Staff Software Engineer - Ad Serving - Moloco Commerce Media

Moloco•Menlo Park, CA

21h•$216,000 - $270,000

About The Position

Moloco builds some of the most powerful AI advertising solutions in the world. Our name—short for "machine learning company"—reflects our core mission: democratizing access to the advanced AI that has historically been reserved for tech giants. Led by machine learning pioneers who built some of the most successful ad systems at Google, including YouTube's monetization engine and key search advertising technologies, we're transforming how businesses grow and compete in the digital economy. Built with AI from day one, Moloco’s planet-scale machine learning platform powers a suite of solutions for advertising growth and monetization. Moloco Ads is an AI-powered platform that delivers real business outcomes for mobile app marketers through performance-based user acquisition. Moloco Commerce Media and Streaming Monetization solutions enable retailers, marketplaces, and streaming platforms to build revenue-generating ad businesses that balance user experience and advertiser performance. Moloco is headquartered in Silicon Valley, with offices in Seattle, New York, San Francisco, Seoul, Beijing, Singapore, Bangalore, Gurgaon, Tokyo, Shanghai, London, Tel Aviv, and Berlin. Moloco is a truly rewarding place to work and in an exciting period of growth, which you could be a part of. Join us today and apply now! The Impact You’ll Be Contributing to Moloco: Moloco Commerce Media (MCM) is growing its engineering team to support our expanding number of customers with engineering rigor and efficiency. We are looking for an experienced engineer, who can both lead complicated feature developments from end to end and can provide deep technological consultations both to customers and our business team members alike. Our systems will need to be supported at a global scale handling billions of ad auctions per day, while our cutting-edge machine learning (ML) delivers high performance for advertisers and quality experiences for retail shoppers. The Ad Serving team in MCM engineering is responsible for the foundational systems underlying this platform, closely collaborating with campaign management, data infrastructure, and customer integrations.

Requirements

7+ years software development experience using one or more modern languages such as Java, C++, Go, and Python.
2+ years of leadership experience in delivering technical projects with a small (3+) team of engineers.
Hands-on experience with large-scale distributed systems, from requirements gathering and design to implementation and production deployment.
Experience in building platforms for digital advertising or e-commerce applications.
Experience with cloud-based technologies (e.g., AWS, GCE, GCP, Beam, Spark, BigTable, BigQuery etc.)
Experience working directly with customers having varying levels of technical knowledge, and translating their ambiguous requirements into actionable roadmaps and technical solutions.
Excellent problem-solving skills and the ability to work independently in a fast-paced environment.
Strong interpersonal and communication skills, with the ability to build and maintain cross-functional and customer relationships.
Willingness to travel as needed (up to 15% travel).
Communication proficiency, capable of elaborating engineering concepts and product features in detail even to non-technical audiences.

Responsibilities

Design, develop and operate an end-to-end enterprise platform that remains fast, reliable and secure at scale.
Build and maintain APIs and features for ad serving, while shaping the technical roadmap for the future of the product.
Provide technical leadership and guidance for both internal/external engineering teams and cross functional business teams.
Directly engage with customers to identify gaps, translate real world needs into engineering solutions, and deliver outcomes including legacy platform migrations, data connectors, bespoke features, workflows and analytics.
Contribute to the strategic vision of the platform, strongly influencing technical decisions and long-term architecture.
Explore and prototype next generation features including those enabled by generative AI.

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