Product Leader · AI, AdTech & Growth · Bengaluru
Product leader with 9 years across consumer, AdTech, AI and growth, building new products and scaling platforms to 100M+ users.
Currently leading AI and advertiser products at Hypergro.
Director of Product Management 2023 — Present 
Product Manager 2020 — 2023 
Decision Scientist 2017 — 2020 Group Product Manager · Staff Product Manager · Lead Product Manager · Director of Product Management
What I Work On
I translate complex customer workflows into clear product requirements, align the people involved and build the smallest useful product that can improve the result.
Conversational and agentic products that turn real customer workflows into reliable, measurable experiences—not simply impressive demos.
Finding the wedge, translating customer workflows into requirements, aligning stakeholders and building the first repeatable production loop.
Activation, ranking, retention and experimentation across products used by tens of millions of people.
Publisher and advertiser systems: ad inventory, media buying, pacing, creative performance and monetization.
The Product Core
The visible AI layer is only the crust. Underneath it is a repeatable product discipline built on first principles, evidence, user empathy and the fundamentals of making good product decisions.
See This In Shipped WorkStart with the real decision: whose behaviour should change, what problem matters and what must be true for the solution to work.
Behavioural data shows what is happening; conversations and context explain why. I use both before choosing what to build.
Discovery, strategy, prioritisation, experimentation and stakeholder alignment turn insight into a product a team can ship and improve.
Working prototypes, RAG, evaluations, voice agents and automation are applied when they make the experience or workflow meaningfully better—with clear expectations and human judgment when needed.
Capabilities & Toolkit
I translate customer workflows into testable experiences—from platforms and onboarding to voice agents, registration bots and agent automation. That includes defining requirements and success metrics, shaping conversation design and microcopy, mapping API and webhook integrations, and learning from production signals.
Product Work · 9 Case Studies
Every case study names the problem, my ownership, the hard decision and the measured result.
When the project carousel is focused, use the Left and Right Arrow keys to browse, or Home and End to jump to the first and last projects.
View All 9 Case Studies With Full DetailsSelected Outcomes
Open each result to see what I changed and what I owned.
Connected generation to CPI, CTR and ROAS signals.
Director of Product Management; product strategy through execution.
Cut creative production time 50×.
RAG-grounded voice-agent qualification with conversation design and human handoff.
Owned the growth journey, AI workflow, microcopy and cross-functional delivery.
3× demo entries and 46% higher lead-to-demo conversion.
Rebuilt onboarding around time-to-first-value.
Led product, design and engineering around the activation metric.
Lifted activation from 31% to 58%.
Ads platform and command center for brands, creators and operations.
Head of Product for the three-sided marketplace.
Improved on-time delivery to 95% alongside 48% QoQ revenue growth.
Re-architected ranking around interest graphs and experimentation.
Product manager for ranking, discovery and monetization surfaces.
Lifted time spent from roughly 100 to 400 seconds.
Regression-based diagnosis across 187K customers.
Decision scientist from raw data to commercial recommendation.
Identified €224M upside and helped prevent €14M leakage.
Experience
Turned data into commercial decisions—including €224M in identified retail upside.
Built ranking, video and monetization systems across a 100M+ MAU ecosystem.
Leads conversational AI, advertiser and marketplace products from 0→1 through scale.
Thinking In Public
Practical essays based on products I have built and decisions I have had to make.
Why evaluation should begin with the user decision an AI product must improve—not a benchmark assembled after launch.
Why 0→1 teams need one plan for customer learning and another for the commitments required to scale.
How clear decision rights, shared evidence and escalation paths help teams move faster.
Beyond The Roadmap
Outside work, I sketch, play badminton, follow cricket and spend time with startup communities. Hypergro was part of the 2024 Google for Startups Accelerator: AI First cohort, which brought us together with founders and teams building practical AI products.
HIRING A PRODUCT LEADER OR BUILDING A NEW AI PRODUCT?
Prefer email? shishirkantbhuyan@gmail.com
