NVIDIA is looking for a Senior Product Manager for Apache Spark accelerated with GPUs. Data scientists spend a considerable amount of time exploring data, iterating over machine learning (ML) and deep learning (DL) experiments. NVIDIA believes that the end-to-end data science workflows can benefit tremendously from being accelerated, to enable data scientists to explore many more and larger datasets to drive towards their business goals, faster, and more optimally.Apache Spark is the most popular data analytics engine in data centers. NVIDIA has been working with the open source community to accelerate Apache Spark workloads for ETL and ML/DL. Our Spark accelerators are available on major cloud Spark services (including Databricks, Google Dataproc, AWS EMR) and on-prem Spark distributions (including Cloudera and HPE). Our enterprise customers have realized significant speedup and cost-savings in production workloads. NVIDIA is looking for a self-motivated Senior Product Manager who understands Apache Spark and its ecosystem. You will lead RAPIDS Accelerator for Apache Spark to wide adoption by enterprise customers globally. We're looking for the rare blend of technical and product skills and passion for groundbreaking technology. If this fits, we would love to learn more about you!What you'll be doing:Lead the product management of RAPIDS Accelerator for Apache Spark.Develop product strategy and go-to-market plans.Channel and prioritize customer feedback to define detailed product roadmap.Work closely with engineering teams with high frequency SDK releases.Develop and deepen understanding of Apache Spark workloads in key industry verticals.Engage Spark service/product providers (on-cloud and on-prem) to make GPU acceleration easily accessible.Work with NVIDIA strategic partners on deploying advanced data analytics solutions in public cloud or on-premises clusters.Partner with various NVIDIA products and field sales for full-stack hardware/software acceleration.Create product demos and presentations for prospective customers.Present at industry conferences and meetups.What we need to see:BS or MS degree in Computer Science, or similar field or equivalent experience10+ years of product management and related experience at a technology company.3+ years of working experience of Apache Spark and its ecosystem.Track record of delivering products/services to enterprise customers.Experience partnering with senior engineering leadership and able to deep-dive into complex technical concepts related to distributed systems and data processing.Experience distilling enterprise customer’s needs into a roadmap for future development.Ability to work with cross-functional teams on go-to-market strategy.Ability to influence multiple stakeholders without direct authority.Be a self-starter in a dynamic environment as well as strong leadership and influence skills.Excellent communication and presentation abilities.Able to travel up to 10% of the time for events, team collaboration, and customer meetings.Ways to stand out from the crowd:Product management experience with Apache Spark or big data related products.Partnership experience with cloud service providers.Working experience with machine learning, deep learning and LLMs, especially at large scale.Direct working experience with NVIDIA software, hardware and SDKs.NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people on the planet working for us. If you're creative, passionate and self-motivated, we want to hear from you! NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services.The base salary range is 196,000 USD - 368,000 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
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