Workplace: hybrid
Обязанности
Руководить командой из 3–4 разработчиков: ставить цели, формировать и приоритизировать бэклог, декомпозировать инициативы, распределять ответственность и контролировать результат
Развивать платформенные компоненты и внутренние сервисы вокруг работы с данными: повышать их надёжность, масштабируемость, производительность, наблюдаемость и удобство для пользователей платформы
Находить узкие места в текущем дата-ландшафте, инженерных процессах и пользовательских сценариях; превращать наблюдения в понятные инициативы с оценкой эффекта и планом реализации
Самостоятельно разрабатывать и проводить сложные технические прототипы (PoC) для проверки архитектурных решений, новых технологий и подходов к оптимизации
Принимать ключевые архитектурные решения, проводить технические ревью, задавать инженерные стандарты и обеспечивать качество реализации
Планировать и вести технические инициативы от идеи до промышленного внедрения: цели, метрики успеха, риски, зависимости, этапы и результат
Развивать инженеров в команде: менторить, давать регулярную обратную связь, повышать самостоятельность и качество технических решений
Выстраивать рабочее взаимодействие со смежными командами — инфраструктурой, аналитикой, ML/AI, инфраструктурой, безопасностью и продуктовыми командами
Улучшать процессы разработки: CI/CD, тестирование, документацию, эксплуатационные практики, мониторинг, управление инцидентами и техническим долгом.
Условия работы
Официальное оформление с белой ЗП
Полугодовые премии по результатам работы
Возможность работать удалённо или в гибридном формате
Удобный офис рядом с м. «Добрынинская» / удобный офис с бесплатной парковкой на м. «Волгоградский проспект» / МЦД «Калитники»
Гибкий график работы
Широкий пакет ДМС (включая выезд за рубеж и стоматологию), страхование жизни и здоровья
Возможность учиться и развиваться за счёт компании: внешние тренинги и семинары по профессиональным тематикам, участие в крупнейших конференциях страны, программы развития цифровых и управленческих навыков (Цифровая академия, Школа Тимлидов), онлайн и офлайн мастер-классы, корпоративный университет «X5 Полка», школа наставников и многое другое
Программы мотивации для спикеров и авторов: внутренняя школа Speak Up School, Write Up, ачивки и баллы за выступления, подготовка спикеров к крупнейшим конференциям страны, сообщество авторов на Хабре, возможность шерить опыт с комьюнити внутренних и внешних экспертов
Обмен опытом через cообщества: 12 технических комьюнити от java до devops
Яркая корпоративная жизнь с большим количеством мероприятий, конкурсов и возможностей для творческой реализации: регулярные внутренние митапы, демо-дни, открытые микрофоны, день IT-специалиста, программы волонтерства, корпоративное предпринимательство X5 Idea Challenge
Забота о благополучии сотрудников: 7 спортивных сообществ (бег, футбол, волейбол, баскетбол, хоккей, лыжи, триатлон), ежегодная Неделя здоровья
Скидки в экосистеме бизнесов Х5 («Пятёрочка», «Перекрёсток», «Много лосося», «Перекресток Впрок»)
Программа привилегий Prime-zone (скидки на товары и услуги и специальные предложения от компаний-партнёров)
Материальная помощь сотрудникам, попавшим в сложную жизненную ситуацию.
Профессиональные навыки
Опыт с data stack: Spark, Flink, Kafka, Trino, ClickHouse, Iceberg, Airflow, Kubernetes, Object storage, catalog/governance-системы
Опыт разработки и эксплуатации сложных распределённых систем и/или платформ данных
Опыт управления инженерной командой либо выраженный опыт технического лидерства с готовностью отвечать за развитие людей и поставку результата
Умение совмещать управление и hands-on работу: не только делегировать, но и лично погружаться в архитектурно сложные или исследовательские задачи, прототипировать или брать самые сложные задачи на себя
Опыт проектирования и внедрения платформенных компонентов, внутренних сервисов или инфраструктурных продуктов
Практический опыт оптимизации производительности, стоимости, надёжности или DX в инженерных системах
Умение работать через цели и измеримый эффект: связывать технические инициативы с ценностью для пользователей и организации
Навыки декомпозиции, приоритизации и делегирования; умение удерживать баланс между быстрыми улучшениями, развитием платформы и устранением технического долга
Умение ясно доносить технические решения до инженеров и руководителей
Опыт развития Internal Developer Platform, self-service-подходов или платформы как продукта
Опыт миграций, стандартизации дата-ландшафта, построения observability и управления стоимостью обработки данных
Опыт формирования технической стратегии и roadmap платформы; это обычно включает архитектурную целостность и взаимодействие со смежными технологическими направлениями.
Location: Москва
Корпоративная BI-система на базе Навигатора BI, хранилища (PostgreSQL, ClickHouse, Ozone) и ETL/ELT-пайплайнов (NiFi, Airflow, Spark). На базе системы работает продукт Digital trace (Цифровые следы сотрудников – аналитический продукт для принятия управленческих решений на основе данных из система банка, для оптимизации процессов и повышения эффективности).
Обязанности
* организация процессов разработки (Scrum/Kanban): спринты, планирование, ретроспективы, код-ревью
* построение метрик эффективности команды и качества кода
* проектирование отказоустойчивых пайплайнов потоковой/пакетной обработки данных и хранилищ
* обеспечение высокой доступности и производительности подсистем (СУБД, BI, ETL)
* настройка мониторинга, алертинга, логирования; решение инцидентов поставки данных
* коммуникация со стейкхолдерами (аналитики, продакты, безопасность), согласование SLA.
Требования
* опыт промышленной разработки в современной BI системе Qlik Sense, Tableau, Power BI, Superset от 5 лет
* опыт промышленного использования Apache NiFi и Apache Airflow
* продвинутый SQL (оконные функции, сложные JOIN, оптимизация)
* опыт работы с реляционными и колоночными БД
* опыт организации процессов разработки (SDLC)
* понимание жизненного цикла данных в организации (Data Lifecycle Management), опыт работы в рамках процессов Data Governance.
Будет плюсом:
* понимание основ работы Git, CI/CD
* опыт разработки на одном из современных языков программирования (в контексте обработки данных) - от 4 лет
* понимание принципов работы брокеров сообщений (RabbitMQ, Kafka)
* опыт работы с Docker/Kubernetes
* опыт работы с картами компетенций в подразделении
* опыт настройки мониторинга на базе Prometheus + Grafana
* опыт внедрения и эксплуатации процессов Data Governance
* опыт работы с LLM и AI-агентами.
Техстек: Навигатор BI (разработка Сбера), Qlik Sense (выводится из эксплуатации), PostgreSQL, ClickHouse, Apache NiFi, Airflow, Spark, Kafka, Ozone.
