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AI Product Manager (Data & AI Transformation)
Leads a creator-led digital marketing agency's data & AI transformation in Bangkok: building internal AI tools, content-generation automation, creator analytics, and client-facing data products. Works with GenAI APIs (OpenAI, Claude, Gemini), prompt engineering, workflow automation (Make, n8n, Zapier), and BI stacks (Looker, BigQuery, Snowflake).
Product Manager - 광고 (광고 상품)
Owns and improves performance ad products for a 21M-user marketplace, balancing ad revenue with user experience and ML-driven optimization.
Associate ServiceNow Developer
In-house ServiceNow developer at Publicis Re:Sources (the shared-services IT arm of advertising giant Publicis Groupe), designing, building and administering ServiceNow ITSM/CSM solutions — scripts, integrations, portals, CMDB/asset data — for internal users. Onsite role in Pune, Gurgaon or Bengaluru, India; needs ~5 years of ServiceNow experience.
Data Scientist
12-month fixed-term Data Scientist employed by recruiter people2people but working with Samsung Electronics Australia. Day to day: analysing complex datasets, building statistical/ML models in Python and SQL, and using Snowflake, dbt, Tableau, Cortex AI and Claude Code to deliver commercial insights for Samsung Ads.
Concur/Redwood Business Systems Analyst - 2610003585
Business systems analyst who administers, supports, and continuously improves the Redwood Balance Sheet Certification and Concur platforms: gathering requirements from business stakeholders, managing change control and testing, troubleshooting issues, and building reports and dashboards. On-site in Dallas; finance/accounting background with strong Excel skills.
Product Manager - Experimentation Platform
At Apple, we focus deeply on our customers’ experience. Apple Ads brings this same approach to advertising, helping people find exactly what they’re looking for and helping advertisers grow their businesses. Our…
リモートOK!自社プロダクト開発のフルスタックエンジニア／システムエンジニア（アプリ設計／WEB・オープン・モバイル系）
Full-stack engineer at Mattrz, maker of the web customer-engagement SaaS 'MATTRZ CX-ZERO': leads the integration of legacy and new systems end to end — requirements, design, feature development, test automation, refactoring, and cloud infra — using Ruby on Rails, JavaScript/Vue.js on AWS/GCP, with a path toward tech lead.
プロジェクトリーダー／プロジェクトマネジャー・リーダー(WEB・オープン・モバイル系）
Leads contracted development of marketing data platforms and advertising systems at EVERRISE, a data-utilization consultancy with adtech roots. Handles client negotiations and technical proposals, designs large-scale data pipelines, mentors developers via code reviews, optimizes performance, and drives AI-assisted development workflows.
テックリードエンジニア／システムエンジニア（アプリ設計／WEB・オープン・モバイル系）
Tech lead / system engineer at EVERRISE, a data-utilization consulting firm with marketing/adtech roots. You lead contract development of large-scale data platforms and ad delivery systems on AWS/GCP (billions of records), mentor the team via code reviews, and design AI-assisted development processes.
プレイングマネージャー／プロジェクトマネジャー・リーダー(WEB・オープン・モバイル系）
Hands-on engineering manager/PM at EVERRISE who leads customer data platform projects end-to-end — planning, budget, requirements through release and operations — while still doing design, implementation and code review, increasingly with generative-AI coding tools. Work centers on AWS/GCP cloud infra and BigQuery/Snowflake data platforms for large enterprise clients.
PM／プロジェクトマネジャー・リーダー(WEB・オープン・モバイル系）
PM/PL at EVERRISE's Cloud Integration division, leading marketing-system development projects end to end: requirements definition, CDP rollout, planning and budgeting, managing 2-10+ person dev teams, vendor control, and driving AI-coding-agent adoption — while staying hands-on in design/implementation. On-site at the Roppongi, Tokyo HQ.
AI Agent Development Engineer Graduate (TikTok Monetization Quality Assurance) - 2027 Start
Graduate engineer (2027 start) on TikTok's Monetization Quality Assurance team, building LLM-powered AI Agents for ad-platform incident response, system reliability, and QA automation — covering retrieval, tool-calling, memory, and task execution — using Go, Python, Java, TypeScript, or C++.