Senior Engineering Manager
Summary
	Led the Audience Platform Engineering charter by defining and executing a 3-year roadmap aligning with business vision & strategy
	My team owns multiple products under the Audience platform umbrella and is responsible for ingesting ~10 TB of data every day and serve it real-time during Ads bid time with 25B requests / day
	Re-architected the data layer to enable enterprise data governance and compliance adherence (GDPR, CCPA) and set up data observability by adopting Lakehouse architecture on Snowflake using Iceberg
	Successfully led & delivered a Contextual Targeting Platform by leading cross-geographic teams which delivered direct incremental revenue of over $100M this year
	Built and scaled Samsung Panel solution for 5000 households in the US
	Successfully built a Business Intelligence platform and semantic chatbot for Ads business using DBT, Cube.dev and LangGraph on top of Snowflake. Drove adoption with Analytics, Business, Product & Sales org
	Led the first GenAI based end-user facing use-case of Audience Building in Samsung Ads to GA using CrewAI with focus on Agentic workflows, LLMOps and Guardrails
	Introduced trainings, frameworks and processes in the team and led by example to ensure more than 50% of code contributions utilize AI Coding assistants in the team
	Built an Experimentation framework (A/B testing) for measuring Feature impacts on key Ad delivery metrics quickly and with confidence
Expectations
I am looking for an opportunity to leverage my 15 years of experience in the data world to design/revamp the Data & AI strategy of an organization to enable building cutting-edge solutions for the users. I will also leverage my 5+ years of Leadership experience to build a hogh-perdormance agile teams to convert this strategy to reality
Employment Preferences
Expected Base Salary
*,*00,000 INR
Expected Total Compensation
**,000,000 INR
Academic Degree
Experience
Total Professional Experience
Startup Experience
Big-Tech Companies
Enterprise Experience
Skills
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