Вакансии

Location: London; Belgrade Workplace: Hybrid About the role Perplexity's fraud prevention team protects our products, users, and infrastructure from fraud and abuse across the whole lifecycle: sign-up, authentication, payments, API usage, and product features. We build and operate a real-time decisioning platform together with the surrounding systems: data pipelines for detection and model training, integrations with product and payment systems, and internal tooling for investigation and response. As a software engineer on the team, you will own services end to end, from design to production operations, and work closely with fraud analysts, ML engineers, and product teams to make abuse expensive and legitimate usage frictionless. Responsibilities - Design, build, and operate high-throughput, low-latency backend services for fraud detection and prevention - Build data pipelines and real-time feature computation that power detections and ML models - Collect and process trust signals - Integrate fraud decisions into product, auth, and payment flows across Perplexity - Own reliability of production services: observability, alerting, safe rollouts, incident response - Build internal tooling for investigation, enforcement, and auditability - Partner with fraud analysts to turn new abuse patterns into production detections quickly Qualifications - 5+ years building and operating high-throughput, latency-sensitive backend systems in production - Strong systems programming skills; Rust, Go, or C++ experience preferred (we write Rust) - Hands-on experience with Kubernetes, Terraform and cloud infrastructure - Solid data fundamentals: stream/batch computations, caching and storage trade-offs - Pragmatic, ownership-driven approach: ship incrementally, measure, and make failures degrade safely Nice to have - Fraud prevention, anti-abuse, or payments-risk domain experience - Experience serving ML models in production - Client-side experience (web or mobile) for signal collection

Location: New York, NY, United States About Us Fanatics is building a leading global digital sports platform. We ignite the passions of global sports fans and maximize the presence and reach for our hundreds of sports partners globally by offering products and services across Fanatics Commerce, Fanatics Collectibles, and Fanatics Betting & Gaming, allowing sports fans to Buy, Collect, and Bet. Through the Fanatics platform, sports fans can buy licensed fan gear, jerseys, lifestyle and streetwear products, headwear, and hardgoods; collect physical and digital trading cards, sports memorabilia, and other digital assets; and bet as the company builds its Sportsbook and iGaming platform. Fanatics has an established database of over 100 million global sports fans; a global partner network with approximately 900 sports properties, including major national and international professional sports leagues, players associations, teams, colleges, college conferences and retail partners, 2,500 athletes and celebrities, and 200 exclusive athletes; and over 2,000 retail locations, including its Lids retail stores. Our more than 22,000 employees are committed to relentlessly enhancing the fan experience and delighting sports fans globally. About the Team Launched in 2021, Fanatics Betting and Gaming is the online and retail sports betting subsidiary of Fanatics, a global digital sports platform. The Fanatics Sportsbook is available to 95% of the addressable online sports bettor market in the U.S. Fanatics Casino is currently available online in Michigan, New Jersey, Pennsylvania and West Virginia. Fanatics Betting and Gaming operates twenty-two retail sports betting locations, including the only sportsbook inside an NFL stadium at Northwest Stadium. Fanatics Betting and Gaming is headquartered in New York with offices in Denver, Leeds and Dublin. The Accounts team sits within the Fanatics Betting and Gaming - Shared Services domain and owns the customer account lifecycle, from registration, login, and identity verification to the geolocation, eligibility, and responsible gaming controls that decide whether a customer is allowed to play. Accuracy and customer trust are the team’s core tenets, because customers trust us with their money, their identity, and their personal data. We are seeking a Senior Software Engineer to build and maintain the scalable, highly available, and compliant Java services behind the account lifecycle. This is a hands-on engineering role for someone who enjoys owning features end to end, solving complex integration problems, and working closely with product, compliance, and operations partners. This is a US-based remote position. Responsibilities Design, build, and maintain Java backend services using Spring Boot or similar frameworks. Deliver features across registration, KYC, login and MFA, device registration, account management, tax reporting, Fanatics ID integration, and watchlist monitoring. Build and maintain services that enforce regulatory and responsible gaming requirements, including geolocation, state and self-exclusion, prohibited persons, loss limits, and eligibility. Build integrations with third-party identity, verification, geolocation, and compliance providers, designing for failure, retries, and data integrity. Write scalable, well-tested services with strong unit and integration test coverage. Contribute to architecture and design discussions for APIs, event-driven systems, and data flows. Troubleshoot complex production issues and take part in the weekly on-call rotation, contributing to runbooks and post-mortems. Partner with Product, Technical Program Management, Compliance, Support, and client engineering to turn business and regulatory requirements into technical solutions, and take part in sprint planning and agile delivery. Mentor junior to mid-level engineering teammates through code reviews, design feedback, and pairing. Follow engineering best practices (CI/CD, testing, observability, feature flagging, documentation) and improve reliability and maintainability by addressing technical debt. Experience and Skills 5+ years of professional software engineering experience with Java. Strong experience building and supporting production Java backend services with Spring Boot or similar frameworks. Experience developing REST APIs and integrating distributed systems and data flows. Experience with event-driven architectures such as Kafka or similar messaging platforms. Experience working in AWS or other cloud environments. Experience with relational and NoSQL data stores such as Postgres and MongoDB. Experience using AI tools or coding assistants to improve engineering productivity. Experience with identity and account systems (registration, authentication, MFA, OAuth2/OIDC), KYC, fraud, or payments is preferred. Experience with compliance-driven systems such as geolocation, responsible gaming, or regulatory data handling is preferred. Experience building highly available, regulated, or enterprise-scale applications is preferred. Experience with observability tooling (for example Datadog) and operating services on call is a plus. Strong troubleshooting, ownership, and communication skills, with the ability to work independently and with cross-functional partners. Depending on the role, your interview and onboarding experience may include in-person components, such as onsite interviews or Launching into Better: LIVE—a multi-day cultural immersion in New York City for full-time, non-seasonal hires. These sessions are designed to build connection and bring our culture to life, though specific travel and participation requirements will be confirmed based on your role and location. Your recruiter will provide clear guidance at each stage of the process. For information about our benefits, please visit https://benefitsatfanatics.com/ #LI-VG1 Ranges will change based on country and state of residence, which are reflected in Geographical Zones defined by Fanatics Betting and Gaming. The range incorporates all of our Geographical Compensation Zones and is subject to change as the Zone associated with the actual offer is confirmed. In addition to the base and bonus, full-time employment, and more. For information about our benefits, please visit https://benefitsatfanatics.com/ Salary Range $144,000 — $180,000 USD By submitting your application, you agree to our terms of service and acknowledge you have read our Candidate Privacy Policy. Fanatics will never ask candidates for money, banking information, or other sensitive personal information as part of the interview process. If you receive a suspicious message claiming to be from Fanatics recruiting, please do not respond and report it here .

