Manager II, Engineering - Bits AI Security Analyst

Datadog • New York City, NY

4d • Hybrid

About The Position

At Datadog, we’re on a mission to bring security and observability together for modern organizations. Bits AI for Security is our AI-powered assistant that leverages large language models (LLMs) to help analysts investigate alerts, understand threats, and respond faster. We’re looking for an Engineering Manager I to lead the team building the next generation of AI-driven security capabilities. This is a unique opportunity to combine security expertise with GenAI/LLM innovation, helping shape how AI empowers security analysts worldwide. 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 grow a talented engineering team working at the intersection of security, AI, and product innovation. Partner closely with product managers, security experts, and AI researchers to design and deliver AI Agents (LLM-powered) that drive real value for our customers. Guide the team in building production-ready systems that combine Datadog’s security platform with GenAI models, agents, and retrieval-augmented generation (RAG) pipelines. Coach and develop senior engineers and managers, fostering a culture of high performance, inclusion, and psychological safety Own the delivery of critical product initiatives, ensuring technical excellence, reliability, and alignment with Datadog’s high bar for security. Participate in hiring and organizational planning for future growth Promote best practices in machine learning, AI engineering, operational standards, and career development across the organization Who You Are: An experienced technical leader with a strong background in AI, machine learning, or data science Experience leading and mentoring multiple teams, including senior engineers and engineering managers Knowledgeable about LLM technologies (prompt engineering, fine-tuning, RAG, agents) and how to apply them in real-world, production-grade systems. Comfortable with backend or full-stack development in a cloud-based SaaS environment. Strong in communication and collaboration, able to align engineers, product managers, and researchers around shared goals. A strong people manager, able to attract, develop, and retain top AI and engineering talent Bonus Points: Excited to work in the security domain, with an understanding of how analysts investigate threats and alerts (security background is a strong plus). Hands-on experience with LLM frameworks (LangChain, LlamaIndex, OpenAI API, Hugging Face, etc.). Contributions to AI/ML infrastructure or applied GenAI products. Experience scaling products in a high-growth SaaS environment. Why You Should Apply: You’ll be at the forefront of AI applied to security, shaping how analysts use GenAI to work smarter and faster. You’ll lead a highly motivated team at Datadog, collaborating across product, AI research, and security domains. You’ll have the chance to work on cutting-edge GenAI/LLM challenges with real-world impact. Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Requirements

• An experienced technical leader with a strong background in AI, machine learning, or data science
• Experience leading and mentoring multiple teams, including senior engineers and engineering managers
• Knowledgeable about LLM technologies (prompt engineering, fine-tuning, RAG, agents) and how to apply them in real-world, production-grade systems.
• Comfortable with backend or full-stack development in a cloud-based SaaS environment.
• Strong in communication and collaboration, able to align engineers, product managers, and researchers around shared goals.
• A strong people manager, able to attract, develop, and retain top AI and engineering talent

Nice To Haves

• Excited to work in the security domain, with an understanding of how analysts investigate threats and alerts (security background is a strong plus).
• Hands-on experience with LLM frameworks (LangChain, LlamaIndex, OpenAI API, Hugging Face, etc.).
• Contributions to AI/ML infrastructure or applied GenAI products.
• Experience scaling products in a high-growth SaaS environment.

Responsibilities

• Lead and grow a talented engineering team working at the intersection of security, AI, and product innovation.
• Partner closely with product managers, security experts, and AI researchers to design and deliver AI Agents (LLM-powered) that drive real value for our customers.
• Guide the team in building production-ready systems that combine Datadog’s security platform with GenAI models, agents, and retrieval-augmented generation (RAG) pipelines.
• Coach and develop senior engineers and managers, fostering a culture of high performance, inclusion, and psychological safety
• Own the delivery of critical product initiatives, ensuring technical excellence, reliability, and alignment with Datadog’s high bar for security.
• Participate in hiring and organizational planning for future growth
• Promote best practices in machine learning, AI engineering, operational standards, and career development across the organization

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

What This Job Offers

• Job Type: Full-time
• Career Level: Manager
• Education Level: No Education Listed
• Number of Employees: 1,001-5,000 employees