Technical Systems Program Manager, User Operations

Compensation

The base pay for this role is $216K – $240K, with additional equity offered. Total compensation includes generous equity, performance-related bonuses 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 Team

The User Operations team (Support) ensures that customers have an exceptional experience with OpenAI's products. They resolve complex issues, provide technical guidance, and support customers in maximizing value and adoption.

About the Role

OpenAI is looking for a Technical Systems Program Manager to drive the strategy, alignment, prioritization, and execution of systems across Salesforce and adjacent platforms. This role will partner closely with Engineering, Revenue Operations, Data, and Enterprise Platform teams to operationalize scalable CRM workflows.

Responsibilities

• Own and drive CRM systems initiatives across support

• Partner with senior business stakeholders and engineering teams to identify operational pain points, define scalable solutions, evaluate technical tradeoffs, and execute across Salesforce and adjacent platforms

• Align cross-functional stakeholders including Revenue Operations, Support Delivery, Risk, Engineering, Data, Legal, and Enterprise Platform teams while driving prioritization and execution

• Help operationalize AI-native workflows by defining and building scalable automation, orchestration, agentic workflows, and human-in-the-loop processes in partnership with cross-functional teams

Requirements

• 8+ years of experience driving high-impact technical programs in a program management, technical program management or adjacent role

• Strong understanding of CRM workflows customer systems supporting user operations or support organizations

• Experience working across CRM systems, routing engines, and adjacent systems

• Proven ability to drive complex cross-functional initiatives from discovery and stakeholder alignment through execution and operationalization

• Strong technical fluency across APIs, integrations, event-driven architectures, enterprise SaaS ecosystems, and Salesforce platform capabilities

• Experience partnering closely with Engineering, Revenue Operations, Security, and Enterprise Platform teams

• Experience operating within SOX/SOC2-controlled environments with strong understanding of SDLC, QA, release management, and operational governance

• Strong written and verbal communication skills with the ability to clearly communicate priorities, tradeoffs, risks, and execution plans

Nice to Have

• Ability to independently reason through technical system design, integration dependencies, and operational tradeoffs alongside engineering teams

• Experience working within AI-native, high-growth, or highly ambiguous operating environments

• Exposure to global support operations

• Ability to operate scrappily and iteratively while maintaining a strong bias toward scalability, governance, and long-term maintainability