Senior Product Engineer, AIA Labs

Reposted 17 Days Ago
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New York City, NY, USA
In-Office
1M-2M Annually
Senior level
Financial Services
The Role
The Senior Product Engineer will enhance AI platforms, translate business needs into technical solutions, lead end-to-end development, and provide mentorship across teams while delivering comprehensive systems.
Summary Generated by Built In
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 we do not provide immigration sponsorship for this position.  

Bridgewater Associates, LP is an Equal Opportunity Employer   

Top Skills

Agentic Development Tooling
AI
Machine Learning
Optimization
Statistics
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The Company
HQ: Westport, CT
1,596 Employees
Year Founded: 1975

What We Do

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 for 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.

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