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.
Seoul, South Korea; You will need to coordinate internally across multiple teams and stakeholders, including global teams across time zones, to drive customer success
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.
Москва
JКомпания не указана
Управление вакансиями скоро появится
Скрытые компании и отметки о просмотре ещё не подключены.
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
УдалённоmiddleГеография найма не уточнена
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
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.
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
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.
Location: Denver, Colorado, United States, AMER
From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.
About Us
Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions.
As we bring our teams and technology together, we’re building on both companies' strengths while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites.
About the Role
Fivetran is building data pipelines to power the modern data stack for thousands of companies.
We’re looking for a
Pricing & Order Operations Analyst
to join our Order Operations & Monetization team. This role restores dedicated capacity for pricing and order operations testing, quote-to-cash (QTC) release validation, and order execution support.
You’ll help ensure system changes are tested, validated, and operationally ready before they go live. You’ll provide Pricing and Order Operations subject-matter expertise and execute assigned business validation across signature packets, bookings, marketplace offers, and booking-to-order management handoffs. This role partners closely with Order Operations & Monetization, IT’s business systems team, Pricing Operations, Sales, and Deal Desk.
Reporting & Prioritization
Reports to the Order Operations & Monetization lead, Jamie Calkins.
The Senior Pricing Operations Manager may help prioritize pricing-related test cases and QTC issues tied specifically to pricing and quoting.
The Order Operations & Monetization lead owns final prioritization of the analyst’s workload across order operations, assigned non-pricing UAT participation, and pricing-related support work.
This is a hybrid role, 1-2 days in the office.
Technologies You’ll Use
Salesforce CPQ
Jira
Suger and marketplace user interfaces, including AWS, Azure, GCP, and Snowflake
Notion
Metronome
Hex
What You’ll Do
Pricing Operations & QTC Support
Support pricing operations changes through business requirement review, data validation, configuration checks, and documentation, helping ensure pricing logic is accurately reflected in QTC workflows.
Validate pricing-related QTC changes across quoting, approvals, discounting logic, product configuration, and downstream order execution.
Help confirm that pricing changes are operationally ready before launch, including impacts to Sales, Deal Desk, Order Operations, Billing, Revenue, and marketplace workflows.
Partner with the Senior Pricing Operations Manager to prioritize pricing-related test cases, identify gaps in business requirements, and document expected system behavior.
Help maintain documentation for pricing- and order-related system configurations, known dependencies, and release-readiness criteria.
UAT & Testing
Participate as a Pricing and Order Operations subject-matter expert in UAT project-managed by Technical Program Management (TPM) and executed under RevOps coordination, ensuring relevant business scenarios and expected outcomes are represented.
Execute assigned Pricing and Order Operations test cases and collaborate with the GTM subject-matter experts identified by RevOps.
Partner with RevOps and relevant subject-matter experts to develop and maintain Pricing and Order Operations test cases, including scenarios for quoting, approvals, signature packets, bookings, marketplace offers, billing, and order management.
Document test results and defects with clear traceability from business requirement to test outcome, and provide domain-specific readiness input through the established UAT sign-off process.
Maintain the Pricing and Order Operations portion of the regression test suite for recurring QTC changes.
Order Operations
Operate under defined business requirements for order operations rules within the QTC flow, validating execution across signature packet generation and e-signature routing, booking rules, marketplace offer configuration—including AWS, Azure, GCP, and Snowflake—and the booking-to-order management handoff.
Partner with IT’s business systems team and the Proposal-to-Order Lead to keep order operations rules aligned with upstream pricing and quoting logic and downstream billing and revenue systems.
Ensure signature packets and marketplace offers accurately reflect the underlying order and pricing terms before execution.
Identify and troubleshoot order operations issues across bookings, signature packets, and marketplace offers, escalating systemic problems to the appropriate system owner.
Skills We’re Looking For
2–3 years of experience in pricing operations, order operations, business systems analysis, or quality assurance within an agile environment, ideally involving quote-to-cash processes.
Working knowledge of Salesforce CPQ and order management or billing systems, with the ability to read and understand configuration logic without necessarily building it directly.
Strong attention to detail and comfort performing structured, repeatable testing work.
Comfort using conversational AI tools—such as Claude, ChatGPT, or internal chatbots—to support daily and project work, combined with sound judgment about when human review or decision-making is necessary.
Clear written communication skills, with the ability to document test cases, defects, and sign-off criteria for technical and business audiences.
A proactive, organized approach, with the ability to work across IT, Pricing and Order Operations, and Sales and Deal Desk with minimal oversight.
Bonus Skills
Exposure to Revenue Recognition or Professional Services systems and processes.
#LI-REMOTE
#LI-MM1
The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role. Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process.
Denver Pay Range
$104,036
—
$124,848 USD
Perks and Benefits
100% employer-paid medical insurance
*
Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off.
RSU stock grants*
Professional development and training opportunities
Company virtual happy hours, free food, and fun team-building activities
Monthly cell phone stipend
Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents.
*
May vary by country and worker type - please reach out to your recruiter for more information
Click
here
to learn more about Fivetran's Benefits by Region.
