Prem Dutta

AI product leader with 8 years in product and 9 in technology, with a track record of taking products from zero to one and scaling them. Most recently built Trinetra, an AI video production platform at Zee, from nothing to ₹2 Cr (~$230K) in enterprise revenue within 90 days - no existing product, team or customer base. Before that I led a team of 5 product managers and APMs at Aftershoot across lines that took ARR from $3M to $13M (4.3x), serving 33K+ paying customers in 50+ countries.

I have built and launched five products end-to-end across enterprise SaaS, consumer and marketplace models. B.Tech in Computer Engineering.

Director, AI Product Lead - Zee Entertainment Enterprises Ltd. - Delhi NCR, India

(2026-03)

• Took Trinetra from zero to ₹2 Cr (~$230K) in enterprise revenue within 90 days - no existing product, team or customer base. Owned P&L, pricing, model portfolio, commercial terms and go-to-market, and led 15 direct reports across engineering, ML, design and content production.
• Scaled AI content production to 6-7 finished minutes per day and 3 complete microdramas per month - script to dubbed, lip-synced video at ₹12,500 per finished minute, a 4-8x cost reduction against traditional production.
• Found that raw model acceptance ran 20-40%, making retakes rather than generation price the core cost driver. Shipped RAG-based prompt rewriting, storyboard-first approval and prompt caching (90% token cost reduction), shifting the goal from cheaper generation to right on the first attempt.
• Signed Zee's content division as anchor account, negotiating IPR assignment, confidentiality and content-access governance directly with legal, then extended the model to independent studios and won a pilot with Big FM (60+ national stations).
• Defined the core product, Vidya - a conversational agent where creators describe a scene in natural language and the system proposes studio-grade prompts, then generates video with dialogue, music and lip-sync - replacing a fragmented five-tool workflow with one surface, including a browser-based dubbing pipeline built after partner interviews identified dubbing as the highest-friction step.
• Architected a multi-provider strategy across 11 providers and 15+ models with priority-based fallback routing and config-driven rollout, absorbing two provider outages with zero user impact. Built the evaluation framework scoring quality, latency, cost per generation, policy reliability and language support that drove provider selection.
• Designed multi-tier usage-based pricing across creator, agency, enterprise localization and reseller segments, decoupling customer price from volatile vendor cost. Defined content safety and governance: automated moderation, real-person detection and copyright-safe music policy.
• Shipped two adjacent products - an in-house music generation tool replacing licensed music APIs, and an AI script analysis product producing ROI, casting and budget forecasts with automated quality gates.

Product Manager - Aftershoot - Noida, India

(2023-07 - 2026-03)

• Led a team of 5 product managers and APMs, owning strategy, roadmap and P&L for Culling, Editing and Retouching - the product lines that took ARR from $3M to $13M (4.3x) across 33K+ professional photographers globally.
• Lifted trial-to-paid conversion 39% by rebuilding the Culling and Editing workflows on the back of 100+ user interviews: simpler journeys, contextual guidance, less UI.
• Launched Creator Marketplace 0-to-1 in 8 weeks with 10 creators and 30+ edit styles; lifted NPS from 63 to 89 and Editing-funnel conversion 43%.
• Cut churn 27% via cohort-targeted win-back programs for 30- and 60-day inactive users, targeted by plan, geography and usage pattern.
• Worked with the ML team to optimize on-device inference for culling models, improving model performance 32% and cutting compute cost $150K a year.
• Shipped OTA update infrastructure, taking latest-version adoption from 37% to 72%; took Tethering from concept to beta in 8 weeks, acquiring 3K+ early adopters.
• Ran delivery across a 15-person cross-functional group spanning engineering, ML, design and marketing in two time zones.

Technical Product Manager - Monotype Imaging - Noida, India

(2022-03 - 2023-06)

• Owned Search and WhatTheFont, the ML-powered font identification tool, serving millions of discovery queries across web, desktop and enterprise products.
• Led the roadmap for AI-driven relevance and image-based identification with ML, infrastructure, design and licensing teams, improving accuracy 25-30% and cutting time to discovery 40%.
• Drove 24% uplift in font-discovery-to-licensing conversion, raised NPS from 55 to 90, and built Search as a Service on Algolia - a shared platform adopted across several internal and customer-facing products.

Product Manager - Talentopedia - Gurugram, India

(2019-01 - 2022-03)

• Joined as the first product hire, promoted from engineering, and built the product function from scratch - hiring and managing front-end, back-end and QA engineers and establishing the development process.
• Launched web and mobile 0-to-1, scaling to 8K DAU and 22K MAU at 4.8★ through product-led growth with minimal paid marketing.
• Built a lead management engine generating ₹80L revenue in its first two months; grew organic traffic 47%.
• Improved retention 30% year on year and cut onboarding drop-off 18%, driven by 50+ user interviews.

Front-End Developer - Talentopedia & Hammock Ventures - Gurugram, India

(2017-08 - 2019-01)

• Built high-performance platforms (40% faster load times, 26-40% traffic growth) and booking and payment systems that lifted conversion 18%.

B.Tech - Computer Engineering - Bharati Vidyapeeth's College of Engineering (2013 - 2017)

Certified Digital Product Manager - Product Growth Series: Acquisition, Retention, Monetization