Условия
* комфортный офис: г.Москва, проезд 2-й Южнопортовый, 12Ак1, (м.Кожуховская)
* возможен гибридный формат работы после испытательного срока
* ежегодный пересмотр зарплаты и годовая премия
* более 400 образовательных программ СберУниверситета для профессионального и карьерного развития
* расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа
* гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ
* бесплатная подписка СберПрайм+, скидки на продукты компаний-партнеров
* вознаграждение за рекомендацию друзей в команду Сбера.
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.
PRODUCT AT BASETEN
Baseten is building a new cloud for AI. Our ambition is to make inference, training, and agent execution part of one coherent platform, and to shape how the next generation of AI products gets built. Product decisions here reach from the economics of GPU infrastructure to the abstractions developers build on every day.
We’re hiring builders and tastemakers with the ambition to help create that future. You should bring a strong point of view about what should exist, the taste to make complex technology feel simple, and the technical judgment to build it alongside engineers, researchers, and designers. You’ll work directly with customers and forward deployed teams, turn emerging capabilities into new possibilities for developers, and carry an idea from early conviction through to production and adoption.
THE ROLE
Build the future of AI model routing, where every task gets the right model, automatically.
Today, developers often have to choose between models that are faster, cheaper, or more capable. But the right model isn't always the same for every request.
Grid is Baseten's intelligent model routing platform, designed to help developers get the best possible results across open and frontier models without manually managing every decision.
We're starting with coding agents, where model choice can have an enormous impact on quality, speed, and cost.
As Product Manager for Grid, you'll work with engineers, researchers, and customers to build a new category of AI infrastructure. You'll help shape how intelligent routing works, how developers control it, and how we prove it's better than choosing a single model.
RESPONSIBILITIES
- Own the product roadmap for Grid, from early developer adoption to production deployments and enterprise expansion.
- Work with researchers and engineers to improve intelligent model selection, routing policies, fallbacks, and controls.
- Build evaluation frameworks that measure real-world outcomes, including task quality, completion time, latency, and total cost.
- Shape the developer experience for onboarding, configuration, observability, and routing decisions.
- Help customers understand why a model was selected and give them confidence and control over how routing behaves.
- Work through technical challenges involving conversation history, tool compatibility, prompt caching, retries, and routing overhead.
- Partner with GTM and customers to turn early pilots into sustained adoption and revenue growth.
REQUIREMENTS
- Experience building and commercializing AI/ML products or developer platforms, with demonstrated adoption or business impact.
- A technical background in software engineering, ML engineering, research, or equivalent hands-on experience.
- Experience working with researchers or ML engineers on model behavior, evaluation, or learned systems in production.
- Strong understanding of AI model quality, latency, cost, and the tradeoffs involved in optimizing across them.
- Excellent developer product instincts, with an appreciation for both simple APIs and enterprise-level controls.
- Hands-on experience using coding agents and a strong point of view on where automation helps developers and where they need control.
- Comfort building emerging products where the technical approach and customer expectations are still evolving.
NICE TO HAVE
- Experience with LLM gateways, model routing, AI agents, coding harnesses, or multi-model platforms.
WHAT SUCCESS LOOKS LIKE
Developers can build better AI applications without having to manually choose and optimize every model. Grid consistently delivers measurable improvements in quality, speed, or cost, and becomes a trusted part of customers' production AI stacks.
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: Воронеж
\-
Обязанности
· участие в выявлении проблем и недостатков в бизнес-процессах, автоматизированных алгоритмах и разработанных банковских ML-моделях
· анализ или написание программного кода, математическое моделирование
· автоматизация процессов проверки (SQL, Рython, Excel и т.д.)
· анализ больших объёмов данных средствами HiveSQL, Apache Spark, GreenPlum
· описание недостатков в процессах на основе анализа схемы процесса и полученных данных, программного кода исполнения процесса.
А также: возможность влиять на изменения бизнес-процессов Сбера и самостоятельно определять пути решения поставленных задач.
Требования
· образование в сфере ИТ (выпускники профильных ВУЗов, начиная с 4 курса, при возможности совмещения учебы и работы полный рабочий день)
· свободное владение MS Office (Excel, Word, PowerPoint), применение встроенных функций (сводные таблицы, сложная фильтрация, форматирование, использование формул и функций)
· MS SQL, Python – уровень владения: простой и средней сложности:
\- Python (опыт работы с библиотеками pandas, matplotlib, numpy, sklearn),
\- SQL (опыт написания join, group by, window, filter запросов к данным),
· знание методов анализа бизнес-процессов (опыт работы бизнес-аналитиком будет являться преимуществом)
· умение использовать нейросети в повседневной работе
Условия
· комфортный современный офис ул. 9 января, 68к
· график работы 5/2, пн-вт с 9:00 до 18:00, пт до 16:45, офис
· ежегодный пересмотр зарплаты и годовая премия
· гибкая система премирования и возможность влиять на свой доход
· корпоративный спортзал и зоны отдыха
· уникальная система обучения Сбера для профессионального и карьерного развития
· расширенный ДМС и льготное страхование для семьи
· 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
· корпоративная пенсионная программа.
Location: Los Angeles, USA
Riot’s Data Engineers build tools and data products that help teams understand and improve the experience of players worldwide. They work across data pipelines, data modeling, data infrastructure, and data quality to make large-scale data useful, reliable, and accessible.
As a Data Engineering Intern, you’ll work with data engineers, software engineers, data scientists, analysts, and game or product partners to build and improve data products. You’ll gain exposure to transforming raw data into clean, queryable datasets, designing data models, validating data quality, and supporting data pipelines. You’ll be supported by experienced team members as you learn Riot’s tools, systems, and engineering practices.
Potential Responsibilities:
Collaborate with data engineers, software engineers, data scientists, analysts, and game teams on data-focused projects.
Transform raw data into clean, documented datasets that can be queried and used by downstream partners.
Implement small data pipeline, data modeling, or data-quality tasks using established tools, templates, and technical guidance.
Support the design of relational data models and data products for game, product, or business use cases.
Help validate data for accuracy, timeliness, completeness, and sustainability.
Participate in code reviews, technical discussions, team rituals, and project planning.
Document technical proposals, implementation details, and data definitions clearly.
Learn how cloud, distributed-processing, and data-pipelining systems support Riot’s games and products.
Required Qualifications:
Graduating in the 2028 calendar year.
Currently enrolled in a Computer Science, Engineering, Data Science, or related technical degree program.
Available to work full-time hours for the 12-week internship duration.
Comfortable programming in Python or Java.
Understanding of data structures and algorithms.
Familiarity with SQL and relational data concepts such as tables, keys, normalization, or indexing.
Minimum GPA of 2.5.