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 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 Senior Data Center Preconstruction & Capacity Delivery Manager at Anthropic, you'll make sure our EMEA deals are ready to execute before we commit to them, and you'll take time out of every program before the lease is signed. Delivery dates and costs on AI infrastructure deals are largely fixed at signature. What is missed before then is hard to recover afterwards, and our leverage over the schedule is at its highest while the deal is still open. About 75% of your time goes to preconstruction and pre-lease management, from first desktop review through Letter of Intent (LOI) to lease execution. You'll test whether each opportunity can be delivered, rigorously accelerate its program, and shape the deal so that what a developer commits to can be held to, verified and delivered. The other 25% goes to delivery. You'll carry that work through mobilization, embed with the partners building leased and partnered capacity, and lead them to deliver on the fastest possible schedule while maintaining a safe construction site and protecting the finished quality of the data center. Our EMEA pipeline is getting off the ground, so you'll set the standard for how deals become ready for execution here. This role offers a unique opportunity to shape how Anthropic secures and activates the compute infrastructure needed to train and deploy frontier AI systems, working at the intersection of real estate, construction, and cutting-edge AI infrastructure. Responsibilities - preconstruction and pre-lease management (about 75%): Lead.  This is a role where leadership trumps management and process.  You will be expected to engage developers, contractors, utilities and our transaction teams early enough to shape the outcome of each deal rather than report on it afterwards. Confirm deal readiness and serve as the gatekeeper to validate transaction viability from LOI through lease execution, ensuring all predevelopment, planning, technical and business requirements are met before commitment Give transaction leads an early delivery view from desktop study on capacity, power, permitting, connectivity, schedule and cost, so that the sites moving to LOI are ones that can be delivered Run independent, evidence-based delivery due diligence on each opportunity, tested against source documents rather than relayed claims, covering capacity, power, permitting, connectivity, procurement, schedule, cost, and whether the developer's team, contractors and supply chain can deliver Interrogate every developer schedule from the native file rather than summary dates, testing logic, durations, production rates and critical paths, planning backwards from commissioning, and establishing the unconstrained date before any commercial protection is added Rigorously accelerate programs during the pre-lease phase by making schedule work a priority for the developer while the deal depends on it, pulling forward design, permitting, power, early works and procurement, and sequencing the build around how capacity turns up Assess contractor and supply-chain capacity and long-lead equipment needs for each opportunity, setting a long-lead strategy that secures delivery capacity ahead of need and making the case for early equipment funding where it protects a date Challenge Total Development Cost and delivery schedules against the assumptions behind Yield-on-Cost and IRR, flagging where time-to-power or cost exposure puts the investment case at risk Shape the delivery terms of the LOI, lease and supporting exhibits with transaction and legal teams, including phasing and target dates, landlord scope, diligence cost, ownership and reliance, risk allocation and governance, and check that the developer's contract with its general contractor carries the same milestones and aligns incentives around accelerated delivery Give deal and delivery leadership a clear go/no-go recommendation at each decision point up to signature, with the risks, conditions and mitigations behind it Keep one delivery-readiness record and one risk register across all EMEA opportunities, assigning every risk to an accountable owner, tracking it to resolution, and escalating where cost or schedule is threatened Direct owner's representatives and third-party advisers and assure what they produce, bringing design and engineering, cost, schedule, commercial, contracts and procurement into a single view of risk and readiness Develop and refine the preconstruction playbook, a reference log of unit costs and benchmarks, and the operating model needed to scale the function, using AI tools including Claude for first-pass assessment, document review and benchmarking so your time goes to judgment and negotiation Prepare and present regular executive reporting on readiness and risk for each opportunity and across the portfolio, including time from signature to construction start, risks found before versus after signature, and baseline-to-actual variance, supporting forward capacity planning and strategic decision-making Responsibilities - delivery leadership (about 25%): Document the baseline at signature for design, budget, schedule, long-lead position, open risks and conditions, so delivery starts from an assured position whether you carry the project forward yourself or hand it to a delivery colleague Partner with landlords and developers post-deal to serve as Anthropic's primary point of contact, coordinating across internal stakeholders, tracking construction progress, and facilitating critical information exchange between development partners and Anthropic stakeholders You will be expected to be at one or more project sites in adequate amount to shape the culture, approach, and aggressiveness that define those extended site teams. The goal is to impact outcomes in a favorable manner. You are expected to be a force multiplier that develops and enhances the skillset that development partners, contractors, and key trades bring to the project(s) you are overseeing.  That means being a subject matter expert in the various cross functional elements of data center delivery and increasing the team's performance with that knowledge and commitment to alignment. Represent Anthropic in key technical and operational decisions required by partners during the development process, ensuring our infrastructure requirements are met while maintaining strong partnerships Drive seamless handoffs to operational state with heavy focus on engagement across networking and deployment teams, enabling rapid workload turn-ups and minimizing time-to-production Identify and mitigate risks throughout the delivery lifecycle, proactively addressing blockers that could impact timeline, cost, or technical requirements, and feed what you learn on site back into diligence and the playbook You may be a good fit if you: Have 8+ years of experience in preconstruction, development, or cost and commercial management on data center or other large mission-critical programs within EMEA, including time leading delivery on site.  You won't have a big direct team to delegate to but will instead be able to treat the entire cross functional organizations around each deal and jobsite as your team. Have a track record of testing developer and contractor claims on cost, schedule, power and permitting against source documents, and of telling a deal team when a date does not hold up. Have taken time out of programs before construction started, and can show how.  You read a native schedule fluently and know which levers in design, permitting, power and procurement move a date. Have shaped delivery terms in development, lease or construction agreements, working with legal teams, and have led tendering and bid analysis.  You understand how cost and schedule flow through to the investment case. Have a strong understanding of the end to end (dirt to delivery) data center development process to include entitlements and permitting, planning and supply chain, execution, commissioning, and handover. You are not an administrator but an active player in the arena comfortable making decisions without the need to consult across multiple external parties. You should understand the nuances of data center design and construction across EMEA markets- who the players are, how power and permitting differ, what contractual norms get in the way of speed of delivery, how teams can be incentivized to build and deliver faster than normal. Have built or scaled a team or function, including directing third-party advisers. In this role you will often be on an island and responsible for your own destiny.  You will have free rein to develop your own approaches with the mission guidance being your only bounds.  No one will be there to empower your efforts, you will create your own influence by building relationships and diving in at all phases to deliver success. You must thrive operating with ambiguity and have a willingness to own outcomes, knowing that the buck stops with you. It's a bonus if you: Understand AI/ML infrastructure requirements, including high-density power and advanced cooling systems Have had preconstruction or leadership positions (Preconstruction Manager, General Superintendent, Project Manager) within a GC, EPC or developer on hyperscale data center projects or in self performance of hyperscale data center development projects. Prioritize extreme ownership and have the ability to create winning cultures across diverse teams and job sites. Are deeply familiar with lease negotiations, construction contracts, or real estate development processes and have strategies to move those arrangements from traditionally transaction and risk managed arrangements to collaborative efforts that align incentives around accelerated delivery of facilities. Have secured long-lead equipment or manufacturing capacity ahead of a signed deal, including through frame agreements or early funding arrangements. Have run quantitative schedule risk analysis, or built parametric cost benchmarks across a portfolio of sites. Speak additional European languages. 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: £1 — £1 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.

Your Role Reporting directly to the Senior Director of Product, you will drive product quality management and regulatory compliance for Orbem's cutting-edge systems across the EU, US, and other upcoming markets.

