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Palo IT Singapore PTE. LTD. is seeking an experienced Product Owner/Manager to drive delivery of digital products. You will lead discovery, frame problems, and own the product backlog, working with developers, QA, DevOps, and designers to deliver high-quality increments that meet business goals.
You will collaborate with client sponsors, define MVPs, and maintain acceptance criteria, ensuring value delivery through measurable outcomes and robust stakeholder communication.
We are a global technology consultancy with a trademarked, AI-first engineering approach for accelerating the delivery of digital products, and revolutionizing platform modernization. We do the right thing, and we do it right. We're proud to be a World Economic Forum New Champion, and a B Corp-certified company.
We are small enough to care locally, big enough to deliver globally: 5 continents, 10 countries, +500 experts from +50 nationalities across the Americas, Europe and APAC
We are robust and resilient: 100% independent and 0 debt
We are entrepreneurs and passionate experts: We invest in what we believe genuinely and work as a collective intelligence
We are positive, courageous, caring, doers and committed to excellence
While the market is still largely AI-augmenting delivery, we have reinvented the SDLC to be AI First. Leveraging our 16 years expertise in digital transformation, our approach is a game-changer in productivity and quality, with a strong collaboration between generative AI and our best Talents:
We now generate 95% of the entire product — code, documentation, infrastructure as code, and even design powered by GitHub Copilot.
The quality consistently exceeds the output of our best traditional engineering teams.
A product repository houses all product artefacts, giving AI full project context for higher-quality generation.
A library of rules and prompts defines coding standards, design principles, and security guidelines, ensuring enterprise-grade quality and scalability.
With Gen-e2TM, we deliver end-to-end products 2-3× faster than traditional approaches, while raising the bar for engineering excellence.
Define and communicate the product goal with client sponsors and business owners, turning vague or competing ambitions into an outcome-based roadmap, a well-scoped backlog, and measurable success criteria.
Lead discovery workshops, design sprints, and stakeholder discussions to frame problems from vague and ambiguous problem spaces, and decide which opportunities are worth pursuing.
Validate ideas with users before committing build capacity, through research, interviews, usability testing, and AI-built prototypes.
Own and order the product backlog by value, making and explaining trade-off decisions, knowing when to push back and being transparent to the team and stakeholders.
Ensure backlog items and user stories include acceptance criteria and constraints such as non-functional requirements that are clear, testable, and ready ahead of the team. Use AI to draft and refine them and remain accountable for their quality.
Collaborate closely with Developers, QA Engineers, DevOps Engineers, and Designers as part of one delivery team – making decisions quickly so the team is never waiting on a product answer.
Accept or reject increments against acceptance criteria and the Definition of Done, including increments largely generated by AI, and make release decisions.
Partner with Delivery Leads on release planning, dependencies, and risk so that commitments to clients are realistic.
Define success metrics and tracking with the team, monitor adoption, usage, and business outcomes with analytics tools, and use the evidence to track the product value and adjust the roadmap and backlog.
Report to sponsors and stakeholders on outcomes and value delivered, not task status.
Build and maintain strong relationships with client sponsors, stakeholders, business owners, and users through proactive communication and effective expectation management.
Align stakeholders with competing priorities, manage scope changes with evidence rather than process, and navigate complex organisational dynamics at senior levels to keep decisions moving.
Use AI-powered tools across product work: synthesising research and meeting input, drafting and refining the backlog and pushing it to Jira or Azure DevOps, prototyping, preparing stakeholder communications, and interpreting product data.
Validate AI-generated artefacts, recommendations, and increments to ensure accuracy, completeness, compliance, and alignment with the product goal and business objectives.
Keep the product goal, backlog, and acceptance criteria current in the product repository, so AI has the full context it needs to generate high-quality output.
Bachelor's degree in Information Technology, Computer Science, Business Information Systems, or a related discipline.
At least 6 years of experience in digital product delivery, including at least 3 years as a Product Owner or Product Manager, or in a role with proven ownership of product decisions.
Hands-on ownership of a product backlog in Agile (Scrum) teams across the full software development lifecycle: ordering by value, shaping stories and acceptance criteria, and accepting work against them.
Strong product discovery skills: framing ambiguous problems, validating with users, and defining an MVP.
Experience using prioritisation frameworks (e.g. WSJF, RICE, MoSCoW) and outcome metrics (e.g. OKRs, north-star metrics) to steer