploying LLMs with tools such as HuggingFace, Langchain, and OpenAI. Hands on experience working with Distributed Spark based systems. Experience communicating and teaching technical concepts to non technical and technical audiences alike. Passion for collaboration, life long learning, and driving our values through ML. Preferred 2+ years customer facing experience in a pre sales or post sales role. Preferred Experience working with Apache Spark to process large scale distributed datasets. Can meet expectations for technical training and role specific outcomes within 3 months of hire. Can travel up to 30% when needed. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio economic status, veteran status, and other protected characteristics. Compliance If access to export controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

AWS Principal Platform Engineer - UK Security Clearance required. Location: London, UK (Hybrid - typically 1 day per week in office/on-site) Contract: Permanent, Full-time Package: £90,000 - £120,000 + 10% Bonus + 10% Shares + Benefits (see more below) About Us At Appvia, we help organisations navigate their journey to Cloud and DevOps maturity. We are a specialist cloud and platform engineering consultancy and product house, delivering modern cloud platforms that enable teams to build, deploy, and operate software securely and efficiently. Our mission is to enable every organisation to deliver applications confidently in the cloud. We focus on building strong platform foundations, combining automation, governance, and developer enablement, so engineering teams can move faster without compromising on reliability or security. We work across public and private sector customers, supporting large scale transformation programmes and long term platform evolution. About the Role As an AWS Principal Platform Engineer, you will play a senior technical leadership role across Appvia's platform engineering engagements. You will help customers design, build, and evolve scalable, resilient, and secure cloud platforms, while guiding teams towards modern DevOps and platform engineering best practices. This is a hands on leadership role for someone who enjoys operating at the intersection of engineering, architecture, and consultancy. You will work closely with engineers, delivery leads, and solution architects, shaping technical direction, supporting early stage solution design, and mentoring teams as they deliver complex cloud platforms. You will also contribute to Appvia's wider engineering capability, influencing standards, patterns, and approaches that are reused across multiple customer engagements. Interview Process - 4 Stage Discovery conversation with Talent Acquisition Paired technical assessment with an Engineering team member Technical deep dive with Practice Leadership Competency focused final interview with Engineering Leadership Important You must either hold active SC, or be eligible for SC: British Passport or ILR To have resided in the UK for at least the last 5 years. Have no criminal records. Have no financial irregularities. About you You'll be passionate about new technology and automation, and experienced in leading an Engineering Team in Agile and DevOps best practices. You'll also be able to talk to us about your: Expert knowledge of continuous integration and deployment practices Ability to collaborate with people of all levels of technical ability Ability to lead and mentor on industry best practices Project Management experience Fantastic people skills, including the ability to motivate a team towards a common goal Bid work and Pre Sales Engineering experience Responsibilities Collaborate with prospective and existing customers to define and execute strategies for cloud and DevOps adoption. Educate customers and industry stakeholders on the benefits and best practices of cloud native technologies. Lead large, complex public cloud projects, providing strategic direction and selecting appropriate technologies. Manage teams of platform engineers and consultants, fostering a positive and collaborative team culture. Engage with enterprise clients to understand their unique challenges and deliver tailored solutions. Stay up to date with the latest trends and emerging technologies, contributing to industry knowledge sharing through blog posts and videos. Skills Platform Engineering: Mastery of designing and implementing scalable, resilient, and secure platforms. Automation: Expertise in infrastructure as code (IaC) practices, automation tools (e.g., Terraform, CloudFormation) and scripting languages (e.g. Python, Ruby). Container Orchestration: In depth knowledge and hands on experience with Kubernetes and its managed counterparts (EKS, AKS, GKE). Public Cloud Expertise: In depth knowledge of AWS, Azure, or GCP services, architecture, and best practices. DevOps Mastery: Excellent knowledge of CI/CD, containerisation, and serverless technologies. Networking: Expertise in designing and managing secure, scalable AWS network architectures (VPC, VPN, Load Balancers, Transit Gateway). Experience Leadership on Large Projects: Proven experience leading and delivering large, complex public cloud projects. Team Management and Mentorship: Extensive experience leading and managing teams, fostering a collaborative culture, and mentoring team members. Enterprise Customer Facing Experience: Significant experience engaging with enterprise clients, managing relationships, and ensuring high levels of customer satisfaction. Continuous Learning and Industry Involvement: Proven commitment to staying up to date with the latest trends and contributing to industry knowledge sharing. Qualifications Certification in relevant cloud technologies (AWS, Azure, GCP) at an expert/professional level is highly desirable, e.g.: AWS Solutions Architect Professional AWS Certified Advanced Networking - Specialty (highly desirable) Certification in Kubernetes administration is desirable: Certified Kubernetes Administrator (CKA) Certified Kubernetes Security Specialist (CKSS) Why join Appvia? We are a self funded, London based startup; providing businesses with a fast and secure way to deploy containerised applications into the cloud. We are on a mission to enable organisations to make cloud based software delivery simple and efficient, whilst having the insights into costs, security and cadence. As a company that holds customers at the heart of everything we do, we are looking for candidates that want to make a real change to how Dev and Ops is working in the industry. With our customers, such as the UK's Home Office & Bank of England, are harnessing cloud native technologies, limiting the challenges of infrastructure management and rapidly delivering digital products. What's on offer? Work life balance Flexible working with core hours of 10 4pm because we know life happens outside of work Hybrid working - only one compulsory office day per month 25 days' holiday a year, plus bank holidays An additional day off for your birthday Enhanced maternity and paternity to full pay Workplace Nursery Benefit to help working parents For your well being Full Private Healthcare cover for you with partners and children covered 50% Death in Service Cycle to Work scheme Electric Car Scheme Pension plus a salary sacrifice option for even greater savings Employee Assistance Programme Free hygiene products available in the London office Mental health support Free therapy through AXA Access to the Headspace App Trained Mental Health First Aiders Other fun perks Learning budget of £1,000 a year Your own MacBook Pro while you work at Appvia Dog friendly office Wear what makes you comfortable Free snacks in the office Pool table & ping pong table Regular team socials, board game nights, industry meetups and more! We are proud to be an equal opportunities employer and actively encourage, respect, and recognise diversity of thought and background throughout the business. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity, and disability status. Note: While all roles are active and approved at the time of posting, the dynamic nature of our start up means some applications may be processed to pipeline talent for future opportunities rather than current openings. We will strive to keep you informed of any changes to the status of your application.

