Join Datadog as a Staff GenAI Engineer to lead machine learning projects within the Application Performance Monitoring team.
Posted by employer 4 months ago
First seen on Joblaze 4 months ago
Last verified on the company career page 21 hours ago
Skills & Technologies
AI in the day-to-day
null
Requirements
- Experience
- 10+ years
- Education
- Master's degree
Not disclosed in this posting: visa sponsorship.
Benefits
Joblaze summary
In this role, the Staff GenAI Engineer will lead the development and deployment of machine learning models within Datadog's Application Performance Monitoring team, focusing on enhancing automated investigation tools. The position requires extensive experience in GenAI and ML, along with strong technical leadership and communication skills to navigate complex projects. Ideal candidates will have over a decade of engineering experience and a proven ability to drive product-focused initiatives. Datadog fosters a collaborative culture, emphasizing mentorship and continuous professional growth.
Joblaze insights
- Listed about 4 months ago — first seen on Joblaze June 2, 2026. Last confirmed on Datadog's careers page October 10, 2026.
- Salary band is above the typical range for AI/ML roles (median ~$190,000).
- Starts above 57% of 37 comparable staff ai/ml roles in United States that list Machine Learning we track (median $230,000 across 15 companies). See Machine Learning salary trends
- Machine Learning appears in 17.9% of 280 comparable staff ai/ml roles in United States; GenAI appears in 3.6% of 280 comparable staff ai/ml roles in United States.
Quick facts
- Is the Staff GenAI Engineer - Application Performance Monitoring (APM) role remote?
- It's hybrid — Datadog expects some on-site time in New York, New York, USA.
- What's the salary range?
- Datadog lists $234,000–$234,000 for this role.
- How much experience is required?
- At least 10 years of relevant experience for this Staff GenAI Engineer - Application Performance Monitoring (APM) 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: APM, GenAI, ML, Machine Learning.
- What seniority level is this role?
- Datadog targets staff-level candidates for this position.
- Is this full-time or contract?
- Full-time for this Staff GenAI Engineer - Application Performance Monitoring (APM) role at Datadog.
From the original posting
We’re looking for a Staff Software Engineer with deep experience in GenAI/ML to join Datadog’s Application Performance Monitoring (APM) team. APM is a product which provides deep visibility into applications, enabling users to identify performance bottlenecks, troubleshoot issues, and optimize services. With distributed tracing, profiling, out-of-the-box dashboards, and seamless correlation with other telemetry data, Datadog APM provides some of the deepest and most structured visibility into the health and performance of applications. This context sets us up for an opportunity to be the world leaders in agentic investigations and incident troubleshooting.
You’ll act as a technical leader within the APM group, focused on agentic workflows. You’ll lead efforts to design, train, evaluate, and deploy GenAI/ML models at scale. We’re looking for a product-minded ML engineer with strong technical expertise, excellent communication skills, and a track record of driving impactful initiatives end to end.
What You’ll Do:
- Act as a technical leader within the APM organization, driving GenAI/machine learning projects from concept to production.
- Build and benchmark GenAI/ML models using state-of-the-art techniques.
- Collaborate with cross-functional teams to build automated investigation and triaging tools.
- Influence product direction by bringing a strong product mindset to your work, always advocating for the end user.
- Guide teams through ambiguity, scaling challenges, and evolving requirements with clear technical direction.
- Actively mentor engineers and influence engineering culture through leadership in design reviews, technical talks, and working groups.
Who You Are:
- You have a BS/MS/PhD in a scientific field or equivalent experience
- 10+ years of relevant engineering experience, as well as experience acting as a technical lead
- Proven track record of leading large-scale GenAI/ML initiatives in a product-driven environment
- You have significant experience in model deployment, development, training, fine-tuning, or evaluation
- Ability to drive initiatives across cross-functional teams, and solve ambiguous challenges
Benefits and Growth:
- Get to build tools for software engineers, just like yourself. And use the tools we build to accelerate our development.
- Have a lot of influence on product direction and impact on the business.
- Work with skilled, knowledgeable, and kind teammates who are happy to teach and learn
- Competitive global benefits
- Continuous professional development
#LI-Hybrid
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.