Product Manager, Search, AI-Native Product Development

About the role

In this role, you will work cross-functionally to guide products from conception to launch by connecting the technical and business worlds. You can break down complex problems into steps that drive product development. As a part of the Search organization, you will work on some of the most compelling and frequent consumer information seeking needs. This team is at the forefront of bringing the latest advancements in foundational models to build the future of Search in the AI and Agentic Era. Users are asking far more complex questions, expect deeply comprehensive coverage, and expect hyper fresh content. Beyond an answer, Search strives to advise, teach, inform, and even create together. Projects will depend on business need and personal interest, and will align to new 0 to 1 AI-native product development initiatives.

Responsibilities

• Define the features and roadmap for key components of consumer journeys.
• Engage in AI usage for personal productivity and for prototyping new product ideas.
• Immerse in model quality, defining query sets, launching and running evals, looking at eval outcomes for the next round of product improvements etc.
• Partner with various leaders and stakeholders to execute on a compelling roadmap.
• Author clear plans to communicate to leadership and other key stakeholders.

Minimum qualifications

• Bachelor's degree or equivalent practical experience.
• 3 years of experience in product management or related technical roles.
• 1 year of experience taking technical products from conception to launch (e.g., ideation to execution, end-to-end, 0 to 1, etc).
• Experience leading the product development life-cycle for applications natively powered by foundation models (Large Language Model (LLMs)/Lower Mass Market (LMMs) or agentic architecture.
• Experience prototyping AI features using developer tools, APIs, or AI-assisted coding environments (e.g., Claude Code, Codex) to validate feasibility.

Preferred qualifications

• Computer Science, Data Science, or other relevant Engineering degree.
• Experience defining and managing evaluation frameworks for non-deterministic systems, or optimizing product trade-offs between model accuracy, latency, and inference compute costs.
• Experience designing user interfaces that elegantly handle AI uncertainty, including implementing citation/grounding mechanisms, transparent confidence indicators, and proactive mitigation of hallucinations.
• Proven track record working within AI data flywheels that capture high-quality user feedback, human-in-the-loop (HITL) corrections, or continuously fine-tuning and improving underlying models in production.
• Operate with extreme agency and founder mindset; demonstrates a strong bias for action, in addition to iterate and improve mindset.

Pay

US: $138000 - $197000 (USD) + 15% bonus target + equity + benefits