Suhas Bhatt
Engineering Leader | AI/ML Platform & Product | Building and Scaling Teams, Systems, and Business Outcomes
- Role
- Senior Engineering Manager at Indeed
- Location
- Bengaluru, KA, IN
- LinkedIn followers
- 500 followers
About Suhas Bhatt
Engineering leader who identifies multi-year platform bets and builds the teams to execute them. At Indeed, I recognized that India\'s hiring market would shift from text-based applications to phone-based and conversational interactions — then built and scaled the platform that enabled 10M+ employer-candidate interviews. When the industry shifted to AI agents, I prototyped Indeed\'s flagship AI recruiter product (Talent Scout) in 4 weeks and grew it into a multi-agent production system serving thousands of employers daily. Equal parts innovator and operator: patent co-inventor who also maintains 99.99% platform availability across 16 production services.Currently leading India\'s Talent Scout engineering organization (2 pods, 10+ engineers, 16 production services) with influence spanning a 30+ engineer calibration org, 5 VP-level stakeholders, and site-wide hiring programs. Established an async-first operating model for US-India distributed delivery across a 10.5-hour timezone gap. 100/100 manager effectiveness score (bi-annual direct report survey). Promoted 5 engineers. Built engineering culture anchored in quality, craft, growth, and ownership.Leadership & Strategy: Team Building (0 to 10+)| Org Design & Headcount Planning | Performance Management & Calibration | Technical Strategy & Roadmapping | VP+ Stakeholder Influence | Engineering Budget & ROI | Build vs. Buy Decisions | Cross-Timezone Distributed Team Leadership | Executive CommunicationAI/ML Strategy: LLM System Design & Evaluation | Agent Architecture (Multi-Agent, HITL, MCP)| Build vs. Buy for AI Capabilities | AI Quality Frameworks (LLM-as-Judge)| ML Model Lifecycle (Training, Evaluation, Deployment)| Prompt Engineering & OptimizationAI/ML Foundations: Natural Language Processing (M.Tech focus)| Information Retrieval | Classification & Ranking Models | Distributed Systems & Microservices | GraphQL & API Design | Event-Driven Architecture (Kafka)| A/B TestingCore Stack: Python | Java/Kotlin | TypeScript | Spring Boot | React | Node.js | LangGraph | OpenAI API | MCP | GraphQL (Apollo, Netflix DGS)| Kafka | MongoDB | Redis | AWS | Docker | Datadog
Experience
Senior Engineering Manager
Jun 2025 — Present
Promoted for \"consistent demonstration of technical leadership, cross-functional influence, and delivery at scale.\" Lead 10+ engineers across 2 pods as the primary India delivery leader for Talent Scout — Indeed\'s AI-powered employer agent platform. Own full product engineering lifecycle across AI-driven recruiter recommendations, outreach automation, AI-powered customer support agent, and advanced sourcing — spanning 16 production services. Influence extends to 30+ engineer calibration org and site-wide interviewer programs. Manager effectiveness score: 100/100 (bi-annual direct report survey).Conceived and solo-built the original Talent Scout prototype in 4 weeks — a working LLM-powered agent with real employer data integration that leadership greenlit for full investment; now Indeed\'s flagship AI recruiter productEvaluated agent orchestration approaches and selected LangGraph for its interrupt-based HITL patterns; architected 6-agent system with GraphQL federation, enabling independent agent deployment across US and India teamsGrew AI recommendation relevance from 54% to 77%+(human-evaluated across recruiter-candidate pairs); achieved 30% sustained recruiter engagement rate — directly driving employer activation on Indeed\'s premium AI productDelivered Invite-to-Apply, Bulk Outreach, Interview Scheduling, and ATS-integrated outreach — +4 percentage-point apply rate uplift vs. baseline IndeedLed AI-powered CS agent from POC to phased production ramp with LLM-as-Judge evaluation gates and kill-switch infrastructure; secured VP and SVP sponsorship by presenting data-backed business caseBuilt team from scratch to 2 pods (10+ engineers); stabilized teams during org restructuring with zero attrition; championed 3 engineer promotionsDesigned Technical Phone Screen interviewer training for entire Hyderabad site — doubled the active interviewer pool, replacing outsourced vendor; conducted 171 interviews personally
Education
International Institute of Information Technology Hyderabad (IIITH)
Master's Degree, Computer Science
2014 — 2016
Sri Jayachamarajendra college of engineering
BE, Computer Science
2008 — 2012
Skills
- Java
- Data Mining
- Eclipse
- Ruby on Rails
- Java Enterprise Edition
- Software Engineering
- Django
- Selenium
- Node.js
- Javascript
- Xml
- Jdbc
- Web Development
- C++
- Machine Learning
- Oop
- Sql
- C
- Python
- Junit
- Data Structures
- Css
- C/C++ Stl
- Unix
- Computer Science
- Web Applications
- Web2py
- Software Quality Assurance
- Git
- Shell Scripting
- Test Cases
- Jira
- Algorithms
- Jenkins
- Test Automation
- Mongodb
- Object Oriented Design
- Manual Testing
- Html5
- Jsp
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