AI Software Engineer, Growth

• What you’ll own
• Build fast, compelling, conversion-focused web experiences for high-intent restaurant buyers.
• Create and iterate on landing pages, interactive demos, ROI tools, comparison experiences, and other acquisition products.
• Establish reliable end-to-end attribution from source and campaign through demo booking, qualification, opportunity, and closed revenue.
• Instrument product and marketing events, persist campaign context across domains and tools, and improve data quality across the funnel.
• Design an experimentation system for messaging, offers, page structure, onboarding, calls to action, and acquisition channels.
• Improve technical SEO and GEO foundations, including performance, crawlability, metadata, structured data, internal linking, and content architecture.
• Integrate and automate workflows across analytics, CRM, scheduling, advertising, content, and sales systems using APIs and server-side events.
• Apply AI to accelerate research, content operations, personalization, campaign analysis, and experiment generation while building appropriate review and quality controls.
• Analyze funnel behavior and unit economics, identify the highest-leverage bottlenecks, and ship improvements rather than stopping at recommendations.
• Partner with Growth and Sales to define qualified-conversion metrics and ensure optimization targets reflect pipeline quality, not vanity volume.
• Build reusable systems so the company can launch new product pages, vertical campaigns, and experiments quickly and safely.
• 3+ years of industrial experience in relevant technical domain.
• Strong full-stack web engineering experience, ideally with TypeScript, React, Next.js, APIs, and modern deployment platforms.
• Experience building measurable user funnels, experimentation systems, analytics instrumentation, or growth products in production.
• Working knowledge of SEO, web performance, conversion optimization, paid acquisition mechanics, and attribution; deep expertise in every channel is not required.
• Ability to work with data using SQL or analytics tools and translate findings into prioritized product and engineering work.
• Experience integrating third-party APIs and managing the reliability, consent, identity, and data-quality challenges they create.
• Strong product taste and the ability to write or collaborate on clear, outcome-oriented customer experiences.
• A rigorous approach to experimental design and causality; you know the difference between correlation, directional evidence, and a trustworthy test.
• AI-native working habits and a practical view of where automation needs human judgment.
• Comfort owning business outcomes and collaborating closely with non-engineering partners.
• Competitive Salary and Stock Option Plan.
• Medical, dental, vision, retirement, leave, and disability benefits as applicable.

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