Databricks is seeking a Lakebase Sales Specialist to help customers modernize their operational data foundation with Databricks Lakebase, our fully-managed Postgres offering for intelligent applications. This high-impact role sits within the Lakebase Go-To-Market team and partners closely with regional Account Executives to drive adoption of Lakebase with platform, application, and data teams. Lakebase gives customers a unified, governed foundation for operational workloads and AI-native applications, helping them move away from a fragmented estate of point databases toward a modern, scalable, serverless Postgres service. If you want to be at the forefront of operational databases for AI and intelligent applications at one of the fastest-growing data and AI companies in the world, this is your opportunity. The impact you will have Drive new Lakebase revenue by identifying, qualifying, and driving Lakebase activations and consumption within a defined territory, in partnership with regional Account Executives and the broader account team. Lead with outcomes for key Lakebase personas - including platform teams and developers, data teams, and central IT- articulating how Lakebase helps them ship features faster, simplify operational data architectures, and improve governance and cost efficiency. Sell the value of fully-managed Postgres for intelligent applications, positioning Lakebase as the optimal choice for operational workloads that power real-time, AI-driven experiences. Run complex, multi-threaded sales cycles from discovery and value hypothesis through commercial negotiation and close, navigating executive, technical, and line-of-business stakeholders. Orchestrate proof-of-value and POCs that validate Lakebase's benefits for OLTP-style workloads, reverse ETL, and AI/ML-driven applications, in partnership with solution architects and specialists. Compete and win against legacy and cloud-native operational databases by leveraging our compete assets, benchmarks, and customer references. Align to measurable business outcomes such as performance, developer productivity, time-to-market for new features, cost reduction, and simplification of the operational data landscape. Partner cross-functionally with Product Management, Marketing, Customer Success, and Partner teams to shape territory plans, launch plays, and co-selling motions with key ISVs and GSIs. Enable the field by sharing Lakebase best practices, success stories, and sales motions with broader sales teams, helping scale Lakebase proficiency across the organization. What success looks like in this role This role requires the ability to operate across two key motions simultaneously: Establish top strategic focus accounts by engaging application development teams to create net-new intelligent applications leveraging Lakebase. Drive longer-term Postgres standardization and migration within Databricks' most strategic accounts. Candidates should demonstrate how they can act as a force multiplier across multiple dimensions of the business. Success in this role requires strength in four areas: Business ownership - Operate at a business-unit level by tracking revenue, pipeline, and key observations, and by identifying areas needing additional focus or support. Strategic account engagement - Partner with account teams to engage priority accounts across the global DB700, driving strategic opportunities from initial engagement through successful outcomes. Field, account, & customer enablement: Align customers and the field on the value of Lakebase by equipping AEs and SAs with the messaging and execution motions needed to confidently own accounts without specialist intervention. Market voice and thought leadership - Develop an internal and external presence by contributing to global AMAs and internal forums, and by representing Databricks at key first- and third-party events. The interview process is designed to evaluate candidates across all four of these dimensions. What we look for Proven enterprise SaaS sales experience, consistently exceeding quota in complex, multi-stakeholder deals. Proven success selling data platforms, operational databases (e.g., Postgres, MySQL, cloud-native DBaaS), or adjacent data/AI infrastructure to technical buyers and business leaders. Strong understanding of modern data and application architectures, including cloud-native services, microservices, event-driven systems, and how operational data underpins AI and analytics strategies. Ability to sell to both technical stakeholders (developers, architects, data engineers) and business stakeholders (product leaders, operations, line-of-business owners). Demonstrated experience leading specialist or overlay motions, working jointly with core Account Executives to create and progress opportunities. Executive presence with the ability to whiteboard architectures, lead C-level conversations, and build trust with senior decision makers. Strong value selling skills: adept at discovering pain, building a business case, and tying technical capabilities to clear, quantified outcomes. Excellent communication, storytelling, and negotiation skills, with comfort presenting to both large and small audiences. Bachelor's degree or equivalent practical experience. Preferred qualifications Experience selling Postgres, operational databases, OLTP workloads, or transactional cloud database services, ideally within large or strategic accounts. Familiarity with data platforms, lakehouse architectures, and cloud ecosystems (AWS, Azure, GCP), including how operational databases fit within broader data and AI strategies. Understanding of reverse ETL, real-time decisioning, and operational analytics use cases, and how they drive value for customer-facing and internal applications. Exposure to AI-native and agent-driven applications that depend on low-latency, highly scalable operational data services. Prior experience in a high-growth, category-creating environment, helping shape new plays, messaging, and customer narratives. Experience collaborating with partners and ISVs to drive joint pipeline and co-sell motions. This description is intended to outline the core responsibilities and qualifications for the Lakebase Sales Specialist role. Actual responsibilities may evolve as the Lakebase product and go-to-market motions continue to grow and mature.

