About the role
About
the role We're hiring our second GTM Engineer in the Marketing team in Amsterdam, reporting to the Director of Demand Generation. A year ago, this function didn't exist at DataSnipper. Today our first GTM Engineer has built the foundation. Enrichment runs steadily. AI nurturing agents are live and lifting reply rates. Intent signals flow in from across the funnel. The function has reached a turning point: we collect rich intelligence that still lives inside Demand Generation, and there's a list of programs we haven't built yet (Intent signal orchestration, ABM, event automation, deeper hyper-localization). We need an operator who finds manual process offensive. Someone who's been quietly building automations inside their growth or marketing job because they couldn't stand the inefficiency. Someone ready to do this full-time, with a function that already has shape and runway. You'll partner with the first GTM Engineer on the intelligence layer (signals, enrichment, intent data, ICP detection) and own the work of activating that intelligence across Sales, Customer Success, Marketing, and Partnerships. Where the function stands today We've run GTM Engineering as a discipline for about a year. Enrichment flows steadily across inbound and target accounts. AI nurturing agents produce measurable lift. We collect rich intent data across the funnel, and most of that intelligence still lives inside Demand Generation rather than serving the wider revenue organization. Hyper-localization works unevenly. Our agents sometimes switch into the local language on their own, and we don't always catch when that's a win or a loss. Programs we haven't built yet include the ABM with multi-channel orchestration, pre- and post-event automation, deeper signal surfacing into Sales and CS and Partnerships, and more automated workflows in adjacent revenue functions. The second hire is for activating what we have and building what we don't. What you will be doing Partner on the intelligence layer Work with the first GTM Engineer to expand and strengthen the data foundation: enrichment, intent signals, account scoring, ICP detection. Decide together which signals matter, how to surface them, and how to route them. Co-own the quality of data flowing through HubSpot as our single source of truth. Set the patterns for how new tools and data sources integrate into the stack. Activate signals across the revenue organization Route the signals we already collect to Sales, CS, Partnerships, and Marketing in ways that drive specific action. Build Slack digests, CRM triggers, and automated handoffs that surface account moments to the right people at the right time. Sit with AEs, BDRs, CSMs, and Partnership Managers to understand the workflows they live in and the bottlenecks they hit. Measure adoption and pipeline impact, then iterate. Build the programs we haven't cracked yet Stand up signal-based outbound. Detect a buying moment (hiring, funding, leadership change, product usage shift, competitive mention), find the decision-maker, enrich, send. The signal carries the relevance. Build lifecycle expansion plays triggered by product signals. Connect usage data, CRM, and support signals so CS and AEs get prompted when an account is ready to expand. This is often the largest absolute revenue lever for companies with a sizable user base. Orchestrate ABM with multi-channel orchestration: paid, outbound, content, and direct outreach coordinated against named accounts. Build pre- and post-event automation: getting the right people to attend, then capitalizing on conversations afterward. Go deeper on localization and agent governance Extend hyper-localization across markets: EMEA segments, LATAM translation and social proof, disruptive plays in APAC. Tighten the guardrails on agent behavior: when localization should kick in, when it shouldn't, how we keep quality high at scale. Push automation into adjacent revenue functions Identify and eliminate manual work still living in Sales, CS, Marketing Ops, and Partnerships motions. Automate cross-sell and retention plays triggered by product usage, support tickets, and CRM signals. Replace manual account research, CRM updates, and follow-up drafting with workflows that match or beat the human version on quality. What we’re looking for The mindset matters more than the title on your CV. 2–4 years in growth marketing, digital marketing, marketing operations, demand generation, RevOps, or a closely adjacent role. Prior GTM Engineering experience is welcome. We don't require it. The strongest people in this discipline today are crossovers. AI fluency you actually use. You've been integrating LLMs, automations, and agents into your work for a while. You can talk concretely about what works, what breaks, and what's still a hack. A builder's mentality. When you hit a wall, you build the thing rather than file a ticket. You pick up Lovable, Bolt, n8n, or whatever new tool surfaces. You've shipped automations that touched real revenue. A commercial bias. You ask "does this help close a deal?" before "is this elegant?" You measure your work in meetings booked and pipeline influenced. Cross-functional comfort. You can move between marketing, sales, and engineering languages without losing the room. Tools you'll work with (willingness to ramp matters more than checklist completeness): CRM and marketing automation: HubSpot Enrichment and orchestration: Clay AI tooling: Claude Enterprise (Projects, Skills, and MCP integrations all unlocked), plus ChatGPT, and a flexible stack. Think; n8n, Lovable, Bolt. Workflow automation: Zapier, HubSpot workflows Outreach and signal: Common Room, Outreach Analytics: HubSpot, Looker Studio, Google Sheets
