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Lead AI and data product planning, validation, launch, and scaling. Define strategy, roadmaps, KPIs, and requirements while coordinating engineering, design, data, and business teams.
Lead planning and delivery of AI and data products, functions, and services in an assigned domain. The role identifies product opportunities, structures problems, defines themes, and designs product strategy, roadmaps, KPIs, and guardrail metrics. It leads hypothesis validation through PoCs and MVPs, including success and withdrawal criteria.
Responsibilities include preparing PRDs and requirements; organizing data, AI/ML, and non-functional requirements; and driving development with engineers, designers, data scientists, data reliability engineers, data management and analytics teams, and business units. The role also advances go-to-market activities, operational adoption, impact measurement, ongoing improvement, and reuse of successful and unsuccessful practices across other domains.
Example themes include improving matching, recommendation, and scoring experiences; AI and data features that support decisions by workers and businesses; AI/data product planning and implementation for sales, customer success, and marketing; and redesigning operational processes with AI.
Required qualifications include product manager experience or experience leading AI/data projects with product-oriented thinking, cross-stakeholder project delivery, SQL-based data extraction and analysis, and practical foundational knowledge of AI and data. Candidates must be able to discuss issues, requirements, and feasibility with specialists and contribute to product decisions in either AI and machine-learning fields such as data science, ML, LLMs, AI agents, and MLOps, or data-platform fields such as DWH, BI, and analytics engineering.
Preferred experience includes developing and operating AI- or data-enabled products, working with two-sided marketplace or platform products, advancing GTM and operational adoption in sales, customer success, or marketing processes, and knowledge of AI/data governance, security, product strategy, IT strategy, or platform strategy.
The stated stack includes Google Cloud, Python, BigQuery, Fivetran, dbt, Vertex AI, MLflow, LiteLLM, Datadog LLM Observability, Looker, Looker Studio, Terraform, Visual Studio Code, Cursor, Claude Code, GitHub Copilot, Devin, and GAS.
This is a full-time role based at the Tokyo headquarters in Minato-ku, Tokyo, with full remote work permitted. It has a three-month probationary period and a flextime system with core hours of 11:00 to 15:30; standard hours are 9:30 to 18:30. Annual salary is JPY 9,000,000 to JPY 14,000,000, including bonuses paid twice yearly. The position provides 120 annual holidays, two days off per week, statutory holidays, paid leave, and listed insurance and employee benefit programs.
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About Timee
Timee operates a leading Japanese spot-work app that instantly matches workers with short-term, on-demand jobs with no interview required.
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