Location:London; New York On-Site Full-time Compensation:$90K - $140K Offers Equity 15% Quaterly Bonus Our client is a high-growth, venture-backed technology company that is transforming the insurance claims space. Operating as an AI-native Third-Party Administrator (TPA) within a $200B industry, our client pairs an expert in-house claims team with advanced proprietary software. This hybrid approach delivers faster resolutions, improved outcomes, and a significantly more humane experience for policyholders during vulnerable times. Having secured over $15M in funding from top-tier global venture capital firms, our client already manages operations representing over $200M in insurance premiums across a diverse partner base of more than 50 organizations, including multiple publicly traded enterprises. With strong market traction and an urgent mission, our client recognizes that exceptional people are the foundation of their success. They are seeking an entrepreneurial and driven Founding Talent Lead to serve as their first dedicated recruitment hire. Working directly with the founding team, this individual will build the organization's recruiting engine from scratch, partner with leadership across all business units (engineering, sales, claims, and operations) to define excellence, and relentlessly source high-caliber professionals who will raise the bar for the entire organization. Key Responsibilities End-to-End Recruitment Management: Own the full hiring lifecycle, including crafting compelling position profiles, designing highly predictive interview stages, facilitating hiring decisions, delivering offers, and successfully closing exceptional candidates. Talent Sourcing & Pipeline Generation: Proactively surface passive talent through targeted outbound sourcing, professional network referrals, creative channel discovery, and long-term relationship building ahead of hiring needs. Recruitment System Infrastructure: Build, evaluate, and continuously refine scalable recruitment systems, processes, and applicant tracking workflows to support rapid, high-signal talent assessment. Referral Network Engineering: Design and optimize internal employee referral initiatives to leverage the collective networks of the current team. People & Onboarding Infrastructure: Collaborate on initial post-hire touchpoints, helping to establish structured onboarding, human resources processes, and early performance management frameworks so new hires transition smoothly and productively. Professional Experience: 2 to 7 years of full-lifecycle recruiting experience, with a strong preference for individuals who have succeeded in fast-growing startup environments. Location & Work Schedule: Absolute willingness and ability to work in-office 5 days per week at the client's office in either New York City or London. System Builder Mindset: A proven track record of establishing recruitment workflows and sourcing processes from the ground up, coupled with the agility to adapt and restructure those systems as organization needs evolve. Versatile Sourcing Instincts: Outstanding sourcing capabilities across multiple business domains and seniority levels, with a sharp eye for identifying top-tier talent that traditional search methods overlook. Technical Recruiting Expertise: Prior experience sourcing and securing engineers, developers, and other highly technical roles within high-performance technology environments is strongly preferred. Communication & Relationship Skills: Exceptional verbal and written communication skills, with an innate ability to build genuine trust, represent the employer brand accurately, and spark excitement in high-potential candidates. Professional Experience: 2 to 7 years of full-lifecycle recruiting experience, with a strong preference for individuals who have succeeded in fast-growing startup environments. Location & Work Schedule: Absolute willingness and ability to work in-office 5 days per week at the client's office in either New York City or London. System Builder Mindset: A proven track record of establishing recruitment workflows and sourcing processes from the ground up, coupled with the agility to adapt and restructure those systems as organization needs evolve. Versatile Sourcing Instincts: Outstanding sourcing capabilities across multiple business domains and seniority levels, with a sharp eye for identifying top-tier talent that traditional search methods overlook. Technical Recruiting Expertise: Prior experience sourcing and securing engineers, developers, and other highly technical roles within high-performance technology environments is strongly preferred. Communication & Relationship Skills: Exceptional verbal and written communication skills, with an innate ability to build genuine trust, represent the employer brand accurately, and spark excitement in high-potential candidates. Due to the high volume of applications we anticipate, we regret that we are unable to provide individual feedback to all candidates. If you do not hear back from us within 4 weeks of your application, please assume that you have not been successful on this occasion. We genuinely appreciate your interest and wish you the best in your job search. Commitment to Equality and Accessibility At MLabs, we are committed to offer equal opportunities to all candidates. We ensure no discrimination, accessible job adverts, and providing information in accessible formats. Our goal is to foster a diverse, inclusive workplace with equal opportunities for all. If you need any reasonable adjustments during any part of the hiring process or you would like to see the job-advert in an accessible format please let us know at the earliest opportunity by emailing . MLabs Ltd collects and processes the personal information you provide such as your contact details, work history, resume, and other relevant data for recruitment purposes only. This information is managed securely in accordance with MLabs Ltd's Privacy Policy and Information Security Policy, and in compliance with applicable data protection laws. Your data may be shared only with clients and trusted partners where necessary for recruitment purposes. You may request the deletion of your data or withdraw your consent at any time by contacting .

