What You'll Do
AI Workflow Design & Governance
- Own the architecture of Chargebee's AI-assisted content refresh and paid search pipelines — perfecting the triggers, data inputs, prompt frameworks, and quality gates that determine what gets produced and how
- Write, iterate, and maintain the prompts and evaluation rubrics that govern AI output quality, ensuring content and copy reflect current product positioning, ICP messaging, and brand tone
- Define which outputs ship autonomously, which require human review, and which get escalated — and continuously refine those thresholds based on observed quality and risk
- Evaluate new AI tools, models, and agent frameworks as the landscape evolves, assessing fit for Chargebee's stack and use cases
SEO Strategy & Content Program Ownership
- Own the strategic logic of the content refresh programme — which signals trigger a refresh, how opportunities are prioritised, what good looks like for each content type
- Develop and maintain Chargebee's approach to GEO (Generative Engine Optimisation), including how content is structured for LLM citation, answer engine surfaces, and AI-assisted search experiences
- Review and approve AI-generated content for the cases that require editorial judgment — positioning nuance, competitive sensitivity, product accuracy — and feed learnings back into the workflow
- Work with the broader content and SEO team to ensure the programme stays aligned with keyword strategy, topical authority goals, and product messaging
Paid Search Strategy & Creative Direction
- Set the strategic creative brief for AI-generated ad copy — defining audience segments, funnel stages, messaging hierarchies, and the angles the AI generates against
- Own the quality and brand governance layer for paid search creative — reviewing AI-generated variants for fit, flagging risks, and ensuring nothing ships that could create reputational or legal exposure
- Interpret performance signals to understand why certain creative angles win, translating those insights into better upstream briefs and more effective generation parameters
- Ensure creative learnings from paid search flow into landing page, organic content, and nurture messaging — and vice versa
Experimentation at Scale
- Own the experimentation roadmap across paid and organic channels — what hypotheses are being tested, how tests are structured, and how results are synthesised into durable learnings
- Design experiments that take advantage of AI-enabled volume: messaging angle tests, audience variant tests, content structure tests that would be impractical to run manually
- Build a compounding knowledge base of what works for Chargebee's audience across the funnel, ensuring the team gets smarter with each cycle
Performance Intelligence & Reporting
- Monitor programme performance across SEO and paid search, using GA4 and platform-native tools to surface what's working, what isn't, and where the highest-leverage interventions lie
- Translate data signals into clear recommendations for the team lead and cross-functional stakeholders — not just what happened, but what it means and what to do about it
- Identify where AI workflows are producing poor outputs or missing signals, and diagnose whether the fix is at the prompt, data, or strategy layer
Cross-Functional Enablement
- Help content writers, designers, and web team members understand how to work effectively alongside AI systems — what to brief, what to review, and where human judgment adds the most value
- Represent the performance marketing team's AI capabilities and requirements in cross-functional planning and campaign launches
What We're Looking For
Experience and background
- 3–5 years in a performance marketing, growth, or content strategy role, ideally within B2B SaaS
- Demonstrated experience designing or operating AI-assisted marketing workflows — not just using AI tools, but owning the logic of how they run
- Strong grounding in SEO strategy and paid search — you understand how keyword intent, content structure, ad copy, landing pages, and bid strategy interact, and you can make sound decisions across all of them
AI and systems fluency
- Comfortable writing and iterating on prompts for content and copy generation, and evaluating output quality critically
- Able to design simple workflow logic — triggers, conditions, approval gates — even without an engineering background
- Familiar with AI content and paid search tools (AirOps, Jasper, Google's AI-powered campaign features, or equivalents); more important is the ability to learn new tools quickly and assess them clearly
- Understanding of how LLMs work at a conceptual level — enough to know what they're good at, where they fail, and what that means for how you build quality controls
Strategic and analytical thinking
- Strong analytical instincts — you can look at a performance dataset and form a credible hypothesis, not just describe what happened
- Able to hold strategic intent and operational detail simultaneously; you care about whether the system is producing the right outcomes, not just whether it's running
- Clear written communicator — both in the sense of brand and copy judgment, and in how you structure recommendations and briefs for colleagues
Ways of working
- Comfortable with ambiguity and a high degree of autonomy; this role sets its own agenda within a clear strategic framework
- Constructively opinionated — you have a point of view on what good looks like and can advocate for it clearly
- Interested in how the AI marketing landscape is evolving, with a genuine curiosity about what's coming next
