Location: Dublin, Ireland; London, England
Fin
, now part of Salesforce, is on a mission to help businesses provide perfect customer experiences.
Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system.
Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI.
Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce.
Fin is the AI Customer Service company on a mission to help businesses provide incredible customer experiences.
Our AI agent Fin, the most advanced customer service AI agent on the market, lets businesses deliver always-on, impeccable customer service and ultimately transform their customer experiences for the better. Fin can also be combined with our Helpdesk to become a complete solution called the Fin Customer Service Suite, which provides AI enhanced support for the more complex or high touch queries that require a human agent.
Founded in 2011 and trusted by over 30,000 global businesses, Fin is setting the new standard for customer service. Driven by our core values, we push boundaries, build with speed and intensity, and consistently deliver incredible value to our customers.
What’s the opportunity?
We’re hiring an
Engineering Manager
for our
AI Models Infrastructure Team
in the
AI Group
. The AI Models Infrastructure team builds and operates the foundational infrastructure that empowers our teams to train and run Fin's own AI models.
This is a
highly technical EM role
- you’ll lead a team of expert engineers in a fast-evolving technical domain. In order to empower this team to be most effective, you will need prior experience in AI, and the appetite to continually invest in deepening your technical knowledge.
Learn more about Fin's engineering culture at
intercom.engineering
, and more about Fin at
fin.ai
.
What will I be doing?
You will:
Lead a high-performing team
building the platform and infrastructure that power Fin's AI capabilities.
Magnify the team’s effectiveness
, whether that means removing impediments, or finding ways to accelerate their progress.
Support teams of ML Scientists and Engineers
building AI powered capabilities
.
Plan, prioritize, and deliver
high-impact roadmaps in partnership with the team’s most senior engineers, balancing delivery, quality, and innovation.
Empower the engineers on the team to act with agency and maximize their impact.
Expand your scope over time
, potentially taking ownership of additional platform domains as the team and AI initiatives grow.
What skills do I need?
You must have:
Experience leading infra or platform teams.
Strong prior experience working as an engineer.
Strong technical judgment and communication skills, enabling you to advocate for the team’s needs
Adaptable leadership style suited to a group that will grow quickly, and change shape over time.
Curiosity and enthusiasm for AI.
Experience training ML models and operating them in production at scale is a significant advantage, but not a hard requirement. We will invest in EMs with a deep technical background, and a strong appetite to learn the domain.
Nice to have
Experience training ML models and operating them in production, at scale.
#LI-Hybrid
Unleash Your Potential
When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.
In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at
fin.ai/careers
. Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.
Policies
Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week.
We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our
core values
.
Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination.
Know your rights: workplace discrimination is illegal.
Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.
О ПРОЕКТЕ
Мы создаем точку входа в мир децентрализованных финансов и блокчейна через геймификацию. Это целая Web3-экосистема, где образование встречается с технологиями. Ищем лидера, который возглавит инженерную команду и построит масштабируемую архитектуру с нуля.
ВАШИ КЛЮЧЕВЫЕ ЗАДАЧИ
— Strategy: Формирование тех. стратегии и архитектуры всей Web3-экосистемы.
— Design: Проектирование интеграций (смарт-контракты, индексоры, off-chain сервисы, auth flows).
— Planning: Трансформация продуктового роадмапа в четкие инженерные планы.
— Leadership: Руководство тимлидами и разработчиками, менторство и масштабирование команды.
— Hands-on: Личное участие в разработке ключевых модулей, Code Review и принятие архитектурных решений.
— Safety: Обеспечение надежности и безопасного Delivery совместно с DevOps.
НАШ ТЕХСТЕК
— Blockchain: Solidity / EVM (Ethereum), Rust / Solana.
— Languages: TypeScript / Node.js, React / Next.js.
— Web3 Tools: ethers.js / web3.js, WalletConnect, MetaMask.
— Data: The Graph / Indexers, RPC providers.
— Infra: Docker, Kubernetes, CI/CD.
ПОЧЕМУ У НАС КРУТО?
— Impact: Реальное влияние на развитие глобальной экосистемы, а не локальной фичи.
— Autonomy: Высокая степень свободы в решениях и прямой доступ к C-level.
— Culture: Международный контекст, быстрые процессы и отсутствие бюрократии.
— Growth: Шанс выстроить инженерные практики «под себя» и собрать зрелую систему.
Location: Riyadh, Saudi Arabia
Müller's Solutions is seeking a dedicated Data Catalog Specialist for a part-time, 3-month contract. In this role, you will be responsible for managing and maintaining the organization's data catalog to ensure accurate and organized metadata for data assets. You will collaborate with various teams to facilitate efficient data discovery, governance, and usage, enabling better data management and decision-making.
Responsibilities:
.
Implement and configure
Informatica IDMC Data Catalog (EDC)
in client environment (Dev & Prod)
• Configure
Secure Agent setup
(on-prem / cloud) with high availability considerations
• Establish connectivity with
data sources (RDBMS, data warehouse, data lake)
• Perform
metadata ingestion, lineage extraction, and profiling setup
• Configure
business glossary linkage and Critical Data Elements (CDEs)
onboarding
• Align configurations with
security, access control, and data classification policies (NDMO)
• Support validation and optimization of catalog performance and scanning schedules
Requirements
• 3+ years in data management tools, with
hands-on Informatica IDMC (EDC/Data Catalog)
• Experience with
Secure Agent installation, configuration, and troubleshooting
• Strong understanding of
metadata management, lineage, and data governance concepts
• Experience integrating with
Oracle, SQL Server, Hadoop/Cloudera, or cloud data platforms
• Familiarity with
role-based access control and enterprise security standards
• Ability to work with infra teams on
network, firewall (port 443), and deployment architecture
Benefits
Why Join Us:
Opportunity to work with a talented and passionate team.
Competitive salary and benefits package.
Exciting projects and innovative work environment.
Riyadh, Saudi Arabia
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.
О ПРОЕКТЕ
Мы — продуктовая команда на стыке Web2 и Web3. Ищем разработчика, способного закрывать задачи end-to-end: от проектирования proto-схем и backend-сервисов до реализации интерфейсов с глубокой типизацией. Мы ценим чистую архитектуру, автономность и умение доводить фичи до продакшена.
ТЕХНИЧЕСКИЙ СТЕК
— Frontend: React 18/19, TypeScript (generics, utility types), TanStack (Query, Router, Table), MobX.
