Engineering Manager, AI Enabled Investment Platforms

Bridgewater AssociatesWestport, CT
1dHybrid

About The Position

The Engineering Manager will play a critical leadership role in the design, build, and evolution of Bridgewater Associates’ AI-Enabled Investment Platforms—a set of tightly integrated platforms through which investment logic, quantitative research, and AI capabilities are expressed, scaled, and operated. This is a senior, hands-on leadership role for an experienced technologist who combines strong architectural judgment, modern engineering instincts, and people leadership. You will own multiple core platforms end-to-end, lead high-performing engineering teams, and partner deeply with investors, researchers, and scientists to translate complex ideas into reliable, high-impact systems. Success in this role requires comfort operating in a modern engineering paradigm: shaping system design, leveraging advanced tooling and agentic workflows, providing context and direction to increasingly automated systems, and ensuring teams consistently ship high-quality outcomes—rather than optimizing for individual code output.

Requirements

  • 10+ years of experience building and operating complex production systems
  • 4+ years in a senior technical leadership role (e.g., technical lead, engineering manager, senior technical manager)
  • Proven experience owning and evolving large-scale platforms, ideally in investment, financial, data, or AI-driven environments
  • Strong system design and architectural skills across distributed systems, data platforms, and AI-enabled systems
  • Demonstrated ability to lead teams while remaining deeply engaged in technical decisions
  • Experience working closely with investors, researchers, or scientists on demanding, high-stakes problems
  • Strong judgment, problem-solving ability, and attention to detail

Nice To Haves

  • Experience building platforms that support quantitative research, investment decision-making, or advanced analytics
  • Hands-on exposure to AI/ML systems, data pipelines, or model-driven platforms in production
  • Experience operating in high-performance, intellectually demanding environments
  • Familiarity with cloud-native architectures and modern development practices

Responsibilities

  • Own the architecture, design, and ongoing evolution of a portfolio of AI-Enabled Investment Platforms, ensuring they scale with Bridgewater’s investment and research ambitions
  • Design and build systems using modern development approaches, including advanced tooling, automation, orchestration, and AI-assisted workflows
  • Make and steward critical architectural decisions across platforms, balancing speed, correctness, resilience, and long-term adaptability
  • Drive platform modernization, performance improvements, and disciplined reduction of technical debt across the platform ecosystem
  • Partner closely with investors, researchers, and scientists to deeply understand workflows and express them in durable, extensible technology
  • Set and uphold high standards for reliability, testing, observability, security, and operational excellence
  • Lead, mentor, and develop senior engineers and technical leads, creating an environment of high ownership, intellectual rigor, and continuous improvement
  • Actively shape how teams work, including how they reason about quality, correctness, and delivery in complex systems
  • Bring a clear point of view on how high-performing teams should design, build, and operate production platforms
  • Set expectations, provide regular feedback, and coach individuals toward sustained growth and impact
  • Build and scale teams through hiring, onboarding, and ongoing talent development
  • Foster strong collaboration across technology, research, and investment groups
  • Establish and evolve engineering practices that enable teams to consistently ship high-quality systems
  • Balance short-term delivery pressure with long-term platform health, resilience, and sustainability
  • Drive clarity around technical roadmaps, dependencies, risks, and trade-offs across the platform portfolio
  • Champion strong documentation, shared context, and operational transparency
  • Partner with senior technology and business leaders to shape multi-platform strategy and execution
  • Communicate complex technical ideas clearly to both technical and non-technical audiences
  • Influence technology direction through sound judgment, principled reasoning, and hands-on engagement
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