About the job
This person will be working with product and engineering partners to set a platform vision, form strong relationships with cross functional partners (both technical and non-technical), aligning on a shared vision for success, and delivering results that create meaningful business impact. This person will translate the business and user needs into a pragmatic and iterative strategy and roadmap, along with providing specifications and user stories for the engineering teams. The product manager will serve as the subject matter expert, push for adoption for new use cases, and continually improve our platform capabilities.
What You'll Do:
Product Ownership: Serve as the subject matter expert and champion for release engineering, demonstrating a deep understanding of their technology, strengths, weaknesses, and market alternatives.Strategic Planning: Partner with engineering leaders to develop and maintain a compelling product vision and roadmap, prioritizing feature requests based on business value and impact, and ensuring alignment with stakeholders.End-to-End Delivery: Take full accountability for the successful delivery of platform enhancements and support, translating product outcomes into actionable engineering stories and tickets.Adoption and Advocacy: Proactively market your products internally, measuring adoption, addressing gaps, and ensuring all potential users understand the value proposition.Technical Acumen: Gain a deep understanding of the technologies underpinning your products, enabling you to influence technical pivots when necessary and architect high-level system plans.Stakeholder Communication: Maintain open and transparent communication with stakeholders, providing regular updates on product progress and ensuring alignment with organizational goals.What you'll Need:
Product Management Experience: 10+ years of experience in product development, preferably with software platforms, demonstrating a proven track record of delivering successful products.Technical Foundation: 6+ years of foundational understanding of software technologies, ideally with experience in accelerating deployment patterns.Standards Development: Experience in developing or influencing standards related to access management, asset provisioning, and governance processes.Data Analysis Skills: Proficiency in SQL, enabling you to extract ad hoc data for analysis and decision-making.Communication Skills: Strong written and verbal communication abilities, with a demonstrated aptitude for explaining complex technical concepts to non-technical audiences.Customer Focus: A passion for creating amazing, customer-centric products, with a focus on measuring their effectiveness and usability through clear KPIs.Collaboration and Prioritization: Ability to effectively collaborate across multiple stakeholder groups, juggle large initiatives, and prioritize work based on impact.Agile Experience: Experience working with engineering teams in an agile environment, including sprint planning, stand-ups, and backlog management.Cloud Familiarity: Familiarity with Google Cloud and its data offerings is a plus. Read LessWe are looking for an experienced architect to join our AI Platforms team that is building Wayfair's cutting edge solutions to the complex challenges teams encounter when developing AI applications at scale. The work includes but is not limited to building platforms, frameworks, and services that solve the difficult problems of observability, tool integration, performance optimization, and reliable AI system deployment that teams across the organization face. In a nutshell, you'll be tackling the hard problems that arise when building AI systems in production, creating solutions that enable teams throughout our global platform to focus on innovation rather than infrastructure and integration complexity.
We're looking for someone who not only enjoys writing code and seeing their ideas come to fruition on a global scale, but is also able to upskill the engineers around them through leading by example. In this role, you will be leading the development of cloud native capabilities to ensure our Data Scientists can focus on model development and delivering cutting edge intelligent solutions.
What You'll do:
Drive and own the delivery of AI platforms from design and architecture to productionLeverage your deep knowledge of AI engineering to build Wayfair's next generation AI capabilitiesDesign scalable systems using Python, Go, Kubernetes, GCP, Airflow, and other technologies to support AI workloadsThink outside of the current technology/stack limitations to push the boundaries on what is possible with AI and deliver feasible solutions collaborativelyChampion open source solutions and Google Cloud native technologies, and their application to our AI use casesDevelop end to end AI solutions that can power the full range of AI initiatives at WayfairPartner with product leaders to understand technical pain points for data scientists and other teams building AI applications and translate them into clear and robust platform solutionsAdvise engineering and product management on AI platform technical roadmap, ensuring that the vision aligns with broader company objectivesPromote a culture of engineering excellence and strengthen the technical expertise of our AI engineering and product teamsKeep current on AI engineering technology trends, evaluate, work on proof-of-concept and make recommendations on the technologies based on their meritWho you are:
10+ years of experience in software engineering and designing systems at scale4+ years of experience in Linux-based development, Python/Go development, and leading engineering teamsExperience developing AI/ML pipelines, model deployment systems, and orchestrating AI workloads with KubernetesStrong understanding of containerization, AI system scalability challenges, and software engineering best practicesExperience with AI/ML frameworks (TensorFlow, PyTorch) and model serving technologiesKnowledge of AI system monitoring, performance optimization, and model lifecycle managementExcellent communication skills with demonstrated experience driving teams and influencing technical decisions aligned with company AI strategyHands-on experience in high-growth environments at scale, with ability to mentor engineers and collaborate with AI researchers and data scientistsNice to Have:
Mix of start-up and large-company experience working on AI solutionsFamiliarity with AI platforms (opensource or offered by Google Cloud) and how to implement them on a large scaleKnowledge of vector databases, embedding systems, or real-time AI inference optimization Read Less