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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 an Applied AI team member at Anthropic, you will be a pre-sales architect focused on becoming a trusted technical advisor helping large enterprises 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 to customer sites for workshops, technical deep dives, and relationship building Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns You may be a good fit if you have: 5+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager Native or C1 German speaker with fluent English proficiency Experience working with enterprise customers, 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 Deadline to apply: None. Applications will be reviewed on a rolling basis. Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Remote - United States About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The Role: Acts as the senior Rewards Business Partner and connective layer between Nebius' global Rewards operating model and its global go-to-market organization. Owns delivery of company-wide rewards programs into GTM, ensuring effective execution, adoption, and alignment with global principles, governance, and controls. Brings deep understanding of GTM priorities, talent needs, and external market trends to proactively recommend evidence-based improvements or adaptations. Any changes are developed with global prog ram owners and agreed through established governance, preserving one coherent Nebius operating model. Key Responsibilities: Owns end-to-end delivery of Nebius' global rewards programs for GTM, translating enterprise frameworks into clear plans, decisions, communications, and manager actions that work effectively for the organization. Serves as a trusted advisor to senior GTM leaders, HR Business Partners, and Talent Acquisition, balancing strong advocacy for GTM needs with stewardship of company-wide consistency, fairness, affordability, and governance. Leads evaluation of new and evolving GTM roles within Nebius' global job architecture, recommending grade, salary range, incentive opportunity, and equity treatment and escalating genuine framework gaps to the relevant global owners. Leads GTM delivery across merit, bonus, and equity cycles, coordinating global timelines and requirements, guiding leadership calibrations, resolving complex issues, and ensuring accurate, equitable, and on-budget outcomes. Partners with global Rewards program owners, Sales Operations, Finance, HR, and business leaders to deliver sales incentive and variable pay programs; recommends changes through governance when GTM strategy, market practice, or operational evidence shows a clear need. Monitors external market trends and internal GTM workforce data across geographies, roles, pay mix, and incentive practices; identifies emerging gaps and converts the evidence into practical recommendations for global program owners. Applies Nebius' global equity frameworks across GTM, ensuring consistent treatment while surfacing evidence-based proposals for geographic, performance, or critical-talent differentiation through the appropriate governance channels. Develops executive insights on pay positioning, incentive outcomes, equity value, budget impact, hiring trends, and retention risk, connecting GTM-specific signals to enterprise priorities and clear decisions. Tracks delivery, adoption, and effectiveness of rewards programs in GTM, identifies structural pay, incentive, compression, or equity risks, and leads corrective action with global program owners and business stakeholders. Acts as the two-way bridge between GTM and global Rewards: brings business insight into enterprise design, influences priorities and practical adaptations, and translates, supports, and explains global approaches within GTM. Leads manager enablement and guides less experienced rewards professionals. Requirements: Extensive progressive experience in compensation or total rewards, including substantial business-partnering experience with Sales or other go-to-market functions in a complex multinational organization. Advanced, wide-ranging knowledge of base salary, sales and short-term incentives, equity programs, market pricing, job evaluation, and annual compensation planning, with depth in GTM reward models. Advanced analytical and financial modeling skills, with the ability to evaluate ambiguous variables, assess business and cost implications, and turn complex data into clear executive recommendations. Demonstrated success influencing and constructively challenging senior stakeholders while balancing business advocacy with enterprise stewardship, global consistency, and sound governance. Executive-level communication, consulting, and facilitation skills, with the ability to align diverse stakeholders and explain sophisticated rewards concepts with clarity and commercial relevance. Experience owning delivery of cross-functional rewards programs in a matrixed global model and using compensation, market, sales incentive, and business intelligence tools to drive scalable outcomes. Experience in a publicly listed, global, fast-growing technology or AI organization preferred; experience guiding other rewards professionals and a Certified Compensation Professional (CCP) designation are advantageous. #LI-CH1 Pay Transparency We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law. Base Compensation Range $140,000 — $180,000 USD Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Georgia; Kazakhstan Workplace: Remote Salmon is a technology-driven financial company building a banking and lending platform across Southeast Asia, starting in the Philippines. 7M+ app downloads. 2M+ monthly active users. 7,000+ partner stores. US$310M+ raised from top-tier investors. Here, you get real ownership from day one, high standards, and direct communication. You'll work alongside a team that combines deep local knowledge and experience scaling regulated financial companies from scratch. If you want to solve complex problems at scale and directly impact how millions of people access and manage money, come build with us. Southeast Asia's fintech moment starts here. ABOUT THE ROLE You'll build and own Salmon's Frontline Employees Database — the internal system that runs HR and operational processes for around 4,000 frontline employees. WHAT YOU'LL DO - Start with Frontline DB, which brings together employee and candidate profiles, access and account data, time-off information, shift planning, and selected operational results — with a backlog of initiatives across development, integrations, data mapping, documentation, and process improvement. - Own solutions end to end: dig into the business need, clarify requirements with stakeholders, propose a practical approach, and turn it into a working MVP. - Work directly with HR, Operations, People Partners, and Support, and over time extend scope into integrations with HiBob, Ashby, and other internal systems. WHAT YOU'LL OWN - Develop and improve PostgreSQL data structures for custom internal solutions. - Design, build, and maintain automation and integration workflows in n8n. - Build internal applications, forms, and user interfaces in Retool. - Integrate HR and enterprise systems through REST APIs, webhooks, and other integration methods, with custom logic in Python and/or JavaScript. - Test, troubleshoot, document, and maintain what you build — and handle internal support requests for existing tools and workflows (about 20% of the role). - Grow MVP solutions into reliable internal products as processes and needs evolve. WHAT MAKES YOU A STRONG FIT - Confident SQL skills and experience with relational databases — you can query, validate, and interpret data independently. - Hands-on experience with n8n, Make, or another low-code automation platform. - Experience with Retool or another platform for building internal applications and forms. - Working knowledge of Python and/or JavaScript for scripting and automation. - Understanding of REST APIs, webhooks, and common integration patterns, plus a basic grasp of testing, debugging, and error handling. - A proactive working style — you read incomplete requirements, make reasonable technical decisions independently, and know when to escalate — with good English for working with international stakeholders. WHAT WE OFFER Build what's next in Southeast Asian fintech. OWNERSHIP AND FLEXIBILITY - Stock option plan — four-year vesting with a 25% cliff after the first year - Hybrid-first, with fully remote work available for eligible roles and core collaboration hours from 12:00 to 19:00 Manila time (UTC+8) - Company-provided tools and equipment - Office in Bonifacio Global City, Manila — a modern, walkable district at the centre of the Philippines' growing tech scene HEALTH AND TIME OFF - Medical insurance support for you and your family through co-funding or reimbursement, depending on your location and subject to policy limits - Access to an internal mental health support specialist - 22 vacation days, Philippine public holidays, and 15 sick days - 105 days of paid maternity and paternity leave for employees relocating to Manila RELOCATION AND FAMILY SUPPORT - Relocation support for you, your family — including flights, two weeks of accommodation, visas, paperwork, and logistics - Reimbursement of eligible pet relocation expenses - USD 2,500 per year for flights home - Baby and family stipends for employees relocating to Manila: USD 1,000 per month for each child under two and USD 500 per month for each child aged two to 18 GROWTH AND TEAM EXPERIENCE - Opportunities to learn and share your expertise through internal expert meetups, external conferences, speaking opportunities, and industry publications - Company-sponsored trips to Manila to meet and work with your team in person - Regular team offsites, sports activities, and team events - High-performing teams can earn a dedicated beach house week in Southeast Asia Considering a move to Manila? See what life with Salmon looks like https://www.youtube.com/watch?v=nYQLKhuZHIE&t=34s

Проект: разработка нового микросервиса DocForge (сервис комплектов документов последней мили) и его интеграция с TDS. На первом этапе необходимо реализовать PoC-прокси между TDS и WTIS: прием запроса по ID заказа, запуск асинхронной обработки, проксирование запроса в WTIS, получение PDF-документов, сохранение в S3, выдача полного комплекта или отдельного документа, ведение статусов и логов обработки в PostgreSQL. Задачи: — Backend-разработка микросервиса DocForge на Go — Проектирование и реализация API/worker-компонентов — Интеграция с TDS, WTIS и S3 — Подготовка сервиса к тестовому запуску и канареечному включению по регионам Требования: — Общий опыт работы от 6 лет в backend-разработке, включая коммерческую разработку высоконагруженных сервисов и интеграций между внутренними системами — Опыт с Golang от 3 лет — Опыт с PHP от 1 года (для изучения текущей логики в легаси) — Опыт с PostgreSQL от 3 лет — Опыт с REST API от 3 лет — Опыт разработки асинхронных worker-процессов от 2 лет — Опыт интеграции с S3-совместимыми хранилищами от 1 года — Опыт с Docker/Kubernetes от 2 лет — Опыт мониторинга и логирования от 2 лет — Опыт работы с Jira/Confluence/GitLab от 1 года — Желателен опыт в e-commerce, ERP, документообороте, транспортной или складской логистике — Не менее трех завершенных коммерческих проектов уровня Enterprise — Обязателен опыт разработки микросервисной архитектуры, API-контрактов, фоновой обработки задач, интеграции с внешними/legacy-системами, работы с отказами, retry-механизмами, circuit breaker и идемпотентностью — Желателен опыт миграции функциональности из монолитной ERP/legacy-системы в отдельный микросервис Условия: — Удаленная работа из России, предпочтительно Москва Технологии и инструменты: — Обязательные: Golang, PHP, REST API, PostgreSQL, JSON/JSONB, S3-совместимое хранилище, Docker, Kubernetes, GitLab, Jira, Confluence, GoLand/JetBrains IDE, инструменты логирования и трассировки — Желательные: Grafana, Prometheus, OpenTelemetry, Kafka или RabbitMQ, Redis, MinIO, Swagger/OpenAPI, feature toggle, CI/CD в GitLab, PlantUML/C4, опыт построения сервисов с асинхронной обработкой и поллингом статусов Системы учета задач и документации: — Jira, Confluence, GitLab Обязательна ежедневная отчетность о проделанной работе в согласованном канале коммуникации.

