Technical Project Manager, AIA Labs

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Verification

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Salary

$225K-$275K not verified - source not recorded; timestamp not recorded

401(k) match

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Market context

U.S. role benchmark (BLS OEWS)

$116,543 U.S. median for this role

Projected growth (BLS Employment Projections)

+9.8% - Much faster than average

115% above the BLS role benchmark for software engineering aggregate.

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Schedule

Shift type

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Weekend work

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Application

Cover letter

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Assessment

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Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Technical Project Manager, AIA Labs New York City 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. Role Overview We are seeking a Technical Project Manager to partner closely with machine learning researchers and engineers to drive execution across a portfolio of research and applied ML initiatives. This role sits at the intersection of research strategy, technical execution, and delivery rigor, enabling scientists and ML engineers to focus on innovation while ensuring work progresses efficiently toward meaningful outcomes. You will work side-by-side with research scientists to shape and run a research agenda, translate exploratory work into structured plans, dynamically prioritize initiatives, and manage capacity across highly specialized teams. Many initiatives in this space are highly confidential and strategically sensitive, requiring discretion, sound judgment, and the ability to operate effectively with limited information sharing. Success in this role requires comfort operating in ambiguous,

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