Manager I, Engineering - Anomaly Detection
Lead an engineering team focused on building scalable anomaly detection systems using AI and machine learning.
Posted by employer 7 hours ago
First seen on Joblaze 3 hours ago
Last verified on the company career page 3 hours ago
Skills & Technologies
What you'll build
- Lead and develop an existing engineering team
- Own the roadmap and execution for key signal finding systems
- Build and operate machine learning systems in production
- Drive AI-native development practices
- Collaborate with product management and applied scientists
Must have
- Experience with distributed systems
- Experience with Java, Python or Go
- Strong cross-team collaboration skills
Nice to have
- Direct experience building ML models in production
- Familiarity with streaming technology like Flink or Kafka
Role intensity
10% coding — mostly leadership/strategy
AI in the day-to-day
Drive the team's AI-native development practices, setting high standards for safety and validation.
Not disclosed in this posting: years of experience, visa sponsorship.
Benefits
Joblaze summary
In this role, the engineering manager leads a team focused on developing scalable systems for anomaly detection in customer telemetry, ensuring proactive problem identification without manual configuration. Key skills include experience with distributed systems and proficiency in programming languages like Java, Python, or Go, along with a background in machine learning. This position is suited for an experienced manager who can navigate ambiguity and contribute to product strategy. Datadog emphasizes a collaborative office culture and operates in a hybrid work model.
Joblaze insights
- Listed today — first seen on Joblaze October 7, 2026. Last confirmed on Datadog's careers page October 7, 2026.
- Salary band is above the typical range for Management roles (median ~$170,000).
- Starts above 46% of 46 comparable lead management roles in United States that list Python we track (median $196,000 across 28 companies). See Python salary trends
- Python appears in 12.8% of 546 comparable lead management roles in United States; Machine Learning appears in 1.3% of 546 comparable lead management roles in United States.
Quick facts
- Is the Manager I, Engineering - Anomaly Detection role remote?
- It's hybrid — Datadog expects some on-site time in New York, New York, USA.
- What's the salary range?
- Datadog lists $192,000–$240,000 for this role.
- Where is the role based?
- Datadog is hiring for this position in New York, New York, USA.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: AI, Go, Java, Machine Learning, Python, distributed systems.
- What seniority level is this role?
- Datadog targets lead candidates for this position.
- Is this full-time or contract?
- Full-time for this Manager I, Engineering - Anomaly Detection role at Datadog.
From the original posting
The Anomaly Detection team’s mission is to build scalable, cost effective systems that can automatically detect anomalies in our customers’ system telemetry. The ultimate goal is to be able to intelligently find problems in system telemetry proactively without the need for our customers to set up or configure specific alarms or alerts. This is a chance to work on a team that sits at the intersection of distributed systems and machine learning and applying those techniques at massive scale to serve a real world customer need.
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.
What You’ll Do:
- Lead and develop an existing engineering team of 8; building trust, setting technical direction, and establishing a high bar for ownership and execution
- Own the roadmap and execution for our key signal finding systems
- Work closely with product management and applied scientists to build an effective detection system and the right evaluation mechanisms to ensure the quality of our signals
- Build and operate both traditional machine learning and LLM based systems in production at scale
- Drive the team's AI-native development practices, setting high standards for safety, validation, and increasing agent autonomy over time
Who You Are:
- Experienced engineering manager with a track record of shipping robust and scalable distributed systems with AI and/or ML components. Distributed systems experience is a must-have
- Experience with Java, Python or Go, and experience working in a platform-focused team
- Strong cross-team collaboration and stakeholder management skills
- Comfortable making significant contributions to product strategy in an ambiguous environment rather than executing a pre-defined roadmap
- Direct experience building and training ML models in production environments is a plus
- Familiarity utilizing streaming technology (e.g. Flink, Kafka) is a plus
Benefits and Growth:
- 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)
- Free, global mental health benefits for employees and dependents age 6+
- Competitive global benefits
Datadog offers a competitive salary and equity package, and may include variable compensation. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, Datadog offers a wide range of best in class, comprehensive and inclusive employee benefits for this role including healthcare, dental, parental planning, and mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan.
About Datadog:
Standard company text repeated across Datadog's postings is omitted here.