Software Engineer - Ads Experience (소프트웨어 엔지니어)

Software Engineer II - Ads Experience

• 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, Kotlin, C++, or Python.
• Solid understanding of data structures, algorithms, and system design, with hands‑on experience building or maintaining web services / APIs.
• Experience working with relational or NoSQL databases (e.g., BigQuery, Bigtable, MySQL, PostgreSQL).
• 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, UX, Data, and ML partners.
• Fluent verbal and written communication skills in English; ability to discuss designs, trade‑offs, and timelines with global stakeholders.

Senior Software Engineer - Ads Experience

• BS/MS in Computer Science or a related technical field, or equivalent practical experience.
• 8+ years of software engineering experience, including significant backend or platform work on user‑facing products.
• Proficiency in one or more modern programming languages such as Java, Go, Kotlin, C++, or Python, and experience building large‑scale distributed systems or high‑throughput services.
• Strong system design skills, with a track record of leading the design and implementation of complex features or services across multiple components or teams.
• Deep experience designing and operating web services / APIs and working with relational or NoSQL databases (e.g., BigQuery, Bigtable, MySQL, PostgreSQL).
• Proven experience acting as a project tech lead: breaking down ambiguous problems, aligning stakeholders, and delivering projects on time with high quality.
• Demonstrated ability to work effectively with Product, UX, Data, and ML partners, influencing product scope and technical trade‑offs.
• Fluent in English, capable of driving technical discussions and decisions with global, cross‑functional stakeholders.

• Experience building advertiser-, operator-, or analyst-facing tools such as campaign managers, analytics dashboards, troubleshooting or alerting tools, billing or capacity management systems, or internal operations tools.
• Strong exposure to or deep understanding of digital advertising / AdTech, including campaign performance metrics, attribution, reporting dimensions, billing concepts, and advertiser needs.
• Experience contributing to analytics and reporting capabilities, including working with data pipelines, schemas, data contracts, SLIs/SLOs, backfill strategies, and latency versus cost trade-offs.
• Familiarity with or hands-on experience in cloud platforms and big-data technologies such as GCP, BigQuery, Dataflow, Kafka, and Beam/Spark, especially when integrating them into user-facing products.
• Experience working closely with Product, Engineering, UX, Data, or ML teams and incorporating user feedback into product and workflow improvements.
• Interest in or demonstrated ability to improve reliability, observability, testing, and overall engineering quality in production environments.
• Interest in UX for data-heavy products and in presenting complex operational or performance information in a clear, actionable way.
• Prior experience in global or multi-region environments where advertiser needs and regulations differ by market is a plus.
• For more senior candidates, experience mentoring engineers and positively influencing team culture and engineering practices is a strong plus.

Moloco is an AI-native performance advertising company, bringing the power of AI advertising to the open internet. Founded in 2013 by machine learning engineers who had built AI advertising systems inside the world's largest technology companies, Moloco began from a shared mission: to build that same engine for the open internet.

Today, Moloco is one company with two businesses, built on the same compound AI system. Moloco Ads is our AI-native performance advertising platform, helping mobile app marketers acquire, retain, and re-engage high-value users across the open internet. Moloco Commerce Media is our AI-native retail media platform, enabling retailers and marketplaces to turn their platforms into thriving ad businesses. Both are powered by CARA (Compound Ad Recommendation Architecture), the AI system behind every Moloco product.

At Moloco, we bring together those who've already solved hard problems and those with the drive to. Here, we work on some of the complex problems in AI advertising, at a scale and level of sophistication very few companies can offer. Come build what's next.

As a Software Engineer on the Ads Experience (AdEx) team, you will build and evolve core features, services, and workflows that power Moloco’s web-based campaign management portal, Moloco Ads Manager (our Ads Manager UI). Your work will directly shape how advertisers and internal operators create, configure, monitor, troubleshoot, and understand campaigns, helping them operate more efficiently and confidently on Moloco Ads while driving meaningful user and business impact.

• Design, implement, and operate backend services and APIs that support key advertiser and operator workflows in Moloco Ads Manager, including campaign setup, configuration, health monitoring, reporting, alerting, and diagnostics.
• 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, UX, Data, and ML to turn complex user problems into simple, reliable, and scalable product experiences in the Ads Manager UI and via APIs.
• Contribute to analytics and reporting capabilities by integrating with data pipelines and helping deliver clear, actionable views of campaign performance and operational health.
• 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 raising the team’s engineering bar and support a collaborative culture of technical excellence and continuous improvement.

Our benefits are designed to support our people in doing their best work and living well, at work and beyond. Benefits vary by country, employment type, and eligibility. Connect with a recruiter to learn more about benefits in your region.

• Lead with Humility: Everyone’s voice is respected, valued, and heard. 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 intensity and rigor. 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 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.

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