— Backend: Node.js / Bun, Protocol Buffers (схемы, кодогенерация), gRPC / ConnectRPC.
— Database: PostgreSQL (индексы, транзакции), Redis (кеширование, pub/sub), MikroORM / Prisma.
— Infra: Docker (multi-stage builds), Git (PR flow, code review).
— Web3: Понимание архитектуры блокчейна, чтение ABI, интеграция кошельков.
ОСНОВНЫЕ ЗАДАЧИ
— Проектирование и реализация ConnectRPC / gRPC сервисов по требованиям.
— Создание переиспользуемых React-компонентов с корректной типизацией.
— Работа с базами данных: написание миграций (MikroORM), оптимизация запросов.
— Самостоятельный деплой и настройка локального окружения через docker-compose.
— Интеграция Web3-провайдеров и взаимодействие со смарт-контрактами.
БУДЕТ ПРЕИМУЩЕСТВОМ
— Опыт с NestJS, GraphQL или WebSockets.
— Навыки работы с Ethers.js / Viem / Wagmi.
— Базовое понимание Solidity (чтение контрактов).
— Опыт настройки CI/CD (GitHub Actions) и написания тестов (Jest / Vitest).
УСЛОВИЯ РАБОТЫ
— Полностью удаленный формат и отсутствие микроменеджмента.
— Работа в Agile-команде над сложным технологическим продуктом.
— Профессиональный рост через глубокое погружение в архитектурные решения.
УдалённоmiddleПолностью удаленный формат и отсутствие микроменеджмента
О ПРОЕКТЕ
TrustMe — казахстанский SaaS-стартап, создающий экосистему для ЭДО, AI-автоматизации и цифровых бизнес-процессов. Мы масштабируем продукты в сферах FinTech, LegalTech и Cybersecurity для B2B и государственного сектора. Сейчас мы ищем архитектора, готового внедрять Web3-решения и работать над токенизацией активов (RWA).
ВАШИ КЛЮЧЕВЫЕ ЗАДАЧИ
— System Design: Проектирование архитектуры компонентов, баз данных и логики блокчейн-цепочек.
— Smart Contracts: Разработка на Solidity под EVM с фокусом на безопасность и оптимизацию газа.
— Backend & Orchestration: Создание API-шлюзов и распределенных систем на Go, Python или Node.js.
— Web3 Infra: Работа с оракулами (Chainlink), индексаторами (The Graph) и децентрализованными хранилищами (IPFS).
— AI Integration: Активное использование современных ИИ-инструментов (Cursor, Copilot) для ускорения разработки.
ЧТО МЫ ЖДЕМ ОТ ВАС
— Expertise: Опыт в FinTech, Neobanking или сложных Enterprise SaaS проектах.
— Skills: Понимание принципов биллинга, учета активов и построения отказоустойчивых систем.
— Background: Опыт работы в R&D крупных IT-компаний или финтех-стартапах стадий Series A/B.
— Mindset: Инициативность, здравый смысл и готовность работать в High-Stakes проектах, где важна точность каждого решения.
ПОЧЕМУ СТОИТ ПРИСОЕДИНИТЬСЯ
— Собственность: Возможность получить опцион и стать совладельцем компании.
— Масштаб: Реальные кейсы внедрения в госсектор и крупный ритейл.
— Гибкость: Гибридный формат работы и возможность выбора графика.
— Развитие: Поддержка обучения, сертификации и сильная инженерная культура.
Location: Canada
Workplace: Remote
About the Team
The Cloud Infrastructure Engineering team builds and manages the foundational blocks of ClickHouse Cloud data plane end-to-end. This includes compute, networking, security, and a multi-cloud, multi-region architecture that provides a reliable and scalable managed ClickHouse experience for ClickHouse Cloud customers. Our team is looking for highly skilled and experienced cloud infrastructure software engineers to join our team, who will be responsible for designing, deploying, and maintaining our infrastructure.
What will you do?
- Architect and build a robust, scalable, and highly available distributed infrastructure.
- Build a cutting-edge cloud-native platform on top of the public cloud, and automate our cloud resource management.
- Work closely with our ClickHouse core database development team, and security team and partner with them to produce the SaaS offering.
- Work on routing and traffic components to improve the reliability and scalability of our cloud service.
- Systematically improve availability by applying industry and distributed systems best practices.
- Design and build security components & tooling: firewall, PKI and certificate infra, zero trust network, etc.
- Improve performance and cost efficiency of our infrastructure.
About you:
- 5+ years of relevant software development industry experience building and operating scalable, fault-tolerant, distributed systems.
- Software development experience in Go, C/C++, Java, or another OOP language.
- Experience with cloud technologies such as AWS, Azure, or GCP, including infrastructure-as-code (IaC) tools such as Terraform or CloudFormation.
- Experience developing cloud infrastructure services, preferably with Kubernetes.
- Experience developing cloud native edge or service mesh services, preferably with envoy and Istio.
- Experience leading and shipping large scope technical projects in collaboration with multiple experienced engineers.
- Understanding of network topologies, protocols, and security principles, such as VPNs, firewalls, and load balancers.
- Knowledge of cloud security best practices, including encryption, access controls, and compliance standards like SOC2 and GDPR.
- You have excellent communication skills and the ability to work well within a global team.
- You are a strong problem-solver and have solid production debugging skills.
- You are passionate about efficiency, availability, scalability and data governance.
- You thrive in a fast-paced environment, and see yourself as a partner with the business with the shared goal of moving the business forward.
- You have a high level of responsibility, ownership, and accountability
#LI-remote
PERKS
- Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries.
- Healthcare - Employer contributions towards your healthcare.
- Equity in the company - Every new team member who joins our company receives stock options.
- Time off - Flexible time off in the US, generous entitlement in other countries.
- A USD$500 Home office setup if you’re a remote employee.
- Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites.
CULTURE - WE ALL SHAPE IT
As part of a rapidly scaling start-up, you will be instrumental in shaping our culture.
Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse.
EQUAL OPPORTUNITY & PRIVACY
ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.
Location: The Netherlands; Denmark; Portugal; France; United Kingdom; Spain; Germany; Italy; Sweden
Workplace: Remote
About the Team
The Cloud Infrastructure Engineering team builds and manages the foundational blocks of ClickHouse Cloud data plane end-to-end. This includes compute, networking, security, and a multi-cloud, multi-region architecture that provides a reliable and scalable managed ClickHouse experience for ClickHouse Cloud customers. Our team is looking for highly skilled and experienced cloud infrastructure software engineers to join our team, who will be responsible for designing, deploying, and maintaining our infrastructure.
