Function: Product Management

Principal Product Manager

About kAIgentic

kAIgentic is building the intelligence layer for the world’s most ambitious enterprises. Headquartered in Singapore with teams in India and Japan, we help 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, instead of lurching through slow, costly transformation cycles.

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.

Principal Product Manager, AI Transformation Platform

The Role

As a Principal Product Manager, you will set the long-term product direction for kAIgentic’s intelligence layer and own the highest-leverage problems in turning manual, document-driven enterprise work into adaptive learning systems. You will be the product authority for how we reimagine workflows that move billions, including credit origination, risk approvals, and KYC/AML, starting in financial services and expanding across industries.

This is a role for someone who has built and shipped category-defining enterprise platforms before, who can hold vision and execution in the same hand, and who can sit credibly across a CFO, a Chief Risk Officer, a Head of Engineering, and a regulator in the same week. You will define what good looks like in this new category, set the bar for PM craft inside kAIgentic, and grow the team behind you into it.

What You’ll Do

  • Set the multi-year product vision and strategy for kAIgentic’s AI Transformation Platform, including the operating thesis, target outcomes, and the path beyond banking.
  • Own the highest-stakes product surfaces end to end. Turn workflows that move billions, including credit origination, risk approvals, and KYC/AML, into measurable outcomes: adoption, cycle-time reduction, STP %, risk defect rate, and ROI.
  • Architect the product design of multi-agent workflows across BPMN, Temporal, and ServiceNow, integrating with core banking (Temenos, Finacle), CRM and LOS (Salesforce, nCino), data platforms (Azure, Snowflake, Databricks), KYC/AML, and Microsoft 365 / Teams / Power Platform, and connecting to ERP (SAP, Oracle) for finance and reconciliation touchpoints.
  • Define and uphold the LLMOps and MLOps standard for the platform: prompt and version management, offline and online evaluations, telemetry, rollback, hallucination and risk grading, and safety testing.
  • Embed Responsible AI and Compliance-by-Design principles (NIST AI RMF, auditability, explainability, data residency, PII controls, ambient audit) into every product surface and into how the product team thinks.
  • Run discovery with global enterprise customers, surface tacit knowledge, codify it into reusable playbooks, and convert it into product primitives that compound across customers. Shape GTM at the strategic level: pricing and packaging, SI and ISV alliances, marketplaces, and co-sell motions. Represent the product to C-suite, Compliance, Model Risk, and regulator forums.
  • Set the bar for PM craft at kAIgentic. Mentor senior PMs, evolve our writing and review standards, and create the conditions where small teams ship outsized outcomes.
  • Influence technical direction across product, engineering, and AI research, and serve as a trusted thought partner to founders and the exec team.Build the category externally. Speak, write, and engage analysts and design partners to help define what continuously improving enterprise intelligence means.

What You’ll Bring

  • 12+ years of product management experience (or equivalent impact) building and scaling complex B2B or enterprise platforms, including 5+ years with AI, automation, or workflow systems.
  • AI-native velocity as a default mode of working (mandatory).
  • Demonstrated category-defining impact. You have led the product vision and shipping of a flagship enterprise platform that became a standard in its space.
  • Proven track record of shipping AI-driven or data-intensive products in regulated industries (banking, fintech, regtech, or ERP / CRM) at meaningful scale.
  • Deep expertise in enterprise data models, integration patterns (APIs, events, iPaaS), and security (SSO / SAML / OIDC, RBAC / ABAC, SOC 2, ISO 27001).
  • Fluency with multi-tenant SaaS and workflow or automation technologies such as Camunda, Temporal, UiPath, ServiceNow, Kafka, and MuleSoft.
  • Hands-on familiarity with LLMOps and MLOps, evaluation pipelines, and guardrails for AI safety, fairness, and reliability, deep enough to set the bar.
  • Strategic and execution-driven in equal measure. Comfortable setting a three-year vision in the morning and reviewing a PRD in the afternoon.
  • Exceptional written and verbal communicator who is trusted in front of CXOs, regulators, auditors, and engineers. A track record of growing and mentoring senior PMs into great ones.

Nice to have

  • Banking or risk domain expertise across credit, KYC/AML, credit policy, or Ringi-style approvals.
  • Experience engaging Japanese stakeholders and navigating cross-cultural enterprise governance.
  • Working knowledge of data security, privacy, and regulatory tech stacks (GDPR, Basel, KYC/AML).
  • Public artefacts: talks, papers, or design partnerships that show category leadership.

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 gets reshaped over the next decade. We are not building productivity tools. We are building the connective tissue that lets large, regulated 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.

What it feels like to work at kAIgentic

  • Intelligence layer at the core. You will be building the substrate that turns institutional knowledge into governed, production-grade operations. This is not a wrapper on a model. It 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 Microsoft, AWS, UiPath, Wipro, GE, and Genpact 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: an intelligence layer that helps enterprises continuously improve how they run.

kAIgentic is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.