Задачи: — Развёртывание и конфигурация Matrix-хоумсервера на инфраструктуре заказчика. — Настройка отказоустойчивости и масштабирования backend-инфраструктуры. — Интеграция аутентификации и корпоративных сервисов безопасности. — Разработка кастомных серверных модулей под требования. — Настройка аудита, логирования и мониторинга. — Обеспечение безопасности, нагрузочное тестирование и подготовка к аудиту. Требования: — Опыт Backend-разработчиком от 4 лет. — Коммерческий опыт работы с Matrix (Synapse / Dendrite / Element) - обязательно. — Готовность к релокации в Саудовскую Аравию на 3 месяца (релокацию оплачиваем) - обязательно. — Senior-уровень backend-разработки: Python (Synapse - Python/Twisted) и/или Go. — Глубокий опыт с PostgreSQL : репликация, оптимизация запросов, HA. — Redis (кэширование, Pub/Sub). — Docker, CI/CD, уверенное администрирование Linux. — Опыт с self-hosted / on-premise инфраструктурой и объектным хранилищем (MinIO / S3 / Ceph). — Nginx, TLS/HTTPS. — Понимание принципов E2EE, криптографии и безопасной архитектуры (zero-trust, defense-in-depth). — Опыт интеграции LDAP/AD и SSO (SAML 2.0 / OIDC). — Разговорный английский (проект международный, коммуникация с заказчиком). Будет плюсом: — Опыт с WebRTC. — Elasticsearch / OpenSearch. — Опыт интеграции ICAP / антивирусных решений (ClamAV). — Опыт с SIEM, compliance и аудитом (immutable/WORM-логи). — Опыт на международных enterprise / госпроектах с повышенными требованиями к ИБ.

Location: San Francisco Bay Area, USA Workplace: Hybrid Why work at Higgsfield AI? Higgsfield AI is the fastest-scaling generative AI company in history, hitting $500M in annual revenue run rate, 25M+ users worldwide, 6M+ generations per day, and powering 390 of Fortune 500 brands. We're building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn't just moving fast, but rewriting what fast looks like. About the role: Higgsfield AI is seeking a Head of Demand Generation to build and scale our global demand generation engine as we continue our rapid growth. This is a senior, hands-on leadership role responsible for driving pipeline creation across enterprise and self-serve motions — owning strategy and execution across digital channels, paid media, ABM, events, and partnerships, while overseeing our lifecycle marketing function to ensure a seamless journey from first touch through renewal and expansion. You'll work closely with the head of B2B Marketing, Sales, Growth, Product, and Revenue Operations in a fast-paced environment where experimentation, speed, and measurable business impact matter. You'll need to be equal parts strategist and operator: someone who sets the vision and is just as comfortable rolling up their sleeves to execute it. What you'll do: Own Pipeline Generation - Develop and execute the demand generation strategy to drive qualified pipeline across enterprise and PLG motions. - Build integrated campaigns spanning paid media, content, email, webinars, events, partnerships, and outbound support. - Create scalable account-based marketing (ABM) programs targeting enterprise customers and strategic accounts. - Optimize lead generation, conversion, and pipeline velocity across the entire funnel. Scale Marketing Programs - Launch and iterate campaigns quickly using data-driven experimentation. - Partner with Product Marketing to translate product launches, customer stories, and industry trends into high-performing campaigns. - Collaborate with Growth Marketing to ensure cohesive messaging and customer journeys across self-serve and enterprise audiences. - Support field marketing initiatives, executive events, and industry conferences. Measure & Optimize - Define KPIs and build reporting around pipeline generation, attribution, CAC, conversion rates, and ROI. - Partner with Revenue Operations to improve lead routing, scoring, attribution, and campaign measurement. - Continuously test messaging, audiences, creative, and channels to maximize performance. - Identify opportunities to automate and scale marketing operations. Cross-Functional Leadership - Work closely with Sales leadership to align campaigns with pipeline priorities and revenue goals. - Partner with Customer Success to drive expansion and customer marketing initiatives. - Help establish scalable demand generation processes as the company continues to grow globally. Requirements: - 6-8 years of experience in B2B demand generation, growth marketing, or integrated marketing at a high-growth SaaS or AI company. - Proven track record of building programs that generate measurable pipeline and revenue. - Strong understanding of enterprise marketing motions, ABM, and full-funnel demand generation. - Experience managing paid acquisition channels, lifecycle marketing, webinars, events, and integrated campaigns. - Strong analytical mindset with experience measuring attribution, funnel performance, and campaign ROI. - Comfortable partnering closely with Sales, Product Marketing, RevOps, and executive leadership. - Hands-on operator who enjoys building from scratch while thinking strategically. - Experience with modern marketing and CRM platforms (e.g., HubSpot, Salesforce, Marketo, 6sense, Clay, Google Ads, LinkedIn Campaign Manager, etc.) is a plus. - Excellent written and verbal communication skills. Compensation & Benefits: - We offer a competitive and thoughtfully structured compensation package designed to align with impact, experience, and long-term growth. - Base Salary: The anticipated salary range for this role is $220,000 - $320,000, depending on experience, skills, scope, and location. - Equity: In addition to cash compensation, employees are eligible to participate in the company’s stock option program and share in Higgsfield AI’s long-term growth. - Benefits: We offer a comprehensive benefits package designed to support employees professionally and personally, including medical, dental, and vision insurance, a competitive 401(k) retirement plan with company matching, and additional benefits and perks. - The opportunity to work on ambitious AI products alongside a highly experienced, fast-moving, and international team. - Significant ownership, direct impact, and opportunities for professional growth as the company scales. This is a fully remote role based in the United States, with occasional business travel to our San Francisco office required for team meetings, planning sessions, company events, and other in-person collaboration. Team members are expected to be available during agreed working hours and maintain sufficient overlap with the relevant team’s time zone. While we work remotely, we value active communication, responsiveness, and close collaboration across teams. Higgsfield AI is an equal opportunity employer. We are committed to building a diverse and inclusive team and do not discriminate on the basis of race, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic.

