Location: San Francisco; Remote; Toronto; New York; Montreal; Seattle
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 are seeking an experienced and detail-oriented GRC (Governance, Risk, and Compliance) Manager to build, support, and continuously enhance Baseten’s security governance, compliance, and privacy programs. As one of the early members of our security organization, you will play a key role in ensuring our platform meets and exceeds the highest standards for privacy, trust, and regulatory compliance.
You’ll work closely with Engineering, Product, Security, and Legal to define compliance requirements, assess platform capabilities, and drive implementation from initial scoping through validation. You will also lead customer assurance efforts, helping customers understand our security architecture and compliance posture while bringing their requirements back into product planning.
Alongside this product focus, you’ll contribute to Baseten’s broader GRC program, including governance, risk management, audits, vendor assessments, and security awareness.
RESPONSIBILITIES
- Product Compliance: Translate regulatory, framework, and customer requirements into clear product requirements and technical controls, partnering with Engineering and Product to build compliance into platform design and development.
- Governance & Policy Development: Design, implement, and maintain security governance frameworks, policies, and procedures that align with Baseten’s risk posture and industry best practices.
- Risk Management: Build and manage the company-wide risk assessment program, identifying, tracking, and mitigating key security and compliance risks.
- Compliance Operations: Support efforts to achieve and maintain compliance with SOC 2, ISO 27001/27701, HIPAA, FedRAMP and other applicable standards and regulations.
- Audit & Certification Management: Coordinate external audits and certification processes, ensuring evidence collection, control validation, and remediation plans are executed efficiently.
- Third-Party Risk Management: Oversee vendor security assessments and ensure third-party providers meet Baseten’s security and compliance standards.
- Cross-Functional Collaboration: Partner with Engineering, Product, and Operations teams to embed compliance and risk management into day-to-day operations and technical processes.
- Customer Trust & Assurance: Support customer security questionnaires, due diligence efforts, and documentation requests from prospective and existing clients.
- Training & Awareness: Develop and deliver security and compliance training to ensure company-wide understanding of key policies and responsibilities.
- Continuous Improvement: Stay current on evolving regulatory requirements and lead initiatives to mature our compliance and risk management programs.
REQUIREMENTS
- BS Degree in CS, CE, MIS or equivalent field
- 5+ years of experience in GRC, Security Compliance, or Information Security roles, ideally in a SaaS or cloud-native environment.
- Strong understanding of security frameworks and standards such as SOC 2, ISO 27001, NIST, and GDPR.
- Proven track record managing compliance audits and certification programs end-to-end.
- Experience working directly with leaders and executives within Enterprise organizations
- Experience working cross-functionally with technical and non-technical stakeholders to implement compliance and security controls.
- Proven experience driving product compliance by translating regulatory and customer requirements into actionable product controls with Engineering and Product
- Experience defining project requirements and driving implementation by translating compliance objectives into clear deliverables, coordinating cross-functional stakeholders, and managing execution through completion.
- Experience responding to customer security questionnaires and leading customer security interviews, with the ability to clearly communicate security controls, compliance posture, and risk management practices to technical and nontechnical audiences.
- Ability to thrive in a fast-paced, high-growth startup environment while maintaining structure and process discipline.
NICE TO HAVE
- Experience with cloud security compliance in AWS or GCP environments.
- Hands-on experience using GRC tools (e.g., Vanta, Drata, Secureframe, Anecdotes).
- Understanding of AI/ML security considerations, data privacy, and model governance.
- Previous experience building and implementing security controls in an early-stage or rapidly growing startup.
- Relevant certifications (e.g., CISA, CISSP, CISM, ISO 27001 Lead Implementer).
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; Remote; Toronto; New York; Montreal; Seattle
Location: San Francisco
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
This role sits at the applied end of our post-training research efforts. You will work directly with stakeholders from the world’s fastest-growing AI companies to post-train open-source models that outperform frontier closed models on their specialised tasks. Your day-to-day is finding creative ways to extract signal from complex, domain-specific datasets and building the reward functions, environments, eval harnesses, and training pipelines that turn that signal into better models. The models you train ship to production and reach millions of users.
We are looking for people with hands-on LLM fine-tuning and RL experience. Researchers who are excited by the prospect of shipping models into production, who can translate a customer's domain-specific requirements into an effective training curriculum, and who know when to be rigorous and when to iterate fast.
RECENT RESEARCH
- Dense, on-policy or both? https://www.baseten.co/research/dense-on-policy-or-both/
- Repeated kv cache for long-running agents https://www.baseten.co/research/repeated-kv-cache-for-long-running-agents/
- Distillation without the dark – replicating black-box on-policy distillation on Baseten https://www.baseten.co/research/distillation-without-the-dark/
RESPONSIBILITIES
- Design and run post-training pipelines: SFT, GRPO, DPO, RLVR, reward function engineering, and synthetic data generation.
- Build task-specific training environments and evals tailored to customer domains like healthcare, code generation, and legal, spanning multi-turn tool use, sandboxed execution, and agentic workflows.
