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NB

GTM Engineer

nBlick
Posted 6 hours ago
🌍Europe🏠Remote📁Sales
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GTM ENGINEER

nBlick — Remote (Europe)


ABOUT NBLICK


When someone asks ChatGPT which tool to buy, which agency to hire, or which brand to trust, the answer arrives with no blue links and no way for the brand to see what was said about them or whether they were mentioned at all.


nBlick is the visibility layer for that world. We run persona-based prompts across 10+ AI models every day ChatGPT, Claude, Gemini, Perplexity and others and turn every answer into structured metrics: mention rate, share of voice, sentiment, competitor positioning. Brands use us to see how they show up in AI answers, and then to change it.


We're early, small, and building the category as we go. The people joining now decide how it works.


ABOUT THE ROLE


You'll build the machine that finds our customers and gets us in front of them.


We have an unusual advantage: our own product tells us which brands are losing visibility in AI answers, and to whom. That's not a generic intent signal, it's a specific, provable problem we can show a prospect before they've ever heard of us. Your job is to turn that into pipeline: build the systems that source accounts, score them on real signal, generate outreach worth reading, and put the right opportunity in front of the right person at the right moment.


This is a builder role, not a campaign-manager role. You'll own the stack end to end and you'll write code.


WHAT YOU'LL DO


- Build the lead engine: source and enrich target accounts, then score them on genuine buying signal rather than raw activity

- Use our own product as a prospecting weapon, turn nBlick visibility data into personalized, provable outreach at scale

- Map every path a prospect can take into our funnel and build systems that capture, qualify and route each one without manual work

- Build outbound sequence automation that produces messaging people actually reply to, drawing on firmographic, behavioral and AI-visibility data

- Produce rep-ready outputs straight from the pipeline, so nobody starts the day cleaning spreadsheets

- Own the full technical stack, ingestion, enrichment, scoring, routing, delivery and design it to stay maintainable as it grows

- Instrument everything and run experiments: channels, messaging, targeting, timing. Kill what doesn't work quickly

- Work directly with founders and product on positioning, ICP and what we learn from the market


WHAT WE'RE LOOKING FOR


- High-agency builder who can scope a messy, multi-source data problem, design a system to solve it, and ship something a sales team will actually trust

- Technically fluent in Python or JavaScript​: comfortable building automated pipelines, integrating APIs, and working across the data stack

- AI-native by default: you automate first and experiment regularly with agents, MCP and workflow frameworks

- Pragmatic about build versus buy: you know when to assemble from Clay, n8n, Apollo, Smartlead or similar rather than build from scratch

- Real time inside a revenue organization, as a practitioner rather than an observer: sales ops, revenue ops, or a technical role on a GTM team

- Systems thinker who designs for edge cases and failure modes from the start

- Comfortable in ambiguity and able to structure your own roadmap


Bonus:


- Experience selling or marketing to marketing teams

- SEO, content or search-marketing background, you'll already speak our customers' language

- You've built an outbound motion from zero rather than inherited one


LOCATION


This role is fully remote within European timezones. We work asynchronously by default and get together in person a few times a year.


COMPENSATION


Competitive base salary plus meaningful equity, this is an early GTM hire and the equity reflects that. We'll share specifics early in the process so nobody wastes their time.


HOW TO APPLY


Show us something you built: a pipeline, an outbound system, a scoring model, an automation that made a sales team faster. Or pick a company you think should be a nBlick customer and tell us how you'd find 100 more like them. We read everything.

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