We’re honored to be
valued at over $5.6 billion
, but more importantly, we’re proud of our
core values of Get Stuck In, Do the Right Thing, and One Team, One Dream
. Read about us in
Forbes
.
Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities.
To learn more about Fivetran’s culture and what it’s like to be part of the team,
click here
and enjoy our video.
To learn more about our candidate privacy policy, you can
read our statement here
.
We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this
form
. We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.
Location: New York City (Hybrid)
ABOUT ONEPAY
OnePay is the consumer fintech trusted by millions of Americans to make money better.
Our financial system is broken. High fees, low rates, and too few ways to actually grow your money. We’re fixing it. And we’re moving fast.
We’re an all-in-one financial services platform that brings together banking, high-yield savings, credit cards, point-of-sale lending, investing, and crypto in one place. We also partner with employers, HCM providers, gig platforms, and others to deliver embedded financial services to millions of employees and frontline workers.
We’re backed by Walmart, the world’s largest retailer, and Ribbit Capital, one of fintech’s most respected investors, giving us rare scale, distribution, and the opportunity to build something truly category-defining.
But what really sets OnePay apart is how we move. Our customers don’t have time to wait… and neither do we. This place moves fast, and we’re looking for people who are:
- Ready to run
- Hungry and driven by urgency
- Exceptional at what they do, with low ego
- Comfortable operating in motion
THE ROLE
As a Design Intern at OnePay, you’ll work alongside the Design team to support product discovery, competitive analysis, interaction design, prototyping, and design systems work across active initiatives. You’ll gain hands-on exposure to how a fast-moving fintech builds and scales product design.
- Team Integration: You’ll be paired with Design team members and work alongside Product and Engineering partners, with opportunities to collaborate with Analytics. You’ll participate in design reviews, critiques, product discovery, and competitive analysis.
- Real-World Projects: You’ll support product discovery, competitive analysis, interaction design, and prototyping, and contribute to our design system while working on real product surfaces from concept through execution.
- Skill Building & Career Growth: Throughout the internship, you’ll attend workshops focused on technical skills, resume building, interview prep, and professional development. You’ll also have the chance to engage with company leadership during networking events.
- Mentorship: Receive guidance and feedback from your manager, as well as a dedicated mentor who will help you navigate your internship experience, ensuring continuous learning and growth.
YOU BRING
- In Your Final Year of Undergrad: You’re a current Bachelor’s student expected to graduate in Fall 2027 or Spring 2028, majoring in Design, HCI, Interaction Design, Visual Design, or a related field.
- Prior Experience: You’ve completed at least one previous internship, or have built a portfolio of substantial personal or academic design projects you’re excited to talk through.
- Availability: This is a full-time, 8-week program running June 21 - August 13, 2027. You are available to work in our New York City office at least 3-4 days a week throughout the entire program.
- Proactive & Collaborative Attitude: You have an act-like-an-owner mentality, thrive in a fast-moving environment, and enjoy working with others to achieve collective goals.
- Critical Thinking & Problem-Solving Skills: You enjoy tackling complex challenges, analyzing problems, and developing solutions. Clear communication of ideas is one of your strengths.
- Organized & Detail-Oriented: You’re a keen listener with strong organizational skills, capable of managing multiple tasks efficiently.
- Excited to Learn & Grow: You are passionate about being part of a rapidly growing organization and look forward to expanding your skills in a real-world setting.
WHAT WE OFFER
- Early access to a high potential, high growth fintech
- Hands on experience
- Beautiful NYC SoHo Office
- Professional development and team social outings
PROGRAM & APPLICATION TIMELINE
- Program runs June 21 - August 13, 2027 (8 weeks, full-time, in our NYC office)
- We review applications and conduct interviews on a rolling basis as they come in
- No offer decisions will be made until the application window closes – all candidates are evaluated together before final decisions go out
- We are targeting a finalized cohort by December 1, 2026
- If there are intern spots still available, we may reopen applications in Spring 2027
Work Authorization: OnePay will not sponsor applicants who need employment sponsored visas for this position. Future sponsorship will not be considered.
STANDARD INTERVIEW PROCESS
Our process varies by role. Most candidates go through:
- AI-assisted initial screen
- Interview with Talent Partner
- Technical or Hiring Manager Interview
- Team Interview
- Executive Interview
- Offer!
EQUAL EMPLOYMENT OPPORTUNITY
To build technology and products that are used and loved by people and solve real-world problems, we need to build a team with many different perspectives and experiences. We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We encourage candidates from all backgrounds to apply. Applicants in need of special assistance or accommodation during the interview process or in accessing our website may contact us at talent@onepay.com.
УдалённоRemote - US
seniorExperience hiring sourced candidates from your own direct outreach
География найма не уточнена
География найма не уточнена
San Francisco, CA
УдалённоseniorГеография найма не уточнена
УдалённоUnited States
УдалённоDubai, United Arab Emirates; Cairo, Egypt; New Delhi, India; Riyadh, Saudi Arabia
УдалённоSan Ramon, United States
География найма не уточнена
Denver, Colorado, United States, AMER
СтажёрNew York City (Hybrid); We encourage candidates from all backgrounds to apply; Applicants in need of special assistance or accommodation during the interview process or in accessing our website may contact us at talent@onepay.com