- Work directly with customers to translate production data into training signal, designing reward loops from real usage patterns and handling distribution shift.
- Run and analyze training experiments end-to-end: diagnose reward hacking, importance sampling drift, and advantage estimation instabilities.
- Publish findings at top venues and contribute to Baseten's open-source training libraries.
QUALIFICATIONS
- Hands-on experience training LLMs with reinforcement learning — demonstrated understanding of GRPO or PPO beyond recipe-level reproduction, including group advantage computation, clipped objectives, and KL penalty design
- Strong intuition for reward engineering: the ability to distinguish between a reward that trains effectively and one that will exploit at scale
- Experience building multi-turn agent environments with tool use, not limited to single-turn question-answering setups
- Comfort working across the full pipeline from dataset construction through training, evaluation, and deployment
- Experience with production ML systems. Preference for candidates who have closed a training–inference loop where production data feeds back into model improvement
PREFERRED QUALIFICATIONS
- Experience with RL training frameworks
- Publications at NeurIPS, ICML, ICLR, focused on RL for LLMs, reward modeling, or alignment
BENEFITS
- Competitive compensation, including meaningful equity
- (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents
- Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
- Paid parental leave
- Fertility and family-building stipend through Carrot
- (U.S. only) Company-facilitated 401(k)
- Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
Location: Remote - Americas
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
: We're looking for a Senior Data Scientist, AI Evaluation to design how Alpaca measures whether our models and agents are actually right. You'll be a senior individual contributor who turns ambiguous quality questions into ground truth, scoring methods, and eval loops that the company can trust—and uses those results to make the systems better. You'll build on an established data foundation, so the focus is raising quality and speeding up safe rollout. You'll own the quality bar, independent of the teams that build and optimize those systems.
This role is for someone who cares as much about whether an answer is correct as about whether a model can generate one. You'll partner with Product, Engineering, Analytics Engineering, and business stakeholders to define what "good" looks like, build the evaluations that test it, and close the loop so evals drive iteration. If you have a strong quantitative background, have shipped rigorous, measurable work (evaluation, experimentation, or model validation), and want ownership over a greenfield eval practice at a fast-growing brokerage-infrastructure company, this is the role.
What You'll Do
Design AI evaluations: Define ground truth, metrics, and scoring methods for models and agents.
Build repeatable eval loops: Track quality over time and catch regressions before release.
Partner on infrastructure: Work with engineering and analytics engineering to operationalize eval harnesses.
Drive iteration: Translate eval results into actionable recommendations for system improvements.
Establish quality standards: Set evaluation guidelines, documentation, and review practices.
Mentor and align: Foster evaluation best practices and build a culture of measurable AI quality across the team.
What We're Looking For
Track record of quantitative measurement rigor (e.g., LLM/model evaluation, metric validation, or experimentation).
Strong statistical and ML foundation—you treat evaluations as experiments (sample sizing, confidence intervals, significance, handling non-determinism) and validate automated graders against human ground truth.
Proficiency in Python and SQL, with experience evaluating models in production environments.
Strong judgment in defining quality metrics and ground truth for ambiguous outputs.
Excellent communication and cross-functional collaboration skills to align technical teams and leadership.
Strong problem-solving ability in fast-paced, greenfield environments.
6–10 years in quantitative data science or ML, with focused experience in measurement or evaluation. A quantitative degree is a plus; equivalent industry experience is equally welcome.
Nice to Have
Hands-on LLM/agent evaluation in production, including eval harnesses, LLM-as-judge calibration, and CI regression gates.
Experience evaluating text-to-SQL, analytics agents, or other systems where correctness is verifiable against data.
Background in fintech, brokerage, or other domains where a wrong answer has real business or risk consequences.
Fluency with AI tools in research and engineering workflows.
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: Remote - Global Anywhere
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:
Our Trading API product team at Alpaca is looking for a Senior Product Manager to drive growth across Alpaca’s direct channel — from core Trading API products to Alpaca Connect / Marketplace, our ecosystem for third-party apps and partners. In this role, you will define and ship product initiatives that deepen developer and trader engagement, expand the partner ecosystem, and grow trading volume and revenue, while closely collaborating with engineering, design, data, marketing, partnerships, operations, and other cross-functional teams across Alpaca.
