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Company Overview: Legion Technologies is a pioneer in AI-powered workforce management, offering a SaaS platform that helps large enterprises optimize labor efficiency and improve hourly employee experience through AI-driven demand forecasting, automated scheduling, time & attendance, and employee engagement tools. The mission is to transform hourly jobs into good jobs by providing intelligent automation and greater employee flexibility via a mobile app. Role Summary: The General Counsel (GC) is the chief legal officer and a key executive team member responsible for leading global legal, intellectual property, and corporate functions. The GC partners strategically with the CEO, executive team, and Board, building a high-performing legal organization to support growth, globalization, and product innovation. The GC oversees legal strategy across commercial/SaaS, privacy, AI governance, labor, corporate governance, IP, compliance, and risk management. Key Responsibilities: 1. Legal Strategy & Leadership: — Develop and execute legal strategy aligned with business objectives. — Advise CEO, executives, and Board on legal, regulatory, governance, risk, compliance, fundraising, and transactions. — Build and lead in-house legal team; manage external counsel. — Establish scalable legal processes and playbooks. 2. Corporate Governance & Financing: — Serve as corporate secretary; manage Board and committee governance. — Oversee corporate structure, subsidiaries, and compliance. — Support equity and debt financings, investor negotiations, and governance. — Partner with Finance and People teams on equity plans and disclosures. 3. Commercial, Product & Partnership Counsel: — Provide legal support for commercial operations including SaaS subscriptions, services, partner agreements, and data processing terms. — Collaborate with Sales, Customer Success, Partnerships to manage deal cycles and risk. — Partner with Product, Engineering, Security to ensure compliance of AI-enabled platform and integrations. — Counsel on product features, AI use cases, mobile app, and international expansion. 4. Privacy, Data Protection & Terms of Use: — Own global privacy and data protection program, ensuring compliance with US and international laws. — Oversee Terms of Service, privacy policies, and product policies. — Support security reviews, audits, incident response. — Develop policies and training on data governance and ethical AI use. 5. Labor, Employment & Workforce Compliance: — Advise on employment matters including hiring, terminations, performance, compensation. — Support People team on labor law-compliant policies. — Guide product features supporting labor and scheduling law compliance. 6. Intellectual Property & Innovation: — Develop and implement global IP strategy covering patents, trademarks, copyrights, trade secrets, open-source. — Partner with Product and Engineering to protect AI and workforce management innovations. — Manage IP enforcement and defense. 7. Regulatory, Compliance & Risk Management: — Monitor legal developments in AI, data privacy, employment, software. — Design risk and compliance frameworks. — Support investigations, ethics initiatives. — Coordinate insurance coverage and claims. 8. Strategic Transactions & Corporate Development: — Lead legal aspects of M&A, investments, partnerships. — Provide guidance on competition, antitrust, regulatory issues. Qualifications: — J.D. degree and membership in good standing with a US state bar. — 15+ years combined experience in top-tier law firms and in-house roles, including senior GC roles at high-growth tech or SaaS companies. — Deep expertise in enterprise SaaS contracting, corporate governance, data privacy, IP strategy. — Proven leadership in building legal teams supporting growth and international expansion. — Business-minded advisor balancing risk and commercial objectives. Preferred: — Experience in HR tech, workforce management, fintech, or data-intensive SaaS. — Leadership in AI/ML product legal and ethical issues. — Experience with global customers across North America, EMEA, APAC. — Experience with large enterprise and strategic partners like SAP. Skills & Attributes: — Exceptional judgment, integrity, discretion. — Strong communication translating legal issues for non-legal stakeholders. — Collaborative, low-ego leadership. — Practical, fast-paced, high-growth environment comfort. — Passion for improving hourly work. Additional Information: — Full-time, exempt position. — Some travel required. — Competitive compensation including salary, equity, benefits. Compensation & Benefits: — Base salary $250,000 - $300,000 plus bonus and stock equity. — Benefits include flexible medical, dental, vision plans, 401k, paid time off, parental leave, wellness reimbursement, monthly lunch. Equal Employment Opportunity: — Legion is an equal opportunity employer committed to diversity and inclusion. Contact for disability accommodation: recruiting@legion.co

SkyСoach — это большой сервис внутриигровых услуг, помогающий в развитии аккаунтов WoW, Destiny 2, Call of Duty, FIFA, Genshin Impact и десятков других популярных игр. Мы в поиске CTO / Engineering Leader - hands-on технического лидера, который возглавит технологическую трансформацию: ускорит delivery, внедрит AI-native подходы в разработку, модернизирует legacy-систему и сохранит стабильность продукта. Стэк: Laravel (PHP), Vue 2/3 (javascript + typescript), NodeJS (ssr + websocket), Postgresql, Redis, Elasticsearch. Чем предлагаем заняться? • Сильным техническим лидером с глубоким engineering background: бывшим разработчиком/архитектором, способным погружаться в код и технически «челленджить» команду. • С успешным опытом найма, менторства и руководства командой разработки, способной эффективно реализовывать проектные цели.

