Location: Hong Kong
Workplace: hybrid
We’re looking for a hands-on Engineering Lead to build and scale our Compliance & Risk Platform.
This role is focused on backend engineering and technical leadership across compliance systems including KYC/KYB, transaction monitoring, sanctions screening, operational tooling, and internal risk infrastructure.
You’ll work closely with Compliance, Product, Operations, and Engineering teams to build scalable systems that support global regulatory requirements while maintaining strong product and operational efficiency.
What You’ll Be Doing
Lead the design and development of backend systems powering compliance and risk products
Build scalable services and APIs primarily using Go
Own technical architecture for compliance-related systems including onboarding, monitoring, restrictions, and internal tooling
Partner closely with Compliance, Risk, AML Ops, and Product teams to translate regulatory requirements into scalable technical solutions
Design reliable, auditable, and secure systems with strong observability and operational workflows
Improve automation and operational efficiency across compliance processes
Mentor engineers and help establish strong engineering standards and backend best practices
Participate in hiring and help scale the engineering team
What You'll Bring
7+ years of software engineering experience
Strong backend engineering expertise, particularly with Go
Experience building production-grade APIs and distributed systems
Strong understanding of system reliability, security, and auditability
Comfortable working cross-functionally with compliance and operational stakeholders
Startup mindset with strong ownership and execution ability
Experience with cloud infrastructure and modern engineering workflows
Nice to Have
Experience working on compliance, fintech, payments, fraud, identity, or risk-related products
Familiarity with systems such as KYC/KYB, AML, sanctions screening, transaction monitoring, or operational tooling
Experience in crypto, stablecoins, or Web3 infrastructure
Experience building internal tooling and workflow systems
Exposure to multi-jurisdiction compliance environments
Familiarity with event-driven architectures and high-scale backend systems
Experience with AWS/GCP, Kubernetes, Terraform, PostgreSQL, or Redis
Location: San Francisco
Workplace: hybrid
About KAST
KAST is redefining stablecoin banking for global citizens, crypto professionals, Web3-native businesses, and high-inflation markets hungry for USD-backed banking. Backed by top-tier global investors and led by the ex-APAC CEO of Circle, our leadership team spans Circle, Airwallex, Revolut, Wise, Grab, Zoom, AWS, and leading OTC desks. We’ve scaled from zero to nearly a million users at ridiculous speed.
One account lets a business hold USD and stablecoins, spend on cards worldwide, pay contractors and vendors in 170+ countries over local rails, SWIFT, SEPA, and stablecoins, and move between crypto and fiat across 9 chains. Businesses incorporated in the US, UK, UAE, Brazil, and Australia onboard under one program.
We came out of beta in August. Monthly card volume is up more than 10x since then, and hundreds of active businesses run on KAST Business today. Our fastest-growing customers are performance marketers: agencies, media buyers, and e-commerce brands funding ad spend across Meta, Google, and TikTok.
The team
KAST Business is led by operators from Stripe, Revolut, Airwallex, Wise, and Circle. Those five companies wrote the playbook for modern payments infrastructure, global business accounts, cross-border money movement, and stablecoins. Our leaders built and scaled products at each of them. Now they are building the next category leader here.
You learn the business from people who have done this before, at a company small enough for your work to show up in the numbers every week.
The role
You will be one of the first Account Executives on KAST Business. You find, close, and activate new customers, and you help write the playbook future reps will run. You report to the US General Manager and work with Product, Compliance, and Operations every day.
This role suits a hungry, coachable seller early in their career who wants ownership, a steep learning curve, and a number to chase.
Responsibilities
Own the full sales cycle for new customers, from first touch through KYB, funding, and first transaction
Prospect every day across phone, email, LinkedIn, and the communities where media buyers and agency owners trade notes
Build your own lead lists from external data, internal signals, and customer referrals
Run discovery on how a business funds ad accounts, where cards decline, what FX costs them, and who they pay abroad
Qualify on account economics and focus your time on businesses with real card spend and payout volume
Partner with Onboarding, Compliance, and Support to get new customers live within days
Grow accounts after launch through more card spend, more cardholders, and more payouts
Bring field insight to Product and GTM every week: objections, lost deals, and feature requests
Become an expert on KAST Business positioning, pricing, and the competitive set
Requirements
1 to 3 years in a quota-carrying sales role (SDR, BDR, or AE), or experience starting a business and selling for it yourself
Working knowledge of performance marketing. You have run paid campaigns, worked at an agency, or sold to media buyers
Payments fundamentals: cards, interchange, FX markups, wires, and cross-border payouts
Drive. You make the calls without a reminder, and a no on Monday does not slow down Tuesday
Coachability. You take direct feedback and change how you sell within the week
Comfort with ambiguity. You sell the product as it ships today, log what customers ask for, and keep deals moving
Ownership of your number. You know where your pipeline stands before anyone asks
Clear written and spoken communication with founders, finance leads, and operators
A basic grasp of stablecoins and why a business holds USDC
Nice to haves
Hands-on crypto experience: wallets, exchanges, or on-chain payments
Portuguese or Spanish fluency
Experience at an agency, ad tech company, payments company, or fintech startup
A network in performance marketing, affiliate, or e-commerce communities
Experience selling to SMB founders and finance teams
Задачи:
— Привлекать новых клиентов из сегмента малого и среднего бизнеса с выручкой от 20 млн рублей.
