Manager I, Engineering - Applied AI - Natural Language & Conversational Interfaces

DataDog
New York
Workplace: HybridFull timeUSD 187,000 - 240,000 annuallyFunction: Data Science & Machine LearningEducation: mastersSkills: ["Leadership","Mentoring","Communication","Problem-solving","Collaboration"]

Leading a team of engineers and applied scientists to design and ship NLQ, Cmd-I, and AI-powered interfaces, balancing accuracy, latency, cost, and safety while driving cross-functional collaboration and continuous learning in a hybrid work environment.

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DataDog
DataDog
7 months ago

Manager I, Engineering - Applied AI - Natural Language & Conversational Interfaces

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Source: Company careers pageValidated by: Fursa AI
Last checked: 21 hours agoStatus: Live

Job Summary

Leading a team of engineers and applied scientists to design and ship NLQ, Cmd-I, and AI-powered interfaces, balancing accuracy, latency, cost, and safety while driving cross-functional collaboration and continuous learning in a hybrid work environment.
Location: New York
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Manager level

Key Responsibilities

  • •Lead and develop a team of engineers and applied scientists building NLQ translation systems, conversational agents, or AI-powered interfaces.
  • •Own the delivery of high-quality natural language capabilities, from semantic understanding and contextual retrieval to query generation and agentic reasoning.
  • •Build products that create data flywheels: design systems that capture user intent and feedback to continuously improve model quality and train differentiating capabilities.
  • •Drive evaluation and iteration practices for AI systems, including building offline and online evaluation pipelines to measure quality and detect drift.
  • •Partner with product managers and cross-functional teams to expand AI capabilities across the Datadog platform.

Pay and Benefits

Salary: USD 187,000 - 240,000 annually
Equity and Bonus:Equity
Perks:RsusEsppLearning BudgetHealth Insurance401k

Key Requirements

  • •Technical leader with experience in AI, machine learning, or NLP systems.
Experience:AINLPMLLLM
Education:Master's
Skills:LeadershipMentoringCommunicationProblem-solvingCollaboration
Languages:English
Tech Stack:LLMNLPRetrieval-augmented generationSemantic searchDeep learningConversational AIQuery translation

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
Glassdoor: 4.1
WebsiteLinkedIn