Location: Lukula Kongo-Central About GiveDirectly What if the most effective way to fight poverty was also the simplest: give people money and trust them to decide what they need? Since 2011, GiveDirectly has proven that idea at scale. We’ve delivered more than $1B in cash directly to 2+ million people living in poverty and crisis across 15 countries, and rigorous research shows the results: healthier kids, stronger businesses, sturdier homes, and more resilient families and local economies. Cash is now widely recognized as one of the most scalable, cost-effective, and dignified forms of aid. Our ambition goes beyond our own programs. We want cash to become the benchmark for aid, much as the index fund became the benchmark for investing, so that every aid dollar is held to one question: is this doing more good than giving the money directly to people living in poverty? We’re growing fast, and this is a rare and important moment to join. We expect to hit $1B in revenue in 2026 with significant growth forecast for 2027. At the same time we are building a new technology stack and operating model designed for a roughly 10x change in scale, and we are actively pursuing partnerships with major funders to move even more money in bigger ways, to people who need it. We are known for our extensive integration of technology into field processes; our quantitative approach to performance measurement; and our commitment to rigorous, independent, experimental evaluation of our impact, with multiple Randomized Control Trials completed and others in progress. How we work Our team spans 20+ countries and 69 languages. Our culture is candid, analytical, and non-hierarchical. We expect high ownership and give people real responsibility early. Our values are central to how we hire, work, and grow, and they are deliberately opinionated: Recipients first. Recipients’ preferences come before those of donors or ourselves. Team next. We optimize for organizational success, not individual success. Be proactively candid. We say what we believe and share information openly. Create positive energy. We aim to be a source of energy for colleagues, not a drain. Think rigorously; act quickly. We reason from first principles, then act rather than debate. Know yourself and grow. We own our imperfections and seek feedback to grow. Accept reality. Propose solutions. We focus on what can change and bring solutions, not just problems. Be productively ambitious. We take risks for step-change impact, not incremental progress. If they describe how you like to work and they energize you, this could be a great fit. Want to learn more? Read and listen: We are one of Time100’s Most Influential Companies of 2026, and our work has been covered by The Economist , NPR , TED , and The Washington Post . We're now preparing to deliver billions of dollars a year to people in extreme poverty, if funding allows. Read our CEO's essay on what that will take. À propos de GiveDirectly GiveDirectly envoie de l’argent directement aux personnes en situation d'extrême pauvreté , afin qu’elles décident elles-mêmes de ce dont elles ont le plus besoin , notre culture est franche , analytique, rapide et non hiérarchique. Depuis 2018, GiveDirectly est présente en RDC et transfert de l’argent par téléphone mobile au menages vulnerables , en vue de promouvoir la sécurité alimentaire, la réduction de la pauvreté et l’inclusion financière. Pour en savoir plus sur notre action et nos resultats ,visitez : www.givedirectly.org Responsabilités clés Collecte des données : Remplir des enquêtes (recensement/suivi) de bonne qualité et précises, pour tous les ménages éligibles;  travailler avec d’autres membres du personnel pour s’assurer que la collecte des données auprès des bénéficiaires est mené de manière juste et exacte et en conformité avec les exigences de GD, Sensibilisation : Faire passer les messages clé de la sensibilisation de l’organisation d’une manière compréhensive et précise, Participer aux débriefs avec l’équipe et le Responsable, Représentation externe : Interagir avec la publique, les autorités locales et les représentants de la communauté et la société civile, Point de contact : Recevoir des plaintes ou questions de la communauté et répondre d’une manière fiable et correcte Profil Recherché Diplôme universitaire dans un domaine pertinent Expérience préalable comme agent d’investigation pour détecter les cas de fraude, de vol ou de détournement, de préférence dans une ONG internationale. Capacité de leadership exceptionnelle avec un succès démontré dans la motivation et le développement du personnel junior. Capacité à utiliser une approche positive, constructive et axée sur les solutions chaque fois qu'un conflit survient Capacité à effectuer plusieurs tâches Niveaux élevés d'intégrité et de confidentialité des informations des bénéficiaires. Un (e) apprenant (e) rapide qui a la passion de fournir des solutions. Diligence pour suivre les instructions de manière fiable et méthodique Bonne compréhension du programme de gestion du rendement Excellentes compétences organisationnelles Souci du détail, bonnes compétences numériques Capacité à travailler dans un environnement strict axé sur les délais Maintient une dynamique d'équipe saine grâce à des compétences bien développées en gestion des conflits Reconnaît la performance d'équipe et individuelle Maîtrise de la suite MS Office - MS Word, MS Excel et MS Powerpoint Excellentes capacités de communication La maîtrise du Français, Lingala, Kikongo et la maîtrise de Kintandu et le Kiyombe sont un atout. Valeurs de GiveDirectly Priorité aux bénéficiaires : Nous privilégions les préférences des bénéficiaires, pas celles de nos donateurs ni même les nôtres. L’équipe avant l’individuel : Nous œuvrons pour le succès de l’organisation, pas celui des individus. Être proactivement franc : Nous parlons et communiquons les informations en toute franchise. Créer une énergie positive : Nous nous efforçons d’apporter de l’énergie positive à nos collègues, et pas de la leur prendre. Réfléchir rigoureusement, agir rapidement : Priorité à la rigueur et à l’action, pas au débat interminable. Se connaître et se développer : Nous sommes conscients de nos défauts, mais nous les exploitons. Accepter la réalité, Proposer des solutions : Nous ne nous attardons pas sur les problèmes. Nous créons des solutions. Être ambitieux de manière productive : Nous prenons des risques qui pourraient révolutionner le secteur. Comment postuler Les candidatures se font uniquement en ligne, les intéressés sont priés d’aller sur le https://boards.greenhouse.io/givedirectly chercher les offres de la RDC, et soumettre leurs candidatures au plus tard le 09 Novembre   2026 à 17h00 précises Heure de Kinshasa. Si les pièces ne sont pas demandées sur le portail de candidatures , le dossier contient ( Un CV à jour avec 3 références, une lettre de motivation , la copie du diplôme et le certificat de fin de service du dernier employeur, Les dossiers incomplets ne seront pas examinés) En cas de difficulté technique écrire à drc-recruitment@givedirectly.org Les attestations fournies sont toutes vérifiées ; en cas de fausse information votre candidature sera rejetée. Les attestations de services fournies dans votre dossier pour ce recrutement, seront vérifiées, scrupuleusement, et toute fausse information y relative entraînera un rejet immédiat de votre candidature. Nos engagements GiveDirectly applique une politique de tolérance zéro à l'égard de l'exploitation, des abus et du harcèlement sexuels (SEAH) et attend de toute personne qui travaille avec nous qu'elle place la protection des bénéficiaires en priorité. Le recrutement est entièrement gratuit. GiveDirectly ne demande ni frais, ni pot-de-vin, ni faveur d'aucune sorte, ni information bancaire, à aucune étape du processus. Si l'on vous formule une telle demande, ou si vous estimez subir une pression ou une discrimination injuste, écrivez à whistleblower@givedirectly.org Cette adresse sert uniquement à signaler un problème, jamais à postuler . Working at GiveDirectly GiveDirectly is an Equal Opportunity Employer. All qualified applicants are considered for employment without regard to the person’s race, color, religion, national origin, sex, sexual orientation, age, marital status, veteran status, disability, or any other characteristic protected by applicable law. Flagging for US applicants: We invite you to " Know Your Rights " as an applicant. Commitment to Safeguarding As a global organization working with communities to eliminate extreme poverty, GiveDirectly takes the safeguarding of its recipients, staff, and partners seriously. To that end, GiveDirectly is a member of the Misconduct Disclosure Scheme , and will systematically check with previous employers about any abuse or misconduct related matters involving potential new hires. We may also employ other robust pre-hire screens, including in-depth reference checks, criminal background checks, and sanctions screens. These efforts help us continue to build and maintain trust with the communities we work with, and prevent abuse to our recipients and staff. **GD is committed to observing all local, national and international laws that protect people and basic human rights of all. GD is committed to a policy of “zero tolerance when it comes to preventing,  reporting, or responding to any form of abuse or  exploitation.” and expects anyone who works for GD to uphold the protection and safeguarding of our recipients as a priority.** Reasonable Accommodations We are committed to fostering an inclusive and accessible work environment. If you require any accommodations during the application or interview process, or to perform the essential functions of the role, please email us at careers@givedirectly.org with the email subject “Accommodation Needed”. We will work with you to ensure reasonable accommodations are made to support your needs. Want to put your best foot forward on your GiveDirectly application? Take a look at our Candidate Application Prep Guide !

Location: Canada; Uruguay; Costa Rica; Colombia; Argentina; Paraguay; South Africa; Panama; Mexico; Chile Workplace: Remote BUILDING THE FUTURE OF OPEN FINANCE Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system. THE TEAM Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients. We’re looking for a hands-on Engineering Manager to lead a cross-functional Consumer pod focused on building and scaling core Krak experiences. This leader will guide a team of Frontend (React / React Native) and Backend (Rust) engineers to deliver seamless, performant user experiences across Kraken’s primary consumer surfaces. You’ll work closely with Product, Design, and other Engineering Managers to ensure Krak delivers exceptional UX, technical quality, and operational reliability. This role is an opportunity to shape high-impact, consumer-facing functionality used daily by a global user base. THE OPPORTUNITY - Lead a cross-functional team of frontend and backend engineers responsible for core Krak consumer experiences. - Own the end-to-end UX for key Krak features across mobile and client platforms. - Guide the delivery of high-quality consumer applications, with a focus on usability, performance, and scale. - Partner with Product Managers and Designers to define and deliver high-impact features with measurable business and customer value. - Collaborate with other Engineering Managers and Tech Leads to maintain consistent engineering standards across services and client platforms. - Champion engineering excellence, maintainable architectures, and code quality. - Mentor engineers and foster a culture of technical growth, collaboration, and inclusivity. - Strengthen team organization and delivery using agile processes, project tracking, and engineering metrics (e.g., DORA, cycle time). SKILLS YOU SHOULD HODL - Proven experience leading engineering teams delivering customer-facing products at scale. - Experience managing combined frontend and backend engineering teams. - Deep technical background in React Native with a solid understanding of modern frontend architectures. - Strong cross-functional leadership, able to align frontend and backend efforts in a complex, multi-platform environment. - Excellent communication and stakeholder management skills. - Empathy for the customer and a passion for building intuitive, performant consumer experiences. - Experience building large-scale consumer or financial products. NICE TO HAVES - Background in systems design or distributed architectures. - Working knowledge of Rust (or similar languages such as Go or C++), and familiarity with async architectures, APIs, and microservices. - Experience in the payments and card domains. Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis. Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution. We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. OUR COMMITMENT Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto. We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision. As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws. Stay connected Follow us on X https://twitter.com/krakenfx Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/ Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice

