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- США
- Зарплата
- 1 000 000 $ – 1 500 000 $
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Senior Product Engineer, AIA Labs
Это исключительная вакансия с редким сочетанием экстремально высокой компенсации ($1M+), работы над передовыми ИИ-технологиями и престижа компании Bridgewater Associates. Идеально для топовых инженеров, ищущих максимальный рыночный рычаг.
Сложность вакансии
Чрезвычайно высокая сложность из-за требований к уровню L7/L8, необходимости глубокой экспертизы в агентных ИИ-системах и работы в одном из самых требовательных хедж-фондов мира. Ожидается сочетание навыков элитного инженера, продуктового визионера и лидера.
Анализ зарплаты
Предложенная компенсация ($1M - $1.5M) значительно превышает средние рыночные показатели даже для уровня Senior/Staff в Нью-Йорке, что характерно для топовых хедж-фондов и специализированных ИИ-лабораторий. Это верхний дециль рынка труда в сфере технологий.
Сопроводительное письмо
I am writing to express my strong interest in the Senior Product Engineer position at AIA Labs. With over a decade of experience in building sophisticated engineering systems and a deep focus on AI-native architectures, I am drawn to Bridgewater’s mission of creating an 'artificial investor.' My background in developing agentic workflows and scaling research platforms aligns perfectly with your goal of accelerating systematic investment research through state-of-the-art AI.
Throughout my career, I have maintained an AI-first mindset, moving beyond simple integrations to architecting systems where LLMs and autonomous agents are core components. I have a proven track record of collaborating with research scientists to translate complex domain needs into intuitive, high-leverage products. I am particularly excited about the opportunity to lead at the L7/L8 level, setting the technical direction for agentic development tooling within such a prestigious and intellectually vibrant environment as AIA Labs.
Составьте идеальное письмо к вакансии с ИИ-агентом

Откликнитесь в bridgewater89 уже сейчас
Присоединяйтесь к элитному подразделению AIA Labs и создавайте будущее ИИ-инвестиций с компенсацией до $1.5 млн.
Описание вакансии
About AIA Labs
AIA Labs is an in-house venture at Bridgewater Associates, led by Managing Chief Investment Officer Greg Jensen, focused on using the state-of-the-art in Artificial Intelligence (AI) to generate returns in markets. We manage a dedicated investment strategy on behalf of the world’s most sophisticated pools of capital and employ the latest tools in AI, machine learning, statistics, and optimization. Our work is organized around a single mission: to create a general-purpose intelligence (an “artificial investor”) capable of performing systematic investment research. We maintain extensive ties to broader research community and cultivate a collegial, intellectually vibrant work environment.
We maintain extensive ties to the broader research community and cultivate a collegial, intellectually vibrant work environment.
Senior Product Engineer, AIA Labs
We are seeking a Senior Product Engineer (L7/L8) to evolve and scale our AI platform to accelerate research and empower scientists and investors to do their best work. This is a highly cross-functional, high-impact role for someone who deeply understands business needs, has strong product and design instincts, and can move seamlessly from concept to shipped code.
You will enhance our existing AI research platform by adding new components, expanding capabilities, and architecting systems that make research workflows faster, smarter, and more intuitive. We expect you to lead in use of agentic development tooling and design systems that enable our scientists and investors to best utilize those same agentic capabilities. This role requires an AI-first mindset, technical excellence, product thinking, and natural leadership.
What You'll Do
- Enhance and extend the current AI platform to better support research and scientific workflows
- Translate business and scientific needs into technical architecture and product solutions
- Lead end-to-end capability development: concept, design, implementation, iteration, and deployment
- Architect scalable AI-native systems with a focus on integration with agentic development tooling
- Partner closely with scientists, investors, product leaders, and engineering teams
- Provide technical leadership, mentorship, and direction across teams
- Move quickly — prototype, validate, iterate — without sacrificing quality
Who You Are
AI-First Builder
- Deep understanding of modern AI systems (LLMs, agents, tool use, harnesses, orchestration, etc.)
- At the edge of agentic development practices and supporting tooling
- Understands how to design products around AI capabilities rather than bolting AI on
Strong Engineer
- Able to design and implement enterprise-grade systems
- Bias towards simplicity and quality
- Comfortable with experimentation and rapid iteration
Product-Oriented Thinker
- Understands business needs and can translate them into technical solutions
- Strong design sense — cares about usability, workflows, and user experience
- Thinks in terms of leverage, impact, and adoption
Fast-Paced & Energetic
- Thrives in dynamic, high-velocity environments
- Bias toward action and shipping
- Comfortable operating with ambiguity and shaping direction
Leader at L7/L8 Level
- Sets technical direction, not just execution
- Raises the bar for engineering quality and product thinking
- Operates with ownership mindset and long-term thinking
Required Qualifications
- 7–12+ years of experience in engineering, AI systems, or product engineering roles
- Proven experience building AI-driven platforms or products
- Strong understanding of machine learning systems
- Experience working closely with domain experts (scientists, researchers, analysts)
- Track record of delivering comprehensive systems end-to-end
Physical Requirements
- The anticipated onsite requirement for this role is 4 days per week at our New York City office location.
Compensation Band
- The wage range for this role is $1M - $1.5M (with Upside) inclusive of base salary, discretionary target bonus and Long Term Incentive. The expected base salary for this role is between 40-60% of this wage range.
One of our core priorities at Bridgewater is to enable our employees to build a great life and career, and we believe our benefits are an important extension of that philosophy. As such, currently Bridgewater offers a competitive suite of benefits. Explore more information about Bridgewater’s benefits on our website here.
Bridgewater reserves the right to change its current benefits program at any time, in a manner that is consistent with applicable federal and state regulations.
This job description is not a contract and confers no contractual rights, privileges, or benefits on any applicant or potential applicant. Bridgewater has the right to change any and all terms of this job description, including, but not limited to, job responsibilities, qualifications and benefits. Nothing in this job description constitutes an offer or guarantee of employment. Please note that wedo notprovide immigration sponsorship for this position.
Bridgewater Associates, LP is an Equal Opportunity Employer
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Навыки
- Machine Learning
- LLM
- Statistics
- System Design
- Architecture
- Optimization
- AI Agents
- Product Engineering
Возможные вопросы на собеседовании
Роль требует глубокого понимания современных ИИ-агентов.
Расскажите о наиболее сложной архитектурной проблеме, с которой вы столкнулись при внедрении агентных систем (agentic workflows). Как вы обеспечили надежность и управляемость вывода LLM?
Вакансия подразумевает работу на стыке инженерии и науки.
Как вы подходите к трансляции абстрактных исследовательских гипотез ученых в конкретные продуктовые фичи и масштабируемую архитектуру?
Уровень L7/L8 предполагает стратегическое лидерство.
Опишите случай, когда вы изменили техническое направление развития продукта или платформы. Какими метриками или бизнес-аргументами вы руководствовались?
Bridgewater ценит культуру радикальной прозрачности и интеллектуальной дискуссии.
Как вы справляетесь с критикой ваших архитектурных решений в высококонкурентной интеллектуальной среде? Приведите пример.
Упоминается важность UX для исследователей.
Как спроектировать интерфейс для ИИ-платформы так, чтобы он не просто отображал данные, а реально ускорял когнитивный процесс исследователя-инвестора?
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