в задачи входит разработка и поддержка DAG’ов в Apache Airflow, настройка CDC‑процессов для передачи данных в аналитическое хранилище, создание и оптимизация витрин данных на SQL, реализация трансформаций на Apache Flink, контроль качества данных инструментами Data Quality и оптимизация их обработки.
Location: Ukraine; Serbia; Yerevan; Spain; Slovakia; Slovenia; Poland
Workplace: remote
Provectus is an AWS Premier Partner and an Anthropic Strategic Partner, working at the frontier of applied AI. We help enterprises turn Claude, agentic systems, and their own data into measurable business outcomes — through bespoke applications, managed services, and advisory engagements. With offices in North America, LATAM, and EMEA, we partner with clients worldwide.
Our work centers on two verticals — Financial Services & Insurance and Healthcare & Life Sciences — where we deploy five pre-built AI Blueprints: Submission Flow, Portfolio Lens, Asset Flow, Revenue Flow, and Evidence Lens. Each Blueprint rebuilds a critical business process front to back, shipped from working code and tuned to a client's specific book, regulators, and operating posture.
Our team holds 100+ AWS certifications, is Claude Code certified, and co-delivers Anthropic's Agentic SDLC program, Cowork Activation, and AI Blueprint engagements.
Where this role sits
You will work in a small, senior pod alongside an FDX; our delivery arc is Sprint → Enable → Realize:
Forward Deployed Executive (FDX) owns the commercial relationship and the business outcome. Works alongside the client's leadership or C-suite level to move the client's KPIs — revenue growth, cost reduction, risk reduction.
Forward Deployed Engineer (FDE) embeds with a client to change how that client operates. You own the method; nobody hands you a ticket. You map the client workflow as it actually happens, identify the business problem underneath it, build a working AI solution, present to the client in the language of outcomes, and transfer it. Provectus maintains industry Blueprints — working systems that have already shipped for a client in the same industry — so you begin from running code and tuning it to this client's specific book, regulators, and operating posture. You will be measured on whether the Business Unit's number moved, not on hours or scope delivered.
What You’ll Do:
Take the seat
Sit with the client and the Forward Deployed Executive at the start of an engagement. Learn the function from inside, not from a requirements doc, and redesign the function from first principles.
Reach working fluency in a new domain — insurance underwriting, healthcare revenue cycle, asset flow.
Build
Design and ship production GenAI systems into the customer’s environment (cloud-native data, LLM-based, and agentic AI solutions). Implement and optimize RAG systems for production use cases
Build the evaluation harness before you build the feature. Define what working means, instrument it, and let the evals drive the design.
Write production code across the stack — AI, backend services, data pipelines. We choose tools to fit the customer.
Take systems to production on AWS (GCP or Azure where the customer requires it): containerised, CI/CD, automated testing, monitoring, and maintainable after we leave. Hand the system over to the client.
Start from the blueprint, and feed the blueprint. What you learn in the field becomes the baseline the next engagement starts from.
Lead architecture reviews, produce technical design documents, and contribute to standards. Mentor engineers and share knowledge across the team.
Own the outcome.
Work in a pair with a FDX who carries the Business Unit’s KPIs. Your work is measured against the same number.
Own the technical direction of technical proposals and scoping. Drive adoption. Change management is part of the engineering job here.
Be credible with the customer’s engineers and their executives.
Shape what we commit to before we commit to it.
What You’ll Bring:
Mindset
Proactive and self-directed; identify problems before they're handed to you
Comfort with ambiguity and ownership. Engagements start underspecified by design. Closing that gap is the job
B2+ English, comfortable collaborating across distributed, multicultural teams
Client Engagement
You are willing to spend time understanding and doing someone else’s job on the client's side before you write a line of code
Credible with senior stakeholders — you can hold a redesign conversation with a BU head and a scoping conversation with a CTO, presenting outcomes to them
You can produce a scoped, phased delivery plan with clear deliverables, dependencies, and risks — and estimate what it will cost to build and to run
Technical depth
7+ years building and running production systems.
Solid AI/ML foundations. You understand what the models do well enough to reason about failure modes
Designed and shipped to production LLM applications and agentic workflows — not demos, not POCs, not notebooks
Agentic orchestration: multi-step workflows, graph-based orchestration, tool use, state management, and recovery from partial failure
Experience with LLM APIs (Anthropic, AWS Bedrock, or OpenAI) and agent frameworks.
Experience building and optimizing RAG systems in production
Strong engineering fundamentals — dropped into an unfamiliar codebase or language, you’re productive. Python and/or TypeScript proficiency; depth matters more than stack.
Experience in making and defending architectural trade-off decisions
Hands-on AWS production depth: Bedrock, Bedrock AgentCore, Lambda, ECS, S3, SQS, ECR, or similar. GCP or Azure is a plus
Cloud-native delivery: containers, ECS or Kubernetes, IaC, and CI/CD applied to AI pipelines
You evaluate. You have built or owned an eval suite for a non-deterministic system, and you can explain what you measured, how you produced ground truth, and what gated a release
Model and agent monitoring, drift detection
Cost and latency discipline: model tiering, caching, and the ability to say what a workload costs to run before it runs
Hands-on production experience with the Claude ecosystem — Claude Code, CLAUDE.md, hooks, skills files. Spec-driven development — writing the intent, constraints, and acceptance criteria before you let an agent build — is a strong plus
MCP: you can say why an agent would prefer it to a REST integration. Having authored a server is a plus
Nice to have:
Prior experience as a founder, CTO, or engineering leader who has chosen to return to individual contribution
Experience in one of the industries: financial services, insurance, healthcare
Consulting, professional services, or other embedded customer-facing delivery
A2A: you can explain agent-to-agent interoperability
AWS and Claude Code Certifications
CI/CD pipeline experience (GitHub Actions, GitLab CI)
Experience in an additional language (Go, TypeScript, or Rust)
Experience with Apache Spark, Apache Airflow, Kafkа
What We Offer:
The chance to shape how leading enterprises across LATAM, Europe, and North America adopt AI, from strategy through first deployment
A forward-deployed model working in small, senior teams alongside Principal Architects and Forward Deployed Engineers
A growing AI delivery practice where you help build the tooling and frameworks, not just use them
Remote-friendly culture
Internal training programs with full support for Claude, AWS, and other professional certifications, conference attendance
Career growth; we actively develop our engineers
Access to the latest AI tools and premium subscriptions
Long-term B2B collaboration
Private medical insurance or a budget for your medical needs
Paid sick leave, vacation, and public holidays
Equipment and all the tech you need for comfortable, productive work
How we hire:
Intro conversation. The role, your background and aspirations, tech questions.
