srijita User
@srijitauser
Data-driven AI Product Manager building 0-to-1 agentic SaaS and conversational systems with measurable impact.
What I'm looking for
I’m a data-driven AI Product Manager with cross-functional experience shipping 0-to-1 SaaS platforms, Voice AI systems, and automated conversational workflows. I translate complex user needs into structured PRDs and crisp acceptance criteria that move teams from spec to build.
In my current role at TradeVed, I led end-to-end delivery of the first product—a trading-education module from PRD through launch. I authored 7+ PRDs, optimized LLM/prompt architecture to cut AI output failure rates by 25%, and integrated Razorpay plus live broker paper-trading data feeds for real-time simulated trading.
I also built and integrated 3 AI-driven conversational bots (Telegram, WhatsApp, and an in-app chatbot) across 7–8 total AI agents, cutting cross-team communication overhead by 30%. Earlier, at Jinn.live, I redesigned multi-step workflows and prompt architecture to lift user success rate by 15 points (20% to 35%).
I enjoy combining product discovery with rigorous measurement—diagnostic funnel analysis, cohort insights, and A/B testing—to drive growth partnerships and GTM execution. I’m also a published AI researcher, with certifications spanning Scrum, Agile, and an IBM AI Product Manager program (in progress).
Experience
Work history, roles, and key accomplishments
AI Product Manager
TradeVed
Feb 2026 - Present (5 months)
Led TradeVed’s end-to-end launch of a trading-education module, authoring 7+ PRDs and defining roadmap/acceptance criteria to move engineering from spec to build within 2 weeks. Built and integrated 3 conversational bots, integrated Razorpay and live broker paper-trading data feeds, and drove GTM partnerships with training institutes to generate early traction.
AI Product Manager Intern
Jinn.live
Nov 2025 - Jan 2026 (2 months)
Evaluated AI outputs and performed diagnostic funnel analysis to identify failure modes and drop-off points, reducing AI output failure rate by 25%. Redesigned LLM prompt architecture and multi-step workflows to increase user success rate from 20% to 35% (15-point lift) and authored PRDs and acceptance criteria to standardize delivery across teams.
Product Analyst
Pacific Business Solutions
Aug 2025 - Nov 2025 (3 months)
Conducted customer and market research and translated findings into structured product requirements that contributed to a 15% increase in sales and order volume. Coordinated end-to-end delivery of the company website, aligning messaging and structure with target segments and GTM execution.
Product & Growth Intern
Vstarts
Sep 2024 - Aug 2025 (11 months)
Owned early-stage 0-to-1 product and growth strategy and contributed to the startup’s selection into CU-TBI and ISB incubation programs. Used user research, competitive analysis, and funnel analysis to prioritize features and align the roadmap with acquisition and activation OKRs, and supported outreach/pitch development.
Education
Degrees, certifications, and relevant coursework
Chandigarh University
Bachelor of Engineering, Computer Science (AI & ML)
2022 - 2026
B.E. in Computer Science (AI & ML) at Chandigarh University (Aug 2022–Jun 2026).
Availability
Location
Authorized to work in
Portfolio
github.com/moondasiesJob categories
Skills
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