Used Tools & Technologies
Not specified
Required Skills & Competences
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Customer Acquisition @ 3
Marketing @ 3
Security @ 3
SQL @ 2
Hiring @ 3
Communication @ 6
Prioritization @ 3
API @ 6
QA @ 6
Salesforce @ 3
AI @ 3
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
OpenAI’s Enterprise Platform Technology team builds scalable go-to-market operations that help customers adopt OpenAI products. The team partners across Sales, Marketing, Revenue Operations, Finance, Support, Data, and Engineering to design systems and workflows for customer acquisition, lifecycle activation, and operational scale.
This role will drive strategy, alignment, prioritization, and execution for GTM systems across Salesforce and adjacent platforms. The Technical Product Manager will partner with GTM Systems Engineering, Revenue Operations, Sales, Marketing, Data, and Enterprise Platform teams to operationalize workflows supporting lead capture, enrichment, routing, activation, prospecting, and pipeline generation.
Responsibilities
- Own and drive top-of-funnel GTM systems initiatives across Lead-to-Opportunity (LtO), enrichment orchestration, prospecting workflows, lifecycle activation, routing, and sales engagement operations.
- Partner with stakeholders and engineering teams to identify operational pain points, define scalable solutions, evaluate technical tradeoffs, and execute across Salesforce and adjacent GTM platforms.
- Align cross-functional stakeholders across GTM, Revenue Operations, Marketing, Finance, Security, Legal, Data, and Enterprise Platform teams while driving execution cadence, prioritization, and delivery visibility.
- Help operationalize AI-native GTM workflows by defining scalable automation, orchestration, agentic workflows, and human-in-the-loop processes across the customer acquisition lifecycle.
Requirements
- Strong understanding of Lead-to-Opportunity (LtO) workflows, GTM systems, and data enrichment ecosystems supporting modern sales organizations.
- Experience working across Salesforce, Marketing Automation platforms, enrichment providers, Sales Engagement tooling, routing engines, and adjacent GTM systems.
- Familiarity with attribution flows, MQL/SQL lifecycle management, deduplication, territory assignment, lead routing, sequencing orchestration, and data normalization at scale.
- 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, Sales, Marketing, Finance, 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.
- Familiarity with Salesforce platform architecture, automation patterns, APIs, and event-driven workflows.
- Experience working within AI-native, high-growth, or highly ambiguous operating environments.
- Exposure to global go-to-market operations, territory models, and regional business processes.
- Ability to operate scrappily and iteratively while maintaining a strong bias toward scalability, governance, and long-term maintainability.
Compensation
- Compensation Range: $216K - $240K USD
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. The company emphasizes safety, diversity of perspectives, and inclusive hiring practices. Background checks and reasonable accommodation processes are described in the posting.
Benefits
- Medical, dental, and vision insurance with employer contributions to Health Savings Accounts.
- Pre-tax accounts (Health FSA, Dependent Care FSA) and commuter benefits.
- 401(k) retirement plan with employer match.
- Paid parental leave and paid medical/caregiver leave.
- Flexible PTO for exempt employees and up to 15 days annually for non-exempt employees.
- 13+ paid company holidays and periodic company office closures.
- Mental health and wellness support.
- Employer-paid basic life and disability coverage.
- Annual learning and development stipend.
- Daily meals in offices and meal delivery credits as eligible.
- Relocation support for eligible employees.
- Additional taxable fringe benefits (charitable donation matching, wellness stipends).