Senior Engineering Manager: Ads Platforms & AI Apps Monetization

About Moloco

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 You Tube's monetization engine and key search advertising technologies, we’re transforming how businesses grow and compete in the digital economy.

This leader will play a critical role in shaping how publishers and advertisers connect to Moloco and how signal flows through our platform  will own a foundational part of our Ads business, spanning SDKs, measurement, customer solutions, and ingestion infrastructure, while also helping extend Moloco into the next generation of AI‑native monetization surfaces.

This is an opportunity to lead a high‑impact platform organization and influence how Moloco serves emerging publisher needs in a fast‑evolving ecosystem. You will work across engineering, product, and business teams to build durable platform capabilities, improve technical excellence, and help define the future of monetization for AI‑native applications.

We are looking for a leader who can combine strong engineering management with platform thinking, technical depth, and the ability to operate effectively in ambiguous, fast‑moving spaces.

• Lead the Measurements, SDK, Customer Solutions, and Ingestion Infrastructure engineering teams and define technical direction, priorities, and operating cadence.
• Evolve the Ads Platform organization beyond feature delivery, with stronger focus on reliability, scalability, maintainability, and long‑term technical health.
• Partner closely with peer engineering leaders to align client‑side, platform, and backend architecture across Moloco’s ads ecosystem.
• Improve engineering quality across architecture, testing, release management, observability, incident response, and operational rigor.
• Coach and grow engineering managers, senior engineers, and technical leaders through strong feedback, mentorship, and clear expectations.
• Help attract and hire exceptional talent by contributing to org design, role definition, and candidate assessment.
• Work cross‑functionally with Product, Design, Data, Solutions Engineering, and business stakeholders to align roadmaps and execution plans.
• Help define and build platform capabilities that support AI‑native publisher monetization, including new forms of signal handling, integration, and ad experience requirements.
• Partner with internal and external stakeholders to understand publisher needs and translate them into scalable platform investments.
• Drive cross‑team alignment on ambiguous, multi‑stakeholder technical problems and make pragmatic tradeoffs in service of long‑term business impact.

• 8+ years of software engineering experience in one or more relevant areas such as SDK, backend systems, infrastructure, supply or mediation, creative platforms, or adjacent ad tech domains.
• 3+ years of engineering leadership experience as an engineering manager, tech lead manager, or equivalent.
• Experience in one or more of the following domains: publisher SDK or mediation, data measurement or analytics pipelines, ingestion or event‑streaming infrastructure, or technical customer solutions / solutions engineering with demonstrated ability to lead effectively across areas outside your direct specialty.
• Experience leading cross‑functional engineering initiatives involving multiple stakeholders and partner teams.
• Demonstrated ability to navigate ambiguity and translate broad business or product needs into clear engineering direction.
• Excellent communication and stakeholder management skills.
• Bachelor’s degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.

• Experience leading or partnering closely with Ads measurement, attribution, or data pipeline engineering teams.
• Familiarity with event ingestion systems, streaming infrastructure, or data reliability at scale.
• Track record of…