Scale plays a vital role in the development of AI applications. Our customer base is growing exponentially, and you will be on the front lines, ensuring that the world's most innovative companies become passionate, lifelong Scale customers. Solutions Engineers partner closely with AEs, Product, and MLEs to lead prospective customers through pre-sales, delivering customized demos and pilots to secure the "technical win". Solutions Engineers scope customer technical requirements and develop an actionable SOW. They will work closely with the delivery team to help with initial implementation. Solutions Engineers are relentlessly curious about customer needs and pain points. They employ their expert Scale product knowledge and GenAI knowledge to design solutions that best address these needs. Solutions Engineers are strong relationship builders, great project managers, and provide technical expertise. You will: Partner with Scale AEs on the customer journey, delivering tailored demos and prototypes according to the customer's requirements. Develop technical domain expertise in Generative AI / large language model applications for Enterprise use cases, including customers in financial services, insurance, SaaS, and similar enterprises. Be accountable for securing the "technical win" by unblocking technical challenges. Interact with customers daily to understand their needs and design solutions to better serve them. Design and develop "Scopes of Work" by breaking down customer challenges into a project plan. Work closely with forward deployed Software and Machine learning Engineers to develop agents in the initial post sales stage. Work with AEs and PMs to identify customer specific feature requests. Drive strategic initiatives to improve the efficiency and effectiveness of the Solution Engineering team. Ideally, you'd have: Strong engineering background with prior experience working with clients in a pre or post sales capacity to realize business goals. Prior experience developing with Python, Java and/or other web development languages. Experience working in enterprise SaaS, cloud tech, finance, fintech or similar industries in a technical capacity with end customer engagement. A track record as a self starter, motivated to independently unblock technical issues in the field with the customer, away from the mothership. Presentation skills with a high degree of technical credibility when speaking with executives and front line engineers. High level of comfort communicating effectively across internal and external organizations. Intellectual curiosity, empathy, and ability to operate with high velocity. Nice to haves: GenAI Experience PLEASE NOTE: Our policy requires a 90 day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high quality data and full stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's Know Your Rights poster for additional information. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

Senior Talent Acquisition Business Partner - French Speaking Cloudflare United States, London, United Kingdom Hybrid Full-time Senior People Job Description About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world's largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine's Top Company Cultures list and ranked among the World's Most Innovative Companies by Fast Company. At Cloudflare, we're not looking for people who wait for a polished roadmap; we're looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you're the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you'll fit right in. Available Location:London, UK About the Role: We are looking for a Senior Talent Acquisition Business Partner - GTM to join our London-based EMEA team. Acting as a strategic talent advisor and go-to-market specialist, you will drive the expansion of our sales and GTM teams with full autonomy. You will leverage your deep market expertise, extensive network, and AI-driven strategies to identify and secure top-tier talent for Cloudflare. While your primary focus will be the SEUR region, using your recruitment experience in France, Spain, Italy and Portugal to navigate these specific markets, you will also maintain the agility to pivot your support to other regions as business needs evolve. Language Requirements: Fluency in French is required to effectively partner with regional stakeholders and candidates; proficiency in Spanish is considered a significant advantage. Core Responsibilities End-to-End Recruitment & Talent Strategy:Build and execute comprehensive talent strategies to help hiring leaders build high-performing teams, functioning similarly to how a salesperson puts together a go-to-market plan. Proactive Pipeline & Passive Candidate Outreach:Draw upon an extensive network of industry contacts to build proactive pipeline strategies for a variety of GTM roles, maintaining a heavy focus on Account Executives and Customer Engineers. Stakeholder Management & Advising:Build and maintain solid relationships with the GEO VP and cross-functional stakeholders, including Finance, HRBPs, and compensation teams. AI-Agent Integration & Process Optimisation:Partner with internal automated AI agents and generative tools to eliminate legacy manual tasks, optimise administrative outreach workflows at scale, and synthesise complex market data to inform regional talent strategies. Data Utilisation & Analytics:Leverage foundational data layers and recruitment analytics to inform talent strategies, actively analysing metrics such as time-to-hire and source efficiency to drive optimal operational decisions. Employer Branding & Market Awareness:Lead and execute strategic employer branding initiatives tailored to the EMEA market to elevate Cloudflare's profile as a top destination for GTM talent. Examples of desirable skills Extensive GTM Recruiting Experience:A proven track record of success as a Senior Recruiter, well-versed in scaling technical and sales GTM organisations. Strategic Problem Solving:Ability to operate two "plays" ahead, anticipating potential bottlenecks before they materialise, and resolving complex organisational issues with high autonomy. Negotiation & Closing Skills:Effective negotiation capabilities to secure top-tier candidates, driven by a deep understanding of Cloudflare's unique value proposition. AI & Ecosystem Proficiency:Demonstrated capability to leverage automated workflows, AI-powered sourcing environments, and LLMs for complex boolean logic, market mapping, and productivity multiplication. Candidate Experience Focus:Strong organisational skills to eliminate operational friction, ensuring clear communication and proactive engagement throughout the interview lifecycle. Communication & Influencing:Exceptional written and verbal English skills, with the ability to communicate transparently, foster alignment across teams and stakeholders and leverage data and market insights to influence. Adaptability & Self-Direction:Comfort thriving in ever-changing environments, taking complete responsibility for outcomes while seamlessly navigating an evolving technological and organisational landscape. What Makes Cloudflare Special? We're not just a highly ambitious, large-scale technology company. We're a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare's enterprise customers-at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here's the deal - we don't store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you'd like to be a part of? We'd love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs. More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at or via mail at 101 Townsend St. San Francisco, CA 94107.

