About the job
About Appier
Appier is a leading software-as-a-service (SaaS) company that harnesses the power of artificial intelligence (AI) to enhance business decision-making. Established in 2012, our vision is to democratize AI and transform it into measurable return on investment (ROI) by making software intelligent. With 17 offices across APAC, Europe, and the U. S., Appier is publicly listed on the Tokyo Stock Exchange (Ticker number: 4180). Discover more at www.appier.com.
About The Role
We are at the forefront of developing agentic and recommendation products that revolutionize digital marketing. As the Engineering Manager, you will lead a dynamic team at the intersection of machine learning systems, large language model (LLM) orchestration, and enterprise SaaS, driving reliable and measurable outcomes for marketers, enabling faster execution, smarter budget allocation, and enhanced brand performance.
Our mission is to create advanced Marketing Agents (e.g., Audience Agent, Campaign Agent, Insight Agent) and Consumer-Facing Agents (e.g., Service Agent, Sales Agent), all supported by a unified One Data Platform that facilitates trustworthy personalization and decision-making at scale.
What You'll Build
Agentic Marketing Automation:
- Natural language task assignment: users articulate objectives and constraints in plain language, while agents strategize, execute, and report.
- Amplifying brand advantage: systems that empower strong brands to enhance performance while providing actionable insights for others.
- One Data Platform integration: consolidate identity, events, product catalog, and campaign data to ensure consistent decision-making across products.
[Product Areas]
- Marketing Agents
- Audience Agent: segmentation, targeting strategies, cohort insights, next-best audience.
- Campaign Agent: multi-step campaign planning, creative/testing suggestions, launch & iteration, performance diagnosis.
- Consumer-Facing Agents
- Service Agent: post-purchase journeys, retention, support deflection, cross-sell triggers.
- Sales Agent: lead qualification, outreach recommendations, pipeline nudges (where applicable).
- Recommendation products: ranking, next-best-action, uplift modeling, personalized content/channel selection.
Responsibilities
Engineering Leadership
- Manage and mentor a talented team of engineers while collaborating closely with machine learning scientists to deliver enterprise-grade solutions.
