As a Program Operations Manager, you'll be responsible for running onboarding end-to-end, owning access provisioning, maintaining program data integrity, building program reporting, and partnering across the organization. You'll work closely with research teams, IT, and our vendor partner to resolve access issues and keep experts unblocked.

You'll be the primary point of contact for a large, distributed population, answering questions directly rather than routing them. You'll exercise strong judgment about prioritization when the volume of work exceeds the time available, and know when to escalate versus resolve independently.

You'll write clearly and concisely, as most of this job happens over Slack and email, and clarity compounds across hundreds of interactions. You'll be comfortable executing at high volume in a program that's still being shaped, handling edge cases well and surfacing what you learn.

You'll use AI tools as a core part of how you work, drafting communications, cleaning data, building lightweight automations, and be comfortable with spreadsheets when that's the right tool.

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We offer a competitive salary range of $216K – $240K, including 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.

About the Role

We are hiring a Senior Legal Solutions Architect to design, build, and scale the AI-native systems that power OpenAI’s Legal function. This role sits at the intersection of legal operations, enterprise architecture, business intelligence, and applied AI, and is responsible for architecting workflows that combine traditional legal systems (CLM, OCM, case management, intake) with agentic, model-driven automation using OpenAI’s API and agent builder platform.

Responsibilities

AI-Native & Agentic Workflow Design

• Design and implement agentic legal workflows incorporating multi-step reasoning, tool-calling, orchestration, and human-in-the-loop review using OpenAI models and APIs.

• Build systems where agents can:

• Triage and route legal intake.

• Extract, normalize, and reason over contract, matter, and billing data.

• Apply playbooks, flag deviations, and escalate issues.

• Interact with downstream systems and data platforms in a controlled, auditable way.

• Define guardrails around autonomy, review thresholds, and escalation paths.

Legal Systems & Data Architecture

• Serve as the primary architect and steward of the legal technology stack, including:

• CLM, OCM, and intake systems.

• Workflow orchestration and middleware.

• AI/agent services using OpenAI models, APIs, and agent builder platforms

• Data platforms.

• Design data flows that ensure legal data is:

• Structured and queryable.

• Governed for privilege and access.

• Suitable for analytics and AI-driven workflows.

Legal Analytics Enablement

• Design and oversee data flows that ensure legal data (contracts, matters, requests, invoices, workflow events) from core systems is structured, reportable, and ready for analytics and AI use cases.

• Support AI and agentic use cases that rely on curated datasets, embeddings, and historical context.

• Ensure data quality, lineage, and auditability across systems.

Integrations, APIs & Middleware

• Configure, extend, support, and in some cases build API-based integrations, webhooks and middleware connectors across legal systems, data platforms, and enterprise tools.

You’ll Enjoy This Role If You:

• 7+ years of experience in legal engineering, solutions architecture, or complex enterprise systems integration.

• Strong hands-on experience with API integration and middleware (REST APIs, JSON, webhooks, auth, error handling, observability).

• Comfort with light scripting or automation (e.g., Python, SQL, or similar) for building automation, integrations, and backend services.

• Deep experience with CLM systems in a complex legal environment.

• Experience designing and scaling workflows using tools like Tonkean or comparable orchestration platforms.

• Demonstrated ability to translate ambiguous legal requirements into reliable technical systems.

• Strong systems thinking around reliability, security, permissions, and data integrity.

• Hands-on experience building with OpenAI APIs (or similar LLM platforms), including tool-calling and multi-step workflows.

• Experience designing agentic systems with human-in-the-loop review and safety constraints.

• Experience integrating legal systems with ticketing, orchestration, and data/BI platforms.

• Strong technical documentation and architectural communication skills.

What Success Looks Like:

• Legal workflows are faster, more scalable, and more resilient through a mix of automation, agents, and human review.

• AI-powered systems are deployed responsibly, with clear guardrails and measurable impact.

• Legal data is structured, usable, and trusted across systems.

• The legal tech stack has a clear, extensible architecture that supports rapid iteration.

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.

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.

For additional information, please see [OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement](https://cdn.openai.com/policies/eeo-policy-statement.pdf).

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and

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Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole.

We're looking for a Program Operations Manager to build and run the operational backbone of our Human Data program. You'll own the systems that keep a large, distributed group of external experts productive: onboarding, access and tooling, communications, data integrity across our vendor partner, and the reporting layer that shows how the program is performing.

Responsibilities:

• Run onboarding end-to-end. Own the workflow that takes external experts from offer-accepted to productive , setup, access, communications, and the things that inevitably go sideways.
• Own access provisioning. Grant, audit, and maintain access across collaboration tools and internal systems for a large external population. Build the documented, auditable process that makes this scale.
• Maintain program data integrity. Keep the tracking systems research teams rely on accurate and current; reconcile records with our external workforce partner and catch discrepancies early.
• Build program reporting. Stand up weekly metrics on headcount, time-to-productive, support volume, and domain coverage. Use the data to spot gaps and surface recommendations.
• Partner across the organization. Work with research DRIs, IT, and our vendor partner to resolve access issues and keep experts unblocked.

You may be a good fit if you:

• Have 4+ years of experience in program operations, research operations, recruiting coordination, vendor management, or a similar operational role
• Have owned an operational process end-to-end , you've been the person accountable when something broke, and the person who fixed it
• Are comfortable being the primary point of contact for a large, distributed population , you answer questions directly rather than routing them
• Exercise strong judgment about prioritization when the volume of work exceeds the time available, and know when to escalate versus resolve independently
• Are highly detail-oriented and take real ownership of data accuracy , you notice when a tracker is stale and can't leave it that way
• Write clearly and concisely; most of this job happens over Slack and email, and clarity compounds across hundreds of interactions
• Are comfortable executing at high volume in a program that's still being shaped , you handle edge cases well and surface what you learn
• Use AI tools as a core part of how you work , drafting communications, cleaning data, building lightweight automations , and are comfortable with spreadsheets when that's the right tool

Strong candidates may also have:

• Experience scaling an operational program through rapid growth
• Background in external workforce, vendor, or recruiting operations
• Light scripting or automation experience (Apps Script, Zapier, or similar)

The annual compensation range for this role is $270,000-$290,000 USD.

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