Desired Qualifications:
Currently enrolled in a graduate-level (Master’s or PhD) Computer Science, Engineering, Data Science, or related technical degree program.
Experience developing a data pipeline, data model, database project, or data-driven application through coursework, internships, research, or personal projects.
Familiarity with cloud-computing basics, such as AWS or GCP.
Experience working with Linux operating systems.
Understanding of distributed systems, concurrent programming, or distributed data processing.
Familiarity with tools or frameworks such as Databricks, Spark, Flink, Hive, Kafka, Airflow, Luigi, Docker, Terraform, Kubernetes, Parquet, or Avro.
Experience with Scala, C++, Golang, or another programming language.
Familiarity with software development practices such as Git, unit testing, functional testing, or continuous integration and deployment.
Portfolio, website, GitHub, or other collection of original work.
Work Authorization
Candidates must be legally authorized to work in the United States for the duration of the program.
This position is not eligible for visa sponsorship. We do not sponsor visas for this position or internship conversions.
For this role, you’ll find success through craft expertise, a collaborative spirit, and decision-making that prioritizes the delight of players. We’ll consider your studies and experience, as well as your personal relationship with games. If you embody player empathy and care about players’ experiences, this could be the role for you!
Applications close January 4th, 2027
Our Perks:
Riot Internships are paid, and interns can also participate in our 401(k) plan. You can expect in-game perks and the ability to participate in our Play Fund, so you can broaden and deepen your knowledge of our players and community through games. The University Recruiting team also invites you to intern-focused events so you can connect with your fellow interns and Rioters and make the most of your experience.
Riot Games fosters a player and workplace experience that values teamwork embodied by the
Summoner's Code
and
Community Code
. Our culture embraces differences as a strength, and our values are the guiding principles for how we approach work. We are committed to putting diversity and inclusion (D&I) at the center of everything we do and promoting a fair and collaborative culture where Rioters treat one another with dignity and respect. We encourage you to read more about our value of
thriving together
and our ongoing work to build the
most inclusive company in Gaming
.
It’s our policy to provide equal employment opportunity for all applicants and members of Riot Games, Inc. Riot Games makes reasonable accommodations for handicapped and disabled Rioters and does not unlawfully discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, handicap, veteran status, marital status, criminal history, or any other category protected by applicable federal and state law. We consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with applicable federal, state and local law, including the California Fair Chance Act, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, and the Washington Fair Chance Act.
Per the Los Angeles County Fair Chance Ordinance, the following core duties may create a basis for disqualifying candidates with relevant criminal histories:
Safeguarding confidential and sensitive Company data
Communication with others, including Rioters and third parties such as vendors, and/or players, including minors
Accessing Company assets, secure digital systems, and networks
Ensuring a safe interactive environment for players and other Rioters
These duties are directly related to essential operations, safety, trust, and compliance obligations within our organization. Please note that job duties may evolve based on business needs and additional responsibilities may be assigned as necessary to maintain operational efficiency and security.
(Remote Only)
The hourly rate for this internship is USD $53.41 - $69.28 hourly
Location: 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
.
Engineering Manager
Role Overview
We are seeking an Engineering Manager to lead the development of internal tooling and quality-control systems that power AI training workflows. This role is ideal for a leader who enjoys working across application development, infrastructure, and applied AI. You will be part of a rapidly growing team solving complex problems in AI systems, working in a startup-paced environment with high expectations and short timelines.
The ideal candidate is someone who takes ownership beyond what their role technically requires, has a track record of shipping production systems, and is excited by the intensity of a fast-paced, ambiguous environment rather than looking for stable, predictable work.
Key Responsibilities
Tooling and Platform Development:
Build scalable platforms supporting data creation, annotation, evaluation, review, and delivery.
Design and implement APIs, internal applications, and developer tooling that enable efficient workflows.
Develop maintainable, well-tested code that scales with growing demands.
Quality and Efficiency:
Improve dataset quality, task validation, model evaluation, and production efficiency.
Build and iterate on evaluation frameworks that ensure quality and reliability of AI training outputs.
Collaborate with research and domain experts to translate requirements into practical solutions.
Architecture and Standards:
Own architecture, technical delivery, reliability, security, and engineering standards.
Design and implement data pipelines for dataset creation, annotation, and delivery at scale.
Contribute to technical design and architecture decisions that balance speed, quality, and maintainability.
Leadership and Mentorship:
Mentor engineers and establish strong design, testing, and release practices.
Partner with Operations, Product, and AI specialists to identify bottlenecks and deliver pragmatic solutions.
Lead teams through urgent, high-pressure delivery schedules while maintaining quality and engineering excellence.
Technical Skills
Web Development -
Node.js, React, NestJS, Next.js, Express
Python Engineering and Data Science -
FastAPI, NumPy, Jupyter notebooks. Proficiency in large-scale data generation and data pipeline orchestration. Frameworks like Spark, Beam, or Dataflow preferred. Statistical analysis, data visualization, and data manipulation.
Infrastructure -
Kubernetes, Docker, Pulumi, Terraform, infrastructure-as-code
AI Engineering -
LangChain, LiteLLM, RL Gyms, LoRA and fine-tuning, AI agents, and Harbor
Quality Systems -
Dataset validation, evaluation frameworks, automated testing, and QC tooling
Qualifications
Strong software engineering fundamentals with a proven track record of shipping production systems.
Experience leading teams effectively in fast-paced, ambiguous environments.
Demonstrated ability to balance speed, quality, scalability, and maintainability in technical decisions.
Strong debugging, problem-solving, and communication skills with cross-functional teams.
Interest in the evolving challenges of training and evaluating AI systems.
What Success Looks Like
You lead a team that ships high-quality solutions enabling AI training workflows. You can identify technical bottlenecks, design pragmatic solutions, and guide your team to implement them reliably. You're energized by working across the full stack from infrastructure to application code, and you're excited about the technical challenges of building evaluation and quality-control systems for AI at scale while developing strong engineers.
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
and showcase your work at top conferences such as ICLR, ICML, and NeurIPS.
Bring frontier AI innovation to the enterprise
, applying lessons learned from leading AI labs to solve real-world business challenges.
Collaborate with and learn from exceptional colleagues
with deep AI experience from Google, Meta, Amazon, and other leading technology companies.
Move at the pace of AI innovation
, with the speed, ownership, and impact of a startup.
Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
For applicants from the European Union, please review
Turing's GDPR notice here
.
Location: 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
.
The Role
Turing builds large-scale datasets and reinforcement learning (RL) environments that power post-training for the world's leading AI labs and enterprises.
The STEM Horizontal team produces the high-signal coding and STEM data frontier labs train on. We're looking for a
Research Engineering Manager
to lead the research engineering behind its next layer:
synthetic data
that measurably improves models, and
new benchmarks
that measure what today's evals miss.
