GTM Engineer
DataSnipper · Amsterdam
About the role
We're hiring a GTM Engineer to build and run the Data, Systems & AI Engineering layer underneath DataSnipper's GTM and Business Operations stack. This is the build function: if RevOps decides what the ICP is, who owns which territory, and what counts as a qualified opportunity, this team turns those decisions into the systems that actually run them.
That's a bigger remit than any one tool. You'll own the CRM data architecture, build the enrichment and signal infrastructure that feeds it, run the integrations and governance holding the wider stack together (Clay, Snowflake, Gong, and more), and build the automations and AI agents that turn all of it into something Marketing, Sales, CS, and BD run on every day. You decide how the whole engine is put together, working across every function rather than waiting inside one for requests.
Why DataSnipper?
The best commercial opportunities don't come around every day. Selling technology that's transforming an entire industry is one of them.
We believe trust is essential to how society works. Every day, we rely on information that's been independently verified, from financial statements to the products we buy, to the sustainability claims companies make. Behind that trust are audit and finance professionals who examine evidence, verify information and hold organizations accountable.
At DataSnipper, we build AI solutions that empower those professionals to make those judgements. With Alwin by DataSnipper, our new agentic platform, AI agents now take on end-to-end audit and finance procedures, while every conclusion stays traceable to its source. That frees professionals to focus on the judgment and expertise that make their work so important.
We're trusted by Fortune 500 companies, government agencies and all Big Four audit firms. Today, more than 600,000 professionals across 3,000+ organizations in 175 countries rely on our platform, and in 2025 alone DataSnipper delivered more than $1.4 billion in productivity savings to its customers.
Backed by a $100 million Series B led by Index Ventures, at a $1 billion valuation, we've built a strong foundation for what's next. And as proud members of 1% for the Planet, we care about how we grow, not just how fast.
For our commercial teams, this is where things get exciting.
Alwin has just launched, demand is growing, and we're expanding into new markets and segments. With a product customers already rely on, there's a huge opportunity to make your mark.
If you're commercially driven, ambitious, and excited to build something bigger, this is you chance to help shape the future of audit and finance and accelerate your own career along the way.
Where the GTM function stands today
We are building this function from scratch, and therefore you will have the opportunity to lay out the foundations of what a world class AI GTM Engineering team can look like in a fast paced AI company. We are looking for a team that can take and build upon the existing state- Marketing has built real foundation where enrichment runs steadily, AI nurturing agents are live and lifting reply rates, intent signals flow in from across the funnel, and HubSpot is trusted as the data model of record for accounts, contacts, deals, and lifecycle stages.
This team will be building the next frontier: own integrations and vendor tooling (Gong, Snowflake, Clay, Default AI, Common Room, dialers) end to end instead of managing them reactively, and turn data governance - who can touch shared CRM objects, what change control looks like - from a principle into enforced practice. Beyond that, there's a funnel zone each for Sales, CS, and BD still waiting to be built out, on top of the intelligence Marketing already relies on.
We need operators who are instinctively drawn to turning manual process into clean systems, and ungoverned data into governed infrastructure. People who've spent their growth, marketing, sales, or RevOps careers quietly building automations and tightening the infrastructure underneath their own work, and are ready to do both full-time inside a function that already has shape and runway.
What you will be doing
CRM & data architecture
Administer and evolve the HubSpot data model: accounts, contacts, deals, and lifecycle stages.
Implement lead routing, ICP, and territory logic into the CRM per rules RevOps defines - you build it, RevOps owns what it means.
Implement rules of engagement (ROE) - handoff criteria and account rules - into CRM workflows, automation, and Clay infrastructure that execute them reliably.
Enrichment & signals
Build and maintain enrichment via Clay and providers such as ZoomInfo, Apollo, Clearbit, and Starbridge.
Run TAM analysis and intent-data infrastructure, and keep data quality high through continuous enrichment workflows.
Decide which signals matter, how to surface them, and how to route them to the people who should act on them.
Be the mirror and advisor to the business teams through your work
Integrations, tooling & governance
Own GTM tool integrations end to end (Gong, Snowflake, Clay, Default AI, Starbridge, dialers, Common Room, or equivalent) so data flows cleanly with no duplicate or conflicting records.
Apply data governance standards: review automation that touches shared CRM objects, and respect change control on the data model.
Shape vendor and tool decisions - fit, overlap, integration complexity - so we consolidate instead of running five tools for one job.
Automation & AI build
Build and maintain the core Clay & Lemlist infrastructure: account data, enrichment, sequences, templates, and how contacts flow in and out.
Develop account scoring models and standardized Clay functions that Sales and Marketing can use without building their own underlying workflows.
Build agents, automations, and AI-assisted workflows in Claude, Default AI, and connected tooling.
Activate the build across every funnel zone
Marketing (inbound signal → MQL): inbound enrichment and routing, audience activation, intent signal infrastructure. Drive signal-based outbound - detect a buying moment (hiring, funding, leadership change, product usage shift), find the decision-maker, enrich, send.
Sales (SQL → Closed Won → Renewal → Expansion): prospecting automation, account planning tooling, rep efficiency. Build lifecycle expansion plays triggered by product signals so CS and AEs get prompted when an account is ready to expand.
BD (outbound signal → partner + BD pipeline): partner signal workflows, account intelligence, BD-specific outreach and pipeline automation.
CS (Closed Won → Adoption + Health): onboarding automation, health-score workflows, renewal and expansion signal tooling.
Partner with Ops
Work through a request → brief → build → feedback model. Ops people are the interface; they translate field needs into precise briefs you execute against.
Functions consume what you build rather than configuring or building it themselves, and feedback routes back through Ops - keeping your time focused on builds, not ad hoc asks or slides.
What we're looking for
The mindset matters more than the title on your CV.
2-4 years in RevOps, marketing/sales/CS operations, data/CRM administration, or a closely adjacent role. Prior GTM Engineering experience is a plus, not a requirement - 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.
Comfort owning infrastructure, not just automations. You own a data model, an integration, or a governance rule as confidently as you own the plumbing - not just what sits on top of it.
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, CS, and engineering languages without losing the room.
Tools you'll work with (willingness to ramp matters more than checklist completeness):
CRM and data architecture: HubSpot
Enrichment and orchestration: Clay, ZoomInfo, Apollo, Clearbit, Starbridge
Integrations: Gong, Snowflake, Default AI, dialers, Common Room
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
Bonus: SQL, Python, or TypeScript. The real signal is willingness to learn by tinkering.
What we offer
Being part of one of the fastest-growing scale-ups in the Netherlands
Make an impact by disrupting the audit industry with us
28 vacation days
Excellent salary
Pension plan
Stock participation plan
Hybrid work (Amsterdam-based)
International team and environment
Daily lunch 🍽️
Mental health support (OpenUp)
Social events and team activities 🤩
Recruitment Process
Recruitment Screen (30 minutes, online)
Hiring Manager Interview (30 minutes, online)
Assessment Interview (60 minutes, on-site)
Final Interview (30 minutes, online)
At DataSnipper, we believe great ideas come from different perspectives, experiences, and backgrounds. We’re committed to building an inclusive workplace and providing a fair and equitable hiring experience for every candidate.
We welcome applicants regardless of age, race, ethnicity, nationality, gender, gender identity or expression, sexual orientation, religion, disability, or any other characteristic that makes you, you.
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