Senior Staff GenAI Engineer (APM)

TL;DR

Senior Staff GenAI Engineer (APM): Leading the design and deployment of agentic workflows and GenAI/ML models for Application Performance Monitoring with an accent on automated investigation and incident troubleshooting. Focus on scaling ML systems, benchmarking state-of-the-art models, and driving cross-functional technical initiatives.

Location: New York, New York, USA (Hybrid)

Salary: $272,000 — $340,000 USD

Company

Datadog provides deep visibility into application performance through distributed tracing, profiling, and seamless telemetry correlation.

What you will do

• Serve as the technical owner for GenAI initiatives within APM, leading design and deployment of ML/AI features.
• Guide long-term strategy and technical direction for GenAI workflows across APM and related products.
• Build and benchmark GenAI/ML models using state-of-the-art techniques.
• Collaborate with cross-functional teams to develop automated investigation and triaging tools.
• Mentor engineers and influence engineering culture through design reviews and technical talks.
• Influence product direction by advocating for the end user with a product-minded approach.

Requirements

• 10+ years of relevant engineering experience, with 4+ years leading cross-team initiatives.
• Proven track record of leading large-scale GenAI/ML initiatives in a product-driven environment.
• Proficiency in model development, deployment, evaluation, and optimization of end-to-end ML systems.
• BS, MS, or PhD in a scientific field or equivalent experience.
• Must be based in the USA (Hybrid work model in New York).
• Strong ability to solve ambiguous challenges and lead cross-functional teams.

Nice to have

• Motivation to push the boundaries of AI in software engineering best practices.
• Experience building AI-enabled products.

Culture & Benefits

• Competitive global benefits package including healthcare, dental, and mental health.
• Financial perks: 401(k) plan with match and discounted employee stock purchase plan.
• Generous paid time off and fitness reimbursements.
• Continuous professional development and a culture of learning and teaching.
• High level of influence on product direction and business impact.