GTM Engineer in London

GTM Engineer in London

London Full-Time 60000 - 80000 £ / year (est.) Home office (partial)
BLINK

At a Glance

  • Tasks: Shape Blink's go-to-market operations and build AI-powered automation systems.
  • Company: Join a dynamic tech company transforming employee experiences globally.
  • Benefits: Competitive salary, stock options, private healthcare, and generous leave.
  • Other info: Inclusive culture with excellent career growth opportunities.
  • Why this job: Make a real impact with innovative tech in a supportive team.
  • Qualifications: Experience in marketing ops or sales ops, and strong problem-solving skills.

The predicted salary is between 60000 - 80000 £ per year.

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

Requirements

Who you are: Above all, you figure things out. You won't know every tool on day one. What matters is that when you hit something new, you go and learn it.

  • 2-4 years in marketing ops, sales ops, or revenue ops, ideally in a B2B SaaS environment
  • Comfortable building automations and integrations. You've worked with APIs, webhooks, and workflow tools like n8n, Zapier, Tray, or similar, and you'd rather build something than do it manually twice
  • Hands-on with HubSpot. You know workflows, custom properties, and how to make the CRM do what the business actually needs
  • Actively experimenting with AI in GTM workflows. You don't just know the buzzwords. You've actually built things with LLMs, prompt engineering, or AI-assisted tooling and can show what you've shipped
  • Comfortable with data. You can write SQL, work with Snowflake, and debug a broken pipeline without waiting for someone else to fix it
  • You think in systems, not tasks. When you see a request, you ask whether this should be automated, what else it connects to, and how it should scale
  • A clear communicator who can work with salespeople, marketers, and CS without making everything sound like an engineering ticket

Preferred Qualifications:

  • Experience working in a B2B SaaS or product-led growth (PLG) environment

Benefits

You will have the opportunity to be part of something impactful, large-scale, and meaningful. Most importantly, you'll work for a company with a strong purpose, with an ambitious and supportive team embarking on a journey most start-ups can only dream of!

Benefits include:

  • Competitive salary
  • Stock options on starting and additional high performer grants annually!
  • 25 days’ leave + public holidays.
  • Additional time off between Christmas and New Year.
  • Private healthcare with AXA.
  • 3% employer pension contribution when you contribute 5%.
  • Cycle to Work scheme.
  • Social events (lunches, breakfasts, nights out).
  • Enhanced parental leave.

At Blink, we're committed to creating an inclusive and diverse culture where our people feel they truly belong. We value and respect individual differences, so all applications will receive fair and equal consideration without regard to ethnicity, religion, gender, gender identity or expression, sexual orientation, nationality, disability or age.

GTM Engineer in London employer: BLINK

At Blink, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. Located in the vibrant Old Street area of London, our team enjoys a flexible work environment with opportunities for professional growth, competitive salaries, and comprehensive benefits including stock options and private healthcare. Join us to be part of a purpose-driven company where your contributions directly impact the employee experience across the globe.

BLINK

Contact Details:

BLINK Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land GTM Engineer in London

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Apply Directly through Our Website

When you find a suitable opening like GTM Engineer at BLINK, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace GTM Engineer in London

AI-powered automation
Pipeline generation
Workflow building
API integration
HubSpot expertise
SQL proficiency
Data pipeline management

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at BLINK. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at BLINK

Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

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Get Comfortable with Python and R

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