The Trader is a senior level position responsible for overseeing a trading book and managing book risk, in coordination with the Trading team. The overall objective of this role is to ensure book trades deliver on budgeted revenues, and to coordinate with key stakeholders to develop the trading franchise. Responsibilities: Oversee a trading book and generate revenues and manage risk for the respective business Coordinate with Sales, Research, CMand and other organizations across Markets and Securities Services and the broader business Trade a book and deliver on budgeted revenues and manage book risk Establish and maintain key relationships to deliver trades to the desk Anticipate client demand in each respective product/market Coordinate with desk analysts as needed and with sales to develop the franchise Leading strong governance and controls: Work in close partnership with control functions such as Legal, Compliance, Market and Credit Risk, Audit, Finance in order to ensure appropriate governance and control infrastructure Build a culture of responsible finance, good governance and supervision, expense discipline and ethics Appropriately assess risk/reward of transactions when making business decisions; demonstrating proper consideration for the firm's reputation. Be familiar with and adhere to Citi's Code of Conduct and the Plan of Supervision for Global Markets and Securities Services Adhere to all policies and procedures as defined by your role which will be communicated to you Obtain and maintain all registrations/licenses which are required for your role, within the appropriate timeframe Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency. Recommended Qualifications: Knowledge of respective products and clients Required licensing and registrations as applicable Advance analytical and numerical competency Consistently demonstrates clear and concise written and verbal communication Effective interpersonal skills to develop and maintain relationships with internal and external stakeholders Ability to analyze and pitch situations and determine suitable counterparties Knowledge of Bloomberg, booking systems, trading protocol, closing technicalities Education: Bachelor's degree/University degree or equivalent experience Master's degree preferred Candidates applying for this role must be aware that it is a Certified Role, subject to the FCA and PRA Certification Regime. The Certification Regime is one element of the Individual Accountability Regime which came into effect on 7 March 2016. Under the Certification Regime, Citi UK regulated entities (Citi entities) must ensure that employees working in certain roles categorised as specified significant harm functions (Certified Roles) are assessed as fit and proper to carry out their role. Under the guidance provided by the FCA and PRA, firms should have regard to the following when assessing fitness and propriety: Honesty, integrity and reputation Financial soundness Competence and capability In order to comply with the requirements of the Certification Regime, Citi entities must take reasonable care to ensure that an employee does not perform a Certified Role without first being certified as Fit and Proper. For this reason, you will be assessed for this role against the Fit and Proper requirements, as described above. This assessment will be carried out through extensive interviews, self-disclosures, permitted criminal record checks, regulated reference checks, credit checks and other background screening checks. Job Family Group: Institutional Trading Job Family: Trading Time Type: Full time Most Relevant Skills Please see the requirements listed above. Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi's EEO Policy Statement and the Know Your Rights poster.

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 Join Anthropic's Customer Success team as an EMEA based Customer Success Manager as we pioneer the future of enterprise AI adoption. As a Customer Success Manager at Anthropic, you'll be the strategic partner and trusted advisor to our most complex customers across EMEA helping them harness the full potential of all our Claude capabilities - API, Claude for Enterprise, and Claude Code. You'll develop genuine partnerships with customers, gaining a deep understanding of their business objectives, strategic direction, AI vision, and technical needs. You'll draw on both your business acumen and technical expertise to serve as a strategic advisor throughout their journey with us. In partnership with the broader account team you will help customers identify the right Claude capabilities for their specific business objectives, working closely with them to provide best practices and guidance while supporting them as their usage (consumption & seat based) grows and evolves. Your role focuses on helping customers scale their usage effectively, implement change management strategies, optimize use cases, and maximize the value of their investment through expanded use cases across their organization. The insights you gather from your customers will directly inform our research priorities, product development, and go-to-market strategies - making you a key voice in shaping how we build and deliver ongoing value as a business. As one of our early CSMs in EMEA, you'll be a pioneer - helping to build regional processes, establishing new customer relationships, and representing Anthropic's brand in a high-growth market. You'll operate with significant autonomy while maintaining strong alignment with global teams, requiring someone who thrives in ambiguous environments and can work effectively across time zones. Responsibilities Build trusting, strategic relationships with key EMEA customer decision makers to understand their business and objectives, identifying opportunities for optimization and expansion Become an expert in Anthropic's products across API, Claude for Enterprise, and Claude Code, understanding the technical nuances and best practices for each to guide customers to the right solutions Leverage your deep knowledge of the customer and regional nuances to proactively drive usage planning, understanding current and future consumption/ adoption and how it creates realized value for the customer Monitor usage patterns and identify optimization opportunities, proactively addressing underutilization across both consumption-based (API) and seat-based (Claude for Enterprise / Claude Code) products to drive full value from contracted commitments Serve as the customer's thought partner, enhancing their knowledge of Claude products by socializing Anthropic's product roadmap, driving awareness on new products and engaging Product PMs as the voice of EMEA customers Document and quantify customer value realized through business outcomes, ROI, and impact metrics to build compelling internal business cases for continued and expanded investment Identify potential use cases and lines of business not currently onboarded, partnering with customers to discover new applications for Claude across different departments, teams, and workflows Develop and execute change management strategies to drive end-user adoption and maximize value within customer organizations, including Train the Trainer programs, Center of Excellence development, and organizational enablement Own the customer experience across their lifecycle - managing comprehensive account and success plans grounded in the customer's business objectives, conducting Quarterly Business Reviews, and serving as the primary conduit between the customer and Anthropic Build Anthropic's brand and customer relationships as a member of the first in-region CS team, developing EMEA-specific processes, playbooks, and best practices where needed that account for regional business cultures You may be a good fit if you have 6+ years of experience in customer-facing roles (Customer Success, Consulting, Solutions Architect, Solutions/ Functional Consultant, Success Engineer or similar) Experience driving success across both consumption-based and seat-based business models, with understanding of different expansion levers and success metrics for each Technical fluency with ability to understand and articulate AI/ML concepts, API integrations, and software implementation patterns Experience explaining and demonstrating technical products to various audiences Strategic mindset to identify growth opportunities and translate them into actionable expansion plans Cross-functional collaborator who represents the customer in a positive, proactive manner, rallying everyone around paths forward that solve customer needs Strong project management skills and ability to manage multiple customer relationships Passion for AI and interest in responsible development of advanced systems Experience working in and building a growing region, while navigating across time zones with US-based headquarters A knack for bringing order to chaos and an enthusiastic "roll up your sleeves mentality. You are a true team player Native English and (Bonus) Fluency in French, German, Spanish or Italian 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: £135,000 - £165,000 GBP Logistics Minimum education: Bachelor's degree or an equivalent combination of education, training, and/or experience Required field of study:A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship:We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. 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.

