We're a new team building AI-assisted product experiences that help Datadog customers go from investigation to action, by enabling conversational workflows, guided remediations, and codefixes that address the root cause of production issues.
We're looking for a product-minded engineer to help us quickly define and ship applied AI experiences across chat, remediations, and codefixes. This role sits at the intersection of backend engineering, product development, and prompt engineering, with a strong emphasis on building reliable, production-quality AI systems.
At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.
What You'll Do:
- Work closely with product managers, designers, and engineers to build and iterate on AI-powered product experiences in Bits AI SRE.
- Develop customer-facing systems across chat, remediations, and codefixes that help users resolve production issues more quickly.
- Work on prompts, evaluation loops, and backend systems to make applied AI workflows reliable, useful, and production-ready.
- Prototype quickly, test what works in the real world, and iterate rapidly to ship new product capabilities.
- Build the infrastructure and product logic needed to connect AI outputs to meaningful actions, including operational remediations and generated code changes.
- Collaborate with partner teams across Datadog to expand remediation capabilities and integrate with systems that support investigation, automation, and code generation.
- Follow the latest developments in LLM prompting, agent design, and applied AI product development, and bring strong judgment about what is practical to use in production.
Who You Are:
- You're an engineer with at least 5 years of professional experience, with strong backend engineering skills and a product mindset. You have experience building production systems in Go (or similar) and have worked with LLM-based systems in practice.
- You are excited about applied AI and motivated by building product experiences that help users take meaningful action, not just generate insights.
- You have experience with prompt engineering, evaluation, and iteration for LLM-powered systems, and know how to improve quality through experimentation and feedback.
- You have strong engineering fundamentals and can build the systems needed to productionize AI features, including integrating model behavior into reliable user-facing products.
- You are comfortable operating in a fast-moving environment with high ambiguity, and enjoy prototyping, learning quickly, and shipping early versions of new ideas.
- You collaborate well with cross-functional partners and can work effectively with product, design, and engineering to sh