Nadav Eiron Email & Phone Number

Mountain View, California, United States

In this position, I acted more like a General Manager (GM) responsible for developing the concept of ML/AI product management and empowering Google to process data easily, efficiently, reliably, and responsibly.- Led Google’s ML infrastructure strategy by creating a unified strategy to build infrastructure and supporting product development teams to advance the state of the art of ML use in their products.- Designed a 3-year hiring plan and built a team to support the launch of Google’s most advanced ML-based features and AI products, both in the consumer-facing and enterprise solutions sectors.- Chaired a Google-wide committee and coordinated the strategy around ML tech development initiatives and financial investments, which resulted in centralizing budget management and streamlining the investment process. This became fundamental to the Core ML organizations’ success.- Worked cross-functionally to define policy and compliance mechanisms for the responsible use of AI/ML technologies across our product portfolio.- Worked with ML Research and Machine Intelligence teams to establish clear paths for transitioning research advances to functioning products.- Maintained an inclusive work environment, kept the team motivated and the business growing despite the obstacles presented by COVID, Great Resignation, and economic ups and downs.- Led the strategy development efforts for investment and transition in ML hardware. This included championing the concept of tighter HW/SW co-design, and aligning the HW program with software efforts and business needs.- Developed the foundation of our ML technology research program and drove it to become a working solution by determining the possible and feasible investments in this area.- Supported Google’s response to the introduction and rapid growth of generative AI technologies by assembling the right technical resources, putting boots on the ground, and getting involved in our fight for market dominance.

Mountain View, California, United States

Core Data’s mission is to unlock the power of Google’s data – enabling product teams to build the next generation of data-driven innovations for end-users. The Core Data product suite offers end-to-end data management solutions, infrastructure, and foundations for Google products, including products such as Search, Ads, YouTube, and Geo.I was responsible for creating and leading the team that built the technical foundation behind Google’s products. We advocated for the underlying design principles, developer platforms, product components, and infrastructure, which resulted in creating an ecosystem of products and solutions that let developers focus on their business logic without worrying about the underlying infrastructure.- Provided executive leadership for growing the team to over 1,200 engineers, setting up the strategy and establishing the first centralized data infrastructure team that served all of Google’s 1st party product teams. - Planned and implemented a re-organization program to improve the team dynamics and centralize our inner-departmental mission, which required a significant amount of change management and culture re-development.- Maintained the entire organization’s stability and morale while we experienced several changes in the leadership team and through the COVID lockdowns.- Built a product management framework that reinvigorated the product development process, moving away from engineer-to-engineer communication to a dedicated product management team that centralized product design.- Successfully managed compute resources for several Google products while continuously and reliably controlling product costs and improving the ability of developers to launch new features.- Developed talent through effective mentoring, coaching, and inspiring with a focus on talent management and instilling a data-driven and compassionate culture that grows in a fast-paced environment.

Mountain View, California, United States

With the growth in Google Search and other consumer products (e.g. Ads, YouTube, Android), there were important, complex problems to be solved in improving performance, availability, and programmability, and I was responsible for helping set the long-term strategy for the Search backend servers to drive technology integration and business success for our customers in more than 200 countries.- Led a software engineering team across multiple sites and oversaw the portfolio of Google Search while working cross-functionally within the broader engineering community and Site Reliability Engineering (SRE) to deliver solutions for our customers. - Partnered closely with cross-functional leaders to define the future product roadmap, business growth strategy, and technology solutions for the Search Infrastructure. - Collaborated with multiple stakeholders across Google, including executive leaders within Google Search to influence infrastructure offerings. - Contributed to the long-term strategy and innovation of Google Search Infrastructure.

Mountain View, California, United States

Behind everything our users see online is the architecture built by the Infrastructure team to keep it running. We develop and maintain our data centers and build the next generation of Google platforms, making Google's product portfolio possible.I was responsible for leading the team that focused on deploying, maintaining and evolving one of Google’s 2nd generation search serving backend systems, as well as overhauling the entire backend ecosystem and creating Google’s unified 3rd generation search backend.- Led the new product development efforts for the 2nd generation search serving backend systems and expanded the scope for the unified 3rd generation search backend, which required recruiting, hiring, and training new team members, as well as scaling the infrastructure technology faster, cheaper, and better.- Successfully set and communicated team priorities that supported the broader organization's goals. - Aligned business strategy, technical processes, and strategic decision-making across teams. - Set clear expectations with individuals based on their level and role, and aligned to the broader organization's goals. - Met regularly with individuals to discuss performance and professional development, and provided feedback and continuous coaching. - Developed the technical vision and product roadmap within the scope of my team, and evolved the roadmap to meet anticipated future requirements and infrastructure needs.

Mountain View, California, United States

I was responsible for developing the next-generation technologies that change how billions of users connect, explore, and interact with information and one another.Google's Search Infrastructure products handle information at a massive scale and extend well beyond web search, and I was able to bring fresh ideas from areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile UX research.- Regularly participated in design reviews with peers and stakeholders to decide amongst available technologies. - Reviewed code developed by other developers and provided feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency)- Contributed to existing documentation and adapted content based on product updates and user feedback.

San Jose, California, United States

The Almaden Research Center is IBM's Silicon Valley innovation lab. Scientists ranging from chemists to physicists, as well as mathematicians, engineers, and designers, develop breakthroughs across disruptive technologies, including Artificial intelligence (AI) and machine learning (ML), hybrid cloud, quantum computing, data security, and data storage.I joined the center as a Postdoc Fellow and then became a full-time R&D Engineer involved in research and development projects including web structure research and information retrieval.

Doctor Of Philosophy - Phd, Computer Science

M.Sc., Computer Science

B.Sc., Computer Science