Location: Seoul, South Korea 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 in Korea 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 in Korea throughout their Claude adoption journey, from discovery to initial evaluation through deployment. You will need to coordinate internally across multiple teams and stakeholders, including global teams across time zones, 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 span the gamut from technical deep dives for engineering and 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, including Korean language 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 people management for the technical sales roles. 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, including C-suite executives, engineering and 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 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 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 Fluency in Korean and English Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. 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: Москва Команда занимается развитием фреймворка разработки витрин данных. В команде объединены экспертизы по DE, Software Engineering, анализу и архитектуре, DevOps, Backend и Frontend разработке. Работаем по Scrum, ценим высокий профессионализм, культуру общения и проактивность. В центр компетенций по DevOps мы ищем сильного коллегу - Senior DevOps Engineer. Обязанности * разрабатывать pipelines для деплоя дистрибутивов на тестовый и production кластеры Hadoop и OpenShift * внедрять CI/CD в процессы разработки * разрабатывать функционал для платформы разработки витрин данных и его прикладной части * настраивать мониторинг доступности кластеров Hadoop и Backend сервисов * настраивать интеграции с корпоративными системами хранения секретов * развивать DevOps функцию с акцентом на улучшение CSI DevOps и всего продукта. Требования * наличие высшего образования * опыт работы DevOps инженером от 4 лет * глубокое знание контейнеризации и оркестрации * глубокое понимание и экспертиза в CI/CD * опыт работы с HashiCorpVault или др. системами хранения секретов * опыт работы с популярными инструментами (Jenkins, Ansible, Python и др.) **будет преимуществом:** * знание интеграции MPP с k8s (в частности Spark, Flink) * опыт работы и настройки Hadoop (Spark/Yarn, Spark/K8s и др.) Условия * гибридный формат в Москве (ул.Поклонная, 3) * ежегодный пересмотр зарплаты и годовая премия * расширенный ДМС и льготное страхование для семьи * уникальная система обучения Сбера для профессионального и карьерного развития * выгодная ипотека для сотрудников * подписка Прайм с возможностью совместного использования на трёх близких * вознаграждение за рекомендацию друзей в команду Сбера * корпоративная пенсионная программа.

WHO WE’RE LOOKING FOR This role is for a recruiter who is comfortable working with technical profiles and understands that successful recruitment is more than simply forwarding CVs. You should be able to understand a vacancy, identify the right talent pool, find relevant candidates, conduct a strong first interview and keep the process moving until the candidate joins the company. WHAT YOU’LL WORK WITH Depending on current hiring needs, you may recruit: • Software Developers • QA Engineers • DevOps / System Administrators • Business & Data Analysts • Other technical specialists YOUR DAY-TO-DAY WORK Discuss open positions with hiring managers and clarify requirements Search for candidates using , GitHub, Telegram, Habr Career, hh.ru http://hh.ru/ and professional communities Use Boolean and X-Ray search techniques to find passive candidates Review CVs and profiles and conduct introductory interviews Evaluate motivation, communication skills and overall fit for the role Arrange technical interviews with relevant team members Keep candidates informed throughout the process Prepare and negotiate offers Maintain an organized candidate pipeline and recruitment database Track market trends and salary expectations WHAT YOU SHOULD BRING At least 1 year of IT recruitment experience Experience hiring technical specialists Good understanding of common IT roles, technologies and terminology Ability to distinguish different seniority levels and understand basic technical requirements Strong sourcing and headhunting skills Confident use of and other professional platforms Strong communication and negotiation abilities Ability to manage several vacancies simultaneously English B2+ for written communication and reading Proactive approach and responsibility for results

Location: Москва Команда занимается развитием фреймворка разработки витрин данных. В команде объединены экспертизы по DE, Software Engineering, анализу и архитектуре, DevOps, Backend и Frontend разработке. Работаем по Scrum, ценим высокий профессионализм, культуру общения и проактивность. В центр компетенций по аналитике мы ищем сильного коллегу – Senior System Analyst. Обязанности * проводить анализ потребности в функционале/фичей для повышения CSI фреймворка * формировать CJM и разрабатывать техническую архитектуру решения целевого функционала фреймворка * разрабатывать технические задания под фичи фреймворка * эффективно кросс-функционально взаимодействовать со смежными центрами-компетенций с целью разъяснить предлагаемую реализацию, согласовать решения в соответствии с ТЗ и обеспечить единое понимание требований всеми участниками * проводить research новой функциональности * заниматься тестированием разработанного функционала и проводить демо * формировать пользовательскую документацию. Требования * наличие высшего образования * знание Java/Python на уровне middle+ (умение читать код на Java или Python и умение аргументировано обосновывать технические и архитектурные решения перед командой и заказчиком) * опыт работы аналитиком * готовность заниматься разработкой ТЗ * опыт проектирования CJM, разработки HLD, LLD, ФТ/НФТ, ФД и ТЗ, опыт разработки или углубленное понимание микросервисов * понимание архитектур проектирования AI агентов, что такое Harness и как его собрать * опыт работы с Hadoop, Greenplum, Clickhouse, Spark, StarRocks, Flink и др. MPP Условия * офисный формат в Москве (ул.Поклонная, 3) * ежегодный пересмотр зарплаты и годовая премия * расширенный ДМС и льготное страхование для семьи * уникальная система обучения Сбера для профессионального и карьерного развития * выгодная ипотека для сотрудников * подписка Прайм с возможностью совместного использования на трёх близких * вознаграждение за рекомендацию друзей в команду Сбера * корпоративная пенсионная программа.

