Location: New York City, NY; New York City, NY | Seattle, WA; Remote-Friendly, United States; San Francisco, CA | New York City, NY | Seattle, WA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Anthropic is looking for Software Engineers to join the Memory & Search team. We own how Claude remembers you and how it finds what it needs, across Claude.ai, Cowork and Claude Code. That spans the user-facing experience (what Claude remembers, how people see and edit it, how search surfaces the right conversation) and the shared infrastructure underneath it, the memory service, indexing, retrieval and vector search.
Memory is one of the biggest levers on whether Claude feels like it knows you. We recently moved memory from a periodically synthesized summary to a dynamic, editable, on-demand system, and then unified it so the same memory follows you across products. Search went from a top user complaint to something people rely on to find past work. The platform is now in place, and the next phase is finding the product form factors that make memory the most compelling and sticky part of using Claude.
That is why we are hiring product engineers. The team is strong on infrastructure, and we want people who have shipped user-facing products at scale, have a sharp sense for what makes a product feel good, and have built agentic systems where the model, the tools and the user interface have to work together. You will run short, demo-driven experiments on top of the memory and search stack, decide what to keep based on real usage, and help the whole team think like a product team. If you have founded a company, been an early engineer at a startup, or taken a product from zero to one, you will recognize the way we want to work.
This is a trust-sensitive surface. Memory touches privacy, consent and enterprise controls, so you will work closely with product, design, privacy, legal and safeguards, and you will be expected to treat those constraints as part of good product design rather than obstacles to it.
Key responsibilities
Design, build and ship memory and search experiences in Claude.ai, Cowork and Claude Code, owning them end to end from the backend service through the model's tools to the user interface
Run product experiments on the memory and search stack: form a hypothesis, build a demo, put it in front of real users, measure, and make a clear persevere-or-pivot call
Shape how Claude uses memory and retrieval inside its agentic loop, including what the model stores, when it searches, how results are ranked and presented, and how the user stays in control
Define and track the metrics that tell us whether memory is actually making Claude more useful, and build the evaluations that keep quality honest as the system evolves
Improve search relevance and recall across conversations and memories, working across embeddings, hybrid retrieval and ranking as well as the interface that presents results
Partner with product, design, privacy, legal and safeguards to ship features that respect user consent and enterprise requirements such as customer-managed encryption keys and data retention policies
Raise the bar on product quality for the team through design reviews, code reviews and the standards you set for latency, polish and reliability
Share the on-call for the systems you own
Minimum qualifications
Experience building and operating user-facing products used by a large number of people, including the backend services behind them
Experience building agentic systems or LLM-powered products, including tool use, retrieval and prompt or context design
Strong programming skills in Python and TypeScript, with experience across backend services and web front ends
A track record of taking a product or feature from an idea to launch, and iterating on it based on usage data and user feedback
Experience defining product metrics and running experiments to make decisions
Strong product judgment: you notice when something feels off and you fix it, and you can explain why a design choice matters to users
Strong written and verbal communication, with experience working closely with product managers, designers and non-engineering partners
Interest in AI safety and Anthropic's mission
Preferred qualifications
Experience as a founder, early-stage engineer, or someone who has taken a product from zero to one
Experience building search or retrieval systems: embeddings, vector search, hybrid lexical and semantic retrieval, or ranking
Experience building evaluations for LLM or ML systems, or measuring the quality of retrieval and ranking
Experience on consumer products with strong retention, or on personalization systems
Experience shipping features that handle sensitive data or meet enterprise requirements such as customer-managed encryption keys, data residency or HIPAA
Experience with latency-sensitive, performance-critical product work
Experience mentoring engineers or setting technical direction for a team
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$405,000
—
$485,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
New York City, NY; New York City, NY | Seattle, WA; Remote-Friendly, United States; San Francisco, CA | New York City, NY | Seattle, WA
Обязанности:
— проводить ручное тестирование (функциональное, UI, UX);
— разрабатывать автоматизированные тесты;
— проводить функциональные, регрессионные, интеграционные и другие виды тестирования;
— регистрировать, отслеживать и локализировать дефекты (в том числе интеграционные);
— взаимодействовать с разработчиками, аналитиками и менеджерами продукта, участвовать в создании продукта на всех этапах;
— формировать тестовую документацию;
— анализировать и оптимизировать процессы тестирования.
