Agentic AI Engineering Manager

About Appier

Appier is an AI-native Agentic AI as a Service (AaaS) company that uses artificial intelligence to power business decision-making. Founded in 2012 with a vision of democratizing AI, Appier's mission is turning AI into ROI by making software intelligent. Appier has 17 offices across APAC, Europe and the U.S., and is listed on the Tokyo Stock Exchange (Ticker: 4180).

About the Role

We're building agentic and recommendation products that power next-gen digital marketing. You will lead an engineering team at the intersection of ML systems, LLM/agent orchestration, and enterprise SaaS to deliver reliable, measurable outcomes for marketers: faster execution, smarter budget allocation, and differentiated brand performance.

Our goal is to build Marketing Agents (Audience Agent, Campaign Agent, Insight Agent) and Consumer-Facing Agents (Service Agent, Sales Agent), underpinned by a One Data Platform that enables trustworthy personalization and decisioning at scale.

What You'll Build

Agentic Marketing Automation:

• Natural language task assignment: users describe objectives and constraints in plain language; agents plan, execute, and report
• Amplifying brand advantage: systems that help strong brands compound performance while giving others actionable levers to close gaps
• One Data Platform integration: unify identity, events, product catalog, and campaign data to drive consistent decisions across products

Product Areas:

• Marketing Agents: Audience Agent (segmentation, targeting), Campaign Agent (multi-step campaign planning, creative/testing)
• Consumer-Facing Agents: Service Agent (post-purchase journeys), Sales Agent (lead qualification)
• Recommendation products: ranking, next-best-action, uplift modeling

Responsibilities:

• Engineering leadership: lead a team of engineers and partner closely with ML scientists to deliver enterprise-grade agent and recommendation capabilities
• Translate product goals into technical strategy and establish engineering excellence

Agentic Systems and ML Product Delivery:

• Design and ship agent frameworks: planning/execution loops, tool calling, memory, retrieval, safety guardrails, and evaluation
• Define evaluation methodology for agents: offline benchmarks, online experiments, success metrics, and human-in-the-loop review flows
• Assure solid integration with One Data Platform: data contracts, feature availability, privacy controls, and reliability SLAs

Minimum Qualifications:

• 8+ years professional experience as a Software Engineer; 4+ years in a management/leadership role
• Strong communication in English
• Degree in Computer Science or equivalent practical experience
• Proven track record delivering enterprise-grade products
• Experience working with or managing engineers and ML scientists

Preferred Qualifications:

• Experience building LLM/agentic systems in production (tool use, RAG, orchestration, evaluation)
• Hands-on background with ML systems (recommendation, ranking, attribution, uplift, LTV, forecasting) and their productionization
• Familiarity with data platforms (event pipelines, identity resolution, feature stores, lakehouse/warehouse)
• Experience with A/B testing and causal measurement

Relocation to Tokyo required.