Senior Vice President, Product Engineering

Oaktree is a leader among global investment managers specializing in alternative investments, with over $200 billion in assets under management. The firm emphasizes an opportunistic, value-oriented and risk-controlled approach to investments in credit, private equity, real assets and listed equities. The firm has over 1400 employees and offices in 25 cities worldwide.

We are committed to cultivating an environment that is collaborative, curious, inclusive and honors diversity of thought. Providing training and career development opportunities and emphasizing strong support for our local communities through philanthropic initiatives are essential to our culture.

The Technology department at Oaktree Capital Management delivers secure, scalable, and innovative solutions that power the firm's global investment and business operations. Through strong partnerships across the company, we drive digital transformation, advance operational efficiency, and provide a trusted data foundation to create measurable impact for Oaktree's teams, clients, and partners
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Summary
Oaktree Capital is transforming its technology organization from traditional application development to modern product engineering — a shift that fuses 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. This leader will define how Oaktree builds, ships, and operates digital products — integrating AI tooling, developer experience, and cultural design ("vibe engineering") into a unified model of excellence. This role demands a visionary engineering executive who can balance strategic clarity with hands-on technical judgment, and who understands that culture, craft, and intelligence systems must evolve together.

Qualifications

• 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.
• 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.).

Success Measures

• Time-to-market reduction and improved product delivery velocity.
• Increased platform reuse and API adoption across business lines.
• Engineering engagement and retention metrics.
• Measurable business impact from AI and automation adoption.
• Improved system reliability, observability, and security posture.

Responsibilities:

• Lead the transition from project-based delivery to product-centric engineering, embedding agile delivery, DevSecOps, modern SDLC practices, and data-driven decisioning.
• 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.
• Step into product leadership when needed to shape product strategy, roadmap definition, and stakeholder alignment.
• Act as an executive sponsor for major product initiatives, driving both the technical and strategic dimensions of delivery.
• Translate complex business goals into actionable product requirements and engineering plans.
• Lead product-market fit assessments for new internal platforms or digital capabilities.
• Drive the cultural and structural shift toward a "product engineering mindset" empowering teams with ownership, accountability, and measurable business impact.
• Establish engineering excellence standards (quality, observability, CI/CD, SRE practices, security-first design).
• Mentor and elevate engineering leaders; attract and retain top talent across disciplines and geographies.
• Reimagine talent engagement: AI-driven upskilling pathways, hack weeks, internal showcases, and recognition programs.
• Build a culture of experimentation and curiosity, supported by structured feedback loops and transparent metrics.
• 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.
• Collaborate closely with business sponsors to translate strategic priorities into technical roadmaps.

Education

• Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, Statistics, or a related technical field — or equivalent professional experience.
• Ongoing learning or certification in modern software engineering, product leadership, or digital transformation desirable.

Base Salary Range
$225,000-$250,000

In addition to a competitive base salary, you will be eligible to receive discretionary bonus incentives, a comprehensive benefits package and a flexible work arrangement. The base salary offered will be commensurate with experience and/or qualifications, industry knowledge and expertise, as well as prior training and education.

Equal Opportunity Employment Policy
Oaktree is committed to diversity and to equal opportunity employment. Oaktree does not make employment decisions on the basis of race, creed, color, ethnicity, national origin, citizenship, religion, sex, sexual orientation, gender identity, gender expression, age, past or present physical or mental disability, HIV status, medical condition as defined by state law (genetic characteristics or cancer), pregnancy, childbirth and related medical conditions, veteran status, military service, marital status, familial status, genetic information, domestic violence victim status or any other classification protected by applicable federal, state and local laws and ordinances. This policy applies to hiring, placement, internal promotions, training, opportunities for advancement, recruitment advertising, transfers, demotions, layoffs, terminations, recruitment advertising, rates of pay and other forms of compensation and all other terms, conditions and privileges of employment. This policy applies to all Oaktree applicants, employees, clients, and contractors. Staff members wishing to report violations or suspected violations of this policy should contact the head of their department or Human Resources.

For positions based in Los Angeles
For those applying for a position in the city of Los Angeles, the firm will consider for employment qualified applicants with a criminal history in a manner consistent with applicable federal, state and local law.