Sales Specialist

Growth Engineer (GTM)

Location: Remote within Europe (UK, Spain, Portugal, Nordics or Netherlands)

Contract: Full-time, permanent

The Opportunity

We are seeking a commercially minded Growth Engineer to build and scale an AI-powered go-to-market engine for a high-growth B2B SaaS business operating in the property technology sector.

The teams winning now send fewer, far better messages: the right insight, to the right person, at the right moment, on the right channel.

Our client wants to build that engine, and they want you to build it.

As our first Growth Engineer you will design and run the AI-powered system that finds the contacts and decision-makers we should be talking to, works out exactly why they should care, and starts the conversation. Your output is simple to measure: high-quality pipeline and meetings for our sales team. How you get there is up to you. You will have a broad tooling budget, a CRO who builds AI agents himself, and the freedom to test, ship and iterate.

This is not a BDR role with a new name, and it is not a back-office ops role. It is a builder’s role with a revenue mandate.

As the first person in this specialist role, you will own the system end to end: data, signals, targeting, messaging, sequencing and measurement. Nobody hands you a script or a call target.

What you will do:

Build the data foundation

• Build and own a living map of our market: the companies, and the people who make decisions (operators, asset managers and investors) across the UK and Europe.
• Connect our own performance data with external asset, company and contact data so that every target comes with context.

Find the signal

• Work out which accounts to engage, when and why, using signals such as acquisitions, new developments, operator changes, leadership moves, hiring and seasonal patterns.
• Prioritise ruthlessly, so our effort goes where it is most likely to turn into a real conversation.

Engineer the outreach

• Build AI and agentic workflows that research accounts and draft hyper-relevant, specific messages, while keeping the quality, accuracy and tone our brand demands.
• Orchestrate multi-channel engagement across LinkedIn, email, messaging and phone. Read the intent signals and know when a prospect is ready to talk. The call is the last step that closes the gap, not the cold opener.
• Talk to prospects yourself. You will engage directly with senior people across our sector and hand warm, qualified meetings to our sales team.

Measure, learn, scale

• Instrument everything: what gets replies, what converts and what doesn’t. Keep improving the engine.
• Choose and integrate the tools. Keep the system effective and cost-efficient.
• Starting with new business, and over time taking the same approach to expansion, advocacy and retention across our existing customers.

About You

• You are an AI go-to-market builder. You have built agentic workflows, connected tools through APIs and automations, and you have probably hit the limit on your AI subscriptions. Using ChatGPT to tidy up emails doesn’t count.
• You have done it in a real commercial setting. A couple of years in go-to-market (growth, sales development, marketing, RevOps or GTM engineering) at a company our size (c.150 people) or larger, where you have deployed AI-driven outreach or engagement, or worked closely with it.
• You turn data into a reason to talk. You are comfortable pulling messy data sets together, finding the insight, and translating it into something a busy senior executive wants to reply to.
• You write brilliantly. Your English is excellent at business level, because your words land in front of investors and C-suite operators. All backgrounds and accents are very welcome.
• You are commercially minded and polished. You represent the company with confidence and care for our brand.
• You are restless. You would rather build a better way than follow a playbook, and you care as much about cost and efficiency as about results.

Experience with tools such as Clay, n8n, Make, Zapier, HubSpot, LinkedIn Sales Navigator, OpenAI or Claude APIs, Python or SQL would be advantageous. B2B SaaS experience, property technology knowledge and Spanish or European languages are also beneficial.