
Flint
San Francisco, CA
AI platform for autonomous websites and landing pages
About
Flint builds an AI platform that autonomously generates, optimizes, and updates custom landing pages and web experiences for marketing and growth teams. It creates on-brand pages tailored to keywords, ads, and customers, integrating with existing sites to improve SEO, conversions, and reduce CAC without engineering dependency. The platform powers dynamic websites that adapt to visitor behavior and market changes for fast-growing startups.
Tech stack
React, TypeScript, AWS, Docker, Next.js, Tailwind
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7Own customer strategy and lifecycle growth for an AI marketing platform, guiding self-serve and mid-market customers from onboarding through expansion and renewal. The role requires 4+ years of customer-facing experience, marketing fluency, strong writing, and the ability to translate product feedback into action.
The Paid Acquisition Manager will manage and scale customer acquisition across Google Ads and Meta Ads, optimizing campaigns, tracking, landing pages, and budgets across multiple accounts. The role requires 5–10 years of hands-on paid acquisition experience, strong customer communication, and agency or multi-account experience.
Flint is seeking an Infrastructure Engineer to own the systems powering their AI-generated pages at scale. This 0-to-1 role involves building production-grade cloud architecture, CI/CD, deployments, observability, and security, with a focus on managing parallel background agents.
Flint is seeking a Business Operations professional to manage cross-functional projects, optimize business processes, and support finance and people operations. This role requires a high-trust generalist who can operate autonomously and deliver without close supervision.
Flint is seeking its first Customer Success Manager to act as a strategic advisor to marketing teams, owning the customer relationship from sign-up through expansion. This role involves onboarding, monitoring customer health, driving new use cases, and developing case studies.
Builds production-grade agentic AI systems for autonomous websites, including RAG optimization, multi-agent architectures, and full-stack development integrating AI into web apps. Requires hands-on prompt engineering, model fine-tuning, and product-first experience deploying user-facing AI products.
Build agentic AI systems for autonomous websites that generate and optimize landing pages across frontend, backend, and infrastructure. Requires strong full-stack experience, AI tools proficiency, and rapid prototyping with users.