Location: Remote- United States Workplace: Remote Solutions Engineer at Whippy Remote, United States, with travel to industry shows and customer sites (roughly 20 to 30 percent) Total Comp: $120,000-$180,000 depending on experience & location Whippy sells a deeply technical product into a non technical industry. Every serious deal involves an ATS integration, telephony architecture, AI agents, and workflow automation. Today, that technical depth in the sales cycle comes from our founders. One of our largest prospects described why it works: our CTO came in as an engineer giving a solution, not a salesperson giving a pitch. Buyers drop their guard for engineers. This role exists so that credibility scales beyond the founders. Your mission: make complex Whippy deployments provable in pre sales and repeatable in post sales. Why Whippy Whippy is the AI native platform for business communication: AI Voice Agents, AI Recruiting, messaging, VoIP, deep integrations, and our own workflow engine in one system. Our customers do not buy software that helps their employees do the work. They buy AI that does the work. Our deepest market today is staffing and HR, where we are the category leader, and new verticals are already opening behind it. We serve more than 1,000 customers, with an engineering team larger than the rest of the company combined. Our enterprise pipeline includes multi hundred branch companies deploying AI agents across their entire footprint. The deals are here. The person who makes them technically real is you. How we work Bootstrapped and profitable, so revenue is the strategy. No task is above or beneath anyone here, including the CEO, who still cold calls, and the CTO, who still runs demos. AI first in how we work, not just what we sell. Speed over polish. Results over activity. The job, pre sales You design the solution on complex deals: which products, how they connect to the prospect's ATS, what writes back, and what the rollout across branches looks like. You own the technical deep dive call, the meeting where the prospect brings their IT admin, and you answer definitively. A confident "no, but here is the workaround" builds more trust than a guessed yes. You carry encyclopedic knowledge of our major integrations. You build prospect specific sandboxes and working AI agents for proof. You own RFPs and security reviews end to end so the AEs stay selling. You travel with the sales team as the technical face of Whippy at industry shows and enterprise on sites, because the biggest deals are won in rooms, not inboxes. The demo environment that can never fail is your personal SLA. The job, post sales You design deployment architecture for enterprise accounts and hand healthy, fully documented implementations to Customer Success. You take the technical escalations that go beyond standard support. And you build the pattern library: every solved deployment becomes a documented, reusable playbook, so the next account starts from a pattern instead of a blank page and the whole team levels up on your work. You also own the feedback loop to engineering: what we lose deals on, what every prospect asks for, where competitors exploit gaps. Where the line sits The AE always runs discovery, always runs the first demo, always owns pricing and the close. You never join a first call. You join when a technical evaluator is joining the next meeting, when the solution needs custom architecture, when a proof of concept needs building, or when an integration question has stumped the AE twice. If a deal arrives without a completed discovery brief, you send it back. This role is a weapon the AEs deploy, not a crutch they lean on. What success looks like - First 30 days: you can run our standard demo solo and have shadowed every active enterprise deal. - First 90 days: you own the technical calls on live deals and have shipped the first three playbooks in the pattern library. - Year one: you own the technical motion on every enterprise deal, the pattern library covers our top ten deployment types, and the founders have not run a scoping call in six months. Who succeeds here You have spent at least 3+ years in customer facing pre sales roles, as an SE, Solutions Consultant, or senior Sales Engineer, in staffing technology, ATS ecosystems, or CCaaS and business telephony. You do not write production code, but you read API docs fluently, test endpoints without an engineer, and can debug an integration live on a call. You have built or configured AI agents or IVR flows, you can run a technical demo solo under hostile questioning, and you write documentation people actually use. You explain architecture in plain English to a business owner and hold your own with their IT team in the same meeting. You get genuine satisfaction from making the deal work, not from being the hero of the room. This is not for you if - You need a solved problem handed to you with a runbook. - You want to stay behind the scenes. This role is customer facing every week. - You see documentation as someone else's job. - You cannot travel to shows and customer sites. Why join now The technical motion that closes our biggest deals currently lives in two founders' heads. You are the person who scales it, owns it, and builds the playbook that everyone after you runs.

Location: Paris; London Workplace: Hybrid ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. THE ROLE As a Talent Acquisition Contractor supporting the EMEA People team, you’ll play a key role in fueling our rapid growth by recruiting top talent across different functions (GTM, Corporate, Product, Engineering ...). You’ll join a distributed, collaborative team dedicated to attracting innovative talent while upholding a high standard of candidate experience. This is a hands-on role where you’ll partner closely with hiring managers and stakeholders to fill critical needs, shape the organization’s future, and take ownership from search strategy to candidate close. Ideal for someone who thrives in a dynamic environment and enjoys making an impact. What You Will Do - Own end-to-end recruiting processes, ensuring a seamless and positive candidate journey. - Design and execute search strategies for diverse roles across business and technical teams. - Collaborate with hiring managers to define needs and recommend hiring strategies. - Source, engage, and attract top talent in competitive markets. - Leverage data to identify inefficiencies and drive continuous improvement in recruiting processes. - Proactively solve challenges and refine documentation, tools, and talent intelligence. - Guide candidates through the process, providing insights to support successful closures. - Innovate and improve by contributing ideas that enhance recruiting efficiency and effectiveness. What We're Looking For - Functional experience: Proven track record recruiting across technical and non-technical roles. - Autonomous hiring: Experience owning searches independently in outbound-driven, competitive markets. - Recruitment background: 5+ years of experience in fast-paced, demanding environments. - Adaptability: Ability to shift seamlessly between strategic projects and hands-on execution. - Global mindset: Experience with international recruiting and working in distributed teams. - Relationship-building: Strong ability to influence stakeholders and foster collaboration. - Communication: Fluent English (written and verbal). - Tool proficiency: Familiarity with modern ATS (e.g. Ashby), LinkedIn search, scheduling (e.g. Modernloop), and AI-driven productivity tools is a plus. - Attention to detail, accountability, and a results-driven approach. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: Luxembourg (Remote) Workplace: Remote ABOUT LILT LILT works with native speakers and subject-matter experts around the world on AI training projects, such as recording, transcription, writing and review. Our contributors help make AI work better in their language. ABOUT THIS PROJECT We’re looking for native speakers of Luxembourgish to help create audio data for speech technology in their language. WHAT YOU’LL DO You can sign up for one or both kinds of work: Record audio. Speak naturally on everyday topics, on your own or in a conversation with another speaker. There’s no script. Recordings are 2 to 15 minutes each. Transcribe audio. Listen to recordings and write out exactly what was said. HOW IT WORKS Fill out this short sign-up form. It takes just a few questions and works on your phone. We’ll email you a short, unpaid sample test for recording, transcription or both. Once you pass, you’ll complete onboarding: a contractor agreement, a background check and payment setup. You’ll then get access to our platform and can start working. PAY You’re paid for each hour of approved audio you record or transcribe. Rates depend on your language and the type of work, and we’ll share yours before you start. If someone from LILT is helping you sign up, they can answer any questions as you go. QUALIFICATIONS - Native fluency in Luxembourgish - English Comprehension - Experience as AI reviewer, annotator, or evaluator preferred - Comfortable working with both textual and audio/video materials - Ability to follow detailed guidelines consistently and provide clear feedback - High attention to detail and ability to thoroughly and accurately categorize content Why Collaborate with Lilt? - Your schedule, your rules. As an independent contractor, work when you want, as much or as little as you want. No fixed hours, no check-ins, no micromanaging. - Get paid quickly and fairly. We respect your time and your expertise. Competitive rates, prompt payments, no chasing invoices. - Work on projects that actually matter. Contribute to cutting-edge AI and language technology that is shaping how humans and machines communicate. - Be part of something bigger. Join a global community of linguists, subject matter experts, and language professionals who are advancing human knowledge together. - Grow without limits. As a Lilt contractor you get access to diverse, innovative projects that expand your portfolio and sharpen your skills across industries and domains. - Have fun doing what you love. Bring your language skills to life on projects that are as interesting as they are impactful. WHAT TO CONSIDER BEFORE APPLYING - Not ideal as a full time job or primary income source. Work availability fluctuates with project demand, making this better suited as a supplemental income stream. As a 1099 contractor, you won't receive benefits such as health insurance, paid time off, or retirement contributions, and hours are not guaranteed. - Requires reliable availability and commitment. Once you accept a task, we expect quality work and on-time delivery. Most tasks require a minimum of 2 hours per day or 10 hours per week. If your schedule is unpredictable, this may not be the right fit. - Geographic restrictions may apply. We cannot engage contractors in regions subject to international embargo or sanctions. As a 1099 contractor, you are solely responsible for your own tax obligations. We recommend consulting a tax professional before engaging. HOW TO JOIN OUR EXPERT COMMUNITY 1 - SUBMIT YOUR APPLICATION INCLUDING AN UPDATED COPY OF YOUR CV IN ENGLISH 2 - COMPLETE A SHORT ASSESSMENT TO EVALUATE LANGUAGE FLUENCY 3 - ONBOARD AND BECOME ELIGIBLE FOR OTHER AVAILABLE PROJECTS #LI-JG1 AI is changing how the world communicates — and LILT is leading that transformation. LILT's mission is to make the world's information available to everyone, no matter the language they speak. Join our global community who thrive on innovation and excellence. Our collective knowledge, uniqueness, and skills deliver multilingual AI and human-verified services to Enterprises, Governments, and AI Developers around the world. Earn money. Have fun. Advance human knowledge. Work on diverse projects from anywhere, any time you want. Get paid quickly and fairly, and build your professional network in a supportive community—all through a streamlined application process tailored to your expertise. Information collected and processed as part of your application process, including any job applications you choose to submit, is subject to LILT's Privacy Policy at https://lilt.com/legal/privacy. At LILT, we are committed to a fair, inclusive, and transparent hiring process. As part of our recruitment efforts, we may use artificial intelligence (AI) and automated tools to assist in the evaluation of applications, including résumé screening, assessment scoring, and interview analysis. These tools are designed to support human decision-making and help us identify qualified candidates efficiently and objectively. All final hiring decisions are made by people. If you have any concerns, require accommodations, or would like to opt-out of the use of AI in our hiring process, please let us know at recruiting@lilt.com. LILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s race, religion, color, national origin, ancestry, sex, sexual orientation, gender identity, age, physical or mental disability, medical condition, genetic characteristics, veteran or marital status, pregnancy, or any other classification protected by applicable local, state or federal laws. We are committed to the principles of fair employment and the elimination of all discriminatory practices.

