Piyush Marghade

- Established company vision, business model, and go-to-market strategy for AI-powered B2B SaaS platform; raised $2.5M+ seed funding from tier-1 VCs in Q1 2025. - Defined technical architecture and AI/ML component requirements; recruited and hired 5-person engineering team while maintaining hands-on contribution to core product development. - Led product strategy and feature prioritization, synthesizing customer discovery insights from 50+ conversations into product roadmap focused on achieving product-market fit within 12 months. - Built investor relationships and narrative around company differentiation, AI capabilities, and market opportunity; successfully closed seed round with prominent AI-focused venture partners. - Established company culture, operational processes, and decision-making frameworks for early-stage startup scaling from 0 to 8 people in first year.

- Oversaw product roadmap execution and sprint planning for 8-person engineering team building AI-powered software development platform, delivering 12 major features and 40+ improvements on schedule. - Established technical project standards, design review processes, and deployment procedures that reduced production incidents by 60% and improved code review cycle time from 5 to 2 days. - Partnered with product and design to translate customer feedback from 100+ beta users into validated feature requirements and technical specifications. - Managed technical dependencies and integration challenges across 3 product teams, facilitating weekly syncs that resolved blocking issues and kept 95% of features on critical path. - Drove performance optimization initiatives that improved platform latency by 45%, directly improving user experience metrics and reducing customer churn by 8%.

- Led product strategy and go-to-market initiatives for GPT API products, managing $50M+ revenue stream and maintaining partnerships with 500+ enterprise and developer customers. - Defined product requirements and success metrics for 5 major feature releases, balancing technical feasibility with market demand; features reached 1M+ monthly active users within 6 months.

- Managed end-to-end project execution for 15+ concurrent initiatives spanning product development, infrastructure upgrades, and organizational scaling efforts during period of 10x user growth. - Established project governance framework and PMO processes adopted across 120+ person organization, reducing project delays by 40% and improving stakeholder communication. - Coordinated cross-functional roadmap planning with product, engineering, design, and business teams, synthesizing priorities from 50+ monthly feature requests into prioritized quarterly releases. - Implemented project tracking and resource allocation systems that optimized team capacity utilization and reduced context-switching overhead by 30%. - Supported company scaling from 30 to 300+ employees by defining organizational workflows, onboarding processes, and inter-team communication protocols.

- Analyzed machine learning model performance metrics and business KPIs for 8+ client projects, translating technical outputs into actionable product recommendations that improved model accuracy by average 12-15%. - Collaborated with data science and engineering teams to define requirements for predictive analytics features, resulting in 3 successful product launches across financial services and e-commerce verticals. - Conducted market research and competitive analysis on emerging AI/ML technologies, producing quarterly trend reports that informed product roadmap decisions for executive stakeholders. - Developed documentation and training materials for ML-powered features, ensuring adoption across customer base and reducing support tickets by 25%. - Owned product lifecycle management for 2 AI/ML modules, from concept through post-launch optimization, managing cross-functional teams and achieving 95% on-time delivery.