Oaktree Capital is transforming its technology organization from traditional application development to modern product engineering, fusing AI, automation, and exceptional engineering culture to deliver institutional-grade investment platforms at scale. The Senior Vice President of Product Engineering will architect and lead this transformation.
Requirements
- Deep understanding of modern software architectures (microservices, APIs, cloud-native, event-driven systems).
- Experience with enterprise data platforms, AI/ML integration, and automation frameworks.
- Familiarity with DevOps, cloud (Azure preferred), and modern front/back-end ecosystems (.NET, Python, React, etc.).
Responsibilities
- Define the next-generation product architecture and execute the firm’s engineering strategy, emphasizing AI-first, modular architecture, APIs, data interoperability, and cloud-native design.
- Build and scale an AI-augmented engineering ecosystem, leveraging generative AI and intelligent automation to accelerate development, testing, and documentation.
- Design a high-performance operating model where engineering, design, and AI converge to deliver measurable business impact.
- Partner with the Data Science and Platform teams to develop internal AI tooling, including developer copilots, code intelligence platforms, and ML-enabled observability.
- Establish engineering excellence standards (quality, observability, CI/CD, SRE practices, security-first design).
- Ensure reliable, secure, and timely delivery of technology initiatives across all asset classes and business units.
- Implement governance and metrics frameworks balancing innovation velocity with operational control.
Other
- 15+ years in software engineering, with at least 8 years in senior leadership roles (e.g., VP, SVP, Head of Engineering).
- Proven experience leading enterprise-scale product engineering organizations through transformation or modernization.
- Financial services or fintech background are strongly preferred; experience in investment management, alternative assets, or data-intensive platforms is a plus.
- Track record of engineering operating model design, org structure optimization, and measurable productivity gains.
- Strategic thinker with ability to translate technology direction into clear execution plans.
- Excellent communicator and change agent who can influence C-suite and technical teams alike.
- High EQ and people-first leader who fosters a culture of excellence, collaboration, and continuous learning.