Your Responsibilities:
Shape the Alpaca Connect / Marketplace roadmap: self-service partner onboarding and approval, app discovery and distribution, OAuth / consent experiences, and platform utilities that help partners get found, adopted, and scaled
Help drive Trading API product strategy by deeply understanding customer and partner needs and behaviors, analyzing ROI, assessing market competition, and evaluating build-vs-buy opportunities
Define and own product requirements, partnering with engineering, design, operations, data, partnerships, and other cross-functional teams to deliver high-quality products on time
Own product metrics by leveraging data analytics to measure success, identify opportunities, and drive continuous improvement
Guide go-to-market strategy and execution, partnering with marketing, sales, partnerships, and operations to drive product adoption, activation, retention, and revenue growth
Drive Trading API growth— acquisition, activation, retention, and monetization — by deep-diving the user funnel, removing friction, optimizing conversion, and running experiments that move trading volume and revenue
Take ownership of ad hoc projects and initiatives as business needs evolve
Who You Are (Must-Haves):
Excited about what Alpaca is building
Bachelor’s or Master’s degree in Computer Science, Mathematics, STEM, or a related field
6+ years of experience in Product Management, Engineering, Trading, or building a product of your own
Deep passion for trading, markets, and financial products
Strong analytical skills with proficiency in SQL
Sharp business acumen, with the ability to balance user experience, stakeholder needs, technical feasibility, and resource constraints
Strategic thinker who can zoom in on solving immediate problems while keeping long-term company goals in mind
Highly self-driven, with exceptional communication skills to bridge technical and non-technical audiences
Who You Might Be
(
Nice-to-Haves):
Experience building or scaling trading platforms, brokerage products, developer platforms, or integration marketplaces
Hands-on experience with algorithmic trading
Technical background with experience working with APIs or partner ecosystems
Experience owning growth metrics
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
Задачи:
— Разрабатывать и совершенствовать платформу данных электронной коммерции нового поколения
— Проектировать и разрабатывать ETL пайплайны на Airflow для Spark (Batch, Streaming), Iceberg, Trino
— Оптимизировать действующие пайплайны и джобы на Spark, мониторить нагрузку на кластер и оптимальность ресурсов, при необходимости оптимизировать
— Взаимодействовать с аналитиками и ML специалистами для создания и развертывания инструментов и наборов данных, поддерживать связи с data ops для развития дата-платформы
— Анализировать и внедрять инструменты инжиниринга данных (Lineage, DQ)
— Проектировать хранилища данных на основе Kubernetes, настраивать производительность, мониторинг, планировать емкости кластера и инфраструктуры
— Решать задачи, связанные с внедрением облачной инфраструктуры, разрабатывать новую архитектуру хранилища
— Проводить code review и участвовать в архитектурных решениях по дата платформе
Требования:
— Понимание ресурсной модели Kubernetes, просмотр конфигураций, troubleshooting
— Опыт работы с Hadoop (HDFS, Hive Metastore)
— Опыт работы со Spark (spark SQL, streaming, понимание нюансов работы с pyspark)
— Владение процедурами, snapshots, maintenance Apache Iceberg
— Глубокое понимание Airflow (версии 2, 3), включая идемпотентность, assets, backfills
— Уверенное знание Git, CI/CD
— Знание Python, Scala/Java, ООП, проектирование библиотек, интеграционные и юнит тесты
— Хорошее понимание СУБД, SQL
Будет плюсом:
— Опыт работы с Docker для поднятия локального окружения проекта
— Опыт работы с Kafka, понимание архитектуры и слабых мест
— Опыт с облачными технологиями, преимущественно Yandex Cloud
— Опыт с Clickhouse
— AI-native подход к разработке: использование Claude Code / Codex и подобных инструментов, опыт построения harness-систем — агентов с инструментами, автоматизации через LLM, RAG
Задачи:
— улучшать рекомендации
— искать гипотезы
— прототипировать на GPU
— выкатывать в A/B-тесты
Требования:
— опыт 3+ года
— знание Python, SQL, Spark, Docker, Git, ClickHouse, Redis, Deep Learning
Условия:
— удалённая работа или офис
— фултайм
Требования:
▫️Data Platform: Microsoft Fabric (OneLake, Data Factory, Synapse Data Engineering / Data Warehouse)
▫️Data Engineering: Apache Spark / PySpark, Azure Data Factory, Dataflow Gen2, ETL/ELT
▫️Programming: Python, SQL / T-SQL
▫️Architecture & Storage: Lakehouse / DWH, Medallion Architecture (Bronze / Silver / Gold), Delta Lake / Parquet
▫️Cloud: Microsoft Azure, AWS S3 / GCP, Fabric Shortcuts
▫️DevOps: Git, Azure DevOps / GitHub Actions, Docker, CI/CD
▫️Data Analytics: Data Marts, relational data modeling, Power BI - буде преимуществом
▫️Английский: В2+
Основные задачи:
▫️Архитектура Lakehouse / DWH
Проектирование и построение end-to-end архитектуры хранилища данных с нуля в среде Microsoft Fabric.
Реализация многоуровневой архитектуры хранения данных по модели Medallion — Bronze, Silver, Gold — на основе Delta Lake (Parquet).
▫️Разработка ETL/ELT-пайплайнов
Создание и поддержка надёжных и отказоустойчивых pipelines для интеграции данных с использованием Azure Data Factory и Dataflow Gen2.
Настройка подключений к внешним облачным источникам AWS S3 / GCP через Fabric Shortcuts.
▫️Обработка больших данных
Разработка и оптимизация высокопроизводительного распределённого кода на PySpark для очистки данных, сложных трансформаций и агрегации больших объёмов информации.
▫️Проектирование Data Marts и работа с T-SQL
Проектирование реляционных моделей данных и аналитических представлений в Synapse Data Warehouse.
Оптимизация сложных T-SQL-запросов для достижения минимальной задержки.
