Kubair Bahl

About Kubair Bahl

I am an enterprise solutions professional and AI product manager who ships. I currently work at Invisible Technologies, where I implement AI systems within large enterprise organizations and help teams turn complex, multi stakeholder requirements into production ready solutions.In my current role at Invisible, I design and deploy AI powered, human in the loop systems that automate workflows, improve decision making, and scale operations. My work spans generative AI implementation, AI product management, and agentic AI systems deployed in real world enterprise environments.Previously, I built and shipped Urspace.ai from MVP to production, delivering a functional product in four weeks and shipping more than 20 features within three months. I led discovery across Advancement, Career Services, and IT teams to unify fragmented workflows into a single AI driven system.I have owned products end to end, including PRDs, roadmap definition, sprint execution, QA, releases, and cost management. I built and scaled a beta under a two thousand dollar budget while managing API usage, rate limits, and infrastructure constraints.I design with enterprise constraints in mind, including privacy, security, and governance. My work incorporates FERPA aligned role based access control, audit logging, and data retention policies from day one.My background includes a B.S. in Business from Skidmore College, the Stanford Product Management Program, product experience at Amazon driving a fifty two percent year over year efficiency improvement, and consulting experience with Airbus. I have also led multiple enterprise demos with organizations evaluating AI adoption at scale.I am based in New York City.

Experience

1. Enterprise Solutions Associate

   Invisible Technologies

   Oct 2025 — Present · New York, NY, US

   Drive the implementation of AI powered systems within large enterprise organizations, delivering measurable improvements in operational efficiency, scalability, and decision quality- Lead and support generative AI implementations across enterprise use cases, enabling automation of complex workflows and knowledge driven processes- Apply AI product management principles to define requirements, scope solutions, and guide AI systems from concept through production deployment- Design and support agentic AI implementations, including multi step and human in the loop workflows, to operationalize AI within real world enterprise environments- Translate complex enterprise business needs into deployed AI solutions aligned with operational constraints and clearly defined success metrics- Partner with senior stakeholders to ensure AI initiatives are practical, scalable, and directly tied to business outcomes- Collaborate cross functionally with product, engineering, and delivery teams to deploy production ready AI solutions across multiple enterprise engagements.

Education

• Analyst Academy

  Advanced PowerPoint for Consultants, PowerPoint

• Stanford University

  Product Management Program , Product Management

• Skidmore College

  Bachelor's degree, Business Administration and Management, General

• Linkedin Learning

  Microsoft Excel

• Udemy

  2022 Complete Python Bootcamp From Zero to Hero in Python