Performance Marketing Specialist/Strategist (AI Systems) Full Time NEW

About Chargebee

Chargebee is a leading provider of billing and monetization solutions, empowering businesses with recurring revenue models to streamline revenue and finance operations, capture actionable insights, and drive growth.

Chargebee is trusted by businesses of all sizes, including Zapier, LegalZoom, Lambda, Freshworks, DeepL, Condé Nast, and Pret a Manger, and is proud to have been consistently recognized by customers as a Leader in Subscription Management on G2.

With headquarters in North Bethesda, Maryland, our team members are based primarily in India, the U.S., and Europe.

A Note on This Role

If you’re looking for a role where your value comes from personal output volume, writing copy, publishing posts, managing spreadsheets , this probably isn’t it. We’re building a marketing function where AI handles the execution layer and humans own the strategy, judgment, and continuous improvement. If that model energises you, and you want to be close to the frontier of how B2B marketing actually works in an AI-first world, we’d love to talk.

About the role (Job Summary)

Chargebee is looking for a Performance Marketing Strategist to architect and operate our AI-first performance marketing function across paid and organic channels. Sitting within the Web Discoverability & Performance Marketing team, you’ll own the systems, workflows, and strategic logic that power our content and paid search programs — designing AI-driven pipelines, directing autonomous agents, and making the high-judgment calls that determine where and how we grow.

This is not a task-execution role. Most of the production work — content refreshes, ad copy generation, publishing QA, status tracking — is handled by AI systems you’ll be responsible for designing and governing. Your job is to ensure those systems produce the right outputs, that quality and brand standards are upheld at scale, and that the ads and content produced bring in high-fit pipeline. You’ll be held to quarterly lead generation and pipeline targets and equipped with best-in-class technology and thought partners to help you get there.

The best candidate combines strong marketing instincts with systems thinking — someone who is energised by the idea of building leverage rather than doing volume, and who can move fluidly between strategic questions and the technical details of how an AI workflow actually runs.

What you’ll do (role and responsibilities)

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 program — which signals trigger a refresh, how opportunities are prioritised, what “good” looks like for each content type
• Follow 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 program 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 program 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

What you’ll bring (required skills and experience)

Experience and background

• 1–3 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

Nice to have (preferred)

• Hands-on experience with GA4, Data Studio, or similar for performance reporting
• Familiarity with Chargebee, subscription billing, or the revenue management category
• Experience with agent frameworks or no-code automation tools (Zapier, Make, n8n)
• Exposure to GEO, AEO, or LLM-era content optimisation strategy.