Senior Product Engineer, AIA Labs
About The Position
AIA Labs is an in-house venture at Bridgewater Associates 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. Our team is led by Managing Chief Investment Officer Greg Jensen and Chief Scientist Dr. Jasjeet Sekhon. 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.
Requirements
- 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
- 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
- Able to design and implement enterprise-grade systems
- Bias towards simplicity and quality
- Comfortable with experimentation and rapid iteration
- 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
- Thrives in dynamic, high-velocity environments
- Bias toward action and shipping
- Comfortable operating with ambiguity and shaping direction
- Sets technical direction, not just execution
- Raises the bar for engineering quality and product thinking
- Operates with ownership mindset and long-term thinking
Responsibilities
- 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
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
