Senior Advertising Product Manager

AppLovin

13d•$147,000 - $241,000•Remote

About The Position

AppLovin makes technologies that help businesses of every size connect to their ideal customers. The company provides end-to-end software and AI solutions for businesses to reach, monetize and grow their global audiences. For more information about AppLovin, visit: www.applovin.com. To deliver on this mission, our global team is composed of team members with life experiences, backgrounds, and perspectives that mirror our developers and customers around the world. At AppLovin, we are intentional about the team and culture we are building, seeking candidates who are outstanding in their own right and also demonstrate their support of others. Fortune recognizes AppLovin as one of the Best Workplaces in the Bay Area, and the company has been a Certified Great Place to Work for the last four years (2021-2024). Check out the rest of our awards HERE. The Opportunity Wurl is seeking a Senior Software Engineer to build and optimize the high-concurrency Go services powering our real-time advertising platform. We operate at massive scale, handling 100k+ OpenRTB requests per second where latency is measured in single-digit milliseconds. You will be a key contributor to our core engine, ensuring our services thrive under extreme load while providing a strong technical reference point for the team’s Go development practices.

Requirements

Go Expertise: 5+ years of professional experience building high-scale services in Go, with a deep understanding of internals (GC, scheduling, and memory management).
High-Scale Systems: Proven track record of operating distributed systems handling 100k+ RPS.
Concurrency: Mastery of goroutines, channels, and synchronization primitives.
Domain Context: Experience with OpenRTB, VAST, or similar programmatic advertising technologies preferred.
Infrastructure: Practical experience running and debugging services in Kubernetes and AWS environments
Mindset: A pragmatic architect who values simple, effective solutions over over-engineered abstractions.

Responsibilities

Feature Ownership: Lead the design and implementation of complex features within our Go-based ad-serving stack, optimized for high throughput.
Systems Optimization: Use pprof and tracer to eliminate bottlenecks; tune memory allocation and goroutine usage to meet aggressive p99 latency targets.
Protocol Mastery: Maintain high-speed support for OpenRTB and VAST protocols, focusing on efficient request parsing and validation.
Stream Processing: Integrate services with Kafka pipelines and with low-latency data stores to support real-time decisioning.
Platform Partnership: Work closely with Platform Engineers to ensure application behavior aligns with infrastructure capabilities, specifically around auto-scaling triggers, networking, and deep observability.
Defensive Engineering: Implement reliability patterns (circuit breakers, retries, graceful degradation) to maintain uptime during traffic surges.
Production Ownership: Take end-to-end responsibility for services, from initial design through deployment to Kubernetes (EKS) and production monitoring.
Architectural Rigor: Lead design reviews, providing critical feedback on system architecture, data modeling, and API design.
Mentorship: Grow the team through thoughtful code reviews and informal sessions on Go best practices and distributed systems.