Senior Manager, IT (Financial Risk Management)

OpenAI • San Francisco, CA

2d • Hybrid

About The Position

As a Senior Manager, you will lead technology risk across engineering-owned systems, focusing on how system-generated data is produced, how it flows across services, and where control points must exist to ensure completeness, accuracy, and reliability. You will work directly with Engineering and Product to influence system design, establish ownership of data correctness, and ensure systems can be relied upon without introducing manual reconciliation or downstream fixes. We’re looking for people who have operated at the intersection of engineering and risk, understand how systems fail in practice, and can translate that into concrete control design and system expectations.

Requirements

• 8+ years of experience in risk management, internal controls, or related functions.
• Experience working in engineering, infrastructure, or technical risk environments.
• Strong understanding of SOX-relevant concepts, change management, and access management.
• Proven ability to design and implement controls within system workflows, not just document or test them.
• Experience partnering directly with Engineering and Product teams.
• Strong judgment in identifying system risk and prioritizing control design.
• Experience operating in fast-paced environments with evolving system architectures.

Nice To Haves

• Have deep experience working with engineering-owned systems (e.g., infrastructure platforms, usage-based systems, monetization systems).
• Understand how data is generated, transformed, and consumed across systems, and where it breaks.
• Can design controls that ensure completeness and accuracy without relying on manual reconciliation.
• Are comfortable challenging engineering decisions and influencing system design.
• Have experience operating in environments with unclear ownership and driving accountability across teams.
• Think in terms of system behavior, risk, and operations—not just frameworks.

Responsibilities

• Define where control expectations belong across systems that generate usage, monetization, and system-critical outputs.
• Identify failure modes in engineering and infrastructure systems and ensure controls exist at the correct layers.
• Challenge system designs that introduce unacceptable risk to data correctness or system behavior.
• Establish clear ownership of data integrity across systems and teams.
• Ensure systems produce complete and accurate outputs without reliance on manual reconciliation.
• Drive resolution of system-level risks beyond documentation.

What This Job Offers

• Job Type: Full-time
• Career Level: Manager
• Education Level: No Education Listed
• Number of Employees: 1-10 employees