Vibhuti Jha
General Manager - Product & Services @Xebia
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WORK HISTORY
General Manager - Product & Services @Xebia
Jaipur, IN
Leading the product strategy, roadmap, and execution for a multi-tenant SaaS Implementation Engine.• Built configurable, reusable components that reduced onboarding and setup time by 30%.• Enhanced workflow automation capabilities to accelerate go-live cycles across multiple banks.• Defined product KPIs and frameworks improving adoption and operational consistency.• Supported leadership with product growth initiatives contributing to a ₹80–90 Cr+ pipeline.
EDUCATION
University of Rajasthan
Bachelor of Computer Applications
Savitribai Phule Pune University
Master of Computer Applications
ABOUT VIBHUTI JHA
I design enterprise SaaS platforms, workflow systems, and implementation engines where complexity is unavoidable — multi-team execution, multi-product rollouts, role-based access, long-running business processes, and operational risk at scale. My focus is on platform product strategy, not feature delivery.Most enterprise software and workflow automation platforms don’t fail because of missing features. They fail because the rules are unclear. Lifecycle ambiguity, weak governance, inconsistent status models, poor ownership definition, and admin vs execution confusion slowly erode trust until users stop relying on the system. This is the root cause of breakdowns in task management systems, case management tools, and implementation platforms.My work centers on building scalable, governable product platforms that remain operable as complexity increases. That includes defining workflow lifecycles, status semantics, state transition rules, role-based permissions, decision boundaries, and exception handling models before speed and customization introduce chaos. I treat ambiguity as a product defect, not a process gap.I’ve designed and evolved implementation engines, workflow-driven task management systems, issue tracking and support case platforms, and admin-configurable enterprise products used across multiple clients and teams. A key part of my approach is separating admin-side configuration from execution-side behavior so platforms stay predictable, auditable, and usable under real-world conditions.I’m deliberately skeptical about how AI and automation are introduced into enterprise platforms. AI features that lack explainability, auditability, and human control destroy user confidence. Trustworthy AI, human-in-the-loop automation, and rule-bound intelligent systems matter more than intelligent demos. Adoption comes from clarity, not intelligence theater.I work best with platform teams, founders, CTOs, and product leaders building enterprise workflow software, low code / automation platforms, and complex B2B SaaS systems where long-term scalability, governance, and trust matter more than short-term feature velocity. If you’re building something complex and want it to scale without breaking, that’s the conversation I’m interested in.
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