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42dot

Unified platform for multi-modal urban mobility

Senior Product Manager - Mobility Data Platform

Technical Product ManagementConfirmed live in the last 24 hours
Full-timePangyo-ro, Bundang-gu, Seongnam-si, Gyeonggi-do, South KoreaNo salary listedHybrid

About the Job

Requirements

  • At least 7 years of experience in product management, platform product management, data product management, or equivalent work in the IT or technology field.
  • Experience planning platforms, data products, internal tools, or reusable technical capabilities used by multiple products or engineering organizations, and leading them through adoption by actual users.
  • Ability to understand data models, schemas, metadata, interfaces, and data flows, and discuss relevant specifications and design documents with engineering teams.
  • Ability to analyze the meaning and structure of data generated across different domains and systems and turn it into common data definitions and product requirements.
  • Experience structuring ambiguous or conflicting requirements into alternatives and decision topics, and building alignment among product, engineering, and domain teams.
  • Ability to translate service and product use cases into required data and context requirements.
  • Ability to understand the structure and constraints of data and AI systems and discuss concrete requirements, interfaces, and trade-offs with engineering teams; direct machine-learning model development or backend implementation skills are not required.

Responsibilities

  • Understand data-use goals, shared requirements, and technical constraints across vehicle software, cloud data platforms, and product organizations.
  • Establish the Mobility Data Platform product vision, scope, roadmap, and success criteria.
  • Prioritize based on user value, reusability, technical feasibility, and scope of impact.
  • Distinguish data and capabilities that should be shared across products from areas owned by individual products, and clarify responsibilities across relevant organizations.
  • Structure alternatives and trade-offs when technical constraints and stakeholder interests conflict, and guide product decisions.
  • Plan platform capabilities and workflows for authoring, reviewing, searching, managing changes to, and validating data definitions.
  • Translate user journeys, service scenarios, and agentic experiences into required data, reusable facts, inferred states, context, and action requirements.
  • Review required source data based on data-consumer needs and technical constraints, and define common data definitions, naming, data models, schemas, and interface requirements with domain owners and engineering teams.
  • Specify standards for when data and context are valid, how reliable they are, and how to handle conflicting judgments, and align relevant organizations on those standards.
  • Select representative vehicle-software and product use cases to validate platform value.
  • Use prototypes and real-world applications to validate whether data and context definitions meet data-consumer and product requirements.
  • Evaluate platform performance based on the coverage of required data, reusability, time required for product adoption, and definition quality.
  • Incorporate data gaps, semantic conflicts, and technical constraints found during validation into product requirements, platform capabilities, and the roadmap.
  • Verify that shared data and context are adopted and reused in products, and use user feedback to determine subsequent improvements and priorities.

Desired Qualifications

  • Experience planning or developing products that combine hardware and software, such as automotive software, robotics, IoT, or connected devices.
  • Experience planning or managing end-to-end data flows in which device-generated data passes through platforms and cloud systems for use by multiple products and services.
  • Experience designing or operating shared data definitions, semantic models, or data-governance standards used across multiple organizations.
  • Experience planning personalization, recommendation, or AI-agent products using data and context, or defining context, executable capabilities, and integrations for agents.
  • Understanding of generative AI and AI-agent behavior and limitations, and experience designing agent-based workflows to automate repetitive work or applying and improving product prototypes in real work.

About the Company

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42dot

Unified platform for multi-modal urban mobility

42dot.ai provides a platform called UMOS (Urban Mobility Operating System) that connects and manages multiple transportation modes—such as cars and drones—within a single system for cities, agencies, and private clients. UMOS enables efficient transportation management, demand-response services, and smart logistics by integrating data and operations across modes, powering operations through a subscription-based platform-as-a-service model. Unlike single-mode solutions, 42dot.ai offers multi-modal, city-focused orchestration that bridges public, private, and logistics needs. The company aims to transform urban mobility by helping cities run more efficiently, cut costs, and improve the experience for commuters and logistics providers.

Company size
501-1,000
Company stage
Growth Equity (Venture Capital)
Total funding
$731.9M
Headquarters
Seoul, South Korea
Founded
2019

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