Principal Product Manager (Design & Experience)

Overview

Principal Product Manager (Design & Experience) at kAIgentic, owning one significant part of the product estate end to end and serving as the company's experience lead across the platform.

What you'll do

• 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, including banking operations, risk and compliance experts, often in Japan, where the work cannot be observed 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, covering how the product shows confidence and uncertainty, when it asks a person for input, and how review and approval work.
• 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 to 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.

What you'll need

• 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, and to show where work was removed and where it was deliberately kept.
• 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.

Nice to have

• Experience with Japanese enterprise clients.

Details

• Location: Bengaluru, India.
• Working across teams in Singapore, India, Japan, Europe and the US.