Technical interview with live engineering sessions. Real problems, your own editor, you may use an LLM assistant
HR Interview. Soft skills and expectations
HM interview. Tech questions; a live engineering session is also possible
Location: North Macedonia; Montenegro; Moldova; Bulgaria; Czechia; Bosnia and Herzegovina; Croatia
Workplace: remote
Provectus is an
AWS Premier Partner
and an
Anthropic Strategic Partner
, working at the frontier of applied AI. We help enterprises turn Claude, agentic systems, and their own data into measurable business outcomes — through bespoke applications, managed services, and advisory engagements. With offices in North America, LATAM, and EMEA, we partner with clients worldwide.
Our work centers on two verticals —
Financial Services & Insurance
and
Healthcare & Life Sciences
— where we deploy five pre-built AI Blueprints: Submission Flow, Portfolio Lens, Asset Flow, Revenue Flow, and Evidence Lens. Each Blueprint rebuilds a critical business process front to back, shipped from working code and tuned to a client's specific book, regulators, and operating posture.
Our team holds 100+ AWS certifications, is Claude Code certified, and co-delivers Anthropic's Agentic SDLC program, Cowork Activation, and AI Blueprint engagements.
Where this role sits
You will work in a small, senior pod alongside an FDX; our delivery arc is Sprint → Enable → Realize:
Forward Deployed Executive (FDX) owns the commercial relationship and the business outcome. Works alongside the client's leadership or C-suite level to move the client's KPIs — revenue growth, cost reduction, risk reduction.
Forward Deployed Engineer (FDE) embeds with a client to change how that client operates. You own the method; nobody hands you a ticket. You map the client workflow as it actually happens, identify the business problem underneath it, build a working AI solution, present to the client in the language of outcomes, and transfer it. Provectus maintains industry Blueprints — working systems that have already shipped for a client in the same industry — so you begin from running code and tuning it to this client's specific book, regulators, and operating posture. You will be measured on whether the Business Unit's number moved, not on hours or scope delivered.
What You’ll Do:
Take the seat
Sit with the client and the Forward Deployed Executive at the start of an engagement. Learn the function from inside, not from a requirements doc, and redesign the function from first principles.
Reach working fluency in a new domain — insurance underwriting, healthcare revenue cycle, asset flow.
Build
Design and ship production GenAI systems into the customer’s environment (cloud-native data, LLM-based, and agentic AI solutions). Implement and optimize RAG systems for production use cases
Build the evaluation harness before you build the feature. Define what working means, instrument it, and let the evals drive the design.
Write production code across the stack — AI, backend services, data pipelines. We choose tools to fit the customer.
Take systems to production on AWS (GCP or Azure where the customer requires it): containerised, CI/CD, automated testing, monitoring, and maintainable after we leave. Hand the system over to the client.
Start from the blueprint, and feed the blueprint. What you learn in the field becomes the baseline the next engagement starts from.
Lead architecture reviews, produce technical design documents, and contribute to standards. Mentor engineers and share knowledge across the team.
Own the outcome.
Work in a pair with a FDX who carries the Business Unit’s KPIs. Your work is measured against the same number.
Own the technical direction of technical proposals and scoping. Drive adoption. Change management is part of the engineering job here.
Be credible with the customer’s engineers and their executives.
Shape what we commit to before we commit to it.
What You’ll Bring:
Mindset
Proactive and self-directed; identify problems before they're handed to you
Comfort with ambiguity and ownership. Engagements start underspecified by design. Closing that gap is the job
B2+ English, comfortable collaborating across distributed, multicultural teams
Client Engagement
You are willing to spend time understanding and doing someone else’s job on the client's side before you write a line of code
Credible with senior stakeholders — you can hold a redesign conversation with a BU head and a scoping conversation with a CTO, presenting outcomes to them
You can produce a scoped, phased delivery plan with clear deliverables, dependencies, and risks — and estimate what it will cost to build and to run
Technical depth
7+ years building and running production systems.
Solid AI/ML foundations. You understand what the models do well enough to reason about failure modes
Designed and shipped to production LLM applications and agentic workflows — not demos, not POCs, not notebooks
Agentic orchestration: multi-step workflows, graph-based orchestration, tool use, state management, and recovery from partial failure
Experience with LLM APIs (Anthropic, AWS Bedrock, or OpenAI) and agent frameworks.
Experience building and optimizing RAG systems in production
Strong engineering fundamentals — dropped into an unfamiliar codebase or language, you’re productive. Python and/or TypeScript proficiency; depth matters more than stack.
Experience in making and defending architectural trade-off decisions
Hands-on AWS production depth: Bedrock, Bedrock AgentCore, Lambda, ECS, S3, SQS, ECR, or similar. GCP or Azure is a plus
Cloud-native delivery: containers, ECS or Kubernetes, IaC, and CI/CD applied to AI pipelines
You evaluate. You have built or owned an eval suite for a non-deterministic system, and you can explain what you measured, how you produced ground truth, and what gated a release
Model and agent monitoring, drift detection
Cost and latency discipline: model tiering, caching, and the ability to say what a workload costs to run before it runs
Hands-on production experience with the Claude ecosystem — Claude Code, CLAUDE.md, hooks, skills files. Spec-driven development — writing the intent, constraints, and acceptance criteria before you let an agent build — is a strong plus
MCP: you can say why an agent would prefer it to a REST integration. Having authored a server is a plus
Nice to have:
Prior experience as a founder, CTO, or engineering leader who has chosen to return to individual contribution
Experience in one of the industries: financial services, insurance, healthcare
Consulting, professional services, or other embedded customer-facing delivery
A2A: you can explain agent-to-agent interoperability
AWS and Claude Code Certifications
CI/CD pipeline experience (GitHub Actions, GitLab CI)
Experience in an additional language (Go, TypeScript, or Rust)
Experience with Apache Spark, Apache Airflow, Kafkа
What We Offer:
The chance to shape how leading enterprises across LATAM, Europe, and North America adopt AI, from strategy through first deployment
A forward-deployed model working in small, senior teams alongside Principal Architects and Forward Deployed Engineers
A growing AI delivery practice where you help build the tooling and frameworks, not just use them
Remote-friendly culture
Internal training programs with full support for Claude, AWS, and other professional certifications, conference attendance
Career growth; we actively develop our engineers
Access to the latest AI tools and premium subscriptions
Long-term B2B collaboration
Private medical insurance or a budget for your medical needs
Paid sick leave, vacation, and public holidays
Equipment and all the tech you need for comfortable, productive work
How we hire:
Intro conversation. The role, your background and aspirations, tech questions.
