Marketing & Growth Strategist

Group

team.blue is an ecosystem of 60+ successful PaaS and SaaS brands working together across 22 European countries to provide its 3.5 million SMB customers with everything they need to succeed online by offering best-in-class expertise and services.

team.blue's brands are a mix of traditional hosting businesses that offer services from domain names, email, shared hosting, e-commerce, and server hosting solutions and, as specialist SaaS providers, adjacent products such as compliance, marketing tools, and team collaboration products. This broad product offering makes it a one-stop partner for online businesses and entrepreneurs across Europe.

Company

team.blue hub is a new internal startup within the team.blue group, created to deliver a unified, intelligent experience across all team.blue brands. About a year ago, we started building this small, top‑tier team with complete autonomy, using AI to accelerate every workflow, ship fast, think clearly, and deliver measurable results.

Role

As a Marketing & Growth Strategist , you will define and execute the communication, engagement, and conversion strategy for the Hub from inside a small cross-functional squad.

You will own the full growth lifecycle across the Hub surface - from understanding user behaviour, to shaping cross-brand journeys, to designing notifications, in-product messaging, and conversion experiments that drive activation, engagement, and long-term adoption.

Your mission is to help customers move from a single-product relationship to a broader team.blue ecosystem experience by building trust, relevance, and measurable product engagement across brands.

This is a highly hands-on individual contributor role. You will work closely with Product, Data, and Engineering to identify opportunities, define hypotheses, launch experiments, measure outcomes, and continuously improve performance.

Responsibilities

• Positioning & messaging: Translate product capabilities and cross-brand use cases into clear, crisp customer-facing messaging that resonates across different touchpoints and markets.

• Notifications & in-product journeys: Design and iterate cross-brand notifications, in-product CTAs, onboarding nudges, and conversion experiments across the Hub experience.

• Lifecycle & communications: Build and execute multi-channel user communication programs across email, in-product messaging, and other relevant surfaces, with a strong focus on activation, engagement, and adoption.

• Experimentation & iteration: Define hypotheses, run A/B tests, analyse results, and scale what works.

• Data-driven optimisation: Instrument tracking, monitor funnel and engagement metrics, and continuously improve CTR, activation, conversion, engagement, and cross-brand adoption.

• Growth tooling & AI: Use analytics, automation, and AI-assisted tools to support experimentation, segmentation, personalisation, copy iteration, and performance analysis.

• Cross-functional collaboration: Partner closely with Product and Data on event triggers, segmentation logic, journey design, and in-product communication strategy; surface insights and recommendations to Hub and brand teams.

• Hands-on execution: Write high-quality copy for notifications, in-product messages, landing pages, and lifecycle communications, and ship quickly with a strong bias toward action.

Profile

• 5+ years of experience in growth, product, lifecycle, or digital marketing, with hands-on ownership from zero-to-one through scale in a startup or scale-up environment.

• Strong background in SaaS, platforms, or apps, ideally serving SMB/Prosumer customers.

• Proven ability to own growth outcomes end-to-end, including defining KPIs and driving measurable impact across metrics such as CTR, activation, conversion, engagement, retention, and adoption.

• Hands-on experience designing and executing growth programs, including experimentation and A/B testing, informed by a strong understanding of customer behaviour and growth loops.

• Comfortable working with event schemas, funnels, cohorts, and behavioural signals, and able to self-serve insights to inform decisions.

• Fluency in analytics, tracking, and modern growth tooling, including lifecycle automation, segmentation, personalisation, and AI-supported workflows.

• Demonstrated use of AI-augmented workflows in daily work (for example: analysis, segmentation, content iteration, research