Business Unit Blackstone Credit & Insurance Solutions - Quant, Data, Risk (QDR) Group Overview Blackstone Credit & Insurance ("BXCI") is one of the world's leading credit investors, with investments spanning private investment grade, asset based lending, public investment grade and high yield, sustainable resources, infrastructure debt, collateralized loan obligations, direct lending and opportunistic credit. BXCI also provides investment management services to insurance companies, helping them deliver for policyholders through world class private credit capabilities. Job Title Vice President or Senior Vice President Responsibilities Risk Analytics & Framework Development Build, enhance, and maintain risk analytics for insurance, public credit, and private credit portfolios, including exposure analysis, factor sensitivities, stress testing, and scenario analysis. Oversee the production of high quality asset cash flow projections across multiple scenarios, balancing portfolio management assumptions with realistic downside outcomes. Integrate third party analytics platforms (Intex, Cardo, FactSet, Aladdin, Bloomberg) into internal risk models and reporting frameworks. Ensure accuracy, consistency, timeliness, and governance of reference data, models, and security level analytics across the risk platform. Stakeholder Partnership Partner with portfolio managers, deal teams, traders, and clients to deliver actionable risk insights supporting portfolio construction, hedging, and underwriting. Collaborate with quant, technology, and data engineering teams to implement scalable workflows, data lineage, access controls, and analytical tools. Train and manage offshore teams to extend analytics coverage and institutional knowledge across time zones. Work closely with performance reporting teams to align attribution frameworks with portfolio risk profiles and investment style. Client Engagement & Communication Communicate complex quantitative concepts clearly to both technical and non technical audiences. Engage directly with clients to understand risk objectives, deliver tailored analysis, and respond to risk related inquiries. Qualifications Blackstone seeks to hire individuals who are highly motivated, intelligent and have demonstrated excellence in prior endeavors. In addition to strong analytical and quantitative skills, the successful candidate should have: Bachelor's degree in Finance, Economics, STEM, or a related field; advanced degree preferred. + years of experience in investment risk, portfolio analytics, or quantitative finance, with exposure to both public and private credit. Insurance a plus. Deep understanding of corporate credit, structured credit, loans, real estate, and securitized products. Demonstrated ownership of risk analytics platforms, data workflows, and cross asset risk frameworks. Familiarity with regulatory, audit, and governance expectations for institutional investors. Strong proficiency with Intex, FactSet, Aladdin, PolyPaths, Bloomberg, or similar platforms. Strong SQL skills; Python proficiency preferred. Experience with BI and reporting tools (e.g., Sigma) and data catalog or lineage platforms.The duties and responsibilities described here are not exhaustive and additional assignments, duties, or responsibilities may be required of this position. Assignments, duties, and responsibilities may be changed at any time, with or without notice, by Blackstone in its sole discretion. Securities Licenses and Other Requirements Depending on the position, you may be required to obtain certain securities licenses if you are in a client facing role and/or if you are engaged in the following: Attending client meetings where you are discussing Blackstone products and/or client questions; Marketing Blackstone funds to new or existing clients; Supervising or training securities licensed employees; Structuring or creating Blackstone funds/products; and Advising on marketing plans prepared by a sales team or developing and/or contributing information for marketing materials. Note: The above list is not the exhaustive list of activities requiring securities licenses and there may be roles that require review on a case by case basis. Please speak with your Blackstone Recruiting contact with any questions. EEO Statement Blackstone is committed to providing equal employment opportunities to all employees and applicants for employment without regard to race, color, creed, religion, sex, pregnancy, national origin, ancestry, citizenship status, age, marital or partnership status, sexual orientation, gender identity or expression, disability, genetic predisposition, veteran or military status, status as a victim of domestic violence, a sex offense or stalking, or any other class or status in accordance with applicable federal, state and local laws. This policy applies to all terms and conditions of employment, including but not limited to hiring, placement, promotion, termination, transfer, leave of absence, compensation, and training. All Blackstone employees, including but not limited to recruiting personnel and hiring managers, are required to abide by this policy.