▫️Автоматизация и CI/CD
Настройка процессов Continuous Integration и Continuous Deployment с использованием Azure DevOps / GitHub Actions для автоматизации развёртывания инфраструктуры DWH, схем и кода.
Требования:
▫️Data Platform: Microsoft Fabric (OneLake, Data Factory, Synapse Data Engineering / Data Warehouse)
▫️Data Engineering: Apache Spark / PySpark, Azure Data Factory, Dataflow Gen2, ETL/ELT
▫️Programming: Python, SQL / T-SQL
▫️Architecture & Storage: Lakehouse / DWH, Medallion Architecture (Bronze / Silver / Gold), Delta Lake / Parquet
▫️Cloud: Microsoft Azure, AWS S3 / GCP, Fabric Shortcuts
▫️DevOps: Git, Azure DevOps / GitHub Actions, Docker, CI/CD
▫️Data Analytics: Data Marts, relational data modeling, Power BI - будет преимуществом
▫️Английский: В2+
Основные задачи:
▫️Архитектура Lakehouse / DWH
Проектирование и построение end-to-end архитектуры хранилища данных с нуля в среде Microsoft Fabric.
Реализация многоуровневой архитектуры хранения данных по модели Medallion — Bronze, Silver, Gold — на основе Delta Lake (Parquet).
▫️Разработка ETL/ELT-пайплайнов
Создание и поддержка надёжных и отказоустойчивых pipelines для интеграции данных с использованием Azure Data Factory и Dataflow Gen2.
Настройка подключений к внешним облачным источникам AWS S3 / GCP через Fabric Shortcuts.
▫️Обработка больших данных
Разработка и оптимизация высокопроизводительного распределённого кода на PySpark для очистки данных, сложных трансформаций и агрегации больших объёмов информации.
▫️Проектирование Data Marts и работа с T-SQL
Проектирование реляционных моделей данных и аналитических представлений в Synapse Data Warehouse.
Оптимизация сложных T-SQL-запросов для достижения минимальной задержки.
▫️Автоматизация и CI/CD
Настройка процессов Continuous Integration и Continuous Deployment с использованием Azure DevOps / GitHub Actions для автоматизации развёртывания инфраструктуры DWH, схем и кода.
Задачи:
— Реализовывать, тестировать, отлаживать и поддерживать компоненты движка выполнения запросов, включая операторы запросов, вычисление выражений, планирование выполнения и управление ресурсами.
— Писать чистый, поддерживаемый код на Java, добавлять модульные и интеграционные тесты, следовать установленным инженерным практикам по ревью кода, тестированию и документации.
— Диагностировать проблемы с корректностью, надежностью и производительностью запросов, используя профили запросов, логи, телеметрию, бенчмарки и данные из продакшена.
— Изучать основы работы рантайма и производительности, включая векторную обработку, параллелизм, управление памятью, обмен данными и использование диска.
— Сотрудничать с командой, включая старших инженеров и партнерские команды, для понимания требований, разбиения задач и постепенного улучшения системы.
— Использовать инструменты разработки с поддержкой ИИ для понимания кода, отладки, генерации тестов и документации, проверяя результаты через тестирование и ревью.
— Активно участвовать в обсуждениях дизайна и ревью кода, получать обратную связь и брать на себя расширенную техническую ответственность.
Требования:
— До двух лет профессионального опыта разработки ПО или эквивалент через стажировки, учебные проекты или личные проекты.
— Владение Java или другим объектно-ориентированным языком программирования, готовность работать с большим кодовой базой на Java.
— Знание основ компьютерных наук: структуры данных, алгоритмы, базовые концепции параллелизма.
— Умение решать технические задачи, задавать вопросы и применять обратную связь.
— Стремление писать тестируемый, поддерживаемый код и следовать практикам разработки, тестирования и ревью.
— Навыки коммуникации и сотрудничества, умение сообщать о прогрессе и проблемах.
— Высшее образование в области компьютерных наук или эквивалентный практический опыт.
Преимущества:
— Опыт с внутренним устройством баз данных, обработкой запросов, распределенными системами или крупномасштабной обработкой данных.
— Знакомство с концепциями производительности, такими как профилирование, управление памятью, параллелизм, векторная обработка.
— Опыт с C++, Apache Arrow, Parquet, Apache Iceberg, Spark, Hadoop, облачными хранилищами.
— Вклад в проекты с открытым исходным кодом.
Условия:
— Удаленная работа.
Компания Dremio — платформа lakehouse для аналитики и ИИ, использующая открытые технологии Apache Iceberg и Apache Arrow, обслуживает крупные мировые компании.