What will you do?
- Architect and build a robust, scalable, and highly available distributed infrastructure.
- Build a cutting-edge cloud-native platform on top of the public cloud, and automate our cloud resource management.
- Work closely with our ClickHouse core database development team, and security team and partner with them to produce the SaaS offering.
- Work on routing and traffic components to improve the reliability and scalability of our cloud service.
- Systematically improve availability by applying industry and distributed systems best practices.
- Design and build security components & tooling: firewall, PKI and certificate infra, zero trust network, etc.
- Improve performance and cost efficiency of our infrastructure.
About you:
- 5+ years of relevant software development industry experience building and operating scalable, fault-tolerant, distributed systems.
- Software development experience in Go, C/C++, Java, or another OOP language.
- Experience with cloud technologies such as AWS, Azure, or GCP, including infrastructure-as-code (IaC) tools such as Terraform or CloudFormation.
- Experience developing cloud infrastructure services, preferably with Kubernetes.
- Experience developing cloud native edge or service mesh services, preferably with envoy and Istio.
- Experience leading and shipping large scope technical projects in collaboration with multiple experienced engineers.
- Understanding of network topologies, protocols, and security principles, such as VPNs, firewalls, and load balancers.
- Knowledge of cloud security best practices, including encryption, access controls, and compliance standards like SOC2 and GDPR.
- You have excellent communication skills and the ability to work well within a global team.
- You are a strong problem-solver and have solid production debugging skills.
- You are passionate about efficiency, availability, scalability and data governance.
- You thrive in a fast-paced environment, and see yourself as a partner with the business with the shared goal of moving the business forward.
- You have a high level of responsibility, ownership, and accountability
#LI-remote
PERKS
- Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries.
- Healthcare - Employer contributions towards your healthcare.
- Equity in the company - Every new team member who joins our company receives stock options.
- Time off - Flexible time off in the US, generous entitlement in other countries.
- A USD$500 Home office setup if you’re a remote employee.
- Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites.
CULTURE - WE ALL SHAPE IT
As part of a rapidly scaling start-up, you will be instrumental in shaping our culture.
Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse.
EQUAL OPPORTUNITY & PRIVACY
ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.
Location: Singapore; Australia
Workplace: Remote
About the Team
The Cloud Infrastructure Engineering team builds and manages the foundational blocks of ClickHouse Cloud data plane end-to-end. This includes compute, networking, security, and a multi-cloud, multi-region architecture that provides a reliable and scalable managed ClickHouse experience for ClickHouse Cloud customers. Our team is looking for highly skilled and experienced cloud infrastructure software engineers to join our team, who will be responsible for designing, deploying, and maintaining our infrastructure.
What will you do?
- Architect and build a robust, scalable, and highly available distributed infrastructure.
- Build a cutting-edge cloud-native platform on top of the public cloud, and automate our cloud resource management.
- Work closely with our ClickHouse core database development team, and security team and partner with them to produce the SaaS offering.
- Work on routing and traffic components to improve the reliability and scalability of our cloud service.
- Systematically improve availability by applying industry and distributed systems best practices.
- Design and build security components & tooling: firewall, PKI and certificate infra, zero trust network, etc.
- Improve performance and cost efficiency of our infrastructure.
About you:
- 5+ years of relevant software development industry experience building and operating scalable, fault-tolerant, distributed systems.
- Software development experience in Go, C/C++, Java, or another OOP language.
- Experience with cloud technologies such as AWS, Azure, or GCP, including infrastructure-as-code (IaC) tools such as Terraform or CloudFormation.
- Experience developing cloud infrastructure services, preferably with Kubernetes.
- Experience developing cloud native edge or service mesh services, preferably with envoy and Istio.
- Experience leading and shipping large scope technical projects in collaboration with multiple experienced engineers.
- Understanding of network topologies, protocols, and security principles, such as VPNs, firewalls, and load balancers.
- Knowledge of cloud security best practices, including encryption, access controls, and compliance standards like SOC2 and GDPR.
- You have excellent communication skills and the ability to work well within a global team.
- You are a strong problem-solver and have solid production debugging skills.
- You are passionate about efficiency, availability, scalability and data governance.
- You thrive in a fast-paced environment, and see yourself as a partner with the business with the shared goal of moving the business forward.
- You have a high level of responsibility, ownership, and accountability
#LI-remote
PERKS
- Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries.
- Healthcare - Employer contributions towards your healthcare.
- Equity in the company - Every new team member who joins our company receives stock options.
- Time off - Flexible time off in the US, generous entitlement in other countries.
- A USD$500 Home office setup if you’re a remote employee.
- Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites.
CULTURE - WE ALL SHAPE IT
As part of a rapidly scaling start-up, you will be instrumental in shaping our culture.
Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse.
EQUAL OPPORTUNITY & PRIVACY
ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.
Location: NAMER and LatAm; United States
About the Team
The Cloud Infrastructure Engineering team builds and manages the foundational blocks of ClickHouse Cloud data plane end-to-end. This includes compute, networking, security, and a multi-cloud, multi-region architecture that provides a reliable and scalable managed ClickHouse experience for ClickHouse Cloud customers. Our team is looking for highly skilled and experienced cloud infrastructure software engineers to join our team, who will be responsible for designing, deploying, and maintaining our infrastructure.
What will you do?
- Architect and build a robust, scalable, and highly available distributed infrastructure.
- Build a cutting-edge cloud-native platform on top of the public cloud, and automate our cloud resource management.
- Work closely with our ClickHouse core database development team, and security team and partner with them to produce the SaaS offering.
- Work on routing and traffic components to improve the reliability and scalability of our cloud service.
- Systematically improve availability by applying industry and distributed systems best practices.
- Design and build security components & tooling: firewall, PKI and certificate infra, zero trust network, etc.
- Improve performance and cost efficiency of our infrastructure.
About you:
- 5+ years of relevant software development industry experience building and operating scalable, fault-tolerant, distributed systems.
- Software development experience in Go, C/C++, Java, or another OOP language.
- Experience with cloud technologies such as AWS, Azure, or GCP, including infrastructure-as-code (IaC) tools such as Terraform or CloudFormation.
- Experience developing cloud infrastructure services, preferably with Kubernetes.
