NVIDIA Logo

NVIDIA

Senior Product Marketing Manager, Industrial and Computational Engineering

Posted An Hour Ago
Be an Early Applicant
Remote
Hiring Remotely in Canada
Senior level
Remote
Hiring Remotely in Canada
Senior level
Leads product marketing for NVIDIA’s computational engineering solutions, defining launch strategy, positioning, messaging, go-to-market plans, and enablement assets. Aligns product, sales, marketing, partners, customers, public relations, and engineering teams to drive adoption and revenue. Translates complex CAE, semiconductor, EDA, and AI-Physics technologies into compelling narratives through presentations, blogs, whitepapers, webinars, demos, and customer materials.
The summary above was generated by AI

At NVIDIA, we’re solving the world’s most challenging problems with our unique approach to accelerated computing. We’re looking for a passionate marketing expert to join the NVIDIA team building our products to accelerate Computer-Aided Engineering Industries. This role is responsible for driving messaging, positioning, and creating associated assets that clearly communicate the value proposition for NVIDIA in the Computational Engineering. If you want to drive the adoption of groundbreaking technologies and make a difference, in a fun, dynamic work environment, we want you to join us.

Industrial Engineering is a high priority, visible and growing area both inside and outside of NVIDIA. We need a self-starting leader to continue to grow this area. Do you have the rare blend of both technical, positioning and communication skills? Are you passionate about groundbreaking technology? If so, we would love to learn more about you!

What you’ll be doing:

  • Leading: Take a leadership role in defining product launch strategy and driving go-to-market plans that include effective messaging, positioning, and differentiation for the product narrative

  • Influencing: Be the product advocate by aligning sales, marketing, partners, and customers to the product mission and revenue opportunities

  • Building: Bring ideas to life through crisp, clear product marketing strategies for product adoption and growth; follow through on ideas with marketing and sales/partner enablement assets including blogs, whitepapers, webinars, demos, and customer and partner decks

  • Presenting: Deliver ideas clearly with confidence using slides, whiteboards, and other creative approaches, translating technology capabilities to messaging that meet the needs of various audiences

  • Collaborating: Implement product marketing plans by tapping into product management, sales, campaign marketing and PR, and engineering teams

What we need to see:

  • Degree in Computer Engineering, Computer Science, Chemistry, Applied Mathematics, or related engineering field or equivalent experience (Ph.D. or Masters preferred)

  • 8+ years product marketing and/or product management experience with software or hardware products.

  • Solid working knowledge of and experience with CAE, Semiconductor, EDA, or AI-Physics workflows.

  • Experience at a technology company defining value proposition and messaging for SDKs or libraries.

  • Passionate about and experienced in storytelling and engaging audiences as part of crafting product marketing initiatives.

  • Strong abilities to set task level goals, develop creative solutions to sophisticated problems, and identify untapped opportunities.

  • Skilled in articulating ideas and concepts to team members, customers, partners, and media using cohesive written and oral skills.

Ways to stand out from the crowd:

  • A portfolio showing successful product launches, product campaigns, and writing and presentation samples.

  • Strong familiarity in how to investigate and apply customer insights, competitive intelligence, and market research to product marketing activities and assets

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 140,000 CAD - 190,000 CAD for Level 4, and 185,000 CAD - 235,000 CAD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until October 5, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

Similar Jobs

42 Minutes Ago
Remote
Canada
Mid level
Mid level
Artificial Intelligence • Cloud • Consumer Web • Productivity • Software • App development • Data Privacy
Manage adoption, customer health, renewal readiness, and growth across a scaled B2B SaaS portfolio. Design lifecycle campaigns, analyze customer and retention signals, coordinate renewal actions, triage inbound requests, conduct targeted customer conversations, and surface qualified expansion opportunities. Partner cross-functionally with Renewals, Sales, Product, Marketing, Support, and Customer Experience teams while delivering portfolio forecasts and executive updates.
Top Skills: Ai-Enabled SaasB2B SaasBusiness Intelligence ToolsCrm SystemsCustomer Success PlatformsCustomer-Data SystemsMarketing Automation
An Hour Ago
In-Office or Remote
CA
Mid level
Mid level
Blockchain • eCommerce • Fintech • Payments • Software • Financial Services • Cryptocurrency
Own third-party risk management and business continuity programs while building production data pipelines, integrations, policy-as-code controls, continuous monitoring, and agentic AI workflows. The role requires defining technical direction, integrating imperfect data sources, automating evidence collection, and partnering across Security, Procurement, Resilience, and Engineering teams to improve governance and operational resilience.
Top Skills: AWSBuildkiteCi/CdClaudeGCPGoGrpcHTTPJavaJSONKotlinKubernetesLlm ApisModel Context ProtocolProtocol BuffersPythonRest ApisSnowflakeSQLTerraform
An Hour Ago
In-Office or Remote
CA
Senior level
Senior level
Blockchain • eCommerce • Fintech • Payments • Software • Financial Services • Cryptocurrency
Lead data modeling and ownership of critical pipelines supporting Block’s product data foundation. Build reliable, governed, and monitored datasets, data quality and lineage systems, experimentation infrastructure, and AI-assisted automation. Partner with product and engineering teams to translate business needs into end-to-end data solutions, participate in on-call support, and maintain pipeline SLAs.
Top Skills: AirflowDatabricksDbtGitOmniPrefectPythonSnowflakeSQLTerraform

What you need to know about the Montreal Tech Scene

With roots dating back to 1642, Montreal is often recognized for its French-inspired architecture and cobblestone streets lined with traditional shops and cafés. But what truly sets the city apart is how it blends its rich tradition with a modern edge, reflected in its evolving skyline and fast-growing tech industry. According to economic promotion agency Montréal International, the city ranks among the top in North America to invest in artificial intelligence, making it le spot idéal for job seekers who want the best of both worlds.

Key Facts About Montreal Tech

  • Number of Tech Workers: 255,000+ (2024, Tourisme Montréal)
  • Major Tech Employers: SAP, Google, Microsoft, Cisco
  • Key Industries: Artificial intelligence, machine learning, cybersecurity, cloud computing, web development
  • Funding Landscape: $1.47 billion in venture capital funding in 2024 (BetaKit)
  • Notable Investors: CIBC Innovation Banking, BDC Capital, Investissement Québec, Fonds de solidarité FTQ
  • Research Centers and Universities: McGill University, Université de Montréal, Concordia University, Mila Quebec, ÉTS Montréal

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account