**Overview:** We are looking for a senior automation engineer to build a small set of AI-powered workflows using Claude (Anthropic API), Workato, and our existing marketing/data stack (Meta Ads + Google Analytics 4). This is a **short-term, execution-focused project**. The goal is to connect existing systems and create a lightweight automation layer — **not to build infrastructure or systems from scratch**. --- **Important – Scope Clarification (Read Carefully):** This project is strictly focused on **integration and orchestration using existing tools**. We are **NOT** looking for: * Custom backend development * Building databases or infrastructure * Training models or building AI systems * Full-stack/product development We **ARE** looking for someone to: * Connect APIs (Claude, Meta Ads, GA4) * Structure and transform data flows * Build workflows in Workato (or similar) * Add AI processing on top of existing data Think: → API integrations + workflow automation + AI processing NOT: → Building new systems from scratch --- **Tech Stack (Fixed):** * Claude (Anthropic API) * Workato (primary orchestration layer) * Meta Ads API * Google Analytics 4 (API and/or BigQuery) --- **Project Scope (Phase-Based):** **Phase 1 – Setup & First Workflow (Week 1)** * Set up and validate all API connections: * Claude API * Meta Ads API * GA4 (API / BigQuery) * Configure Workato environment * Define basic data flow (input → Claude → structured output) * Implement logging and basic error handling **Deliverable:** 1 simple, working end-to-end workflow --- **Phase 2 – Core Workflows (Week 2–3)** Build the core automation layer: Examples: * Combine Meta + GA4 data → send to Claude → return structured insights * Detect performance changes → trigger AI-generated analysis * Normalize data into a consistent schema Requirements: * Modular, reusable workflows (not one-offs) * Structured outputs (JSON, not text blobs) * Clean and stable logic **Deliverable:** 3–5 core workflows running --- **Phase 3 – Iteration & Optimization (Week 3–4)** * Add conditional logic and improvements where needed * Optimize API usage (cost, latency) * Implement safeguards (rate limits, retries, fallbacks) * Extend workflows selectively (no overengineering) **Deliverable:** Stable, optimized workflows ready for ongoing use --- **Workload Expectation (Important):** This is not a large-scale system build. The scope is to: * Set up integrations * Build a **small number of high-impact workflows first (3–5)** * Then iterate and improve We prioritize: → Speed of execution → Simplicity → Working solutions Not: → Large, complex systems → Over-engineering --- **Requirements (Must-Have):** * Strong experience with **Workato** (or similar advanced automation tools) * Experience integrating **LLMs via API** (Claude, OpenAI, etc.) * Solid understanding of **APIs, webhooks, and JSON** * Experience with **Meta Ads and/or GA4 data** * Ability to design clean, modular workflows --- **Nice to Have:** * BigQuery / data pipeline experience * Performance marketing background * Experience with AI-driven reporting or insights --- **Timeline & Availability:** * Start: ASAP * Duration: ~3–4 weeks * Availability: 20–40 hours/week --- **To Apply, Include:** 1. Examples of similar work (AI + APIs + automation) 2. Details of your Workato experience 3. Confirmation of availability 4. Your hourly rate --- We are looking for someone who can **execute quickly, think in systems, and deliver without hand-holding**.