Technical interview with live engineering sessions. Real problems, your own editor, you may use an LLM assistant
HR Interview. Soft skills and expectations
HM interview. Tech questions; a live engineering session is also possible
Location: New York, New York, United States
Lithic is the modern card issuing and processing platform empowering ambitious financial companies to build the future of payments.
Our infrastructure powers card programs for 100+ innovative clients, from fintechs reimagining credit and digital banking to platforms transforming disbursements and spend management. Companies like Mercury, Flex, and Novo rely on Lithic's developer-friendly APIs, direct network connections, and flawless reconciliation to launch and scale card programs in weeks, not years.
We're building a future where access to better financial products materially improves people's lives, free from the constraints of 30-year-old mainframes and legacy processors. We're proud to be backed by world-class investors who share that vision, including Bessemer Venture Partners, Index Ventures, Spark Capital, Stripes, and Mastercard, along with many others.
We're a team of 170+ across 26 states and 7 countries, headquartered in New York City.
Lithic is hiring a
Senior Accountant
to own the annual audit, support AP and AR activity, and drive the month-end close alongside the Accounting Manager. This role is the technical backbone of the accounting team. We encourage you to apply even if you don't meet every requirement below!
What You'll Do
Serve as the day-to-day lead on external audit requests — managing the PBC list, timeline, and fieldwork logistics, preparing schedules, workpapers, and tie-outs, and responding to auditor inquiries.
Own product-level cash reconciliations across network payables, customer receivables, interchange, chargebacks, and fees — ensuring every dollar movement across the card lifecycle ties out between internal ledgers, processor/network reporting, and bank statements.
Investigate reconciliation discrepancies using transaction-level data, document root causes, and partner with Data and Engineering to resolve underlying issues.
Review AP and AR activity — payments, employee reimbursements, card issuance, invoicing, deferred revenue schedules, and credit application.
Prepare and review month-end journal entries — accruals, allocations, reclasses — with adequate support and approval.
Back up the Accounting Manager on monthly close to ensure timely, accurate reporting, including variance analysis and cost-saving opportunities.
Research and document technical accounting positions, and help maintain and enforce company policies and procedures.
Evaluate workflows and procedures, recommending and implementing changes that increase accuracy and efficiency.
Provide guidance and technical review to junior team members, plus support for ad hoc analyses and projects.
What You Bring
BA/BS in Accounting with 4+ years in Big 4 and/or on a startup accounting team.
FinTech experience preferred — familiarity with payments concepts (settlement, interchange, funds flow), or the ability to learn complex transactional data models quickly.
Ability to write basic SQL to retrieve, filter, join, and summarize transactional data, with an investigative mindset to identify and explain discrepancies.
Demonstrated use of AI tools (e.g., Claude) and advanced Excel to work through large, complex data sets — reconciliations, variance analysis, memo drafting, and process documentation.
Experience working directly with auditors on an independent financial statement audit, with working knowledge of GAAP.
Advanced ERP experience (preferably NetSuite) and hands-on AP/AR work, including subledger-to-GL reconciliation.
Customer service-level communication skills with attention to accuracy and detail.
Desire to succeed, adapt, and grow in a fast-paced organization, with an approachable demeanor that inspires trust.
Experience with Salesforce, Ramp, Google Suite, and/or Looker is a plus.
The annual US salary range for this role is $89,000 - $120,000 plus equity. This salary range may be inclusive of several career levels at Lithic and will be narrowed during the interview process based on the candidate’s experience and qualifications.
This is a hybrid position. Candidates must be located within a commutable distance to our NYC office in Soho. We do not offer visa sponsorship or assistance.
Benefits for Full-Time US Employees:
Unlimited PTO
12-weeks fully paid parental leave
4-Week Fully Paid Sabbatical (earned at your 5-year anniversary)
Work From Anywhere: work from anywhere in the world 4-weeks each year
3% cashback on card purchases with your complimentary
Privacy.com
employee account
Health, vision, and dental insurance; HSA Contribution Match
401(k) match
Voluntary Life Insurance and STD/LTD
NYC-based employees work from our SoHo office three days a week. Tuesdays and Thursdays are our core days, and you'll choose a third day that works for your schedule and team needs.
In-office employees receive:
Commuter benefit
Catered lunch every Tuesday and Thursday
Location: Москва
Workplace: Гибридный
О компании
Мы находимся в поисках Технического руководителя по исследованию данных (Data Science). Вы будете развивать команду Больших данных и ИИ в продукте CVM B2B.
Обязанности
Управлять командой до 15 человек;
Реализовывать функционал RoadMap продукта по поставке данных, разработке/развитию ML-моделей в рамках контекста B2B продаж и клиентского сервиса;
Заниматься формированием аналитического профиля B2B и подложек для ML-моделей для скоринга продуктов и услуг B2B экосистемы МТС.
Требования
Опыт работы в роли Data Science от 5 лет;
Опыт управления командой от 3 лет;
Опыт построения ML-моделей;
Опыт работы со стеком: Python, SQL, Pandas, NumPy, scikit-learn, PyTorch Hadoop, Hive, NiFi, GreenPlum, ClickHouse, Apache Spark, Apache Airflow.
Условия
собственную платформу MTS Ocean для получения ИТ-ресурсов, а это значит, что деплой, мониторинг, observability — не будут для тебя проблемой, ты сможешь сосредоточиться на фичах;
профессиональные гильдии инженеров, где мы поддерживаем друг друга и помогаем стать лучше;
внутреннюю площадку TechTalks для обмена опытом, дискуссий, развития навыков самопрезентации;
участие во внешних IT конференциях. Наши эксперты выступают на ведущих профильных конференциях, таких как HighLoad++, DevOps Conf, Joker, AHA!, Матемаркетинг и другие. А еще мы организуем собственную масштабную конференцию True Tech Day и регулярно проводим митапы для разработчиков и инженеров.
полезные курсы и вебинары в корпоративном университете и электронную библиотеку;
ДМС с первого месяца работы, включая стоматологию;
страхование от несчастных случаев с 1 месяца работы. Материальную помощь в сложных жизненных ситуациях;
отпуск 28 календарных дней (+3 дополнительных дня за ненормированный рабочий день);
прием врачей общей практики и массаж в офисе;
мобильная связь за счет компании и льготные тарифы для близких;
подписка на онлайн-кинотеатр KION, сервис МТС Музыка, книжный сервис Строки от МТС, безлимитные мессенджеры и соцсети.
