---
title: "Hrishikesh S. - Senior Technical Product Manager in Bengaluru | Tal"
description: "Meet Hrishikesh S., Technical Product Manager @Zintlr | AI Agent Orchestration (LangGraph & PydanticAI) & Full-Stack Builder (Claude Code) | AdTech Infra (sGTM & CAPI) | Fraud Tech & Signal Resilience Expert | 0→1 SaaS & Enterprise Infra based in Bengaluru. AI stack includes anthropic apis, antigra..."
image: "https://tal.club/meet/hrishikesh-sarode/share-image"
---

# Hrishikesh S\. on Tal

## Headline

Technical Product Manager @Zintlr \| AI Agent Orchestration \(LangGraph & PydanticAI\) & Full\-Stack Builder \(Claude Code\) \| AdTech Infra \(sGTM & CAPI\) \| Fraud Tech & Signal Resilience Expert \| 0→1 SaaS & Enterprise Infra

## About

I bridge the gap between high\-level strategy and production\-grade architecture\. I specialize in the "plumbing" of the modern AI and AdTech stacks, translating technical complexity into high\-impact revenue outcomes\. Current Focus: AI & Fraud Tech \(ZIGRAM\) I lead greenfield development of agentic ecosystems, leveraging LangGraph, PydanticAI, and MCP to build autonomous enterprise workflows\. \- Flagship Project: 'Fraud Fighter' — A real\-time, AI\-driven fraud scoring system for high\-velocity transaction monitoring\. The AdTech Edge: Signal Resilience \(Datahash & Media\.net\) Expert in the "Post\-Cookie" era\. I architect server\-side infrastructures that preserve data integrity in a privacy\-first world\. \- Datahash: Launched a Meta\-recognized CAPI Gateway, scaling a 90\+ integration platform\. \- Media\.net: Optimized global programmatic monetization and high\-frequency auction logic\. Technical Stack & Expertise \- AI Orchestration: LangGraph, PydanticAI, Model Context Protocol \(MCP\), Multi\-agent workflows, Durable execution\. \- Signal Resilience: sGTM \(GCP Cloud Run\), Conversions API \(CAPI\), EMQ Optimization, First\-Party Signal Preservation\. \- Programmatic: OpenRTB Protocols, Header Bidding, SSP/DSP yield optimization\. \- Infra & Dev: Python, Full\-stack JS/TS, GCP, BigQuery, Snowflake, REST/GraphQL\. My goal is Production\-Grade Impact\. Whether I'm building a multi\-agent system or salvaging AdTech signals, I focus on the engineering that drives the bottom line\.

## Location

Bengaluru

## AI stack

anthropic apis

antigravity

claude code

claude

elevenlabs

hugging face

## Work experience

Senior Technical Product Manager at Zintlr, Aug 2026 \- Present · 3 mos, Bengaluru

Associate Product Manager at ZIGRAM, Jan 2026 \- Jul 2026 · 7 mos, Gurugram, \- Leading the end\-to\-end product lifecycle for next\-gen AI application, focusing on greenfield development and autonomous agent orchestration\. \- Product Ownership: Building 'Fraud Fighter' from the ground up, managing everything from initial discovery and architecture to full\-stack deployment\. \- AI Orchestration: Pioneered 'Vibe Coding' methodologies for enterprise\-grade applications, utilizing Claude Code as a central development brain to accelerate GTM\. \- Technical Innovation: Custom\-engineered the 'Antigravity Zapier Figma MCP' to bridge the gap between design, automation, and workflow orchestration\.

Technical Product Manager at Datahash, May 2024 \- Dec 2025 · 1 yr 8 mos, Remote, \- Built the Connectors Platform end\-to\-end, scaling to 90\+ live integrations adopted by enterprise clients and supporting a multi\-million ARR customer segment across US/EU markets\. \- Launched Meta Conversions API Gateway and Signals, becoming a Meta\-recognized solution and unlocking a high\-volume pipeline of new advertiser accounts for commercial teams\. \- Shipped a config\-driven connector UI framework that cut UI build time from days to hours, accelerating customer\-facing releases and shortening integration onboarding cycles\. \- Built GPT\-powered automation to generate structured PRDs across FE/BE/API scopes, significantly reducing planning latency and improving cross\-team clarity pre\-development\. \- Designed and rolled out an AI\-driven workflow layer to eliminate manual product ops work, increasing delivery speed and execution consistency across teams\. \- Drove product discovery with US/EU customers, translating technical constraints and go\-to\-market needs into roadmap decisions that improved adoption and time\-to\-value\. \- Launched integration infrastructure upgrades that reduced redundant API usage and improved partner\-side reliability, lowering integration churn across enterprise accounts\. \- Built repeatable processes for UAT and QA in connector releases, reducing post\-launch defects and raising confidence for customer\-facing deployments\. \- Standardized product documentation and internal handoffs to de\-risk delivery and align engineering, QA and solutions teams around release readiness\. \- Partnered with leadership on GTM motions tied to new integrations and CAPI offerings, enabling faster sales qualification and improving conversion on inbound opportunities\.

Product Analyst at Media\.net, Feb 2021 \- May 2024 · 3 yrs 4 mos, Mumbai Metropolitan Region, \- Working on multiple ad\-tech products such as Header Bidding, Prebid, Managed Prebid, Exchange Bidding and Programmatic Media Buying\. \- Successfully identified and resolved codebase page load issues, resulting in a notable 25% increase in loading speed\. \- Demonstrated strong leadership and problem\-solving skills while collaborating with cross\-functional teams to drive performance improvements\. \- Leveraged technical expertise and UX knowledge to implement solutions, enhancing the team’s productivity and overall performance\. \- Extracting and analysing data from SQL and in\-house Hive based database system, to share useful insights with key stakeholders\. \- Work with internal BI tools for querying, cleaning, analysing large amount of data and building dashboards for monitoring and analysing stats and KPIs of the products\. \- Troubleshoot technical issues related to ad serving, discrepancies, publisher onboarding, DSP onboarding, along with setting up processes to expedite the same\. \- Closely working with Product Managers through initial stages of a product life\-cycle and bug fixes\. \- Proactively identified operationally heavy processes\(manual process\) and automated them resulting in faster deliverable submissions\.

## Education

Bachelor of Engineering \(BE\), Computer Engineering, University of Mumbai

## Public links

- github: https://github\.com/pyhrishi

[View the original profile](https://tal.club/meet/hrishikesh-sarode)

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