This is an individual contributor role with broad cross-functional leadership: you will define the roadmap, prioritize high-impact use cases, run structured experiments, drive delivery across technical and non-technical teams, and measure adoption and business value. You will help turn fragmented tools, data, and processes into cohesive AI solutions that are secure, reliable, and usable in the real world.

You will work hands-on with leading ERP, HCM, CRM, planning, ticketing and data platforms (e.g., Oracle, Workday, Salesforce, Databricks, etc.), along with our own internal products and platforms, ensuring solutions are grounded in the realities of data quality, controls, governance, and operational ownership.

We’re looking for people who can move fluidly from understanding business process needs to defining product requirements and collaborating with internal product teams to improve solutions for our users.

In this role, you will:

• Identify and prioritize AI-driven opportunities to automate finance operations and adjacent enterprise workflows, enabling more efficient processes, better insights, and stronger execution.
• Partner with stakeholders to understand current-state processes, pain points, data dependencies, risk constraints, and success metrics, then translate those into clear product requirements and prioritized roadmaps.
• Define product requirements and develop lightweight prototypes to help guide engineering teams in building solutions that meet user needs.
• Design and lead pilots for AI-enabled workflows, including agentic tools, workflow automation, and custom applications, with clear hypotheses, rollout criteria, and measurable outcomes.
• Collaborate with Enterprise Platform Engineering and internal platform teams to adopt OpenAI technologies, such as Codex, as well as MCP-based actions and connectors that securely expose enterprise system capabilities to AI workflows.
• Coordinate secure data onboarding and integration across systems such as Oracle, Workday, Salesforce, Anaplan, Databricks, and external vendor platforms, partnering with data owners, IT, Security, Legal, and Risk as needed.
• Own delivery across technically and organizationally complex initiatives, aligning requirements, dependencies, and governance reviews, so teams can move from experimentation to scaled adoption.
• Track adoption, quality, and business impact through dashboards, user feedback, and executive-ready updates, and use those signals to iterate on product direction and investment priorities.
• Assist with other development efforts as needed.

You might thrive in this role if you:

• Have 8+ years of experience across product management, enterprise applications, business systems, or enterprise transformation, with a track record of driving technology-enabled business outcomes in complex environments.
• Bring strong fluency in Finance processes and enterprise technology, with experience across areas such as quote-to-cash, revenue, billing, accounting, treasury, FP&A, or adjacent finance domains.
• Understand how enterprise platforms such as Oracle Fusion, Workday, Salesforce, Databricks, Anaplan, or similar systems fit together to support core business operations and data flows.
• Have led the delivery of production AI, automation, or data products and naturally think about governance, failure modes, usability, and operational adoption.
• Can structure ambiguous business problems, evaluate competing opportunities, and turn them into pragmatic roadmaps, pilot plans, and scaled implementations.
• Are comfortable working across APIs, integrations, identity, data access patterns, and workflow orchestration, and can partner effectively with engineers, architects, and data teams.
• Have strong judgment in enterprise environments and can challenge assumptions, identify product gaps, and provide actionable feedback to improve internal tools and platforms.
• Are an exceptional communicator who can document decisions crisply, influence without authority, and present status, risks, and recommendations clearly to both executives and practitioners.
• Can lead cross-functionally without relying on formal org boundaries: you build trust, create momentum, and raise the quality bar through clarity, judgment, and follow-through.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

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Software Engineer, Compute - Storage

Location

San Francisco; New York City

Employment Type

Full time

Location Type

Hybrid

Department

Scaling

Compensation

• $230K – $385K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

More details about our benefits are available to candidates during the hiring process.

This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.

About the Team

Storage Infrastructure provides APIs for data access, placement, and lifecycle management, while ensuring that the storage systems’ capacity, throughput, and IOPs satisfy the needs of our AI researchers. Scalability, reliability, security, and usability are the core concerns of the team.

About the Role

As an engineer on the Storage Infrastructure team, you will design, build, and operate Exascale systems to scalably and reliably manage our research data across multiple regions.

We’re looking for distributed systems engineers who have worked on exascale data management systems or distributed filesystems.

In this role, you will:

• Develop software to manage exascale data, and make it accessible to researchers

• Drive the reliability, predictability, and cost effectiveness of our storage systems

• Interface with researchers to understand and accommodate data use-cases

• Ensure the security of our critical datasets

You might thrive in this role if you:

• Have a deep understanding of distributed systems principles and a proven track record in designing and building scalable, reliable, and secure storage solutions.

• Possess strong programming skills

• Have experience working in public clouds (especially Azure)

• Are familiar with AI/ML data access patterns

• Bias for action and comfort building in a fast paced, dynamic environment

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

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