The Challenge
NVIDIA's GPU computing dominance is reshaping AI and data processing-but data scientists don't yet know how to unlock this potential. You'll be the voice translating cutting-edge accelerated computing into measurable adoption across finance, retail, and manufacturing.
Your Mission
Audit competitive positioning and map data science ecosystem personas to NVIDIA's data processing portfolio
Launch 3-5 technical assets (blogs, demo videos, webinar scripts) targeting data engineers and scientists
Establish baseline adoption metrics across key customer segments and define tracking dashboards
Build go-to-market strategy and messaging framework for 2-3 core data processing products
Drive measurable adoption lift (target: 25%+ increase in developer engagement) through content and community programs
Present at 3+ industry events/conferences and grow social following by 40% with technical thought leadership
Collaborate with product and sales to ship 2 major GTM campaigns with documented pipeline impact
Create competitive battle cards and positioning playbooks used by sales across 4+ vertical markets
KPIs You'll Own
Product Adoption Rate
Month-over-month growth in data scientists and engineers adopting NVIDIA SDKs measured via developer telemetry.
Content Engagement
Views, shares, and conversions on blogs, videos, and technical presentations targeting data science personas.
Pipeline Influence
Attributed pipeline revenue from marketing campaigns and collateral supporting data processing platforms.
Community Impact
Conference presentations, webinar attendance, GitHub stars, and social media reach within data science community.
Tools & Stack
Your Team
Your Manager
VP/Director of Product Marketing (inferred)
Current Team
Cross-functional: product, engineering, sales, developer relations teams
New role or backfill not specified
The Package
Salary
$180K-$220K base
Equity
Likely (NVIDIA standard for senior roles)
Remote
On-site, Santa Clara, CA
Benefits & Perks
Company Intelligence
NVIDIA designs GPUs and accelerated computing platforms that power AI, gaming, data centers, and autonomous systems. The company has driven innovation in computer graphics and accelerated computing for 25+ years and is now at the center of the AI revolution.
Customers
Financial services, retail, manufacturing, scientific research, automotive
Culture
Diverse, supportive, innovation-focused, high-performance engineering teams
Is This Role For You?
- You've launched 2+ technical products for developers or data science practitioners and can tie it to adoption metrics
- You genuinely understand data science workflows, Python ecosystems, and common ML frameworks (PyTorch, TensorFlow, scikit-learn)
- You're comfortable reading and explaining code in technical content and can collaborate credibly with engineers
- You have a portfolio of published technical content (blogs, videos, presentations) with measurable engagement
- You need work flexibility-this is 100% on-site in Santa Clara with no remote option
- Your PMM experience is primarily B2C, consumer, or non-technical products
- You can't articulate specific metrics and business impact from previous roles (NVIDIA values measurable outcomes)
Interview Process
Recruiter screen
Background verification, role fit, expectations alignment
Hiring manager interview
Deep dive into product marketing experience, data science domain knowledge, and GTM strategy thinking
Technical assessment
Review of your portfolio (blogs, videos, social presence) and discussion of technical depth
Cross-functional panel
Conversations with product, engineering, and sales stakeholders to assess collaboration fit
Executive round
Final conversation with director/VP level to discuss strategic vision and company fit
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About Product Marketing roles
Product marketers are the bridge between product and market. They own positioning, messaging, go-to-market launches, competitive intelligence, and sales enablement. The best PMMs make complex products feel simple.