🛠 Tech Stack

💼 About This Role

You'll build AI-powered product experiences that help Datadog customers resolve production issues through conversational workflows, guided remediations, and codefixes. You'll sit at the intersection of backend engineering, product development, and prompt engineering, with a strong emphasis on building reliable, production-quality AI systems. You'll have the chance to prototype quickly and iterate rapidly in a fast-moving environment.

🎯 What You'll Do

• Build and iterate on AI-powered product experiences with cross-functional teams.
• Develop customer-facing systems across chat, remediations, and codefixes.
• Work on prompts, evaluation loops, and backend systems for reliable AI workflows.
• Prototype, test, and iterate rapidly to ship new product capabilities.
• Build infrastructure and product logic to connect AI outputs to meaningful actions.

📋 Requirements

• At least 5 years of professional software engineering experience.
• Strong backend engineering skills with Go (or similar language).
• Experience building production systems with LLM-based systems in practice.
• Experience with prompt engineering, evaluation, and iteration for LLMs.

✨ Nice to Have

• Experience with Kubernetes or systems related to production remediation and operational automation.
• Demonstrated ability to use AI coding tools in day-to-day workflows and refine AI-generated output.
• Motivated to push boundaries of how AI can improve software engineering best practices.

🎁 Benefits & Perks

• 🏖️ Competitive global benefits
• 💰 Equity package
• 📈 401(k) plan and match
• 🏋️ Fitness reimbursements
• 📚 Continuous professional development

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter screen· 30 min
2. 2Technical interview· 60 min
3. 3Hiring manager interview· 45 min