AI Growth Engineer

Role overview Own the engineering behind a company’s marketing website and build AI agents for marketing workflows. You’ll shape the site’s architecture, content systems, integrations, and technical foundations while working closely with brand, design, marketing operations, and forward-deployed engineering. This is a high-autonomy role suited to someone who can move between web engineering and applied AI work.

Responsibilities - Own the website platform end to end, including its structure, content flow, integrations, and evolution of the CMS and underlying stack. - Build interactive web experiences with design and brand partners, and maintain a reusable component system as the site grows. - Implement forms, gated content, event tracking, and attribution so marketing data flows reliably into downstream systems. - Establish localization foundations, including locale routing, URL structure, and language annotations, and support translation workflows. - Deliver technical improvements for search and answer-engine visibility, and introduce engineering practices that support dependable releases. - Develop, deploy, and improve AI agents for marketing; define evaluation criteria, safeguards, and human review, and relay product gaps to engineering teams.

Requirements - Seven or more years of experience in software, web, AI/ML, or growth engineering. - Full-stack engineering skills across application code, APIs, data, and infrastructure, using Python, TypeScript, Node.js, or similar technologies. - Familiarity with AI/ML and agent concepts, including function calling and retrieval-augmented generation; hands-on language-model experience is preferred. - Ability to learn unfamiliar domains quickly and independently scope and deliver work. - Strong ownership and communication skills, including explaining technical choices to non-engineering partners.

Nice to have - Experience owning a marketing website or working with technical SEO and answer-engine optimization. - Experience integrating marketing systems such as CRM, analytics, tag management, or customer data platforms.

Benefits and work setup The source lists medical, dental, and vision plans; flexible paid time off; paid parental leave; retirement savings; a home-office setup budget; and monthly wellness and communication support. Onsite employees may receive meals and commuter support. Base salary is listed at $160,000–$280,000 plus equity, with pay varying by location and candidate qualifications.