You'll lead a team of research engineers, work side by side with research scientists, and stay close enough to the code to review an eval harness line by line or prototype a generator yourself when the team needs it. You'll also
build the team
: hiring research engineers is a core part of this role, not a side task. Ideally you've been on the other side, at a frontier lab, and know what makes a lab trust a dataset or a benchmark result.
Synthetic data that earns its place.
Generation, verification, and filtering pipelines where every sample is checked, and where we can show which properties of the data drive downstream gains, not just how much of it we made.
Benchmarks that stay meaningful.
New evaluations for capabilities current benchmarks miss, built with calibrated difficulty, contamination controls, and statistics strong enough that a lab can make a decision on the result.
Quality failures here are quiet. A subtle bug in a verifier doesn't crash anything; it ships thousands of wrong labels into someone's training run and costs weeks. If you want to build the team and the systems that catch that early, this is the seat.
What You'll Do
1. Build and Lead the Team
Build the team:
define the profiles you need, run hiring, and grow research engineers selected for research taste as much as engineering rigor.
Run the team's operating rhythm: project selection, planning, experiment reviews, design docs, and clear ownership.
Coach engineers on experimental design, code quality, and presenting results; give direct, regular feedback and run fair performance cycles.
Define the
standards
the team works to: eval methodology, data quality bars, and reproducibility — every dataset and result can be regenerated from a commit, a config, and a seed.
2. Partner with Research Scientists
Turn hypotheses into
experiment plans
together: what we're testing, the baseline, the ablations, and the result that would change our minds.
Set the agenda
with research scientists. You're expected to bring your own hypotheses, not only implement theirs.
Take research prototypes to production scale without losing the scientific intent.
3. Build Synthetic Data Systems at Scale
Own
synthetic data pipelines
that generate, verify, filter, deduplicate, and version data, combining programmatic generators, LLM-based generation, automated verifiers, and targeted expert review.
Judge data by its
effect on models
: ablations and fine-tuning or RL experiments that show which attributes (difficulty, diversity, correctness, coverage) drive gains.
Build
quality systems
that hold up at volume: gold sets, LLM-judge calibration against expert labels, sampling audits, and agreement metrics.
4. Create New Benchmarks and Evaluations
Find where frontier models fail and where existing benchmarks have saturated, and design
evaluations that measure what's missing
.
Own
benchmark methodology
end to end: task taxonomy, difficulty calibration, graders and verifiers, contamination controls, held-out splits, and confidence intervals.
Ship
eval harnesses
, including agentic and sandboxed-execution evals, that are deterministic, reproducible, and trusted by internal teams and partner labs.
Make the call
on whether a result holds up: partner labs and internal teams act on your sign-off.
Publish benchmarks, datasets, and findings with our research scientists at venues such as NeurIPS, ICML, and ICLR.
5. Stay Hands-On and Work with Frontier Labs
Write code every week on the hardest, highest-leverage parts: core verifier logic, eval statistics, the pipeline component everything else depends on. Expect
a third or more
of your time on direct technical work.
Be the person the team brings its hardest debugging and methodology questions to: why a judge disagrees with experts, why an eval number moved, whether a gain is real or noise.
Act as a
technical counterpart
to researchers at frontier AI labs: scope requests, set acceptance criteria, and explain results and trade-offs plainly.
Partner with Strategic Project Leads, delivery, and engineering teams so research advances land in client work and in the platforms the team builds.
Sample Projects
Identify
a capability gap,
design and ship
a benchmark for it, and see it adopted by partner labs.
Stand up a
synthetic data pipeline for long-horizon coding tasks
with execution-based verifiers, and run the ablations that show which task properties drive RL gains.
Calibrate an LLM-judge grading system
against expert labels, map where it fails, and decide where humans stay in the loop.
Design the experiment that tells a partner lab whether a
two-point gain
on their eval is real.
Decide which of three competing synthetic data approaches the team should bet on, and design the experiments that settle it.
Tech Stack
Research:
Python · PyTorch or JAX · SFT · DPO · PPO / GRPO · RL with verifiable rewards
Evals & data:
LLM-as-judge · programmatic verifiers · sandboxed execution · gold sets · contamination checks
Platform:
Python services (Django / FastAPI) · PostgreSQL · Docker · Terraform · AWS or GCP
What We're Looking For
Experience:
8+ years of hands-on ML or research engineering, at least 5 in industry, including
3+ years directly managing
research engineers, ML engineers, or researchers (hiring and performance management included).
Synthetic data at scale:
you've
owned
synthetic or curated data pipelines in production
whose output drove training decisions
, and can show how you measured their quality and downstream impact.
Evaluation rigor:
you've
designed and shipped
LLM evals or benchmarks that others used to make model decisions, and understand contamination, saturation, judge bias, inter-annotator agreement, variance, and confidence intervals.
Experimental judgment:
you plan ablations up front, choose baselines honestly, and can tell a real effect from noise.
Technical depth:
strong Python; production experience with PyTorch or JAX; working knowledge of the post-training stack (SFT, DPO, PPO/GRPO, RL with verifiable rewards).
Technical direction:
a track record of setting direction for a team, not only executing a roadmap handed to you.
Scale:
distributed data processing and large evaluation or training jobs (e.g., Ray, Spark, Kubernetes) on AWS or GCP.
Communication:
clear written communication for scientists and non-specialists alike; comfortable presenting results to researchers at partner labs.
AI-forward:
daily use of LLM coding tools (Claude Code, Cursor, Copilot) as part of how you ship, with the judgment to review their output critically. This is a must-have.
Education:
PhD or Master's degree in AI, machine learning, computer science, statistics, or a closely related field; PhD preferred. Exceptional equivalent research experience will also be considered. We weigh industry outcomes most heavily.
Strongly Preferred
Frontier AI lab experience:
post-training data, evals, or reward modeling at a frontier lab (e.g., OpenAI, Anthropic, Google DeepMind, Meta, xAI) or a top industry research group.
Built or contributed to a
public benchmark or dataset
the community uses.
Nice to Have
First-author papers at NeurIPS, ICML, ICLR, ACL, EMNLP, or similar.
RL environment and verifier design for agentic tasks: coding agents, tool use, computer use, long-horizon workflows.
Data valuation or attribution: measuring what each slice of data contributes to a model.
Depth in a STEM domain such as math, physics, chemistry, or biology (not required).
Experience managing tech leads or managers, or running several concurrent programs.
Directing large expert networks through specs, rubrics, and fast feedback loops.
A note from our CTO, Ece Kamar
Some of the most important questions in AI can't be answered from inside a single lab: how to evaluate frontier models, how data and RL truly drive capability, and what happens when AI meets the real world. At Turing, we work directly with frontier labs, the academic community, and enterprises deploying AI at scale. That creates a feedback loop where deployment shapes our research and our research shapes the field, and we publish our findings, datasets, and benchmarks openly. Join our talented team at Turing to push the frontier of AI with rigorous science that matters.