— Проводить холодные телефонные переговоры с потенциальными клиентами по предоставленной базе.
— Выявлять потребности предпринимателей и подбирать подходящие банковские продукты.
— Продавать комплексные решения для бизнеса: расчетно-кассовое обслуживание (РКО), кредитование, эквайринг, зарплатные проекты, депозиты, продукты внешнеэкономической деятельности (ВЭД) и другие услуги.
— Развивать отношения с привлечёнными клиентами и увеличивать доходность клиентского портфеля.
— Готовить коммерческие предложения, сопровождать переговоры и доводить сделки до результата.
— Выполнять индивидуальные планы продаж и KPI.
Требования:
— Опыт холодных телефонных банковских B2B-продаж не менее одного года.
— Знание минимум пяти банковских продуктов для бизнеса, включая РКО, эквайринг, факторинг, лизинг, зарплатные проекты, кредитование и другие.
— Понимание специфики работы с предпринимателями и корпоративными клиентами.
— Навыки выявления потребностей, ведения переговоров и комплексных продаж.
— Умение работать с возражениями и ориентация на выполнение плана.
— Часовой пояс кандидата должен быть в пределах московского времени плюс-минус два часа.
Условия:
— Доход от 144 000 ₽ на руки при выполнении KPI, максимальный доход до 186 750 ₽.
— Фиксированная часть зарплаты 58 500 ₽ плюс KPI.
— График работы 5/2 с 09:00 до 18:00 по московскому времени, удалённо по России.
— Официальное оформление по ТК РФ.
— Обучение на старте и поддержка руководителя группы.
— Корпоративный телефон и SIM-карта.
— Компенсация питания в офисные дни.
— После испытательного срока предоставляется ДМС, страхование от несчастных случаев, льготное страхование близких и специальные тарифы и скидки от партнёров.
УдалённоКазань; Ваш часовой пояс по Мск +- 2 часа
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.
Задачи:
- Стратегическое и операционное управление банком.
- Обеспечение непрерывности бизнеса, достижение финансовых целей.
- Усиление позиций банка на локальном рынке.
Требования:
- Успешный опыт работы не менее 2 лет на руководящих банковских позициях: Председатель или член правления банка / Директор обособленного подразделения банка.
- Глубокое знание рынка банковских услуг для среднего и малого бизнеса.
- Соответствие ЦБ РФ: безупречная деловая репутация, полное соответствие квалификационным требованиям, установленным Банком России.
Условия:
- Возможность возглавить ключевой банк региона и управлять его будущим.
- Высокая степень автономии в принятии решений и прямой контакт с акционерами.
- Хороший уровень вознаграждения: оклад и прозрачные бонусы (от финансовых результатов).
- Гарантируем полную конфиденциальность на всех этапах отбора.
Задачи:
— Ведение потокового голосового конвейера STT, LLM и TTS с обеспечением сквозной задержки 1–2 секунды по p50 и p90.
— Реализация barge-in, стриминга токенов, таймаутов и переключения между провайдерами.
— Настройка определения конца фразы с учётом долгих детских пауз.
— Создание стенда автоматической оценки детской речи и каскада безопасности с обновлением правил без выпуска прошивки.
— Формирование ответов на проверенном контенте через RAG, шаблоны и tool calling.
— Настройка трассировки, расчёта стоимости сессии и zero retention у провайдеров.
Требования:
— Опыт работы от 4 лет в ML/LLM, включая минимум 1,5 года с голосовыми агентами в продакшене.
— Опыт работы с потоковыми каскадами, barge-in и fallback, Pipecat, LiveKit Agents или аналогичными технологиями.
— Оптимизация задержки по перцентилям, работа с метриками WER и TTFT, понимание юнит-экономики STT/TTS.
— Опыт работы с guardrails и классификацией безопасности для чувствительной аудитории.
— Знание Python, async, WebSocket/WebRTC, Docker, облачных платформ и английского языка на уровне не ниже B2.
Плюсом будет:
— Опыт работы с детскими или EdTech-продуктами.
— Знание стандартов COPPA, PRIVO и kidSAFE.
