Manager II, Engineering - APM Root Cause Analysis (GenAI / LLM)
About The Position
The APM Root Cause Analysis team’s mission is to help engineers and SREs respond rapidly and effectively to incidents affecting their production systems. During an incident, one of the first questions a responder asks is, "What is the change that caused the incident?"—and that's exactly what this team aims to answer. To answer that question, the team is building several impactful systems: A platform to ingest interesting changes from across our customer environments (Deployments, DB changes, Feature Flag changes, K8s changes, etc.) A system to process past incidents in our environment and label the faulty changes that led to the incidents, enabling us to build a high quality evaluation dataset for faulty change detection A system that uses LLM, ML, and statistical models to assess whether a specific change is the cause of an incident A product experience to expose those faulty changes in strategic locations in the product in a way that aids incident response and reduces MTTR As a manager, you will play an active role in shaping the roadmap for automated root cause analysis through collaboration with multiple stakeholder teams. You will have a deep and immediate impact in guiding the product through your design and engineering decisions. At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them.
Requirements
- An experienced software engineering leader with a track record of successfully delivering GenAI/ML products at scale
- Experienced working with high scale distributed systems as well as participating in and structuring on-call processes for them
- You are passionate about building products that solve real user problems, you are adept at formulating an opinion on the product direction and how we should structure our execution strategy
- You have a BS/MS/PhD in a Computer Science, Engineering or related scientific field or equivalent experience
Responsibilities
- Solve challenging and ambiguous problems of automating root cause analysis through faulty change detection using latest agentic AI approaches as well as ML anomaly detection and statistical methods
- Evaluate and benchmark the quality and real-world performance of the automated faulty change detection model
- Lead and mentor a team of experienced software engineers, fostering their career growth while ensuring high team performance
- Drive the technical roadmap in collaboration with your team, product managers, and design teams
Benefits
- New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
- Continuous professional development, product training, and career pathing
- Intradepartmental mentor and buddy program for in-house networking
- An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)
- Access to Inclusion Talks, our Internal panel discussions
- Free, global mental health benefits for employees and dependents age 6+
- Competitive global benefits
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What This Job Offers
Job Type
Full-time
Career Level
Manager
Education Level
Ph.D. or professional degree
Number of Employees
1,001-5,000 employees