Location: United States Workplace: remote About Lyra Health Lyra Health is a leading provider of evidence-based mental health care, serving more than 20 million people globally in partnership with employers and more than 100 million through health plan and partner relationships. The company has delivered more than 15 million sessions of mental health care, published more than 35 peer-reviewed studies, and delivered unmatched outcomes in terms of access, clinical effectiveness, and cost efficiency. Extensive peer-reviewed research confirms Lyra’s transformative care model helps people recover twice as fast and results in a 26% annual reduction in overall healthcare claims costs. Lyra is transforming access to life-changing mental health care through Lyra Empower, the only fully integrated, AI-powered platform combining the highest-quality care and technology solutions. About the Role:  Lyra is looking for an exceptional Sr. Software Engineer to accelerate how Lyra itself works. We care deeply about making a difference in people's lives and hope you do too! Our goal? To embed AI into the daily workflows of teams across the company, from engineering and operations to clinical support functions, so that Lyrians spend less time on repetitive work and more time on what matters: getting people the mental health care they need. This is not a platform team role at arm's length from its users. You will embed directly with internal teams, sit with them to understand how work actually gets done, identify the highest-leverage opportunities, and then design, build, ship, and iterate on AI-powered solutions in production. You own outcomes, not just code: adoption and measurable efficiency gains are the finish line, not the deploy. We care deeply about making a difference in people’s lives and hope you do too! Responsibilities Embed with internal teams across the company to map their workflows, identify bottlenecks, and scope AI-driven solutions with clear, measurable efficiency outcomes Take ownership of the full lifecycle: from discovery and prototyping through deployment, adoption, measurement, and iteration Build and continuously improve AI-powered tools, agents, and automations, integrating with our Python and Java-based microservices, our web and mobile apps, and third-party systems Drive the continued integration of agentic software development across engineering, expanding adoption, elevating our technical capabilities, and acting as a force for innovation Evaluate emerging AI tools, models, and patterns; run fast experiments and convert the winners into durable internal capabilities Define and track the metrics that prove impact (time saved, throughput, quality, cost) and communicate results to stakeholders and leadership Work with fellow engineering team members to collaboratively create and refine technical designs and solutions Collaborate with key partners including data science, product management, design, security, and operational and behavioral health teams Follow and promote best practices during all phases of software development, adhering to the highest quality and security standards, including the responsible handling of sensitive data in AI workflows Qualifications BS in CS or related technical field 6+ years of experience developing enterprise or consumer web applications, ideally using Python or Java/Spring Hands-on experience building with LLMs in production: agentic tools and frameworks, prompt and context engineering, evals, and development workflows using Claude and Codex Demonstrated ability to work directly with non-engineering stakeholders: eliciting requirements, translating ambiguous business problems into shipped software, and driving adoption of what you build Strong judgment about where AI genuinely helps versus where it adds risk or noise, especially in a healthcare context Must be highly proactive and a self-starter. This role has unusual autonomy: you will often be the one deciding what to build next, and everyone at Lyra contributes to design, product, front-end, back-end, and quality "We are an Equal Opportunity Employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, age, disability, genetic information or any other category protected by law.   By applying for this position, you acknowledge that your personal information will be processed as per the Lyra Health Workforce Privacy Notice. Through this application, to the extent permitted by law, we will collect personal information from you including, but not limited to, your name, email address, gender identity, employment information, and phone number for the purposes of recruiting and assessing suitability, aptitude, skills, qualifications, and interests for employment with Lyra.  We may also collect information about your race, ethnicity, and sexual orientation, which is considered sensitive personal information under the California Privacy Rights Act (CPRA) and special category data under the UK and EU GDPR.  Providing this information is optional and completely voluntary, and if you provide it you consent to Lyra processing it for the purposes as described at the point of collection, for example for diversity and inclusion initiatives.  If you are a California resident and would like to limit how we use this information, please use the Limit the Use of My Sensitive Personal Information form.  This information will only be retained for as long as needed to fulfill the purposes for which it was collected, as described above. Please note that Lyra does not “sell” or “share” personal information as defined by the CPRA. Outside of the United States, for example in the EU, Switzerland and the UK, you may have the right to request access to, or a copy of, your personal information, including in a portable format; request that we delete your information from our systems; object to or restrict processing of your information; or correct inaccurate or outdated personal information in our systems. These rights may be subject to legal limitations. To exercise your data privacy rights outside of the United States, please contact globaldpo@lyrahealth.com. For more information about how we use and retain your information, please see our Workforce Privacy Notice." As a full-time Sr. Software Engineer - Internal Efficiency, you will be employed by Lyra Health, Inc. The anticipated annual base salary range for this full-time position is $143,000 to $219,000. The base range is determined by role and level, and placement within the range will depend on a number of job-related factors, including but not limited to your skills, qualifications, experience and location. This role may also be eligible for discretionary bonuses. Annual salary is only one part of an employee’s total compensation package at Lyra. We also offer generous benefits that include:  Comprehensive healthcare coverage (including medical, dental, vision, FSA/HSA, life and disability insurances) Lyra for Lyrians; coaching and therapy services Equity in the company through discretionary restricted stock units Competitive time off with pay policies including vacation, sick days, and company holidays Paid parental leave  401K with up to 3% matching Monthly tech allowance We like to spread joy throughout the year with well-being perks and activities, surprise swag, regular community celebration…and more!   We can’t wait to meet you.