Location: Remote - US About Backblaze Backblaze is the object storage leader in the open cloud movement, fueling customer success with cloud storage built purposefully to unlock budgets, unburden administrators, and unleash innovators. Together with our partners, we’re helping customers break free from the restrictive, overpriced legacy solutions that hold them back, and blaze forward with the full power of the open cloud in their hands. Founded in 2007, we scaled the business with less than $3 million in outside funding until 2021, when we did a traditional IPO on the Nasdaq stock exchange. Today, Backblaze generates over $100m in revenue and is the leading specialized storage cloud, managing over three billion gigabytes of data storage for 500K+ customers in 175+ countries, including businesses, developers, IT professionals, and individuals. But while there is a lot to celebrate in our past, there is almost as much opportunity ahead of us. We’re seeking a B2 Principal Product Manager to join our team! About the Role We are seeking an ambitious and accomplished Principal Product Manager to join our Product team. Backblaze’s B2 cloud object storage offers multi-exabyte, S3-compatible, globally available object storage that unlocks app builder innovation across AI neoclouds and traditional hyperscalers at a fraction of the cost of traditional cloud infrastructure hyperscalers. The Principal Product Manager for B2 will work closely with key stakeholders to understand the evolution of cloud storage and the customer problems in the space, and determine product strategies and roadmap to address those problems. This person will work independently to lead efforts for new feature discovery and delivery, as well as improvements to execute on those strategies. Understanding customer problems through interviews and market research, and translating them into requirements, is critical. What You'll Do Drive B2 product strategy and roadmap development through delivery execution. Lead the end-to-end product development lifecycle from discovery through delivery in feature development. Gather and synthesize inputs for discovery and prioritization from internal functions, customers, and partners across the full spectrum of R&D development, including feature capabilities, user experience challenges, cost optimization, and technical debt. Translate complex customer challenges into clear, concise, and actionable product requirements in collaboration with Design, Engineering, and GTM teams. Collaborate with Product Marketing to launch and drive adoption of new products and features. Act as a subject matter expert and evangelist for Backblaze's solutions, presenting to customers, prospects, partners, and internal teams. Establish and track key product metrics (KPIs), using data to guide iteration and growth decisions. Maintain a deep understanding of the latest advancements in the object storage market, including customer use cases and competitive offerings, to identify new opportunities and ensure Backblaze’s market leadership position. The Right Fit 8+ years of Product Management experience in tech businesses, preferably on IaaS and/or SaaS offerings. A proven track record of successfully launching and scaling technical products or platforms in high-growth businesses involving in-depth cross-functional collaboration and leadership across R&D and go-to-market functions. Strong grasp of cloud architecture, APIs, and security and compliance. Proven success in owning product roadmaps, defining MVPs, and driving the complete product life cycle. Strategic thinker who can translate market trends, customer needs, and technical innovations into a clear product vision and actionable roadmap. Deep empathy for customers and users in gathering and synthesizing input, and a passion for solving their most pressing security challenges. Outstanding communication and leadership skills with a collaborative and team-oriented approach to identifying problems, determining potential solutions, and building consensus around your vision with internal and external stakeholders. Excellent written and verbal communication skills. Experience applying data and metrics to inform product decisions and measure success. Bonus Points For Expertise in cloud storage and computing from hyperscale and neocloud providers, such as AWS, Azure, GCP, GPU clouds, and CDNs. Bachelor's degree in Computer Science, Engineering, or a related field. MBA degree. Application development programming experience. Expertise in applying GenAI in solution prototyping and agentic workflow development. Backblaze Perks RSU grants for full-time employees. Annual company bonus plan. Healthcare for family, including dental and vision. 401K. ESPP program. Flexible vacation policy. Maternity and paternity leave. MacBook Pro for work, plus a generous stipend to personalize your workstation. Childcare bonus (human children only). Fertility treatment and support. Learning and development program. Commuter benefits. A culture that supports a healthy work-life balance. To provide greater transparency to candidates, we share base pay ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar-stage growth companies. Final offer amounts are determined by multiple factors, including candidate location, skills, depth of work experience, and relevant licenses or credentials, and may vary from the amounts listed below. The expected salary range for this role is $225,000 to $250,000. At Backblaze, we value being fair and good to our customers, partners, and employees. That’s why diversity, equity, and inclusion are at the core of our values. We are committed to fostering a workforce where all employees feel a sense of belonging regardless of race, ethnicity, nationality, gender, sexual orientation, age, religion, socio-economic status, ability, veteran status, and education. We believe that our dedication to cultivating a diverse workspace not only allows us to better serve our customers in over 175 countries, but further reinforces our commitment to doing the right thing. We are proud to be an Equal Opportunity Employer. To understand more about the data we collect and process as part of your application, please view our Backblaze Employee Privacy Notice.