Location: Europe, Remote About Zencoder At Zencoder.ai , we build and orchestrate AI agents that ship real work - code, research, operations, and more. What started as developer tooling is becoming a platform where people and agents collaborate across knowledge work tasks. The Opportunity We’re looking for a hands-on Senior or Staff Security Engineer to lead and own security across the company. Part of the job is the work every company needs and too few do well: hardened cloud infrastructure, least-privilege access, secure delivery, vulnerability management, penetration testing, and incident response. The threats in this space are increasing exponentially. The other part is an evolving domain with no playbook. Our product runs agents that read untrusted content, execute code, and hold credentials. Attackers now use AI to probe and fuzz faster than before. Prompt injection, data exfiltration through allowed channels, cross-session access, and insecure agent-written code reaching production are real risks for us today, not research topics. We want someone who will help us close the obvious gaps without being asked, and finds the problems nobody has written down yet. You'll work closely with our ITOps, platform and product engineers. Teams own their services and platform owns the monorepo pipeline. Your job is to improve our security posture without slowing delivery: build automated controls into existing workflows rather than rely on slow, blocking manual AppSec reviews. You'll test whether those controls hold, address critical risks, and take responsibility for security outcomes, not just recommendations. Key Responsibilities This is a hands-on role - you'll be in the code, infra, and pipelines yourself. Set security priorities and drive fixes through to verified completion; Find application vulnerabilities through code review, penetration testing and agent-specific red-team exercises; Work with ITOps, platform and product engineers to harden infrastructure and build security into delivery pipelines; Build detection for user and agent activity, and lead incident response. Essential Qualifications Strong application security background - you can spot exploitable flaws, and explain the fix; Hands-on penetration testing and offensive security experience across web applications, APIs, and cloud infrastructure; Solid infrastructure and cloud security fundamentals: IAM, network segmentation, containers and isolation, secrets management, logging; Experience building detections and running incident response, not only reviewing them; Real fluency with AI coding agents and LLM-based systems - how they work, where they fail, and how they can be manipulated; Enough software engineering skill to build your own tooling, automation, and test harnesses; Sound judgment under pressure: you can weigh a risk against a release, decide, and explain the decision to engineers and founders. Nice to Have Experience securing sandboxed or multi-tenant code execution environments; Red-team, bug bounty, or CTF track record; Experience with security programs and compliance frameworks (ISO 27001, SOC 2) in a small company. Why Join Zencoder? Impact AI is reshaping how work gets done, and you'll be at the forefront of that shift, building a product that enables teams to get more done with AI. We use our own products every day, so you'll see how your work lands right away. AI-First We use AI to expand what one person can accomplish. You'll constantly rethink how you work: what to hand over to AI, and where your own judgment matters most. Ownership We keep the team small and give people real scope, autonomy, and equity. You'll take initiative, make decisions, and see your work through to real outcomes, raising the bar with every iteration. High Talent Density A small team of highly capable people moves faster and builds better. You'll work directly with senior teammates and our founder, Andrew Filev, in a flat structure where ideas win on merit, not titles. Remote-First We hire globally, prioritizing talent over location, so you can work where you're most productive. Prefer in-person? We have a hub in Barcelona with weekly co-working. Zencoder is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Location: London Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW Reporting directly to our Head of UKI, Harvey's Enterprise Sales Manager for UKI will lead and coach high-performing Account Executives selling into corporate legal departments across UK and Ireland. You will own delivery against ambitious revenue targets while rolling up your sleeves to work directly with prospective Enterprise customers. We are looking for a self-starter who can build pipeline and a team from a small base, navigate ambiguity, operate in a fast-paced environment, and make fast, clean personnel decisions. Ideal candidates will have experience scaling enterprise sales teams in net new logo environments, outstanding communication skills, and an instinct for understanding what legal buyers actually care about. WHAT YOU'LL DO - Recruit, ramp, and lead a team of consultative, solution-based enterprise Account Executives selling into corporate legal departments across UKI. - Own the team's pipeline build as a weekly operating discipline - not a quarterly scramble - including outbound cadences, territory planning, and qualified pipeline coverage targets. - Be accountable for revenue, forecast accuracy, and the rigor of deal qualification across the team. Inspect deals, don't just take them on faith. - Personally engage in top accounts and complex deals as a player-coach, modeling the qualification, multi-threading, and executive engagement you expect from your team. - Work cross-functionally with Product, Legal Engineering, Marketing, and Customer Success to build effective sales processes tailored to the in-house legal buyer. - Build and iterate on the EMEA enterprise in-house playbook, documenting what works so it can be repeated and scaled. - Cultivate a culture of ownership, urgency, and development - attracting top sales talent and making fast, evidence-based personnel decisions when performance is off track. WHAT YOU HAVE - 10+ years of tech sales experience and 5+ years of people management experience. - A track record of building net new logo pipeline and revenue — not just managing an inherited book of expansion business. - Experience training and coaching a high-performance enterprise sales team selling complex, multi-stakeholder deals into corporate legal departments, financial services, or comparable professional services buyers. - Experience operating in an early-stage, high-growth environment where you built the motion - processes, cadences, and team — from a small base. - Strong communication skills with the ability to clearly articulate AI concepts and business value to General Counsels, Chief Legal Officers, and legal operations leaders. - Demonstrated qualification rigor and forecasting discipline - comfortable inspecting deals at the metric, economic buyer, and decision criteria level, and willing to disqualify aggressively. - A bias toward action on people decisions: comfortable having direct performance conversations early and making clean calls when the evidence is there. - Demonstrated passion for Harvey's mission and a strong point of view on how AI changes the work of in-house legal teams. DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-RC1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: Munich, Germany 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. Manager, Enterprise Sales, DACH & CEE As a Sales Manager at Anthropic, you'll lead a team of Enterprise Account Executives driving the adoption of safe, frontier AI by securing strategic deals. You'll leverage your leadership and consultative sales expertise in the Industries sector to propel revenue growth while developing a high-performing team of AEs. Working closely with Applied AI Engineering and Product teams, you'll help Industries customers embed and deploy AI while uncovering its full range of capabilities. In collaboration with GTM and Marketing teams, you'll continuously refine our value proposition, sales methodology, and market positioning to resonate with decision-makers and ensure differentiated value across the Industries landscape. The ideal candidate will have a passion for developing people, identifying market opportunities within Industries, and executing strategies to capture them. By leading the deployment of Anthropic's emerging products, you will help customers to obtain new capabilities while also advancing the ethical development of AI. Responsibilities: Build and lead a high-performing team of Enterprise Account Executives focused on Industries, providing coaching, mentorship, and guidance to drive team success Develop and implement sales strategies tailored to Industries procurement cycles and budgeting processes to meet and exceed team revenue quotas Create and maintain accurate forecasts, pipeline management, and reporting while ensuring data integrity in CRM systems Partner with Enablement to develop training programs and resources that accelerate AE ramp time and effectiveness, with specific focus on Industries buying cycles and decision-making processes Work closely with Applied AI Engineering teams to demonstrate technical capabilities pre-sales and optimize solutions post-sales for all applications Enable your team to have credible technical conversations about AI applications in Industries while maintaining appropriate guardrails Build strong partnerships across the organization to drive strategic initiatives within the Industries sector Identify and execute on new market opportunities and use cases for Anthropic's AI solutions within departments, research centers, and administrative offices Help your team navigate complex stakeholder ecosystems including executives, administrators, IT departments, and procurement offices to build consensus Gather and synthesize customer feedback from users to inform product direction and enhance customer experience for Industries Build and continuously refine the Industries sales methodology by incorporating learnings into playbooks and best practices You may be a good fit if you have: 15+ years of enterprise sales experience in Industries technology, preferably driving adoption of SaaS or emerging technologies 5+ years of sales leadership experience, ideally 3+ leading teams within the Enterprise segment focused on Industries in DACH and CEE Ability to source and attract extraordinary talent with great cultural fit and enable them continuously Experience establishing and scaling sales processes, tools, and methodologies in fast-growing organizations serving Industries Strong technical acumen and ability to understand complex AI solutions and their applications in Industries, with experience enabling teams to have credible technical conversations with their stakeholders Track record of successful partnership with technical teams throughout the customer journey Deep understanding of Industries buying cycles, procurement frameworks, and key pain points Demonstrated ability to navigate complex, multithreaded sales cycles across diverse stakeholder groups and drive cross-functional initiatives Experience managing complex enterprise sales cycles and helping AEs secure strategic deals Strong operational rigor in pipeline management, forecasting, and sales metrics specific to Industries sales cycles Excellent communication skills and ability to build relationships across all levels, from analysts and researchers to senior executives in Industries Passion for AI technology and commitment to its safe and responsible development. 