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Engineering Manager, AI Enabled Investment Platforms

Оценка ИИ

Исключительное предложение с точки зрения компенсации (до $1.8M) и влияния на продукт. Работа в одном из самых престижных хедж-фондов мира над передовыми AI-технологиями делает эту вакансию топовой на рынке.


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Сложность вакансии

ЛегкоСложно
Оценка ИИ

Чрезвычайно высокая сложность из-за сочетания требований к глубокой технической экспертизе в AI/ML, опыта управления в высоконагруженных финансовых средах и специфической корпоративной культуры Bridgewater. Вакансия подразумевает лидерство на стыке науки о данных и системной архитектуры.

Анализ зарплаты

Медиана450 000 $
Рынок350 000 $ – 650 000 $
Оценка ИИ

Предлагаемая компенсация в $1.2M - $1.8M значительно превышает средние рыночные показатели даже для уровня Engineering Manager в Нью-Йорке, что отражает уникальность роли и статус компании. Это уровень вознаграждения, характерный для позиций уровня Director или VP в крупнейших технологических компаниях (Big Tech).

Сопроводительное письмо

I am writing to express my strong interest in the Engineering Manager position for AI-Enabled Investment Platforms at Bridgewater Associates. With over a decade of experience building complex production systems and a deep passion for integrating AI into the software development lifecycle, I am drawn to Bridgewater’s unique culture of radical transparency and its commitment to excellence. My background in leading high-performing teams to deliver scalable, data-driven platforms aligns perfectly with your mission to translate complex investment logic into reliable, high-impact technology.

In my previous roles, I have successfully navigated the intersection of quantitative research and robust engineering, much like the environment at Bridgewater. I am particularly excited by your focus on 'agentic workflows' and AI-assisted development, as I believe these are the keys to the next leap in developer productivity. I am eager to bring my architectural judgment and leadership experience to help evolve your investment platforms and foster a meritocratic environment where the best ideas win.

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Описание вакансии

About Bridgewater  

Bridgewater Associates is a premier asset management firm, focused on delivering unique insight and partnership for the most sophisticated global institutional investors.  

Our investment process is driven by a tireless pursuit to understand how the world’s markets and economies work — using cutting-edge technology to validate and execute on timeless and universal investment principles.  

Founded in 1975, we are a community of independent thinkers who share a commitment to excellence. By fostering a culture of openness, transparency, and inclusion, we strive to unlock the most complex questions in investment strategy, management, and corporate culture.  

Explore more information about Bridgewater on our website here.  

Our Culture  

Our culture is anchored in excellence, meaning constant improvement, and it is deeply tied to our mission. Because markets are objective, competitive, and getting smarter everyday, we need to keep rapidly improving to have any chance of beating them. Truth is our most essential tool for engaging with the markets and constantly improving because once you know what's true about your problems and opportunities, you can determine how to get better. Valuing truth means being transparent about your decision-making and mistakes, giving and receiving feedback with humility, and fighting for the best answers over hierarchy, ego, or self-interest. Operating this way is hard – it's only possible because we build meaning in our work and relationships. This meaning comes from the audacity of the mission, and the joy of working alongside people who make you a better version of yourself. The culture, like Bridgewater itself, is always evolving. In 1997 our founder Ray Dalio wrote down his lessons, starting with a Philosophy Statementwhich remains our foundation. This later evolved into a set of 300+ Principles. In 2022, when Ray transitioned the company, we re-underwrote several of those principles and evolved others, with a specific focus on Meritocracy. Today the culture sits, alongside our people, as our most important edge. When we get it right, it’s the engine that powers everything else. 

Engineering Manager – AI-Enabled Investment Platforms

Overview of the Role

The Engineering Manager will play a critical leadership role in the design, build, and evolution of Bridgewater Associates’ AI-Enabled Investment Platforms—a set of tightly integrated platforms through which investment logic, quantitative research, and AI capabilities are expressed, scaled, and operated.

This is a senior, hands-on leadership role for an experienced technologist who combines strong architectural judgment, modern engineering instincts, and people leadership. You will own multiple core platforms end-to-end, lead high-performing engineering teams, and partner deeply with investors, researchers, and scientists to translate complex ideas into reliable, high-impact systems.

Success in this role requires comfort operating in a modern engineering paradigm: shaping system design, leveraging advanced tooling and agentic workflows, providing context and direction to increasingly automated systems, and ensuring teams consistently ship high-quality outcomes—rather than optimizing for individual code output.