Задачи: — разработка, обучение и оптимизация ML/AI-моделей на PyTorch и/или TensorFlow — проектирование end-to-end ML-пайплайнов — работа с LLM, NLP, Computer Vision и Generative AI — подготовка моделей к production и масштабированию — интеграция моделей с backend — оптимизация inference и производительности — построение MLOps-процессов — работа с Docker и cloud-инфраструктурой — принятие архитектурных решений и техническое руководство AI-командой Требования: — от 4 лет коммерческого опыта в Machine Learning / AI Engineering — практический опыт разработки и внедрения ML-моделей в production — уверенный Python — PyTorch и/или TensorFlow — понимание Machine Learning и Deep Learning — знание ML-метрик и методов оптимизации моделей — Docker, Git — AWS или аналогичные cloud-платформы — практический опыт с MLflow, Kubeflow, AWS SageMaker или аналогичными MLOps-инструментами — свободный английский язык Условия: — full-time — офис в Ташкенте — официальное трудоустройство по ТК Узбекистана — вилка от $3,500

Location: Hybrid - San Francisco, New York City About Vercel: Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience. Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. About the role We're looking for a Senior Recruiter to build our go-to-market teams. Vercel is defining what the web looks like in the AI era, and the people you hire will bring it to market. Recruiting is a product here, and building it means automating workflows, rethinking processes, and shipping with the newest AI models and agents, the same ones our engineers use. This is a hybrid role based in New York City or San Francisco, with three days a week in the office. What you'll do Run full-cycle searches for all roles you work on, from kickoff with the hiring leader to close Source candidates: proactively source, manage inbound, utilize your network and referrals to find and close top talent Use AI to ship automations, tools, workflows and resources for yourself and the team Be the expert in the room by utilizing market data, making clear recommendations, and pushing back when there is misalignment Partner directly with our executives and run every search like an executive search What you need 6+ years of full-cycle recruiting, including go-to-market roles such as sales, field engineering, and/or partnerships Experience hiring sourced candidates from your own direct outreach Proven use of AI tools in recruiting, with measurable speed or quality gains Technical curiosity, a pulse on the market and a bias for action Bonus if you Build AI tools, agents, or automations that redefined how you operate Recruited for a developer, infrastructure, or frontend company Compensation & Benefits: Competitive compensation package, including equity. Inclusive Healthcare Package. Learn and Grow - we provide mentorship and send you to events that help you build your network and skills. Flexible Time Off. We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed. The San Francisco, CA base salary range for this role is $176,000 - $215,000 plus annual bonus. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process. Disclosures: Privacy: Please review our Job Applicant Privacy Policy for more information on how we handle your data. Equal Opportunity: Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are seeking an experienced and strategic transactional attorney to join the IP team within our growing legal department. In this role, you will be responsible for the IP side of Anthropic's transactions, partnering with the M&A and commercial counsel who lead each deal. You will conduct IP diligence and negotiate IP terms for our acquisitions and investments, help advise on IP terms in our most complex commercial and research agreements, and drive the playbooks and processes that make our processes scalable. You will partner closely with the Head of IP (direct manager), our M&A and Commercial Legal teams, and Corporate Development on questions and issues that are very often new. Responsibilities Lead the IP workstream on acquisitions and strategic investments, from diligence through letters of intent, definitive agreements, closing, and integration, alongside our M&A counsel and outside counsel Partner with commercial counsel on the IP aspects of complex enterprise, partnership, research collaboration, and vendor agreements, advising on and negotiating IP terms Serve as the primary point of contact on IP terms for commercial legal and other colleagues, and help train them so they can resolve more IP questions on their own Drive the playbooks, templates, and processes that let a lean team handle IP terms across a high volume of deals Contribute to broader IP strategy, particularly where transactions intersect with open source, trade secrets, patents, or new business models Minimum qualifications Hold a law degree (JD, LLB, or equivalent) and meet the local licensing requirements to work as in-house counsel where you'll be based Have substantial experience leading IP due diligence and negotiating IP terms in technology M&A Have first-chair experience negotiating IP provisions in complex commercial technology agreements, such as licenses, joint development agreements, and services agreements Have the ability to communicate IP risks and tradeoffs clearly to business leaders and non-specialist lawyers, and to exercise sound judgment about when to hold a position Have strong working knowledge of open source licensing, employee and contractor IP assignment obligations, and trade secret protection Preferred qualifications 10+ years of transactional IP experience at a nationally recognized law firm, a technology company, or both Experience building negotiation playbooks, templates, or diligence processes that other lawyers relied on Experience with AI, machine learning, data licensing, or other emerging technology Curiosity about AI and a commitment to its responsible development The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $335,000 — $385,000 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. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is seeking a Privacy Counsel to join our Legal team. You'll counsel on complex privacy issues and build the processes and programs that address privacy and data protection in a global context. This is a unique opportunity to join a dynamic and growing team, where you will have the chance to shape the company's privacy and data protection strategy and compliance program. You will work at the intersection of novel legal questions, fast-moving product development, and a high-profile regulatory environment, partnering cross-functionally with Legal, Integrity & Compliance, Safeguards, Security, Policy, Research and Product. Key responsibilities Counsel product, research and engineering teams across the model and product lifecycles, applying laws written before frontier AI with clarity and fresh thinking Translate complex technical architecture into clear, actionable risk advice Deliver integrated guidance on safety, security and data protection Lead privacy on Anthropic's most strategic deals and partnerships, opening creative paths for novel technologies Negotiate privacy and data protection terms in enterprise, platform and partnership commercial agreements, including DPAs, BAAs, data sharing agreements and cross-border transfer terms Lead privacy diligence on mergers and acquisitions, and support corporate governance Collaborate closely with counsel and privacy colleagues on joint analysis, bringing competing views together into a single, well-reasoned position Minimum qualifications Hold a law degree (JD, LLB, or equivalent) and meet the local licensing requirements to work as in-house counsel where you'll be based Hands-on experience advising a technology business (in-house or at a leading law firm) on privacy and data protection Experience drafting and negotiating data protection agreements, such as DPAs, BAAs and data sharing agreements Working knowledge of key global privacy laws, including those of the Americas, EEA and APAC Ability to read and engage with technical documentation, such as system designs and architecture diagrams Excellent legal writing, including clear, concise advice Preferred qualifications At least 8 years of privacy and data protection legal experience Deep familiarity with software and model development and architecture Proven ability to build privacy processes, playbooks and templates that scale with a fast-growing business Direct engagement with privacy regulators, including providing briefings and responding to inquiries Privacy and data protection work on mergers, acquisitions, and similar transactions Background advising safety, security or trust and safety teams, including on privacy incidents and notification decisions Role-specific policy: For this role, we expect all staff to be able to work from our San Francisco or New York office at least 3 days a week, though we encourage you to apply even if you might need some flexibility for an interim period of time. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $265,000 — $335,000 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. 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 About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's Legal team is looking for an experienced litigator to join our Litigation and Regulatory team. You'll manage a broad docket of litigation files and pre-litigation disputes with a high degree of autonomy, advise the business on litigation risk, and help build the systems and processes that let a growing litigation function operate well at scale. The matters you'll handle span intellectual property (particularly copyright), class actions, commercial disputes, and could include securities and shareholder disputes, in both first-party and third-party matters, in the U.S. and abroad. You'll partner closely with colleagues across Legal and teams throughout the company to resolve matters thoughtfully and with minimal disruption to the business. You may also support regulatory investigations and inquiries as needed. Key responsibilities Manage a broad range of litigation matters that could include intellectual property (particularly copyright) matters, class actions, regulatory and commercial disputes, and securities cases Direct outside counsel across all stages of litigation, from pre-suit response through discovery, dispositive briefing, trial or resolution and appeal, with a focus on strategic decision-making and filing excellent legal briefs Manage small disputes and escalations to limit business friction and minimize risk Advise company leadership and cross-functional partners on litigation risk, and develop appropriate strategic litigation plans, including matter-resolution proposals Design and implement processes, policies, and tools that help the litigation and regulatory team handle matters efficiently and at scale, such as matter intake, outside counsel budgeting, contingency reporting, and pre-litigation escalation run books Work cross-functionally to gather information efficiently and evaluate risk Support responses to regulatory investigations and inquiries as needed Stay up to date on relevant laws, litigation trends, and AI-related case law, and share developments with key stakeholders Mentor and develop team members through hands-on work on active matters Minimum qualifications Hold a law degree (JD, LLB, or equivalent) and meet the local licensing requirements to work as in-house counsel where you'll be based Have litigated some combination of copyright, class action, securities, and regulatory matters Have broad experience handling complex civil litigation, with deep knowledge of litigation practice and procedure, discovery, and federal and/or CA state court rules Have managed litigation matters with significant independence, including setting case strategy, managing discovery, writing and improving legal briefs, and directing outside counsel Write and communicate clearly, with the ability to explain litigation risk and strategy, particularly for non-legal audiences at all levels of seniority Exhibit poise and judgment under pressure while balancing legal risk with business priorities Preferred qualifications At least 12 years of litigation experience with a combination of experience at a global-focused law firm and in-house Experience representing technology companies, particularly companies working in emerging technologies Experience building systems, processes, or tools for an in-house legal team, such as matter management, outside counsel budgeting, or litigation reporting Experience managing regulatory responses or investigations, including both first-party and third-party responses Creativity and openness to novel solutions when advancing business priorities while addressing legal risk Ability to think and work quickly, have a flexible risk tolerance, and a good sense of humor Low ego and a real willingness to roll up your sleeves to solve problems whether mundane or complex A thoughtful and empathetic colleague who works well with legal colleagues, outside counsel, and business partners A genuine interest in the development of AI that is both innovative and trustworthy, including the opportunities it creates and the risks and limitations that must be addressed Role-specific policy: For this role, we expect all staff to be able to work from our San Francisco office at least 3 days a week, though we encourage you to apply even if you might need some flexibility for an interim period of time. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $385,000 — $460,000 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. 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.

