Technical Project Manager, 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. 

• Partner closely with research scientists to define, maintain, and execute a machine learning research agenda, spanning exploratory research, experimentation, and applied development.
• Translate research goals and hypotheses into clear project plans, milestones, and success criteria while respecting the iterative nature of scientific work.
• Coordinate across multiple concurrent research efforts, balancing short-term experimentation with longer-term strategic initiatives.
• Support planning and execution of confidential research initiatives, ensuring appropriate handling of sensitive information and controlled communication.

• Own dynamic prioritization across research and ML engineering efforts, adjusting plans based on experimental results, shifting priorities, and resource constraints.
• Manage team capacity across scientists and ML engineers, ensuring realistic commitments, sustainable pace, and effective allocation of specialized skills.
• Identify and resolve dependencies across research, engineering, data, and infrastructure teams.
• Proactively unblock ML engineers and researchers by removing operational, process, or coordination barriers—often within constrained or confidential contexts.

• Facilitate planning, check-ins, reviews, and retrospectives tailored to research-driven workflows, not traditional product-only delivery.
• Apply Agile principles pragmatically to research environments, adapting processes to support experimentation, learning, and iteration.
• Establish lightweight execution rhythms that provide visibility while respecting confidentiality boundaries.

• Serve as a central coordination point between research, ML engineering, product, and leadership stakeholders.
• Communicate progress, learnings, risks, and trade-offs with clarity, including when outcomes are uncertain or exploratory.
• Produce structured documentation (e.g., research roadmaps, execution plans, dependency maps) with appropriate controls for confidential content.
• Exercise sound judgment regarding information sharing, ensuring sensitive details are disclosed only to appropriate audiences.

• Experience working on confidential, proprietary, or strategically sensitive initiatives.
• Experience supporting machine learning research or applied research teams.
• Familiarity with ML experimentation cycles, evaluation methodologies, and research-to-production transitions.
• Comfort operating in environments where progress is measured by learning, signal, and insight rather than shipped features alone.

• Research scientists and ML engineers are able to focus on high-impact work with minimal operational friction.
• Confidential research initiatives progress efficiently while maintaining appropriate information controls.
• Research efforts are well-prioritized, resourced appropriately, and aligned to strategic objectives.
• Leadership has clear visibility into progress and trade-offs without compromising sensitive details.
• Execution rigor improves over time without constraining scientific creativity or experimentation.

• 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 $225,000 - $275,000 inclusive of base salary and discretionary base salary and discretionary target bonus. The expected base salary for this role is between 75% - 85% 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