DataDog

4 months ago

Manager II, Engineering - Applied AI (NorAm)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 12 hours agoStatus: Live

Job Summary

Lead and grow multiple teams of engineers, applied scientists, and managers in the Applied AI space at Datadog. Set technical vision with Product, drive end-to-end AI product delivery from data pipelines to production, mentor leaders, and collaborate across teams to shape AI strategy and improve ML engineering practices. Oversee reliability and on-call operations while scaling the AI organization in North America.

Location: New York

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Manager level

Key Responsibilities

•Lead and grow multiple teams of engineers, applied scientists, and managers working on AI-powered features across the Datadog platform.
•Set technical vision and strategy for your area in partnership with Product.
•Ship AI products end-to-end, from data pipelines and model training through evaluation, deployment, and production operations.
•Coach and develop senior engineers and managers, building a culture of high performance, psychological safety, and clear feedback.
•Drive collaboration across Applied AI, product, and partner engineering teams to deliver on Datadog's AI priorities.

Pay and Benefits

Salary: USD 234,000 - 300,000 annually

Equity and Bonus:Equity

Perks:EquityEsppHealth InsuranceDental401kPaid LeaveGym MembershipLearning Budget

Key Requirements

•An experienced technical leader with a strong background in AI, machine learning, or data science.
•Proven track record building and shipping ML or AI-powered products in production.
•Experience leading and mentoring multiple teams, including senior engineers and engineering managers.
•Deep technical expertise in one or more areas: large language models, agentic systems, anomaly detection, time-series modeling, NLP, retrieval-augmented generation, or ML infrastructure.
•BS/MS/PhD in Machine Learning, Computer Science, Engineering, or related field, or equivalent professional experience.

Education:Master's

Skills:LeadershipMentoringCollaborationCommunicationProblem-solving

Languages:English

Tech Stack:PythonMachine LearningNLPLLMsML infrastructureData pipelines

Company Brief

DataDog

Provides a cloud-native monitoring and observability platform that unifies metrics, traces, logs, and security signals to help engineering, operations, and security teams monitor and troubleshoot modern applications and infrastructure.

Industry: Developer Tools

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: New York, United States

Founded: 2010

Glassdoor: 4.1

Website LinkedIn

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DataDog

4 months ago

Manager II, Engineering - Applied AI (NorAm)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 12 hours agoStatus: Live

Job Summary

Location: New York

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Manager level

Key Responsibilities

•Lead and grow multiple teams of engineers, applied scientists, and managers working on AI-powered features across the Datadog platform.
•Set technical vision and strategy for your area in partnership with Product.
•Ship AI products end-to-end, from data pipelines and model training through evaluation, deployment, and production operations.
•Coach and develop senior engineers and managers, building a culture of high performance, psychological safety, and clear feedback.
•Drive collaboration across Applied AI, product, and partner engineering teams to deliver on Datadog's AI priorities.

Pay and Benefits

Salary: USD 234,000 - 300,000 annually

Equity and Bonus:Equity

Perks:EquityEsppHealth InsuranceDental401kPaid LeaveGym MembershipLearning Budget

Key Requirements

•An experienced technical leader with a strong background in AI, machine learning, or data science.
•Proven track record building and shipping ML or AI-powered products in production.
•Experience leading and mentoring multiple teams, including senior engineers and engineering managers.
•Deep technical expertise in one or more areas: large language models, agentic systems, anomaly detection, time-series modeling, NLP, retrieval-augmented generation, or ML infrastructure.
•BS/MS/PhD in Machine Learning, Computer Science, Engineering, or related field, or equivalent professional experience.

Education:Master's

Skills:LeadershipMentoringCollaborationCommunicationProblem-solving

Languages:English

Tech Stack:PythonMachine LearningNLPLLMsML infrastructureData pipelines

Company Brief

DataDog

Industry: Developer Tools

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: New York, United States

Founded: 2010

Glassdoor: 4.1

Website LinkedIn