You May Be a Good Fit If You…

  • Are excited about AI-assisted development as a way to meaningfully amplify developer productivity, creativity, and leverage—while recognizing the continued importance of human judgment, taste, and ingenuity
  • Spend time actively refining, customizing, and evolving your AI workflows, including how tools, agents, and automation are orchestrated to achieve better outcomes
  • Enjoy thinking about how emerging capabilities change how software is designed, built, and operated—not just what is built

Key Responsibilities

Platform Design & Technical Ownership

  • Own the architecture, design, and ongoing evolution of a portfolio of AI-Enabled Investment Platforms, ensuring they scale with Bridgewater’s investment and research ambitions
  • Design and build systems using modern development approaches, including advanced tooling, automation, orchestration, and AI-assisted workflows
  • Make and steward critical architectural decisions across platforms, balancing speed, correctness, resilience, and long-term adaptability
  • Drive platform modernization, performance improvements, and disciplined reduction of technical debt across the platform ecosystem
  • Partner closely with investors, researchers, and scientists to deeply understand workflows and express them in durable, extensible technology
  • Set and uphold high standards for reliability, testing, observability, security, and operational excellence

Leadership & Team Development

  • Lead, mentor, and develop senior engineers and technical leads, creating an environment of high ownership, intellectual rigor, and continuous improvement
  • Actively shape how teams work, including how they reason about quality, correctness, and delivery in complex systems
  • Bring a clear point of view on how high-performing teams should design, build, and operate production platforms
  • Set expectations, provide regular feedback, and coach individuals toward sustained growth and impact
  • Build and scale teams through hiring, onboarding, and ongoing talent development
  • Foster strong collaboration across technology, research, and investment groups

Engineering Excellence & Delivery

  • Establish and evolve engineering practices that enable teams to consistently ship high-quality systems
  • Balance short-term delivery pressure with long-term platform health, resilience, and sustainability
  • Drive clarity around technical roadmaps, dependencies, risks, and trade-offs across the platform portfolio
  • Champion strong documentation, shared context, and operational transparency

Strategy & Stakeholder Partnership

  • Partner with senior technology and business leaders to shape multi-platform strategy and execution
  • Communicate complex technical ideas clearly to both technical and non-technical audiences
  • Influence technology direction through sound judgment, principled reasoning, and hands-on engagement

Required Qualifications

  • 10+ years of experience building and operating complex production systems
  • 4+ years in a senior technical leadership role (e.g., technical lead, engineering manager, senior technical manager)
  • Proven experience owning and evolving large-scale platforms, ideally in investment, financial, data, or AI-driven environments
  • Strong system design and architectural skills across distributed systems, data platforms, and AI-enabled systems
  • Demonstrated ability to lead teams while remaining deeply engaged in technical decisions
  • Experience working closely with investors, researchers, or scientists on demanding, high-stakes problems
  • Strong judgment, problem-solving ability, and attention to detail

Preferred Qualifications

  • Experience building platforms that support quantitative research, investment decision-making, or advanced analytics
  • Hands-on exposure to AI/ML systems, data pipelines, or model-driven platforms in production
  • Experience operating in high-performance, intellectually demanding environments
  • Familiarity with cloud-native architectures and modern development practices

Physical Requirements

  • The anticipated onsite requirement for this role is 4 days onsite, which will be roughly split into 2 days per week at our Westport, CT campus, and 2 days per week at our New York City office location.

 Compensation Band

  • The wage range for this role is $1.2M - $1.8M (with upside) inclusive of base salary, discretionary bonus and Long Term Incentive. The expected base salary for this role is between 35% - 55% 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 provide immigration sponsorship for this position. 

Bridgewater Associates, LP is an Equal Opportunity Employer

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Навыки

  • Quantitative Research
  • Machine Learning
  • Software Architecture
  • System Design
  • Distributed Systems
  • AI
  • Data Pipelines
  • Engineering Management
  • Cloud Native

Возможные вопросы на собеседовании

Bridgewater известна своей культурой радикальной прозрачности. Важно понять, как кандидат справляется с прямой критикой.

Расскажите о случае, когда ваше техническое решение было публично оспорено. Как вы реагировали и как пришли к итоговому результату?

Роль требует внедрения AI в процессы разработки. Нужно оценить практический опыт кандидата в этой области.

Как вы планируете интегрировать агентные рабочие процессы (agentic workflows) в повседневную практику инженерной команды для повышения производительности?

Позиция подразумевает работу с исследователями и инвесторами. Проверка навыка перевода бизнес-задач в технические требования.

Опишите ваш опыт взаимодействия с количественными исследователями (quants). Как вы балансируете их потребность в гибкости с требованиями к стабильности продакшн-систем?

Вакансия предполагает владение портфелем платформ. Оценка навыков долгосрочного планирования.

Как вы определяете приоритеты между устранением технического долга и внедрением новых AI-функций в масштабе всей платформы?

Проверка архитектурного мышления в контексте распределенных систем.

С какими самыми сложными проблемами масштабируемости вы сталкивались при работе с инвестиционными данными и как вы их решили?

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bridgewater89
Страна
США
Зарплата
1 200 000 $ – 1 800 000 $