About The Role
Are you passionate about using the latest Multimodal AI to reinvent and radically simplify home shopping? We are seeking a highly experienced and technical Principal Product Manager to join our AI & Experiences team, focusing on growing Zillow's ability to observe and comprehend the world that surrounds home shopping (homes, neighborhoods, documents) through advanced multimodal AI.
At Zillow, we recognize that home shopping is inherently a multi-sensory experience. We are looking for a technical, visionary product thinker that can lead us through evolving our existing AI systems to build novel, scaled digital experiences that capture the richness of viewing a home and location in-person. This role will focus on advancing our capabilities across multiple modalities including: computer vision for property feature recognition and room classification, natural language understanding for property descriptions and user queries, multimodal fusion for richer property understanding, and document understanding and intelligence.
Key Responsibilities:
- Spearhead the strategic innovation and integration of multimodal and computer vision AI technologies across Zillow's customer-facing experiences, balancing brand-new innovation with practical deployment.
- Identify and complete key opportunities for creative customer experiences, developing innovative methods for buyers & renters to gain deeper insights into homes and locations.
- Develop and evolve our multimodal AI roadmap, ensuring alignment with both technical feasibility and customer value.
- Work closely with applied scientists, machine learning engineers, designers, and researchers to use Zillow's extensive real estate dataset for training models and developing experiences.
- Translate complex technical capabilities into valuable, high-impact user experiences, focusing on visual, textual, and spatial data streams.
- Lead cross-functional teams to deliver AI products from conception to production, ensuring robust model deployment, performance monitoring, and iterative improvements.
- Drive responsible AI practices, addressing challenges around data privacy, bias mitigation, and fair housing compliance.
- Stay informed about new technologies and industry trends to continuously push the team forward in innovative ways.
Who You Are
This is a high-priority problem space, and the team needs an innovative, deeply technical, and self-starter Principal Product Manager who has experience with building complex, multimodal systems and solutions at scale.
- 8+ years in a D2C/B2C product management role leading and testing AI products at scale (millions of customers), with at least 3+ years focused on multimodal AI systems spanning computer vision, natural language processing (NLP), and multi-modal fusion architectures.
- Technical proficiency in modern AI approaches, encompassing: Previous involvement with foundational models, grasp of computer vision techniques (object detection, semantic segmentation, image classification) and awareness of Machine Learning Ops standard methodologies for large-scale AI systems.
- Track Record of Shipping Complex ML/AI Products: Demonstrated success in bringing computer vision or multimodal AI products from conception to production at scale. Experience with model deployment, integration of complex data pipelines that handle multiple input modalities (images, text, sensor data, etc.), performance monitoring, and iterative improvement cycles.
- Strong Product Sense in Solving in AI Applications: Ability record to translate raw technical capabilities into valuable, high-impact user experiences. Understanding of the possibilities and limitations of computer vision in a real customer context.
- Cross-Functional Leadership in Technical Environments: Collaborate with ML engineers, scientists, designers to make technical trade-offs, aligning with customer vision.
- Lead on 0 to 100 Products: Navigate ambiguity in a fast-paced setting, adapt to new technologies, apply rigorous learning and testing, and scale expertly.
- Responsible AI Champion: Experience addressing ethical considerations such as bias detection and mitigation, privacy preservation, and compliance with relevant regulations.
- Skilled communicator (both written and verbal) capable of explaining complex technical ideas to executive partners and technical audiences.