The Challenge
OpenAI's Marketing Innovation team builds frontier AI-native products that amplify how their GTM organization works. You'll turn cutting-edge AI capabilities into practical workflows that marketing and sales teams use daily-solving problems that traditional tools simply can't handle.
Your Mission
Audit current marketing workflows and identify 3-5 high-impact opportunities where AI agents + human review can improve speed, quality, or scale
Ship 2 prototype workflows to production (e.g., content generation automation, lifecycle campaign optimization) with operator feedback loops
Build a reusable template library and documentation so marketing teams can safely self-serve on future AI workflows
Establish guardrails and monitoring patterns for AI-human collaboration in production marketing systems
Deploy 5-7 'golden workflows' across demand generation, lifecycle marketing, and revenue programs with measurable adoption and impact metrics
Train marketing operators on frontier AI capabilities through hands-on pair programming; track adoption rates and skill progression
Build centralized workflow management system (versioning, monitoring, rollback) to safely scale AI across the organization
Develop playbook for scoping, prototyping, and shipping new AI workflows-enabling repeatable execution without engineering bottlenecks
KPIs You'll Own
Workflow adoption rate
Percentage of marketing teams actively using deployed AI workflows by month 6
Time-to-production (prototype to live)
Measure how quickly you move from problem identification to operator-ready workflows
Quality improvements by use case
Content quality scores, campaign performance uplifts, or operational efficiency gains (e.g., hours saved per workflow)
Self-serve adoption
Number of marketing teams building their own workflows using your templates and guardrails without engineering support
Tools & Stack
Your Team
Your Manager
Head of Marketing Innovation (reporting structure to be confirmed)
Current Team
Product engineers, marketing operators, applied AI specialists embedded across demand generation and GTM
New role-building out AI workflow engineering capability
The Package
Salary
$180K-$220K base
Equity
Likely included (standard for OpenAI roles, not specified in posting)
Remote
On-site only (San Francisco, CA)
Benefits & Perks
Company Intelligence
OpenAI builds advanced AI systems and products. The Marketing Innovation team is embedded within Demand Generation and Marketing-product engineers solving real GTM problems with frontier AI capabilities.
Team Size
1001-5000
Culture
Direct, execution-focused. Ship fast, learn from operators, iterate. No corporate fluff-you're solving real problems with AI.
Is This Role For You?
- You've built systems integrations, automation workflows, or internal tools and shipped them to real users in production
- You're excited about AI-native development (Codex, agents, LLMs) and see it as a new way to build software-not just a feature
- You have strong product instincts: you listen, scope ambiguous problems, prioritize ruthlessly, and drive projects end-to-end
- You enjoy close collaboration with operators/end-users and thrive in ambiguity-turning loose ideas into working systems
- You have familiarity with marketing/GTM stacks (CRM, lifecycle tools, campaign infrastructure) or are eager to learn fast
- You expect a purely engineering role-this is 50% systems building, 50% discovery, scoping, and operator collaboration
- You prefer well-defined requirements and roadmaps-you'll be identifying opportunities and shipping prototypes in uncertainty
- You need remote flexibility-this role is on-site only in San Francisco
- You're not genuinely excited about AI-native workflows; you see this as hype rather than a fundamental shift in how software gets built
Interview Process
Recruiter screen
Confirm background in systems/automation; discuss past shipping experience
Technical conversation
Walk through a past project (integration, workflow, internal tool). How did you scope it? Ship it? Measure impact?
Product/problem-solving round
Given a loose marketing ops problem, how would you approach it? Scoping, technical solution, guardrails, rollout?
Cross-functional panel
Meet with marketing operators and other engineers. Discussion around collaboration style and how you'd work with non-technical teams
Final conversation
Leadership alignment on vision, expectations, and your excitement level for frontier AI in marketing
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Growth marketers drive user acquisition, activation, and retention through data-driven experimentation. They sit at the intersection of product, data, and marketing — running A/B tests, building funnels, and scaling what works.