Москва; Мы находимся в поисках Технического руководителя по исследованию данных (Data Science)
Location: Москва
Наша команда работает над созданием единой модели данных и ролевой модели аналитической платформы для управления эффективностью организации. Данное решение позволит формировать стратегию и ставить цели, планировать, прогнозировать и контролировать исполнение планов, рассчитывать премии сотрудников.
Решение предназначено для более 10 тысяч пользователей, содержит сотни сервисов и десятки терабайт данных. Мы разрабатываем ядро аналитической платформы – общие технологические сервисы для разработчиков и low/no-code инструменты для аналитиков в части реализации бизнес-логики.
**Целевой технологический стек:** React, Java, Python, JavaScript, ClickHouse, GreenPlum, Spark, PostgreSQL, k8s, Apache SuperSet, а также ряд собственных готовых решений Сбера.
Обязанности
### **Задачи:**
* брать на себя ответственность за:
\- достижение бизнес и ИТ целей продукта
\- технологическую составляющую продукта и его развитие
\- техническое состояние, надежность и стабильность работы систем
* разработка и исполнение ИТ стратегии развития продукта
* повышение эффективности процессов разработки, тестирования, внедрения и сопровождения
* прототипирование решений и подходов
* планирование и контроль достижения целей
* выстраивание взаимодействия с кросс-командами, выявление и устранение проектных и кросс-проектных ИТ рисков
* коммуникация с командами и формирование видения целевой архитектуры
* cсинхронизация команд в части подходов, видения и стандартов проектирования и разработки
* выявление ИТ рисков и организация мероприятий по их митигации
* управление техническим долгом
* подбор, развитие компетенции сотрудников, управление их мотивацией и карьерными треками.
Требования
### **Мы ожидаем:**
* опыт разработки или внедрения ПО от 5х лет в роли архитектора или руководителя команды в условиях взаимодействия с несколькими смежными командами
* опыт разработки концептуальной, логической и физической моделей функциональной, технологической архитектуры, архитектуры данных, архитектуры приложения аналитической системы (Big Data, Data Mining, Machine Learning, GreenPlum, MDM)
* опыт работы с классическими BI-системами (Tableau, QlikView, SAP BW, Hyperion, Cognos) или open-source решениями (Superset) или российскими BI-решениями
* опыт описания взаимодействия компонентов (Apache Airflow, Kafka cluster, Spark, хранилище данных).
* опыт создания шаблонов проектирования IT архитектуры по доменам архитектуры данных, архитектуры приложений, технологической архитектуры, архитектурных принципов в соответствии стандартам и рекомендациям методологии TOGAF для формирования единого подхода в архитектуре
* опыт руководства командой от 10 чел
* опыт внедрения AI PDLC – использования AI на разных шагах и этапах производственного процесса.
Условия
### **Мы предлагаем:**
* конкурентная заработная плата: оклад + бонусы
* масштабные и интересные задачи в agile команде
* ДМС для сотрудников и скидки на медицинскую страховку для родственников
* бесплатный тренажерный зал и спортивные групповые занятия
* дисконт-программы от компаний партнеров: фитнес, страхование, туризм
* обучение и тренинги
профессиональный и позитивный коллектив.
Location: Boston, Massachusetts, United States
We take play seriously. We’re looking for curious adventurers ready to find their party, fueled by imagination and drive to build what’s never been built before. At Hasbro and Wizards of the Coast, you’ll collaborate with passionate teams to reimagine our iconic brands and create experiences that spark joy, connection, and community through the magic of play. This is your chance to shape legendary play that lasts a lifetime.
About the Team
The Global Brand Team runs Hasbro's brands as six distinct businesses, each with a leader, an objective and the authority to pursue it. We decide what gets made, how it's promoted, where it gets sold and what gets dropped, and we answer for the result.
We are builders and operators in equal measure. The work spans the consumer insight that inspires the product line, the cost and price decisions that shape its margin, and the commercial execution that puts it in the hands of a fan. The job is to make the brands grow.
Job Overview
We are seeking a Vice President, Board Games to own the global P&L, a portfolio that includes Monopoly, Jenga, Connect 4, The Game of Life, Operation, Clue and Twister. You will lead a team of twelve and report to the SVP, Global Brands.
This role owns Hasbro's physical board game portfolio, working with the teams who apply those brands in digital and other formats. It is based in Boston, Massachusetts, and onsite three days a week, Tuesday through Thursday. Expect to travel approximately 25% of the time.
This is a general management role. You own the revenue, the margin and the operating profit, and you hold the authority to allocate the investment behind them. The brand team reports to you directly, while other functions partner with you.
In your first year we expect you to land a credible multi-year plan for the portfolio, make explicit calls on which brands to grow and which to run for profit, and show measurable progress on both the top line and the margin.
Location and Work Arrangement
Hybrid:
This role is based at our Boston, Massachusetts office and follows a hybrid schedule designed to support in-person collaboration. Employees are expected to work onsite on Tuesdays, Wednesdays, and Thursdays, with the flexibility to work remotely or onsite on Mondays and Fridays.
What You'll Do
Turn what you learn about players and shoppers into specific product, pricing, channel and new business opportunities.
Build the innovation pipeline. Define the handful of big bets that set the tone for the line, and the smaller, faster tests that de-risk them.
Set the consumer price point each item is designed for, and the cost structure that supports it. Allocate the investment across A&P, tooling and retail activation.
Partner with Commercial on demand planning and forecast accuracy, and with Supply Chain on the productivity and inventory discipline that protects margin after the product is made.
Read the global landscape and adjust the plan for it, including macroeconomic conditions, trade and tariff policy, input costs, retail consolidation and shifts in consumer spending across regions.
Build and lead the team. Set direction people can act on, give candid feedback close to the moment, develop talent at every level, and create the conditions for people to do their best work.
Represent the business to senior leadership and, when called on, to the Hasbro Board of Directors, with an honest read on performance and the plan.
What You'll Bring
Direct ownership of a P&L at scale, including accountability for operating profit.
15+ years of progressive leadership experience in consumer products, toys and games, or a comparably branded and retail-driven business.
A track record of setting multi-year portfolio strategy and choosing where not to invest.
A history of reinventing established brands and building new ones, with innovation that moved a number. Demonstrated success turning consumer insight into products that reached market.
Strong commercial judgment with major retailers, paired with enough command of product development,
cost structure, supply chain and forecasting to challenge a plan.
Substantial people leadership experience: building, developing and retaining teams at multiple levels.