— Опыт работы с детской или акцентной речью, арабским языком в STT/TTS.
— Навыки работы с AEC, аудиостримингом с Linux-устройств и speech-to-speech.
Задачи:
— проектировать архитектуру нового ядра AI-продукта с 4,5+ млн пользователей;
— работать с высокой нагрузкой;
— взаимодействовать напрямую с основателем и CTO;
— предлагать решения и влиять на развитие продукта и AI-функций.
Требования:
— 5+ лет коммерческой разработки на PHP/Laravel;
— опыт проектирования архитектуры и работы с высокой нагрузкой;
— готовность брать ответственность и предлагать решения;
— умение взаимодействовать с фронтенд-разработчиками, продуктом, дизайном и аналитикой;
— практический опыт использования нейросетей в разработке;
— опыт создания изображений, видео или аудио с помощью нейросетей будет преимуществом.
Условия:
— удалённая работа из России;
— полная занятость.
Задачи:
— переносить UI/UX-макеты в React-компоненты
— разрабатывать масштабируемые компоненты интерфейса
— участвовать в выпуске новых функций и код-ревью
— обеспечивать качество и производительность кода
— исправлять ошибки интерфейса и проблемы юзабилити
Требования:
— 3–5 лет практического опыта во фронтенд-разработке
— уверенное владение React.js, JavaScript ES6+, HTML5 и CSS3
— понимание React Hooks и жизненного цикла компонентов
— опыт работы с REST API и асинхронной обработкой данных
— знание Git и процессов совместной разработки
— навыки коммуникации и командной работы
— Обладатели исследовательской докторской степени в профильной области не допускаются. — Как правило, нужна магистратура или эквивалентная квалификация в естественных науках или науках о жизни и исследовательский опыт.
Задачи:
— разработка высоконагруженных систем с использованием микросервисной архитектуры.
Требования:
— опыт работы с C#, .NET Core, .NET;
— знание MS SQL Server и T-SQL;
— опыт работы с Apache Kafka и PostgreSQL;
— опыт разработки микросервисов.
Условия:
— удалённая работа.
Откликнуться можно через Runello-бот.
Задачи: работа с 1С, включая 1С:Бухгалтерия, 1С:ЗУП, а также ведение ресторанного учета, калькуляций и инвентаризаций, разработка в 1С.
Компания PIZZA MIA — популярный уральский бренд ресторанов быстрого питания, который за 27 лет вырос в сеть из 47 ресторанов в 15 городах России.
Приглашаем специалиста 1С в команду для работы с указанным стеком.
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 Opportunity
We are looking for a seasoned engineer to build and improve the
ML
and data
infrastructure behind our risk and
fraud
prevention systems. You will work
hands-on to move models from experimentation into reliable production services,
improve model execution performance, and develop data pipelines that support
training, evaluation, and real-time decisions. You will take ownership of your
work, identify improvements proactively, and deliver with limited guidance
What You’ll Be Doing
Improve model inference latency, throughput, resource utilization, and cost.
Profile the prediction path—from feature retrieval and preprocessing to model execution—and implement measurable improvements while preserving model quality.
Build and maintain infrastructure for model packaging, versioning, deployment, serving, monitoring, and
rollback
across cloud platforms and regions.
Develop and optimize offline data pipelines using Databricks, Apache
Spark
, and
warehouse or lakehouse technologies. Address data modeling, partitioning, joins, shuffles, skew, incremental processing, and cost.
Work on offline and online feature pipelines, supporting point-in-time correctness, consistent feature definitions, freshness, lineage, and reproducible backfills.
Build and maintain reliable feature services and data integrations for risk models and decision systems.
Take ownership of projects and operational issues, communicate progress and tradeoffs, and collaborate with ML, data engineering, cloud infrastructure, security, and product teams.
Contribute to technical discussions, share knowledge, and help teammates through code reviews and collaboration.
What We Look For In You
Experience building and operating distributed systems, ML infrastructure, or
data platforms, with ownership of meaningful production components.
Hands-on experience improving production model performance, such as latency, throughput, resource utilization, or cost.
Strong experience with Databricks and Spark, or comparable offline data platforms, including execution plans, distributed query optimization, storage layouts, data correctness, and workload cost management.
Experience with the model lifecycle, including training and serving integration, validation, deployment, observability, and rollback.
Strong Python and
SQL
skills, plus proficiency in at least one backend or
systems language such as Java, Scala, Go, or C++.
Ability to work independently through loosely defined problems, make sound implementation decisions, and deliver maintainable systems with limited guidance.
Nice to Haves
SageMaker, Alibaba Cloud PAI/EAS, or comparable ML platforms.
Inference optimization using tools such as ONNX Runtime, TensorRT, or Triton.