Why Turing
Work directly with leading AI labs and enterprises at the frontier of post-training, evaluation, and synthetic data.
Build the datasets and benchmarks that improve and measure the capabilities of advanced AI systems.
Shape how frontier labs measure progress on coding and STEM reasoning.
Operate with high autonomy, rapid iteration, and meaningful commercial impact.
Collaborate with exceptional colleagues from organizations including Google, Meta, Amazon, and other leading technology companies.
Contribute to research that may be shared through technical publications and leading conferences such as ICLR, ICML, and NeurIPS.
Compensation
$260,000 to $350,000 + Equity
Don't meet every single requirement?
Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive, and authentic workplace and celebrate authenticity, so if you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
For applicants from the European Union, please review Turing's GDPR notice here.
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
and showcase your work at top conferences such as ICLR, ICML, and NeurIPS.
Bring frontier AI innovation to the enterprise
, applying lessons learned from leading AI labs to solve real-world business challenges.
Collaborate with and learn from exceptional colleagues
with deep AI experience from Google, Meta, Amazon, and other leading technology companies.
Move at the pace of AI innovation
, with the speed, ownership, and impact of a startup.
Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
For applicants from the European Union, please review
Turing's GDPR notice here
.
Location: Amman, Jordan
Workplace: fully
Must Love Humans! 🩵
At Tribe Wellness Sales, we’re on a mission to help people live longer, healthier lives through supplements that actually deliver. But here’s the catch: too many people grab a product online and then flounder—unsure how to use it or missing the guidance to make it work. That’s where you, our Product Sales Specialist (called a Protocol Review Specialist in our world), make the difference. Without you, people miss out on better health, customers lose confidence, and our mission stalls. With you? You’re the spark that turns a purchase into a transformation—for individuals and their loved ones.
What You'll Do:
Sell:
You’ll sell products and services for our human wellness clients, with millions of satisfied customers and growing!
Grow:
Work with a broad range of potential customers, transforming clients’ one-time customers into brand loyalists.
Learn:
Work closely with our dedicated leaders, leveraging our top-notch training resources to master the art of selling and representing Tribe's ethos.
Earn:
Operate with no cap on commission, providing limitless earning potential to integrate with our operations seamlessly.
Live:
Work from home in a global remote environment to have more time for what really matters, because commutes aren't fun.
Sales Ethics:
We are highly compliant and sell ethically, following all regulatory requirements, never overpromising what a product can do or making unsubstantiated claims.
Brand Integrity:
We partner with brands that care about what their selling, working with those who sell products of the highest quality and follow strict regulations.
What's In It For You:
Earnings:
This is a commission-only role. You'll have between 12 -15 appointments scheduled for you each day (more if you want them and you're closing sales). You'll earn 14%-17% of net sales. Each sale ranges from
$250-$2,500
. There is no cap on commissions.
The Tribe Tool Kit:
We have a battle-tested tool kit we provide for all our sales consultants, including Rippling, Vonage, and Salesforce, ensuring you're primed for success the second you hit the phones.
Remote Work:
You’ll have the freedom of a fully remote position, allowing for a work-life balance that suits your lifestyle.
Be Part of the Tribe:
No matter your title, you’ll join a community that values partnership, advocacy, and growth. We believe in nurturing our team members and fostering an environment of collaboration, support, and mutual success.
What We’re Looking For:
Highly-driven self starters, who are motivated by growth opportunities and the drive to excel in sales, with the knowledge, background, or raw passion around health and wellness.
Excellent verbal and written skills, with top-notch communication skills and a knack for building genuine connections.
The ability to work 40 hours per week (8 hours per day) starting at 8 AM CST.
Reliable internet and equipment are required.
Because this position involves frequent phone and video calls, you’ll need a setup that can support clear, uninterrupted conversations.
This means you should have:
A fast and reliable laptop or desktop computer, with a working mic, camera, and a headset, so you can comfortably run our call system, Salesforce, and Zoom at the same time.
Ethernet connection strongly preferred because it provides the most consistent call quality. (Usually requires only an inexpensive cable you plug into your desktop/laptop and modem.)
Enough dedicated internet speed to support calls and video without freezing, delays, or dropped audio.
Minimum
[10] Mbps download / [5] Mbps upload
of dedicated bandwidth, with
latency under ~150ms, jitter under ~30ms, and packet loss under ~1%
.
Join us if you’re ready to play a pivotal role in reshaping the world of human health and wellness while thriving in a growth-centric global environment with amazing people. If that sounds like you,
Tribe Wellness is your tribe.
Apply today and work with a very different type of company.
#li-remote
Location: Москва
Мы развиваем продукт DataQuality — систему мониторинга качества данных, которая в реальном времени следит за потоком событий антифрод-платформы: согласованность полей, заполненность расчетов, стабильность скорингов и агрегатов, статистику срабатывания фрод-правил, пропажу типов событий. При отклонениях система поднимает алерты по уровням severity (info / warning / critical) с оповещением в чат и автоматическими тикетами.
Мы ищем аналитика данных, который возьмет на себя две связанные задачи: довести систему алертов до состояния, когда сигналов мало, но каждый - по делу, и исследовать связанные с данными обращения пользователей антифрод-платформы, находя в них подсказки о том, что мы еще не умеем мониторить.
Обязанности
* выполнение ad - hoc запросов, визуализация и интерпретация данных, поиск инсайтов, выявление аномалий и закономерностей. Проведение аналитических исследований, связанных с противодействием кибермошенничеству
* автоматизация и обеспечение расчёта ключевых показателей системы Антифрод
* обновление и актуализация методологии по расчёту различных метрик, связанных с фродмониторингом
* участие в проектах со смежными DS/DE- командами
* сопровождение и формирование аналитических отчётов для руководства и кросс-функциональных команд
Требования
* высшее техническое образование
* опыт работы в области анализа данных не менее 5 лет
* Python как рабочий инструмент: pandas/numpy для разбора выгрузок, способность быстро написать скрипт, который поднимет историю срабатываний и покажет, какие пороги дают ложные сигналы.
* SQL / Spark SQL уверенно: оконные функции, агрегации, джойны, работа с NULL, CAST, BETWEEN, LIKE. Условия проверок в системе пишутся на Spark SQL - это ежедневный инструмент.
* статистика и алгоритмы анализа данных: дрейф распределений (PSI), отклонение среднего и дисперсии от базовой линии, выбросы (z-score / IQR), сезонность; понимание precision/recall применительно к алертам.
* понимание принципов мониторинга качества данных: типы проверок, уровни severity и то, что за ними стоят разные действия - от информирования до инцидента.