- Experience developing cloud native edge or service mesh services, preferably with envoy and Istio.
- Experience leading and shipping large scope technical projects in collaboration with multiple experienced engineers.
- Understanding of network topologies, protocols, and security principles, such as VPNs, firewalls, and load balancers.
- Knowledge of cloud security best practices, including encryption, access controls, and compliance standards like SOC2 and GDPR.
- You have excellent communication skills and the ability to work well within a global team.
- You are a strong problem-solver and have solid production debugging skills.
- You are passionate about efficiency, availability, scalability and data governance.
- You thrive in a fast-paced environment, and see yourself as a partner with the business with the shared goal of moving the business forward.
- You have a high level of responsibility, ownership, and accountability
#LI-remote
PERKS
- Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries.
- Healthcare - Employer contributions towards your healthcare.
- Equity in the company - Every new team member who joins our company receives stock options.
- Time off - Flexible time off in the US, generous entitlement in other countries.
- A USD$500 Home office setup if you’re a remote employee.
- Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites.
CULTURE - WE ALL SHAPE IT
As part of a rapidly scaling start-up, you will be instrumental in shaping our culture.
Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse.
EQUAL OPPORTUNITY & PRIVACY
ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.
Location: Hong Kong, Hong Kong SAR
About the Role
We are looking for a highly capable
Senior Strategy PMO / Project Manager
to join our CEO Office / Strategy PMO team.
This role goes beyond traditional project management — you will operate at the intersection of
strategy, execution, and organizational scaling
, partnering closely with senior leadership to drive high-impact, cross-functional initiatives across the company.
This is a high-exposure role suited for candidates who thrive in fast-paced environments and are comfortable navigating ambiguity, complexity, and executive-level expectations.
Responsibilities
Drive end-to-end planning and execution of company-level strategic initiatives, spanning product, engineering, risk, growth, and operational transformation.
Partner with senior leadership to translate high-level strategies into executable roadmaps and delivery mechanisms.
Establish and continuously refine project governance frameworks to improve execution efficiency, visibility, and accountability across teams.
Identify cross-team bottlenecks and systemic inefficiencies, and drive structural solutions rather than one-off fixes.
Lead high-complexity, cross-functional programs (e.g., trading systems, risk infrastructure, growth platforms, or platform-level transformations).
Support and accelerate company-wide AI transformation initiatives, including:
Driving AI adoption across product and operational workflows
Coordinating cross-functional AI pilots and scaling best practices
Building execution frameworks for AI-enabled delivery models
Provide clear executive-level updates on progress, risks, and trade-offs, enabling fast and informed decision-making.
Act as a force multiplier for leadership by driving alignment, execution clarity, and organizational velocity.
Requirements
5–10 years of experience in strategy PMO, program management, or high-impact project delivery roles.
Strong experience driving complex, cross-functional initiatives in fast-paced environments such as:
Top-tier internet companies
Global tech companies or scale-ups
Fintech, trading, or platform-heavy organizations
Proven track record of delivering technically complex programs (e.g., trading systems, risk controls, user safety, growth platforms, infra-heavy initiatives).
Strong systems thinking — able to identify root causes and design scalable solutions.
Excellent execution skills with a bias toward action and outcomes.
Strong communication and stakeholder management skills, including experience working with senior executives.
High ownership mindset with the ability to operate independently in ambiguous environments.
Preferred Qualifications
Background in technically intensive domains such as:
Trading infrastructure or financial systems
User risk control systems or user growth
Platform architecture
Experience in crypto, fintech, or global-scale platforms.
Experience driving AI adoption in product, engineering, QA, or operational workflows.
Bilingual (English + Mandarin) to collaborate effectively across global teams.
Notice:
All official
OKX
vacancies are published on this website.
While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated.
If in doubt, please apply directly through our official careers website.
Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to
OKX
's
Candidate Privacy Notice
.
Location: Hong Kong, Hong Kong SAR; Singapore, Singapore
About the Role
We are looking for a highly capable
Senior Strategy PMO / Project Manager
to join our CEO Office /
Intelligence & Performance (IP) team
.
This role goes beyond traditional project management — you will operate at the intersection of
strategy, execution, and organizational scaling
, partnering closely with senior leadership to drive high-impact, cross-functional initiatives spanning
growth, platform risk, and trading product experience
.
This is a high-exposure, high-intensity role suited for candidates who are genuinely hungry to build something meaningful — comfortable navigating ambiguity, complexity, and executive-level expectations, and willing to fight for outcomes rather than just manage process.
Responsibilities
Drive end-to-end planning and execution of company-level strategic initiatives, spanning
growth, platform risk, trading product experience
, and organizational transformation.
Own the health and evolution of core trading/platform experience — identifying friction points across the user trading journey and driving cross-functional fixes at the root-cause level, not surface patches.
Partner with senior leadership to translate high-level strategy into executable roadmaps and delivery mechanisms.
Establish and continuously refine project governance frameworks to improve execution efficiency, visibility, and accountability across teams.
Identify cross-team bottlenecks and systemic risk/inefficiency, and drive structural solutions rather than one-off fixes.
Lead high-complexity, cross-functional programs (e.g., growth platforms, platform risk controls, trading systems, or platform-level transformations).
Support and accelerate company-wide AI transformation initiatives, including:
Driving AI adoption across product and operational workflows
Coordinating cross-functional AI pilots and scaling best practices
Building execution frameworks for AI-enabled delivery models
Provide clear executive-level updates on progress, risks, and trade-offs, enabling fast and informed decision-making.
Act as a force multiplier for leadership by driving alignment, execution clarity, and organizational velocity.
Requirements
5–10 years of experience in strategy PMO, program management, or high-impact project/product delivery roles.
Genuinely aggressive and entrepreneurial
— someone who wants to build something real, is willing to grind through ambiguity, and treats this as a mission rather than a job.
Strong independent thinking and critical reasoning
— able to question assumptions, challenge existing frameworks constructively, and form your own point of view rather than just execute.
Strong data analysis capability
— comfortable working with SQL/data queries and dashboards independently, able to translate ambiguous business questions into structured analysis and defend conclusions with data, not just process narrative.
Strong experience driving complex, cross-functional initiatives in fast-paced environments such as:
Top-tier management consulting firms
Top-tier internet companies (ToC product management background welcome)
Global investment banks
Fintech, trading, or platform-heavy organizations
Proven track record of delivering technically or operationally complex programs (e.g., growth platforms, trading systems, platform risk controls, user safety/experience, infra-heavy initiatives).