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: €310.000 — €380.000 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: Cardiff, London or Remote (UK) 🚀 We’re on a mission to make money work for everyone. We’re waving goodbye to the complicated and confusing ways of traditional banking. After starting as a prepaid card, our product offering has grown a lot in the last 10 years in the UK. As well as personal and business bank accounts, we offer joint accounts , accounts for 16-17 year olds , a free kids account and credit cards in the UK, with more exciting things to come beyond. Our UK customers can also save , invest and combine their pensions with us. With our hot coral cards and get-paid-early feature, combined with financial education on social media and our award winning customer service, we have a long history of creating magical moments for our customers! We’re not about selling products - we want to solve problems and change lives through Monzo ❤️ 📍London/Cardiff/UK Remote | 💰£76,500 - £95,000 + Benefits ✨| ℹ️ This is a 12 month Fixed-Term contract Our Information Security team ⭐ At Monzo, we’re on a mission to make money work for everyone. Keeping our bank safe and secure is a big part of making that happen. Our Information Security Squad builds security processes that help us move at pace while protecting our customers. We work in partnership with teams across Monzo, including Product and Engineering, to help them create products our customers love. In this role, you’ll lead security projects, help teams understand and manage risk, and support the development of our Security Analysts. 🔑 You’ll play a key role by... Leading projects across our security programme, which has previously included third-party security, governance and vulnerability management. Representing Security in projects across Monzo, including product launches, and helping teams identify and manage security risks. Writing security policies and procedures with teams across Security and the wider bank. Mentoring and developing our Security Analysts. Keeping up with emerging security threats, technology and risks, and helping us prepare for what’s next. Working with our internal audit and risk teams to make sure security controls are implemented and regularly assessed for effectiveness. 🤩 We’d love to hear from you if… You’re excited about making a difference to how we deliver information security at Monzo. You’ve managed projects across a range of security domains and are comfortable leading several pieces of work at once. You’re working towards a recognised security qualification, such as CISSP. You communicate clearly in writing and conversation, and can explain complex topics to different audiences. You work confidently and independently, including when engaging senior stakeholders, and enjoy working in a fast-paced environment. You enjoy using data to measure and improve your work, can interpret technical requirements, regulations and procedures, and are open to new approaches and technologies, including GenAI. Not ticking every box? That’s totally okay! Studies show that women and people of colour might hesitate to apply unless they meet every single requirement. At Monzo, we’re dedicated to creating a diverse and welcoming team. If you’re passionate about this role and keen to learn and grow with us, we encourage you to apply—even if you don’t have everything that's listed just yet. Drop us your application, we’d love to hear from you! 🙌 What’s in it for you 💰 £76,500 - £95,000 ℹ️This is a 12 month Fixed-Term contract 📍 This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London) ⏰ We offer flexible working hours and trust you to work enough hours to do your job well, and at times that suit you and your team. 📚 £1,000 learning budget each year to use on books, training courses and conferences. 🏡 We will set you up to work from home; all employees are given Macbooks and for fully remote workers we will provide extra support for your work-from-home setup. ➕ Plus lots more! Read our full list of benefits . 🌈 The application journey has 3 key steps 20 min call with the recruiter 30 min hiring manager call 2 hours of technical and behavioural interviews This process should take around 4-5 weeks - your schedule is really important to us, so we promise to be as flexible as possible! We have some guidelines on using Artificial Intelligence (AI) to ace an application and interview at Monzo. You can read them here. We’ll only close this role once we have enough applications for the next stage. Please submit your application as soon as possible to make sure you don’t miss out. #LI-REMOTE #LI-OS1 Equal opportunities for everyone Diversity and inclusion are a priority for us and we’re making sure we have lots of support for all of our people to grow at Monzo. At Monzo, we’re embracing diversity by fostering an inclusive environment for all people to do the best work of their lives with us. This is integral to our mission of making money work for everyone. You can read more in our blog , 2026 Diversity and Inclusion Report and 2025 Gender Pay Gap Report. We’re an equal opportunity employer. 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 or disability status. If you have a preferred name, please use it to apply. We don't need full or birth names at application stage 😊

Location: Amsterdam, Netherlands; Belgrade, Serbia; Berlin, Germany; Limassol, Cyprus; London, United Kingdom; Madrid, Spain; Munich, Germany; Paphos, Cyprus; Prague, Czech Republic; Remote, Germany; Warsaw, Poland; Yerevan, Armenia You’ve built data teams from the ground up and know how to turn raw information into better product decisions. You care deeply about how AI is changing software development, and you want to shape the data foundations that make it happen. About JetBrains We create intelligent software development tools for developers and teams. More than 15 million users, over 300,000 organizations, and 88 of the Fortune Global Top 100 companies rely on our products to solve real, complex problems. Our mission is simple: make development teams more productive and AI adoptable at scale. What you’ll do JetBrains Air is an AI-native software development platform that connects developer workflows, collaboration, and control into a single system. Because this is a major strategic focus for us, we need a strong data function to help guide it. As Head of Data Science and Analytics for JetBrains Air, you’ll lead our data science, analytics, and data engineering capabilities for both the product and go-to-market domains. By building a high-performing team, you’ll help us use data to navigate product direction, optimize product and go-to-market decisions, and accelerate growth. You’ll own the data strategy for JetBrains AI, partnering closely with product, engineering, and leadership teams to ensure our data infrastructure scales smoothly alongside our ambitions. Day to day, you will: Build and lead a cohesive team of data scientists, analysts, and data engineers. Help teams adopt a rigorous experimentation culture, improving how we test and measure product changes. Uncover insights across the customer journey to improve acquisition, retention, and monetization. Establish scalable analytics foundations, including clear metric frameworks, data models, and self-service reporting. Partner with engineering teams to design robust, compliant data infrastructure and pipelines. Guide the development of machine learning capabilities that enhance marketing acquisition, product personalization, and operational efficiency. Translate complex data signals into clear, actionable recommendations for leadership. Define the business unit's data strategy to support product and engineering priorities. What you’ll bring A strategic mindset paired with a willingness to dive hands-on into the details when necessary. A strong belief in building experimentation cultures and helping others make data-informed decisions. The ability to navigate ambiguity and build new capabilities in a fast-moving space. Clear, candid communication skills to align both technical and non-technical stakeholders. A deep appreciation for developer products and a distinct point of view on how AI will shape the future of software creation. A commitment to maintaining high standards for privacy, security, and responsible data use. What you’ll need Proven experience leading and scaling a data function within a product-led, B2B SaaS, AI, or developer tools environment. A deep understanding of modern data science and analytics practices, including cohort analysis, A/B testing, segmentation, and machine learning applications to product and marketing problems. A solid grasp of data engineering fundamentals, such as data modeling, and orchestration. A track record of hiring, mentoring, and developing multidisciplinary data teams. Willingness to learn fast and find practical solutions to hard problems. What success looks like You will have transformed JetBrains Air into a truly data-informed, experimentation-driven product offering. By establishing strong data foundations, you’ll empower teams to deeply understand our customers, accurately measure product impact, and confidently make strategic decisions. Rather than just reporting on what has already happened, your work will actively shape what we build next. Why join JetBrains? Strong base salary. We offer competitive pay that reflects your skills and experience. Flexible work location. Enjoy the freedom to work from home or from the office. Remote work. Spend up to 30 days per year working remotely from abroad. Extra time off. More days to relax, recharge, and do the things you love. Medical insurance allowance. Enjoy peace of mind for you and your family Learning and development opportunities. Access to conferences, courses, and language classes. Relocation support. We help make your move as smooth and stress-free as possible. Language classes. Pick up the local language or sharpen your English skills. Fuel your day. Enjoy a hot meal or receive a lunch allowance on workdays. Mental health support. To help you feel your best, we provide easy access to professional mental health services. Sports benefit. Enjoy an on-site gym or sports club stipend. Internal events. Join company-wide celebrations and team gatherings. *Some benefits may vary depending on location. #LI-HYBRID #LI-MR1 We are an equal opportunity employer We know great ideas can come from anyone, anywhere. That’s why we do our best to create an open and inclusive workplace – one that welcomes everyone regardless of their background, identity, religion, age, accessibility needs, or orientation. We process the data provided in your job application in accordance with the Recruitment Privacy Policy.