Задачи:
— Развивать и сопровождать инфраструктуру на bare metal, виртуальных машинах и Kubernetes
— Автоматизировать сборку, доставку и развёртывание приложений с помощью GitLab CI/CD и Argo CD
— Обеспечивать отказоустойчивость сервисов в инфраструктуре с тремя точками присутствия, участвовать в проектировании и проверке сценариев переключения и восстановления
— Сопровождать системы хранения, базы данных и инфраструктурные сервисы: управлять конфигурациями, обновлениями, резервным копированием и восстановлением
— Развивать мониторинг и оповещения, находить узкие места, разбирать инциденты и устранять причины повторяющихся сбоев
— Обеспечивать безопасное взаимодействие сервисов, управление секретами, сертификатами и доступом
— Документировать архитектуру, эксплуатационные процедуры и принятые технические решения
Требования:
— DevOps-инженер для развития и эксплуатации инфраструктуры проектов в области информационной безопасности
— Понимание связей между приложениями, контейнерами, сетями, хранилищами и физическим оборудованием, умение разбираться в причинах проблем на разных уровнях
— Опыт работы с Linux и понимание принципов эксплуатации серверной инфраструктуры
— Понимание работы bare metal, гипервизоров и виртуализации; знакомство с Proxmox VE и VMware
— Уверенное понимание модели OSI на уровнях L1–L7 и способность применять эти знания при диагностике
— Понимание маршрутизации, NAT и DNS, умение разбирать проблемы сетевой связности и доступности сервисов
— Понимание принципов построения отказоустойчивой инфраструктуры на трёх площадках: репликации, кворума, поведения систем при потере площадки или связи между ними
— Понимание практик применения СКЗИ, работы с сертификатами и взаимной TLS-аутентификации — mTLS
— Самостоятельность в диагностике, аккуратность при изменениях и умение оценивать их влияние на доступность и безопасность
Будет плюсом:
— Опыт работы с сетевым оборудованием MikroTik и Huawei
— Понимание принципов работы NGFW, в том числе решений Positive Technologies
— Опыт работы с NetBird
— Понимание архитектуры и принципов работы UEM- и MDM-систем
— Опыт развёртывания и эксплуатации инфраструктуры для локальных LLM: vLLM, LiteLLM, llama.cpp, модели и инструменты Hugging Face
— Знакомство с GPU-инфраструктурой и ускорением вычислений: NVIDIA / CUDA, DGX Spark, macOS / Metal
Задачи:
— Разработка и доработка собственной WMS на 1С
— Автоматизация складских процессов
— Интеграции с ERP, маркетплейсами и внешними системами
— Разработка отчётов и обработок
— Анализ ошибок и оптимизация 1С
Требования:
— Знание 1С:Предприятие 8.3, встроенного языка и SQL-запросов 1С
— Опыт разработки отчётов, обработок и обмена данными
— Понимание клиент-серверной архитектуры
— Опыт работы от 1 года
— Будет преимуществом опыт работы с WMS, REST API и в логистике.
Условия:
— Стабильная компания и современный офис
— Профессиональный и карьерный рост
— Интересные задачи и дружная команда
— Опыт: от 1 года
— Зарплата: обсуждается
Важно: рассматриваются только кандидаты из Алматы.
Полностью удалённый формат не предусмотрен.
Location: Москва
В Департамент ИТ блока «Корпоративно-инвестиционный бизнес» в команду «1,5 КГ отличного ЮЛ» открыта позиция Дата инженера.
Мы занимаемся анализом жизненного цикла Клиента в Банке, а также оценкой и прогнозом его финансового положения.
Текущая реализация на микросервисной архитектуре.
У Вас будет возможность поработать с богатыми и интересными данными. Стать частью быстрорастущего DS сообщества Сбербанка. Возможность писать на современном стеке (Python + Spark) и проникнуться всеми нюансами работы в большой технологической компании.
Обязанности
* взаимодействие с PO и аналитиками для согласования требований
* проектирование и разработка аналитических витрин данных
* конфигурирование сборки, поставки на стенд, витрин данных и интеграций (API, ТФС)
* определение очередности расчетов
* разработка и поддержка спецификаций
* проведение интеграционного, unit, регрессионного тестирования
* мониторинг и оптимизация работы витрины: взаимодействие с сопровождением hadoop кластера и разработчиками Core-сервисов.
Требования
* опыт работы дата-инженером от 2 лет
* опыт работы с Hadoop и Apache Spark Scala
* отличные знания SQL (JOINы, агрегаты, группировки, вложенные запросы, индексы, оконные функции)
* знание основных алгоритмов и структур данных
* опыт разработки в парадигме ООП, знаете его основные принципы
* знание форматов данных: сsv, json, yaml, parquet
* знание OLTP, OLAP, ACID, Теорема CAP
* понимание процессов ETL, ELT
* знание инструментов для организации и автоматизации работы: IDE, Git, Jira, Confluence.
Будет плюсом:
* навыки работы с CI/CD
* знание bash: базовые команды для работы с файлами и процессами, знаете как происходит процесс подключения к нодам - нужно для работы на кластере
* представление о монолитных и распределенных системах: знаете принципы их работы и отличия, цели применения
* навыки работы с генеративными AI-моделями.
Условия
* комфортный современный офис рядом с м. Кутузовская, формат работы - **офис**
* **оформление на декретную ставку**
* 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
* подписка Прайм с возможностью совместного использования на трёх близких
* 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.