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 Our mission on the Connectivity team is to make Claude the most connected AI. As agents take on more real-world work, we're taking a leading role in defining how they get access to external systems - safely, with the right permissions, and in ways enterprises can trust. We ship standards and services used by claude.ai, Claude Code, Cowork, and the API. We own the MCP proxy that routes every tool call and the OAuth and token management that keeps connections authenticated. We're also core contributors to the MCP spec - now an open standard under the Linux Foundation - and maintain the official Python and TypeScript SDKs. We're looking for experienced software engineers to join Connectivity. The team spans San Francisco and London, and you'll work closely with partner teams across Anthropic to deliver impact across all of our products. You'll work on problems where reliability and enterprise trust are critical. This means OAuth at scale, admin controls that let IT govern what agents can do, and proxy infrastructure that is reliable by default. What you'll do You'll design, build, and operate the core connectivity infrastructure behind external tool calls - the MCP proxy and the OAuth and token management systems that keep connections authenticated. You'll own reliability for infrastructure that other teams and external partners depend on, including SLOs, on-call, incident response, and postmortems. You'll build the admin controls and permission models that let enterprise IT govern what agents can do, and contribute to the MCP standard and its ecosystem, including the spec and the official Python and TypeScript SDKs. You'll turn ambiguous outcomes into shipped, scoped work, dogfooding what you build in the products that consume it. You'll independently scope complex, multi-month projects, drive cross-org alignment through ambiguous problem spaces, and make architectural decisions that shape how Anthropic builds and scales its products. You'll partner directly with research to productize cutting-edge capabilities, and will have lasting impact on the platform that hundreds of thousands of companies and internal/external engineers depend on every day. You might be a good fit if you: Experience as a backend or platform engineer Familiarity with using AI tools as part of the software development process Take a product-focused approach to platform work and care about building solutions that are robust, scalable, and easy to use Take full ownership of your work - from design through build, deployment, and operations, to iterating on and improving your product Can navigate ambiguity and make sound technical decisions independently, and have ideally operated in both 0 1 and more mature team or company settings Experience operating production distributed systems, with an understanding of what reliability, observability, and incident response require at scale Excellent communication skills, with the ability to build consensus across teams and time zones Deadline to apply:None. Applications will be reviewed on a rolling basis. Location Preference: Preference will be given to candidates based in NY, SEA, SF or the Bay Area given the current location of team. 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. 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. 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.

SuccessFactors Senior Consultant Rate: up to £690 per day - Umbrella only Clearance Required: BPSS + SC eligible Duration: 2 + months Location: Preston - 3 days a week in the office As a Senior Consultant within Capgemini's leading and award winning SuccessFactors Practice, you will have the responsibility of working across complex, large scale SuccessFactors implementations for a range of high profile clients. You will have experience of leading functional teams on large Global projects and managing business process design and transformation. This role offers the chance to work and collaborate with highly skilled teams across our Global Capgemini Group and play a pivotal role in designing innovative solutions for our clients. Working for Capgemini offers you the opportunity for accelerated career progression, as well as continued professional development through our unique training opportunities. The role This is a unique opportunity to join one of the fastest growing SAP Practices in the UK, working with a number of FTSE 100 companies. You will be leading SuccessFactors Implementation projects within your specialist area, leveraging diverse teams on global projects. Work alongside our award winning Advisory team and other Business Units, you will be a key contributor to Capgemini's pre sales opportunities for some of the most exciting and cutting edge HR Transformations. Responsibilities (Mandatory) Implement innovative, robust, and future proof SAP SuccessFactors solutions with expertise and certifications in one or more SuccessFactors module(s) Lead high performing teams that can work flexibly, incorporating both on and offshore delivery models Guide clients on SAP best practise and innovations, whilst being up to date with the SuccessFactors roadmap and having an awareness of other HR technologies Ensure quality delivery of our Technology solutions Contribute to shaping our response to RFPs and collaborate with other Capgemini teams during the pre sales process, including the delivery of expert demos to prospective clients Build and continually strengthen your network across Capgemini, our Clients and Partners Experience / Skills Experience of application modernisation and public cloud migration Experience of working with legacy technologies and adapting them to fit within an ecosystem based on AWS, Azure, Kubernetes, HELM, Java, JavaScript, Oracle, MySQL would be advantageous. Working with agile development teams and delivery architects through all phases of the solution lifecycle. Take ownership of the solutions and be the face off to our internal and external senior stakeholders. Operate as part of the Capgemini Programme team reporting into the Programme Lead Architect Develop excellent working relationships with our clients to become their trusted advisors through boldness and honesty. Relationship management of the technical relationships with vendors, third parties and the wider Capgemini. Ensure solution delivery is performed according to agreed specification. Own technical problem management and resolution relevant to the solution development Skills You will have strong knowledge of SuccessFactors across multiple modules and experience in working across multiple HR domains on Global projects Excellent communication skills, with the ability to deliver high quality presentations to senior client stakeholders Understands emerging technology trends and disruptions and the practical application of existing, new, and emerging technologies to enable new and evolving business and operating models. Familiar with supporting technologies such as Qualtrics & SAP WorkZone, and how they enhance employee experience Experience in leading pre sales activities and articulating the benefits SuccessFactors brings to clients Enjoy mentoring and developing talent as well as sharing knowledge across the team and the wider SAP Practice

About the company the company's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role the company is seeking an exceptional Commercial Counsel to join our founding Commercial Legal team in EMEA. You'll serve as a strategic legal partner to our sales teams, supporting complex deal negotiations and commercial activities that fuel our expansion with leading EMEA companies and organizations across all market segments, from SMB to large enterprises. In this highly impactful role, you'll guide sophisticated technology transactions across diverse industries and client sizes while providing strategic counsel on the unique legal and regulatory considerations for responsible AI deployment throughout the EMEA region. Key Responsibilities Draft, review, and negotiate commercial agreements, with a primary focus on GTM/Sales transactions in EMEA, including enterprise customer contracts Partner closely with Sales and Go-to-Market teams to support deal velocity and provide practical legal guidance Help build and maintain our commercial legal infrastructure, including contract templates, playbooks, and process improvements Identify and elevate legal risks appropriately while supporting business momentum Stay current on legal developments affecting AI technologies Foster relationships with external stakeholders, including clients of all sizes, regulatory bodies, and industry partners across the EMEA region