What Sets You Apart
Experience in board games, tabletop or hobby, or in brands that live at the intersection of retail, fandom and culture.
Experience communicating a plan at the most senior levels, including to a board.
Who We Are
We’re a team of creators, storytellers, and innovators united under the Hasbro family and home to beloved brands, AAA digital games studios and immersive experiences that spark imagination across generations. Together, we’re committed to a culture rooted in creativity, excellence, curiosity, and inclusion, and where every employee is empowered to think boldly, act with integrity, and spark joy for all.
About the Company – Hasbro
Who We Are | Wizards of the Coast
Equal Opportunity
Hasbro is committed to equality of opportunity in all aspects of employment. We are committed to making all employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, marital status, or any other legally protected status.
Accommodations
If you have a disability and need reasonable accommodation during the hiring process, please inform your recruiter anytime throughout the process.
Notice Regarding Hasbo’s use of AI in the Recruitment Process
We use Greenhouse’s AI-powered Talent Matching tool to compare your application against our job requirements.
How it works: Talent Matching compares information from your resume and application responses with job-related criteria established and weighted by Hasbro’s recruiting and hiring teams. Depending on the role, these criteria may include relevant skills, work experience, prior job titles, and industry experience. The tool then assigns a match category to help organize applications for review.
Human oversight: Talent Matching supports—but does not replace—human review. It does not automatically advance or reject candidates or make employment decisions. Hasbro’s recruiters and hiring managers review applications and remain responsible for all hiring decisions.
Greenhouse has published the results of an independent bias audit of Talent Matching.
View the Greenhouse Talent Matching audit results
.
The pay transparency range for this role is listed below. The hiring range will vary based on factors such as experience, skills, location and market conditions. Additionally, employees may be eligible for annual and long-term incentives as part of their overall compensation package.
Pay Range
$282,200
—
$451,400 USD
Employees may be eligible for annual and long-term incentives as part of their overall compensation package, depending on role, location, and eligibility. Benefits and programs may include:
Health & Wellness
Time Off to Recharge
Financial Well-being
Life & Family Support
Volunteer and Community Initiatives
Learning & Development
Exclusive Perks
Please review our
Applicant Privacy Notice
to learn how we collect, use, and protect your personal information in connection with the application process.
Location: Москва
Workplace: Гибридный
О компании
Мы находимся в поисках Ведущего Инженера по данным (Data Engineer). Вам предстоит развиваться направление отчетности продукта CVM B2B.
Обязанности
Создавать и оптимизировать пайплайны для сбора и обработки данных;
Контролировать качество данных;
Проектировать схемы для хранения данных;
Автоматизировать построения витрин данных;
Оптимизировать запросы;
Подготавливать техническую документацию;
Разрабатывать и оптимизировать витрины данных;
Проводить интеграцию различных источников данных в DataLake;
Создавать процессы репликаций в различные СУБД;
Оптимизировать и поддерживать существующие ETL-процессы;
Настраивать DQ-мониторинги и алертинги;
Участвовать в Code Review.
Требования
Опыт работы от 5 лет в качестве Data Инженера;
Опыт работы в продуктовой команде от года;
Продвинутые навыки работы с SQL;
Уверенное владение Python и библиотеками для работы с данными и построения ETL процессов;
Знание ClickHouse, onETL, Airflow, Spark;
Умение работать с большими массивами данных (Hadoop, Hive, NiFi, GreenPlum);
Владение Git;
Будет плюсом опыт работы с доставкой данных (Kafka, Flink).
Условия
Собственную платформу MTS Ocean для получения ИТ-ресурсов, а это значит, что деплой, мониторинг, observability - не будут для вас проблемой, вы сможете сосредоточиться на фичах;
Профессиональные гильдии инженеров по направлениям, чтобы поддерживать друг друга и обмениваться опытом;
Внутреннюю площадку TechTalks для обмена опытом, дискуссий, развития навыков самопрезентации;
Участие во внешних IT конференциях. Наши эксперты выступают на ведущих профильных конференциях, таких как HighLoad++, DevOps Conf, Joker, AHA!, Матемаркетинг и другие. А еще мы организуем собственную масштабную конференцию True Tech Day и регулярно проводим митапы для разработчиков и инженеров.
Полезные курсы и вебинары в корпоративном университете и электронные библиотеки;
Медицинскую страховку с 1 месяца со 100% покрытием расходов, включая стоматологию, страхование жизни и здоровья в поездках за рубеж. А еще можно застраховать родственников с корпоративной скидкой;
Единую подписку МТС Premium — KION light в онлайн-кинотеатре KION, сервис МТС Music, 30 дней бесплатного пользования подпиской OZON Premium;
Скидки и предложения от партнеров на фитнес, занятия английским и прочее;
Отпуск 28 календарных дней + 3 дополнительных дня за ненормированный рабочий день;
Гибридный и удаленный формат.
leadМосква; Мы находимся в поисках Ведущего Инженера по данным (Data Engineer)
-Проектировать и разрабатывать новые, а также поддерживать существующие data pipeline’и в облачной среде. -Заниматься тюнингом и оптимизацией производительности пайплайнов (написание эффективного кода, работа с "горячими" точками, распределенные вычисления).
Location: London
QRT is a global quantitative and systematic investment manager, operating across all liquid asset classes. We are a data- and technology-driven organization applying scientific methods to investing. Our collaborative culture and focus on innovation enable us to solve complex challenges and deliver high-quality returns for our investors.
The Business Data & Analytics (BDA) Team develops applications and business insights for senior stakeholders. Its data platform supports the team’s applications and analytical tools, alongside work in data science, analysis and applied AI.
Your future role within QRT
We are seeking a Data Engineer to help build and maintain the BDA data platform. You will work directly with business stakeholders, translating open-ended questions into reliable datasets, analyses and tools. The role is expected to involve the following activities:
Design, build and operate data pipelines and datasets on AWS using services including S3, Lambda, Step Functions, Glue and Athena.
Define infrastructure as code and deliver changes through CI/CD.
Integrate internal and external data sources, validating data quality and reliability.
Build reporting and BI views and communicate findings to non-technical stakeholders.
Use agentic coding tools in day-to-day development and design data and systems that AI agents can use safely.
Contribute to LLM-powered projects, including document extraction, natural-language data access and automated data quality.
Share ownership of the team’s systems, documenting design decisions, assumptions and limitations.
Your present skillset
A degree in Computer Science, Engineering, Mathematics, Statistics or another relevant technical discipline.
At least three years’ experience building and operating production data pipelines and datasets.
Strong hands-on experience with AWS, including IAM.
