Headline

AI Product Manager | 0-to-1 GTM Strategy, Agile Delivery & Cross-Functional Execution | B2B SaaS I Results that matter

About

I'm an Associate Product Manager translating complex customer problems and user insights into shipping software. At Aunix AI, I own product end-to-end: writing detailed PRDs with user stories and acceptance criteria, conducting user interviews to identify onboarding friction points, and building product analytics frameworks that track adoption and activation metrics. I implemented automated LangSmith evaluation runs as a product analytics layer, which is tracking a projected 25-30% increase in workflow adoption and a 30-35% reduction in delivery variance. My background bridges product and analytics: I conduct 1:1 user interviews and surveys, run retention funnel analysis to inform feature prioritization, and stay current on competitive workflow automation trends. I coordinate cross-functional delivery across engineering, design, and QA in daily standups and sprint planning, removing blockers and maintaining momentum. I'm most energized by translating user pain points into clear product requirements the kind that don't require back-and-forth, because the engineering team can build it without ambiguity. Open to connecting with people working on AI/SaaS product strategy, user research, or product analytics.

Location

India

AI stack

claude

cursor

Work experience

Associate Product Manager at Aunix.ai, Feb 2025 - May 2026 · 1 y 3 mo, Hyderabad, Independently owned and managed assigned product features and workflows end to end — analysing business problems, writing PRDs and functional specs, managing work items in Jira, coordinating with engineering and QA, and validating delivered features through structured UAT.

Product Manager at Aunix AI, Feb 2025 - May 2026 · 1 yr 4 mos, Hyderabad, Telangana, India, PRD Authorship & Feature Definition: Write detailed PRDs with user stories, acceptance criteria, and edge-case definitions; translated customer pain points from user research into implementation-ready requirements that reduced engineering back-and-forth and maintained documentation accuracy through the SDLC Collaborate in daily engineering standups, grooming sessions, and sprint planning; track feature progress, clarify requirements to remove blockers, and coordinate delivery across engineering, design, and QA teams User Research & Customer Empathy: Conduct 1:1 user interviews and surveys with enterprise partners; identified that onboarding complexity was causing drop-off before users reached core value, documented findings into a prioritized problem list, and converted insights into product requirements that drove a full redesign Run structured competitive research across workflow automation platforms; generated data-backed feature recommendations that influenced product direction across two sprint cycles Product Analytics & Metrics: Built a three-level KPI framework tracking adoption, activation, and feature usage; implemented automated LangSmith evaluation runs as a product analytics layer to monitor feature performance and track retention trends, projecting 25-30% increase in workflow adoption and achieving 30-35% reduction in delivery variance Design and run user acceptance testing (UAT) before major releases; created 25+ structured test scenarios covering core journeys, edge cases, and integrations; coordinate feedback and ensure quality standards before shipping

Management Trainee at GeXAGI, Jan 2025 - Feb 2025 · 2 mos, Bhubaneswar, Odisha, India

Education

PGDM, Business analytics, JAGSoM - Jagdish Sheth School of Management

Bachelor's degree, B.Com, NIST University