AI Native Engineer, Growth Marketing

The Role

AI is no longer a roadmap item — it's the operating system for how modern growth teams win. We're hiring a AI Native Engineer, Growth Marketing to be the hands-on builder who embeds AI into every corner of how our Growth team works: performance marketing, creative production, CRM, landing pages, growth ops, and beyond.

This is a rare hybrid role. You're equal parts engineer and growth practitioner — someone who can write a Python script in the morning, ship a Braze-connected AI workflow by afternoon, and explain the business impact to a non-technical stakeholder by EOD. You don't need to have done this at scale before — you need to be obsessed with building at the frontier of what's possible and have the technical chops to make it real.

You'll report directly to the Head of Growth and work across every subteam in the Growth org as their embedded AI engineer.

Responsibilities

Performance Marketing: Build AI-powered tools to automate bid strategy analysis, budget pacing alerts, creative performance scoring, and anomaly detection across paid channels (SEM, Meta, Affiliate, YouTube, etc.)

Creative Studio: Develop AI workflows for ad copy generation, creative brief automation, image asset variation at scale, and creative performance feedback loops between analytics and the studio team

CRM & Lifecycle: Implement AI-driven personalization and send-time optimization across email, SMS, push, and in-app channels; build agentic workflows that pull Snowflake data, generate segment logic, and trigger Braze campaigns with minimal manual intervention

Landing Pages & Conversion: Automate LP variant generation, headline testing ideation, and personalization logic by audience segment or traffic source

Growth Ops: Build internal AI tools — dashboards, Slack bots, report generators — that reduce repetitive analytical work and accelerate decision-making across the team

Growth Product: Partner with Product and Engineering to identify where AI-powered features (recommendations, dynamic content, smart nudges) can accelerate funnel conversion and retention

Tooling & Infrastructure: Evaluate, implement, and maintain the AI/ML toolstack that powers Growth — from LLM APIs to workflow orchestration tools to data pipelines

What Success Looks Like

A measurable reduction in manual hours across mundane Growth through AI-driven automation

At least 5-10 production-grade AI tools or workflows live and actively used by the team within the first 4 months

CRM campaigns that are more personalized, faster to launch, and higher-performing because of AI assist

Creative output volume increases without a proportional increase in headcount

The Growth team thinks of you first when they want to do something smarter, faster, or at scale

Qualifications

2–5 years of engineering or technical experience, with meaningful hands-on work applying AI/LLMs to real business problems (side projects count — we care about what you've built, not just where)

Proficiency in Python or Typescript and comfort working with APIs (OpenAI, Anthropic, or similar LLM providers)

Build repeatable skills or plugins for popular LLM clients to empower your team

Educate and mentor team members to become more AI-Native

A builder's mentality: you'd rather ship a working prototype than write a spec about one

Ability to work cross-functionally and translate between technical and non-technical stakeholders

Preferred requirements

Experience with workflow orchestration tools (Agent SDK, n8n, Make, Zapier, or custom Typescript/Python pipelines)

Prior work at a DTC subscription company or growth-stage startup

Familiarity with prompt engineering, RAG architectures, or fine-tuning

Experience building internal tools used by non-technical teams

Familiarity with marketing platforms and data infrastructure — ideally some combination of Braze, Google Ads, Meta Ads Manager, Snowflake, or equivalent

Strong enough understanding of growth marketing to ask the right questions and build tools that practitioners actually want to use

Technologies You'll Use

LLM APIs: OpenAI, Anthropic, and/or open-source models

CRM & Marketing: Braze, Google Ads, Meta Ads Manager

Data: Snowflake, SQL, Tableau, dbt, Hex

Orchestration: Typescript, Agent SDK, Vercel AI SDK, Python, n8n, Make, or similar

Collaboration: Slack, Notion, Jira, Google Workspace

🩺 Healthcare Benefit: Monthly stipend to use in your preferred healthcare provider

🗓️ 5- year Sabbatical: After 5 years with CookUnity, you get a 4-week paid sabbatical

🐣 Paid Family leave

🕯 Compassionate Leave: 3-5 days each time the need arises