9 ΡΠ°ΡΠΎΠ² Π½Π°Π·Π°Π΄
Associate Data Product Manager (AI)
ΠΡΡΡ & Π‘ΠΎΠΏΡΠΎΠ²ΠΎΠ΄
ΠΠ»Ρ ΠΌΡΡΡΠ° Ρ ΡΡΠΎΠΉ Π²Π°ΠΊΠ°Π½ΡΠΈΠ΅ΠΉ Π½ΡΠΆΠ΅Π½ Plus
ΠΠΏΠΈΡΠ°Π½ΠΈΠ΅ Π²Π°ΠΊΠ°Π½ΡΠΈΠΈ
Π’Π΅ΠΊΡΡ:
TL;DR
Associate Data Product Manager (AI): Building and running AI agents, decision-support products, metrics, and analytics services with an accent on production coding, evaluation suites, and measurable business impact. Focus on monitoring live products, improving accuracy and adoption, and translating operational problems into executable data product specifications.
Location: Singapore, Singapore; hybrid workplace.
Company
is a Singapore-based fintech company operating a multi-currency payment platform and digital wallets for consumers and businesses across Asia Pacific.
What you will do
- Own data product initiatives end to end, from problem definition and data requirements through launch and ongoing operation.
- Build and ship production code with AI coding agents, review generated code, and maintain engineering quality.
- Develop evaluation suites covering accuracy, guardrails, and regression testing.
- Monitor live products, resolve failures, improve performance, and drive user adoption.
- Measure and report business impact, including time saved, faster decisions, resolved tickets, and avoided errors.
- Translate business questions into data definitions, user stories, acceptance criteria, and operational documentation.
Requirements
- 1β3 years of hands-on experience building products, software, or data/AI systems.
- Solid programming fundamentals and comfort writing and understanding production code.
- Strong problem-solving, structured thinking, and the ability to work with AI coding agents while taking responsibility for the output.
- Ability to collaborate with technical and non-technical stakeholders, including customer support agents, finance analysts, and country teams.
- Experience defining and tracking product and operational metrics.
- Ownership mindset, adaptability, curiosity, and comfort with ambiguity.
Nice to have
- Experience shipping or evaluating LLM-powered features in production.
- Exposure to fintech, payments, or another regulated environment.
- Experience with data warehouses such as BigQuery or Snowflake, dashboards, or metrics layers.
- Interest in travel and overseas spending.
Culture & Benefits
- Entrepreneurial culture focused on innovative fintech solutions.
- Opportunity to work with business, operations, engineering, and country teams across the region.
- Hybrid work arrangement in Singapore.
- Inclusive and diverse regional working environment.
ΠΡΠ΄ΡΡΠ΅ ΠΎΡΡΠΎΡΠΎΠΆΠ½Ρ: Π΅ΡΠ»ΠΈ ΡΠ°Π±ΠΎΡΠΎΠ΄Π°ΡΠ΅Π»Ρ ΠΏΡΠΎΡΠΈΡ Π²ΠΎΠΉΡΠΈ Π² ΠΈΡ ΡΠΈΡΡΠ΅ΠΌΡ, ΠΈΡΠΏΠΎΠ»ΡΠ·ΡΡ iCloud/Google, ΠΏΡΠΈΡΠ»Π°ΡΡ ΠΊΠΎΠ΄/ΠΏΠ°ΡΠΎΠ»Ρ, Π·Π°ΠΏΡΡΡΠΈΡΡ ΠΊΠΎΠ΄/ΠΠ, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡΠ΅ ΡΡΠΎΠ³ΠΎ - ΡΡΠΎ ΠΌΠΎΡΠ΅Π½Π½ΠΈΠΊΠΈ. ΠΠ±ΡΠ·Π°ΡΠ΅Π»ΡΠ½ΠΎ ΠΆΠΌΠΈΡΠ΅ "ΠΠΎΠΆΠ°Π»ΠΎΠ²Π°ΡΡΡΡ" ΠΈΠ»ΠΈ ΠΏΠΈΡΠΈΡΠ΅ Π² ΠΏΠΎΠ΄Π΄Π΅ΡΠΆΠΊΡ. ΠΠΎΠ΄ΡΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β
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