Revenue Growth Lead — AI-Driven GTM (Remote)

Dragonboat

Coimbra

Presencial

EUR 65 000 - 90 000

Tempo integral

14 dias+
Gerador de candidaturas

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Resumo da oferta

Dragonboat, a leading AI-powered product portfolio platform, is seeking a Revenue Marketing Lead in Portugal to own pipeline generation end-to-end. You will collaborate with senior leadership, product marketing, and sales to translate positioning into scalable programs that drive revenue.

This role blends strategy with hands-on execution in a fast-moving environment. You will build and run multi-channel programs, leverage AI-driven personalization, and run experiments to optimize outcomes.

Qualificações

  • 5–8+ years of experience in growth marketing, demand generation, or similar roles in B2B SaaS or AI.
  • Proven track record of driving pipeline or revenue (not just leads).
  • Experience working in a sales-led motion, ideally with mid-market and enterprise customers.
  • Builder mindset with ability to create programs from scratch and test new ideas.

Responsabilidades

  • Own pipeline generation across inbound and outbound channels.
  • Turn Dragonboat’s positioning into campaigns, outbound narratives, and paid/organic programs.
  • Design and run rapid experiments across channels, audiences, and offers.
  • Leverage AI tools to scale personalization, content, and campaign velocity.
  • Build repeatable growth systems and scalable playbooks for pipeline generation and campaign execution.

Conhecimentos

Growth marketing
Demand generation
B2B SaaS
Pipeline management
ABM
AI-enabled marketing

Descrição da oferta de emprego

Dragonboat, a leading AI-powered product portfolio platform, is seeking a Revenue Marketing Lead in Portugal to own pipeline generation end-to-end. You will collaborate with senior leadership, product marketing, and sales to translate positioning into scalable programs that drive revenue.

This role blends strategy with hands-on execution in a fast-moving environment. You will build and run multi-channel programs, leverage AI-driven personalization, and run experiments to optimize outcomes.

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