Pankaj Khurana

About Pankaj Khurana

Pankaj is a hands-on technology leader with 20+ years of experience building and scaling customer-centric products. He specializes in designing high-impact systems that combine strong engineering foundations with business outcomes - partnering closely with product, business, and stakeholder teams to drive measurable results. Have built and led strong value and technology driven delivery teams. Currently at Meta, Pankaj leads large-scale systems and AI initiatives that empower creators and partners globally. As a Partner Engineer, he architected and scaled an AI-powered CRM and outreach ecosystem supporting a global team of Media Experts connecting with ~5M creators TAM. His work helped- Drive an 20% growth in content creation across the Meta family of apps- Annual op-ex savings in millions through VoIP + GenAI automation- Enable connections with ~5 million creators worldwide annually- Power billions of dollars in creator payouts by streamlining partner engagement- Improve lead conversion and follow-up accuracy using AI-driven call summaries and sentiment analysis- Improve call quality and coaching using AI driven scoring algorithm on transcripts- Enable multi-channel outreach (VoIP, WhatsApp, SMS, Email) from a single CRM platform- Build a future-proof CRM by integrating Salesforce, Twilio, Outreach.ioPreviously at Google (7+ years), Pankaj worked across Cloud, Data, and Application platforms - earning dual certifications as a Professional Cloud Architect and Data Engineer, along with elite Java & API Readability credentials. With Google, Pankaj wore various hats, developed a variety of apps for top Google customers, utilized extensive stack of tools/technologies such as Java/J2EE, RESTful APIs, Microservices, Kubernetes, GCP (App Engine, Compute Engine, BigQuery, Cloud Sql, BigTable), Apache Beam, Spanner, AoG, DialogFlow, Data Studio, Google APIs, Angular 2, vue.js, Firebase, Proto Buffers, gRPC etc. Before Google, Pankaj worked with various companies on a variety of applications such as client-server application, open source API, scheduled Batch/Stream processing and ETL transformations. Tools/technologies include: Java/J2EE, Spring Suit (IOC, AOP, Spring Batch, AMQP, Spring MVC), Hibernate 3, Struts, CXF, OsWorkflow, Talend Data Integration.Tech Stack HighlightsAgentic AI • LLMs • RAG • Vector Databases • NLP • Prompt Engineering • LangChain • PyTorch • React • GraphQL • Hack/PHP • REST • gRPC • Kubernetes • Distributed Systems • Data Pipelines • VoIP • WhatsApp API • CI/CD • Observability • Cloud Infrastructure

Experience

1. Sr Staff Engineer, Global Content Partnerships

   Meta

   Aug 2024 — Present · New York, NY, US

   Lead the Partner Engineering team supporting GTM (go-to-market) strategy for top Meta priorities such as Reels,Meta-Verified, AI Studio, and Partnerships Ads etc - driving scaled partnerships operations.> Led the multi-year CRM revamp and unification strategy for global/scaled partnerships teams, streamlining workflows, improving data visibility, and enhancing collaboration across regions.> Designed and implemented an agentic, AI-powered multi-agent chatbot to drive partner acquisition, activation, and support - accelerating the organization’s transition to an AI-native operating model and showcasing technology readiness for future scale.> Developed multiple outreach channels - including Meta branded VoIP calls, SMS, WhatsApp, email, and app notifications - to enable internal teams to effectively connect with partners/creators.> Enhanced outreach channels with AI-powered capabilities - including real-time interaction logging and sentiment analysis - enabling partnership teams to prioritize leads by engagement quality.> Orchestrated the India VoIP expansion and dual-vendor strategy, collaborating cross-functionally and navigating complex compliance, privacy, and security requirements.> Migrated calling infrastructure to Twilio, enabling advanced features such as call recording and GenAI transcript summarization.> Built a scalable lead management system supporting Meta priorities (Reels, Meta Verified, AI Studio, Partnerships Ads), distributing thousands of global leads monthly to Media Experts and boosting efficiency and campaign launch speed.> Reduced risk in global rollouts by leveraging internal dogfooding, phased launches, and data-driven A/B testing.> Served as a culture carrier by leading Senior-IC panels, mentoring new hires, and establishing knowledge-sharing forums that up-leveled the technical proficiency of the broader organization.

Education

• Maharshi Dayanand University

  Master of Computer Applications - MCA, Computer Software Engineering

  2003 — 2006

• Symbiosis Centre for Distance Learning

  Master of Business Administration - MBA, Business, Management, Marketing, and Related Support Services

  2004 — 2006