Technical Project Manager, AI Product Enablement

Bridgewater Associates•Westport, CT

23h•Hybrid

About The Position

We are seeking a highly capable Technical Project Manager to lead complex, cross-functional initiatives with a strong emphasis on AI-enabled products, platforms, and workflows. In this role, you will partner closely with engineering, data science, and business stakeholders to deliver high-impact solutions across the full software development lifecycle. You will play a critical role in translating technical and business objectives into executable plans, driving delivery rigor, and ensuring teams are unblocked, aligned, and focused on outcomes. This role requires comfort operating in fast-moving, technically rigorous environments, particularly those involving AI/ML systems, data pipelines, and AI-assisted development practices.

Requirements

5+ years of experience managing technical projects across the software development lifecycle (SDLC) in a technically rigorous environment.
Demonstrated end-to-end project ownership, with a track record of driving initiatives through to realized business value.
Strong, pragmatic knowledge of Agile and Scrum methodologies, with the ability to tailor approaches to different delivery contexts.
Proven ability to drive continuous improvement in processes, teams, and organizational execution.
Strong understanding of software development practices, enabling effective partnership with engineers and product managers while ensuring quality and delivery commitments.
Exceptional verbal and written communication skills, paired with strong organizational and planning capabilities.
Familiarity with Scrum or Agile frameworks and ceremonies.

Nice To Haves

Experience delivering AI/ML or data-intensive projects in production environments.
Exposure to MLOps, model lifecycle management, or AI platform tooling.
Experience working with or supporting teams using Generative AI, automation, or AI-assisted development tools.
Comfort operating in ambiguous problem spaces where requirements evolve alongside experimentation and learning.

Responsibilities

Partner and collaborate with engineers, data scientists, and product managers to deeply understand goals, technical constraints, dependencies, and delivery risks.
Own end-to-end delivery of technical initiatives, from discovery and planning through execution, release, and realization of business value.
Design, maintain, and communicate project plans, roadmaps, milestones, and delivery metrics across the full lifecycle.
Anticipate risks and dependencies, proactively removing impediments and addressing potential blockers before they impact delivery.
Facilitate Agile ceremonies including daily standups, sprint planning, reviews, and retrospectives.
Guide teams in applying Agile and Scrum principles pragmatically, adapting frameworks to fit the specific needs of AI and data-driven work.
Drive continuous improvement across team processes, delivery practices, and organizational workflows.
Support delivery of AI/ML initiatives, including model development, experimentation, deployment, monitoring, and iteration.
Work effectively with teams building and maintaining: Machine learning models and pipelines
Build and Manage AI Workflows
Generative AI applications (e.g., LLM-powered tools, copilots, automation)
Data platforms, feature stores, and inference services
Leverage AI-enabled tooling (e.g., AI-assisted project tracking, documentation generation, delivery forecasting, or engineering productivity tools) to improve execution efficiency and visibility.
Translate complex technical concepts into clear, actionable plans for both technical and non-technical stakeholders.
Serve as a central point of coordination across engineering, product, design, data, and business teams.
Produce clear, structured documentation including project plans, delivery updates, decision logs, and retrospectives.
Communicate progress, risks, and trade-offs with clarity, precision, and confidence.