Стек технологий:
Java, Spring Framework;
Typescript, React;
PostgreSQL;
Kubernetes;
Yandex Cloud;
Gitlab.
Чем Вам предстоит заниматься:
Разрабатывать платформу для решения NP-hard задач оптимизации для клиентов из разных отраслей.
Плюсом будет:
— опыт работы с Selenium/Playwright;
— умение использовать базовые инструменты командной строки Linux;
— знание Git на базовом уровне;
— умение писать тесты для автоматизированного тестирования API;
— знание SQL и принципов организации реляционных БД.
Будем рады предложить вам:
— конкурентный уровень заработной платы;
— гибридный формат работы, возможность полной удалённой работы;
— систему премирования за научные достижения, публикацию статей, регистрацию патентов и выступления на конференциях;
— «Лекторий», в рамках которого приглашенные эксперты и наши специалисты на регулярной основе делятся профессиональным опытом из различных областей науки;
— внутреннюю программу поддержки инноваций;
— медицинскую страховку, включающую стоматологию, госпитализации, международные путешествия;
— льготное страхование членов семьи.
Architect and tune customer and channel-partner deployments end-to-end — API integrations, third-party data integrations, SDKs, and latency constraints. Serve as Alloy's credible technical voice with customer engineering leadership, making architectural calls in real time.
As an Operations Engineer, you'll apply AI at the forefront of BizTech's operational health: using LLM-powered triage and intelligent automation to resolve tickets, speed up incident response, and build self-healing observability that catches problems before they escalate. AI fluency is core to this role, not an add-on.
УдалённоWhile the position is Remote Eligible, you must live in a state where Airbnb, Inc; A few things that will always be true for Airbnb’s hiring process: our open roles are posted on Airbnb’s Career’s Page at careers.airbnb.com, and our recruiters correspond only from @
Location: Almaty, Kazakhstan
Workplace: OnSite
Almaty, Kazakhstan · Trust & Safety Engineering
Why this role exists
Higgsfield builds tools for AI creators: creative workflows, collaborative projects in Cinema Studio, and a community for sharing work. We need a backend engineer who combines deep database and architecture expertise with the initiative to own product outcomes, from the first idea to production.
What you'll actually do
- Build AI creation workflows, Cinema Studio collaboration, and community features: sharing, discovery, contests, profiles, and follows.
- Own features and bugs through release and follow-up. Define API contracts and coordinate frontend work to deliver the complete feature.
- Deliver responsive UX: live progress, timely updates, and clear failure recovery, even when it takes more engineering effort.
- Remove database and service bottlenecks under high traffic; improve correctness, latency, and reliability.
- Define success metrics, build dashboards and alerts, and track adoption and system health after launch.
Must-haves
1. Deep database expertise: data modeling, indexes, query plans, partitioning, transactions, and locking. You diagnose production bottlenecks and understand the trade-offs behind your fixes.
2. Strong architecture judgment: service boundaries, APIs, asynchronous workflows, caching, and failure handling. Hands-on Kubernetes and CI/CD experience, from design and testing to deployment and debugging.
3. A track record of shipping and operating backend systems across multiple projects, including high-traffic workloads. You can explain your decisions and measurable results.
4. API security: authentication, object-level authorization, and tenant isolation. You prevent IDOR in reads and writes, including resource IDs in request bodies, and test access across users and workspaces.
5. You've built or studied social networks and collaborative tools, and can explain design trade-offs in feeds, follow graphs, notifications, sharing permissions, real-time sync, and concurrent edits.
6. High agency and ownership: you find worthwhile problems, propose improvements, remove blockers, and follow through without waiting for assignments.
7. Low ego: you welcome direct feedback, admit mistakes, change your mind with evidence, and help wherever the team needs you.
8. Ambition and optimism: hard goals and rapid growth energize you. You challenge assumptions constructively and commit to making ambitious ideas work.
9. Energy for an intense pace, shifting priorities, and urgent launches or production issues that can require work outside regular hours.
Our tech stack
- Languages and frameworks: Python (FastAPI), Go (Gin), and TypeScript (React/Next.js on the frontend).
- Data: PostgreSQL and Redis; analytical databases such as BigQuery or ClickHouse.
- Messaging: Kafka, Amazon SQS, and RabbitMQ; event-driven services and asynchronous workers.
- AWS: S3, DynamoDB, ECR, and Secrets Manager.
