Spurthi Kommajosula.
Product Manager specializing in self-service platforms, data andAI governance, and product-led growth.
Turning complex data and AI systems into trusted, scalable products.
👋 Hi, I’m Spurthi!
🗣️ Spoo-r-th-ee
I build data and AI platforms from 0→1 and scale them, owning product strategy, commercialization, and go-to-market execution for complex, cross-functional environments. I specialize in turning ambiguous problem spaces into clear product direction and scalable systems.
At IBM, I’ve led multiple 0→1 launches across data and AI, including a data marketplace that influenced portfolio strategy and standardized how data is shared, governed, and consumed across the enterprise. Before product management, I worked in consulting (finance transformation, revenue management) and corporate finance.
Career Highlights:
🚀 I scale and manage 0→1 products:
From early launch to enterprise adoption, shaping platforms that teams actually use.
🎯 I turn ambiguous problem spaces into clear product bets:
Defining the right problem, aligning teams, and driving focus in complex, high-stakes environments.
⚖️ I balance platform flexibility with governance:
Designing scalable systems that are both adaptable for users and compliant with enterprise standards.
🔗 I bridge product strategy, analytics, and execution:
Connecting technical depth, user needs, and business outcomes to deliver impactful, enterprise-grade solutions.
Core Product Management Expertise
Strategic Management
Lead alignment across engineering, design, GTM, and executive stakeholders by articulating clear product principles and success metrics.
Navigate competing priorities by making explicit trade-offs and driving decisions in complex, cross-org environments.
Stakeholder Management
Synthesize qualitative feedback, usage data, and market signals to identify patterns that inform product direction.
Translate these insights into clear bets on where to invest, simplify, or evolve the platform over time.
Project Execution
Manage high-stakes customer relationships and escalations by grounding discussions in product vision, roadmap constraints, and value delivery.
Turn friction into momentum by resetting expectations and delivering focused outcomes that rebuild trust.
Voice of Customer
Drive execution across interconnected systems by defining MVPs that validate direction quickly and MLPs that enable real adoption.
Balance speed with quality, reliability, and compliance to ship products ready for enterprise scale.
Education
2025
University of Cambridge - Leverhulme Centre for the Future of Intelligence
Mst. AI Ethics & Society
2021 - 2022
Queen’s University - Smith School of Business
Masters of Management Analytics
2014 - 2018
University of Toronto - Rotman Commerce
Bachelors of Commerce
Beyond the Work
Want to Connect?
I'm always open to conversations about data and AI governance, ethical AI, mentoship - let’s talk.
