Principal Product Manager (Design & Experience)

kAIgentic is building the intelligence layer for the world's most ambitious enterprises. Headquartered in Singapore with teams in India and Japan, our software platform helps large organizations evolve as fast as technology itself by turning the tacit know-how locked inside their people into safe, governed, AI-powered operations.

The hardest part of enterprise transformation is not strategy. It is execution. Institutional knowledge lives in people's heads, systems are fragmented, and risk tolerance is low. kAIgentic captures how work actually happens, designs better workflows, and runs them inside an intelligence layer that is observable, auditable, and engineered for the most regulated environments on earth. The outcome is an enterprise that continuously improves.

We are backed by SMBC Group as our founding partner and customer zero, and our platform is already being proven inside one of the most complex, regulated operating environments in the world. That means real problems, real data, and real production impact from Day 1.

You will own one significant part of our product estate end to end: strategy, requirements, delivery and adoption. You will also be kAIgentic’s experience lead across the platform. You will set the principles and patterns every product follows, and own the journeys that cross product boundaries.

Our users do hard, regulated work: confirming how a bank process really runs, redesigning it, and deciding what to automate. The job is not to make that work look simple. It is to remove the labour that shouldn’t be there, keep the expert judgment that should, and make human review mean something.

• Define the UX vision that maximizes adoption and quantifiable value across the kAIgentic product suite.

• Architect integrated experience roadmaps that reconcile enterprise governance, legacy workflows, and AI capabilities into seamless user journeys.

• Influence senior leadership, customers, and engineering partners to align feature priorities with reduced cognitive load and heightened trust.

• Represent kAIgentic in customer workshops and industry panels, extracting tacit knowledge that refines the product experience.

• Define measurable adoption and impact metrics, linking user behavior to business outcomes and informing iterative improvement.

• Architect the translation of market, regulatory, and workflow insights into clear product briefs and decision criteria.

• Influence the adoption of AI-enhanced design and research tools within product teams, accelerating evidence-based iteration.

• Set strategy, roadmap and requirements. Write the specs engineering builds from, and make the scope calls, including what to cut.

• Run discovery with the people who do the work. These are experts in banking operations, risk and compliance, often in Japan, and often in situations where you cannot observe the work directly.

• Define success measures that tie user behaviour to outcomes and quality, such as effort per confirmed process, rework and review quality, not adoption alone.

• Set the experience principles and interaction patterns all products follow. These cover how the product shows confidence and uncertainty, when it asks a person for input, and how review and approval work. Hold the bar in design reviews.

• Own the journeys that cross products, so that what a user confirms in one carries cleanly into the next.

• Design human review that auditors and regulators would accept as meaningful, not a rubber stamp, and define how we measure that it is.

• Design for mixed audiences in the same flow: experts who use the product once or twice, and analysts who work in it daily.

• Prototype with AI tools quickly enough to test ideas with users in days, and raise the team’s practice to match.

• Proven expertise delivering UX-focused product strategy for large-enterprise AI solutions, with a track record of driving adoption and measurable value

• Mastery of product discovery and delivery frameworks, including hypothesis-driven research, PRD authoring, and iterative validation.

• Deep knowledge of enterprise workflow analysis, governance models, compliance constraints, and integration patterns.

• Expertise in AI research fundamentals and the ability to translate model capabilities into user-centric features.

• Strong capability in designing and evaluating user experiences that reduce cognitive load, clarify intent, and build trust.

• Skilled at synthesizing market, regulatory, and customer insights into concise product briefs and strategic direction.

• Exceptional judgment in balancing technical feasibility, security, and scalability with user value.

• Clear, persuasive communication with senior stakeholders, engineering, and customers, both in writing and presentations.

• A track record of owning both a product and its experience in enterprise software used for complex, high-stakes work.

• Judgment to separate essential complexity from accidental complexity. You can show where you removed work and where you deliberately kept it.

• Experience designing oversight of AI or automated decisions, including how model uncertainty and failure reach the user.

• Strong skill at eliciting knowledge from domain experts. Experience in a regulated industry, with banking preferred.

• Hands-on prototyping, including fluency with AI design and prototyping tools. AI-native velocity as a default mode of working

• Clear writing: specs, decision briefs and principles that others can apply without you in the room.

• Influence without authority across product managers, engineering and global stakeholders. Experience with Japanese enterprise clients is a plus.

Why join kAIgentic?

We are a global team of builders who thrive in ambiguity, care deeply about the customers we serve, and believe the intelligence layer is how enterprise work will be reshaped over the next decade. We are building the connective tissue that lets large companies operate with the speed of a startup and the trust of an institution.

We look for people who:

• Combine technical excellence with genuine customer empathy.

• Are entrepreneurial and energized by zero-to-one problems with no playbook.

• Lead with ownership, integrity, and collaboration, not titles.

• Want to help define a new category of enterprise AI, not just ship inside an existing one.

• Working here means being surrounded by peers who challenge assumptions, celebrate progress, and build with both courage and care.

Life at kAIgentic

• Intelligence layer at the core. You will be shaping the substrate that turns institutional knowledge into governed, production-grade operations. This is enterprise infrastructure with real consequences.

• Innovation at enterprise scale. Startup velocity meets the depth, scale, and stakes of mission-critical, regulated environments. Both are non-negotiable.

• Ownership from Day One. Your work directly shapes the product, the culture, and the outcomes our customers see.

• Learning and growth. You will work alongside seasoned leaders from leading enterprises who have built and scaled global businesses.

• A culture of trust. Psychological safety, transparent disagreement, and disciplined experimentation are how we operate, not slogans on a wall.

• Global collaboration. Teams across Singapore, India, Japan, Europe, and the US, working as one.

• A mission worth the effort. Building something the world has not seen before: anintelligence layer that helps enterprises continuously improve how they run.