Anish Verma
Ai Product Manager @Creator.co
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WORK HISTORY
Ai Product Manager @Creator.co
Vancouver, BC, CA
Owned the AI Campaign Builder end-to-end, leading discovery, PRDs/specs, and delivery in close partnership with engineering to ship AI-driven workflows for creator-brand campaigns- Designed and evolved AI system architecture, spanning LLM orchestration, MCP-style agent workflows, data lake integrations, and production-ready AI pipelines- Contributed to AI Search and discovery, including prompt engineering and iteration on relevance, usability, and creator/brand intent matching- Drove structured user discovery and interviews, introducing product processes to translate qualitative insights into concrete roadmap and feature decisions- Supported company-level strategy beyond core product, contributing to IP strategy development and fundraising materials in collaboration with leadership- Partnered with founders on IP positioning and investor narratives, aligning AI product capabilities with long-term defensibility and fundraising strategy.
EDUCATION
Harvard Medical School
Certificate of Achievement in Pharmacology - Drug Discovery and Development
University of Guelph
Master of Science - MS (Transition to Industry), Physics
Windermere Secondary
Dogwood
Simon Fraser University
Bachelor of Science Honours, Chemical Physics Honours, Nuclear Science Minor
ABOUT ANISH VERMA
I build and scale products at the intersection of AI, quantum computing, and high-performance simulation, translating complex research into tools that deliver measurable value.Over the past several years, I’ve led 0-to-1 initiatives across deep-tech domains: launching AQChemSim at SandboxAQ (a Google / Alphabet spin-out), shaping QEMIST Cloud and the Tangelo SDK at Good Chemistry Company, and now serving as Founding Head of Product at Liberata, a Duke-affiliated startup reimagining how academic research is reviewed, replicated, and credited through AI-driven platforms.My background spans quantum algorithms, computational physics, and data science, with published research in hybrid quantum-classical optimization (Review of Financial Economics, 2025) and earlier work on Quantum Monte Carlo methods. I’m PMP and PSM certified, and I bring a systems-engineering mindset to product strategy, combining rigorous analytics with thoughtful design and storytelling.I’m most energized by proof-of-value work: helping organizations move from abstract potential to validated impact. Whether that means reducing simulation runtimes, improving discovery pipelines, or bringing new AI workflows into production, I focus on building products that make innovation tangible, scalable, and real.
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