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 an Applied AI team member at Anthropic Australia, you will be a Pre-Sales architect focused on becoming a trusted technical advisor helping large enterprises across Australia and the Asia-Pacific region understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack. You'll combine your deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex business challenges while maintaining our high standards for safety and reliability. Working closely with our Sales, Product, and Engineering teams, you'll guide customers from initial technical discovery through successful deployment. You'll leverage your expertise to help customers understand Claude's capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems. Responsibilities: Partner with account executives to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation Serve as the primary technical advisor to enterprise customers throughout their Claude adoption journey, from discovery to initial evaluation through deployment. You will need to coordinate internally across multiple teams & stakeholders to drive customer success Support customers building with both the Claude API and Claude for Work Create and deliver compelling technical content tailored to different audiences. You will need to be able to spread the gamut from technical deep dives for engineering & development teams up to business value focused conversations with executives Guide technical architecture decisions and help customers integrate Claude effectively into their existing technology stack Help customers develop evaluation frameworks to measure Claude's performance for their specific use cases Identify common integration patterns and contribute insights back to our Product and Engineering teams Travel occasionally within Australia and the APAC region to customer sites for workshops, technical deep dives, and relationship building Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns Collaborate across time zones with global teams while serving as the technical expert for the Australia market You may be a good fit if you have: 10+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager Experience working with enterprise customers in Australia or the APAC region, navigating complex buying cycles involving multiple stakeholders Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more Strong technical communication skills with the ability to translate customer requirements between technical and business stakeholders Experience designing scalable cloud architectures and integrating with enterprise systems Comfortable with Python Familiarity with common LLM frameworks and tools or a background in machine learning or data science Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities A love of teaching, mentoring, and helping others succeed Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders. You enjoy engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems Ability to work effectively across cultures and time zones as part of a global team 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: Munich, Germany 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 Technical Deployment Lead on the Forward Deployed Engineering team, you will lead the delivery of custom agentic AI solutions for enterprise customers. You'll own high-value engagements where we collaborate directly with customers to build and deploy agents into their most critical business processes Each engagement runs from SOW through production deployment. Forward Deployed Engineers build the technical solution; you drive the delivery plan, product scoping, stakeholder relationships, and the organizational complexity of deploying agents into complex enterprise environments. You need to be credible in architecture conversations with engineering leads and equally comfortable running executive briefings with C-suite sponsors. You won't write production code, but you'll pressure-test technical decisions and make real-time trade-offs on scope and priority when things go sideways on an engagement. This is also a builder's role. We're in the early innings of an emerging motion - the playbooks, the delivery patterns, the repeatable IP that makes the next engagement faster and better don't exist yet. The TDLs who thrive here are the ones who get that codifying what works is as important as the engagement in front of them right now. Responsibilities Own the technical delivery plan for each engagement. Work from the signed SOW to a sequenced roadmap with clear milestones, dependencies, success criteria, and value hypotheses that FDEs execute against. Lead delivery discovery. Map customer workflows and constraints in depth, pressure-test the scoped MVP against what you find, and shape the solution architecture with the FDEs. Run day-to-day engineering execution. Drive delivery across Anthropic and customer teams. Keep progress unblocked and sequenced. Make real-time trade-offs on scope and priority to protect the critical path. Own product scoping during delivery. Author requirements, prioritize the engineering backlog, manage scope against success criteria, and hold the bar for what good looks like for the people and enterprises who will use the product. Own the customer relationship throughout delivery. Lead executive briefings, manage stakeholder communications across technical leads and procurement, and represent Anthropic's technical credibility with senior business and engineering leaders. Own value measurement and ROI. Define impact hypotheses, set baselines and KPIs, run pre- and post-deployment measurement, and report outcomes to executive sponsors. Contribute reusable delivery patterns. Capture what works on your engagements and feed field signal to the Programs Leads, Product, and Research. Navigate enterprise and regulatory complexity. Security reviews, legal approvals, procurement processes, compliance requirements, and organizational dynamics. Manage scope and change. Handle evolving requirements, set expectations, negotiate contract modifications, identify risks early, and escalate with clear context when needed. Run engagement-level delivery operations: sprint ceremonies, milestone reviews, and engagement reporting that feed the team's post-sales cadence and dashboards. Travel to customer sites. Build relationships, unblock delivery, and accelerate adoption. (up to 25–50% travel expected). You May Be a Good Fit If You Have led AI/ML engagements/deployments, whether as a founder, data scientist, engineer, researcher, or in a professional services or consulting role. Operate like the CEO of your engagement. You take initiative without a mandate, make decisions with incomplete information, and lead rather than wait for instructions. Have delivered AI, ML, or LLM-based agentic solutions into production. You understand solution patterns, integration approaches, and what breaks in real environments. Have experience in a specialized vertical (life sciences, pharmaceutical, retail, mining, agriculture, etc.). Can navigate architecture discussions with engineering stakeholders, evaluate technical trade-offs, and pressure-test technical decisions. You won't write production code, but you will own the technical direction of engagements alongside FDEs. Have a track record delivering complex, high-stakes technical projects for enterprise clients where outcomes depended on tight coordination and fast decision-making - ideally across multiple workstreams in regulated industries. Have executive presence - polished, credible, and comfortable representing Anthropic to senior leaders in high-stakes environments. Thrive in ambiguity and bring structure where none exists. Have a builder's mindset - you're here to create a function, not just join one. 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: India Who We Are: Galaxy Digital Inc. (Nasdaq: GLXY) is a global leader in digital assets and data center infrastructure, growing the economy that runs on code. Galaxy delivers the onchain infrastructure that connects institutions to digital assets, including trading, advisory, asset management, staking, self-custody, and tokenization. Galaxy also develops and operates data center infrastructure to power AI and HPC workloads. Anchored by its Helios campus in Texas, Galaxy is building a multi-gigawatt pipeline of more than 5.7 GW of potential capacity, positioning it among the largest and fastest-growing data center developers in North America. The Company is headquartered in New York City, with offices across North America, Europe, the Middle East, and Asia. Additional information about Galaxy's businesses and products is available on www.galaxy.com . What We Value: We are a diverse team of free thinkers, and fast movers united to help investors and creators energize the global economy. We are looking for individuals who thrive in a culture of builders and overachievers and embrace high performance, transparent feedback, and a mission-first approach. Our culture shapes our way of working and gets us where we want to be. Seek Excellence. Be Selective To Be Effective. Be Highly Aligned, Loosely Coupled. Disagree Transparently. Encourage Independent Decision-Making. Build Dream Teams. About the Role We're hiring Senior and Staff SDETs to embed across our product teams and raise the bar for quality engineering at Galaxy. You'll work on systems that move real value — crypto and fiat  across institutional-grade platforms. The problems are complex, the stakes are high, and the teams are small enough that your work will have outsized impact. This isn't a "write tests and throw them over the wall" role. You'll shape how your team thinks about quality — designing automation strategies, influencing architecture for testability, and driving reliability across the stack. Depending on your strengths and interests, you'll be placed on one of our product teams: Lending, Trading, Operations, Custody, Settlement, Staking, Derivatives, or Retail (mobile apps on Android and iOS). We're looking for excellent engineers first — we'll find the right seat together. What You'll Do Design, build, and maintain test automation frameworks and suites for APIs, backend services, web and mobile UI (Android/iOS), and blockchain-integrated components. Define and drive the quality strategy for your product team — test planning, coverage analysis, risk assessment, and release readiness. Partner closely with developers, DevOps, and product managers to shift quality left and influence system design for testability. Analyze test results, production incidents, and system behavior to identify patterns and drive systemic improvements. Build and maintain CI/CD-integrated test pipelines that give teams fast, reliable feedback. Leverage AI-assisted development tools to accelerate test creation, code analysis, and automation workflows. Contribute to performance testing, security validation, and observability practices. Mentor other engineers on testing practices, code quality, and automation design. Additionally at Staff level: Set technical direction for quality engineering across multiple teams or domains. Drive cross-team alignment on testing standards, frameworks, and tooling. Identify high-impact quality problems before they're obvious and build consensus around solutions. Act as a trusted technical advisor to engineering leadership. What You Bring Required 8+ years of experience in quality engineering or software development in test, with meaningful ownership of automation strategy and execution. Strong programming skills in Python (primary) or similar (JavaScript, Java, Go). Proven experience designing and maintaining automation frameworks (e.g., Pytest, Robot Framework, Selenium, Playwright, Postman/Newman). Deep understanding of API testing, microservices architectures, and distributed systems. Experience with Git, GitHub workflows, CI/CD tools (GitHub Actions, Jenkins, CircleCI), and issue tracking (JIRA). Strong debugging and analytical skills — comfortable with logs, metrics, and traces (Datadog, Grafana, Prometheus). Experience working in Agile environments with close collaboration across engineering and product. Clear, proactive communication — you surface risks, share context, and keep people aligned. Experience using AI-assisted development tools (e.g., LLM-based coding assistants) to accelerate engineering work, with an eagerness to push those practices further. Preferred Experience in financial services, fintech, or digital assets / crypto. Familiarity with blockchain APIs, wallets, smart contracts, or on-chain data. Experience with Web3 testing tools (Hardhat, Brownie, Foundry). Familiarity with Docker, Kubernetes, and cloud platforms (AWS, GCP, or Azure). Knowledge of contract testing (Pact), test data management, or service virtualization. Performance or security testing experience (Locust, k6, OWASP). Track record of mentoring engineers and raising team capabilities. Experience building, testing, or working with AI agents and agentic workflows. Why Galaxy Work across institutional crypto infrastructure — trading, lending, custody, staking, derivatives, and more. An AI-forward engineering culture — we invest in tools and practices that multiply what engineers can do. Small teams, real ownership, and direct impact on systems that matter. A culture that values engineering excellence, trust, and accountability. Competitive compensation, equity, and comprehensive benefits. Mumbai office with flexibility for remote work within India. What We Offer : Competitive base salary and discretionary bonus Company-paid health and protective benefits for employees and their eligible dependents Free virtual coaching and counseling sessions Opportunities to learn about the Crypto industry Smart, entrepreneurial, and fun colleagues Employee Resource Groups *Benefits may vary depending on location. Apply now and join us on our mission to engineer a new economic paradigm. Galaxy respects diversity and seeks to provide equal employment opportunities to all employees and job applicants for employment without regard to actual or perceived age, race, color, creed, religion, sex or gender (including pregnancy, childbirth, lactation and related medical conditions), gender identity or gender expression (including transgender status), sexual orientation, marital or partnership or caregiver status, ancestry, national origin, citizenship status, disability, military or veteran status, protected medical condition as defined by applicable state or local law, genetic information or predisposing genetic characteristic, or other characteristic protected by applicable federal, state, or local laws and ordinances. We will endeavor to make a reasonable accommodation to the known limitations of a qualified applicant with a disability unless the accommodation would impose an undue hardship on the operation of our business. If you believe you require such assistance to complete the application process or to participate in an interview, please contact careers@galaxy.com.

