AI Automation Engineer

Location: Remote or hybrid London & San Francisco Company Stage: Seed / Series A (Raised $10M+ in equity financing) Team: Operations & AI Experience: 1–4+ years building custom automations Compensation: Competitive salary Other perks: Unlimited holiday Why Join CRED? CRED is an AI Native Command Center for businesses. We centralize internal and external company data and pair it with real-time insights to help leaders make better decisions and anticipate the future. With early traction in sports and entertainment—including partnerships with the PGA, Golden State Warriors, and more—and a fresh $10M+ raise, we're scaling fast. We operate one of the world's most comprehensive business datasets—tracking customers, people, companies, and related signals. We train LLM-powered agents on this data to drive meaningful outcomes for our users across customer support, product development, go-to-market, and more. At CRED, you'll work on high-impact problems at the intersection of AI, data, and operations. You'll have ownership, influence, and a direct line to product and leadership. If you thrive in fast-paced environments with tight feedback loops and full-stack thinking, you'll love it here. What You'll Be Working On: As an in-house AI Automation Engineer, you'll partner closely with operations, product, and data teams to build smart, scalable automations that create leverage across the business. You'll focus on high-impact initiatives like: - Customer support automation - Product analytics & insight generation - Automated QA for engineering and data teams - Competitor research agents - Internal documentation & release notes automation - GitHub and project management automation - In-app AI assistant workflows (via GraphQL APIs) - Commercial enablement workflows (sales, marketing, partnerships) This role is critical in helping us scale efficiently and make smarter decisions with better data. Who We're Looking For: We're seeking a technically skilled, data-savvy automation engineer who is excited by AI, fast feedback loops, and cross-functional problem-solving. You should be: - Experienced: 1–4+ years building custom automations in high-growth environments - Fluent in Python: Comfortable writing robust, reusable code to interface with APIs, parse data, and automate complex workflows - Data-First: Deep familiarity with data pipelines, structured data, and analytical workflows - Comfortable with Cloud Platforms: Familiar with AWS, GCP, or Azure for deploying and scaling automations - Fast & Impact-Oriented: Able to move quickly, prioritize ruthlessly, and iterate fast - Cross-Functional: Comfortable working across product, ops, and engineering - Tool-Savvy: Experience with modern no-code and low-code stacks like: - n8n - Make.com - Relevance AI - Gumloop - Cursor - Selenium / Puppeteer (for browser automation) Bonus if you also have: - Full-stack coding experience - Experience in automating QA and DevOps - Hands-on exposure to building agent-based systems - Experience at early-stage startups