Location: San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role The Corporate Network Engineering team owns Anthropic's corporate network: the wired, wireless, and edge infrastructure in our offices and research facilities around the world, and the standards, management systems, and telemetry that let a small team run them. We hold that network to the bar of a production service — designed for failure, managed as code, observable end-to-end, and secure by default — while delivering reliable connectivity to the people who depend on it every day. You'll set the technical direction together with your engineers and own the final decision on it and on the architecture standards, review and guide designs and the hard trade-offs, and lead vendor and platform decisions. You'll lead and grow a small team of network engineers: set priorities, drive decisions to closure, hire, and develop people. The team is small and the scope is broad, so this role needs real depth in campus and edge networking, judgment about what to standardize, automate, buy, and build, and the range to go from a wiring-closet decision to a budget defense in the same afternoon. You'll report to the head of IT Engineering and partner closely with our Buildouts, AV, and Endpoint teams; with Security Engineering on network security, authentication, and detections; with Physical Security, whose systems are critical for protecting Anthropic employees and depend on a reliable network; with Workplace, Real Estate, Procurement, and external logistics and integration partners on new site buildouts; and with our production networking teams, whose bar for reliability and automation is the one we hold ourselves to. Your work will directly shape how we scale to AI Safety Level 4 and beyond. Responsibilities Lead and grow the Corporate Network Engineering team — hiring, development, performance, planning, and prioritization Set technical direction with the team and own the final call on architecture standards across edge, campus switching, wireless, segmentation, out-of-band management, and telemetry; review designs and risky changes, and step in on the hard problems Own reliability and operations: monitoring people act on, incident response and post-incident reviews that produce changes, an on-call and escalation model a small team can sustain, change safety, and lifecycle currency Move the fleet toward network-as-code: templated configuration with change control, staged rollouts, drift detection, and automation that removes operational toil Partner with Security Engineering and Detection & Response on network authentication, segmentation, and the network as a detection source Deliver networks for new offices and research facilities and upgrade existing sites through live migrations — with Buildouts, AV, Physical Security, Workplace, Real Estate, and our logistics partners — while keeping interruptions to employees minimal Own vendor, carrier, and integrator relationships and the network hardware budget: evaluations, contracts, lead times, and multi-year refresh You may be a good fit if you Have 10+ years designing, building, and operating enterprise campus and edge networks, including at least one environment with dozens of sites across regions Have 5+ years leading engineers, including at least 3 years as a people manager Lead through technical judgment: whether or not you've been hands-on-keyboard lately, you can go from architecture to protocol behavior to failure modes with your engineers, and your reviews make their designs better Default to the secure design, then do the creative work to make it painless for the people using it — and can walk an executive or an engineer through the trade-off and make a recommendation Have run the operational side, not just designed it: out-of-band access, monitoring people act on, an on-call model a small team can sustain, and change safety Are pragmatic about what to build, buy, or automate, have run vendor evaluations with real money at stake, and chase problems across organizational boundaries to the actual root cause Communicate clearly with engineers, executives, contractors, and landlords, and can bring a room of senior engineers with strong opinions to a decision they'll commit to Want real technical ownership with a small team — including if you've led a larger organization before — and care about building infrastructure for an organization trying to get AI right Strong candidates may also Have led corporate networking at a company that added offices faster than it added network engineers Have implemented certificate-based network authentication (802.1X/EAP-TLS or equivalent) and identity- or device-based segmentation at scale Have shipped network configuration as code and built telemetry pipelines that security and support teams actually use Have designed dense wireless for large event spaces and high-occupancy floors Have been through multiple office builds with real estate and construction teams — including networks that physical security systems depend on — and know what to ask for before the walls close Have managed integrators, MSPs, or smart-hands providers as an extension of a small team while keeping design authority in-house Technical Skills We're looking for deep, hands-on experience in each of these — not surface familiarity: Enterprise edge: firewalls and routing (HA design, routing protocols, policy management across a fleet) Campus switching and high-density enterprise wireless (L2/L3 design, redundancy, RF design, 6 GHz, high-density venues) Segmentation and access control (certificate-based 802.1X, dynamic segmentation, guest and IoT isolation) Out-of-band management and secure, auditable administrative access Network automation and configuration as code (Python, templating, vendor APIs, source control, CI) Network observability (streaming telemetry, flow and log pipelines) Physical infrastructure for buildouts (MDF/IDF design, structured cabling, power and cooling, carrier and path diversity) Deadline to apply: None. Applications will be received on a rolling basis. 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: $285,000 — $325,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Claude serves millions of individual users alongside enterprise clients. Safeguards Engineering develops the foundational infrastructure that ensures its safe use: robust access controls, active abuse detection, real-time probes and classifiers within the inference pipeline, offline monitoring for review, and the underlying systems powering it all. Operating at scale and velocity, we continuously adapt to technology whose capabilities and risks evolve weekly. The Safeguards Data team owns the data lifecycle for Safeguards—routing user data and safety metadata from online systems into offline storage and enabling access for downstream teams. Our goal is to provide privacy-safe access to sensitive data for approved uses while ensuring performance, reliability, and minimal blast radius. We prioritize security by design, embedding controls directly into systems operating across AWS, GCP, Azure, and customer-managed environments. This is a systems engineering position within a small, newly established team. Rather than managing an existing backlog, you will have the autonomy to own a problem domain, establish its technical vision, and shape the team's trajectory. Key responsibilities Design, build, and operate the stores, pipelines, schemas, and APIs that Safeguards' detection, evaluation, investigation, and review systems read from. Build privacy-safe interfaces that allow ML training, evaluation, and investigation workflows to utilize sensitive data without requiring broad access to raw records, ensuring access is tied to purpose and built-in lineage. Scale the distributed storage, ingestion, and processing systems operated by Safeguards, maintaining cost efficiency, reliability, and portability across deployment environments. Collaborate with investigators, researchers, legal, privacy, and security teams to translate operational requirements into functional mechanisms and systems for safe data utilization. Uphold a high operational bar by participating in the on-call rotation, leading incident reviews, and continuously reducing manual operational overhead. Lead through technical design by authoring foundational proposals and conducting cross-team architectural reviews. Minimum qualifications Have strong systems fundamentals (processes, threads, RPC, storage, and how systems fail) and have built and operated large-scale, fault-tolerant distributed systems Have built and operated systems that handle sensitive or high-value data, with access, privacy, retention and security controls designed in from the start Have a track record of building platforms or internal tooling that other teams widely adopt Have led the technical design of projects that span several engineers or teams Learn quickly and adapt: you're comfortable with ambiguity, a fast pace, and systems or languages you haven't used before Care about the impact of your work and about making AI safe, use good judgment about what matters most, and can explain technical trade-offs to non-technical partners Preferred qualifications Proficiency in one or more systems languages (e.g., C, C++, Rust, Go) 8+ years of experience as a software engineer, and a Bachelor's degree in Computer Science, Software Engineering or comparable professional experience Experience building data infrastructure for ML: training datasets, offline batch inference or evaluation Experience with data governance requirements in a regulated or high-sensitivity domain Fluency with agentic coding tools such as Claude Code The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY | Seattle, WA 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 Head of Technology Partnerships, you will make Claude's ecosystem of technology partners a primary engine of distribution, customer retention, and product innovation. This is a senior leadership role with no inherited playbook. You are a high agency leader and have a track record of building new functions and capabilities. You will set the strategic technology partner strategy, hold the senior relationships with partner executives, drive high-stakes strategic partnerships, build and scale joint businesses, manage technology partner leads, and drive business impact. You are highly commercial and fluent with technical capabilities. You will collaborate with Sales, Business Development, Product, Applied AI, Partner Programs, and Partner Marketing. Key responsibilities Set Anthropic's technology partner strategy: priority partners, investment levels, and business goals across strategic partners. Hold the executive relationships with our most strategic technology partners, establish joint business plans, and lead the highest-impact partnerships Define the "better together" story with each strategic partner, including the products, use cases, and industries we will take to market together, the ones we will not, and how we handle overlap between our products and theirs. Create repeatable co-build, co-sell, co-market, and marketplace motions. Shape partnership structures with Business Development and account teams across product integration, commercial terms, distribution, and joint go-to-market, then take accountability for outcomes once agreements are signed Represent technology partners inside Anthropic: shape product requirements for connectors, plugins, and Marketplace, and influence developer experience, partner economics, and program design. Build the measurement system for evaluating partner health and business impact. Minimum