Location: Paris, France 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. À propos du poste En tant que responsable du déploiement technique au sein de l'équipe Claude Agentic Solutions, vous aurez pour mission de fournir des solutions d'agents d'IA personnalisées aux entreprises clientes dans des secteurs hautement réglementés. Vous serez responsable d'engagements à forte valeur ajoutée dans le cadre de collaborations directes avec les clients en vue de créer et déployer des agents dans leurs processus métier les plus critiques. Vous ferez partie de l'équipe fondatrice : à ce titre, vous nous aiderez à élaborer des manuels techniques et à définir les processus et les modèles répétables nécessaires pour faire évoluer cette dynamique émergente. Vous assurerez le support de notre mission sur le terrain, assurerez une prestation de classe mondiale et ferez régulièrement part de vos observations à nos équipes en charge des produits et de la recherche. Vous serez responsable des engagements de bout en bout, du cahier des charges au lancement de la production. Vous travaillerez en collaboration avec les ingénieurs déployés sur le terrain qui conçoivent la solution technique, tout en prenant en charge la portée des produits, la gestion des parties prenantes, la mesure de la valeur et la complexité organisationnelle liée au déploiement d'agents IA dans des environnements d'entreprise. Vous devez posséder des compétences techniques suffisantes pour mener des discussions sur l'architecture avec les parties prenantes du secteur de l'ingénierie et suffisamment d'aisance pour présenter des exposés aux dirigeants dans le cadre de leurs missions. Responsabilités Gérer le planning technique de livraison pour chaque engagement. Structurer les cahiers des charges en précisant clairement le champ d'application, les étapes, les dépendances, les critères de réussite et les hypothèses de valeur. Traduire les objectifs commerciaux du client en feuille de route séquencée que les FDE exécutent. Superviser la découverte technique : cartographier les flux de travail clients, identifier les contraintes, définir le périmètre MVP et façonner l'architecture de la solution pour les déploiements d'agents personnalisés. Diriger l'exécution et la livraison des travaux d'ingénierie au quotidien au sein des équipes d'Anthropic et des clients. Assurer l'avancée des projets de manière fluide et séquencée. Effectuer des compromis en temps réel sur la portée et la priorité afin de préserver le chemin critique. Garantir la portée des produits pour les missions sur le terrain : d éfinir le MVP, rédiger la documentation des exigences, prioriser le backlog d’ingénierie et gérer le périmètre par rapport aux critères de succès à mesure que les exigences évoluent. Prenez en charge la relation client tout au long de la livraison. Organiser des briefings exécutifs, gérer les communications avec les parties prenantes concernant les responsables techniques et l'approvisionnement et représenter Anthropic auprès des hauts responsables commerciaux et techniques en termes de crédibilité technique. Maîtriser la mesure de la valeur et du ROI : définir les hypothèses d'impact, établir les bases de référence et les indicateurs clés de performance, effectuer des mesures avant et après le déploiement et communiquer les résultats aux commanditaires exécutifs. Codifier des modèles de solutions réutilisables, des cadres d'évaluation et des manuels techniques. Consigner les bonnes pratiques des différentes interactions et transmettre les signaux du terrain aux équipes Produit et Recherche afin d'améliorer notre plateforme et nos modèles. Naviguer dans la complexité des entreprises et des réglementations : audits de sécurité, approbations juridiques, processus d'approvisionnement, exigences de conformité et dynamique organisationnelle. Gérer la portée et le changement : gérer l'évolutivité des exigences, définir les attentes, négocier les modifications de contrats, identifier les risques en amont et les signaler avec un contexte clair, le cas échéant. Gérer les opérations de livraison : cérémonies de sprint, revue des étapes et rapports d'avancement. Se rendre sur les sites des clients pour nouer des relations, débloquer les livraisons et accélérer l'adoption (objectif de 25 à 50 %). Profil recherché Pus de 5 ans d'expérience en leadership technique auprès des clients. Cela peut concerner la gestion de l'engagement technique, la gestion de programmes techniques ou la gestion de produits techniques, les fondateurs/startups, les profils techniques connexes, les services professionnels, le conseil ou les logiciels d'entreprise. Avoir mis en production des solutions agentiques basées sur l'IA, le ML ou le LLM. Vous comprenez les modèles applicables aux solutions, les approches d'intégration et les réalités du terrain. Vous êtes capable de mener des discussions sur l'architecture avec les parties prenantes de l'ingénierie, d'évaluer les compromis techniques et de tester les décisions techniques sous pression. Vous n'écrirez pas de code de production, mais serez responsable de la direction technique des engagements aux côtés des ingénieurs déployés sur le terrain (FDE). Vous avez une expérience de la réalisation de projets techniques complexes et à fort enjeu pour des entreprises clientes, dont les résultats dépendent d'une coordination étroite et d'une prise de décision rapide, idéalement dans le cadre d'activités multiples au sein de secteurs réglementés. Vous avez une personnalité affirmée : vous êtes à l’aise, crédible et capable de représenter Anthropic auprès des hauts dirigeants dans des environnements à forts enjeux. Vous surmontez les contextes ambigus et apportez une structure là où il n'y en a pas. Vous avez une mentalité de bâtisseur : vous êtes ici pour créer une fonction, pas pour l'occuper. Atouts supplémentaires Expérience dans le domaine des services financiers, des soins de santé, des sciences de la vie ou de l'industrie pharmaceutique. Expérience dans une société d'ingénierie déployée sur le terrain ou dans des sociétés de services professionnels et de conseil. Compréhension exceptionnelle des capacités et des limites des LLM. Expérience avec les industries réglementées et les exigences de conformité. Expérience de la gestion d'équipes de livraison avec des ingénieurs intégrés sur les sites des clients. Familiarité avec les frameworks d'agents IA, les modèles d'utilisation d'outils et les architectures d'orchestration. About the Role As a Technical Deployment Lead on the Claude Agentic Solutions team, you will lead the delivery of custom AI agent solutions for enterprise customers in highly regulated industries. You'll own high-value engagements where we collaborate directly with customers to build and deploy agents into their most critical business processes. This is a founding team: you will help us to build technical playbooks and define the processes and repeatable patterns needed for us to scale this emerging motion. You will champion our mission in the field, ensure world class delivery, and bring insights back to our product and research teams on a regular basis. You'll own engagements end-to-end, from SOW through production deployment. You'll work alongside Forward Deployed Engineers who build the technical solution, while you own product scoping, stakeholder management, value measurement, and the organizational complexity that comes with deploying AI agents in enterprise environments. You need to be technical enough to hold architecture conversations with engineering stakeholders and polished enough to run executive briefings with C-suite sponsors. Responsibilities Own the technical delivery plan for each engagement. Structure SOWs with clear scope, milestones, dependencies, success criteria, and value hypotheses. Translate customer business objectives into a sequenced roadmap that FDEs execute against. Lead technical discovery: map customer workflows, identify constraints, define MVP scope, and shape the solution architecture for custom agent deployments. Run day-to-day engineering execution and delivery across Anthropic and customer teams. Keep progress unblocked and sequenced. Make real-time trade-offs on scope and priority to protect the critical path. Own product scoping for field engagements: d efine the MVP, author requirements documentation, prioritize the engineering backlog, and manage scope against success criteria as requirements evolve. Own the customer relationship throughout delivery. Lead executive briefings, manage stakeholder communications across technical leads and procurement, and represent Anthropic's technical credibility with senior business and engineering leaders. Own value measurement and ROI: define impact hypotheses, set baselines and KPIs, run pre- and post-deployment measurement, and report outcomes to executive sponsors. Codify reusable solution patterns, evaluation frameworks, and technical playbooks. Extract what works across engagements and feed field signals back to Product and Research to improve our platform and models. Navigate enterprise and regulatory complexity: security reviews, legal approvals, procurement processes, compliance requirements, and organizational dynamics. Manage scope and change: handle evolving requirements, set expectations, negotiate contract modifications, identify risks early, and escalate with clear context when needed. Run delivery operations: sprint ceremonies, milestone reviews, and progress reporting. Travel to customer sites to build relationships, unblock delivery, and accelerate adoption (25–50% expected). You May Be a Good Fit If You Have 5+ years of customer-facing technical delivery leadership — this could be technical engagement management, technical program management, or technical product management, founders/startups, technical-adjacent backgrounds, professional services, consulting, or enterprise software. Have delivered AI, ML, or LLM-based agentic solutions into production. You understand solution patterns, integration approaches, and what breaks in real environments. Can lead architecture discussions with engineering stakeholders, evaluate technical trade-offs, and pressure-test technical decisions. You won't write production code, but you will own the technical direction of engagements alongside FDEs. Have a track record delivering complex, high-stakes technical projects for enterprise clients where outcomes depended on tight coordination and fast decision-making, ideally across multiple workstreams in regulated industries. Have executive presence — polished, credible, and comfortable representing Anthropic to senior leaders in high-stakes environments. Thrive in ambiguity and bring structure where none exists. Have a builder's mindset — you're here to create a function, not join one. Strong Candidates May Also Have Experience in financial services, healthcare/life sciences, or pharmaceutical verticals. Background at a Forward Deployed Engineering company or professional services and consulting firms. Exceptional understanding of LLM capabilities and limitations. Experience with regulated industries and compliance requirements. Experience managing delivery teams with embedded engineers at customer sites. Familiarity with AI agent frameworks, tool use patterns, and orchestration architectures. 