Nvidia
Senior Product Marketing Manager - Financial Services
US, CA, Santa Clara · Senior
Sponsorship not specifiedDetected 5 days ago
Full-Stack DevelopmentData ScienceAgentic AIPublic Speaking
About the role
- You will codify the "Banking Intelligence" and "AI Trading Factories" that power the future of global finance.
- You will convert complex technical capabilities into clear narratives.
- These narratives will demonstrate how NVIDIA's accelerated computing and AI stack serves as the operating system for financial firms.
Responsibilities
- Update & Maintain the Foundation of our GTM Engine: Turn FSI strategies into clearly defined product marketing capabilities that engage target personas (business and technical).
- Translate NVIDIA Innovation into FSI Business Value: As NVIDIA releases new software, benchmarks and hardware, the PMM will build FSI specific sub-vertical messaging to improve impact and drive consumption across NVIDIA's ecosystem.
- Enhance Sales and Partner Enablement: Combine our updated strategies and FSI messaging to develop new partner assets (i.e. solution briefs, success stories, and training) to help them become more effective demand generation partners, rather than fulfillment channels.
- Drive Developer Engagement via Toolkits: Author targeted technical content in partnership with DevRel, IBD and marketing to scale developer engagement with FSI specific libraries, blueprints and training labs.
- Ecosystem Force Multipliers: Develop the strategic narrative to drive GPU "pull-through" via massive networks in financial services.
- Codify Industry Intelligence: Translate lighthouse wins into repeatable, scalable blueprints for ecosystem partners to replicate High-Stakes Storytelling: Identify "big-picture" success stories within the ecosystem and serve as a lead writer for various audiences, crafting blogs, technical deep-dives, and pitches that help our teams drive both demand and earned media.
- Work with partners to invent "Better Together" solution briefs, presentations, and demos that illustrate how NVIDIA's technology accelerates their specific application in the end market.
- Proven success collaborating across cross-functional teams, multiple external partners; and thriving in fast-paced, evolving environments.
- Familiarity with NVIDIA AI tools and frameworks Consistent record of building go-to-market programs with partners in financial services.
Requirements
- Bachelor's degree or equivalent experience in a technical, financial services, or business field.
- 12+ overall years of financial services experience in product marketing and/or product management.
- Deep understanding of financial services with experience in trading / capital markets.
- What We Need to See: Bachelor's degree or equivalent experience in a technical, financial services, or business field.
- A strategic problem solver who blends domain proficiency with technical curiosity and can drive cohesive storytelling across complex ecosystems.
- Master's degree, MBA, or equivalent experience in business, data science or computer science.
Compensation
- Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.
- The base salary range is 184,000 USD - 287,500 USD.
Benefits
- With competitive salaries and a generous benefits package, we are widely considered to be one of the world's most desirable employers.
- You will also be eligible for equity and benefits.
Company info
- Ways to Stand Out from the Crowd: Experience marketing sophisticated technologies in at least one of our core pillars: trading, banking or payments.
- We are filled with forward-thinking individuals and are rapidly growing.
- NVIDIA is improving the financial services industry, where AI powers trading strategies at the top hedge funds, Agentic AI automates core banking processes, and payments foundation models fight transaction fraud.
Equal opportunity
- NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer.
- equal opportunity employer.
This listing is sourced directly from Nvidia's careers page and normalized into a canonical job model.