qualifications Have built and led a technology partnerships, alliances, or strategic partnerships function, including hiring and managing partner leads and owning the organization's revenue or consumption target Have personally led strategic partnerships with large enterprise software companies at the executive level Have delivered on complex partnerships that combine product integration, commercial terms, distribution, and joint go-to-market, working alongside legal, finance, and product Understand AI platforms, SaaS and consumption business models, cloud marketplaces, and enterprise go-to-market well enough to design a joint solution with a partner's product and field leaders, and to explain how Claude is embedded in and consumed through a partner's product Have credibility with partner C-level executives and with internal product, engineering, sales, finance, legal, and marketing leaders, and lead through influence in a matrix where account executives own the customer relationship Care about the safe and beneficial development of AI, and want the partnerships you run to reflect that Preferred qualifications Experience standing up an ecosystem business or partner function from scratch at a high-growth company and scaling it from first hires to a multi-team organization Experience leading partnerships, marketplace, or ecosystem with enterprise SaaS, data platform, or cybersecurity companies Experience building industry-specific or use-case-specific go-to-market plays with a partner and taking them to production at joint customers Working familiarity with how AI applications and agents are built on model APIs, agent SDKs, and the Model Context Protocol 12+ years in technology partnerships, business development, platform ecosystems, or enterprise software, including several leading teams 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: $365,000 — $425,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Remote - USA Workplace: Remote fal is the generative media ecosystem powering the next generation of AI products. We build the infrastructure, tools, and model access that teams need to move from idea to production, and do it at scale without compromise. For developers and enterprises, fal is the foundation that makes generative media not just possible, but practical: a unified platform where high-performance inference, orchestration, and observability come together to unlock new categories of AI-native products. As generative media reshapes industries across a market projected to grow by hundreds of billions over the next decade, fal is becoming the ecosystem that ambitious teams build on. ABOUT THIS ROLE: You will build the public and private network infrastructure connecting all of fal's data centers and cloud environments, supporting both our public serverless platform and custom compute clusters. The scope includes internet routing, private connectivity, overlay networks, DNS, IP address management, cloud-provider integration, and high-performance Linux networking. You will work across the networking stack — from BGP announcements and private peering to kernel-level performance tuning. The goal is to make our network fast, reliable, secure, isolated, and easy to operate. What you'll do: - Design, build, validate, and operate public and private networks across the public platform and private compute clusters - Use AI aggressively to automate and accelerate network provisioning, configuration, validation, monitoring, and recovery - Manage ASNs, public IP prefixes, and private address space (allocation, registration, announcement, lifecycle) - Build and operate BGP routing: route policies, communities, filtering, traffic engineering, and failover - Announce customer and company IP ranges from physical infrastructure and cloud providers, including BYOIP integrations - Establish private peering with customers, partners, data centers, internet exchanges, and cloud providers - Build private and overlay networks using VXLAN, IPsec, WireGuard, and Tailscale - Operate DNS networking patterns including anycast DNS and mDNS - Tune the Linux networking stack for high throughput, low latency, and large connection counts - Build network observability and diagnostics using metrics, logs, flow data, active probes, and packet captures - Develop reusable tooling, standards, documentation, and runbooks - Collaborate with customers and internal teams to translate connectivity, security, isolation, and performance requirements into sound network designs Qualifications/Nice to Have: - 5+ years building and operating production network infrastructure - Strong Linux networking: routing tables, policy routing, network namespaces, bonding, VLANs, bridges, firewalling, NAT, conntrack - Deep BGP knowledge: route selection, communities, filtering, convergence, multipath, troubleshooting - Experience managing ASNs, public IP space, BGP announcements, IPAM, RPKI/ROAs, IRR records - Experience designing private IPv4/IPv6 address plans and preventing cross-customer/region conflicts - Production VXLAN overlay network experience - Production IPsec, WireGuard, or Tailscale experience - Experience with anycast DNS and mDNS - Experience with private peering and cloud provider interconnects - Linux networking performance tuning: congestion control, queue disciplines, socket buffers, MTU, NIC offloads, RSS/RPS/XPS, IRQ affinity - Packet-level troubleshooting: iproute2, tc, ethtool, tcpdump, Wireshark, mtr - Ansible or equivalent network configuration automation - EVPN as a VXLAN control plane - FRRouting, BIRD, or similar software-routing platforms - AWS Direct Connect, Google Cloud Interconnect, Azure ExpressRoute - Internet exchanges, cross-connects, route servers, colocation networking - DDoS detection, mitigation, scrubbing, BGP-based traffic diversion - eBPF, XDP, DPDK - NetBox, Nautobot, Nornir - Authoritative or recursive DNS infrastructure at scale - Network hardware: Arista, Juniper, Cisco - Kubernetes networking, service load balancing, CNI - Python or Go WHAT WE OFFER AT FAL - Interesting and challenging work - A lot of learning and growth opportunities - We offer visa sponsorship and will help you relocate to San Francisco. - Health, dental, and vision insurance (US) - Regular team events and offsites COMPENSATION - $180,000 - $250,000 + equity + comprehensive benefits package U.S. EQUAL EMPLOYMENT OPPORTUNITY INFORMATION: fal provides equal employment opportunities to applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or any other classification protected by applicable law.

Location: Dallas, Texas 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. Who You Are: The Senior Mechanical Engineer, Data Center Operations Engineering & Reliability provides full-lifecycle mechanical engineering support across the data center portfolio, from site design and construction through commissioning, turnover, and enduring operations within Galaxy's Data Center team. This role serves as an operations-focused technical owner for mechanical infrastructure, ensuring systems are designed, built, commissioned, maintained, and operated in a way that protects uptime, preserves design intent, supports redundancy models, and improves long-term asset reliability. The role partners with site operations, design and construction, commissioning, controls/BMS, vendors, OEMs, finance, and enterprise reliability leadership to translate design decisions and construction outcomes into safe, maintainable, and reliable operations. What You’ll Do: This position supports the enterprise reliability strategy, maintenance governance, asset lifecycle planning, engineering standards, RCA discipline, technical escalation model, commissioning lessons learned, and continuous improvement objectives owned by the VP, Operational Reliability & Engineering. Key Responsibilities 1. Site Design and Pre-Construction Support Provide mechanical engineering input during site selection, concept design, schematic design, design development, and construction document reviews. Review mechanical design packages for operational readiness, maintainability, service access, system redundancy, capacity, resiliency, and preservation of design intent. Evaluate mechanical system designs, including chilled water systems, air-cooled and water-cooled chillers, pumps, cooling towers, CRAH/CRAC units, heat exchangers, economizers, valves, piping, filtration, humidification, water treatment systems, and supporting infrastructure. Identify design risks that could create future operational issues, single points of failure, maintenance access constraints, reliability gaps, or lifecycle cost exposure. Participate in constructability reviews, value engineering discussions, submittal reviews, RFI resolution, equipment selection reviews, and design standard updates. Partner with design and construction teams to ensure mechanical systems align with enterprise standards, OEM requirements, warranty protections, and long-term operating expectations. 2. Construction, Commissioning, Turnover, and Operational Readiness Support construction-phase technical reviews to ensure installed mechanical systems remain aligned with approved design intent, redundancy models, sequence requirements, and operating requirements. Review and provide input on commissioning plans, functional performance tests, integrated systems tests, failure-mode tests, and sequence-of-operations validation. Validate that mechanical alarms, controls sequences, set points, trends, and BMS visibility support safe and reliable operations. Ensure turnover packages include complete O&M manuals, as-built drawings, asset data, warranty information, spare parts requirements, PM tasks, training materials, and vendor service requirements. Confirm site operations teams are prepared to operate, maintain, and troubleshoot mechanical systems before handoff to enduring operations. Capture construction and commissioning lessons learned and incorporate them into standards, operating procedures, maintenance programs, and future designs. 3. Enduring Operations and Reliability Engineering Serve as a mechanical technical escalation point for site operations during incidents, abnormal operating conditions, environmental excursions, equipment failures, and reliability concerns. Analyze mechanical system performance trends, including temperature, humidity, flow, pressure, valve position, pump performance, chiller efficiency, economizer operation, and controls stability. Lead or support root cause analysis for mechanical incidents, near misses, recurring alarms, capacity constraints, and equipment failures. Develop corrective and preventive actions that eliminate repeat failure modes and reduce operational risk. Partner with controls/BMS teams to improve alarm rationalization, monitoring, trending, sequence performance, and operator visibility. Provide engineering guidance for live-site maintenance activities, system isolations, change management reviews, MOPs, SOPs, EOPs, and risk assessments. Own the mechanical sequence-of-operations documentation as a living artifact post-turnover, ensuring it stays current as systems, set points, and control strategies evolve during enduring operations. 