I build AI products from zero to one, and I teach others how to do the same.Over 12+ years, I've taken AI/ML products from proof-of-concept to launch at Amazon, Nike, T-Mobile, and Disney. The work I love most is early-stage: validating ideas, getting executive greenlight, and shipping MVPs that prove value before scaling. At Nike, that approach drove a $100M annual reduction in product returns.I also teach what I build. I co-created and lead the AI Product Management Certificate at the University of Washington, where experienced PMs ship real GenAI products complete with evaluation plans and GTM strategies. Previously, I trained 4 cohorts at Product School.What I bring: the ability to translate messy AI capabilities into clear product value, align technical and business stakeholders, and move fast without breaking trust. I write about AI PM craft at aipmguru.substack.com.I'm currently exploring opportunities to lead 0→1 AI product work at companies solving meaningful problems. I'm especially energized by AI in healthcare and education, though I'm open to any domain where the product can genuinely improve lives. 

Shaili Guru

I’m a Product Manager with 5+ years of experience building AI-driven and data-centric products across healthcare, supply chain, and financial services. I specialize in turning complex workflows into simple, scalable solutions  whether it’s reducing onboarding time, improving decision support, or transforming raw data into clear product insights.

At PartnerLinQ, I lead end-to-end product execution for enterprise clients, owning discovery, roadmapping, feature design, and launch. I’ve shortened onboarding time from 6 weeks to 3, executed a zero-defect migration of 1.2M+ records into Dynamics 365, built analytics dashboards across 10+ modules, and delivered six consecutive releases with zero critical bugs. My work is driven by real customer feedback, tight collaboration with engineering and QA, and a strong foundation in analytics (SQL, Python, Power BI, Amplitude, Mixpanel).

Previously at UnitedHealth Group, I helped design AI-enabled care navigation tools and a member-risk prediction engine that supported 3,000+ member interactions and reduced manual review by 10,000+ tasks per month. I partnered closely with clinicians, engineers, data scientists, and operations teams to translate clinical workflows into clear product requirements and deliver 11+ feature enhancements tied to strategic OKRs.

My early career at Goldman Sachs strengthened my fundamentals in data quality, automation, and operational excellence  skills that shaped the disciplined, detail-oriented product manager I am today.

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