Strong systems thinking — able to identify root causes and design scalable solutions.
Excellent execution skills with a strong bias toward action and outcomes.
Strong communication and stakeholder management skills, including experience working with senior executives.
High ownership mindset with the ability to operate independently in ambiguous environments.
Preferred Qualifications
Background in technically or commercially intensive domains such as:
Growth / user acquisition platforms
Platform risk control systems
Trading infrastructure or trading product experience
Prior experience as a ToC product manager at a leading internet company, or as a strategy/management consultant at a top-tier firm, or in investment banking (M&A, coverage, or strategy roles).
Experience in crypto, fintech, or global-scale consumer platforms.
Experience driving AI adoption in product, engineering, QA, or operational workflows.
Bilingual (English + Mandarin) to collaborate effectively across global teams.
Notice:
All official
OKX
vacancies are published on this website.
While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated.
If in doubt, please apply directly through our official careers website.
Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to
OKX
's
Candidate Privacy Notice
.
Location: San Jose, California, United States
Who We Are
At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles:
We Before Me
,
Do the Right Thing
, and
Get Things Done
. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er.
About The Role
We are looking for a customer-obsessed and hands-on
experienced
Product Manager to lead the strategy, development, and optimization of our AI and agent products. In this role, you will own the end-to-end product lifecycle, working cross-functionally with engineering, design, marketing, CRM, and analytics to build AI infra and application products/systems to support both.
You will play a key role in driving user engagement, retention, and conversion through effective use of push notifications—balancing personalization, timing, frequency, and business impact.
What You'll Be Doing
Drive product roadmap for key components of AI and agent platforms or application products, ensuring alignment with business goals and customer needs
Partner with science and engineering teams to define and prioritize technical requirements for new AI features and capabilities
Lead the end-to-end product development lifecycle, from conception through launch, including writing PRDs, technical specifications, and business requirements
Develop and track success metrics, conduct data analysis to measure product performance and identify areas for improvement
Collaborate with UX teams to ensure optimal user experience across various Alexa-enabled devices and surfaces
Build strong partnerships with stakeholders across the company, including Science, Engineering, Design, Business Development, and Legal teams
Drive technical decisions that balance customer experience, technical feasibility, and business requirements
Identify and assess new opportunities for applying emerging AI technologies to enhance Alexa's capabilities
What We Look For In You
Bachelor's degree in computer science, electrical engineering, analytics, mathematics, IT or equivalent
5+ years of industry experience with at least 3+ years in technical product management
Strong technical background and proven track record of delivering complex technical products at scale
Excellence in written and verbal communication, with the ability to translate technical concepts for various audiences
Strong analytical and problem-solving skills with data-driven decision making
Experience working with technical teams and managing complex stakeholder relationships
Nice to Haves
Master's degree in computer science, electrical engineering, analytics, mathematics, IT or equivalent
Experience with conversational AI or voice-based products
Strong technical understanding of ML/AI concepts, particularly in NLP and LLMs
Track record of innovation and zero-to-one product development
Experience with Deep Learning model training or inference
Perks & Benefits
Competitive total compensation package
L&D programs and Education subsidy for employees' growth and development
Various team building programs and company events
Wellness and meal allowances
Comprehensive healthcare schemes for employees and dependants
More that we love to tell you along the process!
OKX Statement:
The
salary
range for this position is $250,444.00 to $375,666.00
. The salary offered depends on a variety of factors, including job-related knowledge, skills, experience, and market location. In addition to the salary, a performance bonus and long-term incentives may be provided as part of the compensation package, as well as a full range of medical, financial, and/or other benefits, dependent on the position offered. Applicants should apply via Okcoin and OKX internal or external careers site.
OKX is committed to equal employment opportunities regardless of race, color, genetic information, creed, religion, sex, sexual orientation, gender identity, lawful alien status, national origin, age, marital status, and non-job related physical or mental disability, or protected veteran status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
#LI-HYBRID
#LI-ED1
Notice:
All official
OKX
vacancies are published on this website.
While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated.
If in doubt, please apply directly through our official careers website.
Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to
OKX
's
Candidate Privacy Notice
.
Location: Remote-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA | 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
Data Infrastructure designs, operates, and scales secure, privacy-respecting systems that power data-driven decisions across Anthropic. Our mission is to provide data processing, storage, and access that are trusted, fast, and easy to use.
We're looking for infrastructure engineers who thrive working at the intersection of data systems, security, and scalability. You'll tackle diverse challenges ranging from building financial reporting pipelines to architecting access control systems to ensuring cloud storage reliability. This role offers the opportunity to work directly with data scientists, analysts, and business stakeholders while diving deep into cloud infrastructure primitives.
Responsibilities:
Within Data Infra, you may be matched to critical business areas including:
Data Governance & Access Control:
Design and implement robust access control systems ensuring only authorized users can access sensitive data. Build infrastructure for permission management, audit logging, and compliance requirements. Work on IAM policies, ACLs, and security controls that scale across thousands of users and systems.
Financial Data Infrastructure:
Build and maintain data pipelines and warehouses powering business-critical reporting. Ensure data integrity, accuracy, and availability for complex financial systems, including third party revenue ingestion pipelines; manage the external relationships as needed to drive upstream dependencies. Own the reliability of systems processing revenue, usage, and business metrics.
Cloud Storage & Reliability:
Architect disaster recovery, backup, and replication systems for petabyte-scale data. Ensure high availability and durability of data stored in cloud object storage (GCS, S3). Build systems that protect against data loss and enable rapid recovery.
Data Platform & Tooling:
Scale data processing infrastructure using technologies like BigQuery, BigTable, Airflow, dbt, and Spark. Optimize query performance, manage costs, and enable self-service analytics across the organization.