About Magic Eden and Dicey Magic Eden reached unicorn status in just 9 months after launch, one of the fastest in history. They built a category-defining NFT marketplace from scratch and are now developing Dicey, a crypto casino and sportsbook platform targeting the $180B+ iGaming and sports betting markets. The team is small and fully remote, focusing on fast shipping, data-driven decisions, and rebuilding growth operations around AI. The role The position focuses on personalized retention in the iGaming industry, owning the full post-signup journey. Responsibilities include expanding the player segmentation framework, designing and running targeted offers and campaigns, and managing the associated P&L lever. The role is explicitly AI-native, involving building workflows, agents, and pipelines to run lifecycle campaigns efficiently. Half the job is problem identification, the other half is running experiments to find solutions. What you'll do — Own retention and monetization as a growth loop, setting targets, finding leverage, and driving post-signup metrics — Own and evolve the player segmentation framework, deciding signals and company usage — Build the AI-native growth stack including analysis, agents, and automated pipelines for segment surfacing, offer generation, and campaign execution — Design and ship targeted offers such as reload bonuses, lossback, wager bounties, challenges, and win-back sequences; size, specify, ship, and measure them — Analyze data warehouse and on-chain data to find patterns and create campaigns proactively — Expand player signals including on-chain activity, status-match programs, social account linking, and others — Run campaigns across channels like email, in-app, Telegram, with AI handling heavy lifting — Collaborate with engineering and design to create product surfaces that enable repeatable processes What they're looking for — Strong intuition for player psychology and incentive design; experience in gambling, gaming, fintech, or consumer marketplaces is helpful — Deep analytical skills, able to independently perform cohort analyses without waiting for data scientists — AI-native mindset, already using AI to write queries, build analyses, and automate work, with desire to advance further — High output with good judgment, generating many ideas and prioritizing tests effectively — Bias to do it yourself, comfortable executing emails, queries, and specs personally — Comfortable with ambiguity and building new playbooks Backgrounds that tend to fit — Growth PM at data-heavy consumer companies — MBB consultants transitioning to product ownership — Product-minded data scientists or analysts focused on shipping rather than reporting Why this is interesting — Competitive, top-of-market compensation — Defining the role of a growth PM in an AI-native company without existing playbooks — Early involvement in personalized retention, a key industry trend — Real ownership of segmentation framework, product surface, and P&L lever with direct access to founders

Location: United States Action1 is an autonomous patch management platform trusted by many Fortune 500 companies. Cloud-native, infinitely scalable, highly secure, and configurable in 5 minutes, it just works and is always free for the first 200 endpoints, with no functional limits. By pioneering autonomous OS and third-party application patching, Action1 helps organizations eliminate routine work, reduce ransomware and security risks, and protect the digital employee experience. It provides real-time vulnerability assessment and remediation across remote and on-site endpoints without requiring a VPN, while peer-to-peer patch distribution reduces bandwidth use on local networks. In 2026, Action1 was recognized as the fastest-growing founder-led cybersecurity company in America on the Inc. 5000. Action1 is led by industry veterans Alex Vovk and Mike Walters, American entrepreneurs who founded Netwrix, which has grown into an industry-leading, multibillion-dollar cybersecurity company. We are looking for a Dev Manager to lead the engineering team responsible for Executive Reporting. You will combine engineering leadership with hands-on technical expertise to help customers understand patching and vulnerability trends over time through reliable reports and dashboards. What you'll do: Lead and develop a team of engineers, providing technical direction, mentoring, and regular feedback. Own delivery outcomes within the agreed scope, provide practical estimates, and make capacity and priority trade-offs visible. Work with Product Management and the EVP to define priorities and translate customer needs into executive reporting capabilities. Oversee the design, development, and operation of reporting capabilities, including: - Historical reporting on patches and vulnerabilities. - The Enterprise Reports Engine and reusable report execution capabilities. - Dashboard services for presenting trends and status to decision-makers. - Data aggregation and consistent calculation of reporting metrics. - Report generation, scheduling, and export workflows. Guide technical decisions within the assigned domain, from solution design through development and production rollout, while coordinating cross-cutting architecture and security decisions with their designated owners. Establish clear definitions for metrics, reporting periods, data freshness, and missing data so customers can interpret results accurately. Coordinate with Product Value and core engineering teams on source data, reporting content, access controls, and shared infrastructure. Own automated pipelines for building, testing, validating, and deploying reporting services. Improve reporting accuracy, query performance, reliability, and observability as customer data volumes grow. Apply AI technologies where they improve reporting development, validation, or interpretation. Requirements What we're looking for: Experience leading software engineers and owning the delivery and operation of production systems. Strong software engineering fundamentals and the ability to contribute to technical problem-solving. Excellent knowledge of Node.js, JavaScript, and TypeScript. Experience building and operating AWS services in production. Hands-on experience with reporting platforms, analytics services, or data-intensive applications. Proficiency in SQL and experience with data modeling, aggregation, and query performance. Understanding of historical data, metric consistency, and data-quality validation. Strong communication skills and the ability to align engineering work with product priorities. Professional working proficiency in English for leading an English-speaking team and collaborating across functions. Nice to have: Experience writing automated tests for data pipelines, reporting calculations, and report generation. Experience with dashboard engines, scheduled reporting, and large data exports. Experience with patch management or vulnerability reporting. Experience with runtime isolation and sandboxing for sensitive execution. Experience in B2B SaaS, security, compliance, or data governance. Experience building high-load products that support large numbers of endpoints. Benefits Fully remote work with flexibility to support your work-life balance. A collaborative environment that empowers you to own your domain and implement best practices. Stable income, benefits, flexible working hours, and opportunities for career advancement. Friendly, professional colleagues who are eager to support you and help you grow. Engaging challenges and opportunities to make a meaningful impact.

