GTM Engineer

Hace 5 días

Barcelona, Cataluña, España Jobrapido Jornada completa
OverviewPuede obtener más detalles sobre la naturaleza de esta vacante y lo que se espera de los solicitantes leyendo la información a continuación.

In this role, you will build AI-driven GTM systems to power revenue motion across multiple markets. You will partner with RevOps, Sales, Marketing and Customer Success to replace manual, rep-driven work with automated, data-backed plays. You’ll design and test AI-enabled revenue plays from pipeline generation to renewal, treating GTM as a programmable product. This is a greenfield opportunity to shape scalable, guardrailed automation that delivers measurable impact on growth and customer experience.

Compensaciones / Beneficios
  • remote-first model
  • flexible work arrangements
  • structured onboarding and growth opportunities
  • diverse, inclusive team
  • pet-friendly office
  • breakfast and coffee in Turin
Responsabilidades
  • Build end-to-end AI-driven systems powering the revenue motion
  • Generate pipeline through outbound and inbound motions, tailored by market/language
  • Automate deals onboarding processes, CRM updates, and research handoffs
  • Drive renewal and expansion plays with Customer Success, surfacing risk early
  • Own data and enrichment pipelines turning multi-source data into clean inputs
  • Experiment, measure outcomes, kill weak plays, and scale successful ones
Requisitos principales
  • AI and LLMs experience to build GTM systems
  • Strong systems thinking and ability to write decision rules with guardrails
  • Hands-on with Clay or similar enrichment/workflow platforms, API fluency, and comfort with no-code/low-code and light xkdbapo scripting
  • Strong data literacy and comfort with messy, multi-source data
  • B2B SaaS track record in pipeline generation and revenue lifecycle understanding
  • Experimental reflex with outcome-based measurement and fast learning
  • Fluent in English
  • Autonomy and trust-based collaboration
  • Strong communication across cross-functional teams
  • Data-driven decision making
  • AI/LLMs in GTM systems
  • Clay or similar enrichment/workflow platforms
  • API fluency