You might be a good fit if you:
Have 10+ years (not including internships or co-ops) of experience in a Software Engineer role, building data infrastructure, storage systems, or related distributed systems
Have 3+ years (not including internships or co-ops) of experience leading large scale, complex projects or teams as an engineer or tech lead
Can set technical direction for a team, not just execute within it
Have deep experience with at least one of:
Strong proficiency in programming languages like Python, Go, Java, or similar
Experience with infrastructure-as-code (Terraform, Pulumi) and cloud platforms (GCP, AWS)
Can navigate complex technical tradeoffs between performance, cost, security, and maintainability
Have excellent collaboration skills - you work well with both technical and non-technical stakeholders
Strong candidates may also have:
Experience with security and compliance requirements (ITGC, GDPR, financial controls)
Background in data warehousing, ETL/ELT pipelines, or analytics infrastructure
Experience with Kubernetes, containerization, and cloud-native architectures
Track record of improving data reliability, availability, or cost efficiency at scale
Knowledge of column-oriented databases, OLAP systems, or big data processing frameworks
Experience working in fintech, financial services, or highly regulated environments
Security engineering background with focus on data protection and access controls
Technologies We Use:
Data: BigQuery, BigTable, Airflow, Cloud Composer, dbt, Spark, Segment, Fivetran
Storage: GCS, S3
Infrastructure: Terraform, Kubernetes, GCP, AWS
Languages: Python, Go, SQL
Deadline to apply:
None. Applications will be reviewed on a rolling basis.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$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.
Location: San Francisco, CA | New York City, NY | Seattle, WA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the Role
Safeguards Engineering builds and operates the infrastructure that keeps Anthropic's AI systems safe in production — the classifiers, detection pipelines, evaluation platforms, and monitoring systems that sit between our models and the real world. That infrastructure needs to be not just correct, but
reliable
: when a safety-critical pipeline goes down or degrades, the consequences can be serious, and they can be invisible until someone looks closely.
As a Technical Program Manager for Safeguards Infrastructure and Evals, you'll own the operational health and forward momentum of this stack. Your primary responsibility is driving reliability — owning the incident-response and post-mortem process, ensuring SLOs are defined and met in partnership with various teams, and making sure that when things go wrong, the right people know, the right actions get taken, and those actions actually get closed out. Alongside that ongoing operational rhythm, you'll coordinate the larger platform investments: migrations, eval-platform improvements, and the cross-team dependencies that connect them.
This role sits at the intersection of operations and program management. It requires genuine technical depth — you need to understand how these systems work well enough to triage effectively, judge what's actually safety-critical versus what can wait, and have informed conversations with the engineers building and maintaining them. But the core of the job is keeping the machine running well and the work moving.
What You'll Do:
Own the Safeguards Engineering ops review -
Drive the recurring cadence that keeps the team informed and coordinated: surfacing recent incidents and failures, bringing visibility to reliability trends, and making sure the right people are in the room when decisions need to be made. This is the heartbeat of how Safeguards Eng stays ahead of operational risk.
Drive incident tracking and post-mortem execution -
When incidents happen — and in this space, they happen regularly — you'll make sure they get followed through properly. That means tracking incidents across the organization (including those owned by partner teams like Inference), ensuring post-mortems get written, and most critically, making sure the action items that come out of them actually get done. Closing the loop on post-mortem actions is one of the highest-leverage things this role does.
Establish and maintain SLOs with partner teams -
Work with Safeguards Engineering teams and key partners — particularly Inference and Cloud Inference — to define service-level objectives for safety-critical pipelines. Then build the tracking and reporting that makes it possible to tell whether those SLOs are being met, and surface it when they're not.
Maintain runbook quality and incident-ownership clarity -
Safety-critical systems need clear playbooks for when things go wrong. Partner with engineering leads to keep runbooks accurate, actionable, and up to date — and ensure that ownership of incidents is unambiguous so that nothing falls through the cracks during an active incident.
Drive platform migrations and infrastructure projects -
Own the program management for the larger infrastructure work on the roadmap: migrating the infra from one platform to the next, moving from one incident platform to the next and from one cloud system monitoring to another, and other migrations as they come. These are cross-team efforts with real dependencies — your job is to keep them sequenced, on track, and connected to the teams that need them.
Coordinate evals platform improvements -
Partner with the evals engineering team to drive improvements to the evaluation platform — including self-serve capabilities and the broader eval factory infrastructure. Help scope the work, track dependencies on other Safeguards systems, and make sure the evals platform is keeping pace with the team's needs.
You might be a good fit if you:
Have solid technical program management experience, particularly in operational or infrastructure-heavy environments — you're comfortable owning a mix of ongoing operational cadences and discrete project work simultaneously.
Understand how production ML systems work well enough to triage incidents intelligently and have substantive conversations with engineers about what's going wrong and why — you don't need to write the code, but you need to follow the technical thread.
Are energized by closing loops. Post-mortem action items that never get done, SLOs that no one checks, runbooks that go stale — these things bother you, and you know how to build the processes and follow-ups that fix them.
Can work effectively across team boundaries — comfortable coordinating with partner teams (like Inference) where you don't have direct authority, and skilled at keeping shared work moving through influence and clear communication.
Thrive in environments where the work shifts between "keep the lights on" and "build something new" — and can context-switch between incident follow-ups and longer-horizon platform projects without dropping either.
Have experience with or strong interest in AI safety — you understand why the reliability of a safety-critical pipeline is a different kind of problem than the reliability of a product feature, and that distinction motivates you.
Strong candidates may also:
Have experience with SRE practices, incident management frameworks, or on-call operations at scale.
Have worked on or with evaluation infrastructure for ML systems — understanding how evals get designed, run, and interpreted.
Have experience driving infrastructure migrations in complex, multi-team environments — particularly where the migration touches operational systems that can't go offline.
Be familiar with monitoring and alerting tooling (PagerDuty, Datadog, or equivalents) and the operational culture around them.
Deadline to apply:
None, applications will be received on a rolling basis.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$290,000
—
$365,000 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.
Задачи:
— Лидирование команды разработчиков и QA (10+ человек).
— Разработка архитектуры высоконагруженных систем.
— Внедрение и использование AI-инноваций (мониторинг новых технологий, их интеграция).
— Проведение code review, установление стандартов разработки.
— Hands-on участие в разработке, устранение блокеров.
— Найм, онбординг и удержание талантов.
— Системное ведение проектной документации (Jira, канбан).
— Взаимодействие с PM, DevOps и ML-командами.
— Фокусировка на product-thinking, метриках, пользовательском опыте и качестве.
Требования:
— Опыт работы в разработке от 8 лет (fullstack JS, backend/frontend/DevOps).
— Опыт лидирования команд от 5 лет (10+ человек) без микроменеджмента.
— Экспертиза в разработке высоконагруженных архитектур.
— Глубокое понимание и практический опыт работы с AI (LLM infra, fine-tuning, RAG, embeddings, vector DBs, Voice AI, CV, multimodal).
