Product Manager, Enterprise Technology and AI Productivity
Listed on 2026-08-18
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Business
Business Analyst, Business Development
Product Manager, Enterprise Technology and AI Productivity
New York City
About BridgewaterBridgewater 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 CultureOur culture is anchored in excellence, meaning constant improvement, and it is deeply tied to our mission. Because markets are objective, competitive, and getting smarter every day, 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 Statement which 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.
Enterprise Technology sits at the intersection of Bridgewater’s technology platform and its front office investment organization — the Alpha Engine. Our team is responsible for enabling the firm’s most senior investors, researchers, and client service professionals with the tools, platforms, and AI‑powered workflows they need to generate returns and serve clients.
We are hiring a Product Manager to own and drive execution across a portfolio of high‑impact initiatives that directly enable investor and client service workflows. This is not a backlog‑grooming, ticket‑management role.
We need someone who can deeply understand how investors and client service professionals work, translate that understanding into product strategy, and drive delivery of meaningful outcomes — often in ambiguous, fast‑moving spaces where AI is reshaping workflows in real time. We value candidates who combine structured problem‑solving foundations (e.g., management consulting, strategy, or advisory roles) with hands‑on product delivery in technically complex environments — and who are actively building with AI tools themselves, not just evaluating them.
WhatYou’ll Own
You will be the primary product owner for several of the team’s major work streams, with direct accountability to senior business stakeholders across the Alpha Engine and Client Service departments. Your portfolio will span:
Investor Workflow Enablement- Own the product strategy for enabling investor workflows within the existing enterprise toolset — including secure app deployment on the firm’s internal platform, AI‑assisted meeting synthesis and writing agents, and management system design for the investment organization.
- Partner with senior investors to understand their daily demands, observe workflows directly (physically and virtually), and translate that into a living roadmap of hypotheses — not just feature requests.
- Evaluate,…
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