Product Manager, Enterprise Technology and AI Productivity

Bridgewater Associates•New York City, NY

4d•Hybrid

About The Position

Bridgewater Associates is seeking a Product Manager to join their Enterprise Technology team, focusing on AI Productivity. This role is crucial for enabling the firm's senior investors, researchers, and client service professionals with advanced tools, platforms, and AI-powered workflows. The Product Manager will be responsible for understanding user needs, developing product strategies, and driving the delivery of impactful solutions, particularly in rapidly evolving AI-driven environments. The position requires a blend of structured problem-solving skills and hands-on product delivery experience in complex technical settings, with a strong emphasis on practical AI tool usage.

Requirements

3–7 years of experience in product management, strategy consulting, or a problem-solving role in a technically complex environment.
Demonstrated track record of owning initiatives end-to-end and driving them to realized business value.
Actively building with AI tools outside of the day job (automating personal workflows, setting up agents, prototyping solutions, contributing to open-source projects).
Deep comfort working in AI/ML-adjacent spaces, understanding LLMs, embeddings, RAG architectures, AI agents, model selection trade-offs, and cost dynamics.
Comfort operating in environments with significant governance, compliance, or security constraints.
Ability to engage constructively with risk, legal, and security stakeholders and navigate policy discussions.
Strong communication skills and executive presence.
Ability to translate complex technical concepts into clear business narratives.
Ability to navigate ambiguity with composure.
Bias toward action and delivery, combined with strategic judgment.
Comfort making decisions with incomplete information and iterating rapidly.
Familiarity with software development lifecycles and Agile delivery practices.
Understanding of how technology gets built and ability to partner effectively with engineers.

Nice To Haves

Experience in financial services, asset management, or working with investment professionals.
Hands-on experience with AI-assisted development tools (e.g., Claude Code, GitHub Copilot, Cursor).
Experience building agents or automated workflows.
Experience prototyping internal tools using low-code/AI platforms.
Experience with vendor management and enterprise software evaluation, including navigating procurement, security reviews, and build-vs-buy decisions.
Experience with data platform tooling, search infrastructure (vector search, knowledge graphs), or enterprise content management systems.
Comfort operating in ambiguous problem spaces where requirements evolve alongside experimentation and learning.

Responsibilities

Own and drive execution across a portfolio of high-impact initiatives enabling investor and client service workflows.
Deeply understand how investors and client service professionals work, translating this understanding into product strategy.
Drive delivery of meaningful outcomes in ambiguous, fast-moving spaces where AI is reshaping workflows.
Be the primary product owner for major workstreams, with direct accountability to senior business stakeholders.
Own the product strategy for enabling investor workflows within the enterprise toolset, including secure app deployment, AI-assisted meeting synthesis and writing agents, and management system design.
Partner with senior investors to understand daily demands, observe workflows, and translate insights into a roadmap.
Evaluate, pilot, and make build-vs-buy recommendations for emerging AI capabilities (e.g., computer use agents, voice dictation, co-work/agentic tools).
Operationalize visibility into LLM usage, model costs, and annualized run rates.
Navigate and drive policy evolution within the firm’s security, compliance, and data classification frameworks.
Drive the strategy and delivery of a mobile experience for front office professionals.
Build alignment across product, engineering, security, and senior business leadership on mobile experience strategy.
Own the compute endpoint strategy for investors, including hardware refresh pilots, performance optimization, and change management.
Champion improvements to the internal developer and technologist experience.
Drive near-term execution on the firm’s media strategy: reliable transcripts, API access to meeting recordings, real-time post-processing, and enabling distribution of meeting artifacts.
Support Client Service transformation initiatives including Salesforce workflow optimization, AI-powered content generation, scalable email enablement, and evaluation of new CS-facing tools.
Build deep, trusted relationships with senior business stakeholders.
Maintain a living synthesis of the external landscape: vendor capabilities, emerging tools, competitor approaches.
Articulate the “Job to be Done” for every item on the roadmap, validating that features solve core workflow problems.
Maintain an evolving view of the Bridgewater Technology product suite and map customer demand to the right solutions.
Handle ambiguity of new technology integration with minimal escalation.
Track deployment and actual usage patterns, proving what is working and what is not.
Deliver measurable adoption metrics and iterate or kill initiatives based on evidence.
Actively integrate AI into day-to-day workflows and demonstrate its benefits.
Drive continuous improvement in team processes, delivery practices, and organizational workflows.
Lead meaningful process improvements that the team adopts.
Shift time from tactical execution to strategic discovery, synthesis, and stakeholder engagement.