Blink - The Employee App

GTM Engineer

🇬🇧 London, Wielka Brytania Hybrydowo IT Pełny etat Senior Opublikowano Cze 5, 2026
Tryb pracy Hybrydowo
Forma zatrudnienia Pełny etat
Poziom doświadczenia Senior
Kategoria IT
Kategoria IT Pozostałe IT
Język English
Opublikowano 5 czerwca 2026
Ostatnio sprawdzono 8 czerwca 2026
Kontekst JobGrid

Podsumowanie roli od JobGrid

GTM Engineer at Blink - The Employee App in London, United Kingdom is a hybrid, full-time Senior IT role. JobGrid normalizes the posting into comparable role facts, keeps the source content boundary separate from the employer description, and shows the listing as recently checked on 2026-06-08. No salary is provided in the source; candidates are sent to the original public application page with non-personal referral parameters.

  • Role classification on JobGrid: IT / Other IT, Senior, full-time, hybrid, London, United Kingdom.
  • Source freshness: posted 2026-06-05 and last checked 2026-06-08.
  • Original-language boundary: the source posting is in English, and JobGrid preserves the employer description separately.
  • Salary context: no salary was listed in the provided source payload.

🌍 London (Old Street, 3 days/week)

🤝 Reports to: Director of Revenue Operations

We're not just closing the digital divide; we're reconnecting distributed organisations, enabling seamless communication, and re-engaging employees like never before. Blink, a mobile-first employee experience platform, puts everything employees need right in their hands. With teams in Boston, London, and Sydney, we're making waves worldwide, partnering with industry leaders like Domino's, JD Sports and McDonald's.

The Role

As a GTM Engineer, you will play a pivotal role in shaping Blink's go-to-market operations, ensuring our systems are robust, scalable, and data-driven. We're building a small, high-output revenue operations team, and this is a key hire. You'll report to the Director of Revenue Operations and work across the full scope of the function: sales ops, marketing ops, and CS ops.

We're looking for a GTM engineer who can build the systems that turn signals into pipeline. But this isn't a pure build-and-ship role. You'll sit close enough to the business to understand why something needs building in the first place. That means understanding how our sales, marketing, and CS teams work, where the friction is, and what's actually going to move the number. Some weeks that's architecting a new automation. Other weeks it's digging into a process that isn't working and figuring out the fix.

This role owns the automation, enrichment, and integration layer that connects our go-to-market tools and makes them smarter over time. You won't just maintain what exists. You'll spot where manual work is slowing us down, where data isn't flowing where it should, and where AI can do in seconds what currently takes hours. Then you'll build the fix, measure the impact, and move on to the next one.

Key responsibilities:

AI-powered automation and pipeline generation (70%)

  • Build and maintain AI-powered workflows for prospect enrichment, research, and outbound personalization using tools like n8n and Claude
  • Own the intent-to-pipeline lifecycle end to end: configure signals, define scoring and routing logic, get the right leads to the right people at the right time, and iterate based on what converts
  • Own our partnership data pipeline, making sure overlap data flows into HubSpot cleanly and drives action
  • Identify and MVP-test new pipeline sources. New tools, new signals, new channels, new automations. If it could generate pipeline, you'll try it
  • Own data pipelines from Snowflake into our other tools, keeping customer and prospect data continuously enriched and actionable

HubSpot and marketing/CS automation (30%)

  • Own core HubSpot automation: lead routing, lifecycle workflows, deal stage triggers, property hygiene
  • Provide technical support for marketing and CS automation, including complex nurture logic, custom integrations, and attribution
  • Maintain data quality across the GTM stack: deduplication, field standardisation, and automated hygiene rules