2 months ago
Base Salary
$234k - $300k/yr
Responsibilities
- Drive the design and implementation of LLM observability features.
- Prototype and scale product features for monitoring and improving generative AI systems.
- Develop tools for tracing, evaluating, and debugging LLMs.
- Collaborate cross-functionally with engineering, product, UX, and applied science teams.
- Influence architecture decisions and mentor engineers building resilient, high-performance systems.
- Use customer pain points and industry developments to guide product and engineering priorities.
Requirements
- Bachelor’s, master’s, or PhD in computer science, engineering, or a related scientific field, or equivalent experience.
- Deep understanding of distributed systems and scalable backend architectures.
- Hands-on experience building and shipping LLM-powered or generative AI applications.
- Understanding of model internals, inference pipelines, evaluation techniques, and prompt engineering.
- Experience with observability tools or platforms.
- Ability to work in ambiguous, rapidly changing environments with a product-oriented mindset.
- Clear communication, rigorous thinking, and commitment to clean, maintainable code.
Benefits
- Hybrid workplace designed to support collaboration and work-life harmony.
- Competitive global benefits that vary by country and employment arrangement.
- Continuous professional development and learning opportunities.
- Healthcare, dental, parental planning, mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan.
- Competitive salary and equity package, with variable compensation potentially included.
Tech Stack
Datadog
Categories
About Datadog
Datadog builds a SaaS observability and security platform that monitors infrastructure, applications, logs, and services for engineering and DevOps teams. Its products include infrastructure monitoring, APM, log management, real user monitoring, and cloud security, sold via subscriptions and used across cloud-native and hybrid environments. Founded in 2010 and headquartered in New York City, Datadog is a public company trading on NASDAQ under the ticker DDOG.