san management c72n jobs in mountain view california united states

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Build consumer grade applications for iOS. Ship high-quality, well-tested, secure, and maintainable code. Work collaboratively with our Designers, Product Managers, and AI Researchers to take ambiguous projects and mold them into amazing experiences. Find a path to get things done despite roadblocks to get your work into the hands of users quickly and iteratively. Enjoy working in a fast-paced, design-driven, product development cycle. Embody our Culture and Values. Bachelor's degree in computer science, or related technical discipline AND 4+ years technical engineering experience developing mobile applications for iOS platforms with coding in languages including, but not limited to, Swift, Objective-C, or Java OR equivalent experience. Working knowledge of mobile application architecture, design patterns, and UI/UX principles. Contributions to open-source projects. Experience building iOS applications from scratch. Demonstrated written and verbal communication skills with the ability to work closely with cross-functional teams, including product managers, designers, and other engineers. Passion for learning new technologies and staying up to date with industry trends, best practices, and emerging technologies in mobile development and AI. 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Experience working side-by-side with Researchers and/or Engineers Experience managing cross-functional and/or cross-team projects. Identifying and prioritizing language and multimodal model issues and working with researchers to find a path to resolution. Creating novel data collection tasks for taskers to evaluate models and to collect training data for fine-tuning. Creating model prototypes to prove out new feature directions and scope projects. Engineering prompts to teach models how to behave across a wide range of scenarios. Working closely with researchers and engineers to define and manage engineering and research projects. Deploying and tracking AB model experiments in production Foster a culture of collaboration, continuous improvement, and growth. 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Serve and operate live voice and vision endpoints, including planning for Site Reliability Engineering (SRE) and on-call coverage, while monitoring and improving service quality metrics. Apply a deep understanding of multimodal LLMs\u2014including differences from text models, evaluation methods, and prompting strategies\u2014to inform product and engineering decisions. Support upstream customer teams as they develop new features on the Voice & Vision stack by understanding requirements, guiding teams to existing solutions, or scoping and delivering new features in collaboration with engineering. Collaborate with client engineers and data teams to ensure proper instrumentation for quality-of-life (QoL) metrics, enabling effective monitoring, assessment, and evaluation of new features and end-product quality. Partner with marketing to align product readiness with planned launches, proactively identifying risks, and tracking metrics that demonstrate business and user impact. Manage and prioritize the backlog of tasks across multiple teams, balancing product improvements, backend initiatives, customer feature requests, and triaging inbound bugs and support requests. Integrate with broader organizational processes such as cycle planning, RAG status updates, and weekly quality reviews (WQR) to ensure seamless alignment with company-wide operational rhythms. Lead capacity planning for efficient resource utilization, assessing the impact of new features from both the V&V team and upstream customer teams, and securing additional capacity as needed. Bachelor's Degree AND 4+ years experience in engineering, product/technical program management, data analysis, or product development OR equivalent experience. 2+ years of experience managing cross-functional and/or cross-team projects. 3+ years of experience working with modern web stacks (such as Node.js, Python, or .NET), networking protocols, or deploying or serving large language models (LLMs) in a production environment. 3+ years of experience designing, developing, or deploying voice and/or vision solutions in production environments (such as speech recognition, voice assistants, computer vision, or multimodal AI applications). Bachelor's Degree AND 8+ years experience engineering, product/technical program management, data analysis, or product development OR equivalent experience. 6+ years of experience managing cross-functional and/or cross-team projects. Experience developing scalable data collection pipelines and operational processes. Ability to proactively identify risks, create mitigation strategies, and ensure timely project delivery. Demonstrated success working with engineering, research, and operations to deliver high-impact AI solutions. 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