Sushant Chhetry

About

I specialize in building and scaling products at the intersection of AI and real-world user problems. I blend classical product rigor with hands-on AI prototyping and rapid experimentation. At SmartWiz, I architected modular GenAI solutions that helped teams ship faster and validate features with real users, cutting prototyping time by 3x and reducing onboarding friction by 40%. I’ve led 50+ user interviews, run iterative design partner programs, and orchestrated beta launches that moved activation, retention, and time-to-first-value. My superpower is translating messy feedback and ambiguous "AI opportunities"into clear, high-impact product bets—keeping user value first while using GenAI as a force multiplier. I work best in teams obsessed with impact, data, and velocity, where AI is a true business driver, not just a badge.

Experience

• Product Manager – AI Applications · SmartWiz.io2024-05-01 –

  Led Modular GenAI Solutions for SaaS • Led product planning and delivery for AI-powered tax-tech features, balancing speed, customer needs, and feasibility • Shipped modular AI "building-blocks"(prompting, RAG, evals, agent orchestration) enabling teams to prototype features 3× faster • Reduced implementation time for new endpoints by 50%+ using AI-assisted development (Copilot, Claude Code) • Introduced data-informed prioritization and lightweight PRD format; improved cross-team clarity and execution velocity • Drove onboarding and workflow UX improvements across document and profile flows to reduce time-to-first-value

• GenAI Application Engineer · SmartWiz.io2024-01-01 – 2024-05-01

  Application Engineer – AI (Jan 2024 – May 2024) • Architected end-to-end prototypes from high-level briefs; made rapid UX decisions to deliver functional interfaces without heavy specs • Built real-time feedback loops and evaluation suites surfacing actionable insights for product and engineering • Created internal prompt libraries and guardrails; ran bi-weekly "AI Show & Tell"to align the org on GenAI best practices • Partnered with PMs and designers to translate ambiguous problems into shippable, measurable product increments

• Product Manager (AI/0→1) · PuMi2025-01-01 –

  AI-First Product Strategy / Builder • Built the AI-powered "product brain"that turns messy customer feedback into prioritized product bets for B2B SaaS teams • Drove customer discovery with 50+ founder/product leader interviews; translated insights into a focused MVP and 3 core use cases • Defined product strategy, positioning, and roadmap; aligned solutions around activation, prioritization, and stakeholder visibility • Designed architecture and integrations (Slack, Notion) enabling automatic ingestion and summarization of feedback • Established beta/design partner motion; iterated weekly with pilots to validate value, reduce noise, and accelerate decisions Stack: Slack API, Notion API, LLMs (RAG/embedding), React, Node.js

• Founder in Residence (AI/Startups) · Builders + Backers2024-11-01 – 2025-02-01

  • Tested venture hypotheses through structured customer interviews, rapid experiments, and problem-solution validation • Coached and collaborated with early-stage founders to refine ICPs, value props, and MVP scope • Produced decision memos and prioritization frameworks that informed go/no-go calls and next-step experiments

• Software Engineer (Products Team) · Fast Enterprises, LLC2022-08-01 – 2024-01-01

  • Shipped features in enterprise tax systems; partnered with stakeholders to streamline legacy workflows and reduce manual effort • Led debugging and support for mission-critical services; improved reliability and response times under tight SLAs • Documented processes and change impacts; supported adoption and change management across non-technical users

Education

• Jacksonville State UniversityBachelor's degree, Computer Science

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