- Infrastructure: Docker, Kubernetes on Amazon EKS, Helm, Argo CD, and GitHub Actions.
- Observability: Prometheus, Grafana, OpenTelemetry, and Sentry.
Interview process
1. Recruiter screen: role expectations, logistics, and fit.
2. Technical interview: a difficult system you shipped, what you personally decided and built, and how your work made the team more capable without leaving it dependent on you.
3. Additional technical interview, if needed: a deeper discussion of technical skills and open questions.
4. Product fit interview: turn a user problem into a small first release, decide what to leave out, and explain how feedback would change the solution.
5. Offer.
What we offer
Competitive base in USD, equity, relocation support, and ownership of product experiences that directly shape how people create with AI.
🔥Проект - Building and scaling a multi-asset trade and portfolio management platform with strong backend focus including designing, developing, and maintaining backend services, APIs, and data pipelines.
Задачи:
— Автоматизация сбора доказательств.
— Настройка и эксплуатация платформы автоматизации GRC: подключение источников данных, создание плагинов для доказательств, определение наборов данных, написание правил анализа и организация непрерывного мониторинга, замена ручных процессов скриншотов на автоматизированные сборщики, сопоставленные с контролями.
— Автоматизация рабочих процессов GRC и выполнение compliance как кода.
— Использование Claude Code (или аналогов) и MCP для запросов доказательств, сопоставления контролей, анализа пробелов, обзоров поставщиков и отчетности.
— Создание и поддержка агентских систем команды.
— Управление политиками, определениями контролей и автоматизацией в GitHub через ветки, pull-запросы и ревью.
— Проектирование тестирования контролей и управление исправлениями.
— Инструментирование тестирования по стандартам SOC 2, ISO 27001, ISO 27017/27018, ISO 27701, PCI DSS и ISO 42001 для непрерывного обеспечения, а не точечных снимков, и работа с владельцами контролей и инженерами для устранения пробелов с автоматизированными доказательствами.
Требования:
— Опыт 5+ лет в области compliance, GRC или IT-аудита, практический опыт с SOC 2, ISO 27001, PCI DSS и смежными стандартами.
— Опыт 1+ года использования агентских AI-систем (Claude Code, Codex и др.) для реальной работы по compliance с реализованной автоматизацией.
— Уверенное владение GitHub: репозитории, ветки, pull-запросы и код-ревью.
— Знание CI/CD будет преимуществом.
— Быстрая обучаемость новым инструментам.
— Способность самостоятельно настраивать платформу автоматизации GRC.
— Глубокое понимание GRC: проектирование контролей, доказательства, риски и мышление аудиторов.
— Знание облачных технологий (AWS, Azure, GCP): IAM, вычисления, хранение, сеть и контролей безопасности.
— Системное мышление и предпочтение автоматизации повторяющейся ручной работы.
Преимущества:
— Умение читать API, JSON и логи.
— Навыки скриптинга (Python, bash, TypeScript).
— Опыт работы с платформами автоматизации GRC (Vanta, Drata или аналогичными).
— Опыт интеграции через API и легкое программирование.
— Сертификаты CISA, CISSP, ISO 27001 Lead Auditor или аналогичные.
— Опыт в области управления рисками AI, AI governance или ISO 42001.
— Опыт работы в технологической, SaaS или инженерной среде.
Условия:
— Полная занятость, гибридный формат работы, офис в Берлине.
— Зарплата от 76 000 до 106 000 евро в год.
— Помощь с релокацией в Германию: поддержка с визой, сервисы по месту назначения, бонус на покрытие расходов (временное жилье и др.).
— Профессиональный и личный рост: обучение, коучинг, регулярная обратная связь.
— Комплексные льготы для сотрудников в Германии: конкурентная оплата, медицинское обслуживание (включая психическое здоровье), страхование рисков, оплачиваемый отпуск.
— Поддержка обустройства домашнего офиса, стипендии на здоровье и уход за питомцами, возможности для обучения и развития.
-Разработка и поддержка административного портала на React/TypeScript: приложения, роли и доступы, секреты, пространства, ресурсы, репозитории и базовые образы, модели, мониторинг и отчёты. -Разработка и доработка REST API на Python/FastAPI в сервисах портала, шаблонизатора и нотификаций: эндпоинты, схемы Pydantic, сервисный слой, доступ к PostgreSQL.
