This job listing expired on Apr 22, 2020
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One Passion. One Culture. Endless Opportunity.

At NVIDIA, our employees are passionate about parallel and visual computing. We're united in our quest to transform the way graphics are used for work and play. Our technology impacts the visual experience in video game development, film production, space exploration, medicine, computational finance and automotive design. And we've only scratched the surface of what we can accomplish when we apply our technology to it. We need passionate, hard-­‐working and creative people to help us seek some of these unrivaled opportunities.

At NVIDIA, we work, think and learn as a team. We thrive in a deeply strong environment and we're passionate about a culture that demands innovation and the highest standards. The rewards are sweet and include collaborating with some of the smartest people in the industry, an aggressive compensation plan that rewards top performers, and the opportunity to work on products that transform the way people work and play.

We are looking for a Relations Manager for Fintech in EMEA.

NVIDIA is searching for an extraordinary Developer Relations / Alliance Manager to identify innovative alliances and deliver programs that accelerate the availability of GPU-accelerated AI applications in the Fintech market by helping developers understand the value of our hardware products and SDKs in addressing critical business opportunities.

You should have a strong working knowledge of one or more aspects of GPU-accelerated computing, including artificial intelligence, deep learning, data analytics, and machine learning including the knowledge of underlying software and hardware architectures.

You will ensure a positive experience for external customers and partners while working cross functionally within our organization. You should be comfortable working in a dynamic environment experiencing rapid growth. You will use your leadership skills and ecosystem contacts to connect developers to NVIDIA’s resources. Working independently is important, and you will rely upon your excellent communication skills during customer engagements, and to communicate opportunities and threats internally.

What You'll Be Doing

  • Localize and implement a technical and business strategy to win GPU adoption within leading Fintech companies in areas such as digital banking, robo-advisory, InsureTech, payments, personal finance and online lending.
  • Build and influence key data science relationships to evangelize and develop our leadership position.
  • You will lead targeted industry developer events and activities.
  • Coordinate technical and engineering activities spanning product divisions and sales geographies, particularly with solution architects and engineering resources.
  • Contribute towards our technical strategy and development of our value messaging for your companies. Be a key advisor on how we are differentiated.
  • Coordinate with our Fintech leadership team and global DevRel peers
  • Evangelize our Developer Program and help your partners get the most out of our SDKs while building the business case for new software investments.

What We Need To See

  • You will show an understanding of how to work cross functionally with multiple internal organizations to deliver customer and partner value.
  • Demonstrate that you have a good understanding of AI/ML/DL technologies.
  • Demonstrate familiarity with one or more aspects of the Fintech industry.
  • An established ability to influence and evangelize at operational and leadership levels (esp. engineering/ product management) to achieve a technical partnership
  • Show that you are able to communicate clearly and concisely to accelerate strategic decisions
  • Ability to articulate & demonstrate GPU hardware and SDKs value proposition to Fintech developers
  • Master’s degree in Computer Science or similar technical degree or background.
  • 6+ years of experience
  • Regional travel 20-30 % of the time.

Ways To Stand Out From The Crowd

  • Additional relevant degrees (Ph.D with a data science or financial services emphasis, MBA, etc).
  • Multiyear experience in an AI or Data Science role.
  • Familiarity with key use cases such as transaction fraud, anti-money laundering, or NLP.
  • Familiarity with open source data science tools, especially GPU accelerated ones.
  • Experience in financial service industry firms, especially across multiple vertical segments.
  • Strong analytical, problem solving, and negotiation skills, using data analysis to support strategic decisions
  • Excellent social, organizational, planning, and prioritization skills
  • Ability to work under stress, interruptions and around tight deadlines
  • You should demonstrate strong communication skills (both verbal and written) and evidence of your ability to represent NVIDIA externally, including presenting at conferences, Meetups, etc..

NVIDIA has continuously reinvented itself over two decades.

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world.

This is our life’s work — to amplify human imagination and intelligence.

With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most brilliant and talented people in the world working for us and, due to extraordinary growth, our elite engineering teams are fast-growing fast. If you're a creative and autonomous manager with a sincere real passion for technology, we want to hear from you.

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, colour, national origin, gender, gender expression , sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.