Product Owner - AI at bolttech

, , North Korea -

Full Time

Start Date

Immediate

Expiry Date

22 Jun, 26

Salary

0.0

Posted On

24 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Product Ownership, Backlog Management, Agile Delivery, AI Product Commercialisation, Scalability, Stakeholder Management, Roadmap Development, User Stories, Data Science, Engineering Collaboration, Go-to-Market Strategy, APAC Market Knowledge, MVP Definition, Feedback Loops, Risk Management, API Design

Industry

Insurance

Description

Role Purpose The AI Product Owner is responsible for owning and driving the delivery of AI products in APAC, with a primary focus on rapid iteration, scalability, and commercialization of customer-facing AI capabilities. The role acts as the single point of accountability for translating business and customer needs into a prioritised product backlog, ensuring AI products are delivered efficiently through agile ways of working and are ready for market adoption across APAC. Key Responsibilities 1. Product Ownership & Backlog Management • Own the product vision and roadmap for assigned AI products within APAC. • Translate business requirements, customer needs, and commercial opportunities into epics, user stories, and acceptance criteria. • Create, maintain, and prioritise the product backlog based on business value, scalability, and delivery feasibility. • Act as the final decision maker on backlog prioritisation and scope trade-offs. 2. Agile Delivery & Iteration • Work closely with Engineering, Data Science, Design, and Delivery teams to ensure clear, actionable requirements ahead of sprint execution. • Lead and participate in backlog refinement, sprint planning, sprint reviews, and retrospectives. • Enable fast build–measure–learn cycles through incremental delivery and feedback loops. • Ensure delivery aligns with agreed timelines, capacity, and quality standards. 3. AI Product Commercialisation • Drive customer-facing AI product readiness, including MVP definition, feature packaging, and rollout sequencing. • Partner with commercial and go-to-market teams to ensure AI capabilities are demo-ready and usable by customers and partners. • Support pilots and early launches, capturing feedback and optimising adoption. • Track and optimise outcomes such as usage, conversion uplift, automation rate, and operational efficiency. 4. Scalability & Reusability • Design AI solutions with a build-once, reuse-many mindset across APAC markets. • Identify opportunities where AI drives operational scalability and cost efficiency. • Promote standardisation of features, APIs, and configurations to minimise market-specific customisation. 5. Stakeholder Management & Communication • Act as the primary product interface between business stakeholders, technical teams, and delivery functions. • Facilitate alignment across regional and global stakeholders on scope, priorities, risks, and dependencies. • Communicate product progress and decisions using structured artefacts such as roadmaps and release notes. Key Deliverables • Product vision and roadmap • Prioritised product backlog • Sprint-ready requirements and clarifications • Demoable AI product increments • Adoption and performance insights • Inputs to commercial rollout and scaling plans Key Stakeholders Internal Product Management, Engineering & Data Science, Platform & Delivery Teams, Operations, Commercial / Sales / Go-to-Market, Security, Privacy, and Compliance External (as required) Customers, distribution partners, and AI technology vendors Required Skills & Experience Product / Business Analysis Capabilities • Proven experience as a Product Owner, Product Manager, or Senior Business Analyst in agile delivery environments. • Strong ability to translate complex requirements into clear functional stories and acceptance criteria. • Hands-on experience working with cross-functional delivery teams. AI & Digital Product Experience • Experience delivering AI-enabled or data-driven products (e.g. GenAI, automation, predictive analytics). • Hands-on experience developing or delivering customer-facing AI applications is a strong plus. • Ability to work effectively with Data Science and Engineering teams. • Understanding of AI product lifecycle concepts including iteration and human-in-the-loop workflows. Commercial & Regional Context • Experience delivering products across multiple markets, preferably within APAC. • Strong commercial mindset focused on time-to-market, scalability, and customer adoption. Ways of Working • Strong stakeholder management and facilitation skills. • Comfortable operating in fast-paced, ambiguous environments. • Outcome-driven and delivery-focused. Language Requirements • Fluent English (written and spoken) – mandatory. • At least one APAC language preferred: Korean and/or Japanese. Success Measures • Reduced time from idea to production for AI features. • Adoption and usage of customer-facing AI products. • Reusability of AI capabilities across APAC markets. • Alignment between business objectives and delivered AI functionality.

Responsibilities

The AI Product Owner is accountable for owning and driving the delivery of customer-facing AI products across APAC, focusing on rapid iteration, scalability, and commercialization. This involves translating business needs into a prioritized product backlog and ensuring efficient delivery through agile methodologies.