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: Bengaluru, India Job Title: Associate/Senior Associate – Regulatory Affairs Employment Type: Permanent, Full-time Location: BTM Layout, Bengaluru, India Work Type: Office-based Experience: 3–5 years About ClinChoice ClinChoice is a partner to the largest pharmaceutical, medical device, and consumer care innovators in the world. Established in 1995, we provide expertise in clinical operations, biometrics, regulatory affairs, pharmacovigilance, medical affairs, and toxicology to help our partners advance healthcare by accelerating clinical trials with data-driven insights, delivering the best strategies for product registration, and enhancing patient safety through real-world and clinical analyses. Our global delivery network has expanded to centers and satellite offices in the United States, Mexico, the United Kingdom, Armenia, China, Japan, India, and the Philippines to help our customers maintain regulatory compliance locally and globally. We have forged future-defining partnerships with industry bodies and technology companies to develop cutting-edge solutions that deliver our expertise with quality and precision. Key Responsibilities • Review and manage all regulatory events (changes) initiated within the Veeva Vault RIM system. • Perform system impact assessments for regulatory changes and ensure accurate documentation of outcomes. • Create and maintain regulatory Activities, Regulatory Objectives, Submissions, Global Content Plans, and associated records. • Ensure proper linkage and completeness of Event Details, Change Items, and Label Concepts within the system. • Support CMC Product Strategists, Labelling Leads, and Country Regulatory Strategists through both strategic and operational regulatory support. • Assist in the lifecycle management of regulatory submissions and registrations across multiple regions. • Track submission timelines and regulatory milestones, and ensure adherence to global submission schedules. • Monitor regulatory workflows, submission tracking, and health authority interactions. • Manage and maintain regulatory data within the Veeva Vault RIM. • Perform data entry, validation, reconciliation, and quality control checks to ensure high data accuracy and completeness. • Collaborate with cross-functional stakeholders to gather and define data requirements aligned with business processes and regulatory needs. • Analyse regulatory datasets to identify trends, inconsistencies, and operational gaps. Skills & Qualifications • Bachelor’s or master’s degree in B. Pharm, M. Pharm, Pharm.D, B.Sc (Life Sciences), M.Sc (Life Sciences), Biotechnology, Biochemistry, or other Life Sciences disciplines. • 3–5 years of relevant experience in RIM, preferably with hands-on exposure to Veeva Vault RIM. • Strong understanding of regulatory systems, data structures, and end-to-end regulatory change management processes across global domains. • Experience with data visualization tools such as Tableau or Power BI. • Strong analytical and problem-solving skills with high attention to detail and accuracy. • Excellent communication and stakeholder management skills. • Ability to work independently as well as collaboratively in a fast-paced, global environment.

Location: Munich Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW We are seeking an Strategic Account Executive to lead commercial growth across the DACH region. This role is responsible for identifying opportunities, managing complex sales cycles, and building long-term relationships within the legal and professional services sector. This position will play a key role in expanding Harvey’s presence in the DACH region, working cross-functionally to deliver tailored solutions to clients. WHAT YOU’LL DO - Deliver against sales targets with a focus on sustainable growth and performance excellence. - Own and grow a portfolio of named accounts across DACH, driving full-funnel sales activity from prospecting through to commercial negotiation and onboarding. - Understand client pain points, organisational structure, and buying processes; tailor solutions that align with strategic outcomes. - Lead high-impact product demos and client meetings that clearly articulate Harvey’s business value and technical capabilities. - Collaborate cross-functionally with product, legal, engineering, and GTM to inform roadmap and surface client needs. - Develop deep, long-term relationships with legal, innovation, and executive stakeholders across the region. - Document learnings, iterate on messaging, and help build scalable processes to accelerate regional growth. WHAT YOU HAVE - Minimum 5 years of experience in enterprise B2B SaaS sales, preferably with exposure to AI, legaltech, or vertical software - Track record of success managing complex sales cycles with multiple stakeholders - Strong communication skills, with the ability to explain technical products to non-technical audiences - Interest in the legal industry and a commitment to enhancing knowledge work through technology - Familiarity with enterprise sales practices in the DACH region - Self-motivated and results-oriented, with a collaborative approach to working cross-functionally ADDITIONAL INFORMATION FOR POSTINGS - Location: Munich - Work eligibility: Must have valid German work rights; Harvey does not currently offer visa sponsorship for this role WHAT WE OFFER - Be part of building something special as a founding member of our DACH team - Opportunities to work on cross-functional go-to-market initiatives, with a focus on scaling sales strategy and driving revenue growth DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922]. #LI-RC1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: San Francisco, CA | Seattle, WA | New York City, NY | Washington, DC About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. Join Anthropic's Customer Success team in a high-visibility & high-impact role driving AI adoption across a small number of strategic accounts in our Enterprise Tech segment. As our dedicated Outcomes AI Manager for Strategic Tech Customers  you’ll be their partner and trusted advisor helping them harness the full potential of all our Claude capabilities - API, Claude Code, Cowork, and other surface areas. You'll work with a book of global technology leaders to actively deploy AI and reshape the technology landscape. You’ll be working with key partners who are moving fast and pushing the boundaries of what's possible with LLM technology. Your role will entail developing genuine partnerships with the customer and key stakeholders, gaining a deep understanding of their multi-pronged 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 grows and evolves. Your role focuses on helping customers scale their usage effectively, drive model and use case optimizations, implement change management strategies, 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. Responsibilities: Build trusting, strategic relationships with key customer decision makers in complex, matrixed organizations; understand their business and objectives and identify opportunities for optimization and expansion Own customer operations across the lifecycle of each account, maintaining a structured operational assessment (customer readiness, operational health, strategic alignment, enablement strategy, adoption intelligence) that grounds comprehensive account and success plans and Executive Business Reviews Become an expert in Anthropic's products across API, Claude Code and Cowork, understanding the technical nuances and best practices for each to guide customers to the right solutions Leverage your deep knowledge of each customer, and the patterns you see across your other Tech accounts, to proactively drive consumption planning and the value story behind it, developing credible ROI hypotheses and quantifying outcomes that build the case for continued and expanded investment. Monitor usage patterns and identify optimization opportunities across Claude surface areas (API, Claude Code, Cowork) 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 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 Ruthlessly prioritize across the account's many business units and workstreams, building programmatic, repeatable motions You may be a good fit if you have: 6+ years of experience in Customer Success, Technical Account Management, Solutions Engineering, or Strategy Consulting Native English and Spanish Experience working with F500 technology companies, SaaS platforms, or digital-first businesses at the exec level—ideally including high-growth and established tech companies. You understand what it means to lead organization-wide change or adoption programs (multiple functions, hundreds of users) for a product that requires C-suite sponsorship Technical fluency with ability to understand and articulate AI/ML concepts, API integrations, and software implementation patterns across a set of diverse stakeholders—from developers and product managers to executives and end users Proven track record managing a portfolio of accounts while maintaining strong relationships and driving measurable outcomes — you can run multiple enterprise motions in parallel without letting any account go quiet. Cross-functional collaborator who represents the customer in a positive, proactive manner, rallying everyone around paths forward that solve customer needs Passion for AI and interest in responsible development of advanced systems. You have built with Claude Code, automating your own workflows with agents, skills, and tooling. A knack for bringing order to chaos and an enthusiastic "roll up your sleeves" mentality 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: $200,000 — $265,000 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.