Growth Engineer

Overview

Own the systems behind how Cresta shows up on the internet: the cresta.com web platform and custom AI agents for marketing use cases.

What you'll do

• Own how cresta.com is built end to end, including its structure, content flow, and connections to other systems.
• Set the technical vision for how the website stack and CMS should evolve to meet business needs and marketing workflows.
• Partner with brand and design on interactive experiences that carry Cresta's identity, architecting and building them.
• Own the component system so the site stays consistent as it grows.
• Own the instrumentation where the site meets the GTM stack, including forms, gated content, event tracking, and attribution, in partnership with marketing ops.
• Build the technical foundation for localization, including locale routing, URL architecture, and hreflang, partnering with the web strategy lead on CMS translation workflows and content structure.
• Put in engineering practices that let the team move quickly without breaking things.
• Ship the technical work behind SEO and AEO programs, in partnership with the owners of those programs.
• Develop, configure, deploy, and optimize AI agents on Cresta's platform for marketing use cases, alongside the forward deployed engineering team.
• Take agents from prototype to production, including evaluation criteria, guardrails, and human review steps for prospect-facing work.
• Provide a feedback loop to product and engineering teams by identifying gaps, building custom tooling, and influencing the roadmap.

What you'll need

• 7+ years working in software development, web development, AI/ML engineering, or growth engineering.
• Strong across the stack, including application code, APIs, data, and infrastructure, in Python, TypeScript, Node, or similar.
• Familiarity with AI/ML concepts.
• A track record of learning a domain fast and going deep.
• High agency: defines own work, ships without being told what to build, and treats gaps as yours to close.
• Strong understanding of general AI agent frameworks, function calling, and retrieval-augmented generation (RAG).
• Comfortable as the deepest technical voice on a non-engineering team, scoping ambiguous requests and explaining tradeoffs to marketers.
• Ownership: treats the outcome as yours, including when something breaks or was built badly before you arrived.

Nice to have

• Hands-on experience with large language models (LLMs) and prompt engineering techniques.
• Experience owning a marketing website.
• Technical SEO and AEO experience grounded in tests rather than theory.
• Marketing and GTM systems integration: HubSpot, Salesforce, Marketo, Segment, GA4, GTM.

Details

• Location: United States (Remote).
• Compensation: base salary range $160K - $280K plus equity, based on experience, skillset, location, and local minimum pay requirements.