Granica
Marketing Manager – B2B Data & AI Infrastructure
Bay Area Office. Posted yesterday
The role
You will build Granica's marketing presence from the ground up. You will translate sophisticated technology into messaging, customer stories, campaigns, and sales opportunities by working with CEO, Product, Research, Engineering, and Sales teams.
What you will do
- Develop clear, differentiated messaging across Granica's products.
- Support product launches, competitive positioning, customer use cases, and go-to-market initiatives.
- Partner with Sales to create presentations, battlecards, ROI narratives, and case studies.
- Create technical and business content including blogs, customer stories, and research announcements.
- Build and execute targeted campaigns, events, and programs to increase awareness and generate pipeline.
- Establish foundational marketing processes, tools, performance metrics, and scalable programs.
Required qualifications
- 5+ years of experience in B2B technology marketing, ideally in product marketing, growth marketing, or a combination of both.
- Experience marketing technical products in data infrastructure, AI/ML, cloud, databases, developer tools, or enterprise software.
- Strong writing, messaging, and storytelling skills.
- Demonstrated experience executing marketing initiatives independently.
- Familiarity with enterprise sales cycles and collaborating closely with Sales and Product teams.
- A builder mentality: resourceful, adaptable, comfortable with ambiguity.
Nice to have
- ideally in product marketing, growth marketing, or a combination of both
Benefits
- Competitive salary
- Meaningful equity
- Performance bonus for top performers
- 401(k) with company match
- Comprehensive health coverage
- Unlimited PTO
- Daily catered meals in our Mountain View office
- Support for research, publication, and conference participation
About the company
Granica helps enterprises run AI for less, from the data layer to agent execution. The company operates at the intersection of data infrastructure, AI systems, and applied research.