— Хард скиллы: Node.js, React, Next.js, React Native/Expo, GraphQL/REST/WebSockets/OAuth2/JWT, Python/FastAPI.
— Опыт работы с фреймворками: LangChain, LangGraph, Mastra, CrewAI, Autogen, HuggingFace, OpenAI, Claude, Mistral.
— Знание CI/CD, контейнеров, облачных решений, масштабирования, безопасности, observability (OpenTelemetry, Langfuse, Prometheus, Datadog), eval pipelines для AI.
— Софт скиллы: автономность, системность, лидерские качества, навык приоритизации, ориентация на результат.
— Русский — родной, английский — B2/C1 (большое преимущество).
Условия:
— Полностью удалённая работа.
— Возможность влиять на продукт и развивать инновационные AI-решения.
— Работа в динамичной и профессиональной команде.
Location: Argentina; Brazil; Colombia
Workplace: Remote
Solvd Inc. is a rapidly growing AI-native consulting and technology services firm delivering enterprise transformation across cloud, data, software engineering, and artificial intelligence. We work with industry-leading organizations to design, build, and operationalize technology solutions that drive measurable business outcomes.
Following the acquisition of Tooploox, a premier AI and product development company, Solvd now offers true end-to-end delivery—from strategic advisory and solution design to custom AI development and enterprise-scale implementation. Our capability centers combine deep technical expertise, proven delivery methodologies, and sector-specific knowledge to address complex business challenges quickly and effectively.
Solvd is seeking a Senior AI Engineer to join our team. This role will be essential in the winning of opportunities for the company, primarily focusing on supporting presales process and opportunities discovery with existing clients.
ABOUT THE PROJECT
Our client, a global e-commerce leader with a large-scale, service-oriented technology estate and complex cloud infrastructure, is seeking to elevate their customer support technology stack by introducing Agentic AI to streamline case workflow resolutions and by implementing an integrated platform to replace the fragmented set of solutions currently used by support agents.
Ultimately, our client aims to deliver a more personalized and satisfying support experience to end users - improving CSAT, reducing resolution time, and enhancing service quality across all channels.
We are developing a customer support research and resolution platform. The platform will include:
- data layer, provide a federated GraphQL interface that unifies access to multiple backend services, enabling low-latency, real-time data retrieval and transactional operations to support AI-driven workflows.
- agentic layer, supporting AI-assisted support workflows with human in the loop for validation and confirmation purposes
- research capability, allowing end users to intervene when AI is stuck or gives suggestions with low confidence - this capability should enable users to perform additional research, data lookups and actions execution using natural language prompts leveraging LLM and tools (lookups and mutating operations exposed via MCP servers)
The role will focus on designing, building and optimizing this agentic research flows for research capability. This is a multi-team, collaborative initiative that requires close coordination with other delivery teams, adherence to high engineering standards and a strong focus on integration and architectural alignment.
WHAT YOU’LL DO
- Design and implement AI-powered features: integrate LLM and build AI agents.
- Design and implement ent-to-end (frontend and backend) non-AI features, services and business logic that make the solution complete.
- Build and maintain MCP servers to expose domain data and capabilities as tools for AI agents.
- Implement RAG workflows to ground LLM responses in factual data using embeddings, chunking and vector databases.
- Instrument and optimize OpenAI integrations for cost, latency, and accuracy in production environments.
- Collaborate with product, design and architecture teams to craft exceptional user experiences built on AI.
- Participate in technical design reviews, shaping architectural decisions and engineering standards.
WHO ARE YOU
- You see engineering as an art of solving problems, using languages and frameworks as tools - not boundaries or limiting factors.
- You stay ahead of the curve, continuously tracking the latest developments in Generative AI and excited to be part of how it transforms digital solutions are how they are built.
- You know best practices of building AI agents leveraging OpenAI ecosystem (OpenAI Agents SDK specifically).
- You have 6+ years of server-side engineering experience, designing and building enterprise-scale software systems.
- You have a strong understanding of distributed systems design patterns.
- You have strong knowledge of different types of data stores (relational, document, vector, key-value) and understand when to use each effectively.
- You are fluent in React, Node.js, TypeScript and confident integrating OpenAI models in real-world applications.
- You are fluent in at least one non-JS programming language (Java is a strong advantage).
- You are able to express your thoughts and ideas clearly to different audiences, including non-technical stakeholders, bridging business and technical perspectives.
- You thrive in environments where AI isn’t a side feature but a core building block.
- You can take ownership of and drive feature implementation end-to-end, coordinating the work of multiple team members when needed.
- You have a strong understanding of Agile delivery methodologies and understand the importance of expectations management, estimations and commitments.
WHAT YOU BRING
- 6+ years of professional backend engineering experience, 3+ years with TypeScript/Node.js.
- 9+ months of commercial experience building AI features using OpenAI ecosystem.
- Hands-on expertise with the OpenAI Agents SDK - building and orchestrating AI agents with capabilities such as tool/function calling, assistants, streaming interactions, and stateful workflows.
- Experience designing and implementing MCP servers to integrate external capabilities with LLMs.
- Proven ability to design structured prompt architectures with evals, guardrails and observability.
- Familiarity with RAG: embeddings, chunking, vector search, retrieval orchestration.
- Strong fundamentals in building secure, performant, production-grade APIs and backend systems.
- Experience with CI/CD, testing, monitoring, and cloud infrastructure.
ADDITIONAL SKILLS
- Understanding concepts of semantic search is a strong advantage.
- Experience playing a role of team leaders is a strong advantage.
- Exposure to other LLM providers (e.g., Anthropic, Mistral AI, Hugging Face) is a strong advantage.
- Experience with streaming UIs, conversational UX, and SSE/WebSockets.
- Knowledge of prompt injection defenses and responsible AI practices.
TECH STACK
This platform is a green-field development.
- Core: TypeScript, Node.js, React/Next.js, Java
- AI: OpenAI API, MCP servers, OpenAI Agents SDK
- APIs: GraphQL, REST APIs, SOAP (downstream services - you won’t have to deal with them much)
- Data storages: Postgres + pgvector, Pinecone (or other vector DBs), RAG pipelines
- Infra: proprietary managed cloud (you won’t have to deal with any infra-level aspects
When you join Solvd, you'll…
- Shape real-world AI-driven projects across key industries, working with clients from startup innovation to enterprise transformation.