Location: Dubai, United Arab Emirates; Cairo, Egypt; New Delhi, India; Riyadh, Saudi Arabia We are looking for an experienced SAP Project Manager / Solution Architect to lead and oversee SAP cloud transformation projects. The ideal candidate should have strong SAP architecture knowledge, proven project management experience, and hands-on experience delivering SAP cloud implementations or migrations. Key Responsibilities: Lead end-to-end SAP cloud implementation, migration, and transformation projects. Define and oversee the overall SAP solution architecture in alignment with business and technical requirements. Manage project scope, timelines, budgets, resources, risks, and deliverables. Work closely with business stakeholders, technical teams, SAP consultants, and third-party vendors. Design scalable and secure SAP cloud solutions and ensure alignment with SAP best practices. Provide technical leadership and guidance throughout the project lifecycle. Ensure successful integration between SAP and other enterprise/cloud platforms. Identify technical risks, dependencies, and potential issues and develop appropriate mitigation plans. Coordinate with SAP and cloud technology teams to ensure smooth implementation and go-live. Ensure project documentation, architecture documentation, and technical standards are maintained. Support presales activities, solution design, estimations, and client presentations when required. Requirements: Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field. 8+ years of experience in SAP , with significant experience in SAP implementation/transformation projects. Proven experience as an SAP Project Manager, SAP Solution Architect, or in a combined Project Manager / Solution Architect role . Strong experience with SAP Cloud solutions and cloud transformation projects . Experience with SAP S/4HANA Cloud and preferably SAP BTP. Strong understanding of SAP architecture, integrations, security, and cloud technologies. Experience managing complex SAP projects from planning through implementation and go-live. Excellent stakeholder and client management skills. Strong communication and leadership skills. Mandatory Certification: Valid SAP Cloud certification is mandatory. Candidate must hold a recognized and current SAP cloud certification , preferably related to SAP S/4HANA Cloud, SAP BTP, or SAP Cloud Architecture . The candidate must be able to provide a valid copy/certificate number as proof of certification . Preferred: SAP Activate certification. PMP or PRINCE2 certification. TOGAF or other enterprise architecture certification. Experience with SAP BTP, integrations, APIs, and cloud security. Experience working on large-scale SAP transformation programs.

Location: Dubai, United Arab Emirates; Abu Dhabi, United Arab Emirates; Sharjah, United Arab Emirates; Ras Al-Khaimah, United Arab Emirates; Fujairah, United Arab Emirates; Umm Al Quwain, United Arab Emirates Apt Resources is excited to announce an opportunity for a Classic Car Mechanic at a prestigious Luxury Classic Auto Studio. If you have a passion for vintage automobiles and a strong background in automotive repair and restoration, this is the perfect position for you. In this role, you will be responsible for maintaining, repairing, and restoring classic cars to their original condition or even better. You will have the chance to work on some of the most exquisite vehicles and be part of a team that values craftsmanship and attention to detail. Responsibilities Conduct thorough inspections and diagnostics of classic vehicles to identify any issues. Perform restoration and repair work on engines, transmissions, brakes, and other critical components. Fine-tune and adjust various systems to ensure optimal performance and authenticity. Utilize specialized tools and equipment to execute high-quality repairs. Maintain accurate records of work performed, parts used, and any job estimates. Work alongside team members to meet project deadlines and ensure customer satisfaction. Stay updated on industry trends, techniques, and classic car restoration methods. Requirements Proven experience as a mechanic, with a strong focus on classic cars and vintage vehicles. In-depth knowledge of automotive systems, including engines, drivetrains, and electrical systems. Experience with restoration techniques and a keen eye for detail. Ability to use diagnostic tools and specialized equipment effectively. Strong problem-solving skills and the ability to work independently. Excellent communication and teamwork skills. A genuine passion for classic cars and maintaining their authenticity and value. Valid driver's license and ability to work flexible hours if required. Benefits As per market standards.

Location: San Ramon, United States A bit About Flosum: Flosum occupies the vanguard of technological innovation within the Salesforce DevOps arena, proffering a comprehensive solution that seamlessly integrates merge tools, version control, continuous deployment, and meticulous code analysis. In addition, Flosum boasts Enterprise-grade Disaster Recovery Solutions, complemented by a game-changing Cybersecurity framework meticulously tailored for Salesforce Programs. This framework has been astutely harnessed to amplify the DevSecOps paradigm in collaboration with our esteemed Partners. Our well curated suite of products harmonizes seamlessly within the expansive Salesforce ecosystem, catering to the needs of Developers, Administrators, Architects, and Chief Information Officers. If the notion of contributing to a progressive enterprise equipped with proven offerings within a rapidly evolving market beckons you, this extraordinary opportunity awaits your consideration. A bit About You: You’re a dynamic, results-driven individual with a fervor for technical sales and an innate grasp of SaaS Customer Account Management. You have experience selling to technical buyers and working with resellers, VAR’s, and channel partners. You’re an ambitious Account Executive with a proven track record over 5+ years growing revenue within Enterprise customer accounts with a customer-centric approach. You thrive working remotely, cherish structured routines, and exemplify a professional demeanor. You are highly organized and thrive in a high-velocity environment that, although reasonable and respectful, often has ambiguities and competing priorities. You are internally driven by curiosity and continuous learning. You have proven that you can be entrusted with big decisions, and you strive to bring thoughtfulness and empathy to all of your work. You are humble, and collaborate well with other people. You thrive working within a team, and exhibit excellent communication and interpersonal skills. You are self-motivated, reliable, and can function effectively in a distributed team. Available to travel up to 25%. Multilingual proficiency to elevate global engagement is a distinct advantage. Bonus Points for: Certified Sales Certifications & demonstrated ability to consistently achieve $1mm+ quotas. Expertise in Salesforce platform support, development or CyberSecurity. Background in project or product management. Experience