Data & AI Engineer
On Wego's MarTech team, this engineer builds autonomous AI agents (LLMs like Claude, Gemini, OpenAI) and configuration-driven automation for creating and optimizing ad campaigns across Meta, Google Ads, TikTok, and Apple Search Ads. Daily work pairs Python/SQL data pipelines with performance marketing KPIs like ROAS, CPA, and CTR.
- Compensation
- Not disclosed
- Location
- Indonesia
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 3+ years
- Category
- Ai engineering
- Posted
Skills
Must have
- 3+ years in performance/digital marketing analytics and marketing automation with hands-on AI engineering experience
- Deep understanding of paid/performance marketing KPIs and media platform mechanics (campaign structure, auction, targeting, measurement)
- Experience with media platform APIs (Meta, Google Ads, TikTok) and MMP tooling (AppsFlyer, Adjust)
- Proven experience building end-to-end campaign automation systems (programmatic creation, ML-driven optimization, automated actions via ad APIs)
- Advanced SQL and Python
- Experience building configuration-driven architectures or rules engines, attribution models, and activation workflows
- Proficiency building and orchestrating AI agents using foundational LLMs and integrating them with external tools and APIs
- Extreme flexibility and comfort with ambiguity
- Strong product mindset, treating the marketing team as core users
- Excellent communication skills bridging technical architecture and marketing strategy
Full description
Wego is an online travel metasearch platform used by millions to find the best flights and hotel deals. We are seeking a talented, agile Marketing Automation & AI Engineer with a strong focus on Agentic AI to join our MarTech team.
Role Description
As part of the Marketing Technology (MarTech) team, you will build the next generation of marketing automation — designing and deploying autonomous AI agents that drive insights from digital campaigns and independently optimize marketing operations. You will work daily alongside the Performance Marketing team, deeply understanding their KPIs (ROAS, CPA, CTR, conversion rates) and how media platforms work, their campaign structures, auction mechanics, and APIs (Meta, Google Ads, TikTok, Apple Search Ads) to ensure every system you build directly serves campaign performance goals.
Unlike traditional, rigid backend data roles focused solely on static data lakes, this position requires building highly adaptable, configuration-driven automation systems. You will design architectures that allow the Performance Marketing team to quickly pivot campaign strategies, creative assets, and budget pacing without needing structural core code deployments for every minor requirement change.
Key Responsibilities
- Campaign Creation & Optimization Automation: 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.
- AI-Driven Content Orchestration: Engineer multi-agent systems to generate and iterate on personalized ad content (ad copy, images, videos) at scale.
- Agile Data Activation & Automation Infrastructure: Build and maintain flexible data flows optimized for real-time marketing activation. Ensure data structures are explicitly designed for dynamic content generation and automated campaign adjustment rather than just static reporting or legacy ETL pipelines.
- Performance Marketing Collaboration: Partner daily with the Performance Marketing team 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.
- Agentic Workflow Development: Design, build, and deploy autonomous AI agents using LLMs (Claude, Gemini, OpenAI) for automated marketing workflows.
Qualifications
Experience & Domain Expertise
- 3+ years in performance/digital marketing analytics and marketing automation with hands-on experience in AI engineering.
- Deep understanding of paid/performance marketing KPIs, how media platforms work (campaign structure, auction mechanics, targeting, measurement) and their APIs (Meta, Google Ads, TikTok), and MMP tooling (AppsFlyer, Adjust).