SlipstreamJobs tracks this role from the company's public career site. Apply directly on the employer's site.
Wego is an online travel metasearch platform used by millions to find the best flights and hotel deals. We are seeking a Data & AI Engineer to join our Marketing Technology (MarTech) team, building the next generation of marketing automation through autonomous AI agents.
In this role, you will design and deploy agentic AI systems that drive insights from digital campaigns and independently optimize marketing operations. You will work closely with the Performance Marketing team, translating their KPIs (ROAS, CPA, CTR, conversion rates) and media platform requirements into technical solutions.
Key responsibilities include:
• Architect end-to-end automated workflows for campaign creation, audience segmentation, creative assembly, launch, and continuous optimization using AI/ML signals to drive dynamic bidding, budget pacing, and A/B testing across channels (Meta, Google Ads, TikTok, Apple Search Ads).
• Engineer multi-agent systems to generate and iterate on personalized ad content (ad copy, images, videos) at scale using LLMs (Claude, Gemini, OpenAI).
• Build and maintain flexible, real-time data flows optimized for marketing activation, explicitly designed for dynamic content generation and automated campaign adjustment rather than static reporting or legacy ETL pipelines.
• Partner daily with Performance Marketing to translate KPIs and rapidly changing campaign objectives into technical configurations; ensure data integrity, API reliability, and consistent AI agent deployments across all paid channels.
• Design configuration-driven automation systems that allow the marketing team to pivot campaign strategies, creative assets, and budget pacing without requiring structural code deployments for every change.
This is a highly collaborative role requiring deep understanding of how paid marketing platforms work—their campaign structures, auction mechanics, targeting, measurement, and APIs—combined with strong product thinking and the ability to empower marketing teams to self-serve safely.
Qualifications:
• 3+ years in performance/digital marketing analytics and marketing automation with hands-on experience in AI engineering.
• Deep understanding of paid/performance marketing KPIs, media platform mechanics (campaign structure, auction mechanics, targeting, measurement), and APIs (Meta, Google Ads, TikTok).
• Experience with MMP tooling (AppsFlyer, Adjust) and proven track record building end-to-end campaign automation systems including programmatic campaign creation, ML-driven optimization, and automated actions via ad platform APIs.
• Advanced SQL and Python proficiency.
• Proven experience building configuration-driven architectures or rules engines (e.g., headless CMS integrations, dynamic creative optimization tools), attribution models, and activation workflows.
• Proficiency building and orchestrating AI agents using foundational LLMs; ability to integrate LLMs and AI agents with external tools and APIs.
• Extreme flexibility and comfort with ambiguity; understanding that marketing strategies pivot quickly and designing technical solutions to accommodate fluid business requirements.
• Strong product mindset and excellent communication skills to bridge technical architectures with creative marketing strategies.