Условия
* комфортный современный офис рядом с м. Кутузовская, формат работы - офис
* корпоративный спортзал и зоны отдыха
* более 400 образовательных программ СберУниверситета для профессионального и карьерного развития
* расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа
* бесплатная подписка СберПрайм+, скидки на продукты компаний-партнеров
* вознаграждение за рекомендацию друзей в команду Сбера.
headМосква; Мы ищем аналитика данных, который возьмет на себя две связанные задачи: довести систему алертов до состояния, когда сигналов мало, но каждый - по делу, и исследовать связанные с данными обращения пользователей антифрод-платформы, находя в них подсказки о том, что мы еще не умеем мониторить
Location: Remote - EMEA
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 a Cyber & AI Risk Analyst, you will play a critical role in strengthening Alpaca’s security, compliance, and AI risk posture across the organization. Reporting to the Cyber GRC Lead, you will support the identification, assessment, and documentation of cybersecurity and AI-related risks that impact our infrastructure, products, trading systems, and internal operations.
You will contribute to the design and execution of our risk management framework across traditional cyber domains (cloud security, infrastructure, application security, third-party risk, regulatory compliance) while also helping establish foundational governance controls for AI systems, models, and AI-enabled product features.
This role sits at the intersection of cybersecurity, emerging AI governance, regulatory expectations, and financial services risk management. You’ll collaborate closely with Engineering, Product, Legal, Compliance, and IT teams to ensure Alpaca remains resilient, compliant, and forward-looking in how we manage both Cyber and AI risk.
We’re looking for someone curious, organized, and eager to grow. If you enjoy learning how technical systems work, translating risk into clear language, and building structured programs from the ground up, then this role is for you. Prior GRC experience is a plus, but not required; we’re happy to invest in the right candidate.
Things You Get To Do:
Support the execution of Alpaca’s cybersecurity risk management program
Conduct cyber risk assessments across cloud infrastructure , APIs, trading systems, and internal platforms
Assist in identifying, documenting, and evaluating AI-related risks (model risk, data privacy, bias, explainability, adversarial threats, model misuse)
Help develop and maintain AI governance controls aligned with evolving regulatory expectations such as the EU AI Act
Perform third-party/vendor security and AI risk assessments
Contribute to control testing across frameworks such as SOC 2, ISO 27001, CSA Star, NIST CSF, and emerging AI governance standards
Track remediation efforts and maintain risk registers and reporting dashboards
Support internal and external audits by preparing documentation and evidence
Monitor regulatory developments related to cybersecurity, financial services, and AI governance
Help mature policies, standards, and procedures for both cyber and AI domains
Support the development of a repeatable AI tool/model evaluation process (intake → review → decision) for new and in-use AI tools
Support Alpaca's AI usage guidance and standards, including safe use of AI-enabled developer tools and assistants
Help maintain AI logging/monitoring standards (audit logging, evidence) for AI systems
Use AI tools in day-to-day work and help test how well AI-related controls are working
Who You Are (Must-Haves):
1+ years of experience in cybersecurity, risk management, IT audit, GRC, or a related field - internships, coursework, or equivalent experience is welcome
Foundational understanding of cybersecurity principles (network security, cloud security, IAM, application security, vulnerability management)
Familiarity with common frameworks such as NIST CSF, ISO 27001, SOC 2, or similar
Understanding of AI/ML concepts and associated risks (data governance, model bias, hallucinations, prompt injection, model misuse, etc.) - you don’t need to be an expert, just curious
Strong written communication and documentation skills
Ability to assess technical risks and clearly communicate them to non-technical stakeholders
Experience working cross-functionally with engineering and product teams
Highly organized with strong attention to detail
Comfort working in a fast-paced environment
Genuine curiosity about AI and a strong desire to learn, actively experiments with AI tools, and wants to grow AI fluency as the field evolves
Comfort using AI tools daily and willingness to learn newer agentic / assistant-based tooling
Who You Might Be (Nice-to-Haves):
Academic background, personal interest, or real world experience in fintech, financial services, or trading platforms
Exposure to AI governance, model risk management, or responsible AI programs
Familiarity with emerging AI regulatory frameworks (e.g., NIST AI RMF, EU AI Act concepts, model governance practices)
Experience with GCP or other major cloud platforms
Experience supporting or observing SOC 2, ISO 27001, or regulatory audits
Security certifications (e.g., Security+, SSCP) or early-stage GRC certifications
Interest in pursuing advanced certifications (CISA, CRISC, CISSP, or AI governance certifications)
Experience working remotely or in distributed teams
Hands-on experience with AI/agentic tooling (e.g., AI coding assistants, LLM apps, or similar)
Personal projects or self-study in AI/ML that show initiative and interest
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.
Recruitment Privacy Policy
Location: İstanbul, Türkiye
Workplace: fully
Must Love Dogs!! 🐕🦺
At Tribe Wellness Sales, we’re on a mission to help pets live longer, healthier lives through supplements that actually deliver. But here’s the catch: too many pet owners grab a product online and then flounder—unsure how to use it or missing the guidance to make it work. That’s where you, our Product Sales Specialist (called a Protocol Review Specialist in our world), make the difference. Without you, pets miss out on better health, owners lose confidence, and our mission stalls. With you? You’re the spark that turns a purchase into a transformation—for pets and their people.
What You'll Do:
Sell:
You’ll sell products and services for our pet client, a company built for pet owners, by pet owners, with over a million happy dogs and growing!
Grow:
Work with a broad range of potential customers, transforming clients’ prospects into brand loyalists.
Learn:
Work closely with our dedicated leaders, leveraging our top-notch training resources to master the art of selling and representing Tribe's ethos.
Earn:
Operate with no cap on commission, providing limitless earning potential to integrate with our operations seamlessly.
Live:
Work from home in a global remote environment to have more time for what really matters, because commutes aren't fun.
Sales Ethics:
We are highly compliant and sell ethically, following all regulatory requirements, never overpromising what a product can do or making unsubstantiated claims.
Brand Integrity:
We partner with brands that care about what their selling, working with those who sell products of the highest quality and follow strict regulations.
What's In It For You:
Earnings:
This is a commission-only role. You'll have between 12 -15 appointments scheduled for you each day (more if you want them and you're closing sales). You'll earn 14%-17% of net sales (20-24.5% of GP). Each sale ranges from
$250-$2,500
. There is no cap on commissions.
The Tribe Tool Kit:
We have a battle-tested tool kit we provide for all our sales consultants, including Rippling, Vonage, and Salesforce, ensuring you're primed for success the second you hit the phones.
Remote Work:
You’ll have the freedom of a fully remote position, allowing for a work-life balance that suits your lifestyle.
