The Impact You'll Be Contributing to Moloco:
- Define and execute the product strategy, roadmap, and requirements for end-to-end Dynamic Product Ads (DPA) - spanning catalog/postback integration, campaign setup workflow, ML-based product recommendation, retrieval & matching systems and creative UX optimization.
- Own the product lifecycle from concept to experimentation and launch, ensuring each product delivers measurable customer value.
- Establish, monitor, and analyze KPIs to refine strategy, drive performance improvements, and guide data-informed decisions.
- Lead cross-functional teams to deliver rapid, high-quality product iterations with clear business impact in a fast-paced, agile environment.
- Synthesize large-scale data, model outputs, and experimentation insights to shape product strategy.
- Stay ahead of industry trends and competitive dynamics to identify new product opportunities and positioning strategies.
- Resolve day-to-day operational challenges proactively to ensure smooth execution and continuous product improvement.
The Opportunity:
- Moloco's vision is to become the scaling engine for the internet economy - transforming the ad tech ecosystem to deliver greater value for advertisers and publishers.
- In this role, you will pioneer a zero-to-one product, building new services that help advertisers grow their businesses by leveraging Moloco's world-class machine learning capabilities across recommendation, ranking, and retrieval systems.
- We're looking for a passionate, analytical, and execution-driven Product Manager ready to drive innovation, unlock new advertiser verticals, and shape the future of Moloco's growth.
How Do I Know if the Role is Right For Me
- A BS/MS degree in Computer Science, Electrical Engineering, or a related field.
- 7- 10+ years of experience in Product Management or equivalent roles, with a proven track record of turning ambiguous business and technical requirements into clear, data-driven product decisions.
- 3+ years of experience in mobile ad tech, search ads, or adjacent domains (e.g., marketplace, e-commerce, or recommendation systems)
- Experience with recommendation, ranking, or retrieval systems in large-scale consumer or ads platforms
- Familiarity with modern ML approaches (e.g., embeddings, LLMs, classifiers, or evaluation frameworks) in production systems
- Demonstrated success in leading 0 1 product strategies and launches
- An analytical mindset, using data to inform and drive key decisions
- A solid understanding of go-to-market (GTM) cycles within product management.
- Exceptional communication and collaboration skills, with the ability to align and influence across teams
- Experience thriving in a fast-paced, iterative environment - building, testing, and learning quickly to deliver impact.
Preferred Qualifications
- MBA preferred.
- Experience in personalization, recommendation, ranking, or retrieval/matching systems
- Familiarity with commerce APIs, product feed management, and dynamic creative systems.
- Experience working on search ads, keywordless matching, or query understanding systems.
- Hands-on experience with SQL, Python, or other data analytics tools.
Example Impact Areas
- Building recommendation or retrieval models that improve ad relevance, CTR, or revenue.
- Improving query-to-product/ad matching using ML (e.g., embeddings, classifiers, or LLM-based approaches)
- Integrating with major e-commerce platforms to automate catalog/postback ingestion and campaign setup.
- Driving UX experimentation to optimize ad unit performance across different inventory environments.