Strong Python and SQL skills, with the ability to write clean, structured and tested code.
Experience with infrastructure as code and agentic coding tools, including reviewing and verifying their output.
Strong analytical and problem-solving skills, intellectual curiosity and a consulting mindset.
A proactive, organised and versatile approach, with enthusiasm for BI, analysis and data science alongside engineering.
Comfortable working through problems where requirements are not fully defined.
Desirable to have experience or a willingness to learn in the following areas
Terraform.
Dash, FastAPI or similar frameworks for dashboards, reporting and data applications.
LLMs, including agents, tool use, retrieval or MCP.
AI-friendly data architectures, including machine-readable data contracts, catalogues and metadata.
Applying machine learning or statistical methods to business problems.
Spark or PySpark.
QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.
Location: Москва
Мы ищем опытного DS для участия в масштабном проекте по внедрению системы индивидуального ценообразования в Сбере. Проект направлен на увеличение прибыли банка посредством персонализированных предложений клиентам.
Обязанности
* глубокий анализ данных для построения и калибровки моделей
* опыт построения uplift-моделей и кривых отклика для оптимизации процентных ставок/Разработка моделей оценки эластичности спроса на кредит по ставке
* разработка, обучение и валидация продвинутых ML-моделей для индивидуального ценообразования (регрессионные модели, градиентный бустинг, методы обучения с подкреплением / Reinforcement Learning для динамического ценообразования)
* анализ и интерпретация результатов A/B-тестов ценовых стратегий, оценка их бизнес-эффекта (влияние на выручку, маржу, конверсию, LTV)
* построение и оптимизация симуляционных сред для предварительной оценки эффекта ценовых изменений.
Требования
* глубокое знание и практический опыт (от 3 лет) применения методов машинного обучения и анализа данных для решения бизнес-задач, желательно в области ценообразования, экономики или финтеха
* продвинутый уровень знаний в области статистики, эконометрики и методологии проведения A/B-тестов. Понимание принципов микроэкономики и теории цен
* опыт разработки и внедрения в production моделей, напрямую влияющих на финансовые метрики (выручка, маржа)
* продвинутые знания SQL и Python для анализа данных и ML
* опыт работы с Python ML-фреймворками (Scikit-Learn, LightGBM/CatBoost/XGBoost, PyTorch/TensorFlow, библиотеки для RL), Spark (PySpark), опыт работы с базами данных (GreenPlum, PostgreSQL, ClickHouse).
будет плюсом:
* опыт построения систем динамического ценообразования (dynamic pricing) или моделей на основе обучения с подкреплением (Reinforcement Learning).
Условия
* комфортный современный офис рядом с м. Кутузовская
* офисный формат работы
* ежегодный пересмотр зарплаты, квартальная и годовая премия
* корпоративный спортзал и зоны отдыха более 400 образовательных программ СберУниверситета для профессионального и карьерного развития
* программа адаптации и помощь руководителя на старте
* расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа
* гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ
* подписка Прайм с возможностью совместного использования на трёх близких
* вознаграждение за рекомендацию друзей в команду Сбера.
Location: Haiphong, Haiphong, Vietnam; Vietnam
We take play seriously. We’re looking for curious adventurers ready to find their party, fueled by imagination and drive to build what’s never been built before. At Hasbro and Wizards of the Coast, you’ll collaborate with passionate teams to reimagine our iconic brands and create experiences that spark joy, connection, and community through the magic of play. This is your chance to shape legendary play that lasts a lifetime.
About the Team
The Industrial Engineering team makes the way we work smarter, simpler and more efficient. We use data and engineering expertise to optimize production processes, workflows and resources, improving productivity, quality and reliability. By identifying bottlenecks, reducing waste and continuously improving how work gets done, we help build more efficient and scalable operations.
Job Overview
In the Senior Industrial Engineer role, you will join the Product Development organization to boost efficiency, drive value, and remove waste. The Industrial Engineering team applies Lean principles and Design to Value (including Design for Manufacturing) to analyze current processes and products. This is done through close cooperation with internal teams such as brand marketing, product development, sourcing, QA, and finance, along with external suppliers. This role acts as an important advocate for Continuous Improvement by leading key projects and training others. You will be a subject matter expert on Lean and Kaizen methods and tools.
Location and Work Arrangement
This role is based at our Hai Phong, Vietnam office and follows a hybrid schedule designed to support in-person collaboration. Employees are expected to work onsite on Tuesdays, Wednesdays, and Thursdays, with the flexibility to work remotely or onsite on Mondays and Fridays.
Role Specifics:
Based in Hasbro’s Vietnam Hai Phong office
50% travel required for the role with frequent and regular travel to supplier sites in mainly Vietnam and Indonesia
What You'll Do
Collaborative Lean Practitioner
Lead strategic Value Stream Mapping, Kaizen, and quick hit projects from definition through implementation. Coordinate cross-functional resources for these events and collaborate with external suppliers.
Drive and implement labor efficiency through deployment of global industrial engineering process, tools and automation solutions.
Change Agent with Excellent Communication Skills
Work cross-functionally to develop and deliver training to all levels of organization as needed. Build the skills of all functional leaders and associates through hands-on interactions and personal mentoring in lean management tools.
Approach each project and your internal customers with the understanding that change requires trust and partnership. You communicate in a clear, respectful, and persuasive way to lead to agreement and positive outcomes with your continuous improvement initiatives.
Establish appropriate metrics and report on progress, achievements, and results. This includes executive level reporting, management updates, and guideline sharing throughout the organization.
Analytical Problem Solver
Dive deep into the data and can use it to jump into problem solving mode quickly because you seek to understand first before suggesting a solution. You enjoy gathering data and information to prioritize issues and use your expertise to find the best business approach.
Develop and complete project plans using strong project management skills.
What You'll Bring
Bachelor’s Degree or equivalent experience in Industrial Engineering or a related field.
At least 3 years working within a Lean-focused setting, with direct involvement in preparing, conducting, and driving outcomes from Kaizen and other Continuous Improvement activities.
Previous experience as a facilitator and mentor involving problem solving, process development and/or behavior change methods and tools.
Solid knowledge of Lean methodology, principles, and tools including Value Stream Mapping & Kaizen.
Demonstrated ability to understand and communicate Design for Manufacturing opportunities and requirements to Product Development engineering teams.
Plant Industrial Engineering & manufacturing operations experience preferred (ideally in consumer product goods).
Strong verbal and written communication skills across functional audiences with different backgrounds.
Fluency in English and can communicate in Mandarin.