THE ROLE
We're looking for an Engineering Manager to lead part of our Inference Performance team. This team makes the world's most demanding AI workloads run faster and more efficiently on GPUs. You'll manage and grow a team of inference performance engineers working across the inference engine and runtime: kernels, scheduling, batching, KV-cache management, speculative decoding and prefill/decode disaggregation. This is a hands-on technical leadership role. You'll set direction, unblock hard problems and earn the team's trust by going deep on GPU performance, while also hiring, developing and supporting the people doing the work. Your team's output directly affects how fast our customers' models run and how efficiently we serve them. The team is scaling quickly, so you'll help shape how it is structured as it grows.
EXAMPLE INITIATIVES
Your team will work on these types of projects as part of our Inference Runtime team:
- Agentic inference optimization: 50-90% faster engines https://www.baseten.co/blog/agentic-inference-optimization-faster-than-sota/
- Agentic Kernels in Production https://www.baseten.co/blog/agentic-kernels-in-production/
- Live draft model training for speculative decoding https://www.baseten.co/blog/live-draft-model-training-for-speculative-decoding/
- The Baseten Inference Stack https://www.baseten.co/resources/guide/the-baseten-inference-stack/
RESPONSIBILITIES
- Lead, mentor and grow a team of inference performance engineers through regular 1:1s, clear feedback, career development and performance reviews.
- Hire top GPU and inference engineering talent, and build a strong, collaborative team culture as the runtime team scales.
- Own the technical roadmap and execution for runtime performance work, balancing customer needs, new model launches and long-term platform investments.
- Stay close to the technical work. Review designs, guide profiling and optimization efforts, and help the team reason from first principles about where time and memory go.
- Drive the productionization of inference techniques such as quantization, speculative decoding, KV-cache reuse, chunked prefill and custom scheduling.
- Turn performance wins into measurable outcomes: tokens per GPU-hour, utilization, latency and cost.
- Help the team bring up and tune new model architectures on new hardware quickly, often in the same week they're released.
- Partner with Infrastructure, Inference Platform, Kernels, Model APIs and customer-facing teams to set priorities, coordinate launches and ship wins.
- Set high standards for engineering quality, benchmarking, operational excellence and incident response.
REQUIREMENTS
- Bachelor's, Master's, or Ph.D. degree in Computer Science, Engineering, Mathematics, or a related field.
- Experience managing engineers, including hiring, mentoring, giving feedback and running performance reviews.
- Experience leading or closely supporting GPU optimization teams in training, inference or recommendation systems.
- Strong technical depth in GPU workloads, with a solid understanding of GPU architecture and performance tradeoffs.
- Familiarity with ML libraries such as PyTorch, TensorRT or TensorRT-LLM.
- A track record of driving roadmaps and shipping complex technical projects with a team.
- Clear written and verbal communication, including the ability to align stakeholders across teams.
NICE TO HAVE
- Familiarity with inference engines such as vLLM, SGLang or TensorRT-LLM.
- Experience with LLM optimization techniques (e.g., quantization, speculative decoding, continuous batching) in production.
- Experience with GPU kernels (CUDA, Triton, CUTLASS, or similar).
- Experience scaling a team through rapid growth at a startup.
- A background as a hands-on performance or systems engineer before moving into management.
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: Dallas, Texas, United States
BRPH is a technically focused, creative architecture, engineering, and construction company with over six decades of expertise in helping mission-driven clients in the aerospace, defense, manufacturing, commercial, education, entertainment, hospitality, and federal markets identify gaps in their program delivery and develop innovative solutions to their most challenging problems across the U.S. and around the world. Consistently ranked among the nation’s top firms, we take pride in solving complex challenges with forward-thinking solutions.
As an employee-owned company, BRPH is known for its collaborative culture, technical excellence, and client-focused approach, bringing together multidisciplinary teams to design and build environments that are functional, efficient, and future-ready.
SUMMARY
:
The Senior Construction Project Manager is responsible for leading the successful execution of assigned projects and the achievement of the project’s scope, schedule, and financial requirements and metrics. Their primary responsibilities are to build and lead the project team and to plan, direct, coordinate, and budget activities concerned with specific construction projects. The Senior Construction Project Manager is also responsible for ensuring compliance with corporate Health, Safety, and Environmental (HSE) and Construction Quality Control policy for all assigned projects.
The Senior Construction Project Manager shall have experience managing at-risk construction projects ranging from $15M to $50M or more in size. Willingness to travel for project assignments is a plus. Experience in aerospace, defense, and manufacturing design and construction a plus.
ESSENTIAL DUTIES AND RESPONSIBILITIES:
• Lead construction and design/build proposals to include planning, estimating, scheduling, subcontracting, detailing technical and management approach, past performance, and HSE and quality compliance.
• Build client relationships, expand opportunities with new and existing clients, and develop trusted advisor position to grow opportunities.
• Lead opportunities with existing clients and oversee pre-construction activities to procure new projects.
• Prepare baseline performance plans and develop metrics for assigned projects to include baseline costs and planned gross margin, baseline schedule and milestone dates, and projected cash flow.