Be Part of the Tribe:
No matter your title, you’ll join a community that values partnership, advocacy, and growth. We believe in nurturing our team members and fostering an environment of collaboration, support, and mutual success.
What We’re Looking For:
Highly-driven self starters, who are motivated by growth opportunities and the drive to excel in sales, with the knowledge, background, or raw passion around health and wellness.
Excellent verbal and written skills, with top-notch communication skills and a knack for building genuine connections.
The ability to work 40 hours per week (8 hours per day) starting at 8 AM CST.
Reliable internet and equipment are required.
Because this position involves frequent phone and video calls, you’ll need a setup that can support clear, uninterrupted conversations.
This means you should have:
A fast and reliable laptop or desktop computer, with a working mic, camera, and a headset, so you can comfortably run our call system, Salesforce, and Zoom at the same time.
Ethernet connection strongly preferred because it provides the most consistent call quality. (Usually requires only an inexpensive cable you plug into your desktop/laptop and modem.)
Enough dedicated internet speed to support calls and video without freezing, delays, or dropped audio.
Minimum
[10] Mbps download / [5] Mbps upload
of dedicated bandwidth, with
latency under ~150ms, jitter under ~30ms, and packet loss under ~1%
.
Join us if you’re ready to play a pivotal role in reshaping the world of pet health and wellness while thriving in a growth-centric global environment with amazing people. If that sounds like you,
Tribe Wellness is your tribe.
Apply today and work with a very different type of company.
#li-remote
Reliable internet and equipment are required.
Because this position involves frequent phone and video calls, you’ll need a setup that can support clear, uninterrupted conversations.
This means you should have:
A fast and reliable laptop or desktop computer, with a working mic, camera, and a headset, so you can comfortably run our call system, Salesforce, and Zoom at the same time.
Ethernet connection strongly preferred because it provides the most consistent call quality. (Usually requires only an inexpensive cable you plug into your desktop/laptop and modem.)
Enough dedicated internet speed to support calls and video without freezing, delays, or dropped audio.
Minimum
[10] Mbps download / [5] Mbps upload
of dedicated bandwidth, with
latency under ~150ms, jitter under ~30ms, and packet loss under ~1%
.
Join us if you’re ready to play a pivotal role in reshaping the world of pet health and wellness while thriving in a growth-centric global environment with amazing people. If that sounds like you,
Tribe Wellness is your tribe.
Apply today and work with a very different type of company.
#li-remote
Задачи:
— Разработка программного кода и тестирование.
— Проектирование и разработка потоков данных на ETL / ELT инструментах.
— Имплементация кастомных трансформаций.
— Проектирование и построение прототипов, витрин.
— Анализ производительности и масштабирование существующих систем.
— Оптимизация SQL запросов и структур баз данных.
— Разработка процедур на языке PL/pgSQL.
— Развитие архитектуры DWH, анализ и выбор оптимальных технологий, методологий и инструментов.
— Создание и актуализация базы знаний для пользователей DWH.
Требования:
— Знание принципов построения хранилищ данных.
— Опыт работы с экосистемой Hadoop и навыки Data Engineer, включая HDFS, Hive, YARN, Spark, Kafka, Nifi, Sqoop, Flume и другие.
— Знание SQL (DDL, DML) и опыт оптимизации запросов.
— Опыт работы с Greenplum и PostgreSQL.
— Знание Java или Groovy.
— Опыт использования систем ведения проектов, документации, сопровождения и мониторинга информационных систем.
— Опыт администрирования Hadoop и Linux.
Условия:
— Интересные и разнообразные проекты.
— Возможности карьерного и профессионального роста.
— Работа в энергичной молодой команде, готовой обмениваться опытом.
Требования:• Знание принципов построения хранилищ данных;• Опыт работы с экосистемой Hadoop/ навыки Data Engineer, HDFS / Hive (HDFS / YARN / Spark / kafka / Nifi / Sqoop / flume и т.д.);• Знание SQL (DDL, DML), опыт оптимизации запросов;• Опыт работы с Greenplum и PostgreSQL;• Знание Java / Groovy• Опыт использования системам ведения проектов и документации, сопровождения и мониторинга информационных систем, находящихся в зоне ответственности;• Опыт администрирования Hadoop / Linux
Location: New York
Workplace: OnSite
THE ROLE
As the first Global Head of Tax, you will own tax across the group. You will lead the internal Tax function, set the group's tax strategy and risk appetite, and become the person the C-suite, the board, lenders, auditors and tax authorities deal with on tax.
This is a builder's role in a high-growth business, based in New York. You will be in the room when we choose how to enter a new country, how to price a new product and how to fund a new entity. You will also close out the historical items a young function accumulates, put in place the controls and reporting a large multinational needs, and turn a capable team into a function that scales.
This role reports to the COO / CFO and works cross-functionally with finance, treasury, product and market teams as the internal expert on tax across the group. In your first year, you will agree the target structure and ETR with the CFO and CEO, own the US return and the TP project, and put historical corrections on a single closing plan.
KEY RESPONSIBILITIES
- Own Group Tax Strategy & Structure: Own the group's tax position: how our c.20 entities fit together, where profit and substance sit, and US international tax planning (GILTI, interest limitation, elections). Deliver a structure we can defend to any authority and an effective tax rate and cash-tax forecast the CFO and board can rely on, with tax budget and adviser spend under control.
- Lead US Tax: Own our US tax affairs: the consolidated federal return, state obligations across c.50 money-transmitter licences (nexus, apportionment, information reporting), our position on transaction taxes, and the relationship with the IRS and state authorities. Deliver a clean, on-time compliance record through outsourced advisors, building in-house capacity where necessary.
- Enable Market & Product Launches: Own tax for every new market we enter, product we ship and business we acquire. Give launch teams a clear tax decision early (entry vehicle, capitalisation, registrations, withholding, VAT, permanent establishment), diligence and integrate acquisitions, and make sure nothing is corrected after the fact that could have been right from day one.
- Run Compliance, Controls & Reporting: Own tax compliance and reporting across every jurisdiction and every tax: corporate tax, VAT/GST, withholding and employment taxes, provisioning under IFRS and US GAAP, and the audit relationship on tax. Keep complete visibility of obligations, close historical corrections, and build a function that would pass IPO-level scrutiny on controls, documentation, Pillar Two and the diligence pack.
- Manage Indirect & Operational Taxes: Own VAT and GST in a financial-services business, employment taxes, share schemes and global mobility, and customer tax reporting (CRS 2.0, US information reporting). Minimise VAT leakage, keep place-of-supply positions on partner agreements sound, set clear employment-tax and mobility policy as the team spreads across six hubs, and scope reporting obligations before products go live.
- Build & Lead the Tax Team: Own the in-house tax team, hiring plans and the adviser panel. Set clear goals, put advisers on defined scopes and budgets with a deliberate split between in-house and outsourced work, and integrate tax into decision-making across the business so colleagues get the input they need when they need it.
