Senior AI-Native IT Product Owner
- Hybrid
- Full Time
About the role
Who We Are
Build. Scale. Sustain.
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
About Gen-e2TM
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.
Key Responsibilities
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.
Who You Are
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 product direction.
Think and work systemically, connecting business, technical, and organisational dimensions to ensure product decisions drive meaningful outcomes, not just delivered features.
Confident engaging and influencing at senior levels and able to navigate complex organisational dynamics, manage expectations and scope across multiple initiatives, and hold a position with evidence when the answer is no.
Proficiency with delivery and product tools such as Jira, Azure DevOps, and roadmapping, analytics, or prototyping and collaboration tools (e.g. Jira Product Discovery, Productboard, Figma, Miro).
Practical experience using AI tools (e.g. ChatGPT, Claude, GitHub Copilot) for product work, such as synthesising research, drafting backlogs, and prototyping.
Good-to-Have
Experience in a technology consulting or consulting services environment.
Experience using analytics and reporting tools such as Tableau, Power BI, or Google Analytics to measure product outcomes.
Experience leading, coaching or mentoring Product Owners, Business Analysts, or product teams.
Experience taking a product from MVP towards product-market fit, or for internal products, adoption and value fit, and provide recommendations to remain on-course or pivot.
Product Owner or Product Management certification (e.g. CSPO, PSPO, SAFe POPM).
Familiarity with enterprise applications and modern software architecture.
Experience in pre-sales effort (e.g. scoping, estimates, proposals) and account growth.
We will be prioritizing applicants who have a current right to work in Singapore, and do not require sponsorship of a visa.
More About PALO IT
We’re eager to adapt to change, learn from our experiences and move to meet our planet’s urgent needs. We are continuously taking action to:
Become a climate net-zero company
Deliver projects with a positive impact
Train 100% of our workforce on impact
Achieve B Corp certification among all our offices across the globe
Continuously measure & improve employee happiness
Our clients are amongst the world's most successful companies. We innovate with both established Fortune 1000s, SMEs and start-ups who aim to make an impact, become global leaders and address the world's most complex challenges.
What We Offer
Stimulating working environments
Unique career path
International mobility
Internal R&D projects
Knowledge sharing
Personalized training
Entrepreneurship & intrapreneurship
For more on our team culture and benefits, check out our careers page.
PALO IT Singapore is an equal opportunity employer. Employment decisions will be based on merit, qualifications and abilities. Palo IT SG does not discriminate in employment opportunities or practices on the basis of race, colour, religion, sex, sexuality, national origin, age, disability, marital status or any other characteristics protected by law.
Protecting your privacy and the security of your data are longstanding top priorities for Palo-IT.
Your personal data will be processed for the purposes of managing Palo-IT’s recruitment related activities, which include setting up and conducting interviews and tests for applicants, evaluating and assessing the results, and as is otherwise needed in the recruitment and hiring processes.
Please consult our Privacy Notice to know more about how we collect, use, and transfer the personal data of our candidates. Here you can find how you can request for access, correction and/or withdrawal of your Personal Data.