Delta Lake, MLflow, feature stores, Kafka, Flink, and low-latency data stores.
Fraud detection or financial risk systems.
Fluency in Mandarin
Perks & Benefits
Competitive total compensation package
L&D programs 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:
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.
The salary range for this position is $178,888 to $268,333
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 OKX internal or external careers site.
#LI-SK1
#LI-HYBRID
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: Sydney, Australia
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
We are seeking a Manager, Enterprise Sales for Industries to lead the growth of our industries businesses across Australia and New Zealand, bringing Claude to some of the region's most significant organisations. In this critical leadership position, you will build and lead a team of enterprise sales professionals, shape and execute our Industries go-to-market strategy, and be accountable for revenue across a portfolio of strategic accounts. You will work directly with C-level executives on their AI agendas, and bring together our Applied AI, Product, Marketing and Customer Success teams, along with our technology and cloud partners, to take customers from ambition to adoption at scale. You will also represent ANZ's priorities to local and global leadership, so that our approach reflects the regulatory, commercial and cultural landscape of both markets. This is an exceptional opportunity for a seasoned sales leader to shape the adoption of safe, frontier AI in one of the world's most sophisticated technology markets.
Key responsibilities
Shape and execute the Industries go-to-market strategy across Australia and New Zealand, setting priorities, account coverage and plans for a defined set of strategic target accounts
Build, lead and develop a high-performing enterprise sales team, setting a high bar for hiring, coaching and performance
Own team revenue performance, with rigorous pipeline management, forecasting and territory planning
Lead your team through the most complex, multi-stakeholder sales processes, from first executive engagement to negotiation and close
Build trusted relationships with C-level and senior executives, and act as an executive sponsor for key customers
Develop strategic partnerships with major technology partners and cloud providers active in the ANZ market
Collaborate with Applied AI, Product, Marketing and Customer Success teams to adapt Anthropic's offerings for the ANZ market and turn customer feedback into product direction
Conduct market analysis to identify new opportunities and refine our regional approach across industries
Craft and execute strategies to differentiate Anthropic and capture market share in a fast-moving, competitive market
Build and refine the sales methodology, playbooks and operating rhythm that allow the team to scale
Ensure alignment between regional operations and global strategy, representing ANZ's priorities to local and global leadership
Represent Anthropic with key customers and at industry and partner events, communicating our trust and safety principles effectively
Minimum qualifications
15+ years of sales experience, including 5+ years leading enterprise sales teams
A proven track record of success selling technical API products, cloud services or SaaS solutions
Demonstrated ability to build and scale enterprise sales teams in a high-growth environment
Success selling into Australia's and New Zealand's leading enterprises, with a strong understanding of how they evaluate, buy and adopt new technology
Experience leading large, complex sales cycles and building internal champions across business, technology, risk and procurement stakeholders
Strong executive presence, with the ability to engage C-level leaders and explain technical concepts clearly to non-technical audiences
Strong operational rigour in pipeline management, forecasting, and account and territory planning
A history of creative problem-solving and persistence in competitive markets
Preferred qualifications
Experience leading enterprise sales teams across multiple industries in ANZ
Experience selling through partner sales motions, ideally through cloud partners (AWS, Azure, Google Cloud)
Deep knowledge of the enterprise technology industry, particularly in areas like cloud services, data management or AI
Experience bringing new or emerging technology categories to market
Familiarity with the Australian and New Zealand regulatory landscape, including privacy, data sovereignty and AI governance
Experience representing a regional market within a global organisation and influencing senior leadership
A passion for AI and a commitment to its safe and responsible development
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: разработка программных решений на Java с использованием технологий Spring Boot, Quarkus, Micronaut.
Требования: опыт работы с Kubernetes, Docker, OpenShift, Kafka.
Компания SimbirSoft — ведущая ИТ-компания России с 1500+ профессионалами, работающая с крупнейшими компаниями в сфере финансов и ритейла.
Задачи: подбор эффективного персонала с использованием базы кандидатов и сотрудников крупных компаний.
Требования: владение навыками продаж, проведение онлайн-презентаций, коммуникация и работа с клиентами через видеосвязь.
Условия: удалённая работа в международной команде профессиональных HR-специалистов.
Задачи:
— Отвечать за финансовый результат бизнеса.
— Управлять бизнесом или направлением: продажи, продукт и работа с клиентами.
Требования:
— Опыт от 5 лет на позиции первого лица с ответственностью за прибыль и выручку.
— Знание рекламного рынка России и опыт работы с крупными клиентами.
— Опыт управления бизнесом или направлением: продажи, продукт и работа с клиентами.
— ИИ — привычный рабочий инструмент.
— Будет плюсом опыт запуска новых продуктов, каналов продаж или партнерств.