• Financial performance and reporting of assigned projects including monthly forecasting, managing commitments, and monitoring costs incurred. Responsible for delivering the project for as-bid gross profit or more.
• Safety performance to ensure compliance with corporate policy and site-specific health and safety plan, incident reporting, and implementing corrective actions as necessary. Responsible for endorsing a zero-tolerance environment on site.
• Quality performance to ensure compliance with BRPH CS Construction Quality Management policy, roles and responsibilities are understood, contract documents are adhered to, and the delivered project meets the contractual and design requirements.
• Client Management to ensure the owner is always informed and current on the project status and open issues are resolved promptly. Responsible for owner satisfaction with product leading to repeat work and exceptional project references.
• Lead the project team with the pre-qualification, selection, and contracting of design professionals and directing the A/E firms in the design process, and monitor their progress in terms of design appropriateness, design to budgets, and schedule to meet the needs of the project.
• For BRPH integrated services projects lead the collaboration and planning efforts with BRPH AE and provide guidance and leadership throughout the design process to ensure construction budgets are met and the design achieves design to cost requirements.
• Lead the project team with the pre-qualification, selection, and subcontracting of construction trade subcontractors and with the procurement of vendor equipment as necessary.
• Lead the development and implementation of a project risk register and change order log to identify, track, and mitigate potential risks to the successful completion of the project.
• Direct the team to obtain the necessary permits, environmental approvals, and licenses necessary to construct the projects.
• Lead, mentor, and manage members of the project team on an ongoing basis. Proactively facilitate in resolving conflicts within the project team.
• Lead and endorse a partnering environment with Owners, supervisory personnel, contractors, and design professionals to discuss and resolve matters such as work procedures, RFIs, change control and management, and any issues that may come upon the projects.
.
SPECIALTY KNOWLEDGE/EXPERIENCE:
Knowledge of heavy industrial structural modifications, including high-capacity overhead crane rail installations and high-tolerance floor alignments.
Experience managing complex rigging and heavy-lift operations in vertical integration environments near high-value flight hardware.
Understanding of the "Assured Access to Space" (AATS) security umbrella, including the construction and management of SCIFs (Sensitive Compartmented Information Facilities) per ICD 705 standards.
Experience navigating government site logistics, including personnel badging, secure communications infrastructure, and mission-critical "Stop Work" launch window protocols.
Well versed in corrosion control requirements for C5-M coastal environments, specifically NACE/AMPP standards for high-performance coating systems.
Knowledge of specialized materials and safety requirements for working near cryogenic propellant systems (LOX/LH2), including oxygen-compatible materials and non-sparking protocols.
Management of concrete restoration and durability projects, including the application of cathodic protection in highly corrosive salt-air environments.
Ability to coordinate with government agencies (USSF, NASA) and commercial launch providers to ensure mission assurance and site safety compliance.
EDUCATION and/or EXPERIENCE:
• Bachelor’s degree in construction management, engineering, or architecture.
• Minimum of 15 years experience, with 10 years or more as a Project Manager or Construction Project Manager.
• Strong leadership skills that demonstrate the ability to lead a team of individuals to accomplish the project vision, goals, and objectives.
• Strong communication skills, and the ability to work well with clients.
• Knowledge of the built environment infrastructure, including buildings and infrastructure.
• Experience as a Construction Project Manager, which should encompass all aspects of a project or program life cycle, from planning and design management, procurement, construction management, commissioning, and closeout.
• Understanding of critical path method scheduling, and ability to direct a planner/scheduler in constructing a CPM schedule.
• Understanding of Earned Value management procedures.
• Well versed in managing cash flows, and budgets.
• Management of Project Controls (Cost, schedule, budget, procurement, document control).
• Experience in managing general contractors and trade subcontractors.
• Certified Construction Manager (CCM) from CMAA is a plus.
• A certificate as a Project Management Professional (PMP) is a plus.
PHYSICAL REQUIREMENTS:
• Ability to navigate and move around the construction site, which may involve walking, climbing ladders and scaffolding, and standing for extended periods on uneven surfaces.
• Ability to lift to 50 pounds.
• Ability to handle tools, equipment, and perform tasks that require coordination and manual skills.
• Manual dexterity, hearing, mental acuity, typing, reaching, repetitive motion, speaking, talking, and visual acuity.
• Ability to operate a motor vehicle.
• Ability to stand and sit for periods longer than 30 minutes but not to exceed two hours consecutively.
• Ability to print and draw letters, numbers, words, characters, and symbols that are legible and understood by others.
• Ability to learn complex tasks and remember how to complete tasks without assistance once trained.
• Ability to control behavior when encountering stressful situations or short deadlines and to maintain a high level of concentration.
• Quick thinking and decision-making ability to address issues and challenges that may arise during construction.
• Endurance to work in various weather conditions and handle the physical demands of supervising a construction project.
• Strict adherence to safety protocols and the ability to enforce safety standards on the construction site.
• Adherence to personal protective equipment (PPE) requirements when on the construction site, such as hard hats, safety vests, and steel-toed boots.
Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
This job description may be changed to include new responsibilities and tasks or change existing ones as management deems necessary.
EOE, including Disability/Vets
Location: Renton, Washington, 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.
At Wizards of the Coast, we connect people around the world through play and imagination. From our genre-defining games like Magic: The Gathering® and Dungeons & Dragons® to our growing multiverse, we continue to innovate and build new ways to foster friendship and connection. That’s where you come in!
We’re looking for a Creative Lead to join our Digital Ventures team, reporting to the Head of Franchise Development. You’ll guide the creative direction of a slate of video games based on Wizards IP, built with external developers across mobile and PC/console. The role covers a range of creative and management skills: strategy development, project leadership through external partners, incubation and prototyping.
Because this work spans several projects at once, it depends on relationships: earning the trust of partner studios and Wizards teams and leading with integrity on both sides. You’ll bring a clear point of view on the IP and the quality bar and share it in a way partners can build on.
This is a hybrid role requiring three days a week in our Renton, WA office, with occasional travel.
What You’ll Do:
Set and maintain the creative vision for each game, grounded in what players love about our brands, from early concept through launch.
Lead and manage projects through multidisciplinary partner teams across game design, narrative, UX, art and audio, with clear feedback, reviews, and approvals.
Advocate for quality by setting creative intent and world-class standards for each project.
Incubate and prototype new play experiences with our IP, and champion them inside Wizards, from early concepts and pitches through development.
Translate franchise direction into materials partners can build from, such as aspirational targets, kickoff guides, guardrails and franchise bibles.
Help develop strategy for Wizards IP in games, including which opportunities to pursue, which partners to build them with, and the frameworks Wizards uses to evaluate and support them.
What You’ll Bring:
5+ years of director-level creative leadership (creative, design, UX, or a similar role) working with internal and external partners to ship titles on mobile or PC/console.
A developer’s understanding of how games are made, from design methodology to craft, and the hands-on design, narrative or art skills to contribute directly when a project needs it.
A track record of managing projects through external developers and building strong relationships with them, adapting your direction across studios, cultures, time zones, and matrixed organizations.
Sharp judgment on authenticity and quality, and the ability to explain them clearly to partners and leaders.
A working knowledge of game industry trends, market analysis, and emerging technology (including AI).
Experience turning existing IP into new game concepts and familiarity with Magic: The Gathering, Dungeons & Dragons, or both.
Comfort moving between blue-sky concepting, incubation and prototyping, strategy and execution.
A self-directed multi-tasker with strong organizational skills and a healthy relationship with feedback.
Nice to have:
Experience on the licensor or publisher side of a game partnership.
Experience with live-service games.
A love of our fandoms and the communities around them.
Interest in using and learning AI tools like Claude.
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
$150,500
—
$235,200 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: Remote; London
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
As a Solutions Architect at Baseten you will partner closely with Sales and customers to translate business needs into technical solutions, run technical discovery, and guide repeatable deployments and proofs of value for customers. This role is a great fit for entrepreneurial, customer-facing technical professionals who want a front-row view into how modern companies adopt AI at scale, and who enjoy working across technical discovery, solution design, demos, deployment scoping, and hands-on customer implementations, in close partnership with Sales and Engineering.
RESPONSIBILITIES
- Partner with Sales on customer discovery calls (most often second calls, occasionally first calls for large accounts).
- Lead demos and technical scoping to align on success criteria, architecture, and deployment approach.
- Own benchmarking and repeatable deployments, including:
- Handling standard deployment patterns and configurations across many modalities – LLMs, embeddings, image and video generation, Voice AI, etc.
- Advising on tradeoffs like H100s vs B200s and latency-optimized vs throughput-optimized setups.
- Driving consistent “playbook” style deployments for common models and use cases.
- Become a power user of different runtimes such as vLLM, SGLang, and TRT-LLM and all the common configurations and tradeoffs between them
- Drive POC and project execution, including:
- Scoping POCs and keeping stakeholders aligned on timeline, deliverables, and next steps.
- Acting as the “ringleader” or project manager for POCs.
- Pulling in Forward Deployed Engineering (FDE) support when deeper or more complex technical work is needed.
REQUIREMENTS
- AI/ML background and the ability to credibly discuss AI/ML topics with technical stakeholders.
- Strong customer-facing communication skills, including the ability to run structured discovery and clarify ambiguous requirements.
- Technical depth to scope solutions, without needing to write production code.
- Ability to script and prototype as needed, including comfort “vibe coding” to move quickly in technical workflows.
NICE TO HAVE
- Experience running or supporting benchmarks for ML inference deployments.
- Familiarity with infrastructure tradeoffs relevant to inference performance and cost (for example GPU selection and latency versus throughput tuning).
- Experience serving as a cross-functional technical lead for customer POCs, including coordination across Sales and Engineering.
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
УдалённоseniorГеография найма не уточнена
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leadRenton, Washington, United States; A track record of managing projects through external developers and building strong relationships with them, adapting your direction across studios, cultures, time zones, and matrixed organizations