- Be part of a global team with equal opportunities for collaboration across continents and cultures.
- Thrive in an inclusive environment that prioritizes continuous learning, innovation, and ethical AI standards.
Ready to make an impact?
If you're excited to build things that matter, champion responsible AI, and grow with some of the industry’s sharpest minds. Apply today and let’s innovate together.
Solvd is an equal opportunity employer.
Location: San Francisco; New York
Workplace: Hybrid
ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products.
THE ROLE
We’re looking for a customer-obsessed software engineer to come ship with us. You’ll own features like multi-node training and products like serverless reinforcement learning (RL) from conception to MVP (and from MVP to GA!). You’ll work through the stack, architecting solutions from API and UI down to our infrastructure layer. You’ll fine tune models yourself to develop an understanding of user workflows. You’ll work closely with research engineers leveraging state-of-the-art training techniques to build experiences that accelerate model development and solve for real pain points. If you’re excited to dive deep into the training, let’s talk!
THE PRODUCT
Take a look at what we’ve built so far:
- Overview of the product so far https://www.baseten.co/blog/baseten-training-is-ga/#training-is-now-ga
- Training docs overview https://docs.baseten.co/training/overview
- Story of the Training product https://www.baseten.co/blog/a-q-a-from-inference-to-training-the-inside-story-of-baseten-s-newest-product/
- Research we've done https://www.baseten.co/resources/research/
EXAMPLE INITIATIVES
- Checkpointing Pipeline: Our checkpointing pipeline starts with automated checkpointing, a feature that ensures that versions of models created during training are automatically backed up to the cloud. Users are able to then deploy checkpoints seamlessly into inference servers, providing point-and-click integrations into inference frameworks like vLLM and Baseten’s Inference Stack. This enables customers to quickly evaluate the performance of their checkpoints with real traffic.
- Multinode training: Multinode training enables customers to easily run training jobs across multiple compute nodes, enabling users to train large models like GLM 4.7 and DeepSeek. We’ve built deeply at the Kubernetes layer to ensure that scheduling, startup, inter-node communication, and shutdown happen seamlessly under the hood and as the user expects.
- Training DX: Customers come to train on Baseten because it helps them get to value fast. To do this, we ensure that the features we ship aren’t just fast, but are easy to iterate with. We enhanced Baseten’s metrics from pod-level GPU summaries to per-GPU and per-Node. We’ve built a CLI experience that caters to terminal users, and UI experiences that enable user to seamlessly manage their training jobs.
RESPONSIBILITIES
- Iterate like crazy
- Design ergonomic APIs and abstractions to model complex resources and lifecycles
- Work throughout the stack (API layer, backend and database implementation, infra layer; frontend is a plus) to implement features.
- Fine-tune and deploy models to develop intuition around training workflows.
- Partner closely with model developers and world-class research engineers to understand the requirements and pain points of post-training workflows.
- Drive long-term improvements to improve reliability of systems and velocity of development
- Fix bugs & resolve customer issues with urgency
REQUIREMENTS
- 5+ years experience building software applications
- Deep knowledge of the web stack, databases, and distributed systems
- Experience developing developer tooling or infrastructure products for external or internal users.
- Good taste in product, particularly developer-oriented tools
- Interest in ML/AI infrastructure and willingness to learn
- Driven by high agency and ownership
- Strong communication skills with the ability to bridge technical depth and business needs
NICE TO HAVE
- Experience launching features and products through different release cycles (MVP, Beta, GA, etc.)
- Experience with model development methods and paradigms, like Supervised Fine-Tuning, Reinforcement Learning, Synthetic Data Generation, LoRA, Full Finetunes, etc.
- Familiarity or experience with the open source training stack and frameworks (NCCL, PyTorch, Megatron, NemoRL, VeRL, Axolotl, HF Trainer) and distributed training techniques (FSDP, DeepSpeed).
- Experience developing AI products, tooling, or agents
- Frontend fluency
BENEFITS
- Competitive compensation, including meaningful equity
- (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents
- Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
- Paid parental leave
- Fertility and family-building stipend through Carrot
- (U.S. only) Company-facilitated 401(k)
- Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
Location: Remote - United States
Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit
www.redditinc.com
.
The Storage Infra team is looking to hire a Senior Software Engineer who is excited to solve large scale storage infrastructure problems.
Reddit’s mission is to bring community and belonging to everyone in the world. Reddit is a community of communities where people can dive into anything through experiences built around their interests, hobbies, and passions. With more than 50 million people visiting 100,000+ communities daily, it is home to the most open and authentic conversations on the internet. From pets to parenting, skincare to stocks, there’s a community for everybody on Reddit. For more information, visit redditinc.com.
Our caching layer serves 100s of millions of queries/second serving 100s of billions of keys.We do this while efficiently storing 100s of Terabytes of data across thousands of machines. As a senior engineer, you will partner closely with your team and our biggest users (ML/AI/Search) to build technical solutions that can scale to Reddit’s product growth. You’ll do this while maintaining an extremely high availability and reliability bar to ensure that Reddit’s users continue to get a great experience across our entire product portfolio.
In your day-to-day, you can expect to:
Contribute to developing the team and organization’s long term technical strategy.
Refine and maintain our data storage infrastructure to support the storage and caching needs of products supporting hundreds of millions of users.
Own the infrastructure (managed and self-hosted) that supports data writes, reads and storage along with the necessary tooling and automation to efficiently operate the infrastructure.
Mentor other engineers on how to design, build, and evangelize services used by hundreds of engineers across Reddit
Who you might be:
5+ years of experience building internet-scale software, preferably with a focus on machine learning storage infrastructure.
Software development experience in one or more general purpose programming languages; Golang, Python, C++, Java
Hands-on experience implementing features, optimizations, and bug fixes to distributed storage systems.
Excellent communication skills to collaborate with stakeholders in engineering, data science, machine learning, and product.
Degree in Computer Science or equivalent technical field.
Experience working closely with Storage technologies like Postgres, Mysql, Cassandra, Redis, Memcache is a huge plus!
Pay Transparency:
This job posting may span more than one career level.
In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit
https://www.redditinc.com/careers/
.
To provide greater transparency to candidates, we share base salary 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, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below.
The base salary range for this position is:
$217,000
—
$303,900 USD
In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews.
During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our
Candidate Privacy Policy for Potential Employees and Contractors
.
Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.
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