Location: Poland; Brazil; Peru; Sweden; Argentina; Romania; Cyprus; Czech Republic; Hungary; Mexico; Chile; Bulgaria
Workplace: Remote
BUILDING THE FUTURE OF OPEN FINANCE
Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system.
THE TEAM
xStocks brings real-world assets on-chain as tokenized securities that are regulated, fully-backed, and tradable across multiple blockchains. Built within Payward, the xStocks team runs the infrastructure that issues, custodies, and settles these instruments across EVM, Solana, TON, Tron, and more. The platform moves real value, so security is not a feature bolted on at the end. It is a property of everything the team ships. This is a hybrid engineering and security seat built for someone who is genuinely both: you ship products alongside the engineering team when the security queue is quiet, and you own security work end to end when it lands. You report into engineering and partner closely with the Payward security, CISO, and compliance functions.
THE OPPORTUNITY
- Own security deliverables end to end. Coordinate and review smart-contract audits, respond to security questionnaires and due-diligence requests, support CISO and compliance initiatives, and turn findings into tracked, closed-out fixes.
- Run offensive assessments against our own platforms. Pentest the web apps, APIs, backend services, and on-chain components, and build the tooling to do it repeatedly rather than once.
- Continuously assess posture. Threat-model new and existing systems, review architecture and key-management flows, and maintain a living view of the risks and their mitigations.
- Review code for security. Be a default reviewer on changes touching auth, cryptography, custody, signing, and fund movement across our chains.
- Harden the platform. Improve secrets handling, IAM and least-privilege, dependency and supply-chain hygiene, and detection and logging for security-relevant events.
- Secure custody and signing workflows. Review and harden transaction signing flows, MPC and HSM integrations, signer permissions, admin roles, approval policies, and break-glass procedures.
- Contribute to product engineering. Pick up regular backlog work in TypeScript so you stay close to the codebase you are defending.
- Support incidents. Help with detection, triage, response, and post-mortems, and feed the lessons back into the program.
WHAT YOU BRING
- An engineer first. You write and review production code comfortably, TypeScript and Node.js in our stack, and you understand systems deeply enough to break them.
- Strong application and infrastructure security fundamentals. The OWASP-class vulnerability landscape, authn and authz, injection, SSRF, supply-chain risk, and secure design. You have done real offensive work in pentesting, vuln research, or red-team.
- Applied cryptography and blockchain security. Symmetric and asymmetric primitives, hashing, signatures, and key management, plus the security model of EVM, Solana, and ideally TON or Tron. You can read a smart contract and reason about how it fails.
- Ownership. You can take an ambiguous security item, an audit, a questionnaire, or an incident, and drive it to closure without being managed through it.
- Clear communication. You can explain a risk to engineers, to a CISO, and to an auditor, and tailor the message to each.
- An automation instinct. You do not want to catch the same issue manually twice, so you turn findings into tests, alerts, controls, documentation, or platform improvements.
- Risk judgment. You can tell a theoretical issue from a material one, and communicate severity, likelihood, impact, and remediation tradeoffs clearly.
NICE TO HAVE
- Experience commissioning or remediating third-party smart-contract audits.
- Familiarity with custody and signing infrastructure such as HSMs, MPC, and ForDefi-style providers, and with on-chain transaction security.
- Cloud security depth in GCP or AWS, IAM, and container and runtime hardening.
- Detection engineering and security observability, including SIEM and log-based detections.
- Relevant certifications such as OSCP, OSWE, or GWAPT.
- Prior work in a regulated fintech or tokenization/DeFi environment.
Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis.
Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution.
We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.
OUR COMMITMENT
Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto.
We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision.
As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws.
Stay connected
Follow us on X https://twitter.com/krakenfx
Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address
Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/
Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice
ОфисAlmaty, Kazakhstan; Competitive base in USD, equity, relocation support, and ownership of product experiences that directly shape how people create with AI
ГибридПомогают с релокацией (Германия); Comprehensive benefits for candidates based in Germany: Competitive pay along with life care (including mental health care and risk benefits) and ample, defined time off; Relocation support: Comprehensive support for your move to Berlin, including visa assistance, destination services, and a relocation bonus to cover expenses such as temporary housing
УдалённоseniorPoland; Brazil; Peru; Sweden; Argentina; Romania; Cyprus; Czech Republic; Hungary; Mexico; Chile; Bulgaria; We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance
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