Senior Developer Relationship Manager – RAPIDS

We are looking for a Senior Developer Relation Manager to drive strategic partnerships with ISVs and developer communities who are building data engineering/analytics platforms, applications, solutions, or services.

Data analytics and machine learning applications are important for enterprises in every single vertical to realize ROI. Growing workloads are being constrained by slow infrastructure. NVIDIA RAPIDS is an open-source suite of GPU-accelerated data science and AI libraries. It accelerates performance by orders of magnitude at scale across data pipelines, and provides a foundation for data science libraries and platforms. As a developer relationship manager, you will be an evangelist of RAPIDS to the developer communities, and get RAPIDS integrated into leading open-source projects. You will drive the technical, product, marketing and go-to-market engagement with strategic ISV partners, play a significant role in identifying product gaps and defining future features for NVIDIA's products, and advocate partners’ success with NVIDIA. An ideal candidate has a proven technical background in data science, machine learning, deep learning, and experience of ecosystem development.

What You'll Be Doing

Explore and build the ecosystem in data analytics with leading software companies and developer communities; Build strategic relationships with partners and map the collaboration opportunities with each partner from tech, product, marketing to go-to-market. Drive technical engagement and product collaboration with partners to support partners’ technology, product and solution development with NVIDIA products such as RAPIDS, Spark-RAPIDS and Triton. Collaborate with NVIDIA’s product/engineering teams to influence the NVIDIA product and roadmap development based on the voice of NVIDIA partners and developer communities. Collaborate with marketing teams from NVIDIA and partners to advocate partners’ solutions and showcase solutions that NVIDIA enables. Work with industrial alliance managers, account managers, marketing and business development across industries, and NVIDIA Inception program to highlight partners and drive industry-specific engagements. Evangelize NVIDIA's data analytics technology and product on events and communities.

What We Need To See

BS/MS/PhD in data science, computer science, electrical engineering, math or equivalent experience Strong leadership skills, excellent communication abilities and collaborative attitude Proven technical understanding and experience of data infrastructure and data pipeline engineering, data science, machine learning, deep learning technologies, platforms and landscape Solid understanding and experience of data analytics in one or multiple application domains. Experience in open-source data analytics libraries (ex Pandas, Apache Spark, Scikit-Learn, XGboost, Polars) and platforms (Databricks, Amazon EMR, Google Dataproc) 10+ years of relevant data science engineering and customer support experience

Ways To Stand Out From The Crowd

Experience of building strategic partnerships and ISVs ecosystem Proven history of establishing and building developer communities, organizing grass-root events successfully, generating excitements and overseeing community and developer footprint growth (Discord, GitHub) Background with NVIDIA GPUs, SDKs, platforms or services.

The base salary range is 180,000 USD - 339,250 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.

Key Skills

• Data Science