Growth Marketing Automation Engineer

As a Growth Marketing Automation Engineer at our leading AI-powered travel platform, you’ll be responsible for automating prospecting and lead enrichment using tools like Apollo and HubSpot. You will also analyze company data to qualify leads automatically, optimize lead scoring models to enhance MQL quality, and run AI-driven outbound campaigns to boost engagement. Collaborating closely with Marketing and Sales will be vital to refine Ideal Customer Profile (ICP) targeting and improve conversion rates.

To become a Growth Marketing Automation Engineer at our company, you'll need 3-5 years of experience in growth operations, sales automation, or tech-driven marketing. Proven expertise with automated lead generation and qualification pipelines is crucial, alongside strong knowledge of marketing automation tools and AI-driven prospecting. Familiarity with SQL, Airflow, or Redshift would be a bonus. English proficiency at B2+ level is preferred.

A Growth Marketing Automation Engineer at our company should be familiar with Apollo, Clay, n8n, Zapier, and HubSpot among other technologies. Knowledge of AI, LLMs, and the ability to implement automated lead scoring and programmatic lead evaluation will also be critical in this role.

As a Growth Marketing Automation Engineer at our organization, you will enjoy a hybrid work environment with three days in the Rotterdam office and two days of remote work. This setup fosters collaboration within our multicultural team while providing the flexibility of working from home, ensuring a balanced work-life integration.

The role of Growth Marketing Automation Engineer offers various opportunities for career growth within our fast-growing scale-up. As you work on innovative AI-driven solutions, you'll gain insights into advanced marketing strategies and be positioned to take on leadership roles or specialize in various aspects of marketing automation and data analytics.

In answering this question, highlight specific tools you’ve used, such as Apollo or HubSpot, and provide examples of how you've implemented automation to improve lead quality and streamline processes. Share metrics or outcomes that showcase your successes.

Discuss the methodologies you would employ in analyzing existing lead data to identify effective scoring criteria. Mention any analytical tools or AI techniques you've used in the past and how you would iteratively improve models based on campaign performance.

Provide details on specific AI tools or algorithms you’ve deployed and describe the impact on lead engagement or conversion rates. Make sure to articulate your thought process and any challenges you faced in implementing these solutions.

Discuss your systematic approach to maintaining data quality, including regular audits and validation methods. Share experiences where you've troubleshoot data discrepancies and implemented best practices to prevent future issues.

Describe the marketing automation platforms you’ve used and how you applied them in campaigns. Provide examples of how these tools helped in lead nurturing and the results achieved through automated marketing workflows.

Talk about your creative approach to crafting personalized messages and segmenting audiences. Include how you leverage data analytics to identify optimal send times and channels for outbound communications.

Share methods you’ve implemented for cross-departmental collaboration, such as joint workshops or regular meetings. Emphasize the importance of aligning goals and sharing data insights to improve conversions collectively.

Discuss how you create compelling prompts for AI models to personalize outreach messages, thereby increasing relevance and engagement rates. Provide examples of successful campaigns where prompt engineering made a difference.

Explain your methods for keeping abreast of industry trends, such as attending webinars, participating in relevant forums, or following thought leaders in the field. Identify any resources you find particularly valuable.

Outline key performance indicators (KPIs) you track, such as MQL conversion rates, lead engagement rates, or reductions in disqualification rates. Provide context on how these metrics inform your strategy moving forward.