in process design and documentation. Prior exposure to DevOps solutions. Within 1 Month, You'll... Complete orientation. Begin 1:1s with your manager. Meet with other team members and stakeholders in Sales, Customer Success, Solutions Engineering, Business Development, Partnerships and Operations. Introduce yourself to your accounts. Listen and learn from shadowing calls of your peers. Develop your Flosum 30 / 60 / 90 day plan. Within 3 Months, You'll... Have a strong understanding of Flosum and feel comfortable pitching our software and services. Become an expert with our internal tools and processes. Work closely with Business Development reps to collaborate on prospecting into your accounts. Within 6 Months, You'll... Meet or exceed your pace to quota. Continue to focus on the objectives within your annual plan. Navigate and execute most aspects of your role independently. (though help is always available) Within 12 Months, You'll... Be seen as a trusted business-advisor and Flosum expert, making a significant impact on the Sales Team. Be considered a top-performing AE on the team by consistently exceeding your goals. Set an example for new Account Executives and assist in the training, onboarding and motivating new team members. Requirements In the role as an Enterprise Account Executive, you will: Build relationships with prospective enterprise-level clients. Leverage the following strategic sales motions: Strategic Account Planning Account Based Sales (ABM) Tailored Sales Automation Drip Campaigns (Salesloft / Outreach.io) Embrace Enterprise GAP / Value / Solution Sales Methodologies Execute Upsell / Cross-Sell / Nurture / GTM / Awareness Sales Campaigns Construct and Deliver Interactive Growth Presentations and Proposals Deliver exceptional Customer Experiences  with new clients, ensuring their triumphant onboarding. Engage stakeholders proactively, addressing strategic, technical, and soft skill aspects. Sustain value through structured cadences, encompassing business, process, onboarding, and technical discussions, alongside webinars and other communications. Convey the value of our products through innovative approaches. Drive the adoption of novel features and enhancements, perpetuating growth. Conduct Quarterly Business Reviews and interactions grounded in value with clients. Oversee the complete customer lifecycle, including escalations and touchpoints. Amass insights and recommendations from clients to inform product refinement. Exemplify thought leadership and orchestrate customer advocacy. Create client-facing materials, including support articles, FAQs, release notes, and contribute to customer / GTM webinars. Rigorously document and classify client interactions for valuable insights. Benefits Join Us at Flosum Become an integral part of an environment that empowers excellence, irrespective of your location. As a globally distributed company, we champion equal opportunity and nurture a culture of collaboration. Embark on a journey of growth and innovation by applying now. Competitive Compensation Package Health Benefits including Vision and Dental HSA & FSA 401(k) Unlimited Flex Time Off Plan + All Major U.S. holidays Flexible Work Hours Remote Work Location Phone / Internet Monthly Capped Reimbursement

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is dedicated to developing AI assistants that are helpful, harmless, and honest. As usage of our AI services grows, we need to ensure they are not misused. The Safeguards team is at the forefront of protecting our users from the risks of powerful AIs as well as ethical, technical, and social risks from the use of generative AI. The Safeguards team at Anthropic builds protections for new AI features enabled by the research teams and protects new products and surfaces developed by our product teams. As a Product Manager for the Safeguards team at Anthropic, you will own the ideation, design, development and deployment of Safeguards systems and relevant product UX to ensure we are advancing frontier models safely to users across various cloud platforms. You will work closely with our research and product teams to develop detections, evals, interventions, and tools to measure and mitigate deployment and user risks. We are looking for a product manager who is deeply committed to making AI safe and beneficial for humanity.  You are aware of the risks and are committed to working with experts and coming up with ideas for Anthropic to implement. You have deep technical expertise in development, deployment and measurement of Safeguards systems. You thrive in rapidly moving and ambiguous environments. Responsibilities Determine how to build in safety by design upstream and leverage downstream defenses for Anthropic’s frontier models, AI products, customers on different surfaces - Claude.ai, 1P API, external Cloud providers. Ability to write safety evals and communicate externally about safety. Drive impact via ruthless prioritization by clearly defining problems, solution options forward, clarity on both business & technical tradeoffs and accordingly clear requirements toward MVP vs. ideal state. Align & collaborate with policy, enforcement, research, engineering and cross functional stakeholders. Understand the AI landscape and ecosystem to plan for mitigation of deployment risks of increasingly powerful models and determined adversaries. Lead the development of metrics to understand the area, performance, blindspots to help inform future project planning. Minimum Qualifications You may be a good fit if you have: Ability to make technical tradeoff decisions; ideally with experience working across policy experts, AI/ML research engineers and software engineering teams to design and build state of the art safety systems. Strong user understanding of how our products are used, their Safeguards concerns and how we provide the best solutions. Demonstrated ability to build product and engineering strategy across multiple cross-functional teams for a rapidly changing space. Demonstrated experience in designing and building metrics to evaluate risks, system performance, user impact and making crisp tradeoffs Very strong ability to navigate, and prioritize amidst rapidly changing product specs, and to flex into different domains to bring clarity and execute. Evidence of exercising judgment and decision making in ambiguous situations. Planning, building, launching and measuring new products / systems in a zero to one environment. Ability to clearly articulate complex technical concepts to non-technical audiences in written and verbal communication. Think creatively about the risks and benefits of new technologies, and think beyond past checklists and playbooks. Preferred Qualifications 5+ years in product management with a focus on fast problem understanding, building roadmaps with tractable progress, ability to get into the details on data, detection & interventions, infrastructure & tools, and/or evals. 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: $385,000 — $460,000 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. 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.