Datumix
Product Manager / Early Engineer (Jul 2018 – Jan 2020). Led global software + data work around Shopify app operations and ML-driven commerce personalization.
- First engineering hire at a Tokyo-based SaaS startup; supported the Shopify app and KPIs dashboard.
- Managed global software and data teams across multiple streams of work.
- Prioritized business needs through research and user interviews, keeping teams aligned on outcomes.
- Led an ML team building an AI-driven blog and product recommendation engine for Cosme.
- Impact: powered customer-facing product upsells for 34.2M daily users.
- Designed the system around practical discovery behavior: recommendations that fit how people browse.
- Applied ML/engineering to warehouse operations intelligence (Optimus.ai).
- Focused on turning operational signals into reliable decision support.
- Bridged product needs with engineering feasibility through tight scoping and iteration.
- Worked across additional AI systems under the Aubrie.ai umbrella.
- Partnered with product stakeholders to translate ambiguous ideas into measurable engineering tasks.
- Kept a consistent focus on correctness, handoffs, and maintainability.
- Built recommendation surfaces that made merchandisable logic usable by teams.
- Ensured personalization outputs were actionable, not just model scores.
- Supported downstream learning loops by monitoring behavior and improving feedback signals.
- Comfortable working across time zones and remote teams (including offshore async collaboration).
- Translated research + user insights into engineering requirements with clear documentation.
- Ensured smooth delivery via careful handoffs and structured communication.