4. Maintenance, Asset Lifecycle, and Risk Management Define, review, and improve preventative maintenance standards for critical mechanical equipment across the operating portfolio. Ensure maintenance practices align with OEM recommendations, warranty requirements, contractual uptime commitments, and site-specific operating conditions. Support reliability-centered maintenance and predictive maintenance programs where appropriate, using asset condition, failure history, service records, and operating data. Develop mechanical asset criticality frameworks to prioritize inspection, maintenance, testing, spare parts, capital replacement, and engineering oversight. Partner with finance, operations, and reliability leadership to support long-term capital replacement forecasts tied to equipment degradation, age, risk, and lifecycle cost. Review vendor service quality, maintenance documentation, corrective maintenance effectiveness, and spare parts strategies for critical mechanical systems. Own the water treatment and chemistry monitoring program for chilled water and condenser water systems, including chemistry limits, treatment equipment performance, ongoing monitoring cadence, and coordination with water treatment vendors to protect system integrity and heat transfer efficiency. 5. Standards, Governance, and Continuous Improvement Develop and maintain mechanical engineering standards, operating playbooks, troubleshooting guides, technical bulletins, and review frameworks for the operations organization. Support management of change processes to ensure mechanical modifications are reviewed for reliability, redundancy impact, maintainability, documentation, training, and operational readiness. Translate site-level incidents, near misses, asset performance issues, and commissioning findings into portfolio-wide improvements. Help establish engineering competencies, technical training content, and qualification expectations for mechanical operations support. Reduce single points of technical dependency by documenting knowledge, coaching site teams, and strengthening internal engineering capability. Promote disciplined risk evaluation, technical documentation, and cross-functional decision-making across design, construction, commissioning, and operations. What We’re Looking For: Required Qualifications Bachelor's degree in Mechanical Engineering or a closely related technical discipline. 8-10 years of progressive mechanical engineering experience, with at least 5 years supporting data centers, mission-critical facilities, central plants, industrial facilities, or other 24x7 high-availability environments. Demonstrated experience supporting mechanical infrastructure across design review, construction support, commissioning, turnover, maintenance, troubleshooting, and enduring operations. Strong working knowledge of data center or mission-critical mechanical systems, including cooling plants, air handling systems, pumps, heat rejection equipment, piping, valves, controls, and redundancy configurations. Experience reviewing mechanical drawings, equipment submittals, sequence-of-operations documents, commissioning scripts, test reports, O&M manuals, and maintenance documentation. Ability to troubleshoot complex mechanical issues in live operational environments and make sound recommendations that balance uptime, safety, cost, schedule, and long-term reliability. Experience with preventative maintenance, root cause analysis, corrective action planning, asset lifecycle management, and operational risk assessment. Strong communication skills with the ability to explain technical issues clearly to site operations, leadership, vendors, design teams, construction teams, and commissioning partners. Preferred Qualifications 10+ years of mechanical engineering experience in large-scale data center, mission-critical, or multi-site critical infrastructure environments. Professional Engineer license or Engineer-in-Training certification. Experience serving as a senior mechanical technical escalation point for live operational facilities. Experience supporting new data center builds, major expansions, retrofits, integrated systems testing, and operational turnover. Knowledge of Uptime Institute Tier concepts, ASHRAE guidance, OEM maintenance requirements, and data center availability expectations. Experience with BMS platforms, mechanical controls troubleshooting, alarm strategy, trend analysis, and sequence optimization. Familiarity with predictive maintenance technologies, thermal modeling, CFD, digital asset management, CMMS data quality, or reliability analytics. Experience developing mechanical standards, SOPs, MOPs, EOPs, RCA templates, training materials, and engineering governance processes. Key Competencies Mission-critical mechanical engineering expertise. Operational reliability mindset and strong risk recognition. Ability to identify design, construction, commissioning, and operating issues before they become outages. Practical understanding of how design and construction decisions impact long-term operations. Strong troubleshooting, incident response, and root cause analysis capability. Clear technical communication and cross-functional leadership. Discipline around change management, documentation, governance, and lessons learned. Ability to create scalable standards for a growing operating portfolio. Success Measures Improved mechanical system reliability and reduced repeat mechanical incidents. Strong uptime performance across supported data center sites. Successful transition of new sites from design and construction into stable operations. Reduction in emergency corrective maintenance related to mechanical systems. Improved mechanical asset health visibility and long-term capital replacement planning. Standardized mechanical maintenance practices, technical documentation, and operating expectations across the portfolio. Fewer design, commissioning, and turnover issues impacting operations. Increased technical capability of site operations teams and reduced reliance on external consultants for core mechanical expertise. Overall reduction in operational SLA violation risk due to operational support (programs/processes/tooling). What We Offer (Dallas): Competitive base salary and discretionary bonus Flexible Time Off (i.e. unlimited paid vacation days) Company paid Holidays (14) Company paid sick leave Company-paid health and protective benefits for employees, partners, and other dependents 3% 401(k) company contribution Generous paid Parental Leave Free virtual coaching and counseling sessions through Ginger Free daily snacks in-office Smart, entrepreneurial, and fun colleagues Employee Resource Groups *Benefits may vary depending on location. Apply now and join us as we grow the economy that runs on code. 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: New York, NY Workplace: OnSite About the Company Rain is the global stablecoin payments platform for enterprises, neobanks, platforms, developers, and AI agents. Our technology allows partners to move, store, and use stablecoins instantly and compliantly through global payment cards, rewards, on/offramps, wallets, and cross-border rails. As both a Visa and Mastercard Principal Member, Rain issues cards that work at more than 175 million merchant locations in over 220 countries and territories. Built natively for stablecoins and trusted by more than 100 organizations worldwide, Rain delivers secure, scalable infrastructure that makes money move freely and instantly around the world. You will have the opportunity to deliver massive impact at a hypergrowth company backed by some of the top investors in fintech, crypto, and SaaS. In January 2026, we closed a $250M Series C led by ICONIQ, valuing Rain at $1.95B, with Sapphire Ventures, Dragonfly, Bessemer Venture Partners, Galaxy Ventures, FirstMark, Lightspeed, Norwest, and Endeavor Catalyst also participating. If you're curious, bold, and excited to help shape a borderless financial future, we'd love to talk. Our Ethos We believe in an open and flat structure. You will be able to grow into the role that most aligns with your goals. Our team members at all levels have the freedom to explore ideas and impact the roadmap and vision of our company. About the Team Product Marketing sits within Rain's Marketing & Communications team and owns how we bring Rain's card issuing and stablecoin infrastructure to market. The Cards product pillar is our longest-standing product, and includes stablecoin cards that work across the Visa and Mastercard networks, onchain rewards infrastructure that drives loyalty, and thoughtfully crafted capabilities, like scoped cards, that support agentic payments as agents take on more of the world's transacting. Reporting to our founding PMM, you'll help build the positioning, enablement, and market intelligence that keep Rain ahead as this category gets more crowded. What you’ll do - Own go-to-market for new card-related product and feature launches, from positioning through rollout - Build and maintain revenue enablement for both Business Development and post-sales Platform teams, including pitch decks, case studies, and sell sheets, as well as internal training - Partner closely with Product, Engineering, Compliance, and Legal to translate card program mechanics like interchange, network rules, program economics, and agentic use cases into materials teams can act on - Track issuers and networks entering the stablecoin card space in key global markets and give internal teams a clear point of view on how Rain wins - Build and run training for Business Development and post-sales Platform teams on card issuing fundamentals so they can sell and support credibly - Represent the voice of the customer back to Product and Engineering to shape roadmap priorities You are likely to succeed if you have: - 3-7+ years in product marketing, product management, or sales enablement at a card network, issuer, processor, or program manager (not a fintech or neobank that simply offered a card to consumers) - Deep knowledge of card issuing economics, including interchange, network fees, program management, and compliance - A track record selling or marketing card programs to enterprise-level companies - Genuine interest in agentic payments and how cards like Rain's scoped cards will become a primary way agents transact - Comfort working cross-functionally with Product, Engineering, Compliance, and Legal in a fast-moving environment - Strong writing and communication skills, with the ability to make technical and regulatory complexity clear Bonus attributes: - Existing relationships across the card issuing and network ecosystem - Familiarity with agentic commerce, AI agents, or emerging payment rails Things that enable a fulfilling, healthy and happy experience at Rain: Unlimited time off 🌴 Unlimited vacation can be daunting, so we require Rainmakers to take 10 days minimum for themselves. Flexible working ☕ We support a flexible workplace – work from home, come into an office, or both. We want everyone to work in an environment where they're their most confident and productive selves. New Rainmakers receive a stipend to set up a comfortable home workspace. Easy to access benefits 🧠 For US Rainmakers, we cover 95% of your health, dental, and vision plan costs and 90% for your dependents, plus a 100% company-subsidized life insurance plan. Retirement goals💡 Plan for the future with confidence. We offer a 401(k) with a 4% company match. Equity plan 📦 Every Rainmaker gets an equity option plan so we all benefit from our success. Health and Wellness 📚 High performance begins from within. Rainmakers receive a monthly stipend to be used for eligible health and wellness spending like gym memberships/fitness classes, massages, acupuncture - whatever recharges you! In-office meals 🍜 Rainmakers working from the office enjoy lunch and dinner on us, covered with a DoorDash credit. Team summits ✨ Summits play an important role at Rain. Time together helps us build relationships and a common destiny. Expect team and company offsites, both domestic and international.

