Performance Marketing Head

You are the central owner of demand generation and performance marketing with measurement architecture across multiple product lines. You will design, run, and map campaign strategies for qualified pipelines across paid, organic, AI-discovery, and partnership channels. The role deploys content and community into hypothesis-led, multi-channel campaigns and is held to a qualified pipeline as the primary KPI. Capital-efficient by design: small, falsifiable bets, not cash-loaded scale-spend plays.

Responsibilities:

• Demand orchestration. Deploy content and community assets into sequenced, multi-channel campaigns across paid media, AI discovery, ABM, and partnerships. Own the calendar and channel allocation. The success metric will be a working demand engine for each of STOEX, Kwala, and Kalp.
• Hypothesis design and measurement. Frame each campaign as a testable bet with defined cost, audience, channel mix, and qualified-lead definition. Own the read, the kill-or-scale call, and the institutional memory.
• AI-discovery readiness (AEO + GEO). Build Mai Labs' presence on the surfaces and answer engines where buyers now start research: ChatGPT, Claude, Perplexity, and Google AI Overviews, through structured content, schema discipline, and citation tracking.
• Dual-register positioning. Operate fluently across Web2 buyer framings (institutional, enterprise) and Web3 channels (Discord, X, developer, and KOL networks).
• Own end-to-end campaign lifecycle: acquisition, activation, qualification, and conversion to track movement, in addition to volume.

Requirements:

• 10+ years in performance marketing, growth, or demand generation, with prior ownership of multi-product or multi-audience demand. Web3/blockchain preferred; open to SaaS, FinTech, or high-growth B2B tech.
• Hypothesis-led operator with a track record in lean capital or pre-revenue settings. Not a pure scale-optimization profile from well-funded consumer environments.
• AI-discovery and agentic-literate. Understands the AEO / GEO and agentic shift in buyer research and marketing operations. How buyer research has shifted to AI assistants. Candidates whose primary organic strategy is still keyword-ranking SEO are not aligned with the role.
• Measurement discipline. CAC, payback, MQL-to-SQL economics, attribution, and the judgment to know which metric matters when.