- Be the Face of Tax: Act as the main point of contact on tax for the C-suite, the board, lenders, auditors and tax authorities, giving non-specialists a clear decision with conditions, in days, and defending it later.
WHAT WE’RE LOOKING FOR
- Senior In-House Tax Leadership: 12+ years in tax, including time as either the #1 or #2 in-house tax owner in a multinational. You have led qualified tax professionals and external advisers across time zones.
- US Federal & State Tax Depth: Deep US federal and state corporate tax knowledge as applicable to a global US-headquartered fintech. You know what the key levers of tax effectiveness are for a business like ours.
- International Tax for a US-Headquartered Group: Hands-on experience choosing entry vehicles and incorporating new launches in a way that is tax effective for the overall group.
- Licensed Financial Services Experience: Experience in payments, remittances, e-money, banking or another licensed financial-services business.
- Qualifications: CPA. UK CTA/ACA with strong US experience also considered.
- Decisive Communication: The ability to give non-specialists a clear decision with conditions, in days, and to defend it later.
- Strongly Preferred: VAT on financial services in the EU, UK or Gulf; pre-IPO or listed-company experience (provisioning under IFRS and US GAAP, SOX-style controls, Pillar Two); tax due diligence and post-deal integration; tax technology and automation; experience with tax authorities in the US, EU and the Gulf.
WHO YOU ARE
- Ownership-Driven – You move things forward without being chased and tell people what you need.
- Sound Under Uncertainty – You take positions on incomplete facts and know which ones to revisit.
- Mission-Driven – Passionate about fintech-for-good and making a real difference in people's lives.
- A Builder – You would rather design the process once than repeat the fix.
- Curious About the Business – You want to understand corridors, partners and products, not only the returns.
About Us
We’re building the world’s leading cross-border fintech for emerging markets - empowering families, fuelling local economies, and changing how millions access financial services.
Since our launch in 2019, we have transformed how money moves across borders with our operations spanning 6 out of 7 continents and covering both the busiest and most underserved (remittance) corridors. We tapped into a massive shift - from banks to phones - bringing digital finance to places where traditional systems never reached. The next stage of growth will fuel a network of services and products especially designed to make money more accessible to diaspora communities including local cards, and additional savings and payments features.
We’re growing fast, backed by world-class investors, and scaling a product that blends real world impact with cutting edge fintech innovation.
Here’s a little more:
- Founded by Harvard grads and 3-time founders who previously built Segovia (acquired) and GiveDirectly (>$300M revenue, fastest-growing NGO in the world)
- Backed by top investors including Spark Capital, Canaan, Reid Hoffman, Breyer Capital, Unbound, Wamda, and more
- Built by global top performers from Bain, Google, McKinsey, Uber, Checkout, Bolt, and beyond - we move fast, stay humble, and care deeply about our mission
- Truly global team - 250+ people, 50+ nationalities, 50+ languages
- Guided by our values - ownership, impact, humility, and heart - in deed, not just word
TAPTAP VALUES https://www.taptapsend.com/our-values
Impact first
Team next
Accept reality
Propose solutions
Win with grit
Be proactively candid, with yourself and others
Love the particular
Own it
Create positive energy
Maybe, even have fun
Taptap Send is an equal opportunity employer dedicated to building an inclusive and diverse workforce. All employment decisions are decided on the basis of qualifications, experience and business need. We strongly encourage applications who are members of underrepresented communities to apply.
If you require reasonable adjustments to be made during the recruitment process, please do not hesitate to let us know. Any information you provide us in this respect will only be used to accommodate your requirements.
Note: we recognize imposter syndrome is real - any candidate that does not perfectly fit every characteristic of this role is still strongly encouraged to apply.
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 building a high-performing strategic finance team and looking for exceptional people at every level, from strong individual contributors to senior finance leaders ready to build and lead teams. Our revenue scales with customer usage, our costs scale with GPU capacity we commit to ahead of demand, and both move faster than any annual plan. That makes growth, portfolio construction, pricing, margin, and compute capacity decisions business model decisions. You'll sit at the center of them, working directly with Finance leadership and the executives who run the business to shape the company's trajectory.
This posting is intentionally broad within strategic finance. We'll match your scope and title to your experience and interest. We are looking for both specialists and generalists. The common thread is ownership: you'll take on hard, ambiguous problems, build what doesn't exist yet, and get more responsibility as fast as you can handle it. We encourage you to apply even if you don't meet every qualification listed below.
THE RESPONSIBILITIES
- Financial Modeling: Build and maintain models across revenue, gross margin, compute costs, headcount, and strategic bets that leadership uses to make decisions.
- Business Partnership: Partner with leaders across GTM, Product, Infrastructure, and Operations to set targets, evaluate investments, and work through operational tradeoffs.
- Unit Economics: Analyze the metrics that define a usage-based business, including ARR, consumption trends, gross margin, GPU utilization, retention, and GTM efficiency.
- Pricing and Deals: Shape pricing, packaging, and the structure of strategic customer and supplier deals.
- Board and Investors: Help prepare board materials, investor updates, and fundraising analyses.
- Systems and Scale: Build the reporting, dashboards, and processes that let finance scale as fast as our revenue. Use AI and automation extensively to keep the team fast and lean.
- Strategic Projects: Turn ambiguous business questions into clear analysis and recommendations, from market sizing to scenario planning to new business lines.
- Leadership: For senior hires, own a major area of finance end to end, build and develop a team, and act as a thought partner to Finance leadership and the executive team.
THE REQUIREMENTS
- Experience in strategic finance, FP&A, investment banking, PE/VC investing, and/or consulting. Prior experience in high-growth technology is strongly preferred
- Excellent financial modeling and analytical skills
- Ability to synthesize complex information into clear recommendations for executives
- Comfortable operating in a fast-moving, ambiguous environment
- Strong attention to detail with a bias toward ownership and execution
- Excellent written and verbal communication, including explaining financial tradeoffs to product and engineering audiences and influencing senior stakeholders
- Sound judgment when data is incomplete, and comfort making a call and revisiting it as you learn more
- High intellectual curiosity and interest in AI / infrastructure / developer tooling
- Advanced Excel / Google Sheets skills; familiarity with SQL or BI tools is a plus
STRONG CANDIDATES MAY ALSO HAVE
- 4+ years of experience. Level and title will match your experience
- Experience at an AI/ML, cloud infrastructure, or usage-based software company
- Familiarity with GPU and compute economics, or data center and cloud contracts
- Experience in sales finance, sales compensation, pricing, or deal desk
- Experience building a finance function from the ground up at a hypergrowth company
- Prior quantitative or technical experience
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).
ГибридSan Francisco; New York
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