Top Computer Vision Marketing Jobs in San Francisco, CA

The Sr. Growth Marketing Manager will design and execute demand generation strategies for new products, collaborate with sales, and analyze campaign performance to drive growth and revenue.

The Staff Product Marketing Manager will drive go-to-market strategies for browser security, focusing on messaging, product launches, market intelligence, and sales enablement while collaborating across departments.

The Campaign Operations Manager will manage lead operations, optimize Marketo and Salesforce integrations, and oversee campaign execution processes.

The role entails positioning and launching products, developing content for B2B markets, collaborating with sales, and driving vertical strategies in AI and computer vision.

The Growth Manager will oversee multi-channel campaigns targeting Physical AI teams, focusing on customer engagement, pipeline generation, and performance analysis in HubSpot.

No job responsibilities provided. Posting only lists compensation: base pay range $130,000-$225,000 per year. No duties, qualifications, or location details included.

Lead end-to-end growth for a pre-launch consumer hardware startup: set strategy, build brand voice, grow a pre-launch audience, run creative-led paid and organic programs, manage contractors and a small team, use AI to accelerate content and research, and report on full-funnel KPIs to drive acquisition, activation, and retention.

The Technical Product Marketing Manager will create technical content, run growth experiments, build PR relationships, and develop marketing processes to enhance product visibility and positioning.

The Senior Product Marketing Manager will shape the product and business roadmap, develop messaging and positioning, and execute go-to-market strategies for new capabilities in a B2B SaaS environment.

Lead media relations, prepare executive briefings and reporter backgrounders, manage awards and speaking programs, draft product/feature announcements, maintain editorial calendars and internal reporting, pitch and secure media opportunities, and partner with Research, Engineering, Product, and Marketing to translate complex AI research into public-facing stories.