Location: New York, NY Workplace: OnSite About the Company Rain is the global stablecoin payments platform for enterprises, neobanks, platforms, developers, and AI agents. Our technology allows partners to move, store, and use stablecoins instantly and compliantly through global payment cards, rewards, on/offramps, wallets, and cross-border rails. As both a Visa and Mastercard Principal Member, Rain issues cards that work at more than 175 million merchant locations in over 220 countries and territories. Built natively for stablecoins and trusted by more than 100 organizations worldwide, Rain delivers secure, scalable infrastructure that makes money move freely and instantly around the world. You will have the opportunity to deliver massive impact at a hypergrowth company backed by some of the top investors in fintech, crypto, and SaaS. In January 2026, we closed a $250M Series C led by ICONIQ, valuing Rain at $1.95B, with Sapphire Ventures, Dragonfly, Bessemer Venture Partners, Galaxy Ventures, FirstMark, Lightspeed, Norwest, and Endeavor Catalyst also participating. If you're curious, bold, and excited to help shape a borderless financial future, we'd love to talk. Our Ethos We believe in an open and flat structure. You will be able to grow into the role that most aligns with your goals. Our team members at all levels have the freedom to explore ideas and impact the roadmap and vision of our company. About the Team Product Marketing sits within Rain's Marketing & Communications team and owns how we bring Rain's infrastructure to market. The Money Movement line covers onramps, offramps, and payments, the connective tissue between onchain and the world's banking rails. As the world moves onchain, this team's job is to make clear how Rain bridges stablecoins with the rails enterprises already trust, from ACH and SEPA to SWIFT, Fedwire, and local real-time payment schemes. Reporting to our founding PMM, you'll help build the positioning, enablement, and market intelligence that keep Rain ahead as this category matures. What you’ll do - Own go-to-market for new onramp, offramp, and payments product and feature launches, from positioning through rollout - Build and maintain revenue enablement for both Business Development and post-sales Platform teams, including pitch decks, case studies, and sell sheets, as well as internal training - Partner closely with Product, Engineering, Compliance, and Legal to translate money movement mechanics like liquidity, settlement, FX, and cross-border regulatory nuance into materials teams can act on - Track banking rails and payment schemes around the world, including ACH, SEPA, SWIFT, Fedwire, and regional real-time payment systems, and explain how Rain connects to each - Track competitors in the stablecoin on/offramp space and give internal teams a clear point of view on how Rain wins - Represent the voice of the customer back to Product and Engineering to shape roadmap priorities You are likely to succeed if you have: - 3-7+ years in product marketing, product management, or sales enablement at a payments company, bank, or money transmitter working directly with cross-border rails and settlement - Deep knowledge of banking rails and payment schemes around the world, including ACH, SEPA, SWIFT, Fedwire, and regional real-time payment systems - A track record selling or marketing payments infrastructure to enterprise-level companies - Genuine interest in how stablecoins and onchain rails are reshaping global money movement - Comfort working cross-functionally with Product, Engineering, Compliance, and Legal in a fast-moving environment - Strong writing and communication skills, with the ability to make technical and regulatory complexity clear Bonus attributes: - Experience with FX and treasury operations across multiple currencies - Existing relationships across banks, payment processors, or correspondent banking networks - Familiarity with stablecoins, blockchain settlement, or onchain payment rails Things that enable a fulfilling, healthy and happy experience at Rain: Unlimited time off 🌴 Unlimited vacation can be daunting, so we require Rainmakers to take 10 days minimum for themselves. Flexible working ☕ We support a flexible workplace – work from home, come into an office, or both. We want everyone to work in an environment where they're their most confident and productive selves. New Rainmakers receive a stipend to set up a comfortable home workspace. Easy to access benefits 🧠 For US Rainmakers, we cover 95% of your health, dental, and vision plan costs and 90% for your dependents, plus a 100% company-subsidized life insurance plan. Retirement goals💡 Plan for the future with confidence. We offer a 401(k) with a 4% company match. Equity plan 📦 Every Rainmaker gets an equity option plan so we all benefit from our success. Health and Wellness 📚 High performance begins from within. Rainmakers receive a monthly stipend to be used for eligible health and wellness spending like gym memberships/fitness classes, massages, acupuncture - whatever recharges you! In-office meals 🍜 Rainmakers working from the office enjoy lunch and dinner on us, covered with a DoorDash credit. Team summits ✨ Summits play an important role at Rain. Time together helps us build relationships and a common destiny. Expect team and company offsites, both domestic and international.

Location: New York WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW As a Product Operations Manager, Integrations at Harvey, you'll own the operating system behind our integrations and partner ecosystem — the APIs, MCP servers, and third-party connectors that let law firms and in-house legal teams plug Harvey into the rest of their tech stack. You'll triage and prioritize integration requests, manage the technology and ISV partners building on our platform, run early-access programs for new integrations, and coordinate the launches that bring them to market — all while building the lightweight systems that let the integrations program scale as our partner ecosystem grows. This is a role for someone who's spent real time inside an integrations team or a marketplace/app store business, understands what makes an API- or MCP-based integration actually hold up in production, and knows how to balance partner needs against Harvey's own roadmap and security bar. WHAT YOU'LL DO Partner & Integration Request Intake — Making sure the right signal reaches the right team, fast - Own the intake, triage, and prioritization of integration and API/MCP feature requests from customers and partners. - Triage partner- and customer-reported integration issues, assess severity and impact, coordinate resolution across the appropriate teams, and ensure timely communication. - Manage relationships with technology and ISV partners across the integration lifecycle — onboarding, ongoing operations, issue resolution, and delivery quality. Programs & Launches — Getting new integrations into partners' and customers' hands, then out the door broadly - Plan and run early-access programs for new integrations and API/MCP capabilities, including partner selection, onboarding, feedback collection, usage analysis, and launch recommendations. - Coordinate cross-functional launches of new integrations by tracking dependencies, validating operational readiness, surfacing risks, and keeping high-priority initiatives on track. Systems That Scale — Turning feedback and recurring friction into durable process - Translate partner, customer, and internal feedback into clear requirements, prioritized workstreams, and actionable recommendations for the integrations roadmap. - Create and maintain documentation, playbooks, and enablement materials — including partner-facing API/MCP documentation — that help internal teams and partners communicate and operate effectively. - Identify recurring operational challenges in the partner and integration lifecycle, and implement lightweight systems, automation, and processes (partner onboarding checklists, certification criteria, listing standards) that let the program scale. WHAT YOU HAVE - 3-5+ years in Product Operations, Program Management, Partner or Ecosystem Operations, or a related role at a high-growth tech or SaaS company — ideally on a team responsible for integrations, APIs, or a partner platform. - Direct experience working on an integrations team — you've sat inside the function that builds, ships, and supports third-party connections, not just consumed them. - Working knowledge of APIs and MCP (Model Context Protocol) — comfortable in conversations about auth, rate limits, schemas, and what separates a reliable integration from a fragile one. - Experience from an app store, marketplace, or partner ecosystem business — managing listings, partner certification, marketplace policies, or developer relations — so you understand both sides of a two-sided platform. - Experience managing external technology or ISV partner relationships, including onboarding and ongoing delivery quality. - Hands-on experience running early-access or beta programs and coordinating launches in a fast-moving product environment. - Strong written communication — you can turn partner and customer feedback into clear requirements, playbooks, and documentation that both internal and partner teams actually use. - Proven ability to drive cross-functional alignment across Product, Engineering, Partner/BD and GTM without direct authority. - A bias toward lightweight systems over heavy processes — you'd rather ship a simple fix that scales than a perfect framework nobody uses. COMPENSATION $150,000 - $250,000 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-CD1 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