OpenAI

Engineering Manager, Order Systems

OpenAI1 months ago
Location

San Francisco

Type

Full Time

Salary

USD 293,000 – 385,000

Level

Manager

Role

Engineering Manager

Posted

Feb 5, 2026

Full TimeManager

The role

Summary

OpenAI is seeking an Engineering Manager to lead the Order Systems team within Financial Engineering, responsible for building and operating critical billing, invoicing, and order management workflows. This role requires 7+ years of software engineering experience with 3+ years in leadership, focusing on revenue platform integration and distributed systems design.

What you'll do

Team Leadership: Lead and grow a team of engineers responsible for order management automation, focusing on reliability, correctness, and smooth customer onboarding
Architecture Ownership: Own the architecture and roadmap for order data flows into downstream systems including internal provisioning services, billing/invoicing services, and revenue workflows
Workflow Automation: Build and operate resilient workflows and services that automate entitlements, provisioning, usage controls, SKU attribution, invoice generation/delivery, and revenue recognition
Process Improvement: Improve accuracy and timeliness of provisioning, billing, and invoicing by reducing manual intervention and operational load through automation, validation, and reconciliations
Operational Excellence: Establish strong operational practices including observability, alerting, runbooks, and on-call procedures to maintain system health without constant human oversight
Cross-functional Partnership: Partner with Sales Operations, Finance, Accounting, Support, Product, Security, and Compliance teams to translate requirements into resilient, auditable workflows
Strategic Planning: Drive clarity across ambiguous problem spaces and evolving product offerings by creating frameworks and abstractions that scale with OpenAI's commercial growth
Technical Leadership: Set high engineering standards through technical direction, design reviews, mentoring, and fostering a culture of ownership and continuous improvement
People Management: Teach and level up engineers, recruit and retain talent, manage stakeholders, and scope work to balance customer needs with realistic deliverables

What we look for

Technical

Systems DesignStrong expertise in systems design, data modeling, and building reliable distributed services and workflows
Revenue Platform IntegrationExperience integrating revenue platforms including CPQ, billing, invoicing, revenue recognition, and entitlement systems
Commerce SystemsExperience building or operating complex commerce and SaaS ordering systems
Financial SystemsExperience in domains requiring correctness, auditability, and reconciliation such as payments, ERP/finance systems, or invoicing/revenue recognition
Customer-Facing SystemsAbility to lead or partner on customer-facing billing experiences with focus on clarity, accessibility, and trust
Operational ExcellenceDeep care for operational excellence and building observable, predictable, and resilient systems

Education

Bachelor's DegreeBachelor's degree in Computer Science, Engineering, or related technical field preferred but not required with equivalent experience

Experience

Software Engineering7+ years of professional software engineering experience required
Engineering Leadership3+ years of experience leading engineers or managing technical teams
Cross-functional LeadershipProven ability to communicate clearly, build trust, and lead through context rather than control with strong cross-functional partnership experience

Skills

Required skills

Engineering Management3+ years of experience leading and managing engineering teams with proven track record of team growth and delivery
Distributed SystemsStrong expertise in designing and building scalable distributed systems and microservices architecture
Financial SystemsExperience with billing, invoicing, revenue recognition, and order management systems
Data ModelingStrong skills in data modeling and database design for complex financial workflows
System IntegrationExperience integrating multiple systems including CRM, ERP, CPQ, and payment platforms
Cross-functional LeadershipAbility to work effectively with Sales, Finance, Product, and other business stakeholders

Nice to have

SaaS BillingExperience with large-scale SaaS billing systems, usage-based and seat-based pricing models
Revenue OperationsFamiliarity with finance and revenue operations concepts including proration, credits, adjustments, and revenue schedules
Enterprise SystemsExposure to common CRM/ERP ecosystems and payment processing platforms
AI/ML DomainUnderstanding of AI/ML product offerings and usage-based billing models
ComplianceExperience with SOX compliance, audit requirements, and financial controls
Cloud PlatformsExperience with AWS, GCP, or Azure for scalable system deployment

Compensation & benefits

Salary

USD 293,000 – 385,000 (annual)

Stock options

Available

Benefits

Equity Compensation

Competitive equity package with significant upside potential as OpenAI continues to grow and lead the AI industry

Health Insurance

Comprehensive medical, dental, and vision coverage for employees and their families

Mental Health Support

Access to mental health resources and wellness programs

Flexible Time Off

Unlimited PTO policy allowing employees to take time off as needed

Parental Leave

Generous parental leave policy for new parents

Professional Development

Learning and development budget for conferences, courses, and skill advancement

Remote Work Support

Home office stipend and flexible hybrid work arrangements

Transportation

Commuter benefits and transportation allowances for San Francisco office

Meals

Catered meals and snacks in the office

Technology

Latest MacBook Pro and necessary equipment for optimal productivity

Interview process

  1. 1
    Application Review — Initial screening of resume and application materials focusing on engineering management experience and financial systems background
  2. 2
    Recruiter Screen — 30-minute phone call with recruiter to discuss background, motivations, and basic role fit
  3. 3
    Hiring Manager Interview — 60-minute video call with hiring manager covering leadership philosophy, technical background, and experience with financial systems
  4. 4
    Technical System Design — 90-minute technical interview focusing on system design for billing and order management workflows, including scalability and reliability considerations
  5. 5
    Cross-functional Partnership — 60-minute interview with stakeholders from Finance and Sales Operations to assess collaboration skills and business understanding
  6. 6
    Team Leadership Interview — 60-minute behavioral interview focusing on people management, team building, and leadership scenarios in engineering environments
  7. 7
    Final Interview Panel — Series of 45-minute interviews with senior leadership including VP of Engineering and other department heads
  8. 8
    Reference Checks — Background verification and reference calls with previous managers and direct reports
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OpenAI

OpenAI

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OpenAI is an American artificial intelligence research organization developing advanced AI models like GPT. Focused on ensuring AI benefits humanity, it creates tools for natural language processing and generative AI applications.

San Francisco, California, United StatesFounded 2015openai.com

Tech Stack

Languages
PythonJavaScript/TypeScriptSQL
Frameworks
ReactNode.jsFastAPI/Django
Databases
PostgreSQLRedisMongoDB
Tools
KubernetesDockerGitHub ActionsDataDogTerraform
Other
CPQ SystemsPayment ProcessorsRevenue RecognitionERP SystemsSalesforce

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