💼 About This Role

You'll own the vision and roadmap for an Ads ML platform enabling scalable machine learning across ads ranking and targeting systems. You'll define product strategy at the intersection of ML infrastructure and ads technology, driving improvements in system performance, cost efficiency, and adoption. This role offers the chance to shape foundational systems that power large-scale advertising intelligence in a fast-moving, research-informed engineering culture.

🎯 What You'll Do

• Define and lead product vision and roadmap for ML platform capabilities.
• Build tools and infrastructure to accelerate ML development cycles.
• Partner with ML engineers and data scientists to identify pain points.
• Drive improvements in system performance, cost efficiency, and reliability.

📋 Requirements

• 6+ years of product management experience in ML platforms or data infrastructure.
• Strong technical foundation understanding the full ML lifecycle.
• Experience working with ML engineers or data science teams in complex systems.
• Ability to interpret and prioritize technical constraints like latency and compute efficiency.

✨ Nice to Have

• Familiarity with generative AI, LLMs, or agent-based systems.
• Prior experience in ML engineering, data science, or backend systems.

🎁 Benefits & Perks

• 💰 Competitive compensation with equity opportunities
• 🏥 Comprehensive health coverage (medical, dental, vision)
• 🏡 Flexible work arrangements including remote-friendly options
• 🏖️ Generous paid time off and parental leave policies
• 📚 Professional development opportunities in AI and ML

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Phone Screen· 30 min
2. 2Technical Interview· 60 min
3. 3Onsite / Final Round· 90 min