Paid Media & GTM Automation Manager (Remote, Portugal, UK, Finland)

About the Role:

RELEX Solutions is looking for a Paid Media & GTM Automation Manager to join our Digital Channels team.

In this role, you'll develop, run and optimise paid search and paid social campaigns while embedding GTM engineering principles and AI tooling to help us identify, engage and convert key contacts from our target account list.

You'll play a central role in building a GTM intelligence layer that drives greater precision across mid- and bottom-of-funnel conversion. Using data analytics, automation and AI-driven enrichment, you'll ensure the right message reaches the right personas at the right time.

If you're a paid media, performance or growth marketing expert who thrives on connecting intent signals, building scoring models and scaling outreach through tools like 6sense, Vector, Clay, n8n and HeyReach - then this role was built for you.

What You'll Be Doing:

Demand Generation & Demand Capture ProgramsPlan, execute, and optimise paid media programs and campaigns across LinkedIn, Google and programmatic channels, designed to drive brand awareness, solution education and demand capture at scale

Build campaigns that trigger engagement across our target account list - generating the behavioural signals (ad engagement, web visits, content consumption) that feed downstream intent models, intelligent retargeting, GTM automation and ABM prioritisation

Own the full campaign lifecycle: audience strategy, creative briefing, bid management, budget pacing, and performance reporting

Implement AI-driven orchestration and optimisation workflows to automate bidding, budget allocation, testing and performance improvements across paid search campaigns

GTM Intelligence & ScoringBuild and maintain a dynamic scoring model that synthesises inputs from 6sense (account-level intent), Vector (contact-level intent), LinkedIn engagement, first-party web data, CRM pipeline signals, and ICP fit criteria

Continuously refine ICP definitions - validating assumptions, identify