High-stakes marketplace systems
I work across search, profiles, booking, matching, and ranking where users need confidence before they act.
Shreenath Bhanderi
I build high-stakes marketplaces that help people trust hard decisions.
I'm a product lead at Grow Therapy, where I work across search, profiles, booking, matching, and ranking. My work focuses on turning messy decision systems into measurable loops: clearer fit, better trust, lower effort, and stronger outcomes.
The hiring-manager version: Shreenath builds high-stakes marketplace systems where trust, ranking, and decision quality drive growth.
What I Focus On
Trust, ranking, and decision quality.
Trust surfaces that move behavior
I focus on fit, feasibility, trust, and effort: the decision-quality levers that turn intent into action.
Experimentation with signal discipline
I like measurable systems: clear hypotheses, durable tracking, and readouts that separate real signal from local optimization noise.
AI work systems
I am interested in the product layer around agents: persistent context, source-grounded outputs, visible memory, permission boundaries, reusable artifacts, and verification loops.
Where this maps
Three hiring lanes, one throughline.
Marketplaces
Search, ranking, profile quality, trust signals, local liquidity, and booking conversion.
AI work systems
Context, memory, permissions, verification, reusable artifacts, and human approval loops.
High-trust decisions
Healthcare, insurance, financial workflows, and regulated or emotionally loaded choices.
Selected Work
Four examples that show the system behind the outcomes.
45% relative conversion lift across 30+ experimentsMarketplace TurnaroundRebuilt the client marketplace around search, profiles, booking, matching, and decision quality.Open case11+ percentage-point cancellation reductionScheduling and Cancellation ReductionRebuilt scheduling workflows across product and operations to reduce first-appointment drop-off.Open case~11% client retention improvementML Ranking and RetentionReplaced static marketplace ranking with real-time personalized recommendations.Open casePersistent context, verification loops, and human approvalAI Work Homebase / Living ContextA product thesis for persistent workspaces where agents can inspect sources, remember context, ask for permission, and produce reusable artifacts.Open case
For Hiring Managers
A direct map of where I am strongest and where I am most useful.
What I'm strongest at
- Turning vague marketplace problems into measurable systems.
- Finding the few levers that move behavior.
- Designing experiments that separate signal from noise.
- Working across product, design, data science, engineering, marketing, and operations.
- Building trust-oriented decision surfaces in high-stakes categories.
- Thinking through AI workflows where context, verification, and control matter.
Roles I'm most interested in
- Staff / Lead PM, Marketplace
- Staff PM, Search / Ranking / Personalization
- Product Lead, AI Workflows / Agents
- Product Lead, Trust / Risk / Decision Systems
- Group PM for high-stakes marketplace surfaces
Writing
Product thinking on marketplaces, trust, and AI work systems.
The Profile Is About TrustA framework for profile pages in high-stakes services marketplaces.Marketplace DynamicsInteractive models for liquidity, take rate, leakage, and marketplace stage.Living ContextA product thesis for persistent AI workspaces where context compounds.Homebase Building BlocksPrimitives for memory, permissions, dynamic tools, and verification loops.
Impact snapshot
Led Grow's core client marketplace across search, profiles, booking, matching, and ranking for 100K+ monthly bookings.
Increased marketplace conversion by 45% relative, reduced first-appointment cancellations from ~20% to ~9%, and improved client retention by ~11% through ML-powered personalized ranking.