Teams at Scribd, Inc.

Lead the Content Foundations engineering team and evolve Scribd’s high-scale document ingestion platform into a real-time, AI-native system. Responsibilities include setting technical strategy, integrating AI and ML capabilities, overseeing distributed data infrastructure, ensuring security and operational reliability, managing the roadmap, hiring and developing backend and AI data engineers, and partnering with product and engineering leaders across the organization.

Leads performance and organic growth strategy across paid search, paid social, affiliate, SEO, and LLM-driven discovery for three brands. Manages channel experts, budgets, attribution, reporting, experimentation, and marketing technology to optimize acquisition efficiency and ROI. Partners with brand and creative teams on integrated campaigns, develops emerging channels, and applies data, AI tools, and unit economics to drive profitable growth.

Own the acquisition product roadmap and engineering priorities to drive durable user growth. Define target audiences and channel mix, build product-driven acquisition mechanics (referrals, growth loops), enable channel effectiveness (discoverability, search/AI readiness, integrations, tracking), test new acquisition tactics, and align product investment with Performance Marketing, SEO, Partnerships, and Brand while measuring long-term subscriber value.