Software Engineer II - Moloco Commerce Media

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 enables retailers and marketplaces 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, 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!

As a Software Engineer on the MCM(Moloco Commerce Media) team, you will build and evolve backend systems, experimentation capabilities, and product workflows that power Moloco Commerce Media’s retail media platform.

Your work will directly shape how retailers, advertisers, and internal teams launch, scale, measure, and improve commerce media products and monetization strategies. You will help deliver reliable, scalable, and data-informed solutions across campaign and bidding workflows, pricing and pacing logic, experimentation, and platform integrations, driving meaningful customer and business impact.

• Design, implement, and operate backend services, APIs, and internal systems that support core MCM workflows across campaign delivery, bidding, auction, pricing, experimentation, and product launch operations.
• Own features or projects end-to-end, from problem framing and requirements review through technical design, implementation, testing, launch, and post-launch iteration.
• Partner closely with Product, Data Science, ML, Customer Engineering, and business stakeholders to translate complex retailer and advertiser needs into simple, reliable, and scalable platform capabilities.
• Contribute to experimentation and launch infrastructure that enables teams to validate improvements, roll out new capabilities safely, and make data-driven product decisions.
• Improve the reliability, performance, and observability of the systems you build through strong engineering practices, including testing, metrics, logging, monitoring, and incident response.
• Contribute to integrations and platform capabilities needed to support global expansion, customer-specific requirements, and evolving commerce media product needs.
• Contribute to raising the team’s engineering bar and support a collaborative culture of technical excellence and continuous improvement.

• BS/MS in Computer Science or a related technical field, or equivalent practical experience.
• 4+ years of software engineering experience in backend or full-stack development.
• Proficiency in at least one modern programming language such as Java, Go, C++, or Python.
• Solid understanding of data structures, algorithms, and system design, with hands-on experience building or maintaining distributed systems and web services / APIs.
• Experience working with relational or NoSQL databases and large-scale production systems.
• Experience owning features or components end-to-end under guidance from more senior engineers.
• Ability to collaborate effectively in a cross-functional environment with Product, Data Science, ML, Customer Engineering, and other engineering teams.
• Fluent verbal and written communication skills in English; ability to discuss designs, trade-offs, and timelines with global stakeholders.

• Experience building backend systems for advertising, e-commerce, marketplace, retail media, or other high-scale product platforms.
• Experience working on experimentation, feature rollout, configuration management, or decisioning systems in production environments.
• Experience with bidding, pricing, recommendation, attribution, or other optimization-related product areas.
• Familiarity with cloud platforms and data technologies such as GCP, BigQuery, Bigtable, Kafka, Beam/Spark, or similar tools used in large-scale data and product systems.
• Experience integrating product requirements, customer feedback, and operational constraints into scalable engineering solutions.
• Interest in or demonstrated ability to improve reliability, observability, testing, and overall engineering quality in production environments.
• Experience supporting customer-facing or business-critical systems where launch quality, operational excellence, and iteration speed matter.
• Prior experience in global or multi-region environments where product requirements, regulations, or market needs differ across customers and regions is a plus.

• Lead with Humility: Everyone’s voice is respected, valued, and heard. With humility, we become more open and accessible to each other. We win, lose, and learn together. Accountability and feedback are essential to our success. 
• Uncapped Growth Mindset: We see all situations as opportunities to learn, grow, and improve as individuals and as an organization. We seek diverse perspectives, encourage curiosity, and promote experimentation to push the boundaries of what’s possible. 
• Create Real Value: We pursue the most impactful opportunities with rigor and integrity. We take intelligent risks and make disciplined trade-offs to maintain deep focus. We help our customers win by delivering durable value. 
• Go Further Together: We’re one team working towards one mission and vision. We collaborate proactively and inclusively, involving the right people at the right time and in the right way. We strive to create a more equitable workplace. We won’t let each other fail. 

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Our interview process is designed to get to know the real you. Unless a round specifically includes AI as part of what's being assessed, we ask that candidates engage without AI assistance. Please review our AI Use in Interviews Policy before your interview to understand what to expect. Failure to comply with this policy may impact your candidacy.

Creating a diverse workforce and a culture of inclusion and belonging is core to our existence. To reach our goals, diversity of talent and thought is a critical component of how we operate as an organization. Our workforce is our superpower, and we know that fostering a culture of inclusion, authenticity, and belonging gives us the greatest opportunity to achieve our vision to become the scaling engine for the Internet economy.

Moloco is an equal opportunity employer. We highly value diversity in our current and future employees and do not discriminate (including in our hiring and promotion practices) on the basis of race, color, creed, religion, national origin, age, sex and gender, gender expression and identity, sexual orientation, marital status, ancestry, physical or mental disability, military or veteran status, or any other characteristic protected by law.

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