Who We Are
We’re a team of creators, storytellers, and innovators united under the Hasbro family and home to beloved brands, AAA digital games studios and immersive experiences that spark imagination across generations. Together, we’re committed to a culture rooted in creativity, excellence, curiosity, and inclusion, and where every employee is empowered to think boldly, act with integrity, and spark joy for all.
Hasbro
About the Company – Hasbro
Wizards of the Coast
Who We Are – Wizards of the Coast
Equal Opportunity
Hasbro is committed to equality of opportunity in all aspects of employment. We are committed to making all employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, marital status, or any other legally protected status.
Accommodations
If you have a disability and need reasonable accommodation during the hiring process, please inform your recruiter anytime throughout the process.
Notice Regarding Hasbro’s use of AI in the Recruitment Process
We use Greenhouse’s AI-powered Talent Matching tool to compare your application against our job requirements.
How it works: Talent Matching compares information from your resume and application responses with job-related criteria established and weighted by Hasbro’s recruiting and hiring teams. Depending on the role, these criteria may include relevant skills, work experience, prior job titles, and industry experience. The tool then assigns a match category to help organize applications for review.
Human oversight: Talent Matching supports — but does not replace — human review. It does not automatically advance or reject candidates or make employment decisions. Hasbro’s recruiters and hiring managers review applications and remain responsible for all hiring decisions.
Greenhouse has published the results of an independent bias audit of Talent Matching.
View the Greenhouse Talent Matching audit results
.
Employees may be eligible for annual and long-term incentives as part of their overall compensation package, depending on role, location, and eligibility. Benefits and programs may include:
Health & Wellness
Time Off to Recharge
Financial Well-being
Life & Family Support
Volunteer and Community Initiatives
Learning & Development
Exclusive Perks
Please review our
Applicant Privacy Notice
to learn how we collect, use, and protect your personal information in connection with the application process.
Location: Москва
ИТ B2C - самая крупная экосистема в Сбере. Нас более 8000 человек в 18 городах России. Мы занимаемся разработкой и развитием розничных решений, помогая сделать сервисы Банка доступнее, безопаснее и удобнее.
Мы, команда офиса CDO B2C, строим платформу данных, которая обеспечивает быстрый, надежный и качественный обмен информацией между Сбером и компаниями-партнерами. Это основа для персонализированных предложений умных продуктов и эффективных бизнес-решений.
Наша команда - Команда развития Платформы в офисе CDO B2C ищет DE-инженера для реализации задач по загрузке, аналитике и трансформации данных.
Обязанности
проектировать и реализовывать ETL/ELT-пайплайны для загрузки и обработки данных (включая DAG в Apache Airflow)
оптимизировать и сопровождать процессы обработки больших данных (Apache Spark, Apache Flink)
интегрировать источники данных (базы данных, API, файловые хранилища) в единую pipeline-архитектуру
настраивать и администрировать Airflow для оркестрации workflows
участвовать в разработке архитектуры хранения и обработки данных (включая Hadoop-экосистему)
документировать решения и формировать базы знаний.
Требования
наличие высшего образования
опыт разработки ETL/ELT-процессов (реализация, оптимизация, мониторинг)
профильное владение Python (включая библиотеки для работы с данными)
практический опыт с распределенными вычислениями: Apache Spark (PySpark/Scala) или Apache Flink
глубокое понимание SQL и опыт работы с РСУБД (PostgreSQL, MySQL и др.)
знание Apache Airflow (создание DAG, настройка сенсоров, операторов)
навыки администрирования Linux (развертывание, мониторинг, troubleshooting)
**Будет преимуществом:**
базовые знания Scala (или готовность к изучению)
опыт с Hadoop (HDFS, YARN, Hive)
знание облачных платформ (AWS S3/Glue, GCP BigQuery, Azure Data Factory)
навыки автоматизации (Ansible, Terraform)
опыт работы с стриминговыми данными (Kafka, Debezium).
*
Условия
гибридный формат
ежегодный пересмотр зарплаты и годовая премия
расширенный ДМС и льготное страхование для семьи
уникальная система обучения Сбера для профессионального и карьерного развития
выгодная ипотека для сотрудников
подписка Прайм с возможностью совместного использования на трёх близких
вознаграждение за рекомендацию друзей в команду Сбера
корпоративная пенсионная программа.
глубокий анализ данных для построения и калибровки моделей. опыт построения uplift-моделей и кривых отклика для оптимизации процентных ставок/Разработка моделей оценки эластичности спроса на кредит по ставке.
Location: San Francisco, California, United States
About Turing
Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at
www.turing.com
.
Social Media Manager
About the Team
Turing works with every major frontier AI lab and brings that depth into the enterprise. Our marketing team tells that story: the research, benchmarks and launches that show what Turing knows about building and deploying AI. We are responsible for brand and product marketing, marketing operations, field marketing, communications, and social media strategy.
The Role
This is not a scheduling job. You will own Turing's presence on LinkedIn, X, Instagram and Facebook and turn our research and point of view into content that spreads. You write the posts, build the calendar, cover the moments that matter and engage directly with the AI community. You have already written content that broke out well beyond your own following. Here, you will do it for a company that sits at the center of the AI conversation.
Why This Role Matters
The researchers, builders and enterprise leaders who shape AI decide what to pay attention to on social media, often in a single scroll. Turing has the work worth paying attention to. Your job is to make sure it lands with the right people, in a voice they trust.
Over the next 12 months, you will grow our researcher and enterprise engagement rate on X and LinkedIn, lead Turing's social presence at top industry events such as ICML and NeurIPS, respond quickly and spark conversations on top AI trends, run employee advocacy programs, and lead with a metrics-driven approach.
What You Will Own
The calendar.
Own the day-to-day content calendar across LinkedIn, X, Instagram and Facebook, from idea to published post.
The writing.
Write sharp, platform-native copy in Turing's voice that makes technical work accessible without getting it wrong.
The breakout content.
Turn research, benchmarks and launches into threads, visuals, short video and campaigns that earn reach and engagement.
The big moments.
Plan and run social for conferences such as NeurIPS, from the build-up through live coverage and follow-up.
The community.
Engage directly with researchers, customers and the wider AI community through replies, reposts with a point of view and real relationships.
The numbers.
Set goals, track performance, report on what is working and use it to sharpen the next round.
What You Will Not Own
This role is focused on social. You will not:
Own paid media or ad budgets
Run PR or press relations
Own brand design systems; our design team does, and you partner with them
Write long-form research content; our researchers do, and you make it travel
Who You Are
A breakout writer.