Minimum Qualifications Law degree and qualification to practice law in a relevant EMEA jurisdiction Preferred Qualifications Exposure to commercial contracts, SaaS agreements, or technology transactions In-house experience at leading technology companies with EMEA operations Experience with AI, machine learning, or other experimental technologies in commercial contexts Experience supporting sales teams across diverse client segments in deal negotiations Experience navigating multi-stakeholder agreements involving technical and policy considerations Curiosity about AI technology and AI policy, and a commitment to responsible AI development A collaborative, low-ego approach and a willingness to roll up your sleeves and pitch in where needed Comfort working in fast-paced environments with shifting priorities 4+ years of legal experience Role-specific policy For this role, we expect all staff to be able to work from our London office at least 3 days a week, though we encourage you to apply even if you might need some flexibility for an interim period of time. The annual compensation range for this role is listed below. For sales roles, the range provided is the role's On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary £125,000-£165,000 GBP Logistics Minimum education Bachelor's degree or an equivalent combination of education, training, and/or experience Required field of study A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. How we're different We believe that the highest-impact AI research will be big science. At the company 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 the company, 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! the company 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

About the company the company'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 Our mission on the Connectivity team is to make Claude the most connected AI. As agents take on more real world work, we're taking a leading role in defining how they get access to external systems - safely, with the right permissions, and in ways enterprises can trust. We ship standards and services used by claude.ai, Claude Code, Cowork, and the API. We own the MCP proxy that routes every tool call and the OAuth and token management that keeps connections authenticated. We're also core contributors to the MCP spec - now an open standard under the Linux Foundation - and maintain the official Python and TypeScript SDKs. We're looking for experienced software engineers to join Connectivity. The team spans San Francisco and London, and you'll work closely with partner teams across the company to deliver impact across all of our products. You'll work on problems where reliability and enterprise trust are critical. This means OAuth at scale, admin controls that let IT govern what agents can do, and proxy infrastructure that is reliable by default. What you'll do You'll design, build, and operate the core connectivity infrastructure behind external tool calls - the MCP proxy and the OAuth and token management systems that keep connections authenticated. You'll own reliability for infrastructure that other teams and external partners depend on, including SLOs, on call, incident response, and postmortems. You'll build the admin controls and permission models that let enterprise IT govern what agents can do, and contribute to the MCP standard and its ecosystem, including the spec and the official Python and TypeScript SDKs. You'll turn ambiguous outcomes into shipped, scoped work, dogfooding what you build in the products that consume it. You'll independently scope complex, multi month projects, drive cross org alignment through ambiguous problem spaces, and make architectural decisions that shape how the company builds and scales its products. You'll partner directly with research to productize cutting edge capabilities, and will have lasting impact on the platform that hundreds of thousands of companies and internal/external engineers depend on every day. You might be a good fit if you: Experience as a backend or platform engineer Familiarity with using AI tools as part of the software development process Take a product focused approach to platform work and care about building solutions that are robust, scalable, and easy to use Take full ownership of your work - from design through build, deployment, and operations, to iterating on and improving your product Can navigate ambiguity and make sound technical decisions independently, and have ideally operated in both 0 1 and more mature team or company settings Experience operating production distributed systems, with an understanding of what reliability, observability, and incident response require at scale Excellent communication skills, with the ability to build consensus across teams and time zones 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 LogisticsMinimum education: Bachelor's degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. How we're different We believe that the highest-impact AI research will be big science. At the company 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 the company, 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! the company 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 aboutour policy for using AI in our application process.

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 Our mission on the Connectivity team is to make Claude the most connected AI. As agents take on more real-world work, we're taking a leading role in defining how they get access to external systems - safely, with the right permissions, and in ways enterprises can trust. We ship standards and services used by claude.ai, Claude Code, Cowork, and the API. We own the MCP proxy that routes every tool call and the OAuth and token management that keeps connections authenticated. We're also core contributors to the MCP spec - now an open standard under the Linux Foundation - and maintain the official Python and TypeScript SDKs. We're looking for experienced software engineers to join Connectivity. The team spans San Francisco and London, and you'll work closely with partner teams across Anthropic to deliver impact across all of our products. You'll work on problems where reliability and enterprise trust are critical. This means OAuth at scale, admin controls that let IT govern what agents can do, and proxy infrastructure that is reliable by default. What you'll do You'll design, build, and operate the core connectivity infrastructure behind external tool calls - the MCP proxy and the OAuth and token management systems that keep connections authenticated. You'll own reliability for infrastructure that other teams and external partners depend on, including SLOs, on-call, incident response, and postmortems. You'll build the admin controls and permission models that let enterprise IT govern what agents can do, and contribute to the MCP standard and its ecosystem, including the spec and the official Python and TypeScript SDKs. You'll turn ambiguous outcomes into shipped, scoped work, dogfooding what you build in the products that consume it. You'll independently scope complex, multi-month projects, drive cross-org alignment through ambiguous problem spaces, and make architectural decisions that shape how Anthropic builds and scales its products. You'll partner directly with research to productize cutting-edge capabilities, and will have lasting impact on the platform that hundreds of thousands of companies and internal/external engineers depend on every day. You might be a good fit if you: Experience as a backend or platform engineer Familiarity with using AI tools as part of the software development process Take a product-focused approach to platform work and care about building solutions that are robust, scalable, and easy to use Take full ownership of your work - from design through build, deployment, and operations, to iterating on and improving your product Can navigate ambiguity and make sound technical decisions independently, and have ideally operated in both 0 1 and more mature team or company settings Experience operating production distributed systems, with an understanding of what reliability, observability, and incident response require at scale Excellent communication skills, with the ability to build consensus across teams and time zones Location Preference: Preference will be given to candidates based in NY, SEA, SF or the Bay Area given the current location of team. 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. 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. 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. 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.