You have written posts that were picked up far beyond your own following, and you can show the reach they earned.
Fluent in AI.
You know the researchers, builders and companies in the AI conversation and what resonates with them.
A translator.
You can take a complex idea and make it land in one sentence, and the researcher behind it would still sign off.
Platform-native.
You know the formats, timing and culture of LinkedIn, X, Instagram and Facebook, and you never paste the same post across all four.
Data-driven.
You set goals, read the numbers and change course.
A shipper.
You publish while it matters, not after it has been polished for a week.
Minimum Qualifications
4+ years running social media for a brand, company or public figure, or an equivalent portfolio.
A track record of posts that broke out and were widely picked up. You will be asked for examples and reach numbers.
Excellent writing.
Hands-on fluency with LinkedIn, X, Instagram and Facebook.
Comfort with social analytics tools.
Preferred Qualifications
Experience marketing to technical or research audiences.
Basic design or short-form video skills.
Experience running social at conferences or live events.
Experience building social media in the AI space
Before You Apply
If your experience is mostly scheduling, reporting or community moderation, and someone else wrote the posts, this is not the right role.
If you can't point to a post that broke out and show its reach, this is not the right role.
If you need a week of approvals and a finished design before you post, this is not the right role.
For the right person, this is a chance to become the voice of an AI company the research community actually follows.
Location & Work Model
Full-time role based in the San Francisco Bay Area
Travel to major AI conferences and events, such as NeurIPS.
Reports to the SVP, Marketing.
Compensation & Benefits
Individual compensation will be determined based on job-related skills, experience, qualifications, and other relevant business considerations.
Compensation: $140,000 - $170,000 annual base salary + variable compensation, equity & additional benefits.
Application Process
Our interview process typically includes:
Introductory conversation
Interviews with the hiring manager and partner teams
Working session: we share a recent Turing release, and you bring the posts and the plan you would build around it
Reference checks
Offer
Values
We are client first:
We put our clients at the center of everything we do, because their success is the ultimate measure of our value.
We work at Start-Up Speed:
We move fast, stay agile and favor action because momentum is the foundation of perfection
We are AI forward:
We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity.
Advantages of joining Turing
Work at the frontier of AI
, helping the world’s leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks.
Contribute to leading-edge AI research
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Location: Remote - North America
Who We Are:
Alpaca is a US-headquartered, global leader in agent-first brokerage infrastructure
for stocks, ETFs, options, crypto, fixed income, 24/5 trading, and more.
Amongst our subsidiaries, Alpaca is a licensed financial services company, serving hundreds of financial institutions across 40 countries with our institutional-grade APIs. This includes broker-dealers, investment advisors, wealth managers, hedge funds, and crypto exchanges, totalling over 10 million brokerage accounts.
Our global team is a diverse group of experienced engineers, traders, and brokerage professionals who are working to achieve our mission of opening financial services to everyone on the planet. We're deeply committed to open-source contributions and fostering a vibrant community, continuously enhancing our award-winning, developer-friendly API and the robust infrastructure behind it.
Alpaca is proudly backed by $400 million in funding from top-tier global investors including Portage Ventures, Spark Capital, Tribe Capital, Social Leverage, Horizons Ventures, Opera Tech Ventures, SBI Group, Derayah Financial, Unbound, Peak XV, Elefund, and Y Combinator.
Our Team Members:
We're a dynamic team of 400+ globally distributed members who thrive working from our favorite places around the world, with teammates spanning the USA, Canada, Japan, Hungary, Nigeria, Brazil, the UK, and beyond!
We're searching for passionate individuals eager to contribute to Alpaca's rapid growth. If you align with our core values—Stay Curious, Have Empathy, and Be Accountable—and are ready to make a significant impact, we encourage you to apply.
Your Role:
As the Crypto Compliance Compliance Analyst, you’ll partner with the Chief Compliance Officer of Alpaca Crypto LLC to support and execute the anti-money laundering (AML) and compliance operations for our digital asset platform. This role is critical to mitigating risk, conducting transaction monitoring, and ensuring that Alpaca's crypto offerings operate securely and in full accordance with regulatory standards.
The Compliance Department team is 100% distributed and remote. This role will report directly to the Chief Compliance Officer, Alpaca Crypto LLC.
Key Responsibilities:
Transaction Monitoring:
Perform daily review and disposition of transaction monitoring alerts (fiat and crypto) to identify unusual or suspicious activity.
Investigate & Report:
Conduct deep-dive investigations into complex user accounts and blockchain transactions. Draft high-quality narratives and prepare/file Suspicious Activity Reports (SARs) with appropriate regulatory bodies (e.g., FinCEN).
Blockchain Forensics:
Utilize on-chain analytics tools (e.g., Chainalysis, TRM Labs, Elliptic) to trace cryptocurrency flows, identify high-risk wallet interactions, and assess illicit finance risks.
KYC / EDD:
Assist with escalated Know Your Customer (KYC) / Know Your Business (KYB) reviews, Enhanced Due Diligence (EDD), and OFAC sanctions screening.
Rule Tuning & Optimization:
Collaborate with the CCO and compliance engineering to refine and tune transaction monitoring rules, ensuring false positives are minimized while capturing actual risks.
Cross-Functional Collaboration:
Work closely with customer support, engineering, and product teams to integrate compliance controls seamlessly into the Alpaca API ecosystem.
What You Need (Qualifications):
Experience:
2–5 years of experience in AML, transaction monitoring, or financial crimes compliance within a cryptocurrency exchange, fintech, or traditional financial institution.
Crypto Knowledge:
Strong understanding of blockchain technology, digital assets, and the specific AML risks associated with the crypto ecosystem.
Regulatory Grasp:
Solid understanding of BSA/AML regulations, OFAC sanctions, and FinCEN guidance regarding virtual currency.
Analytical Skills:
Proven ability to analyze complex financial data, connect the dots across different platforms, and write clear, concise investigative narratives.
Tools:
Hands-on experience with blockchain analytics tools and traditional fiat transaction monitoring vendors.
Autonomy:
High level of self-motivation and the ability to operate effectively in a fast-paced, 100% remote startup environment.
Bonus:
Relevant industry certifications (e.g., CAMS, CGSS, or crypto-specific certifications like CCAS/Chainalysis Reactor Certification) are a strong plus
How We Take Care of You:
Competitive Salary & Stock Options
Health Benefits
New Hire Home-Office Setup: One-time USD $500
Monthly Stipend: USD $150 per month via a Brex Card
Alpaca is proud to be an equal opportunity workplace dedicated to pursuing and hiring a diverse workforce.
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