Manager I, Applied AI - Distilled Models

DataDog
Paris
Workplace: HybridFull timeFunction: Data Science & Machine LearningSkills: ["Coaching","Mentoring","Team leadership","Product thinking","Experimentation","Learning culture"]

Lead a team of engineers and applied scientists building cost-efficient specialized AI models and AI security capabilities. Define technical direction and short feedback loops, own end-to-end delivery from early research to production-grade reliability, and drive evaluation pipelines to measure quality and detect drift. Partner with product managers and research teams to shape bets and success criteria, balance quality/latency/cost/safety, and coach engineers while participating in hiring and growth.

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FursaFursa
DataDog
DataDog
2 months ago

Manager I, Applied AI - Distilled Models

✓ Verified Job

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Source: Company careers pageValidated by: Fursa AI
Last checked: 5 hours agoStatus: Live

Job Summary

Lead a team of engineers and applied scientists building cost-efficient specialized AI models and AI security capabilities. Define technical direction and short feedback loops, own end-to-end delivery from early research to production-grade reliability, and drive evaluation pipelines to measure quality and detect drift. Partner with product managers and research teams to shape bets and success criteria, balance quality/latency/cost/safety, and coach engineers while participating in hiring and growth.
Location: Paris
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 focused on cost-efficient specialized models and AI security capabilities.
  • •Partner with product managers, research teams, and cross-functional partners to shape bets and success criteria from framing through adoption.
  • •Own end-to-end delivery of AI systems, from research exploration to production-grade reliability and operational excellence.
  • •Balance quality, latency, cost, and safety; define the quality bar and build offline/online evaluation pipelines to detect drift.
  • •Coach engineers, foster experimentation and learning, and participate in hiring and team growth.

Key Requirements

  • •People-focused manager experience leading and mentoring engineers in a fast-moving domain.
  • •Deep technical expertise in one or more areas of AI/ML, such as large language models, RAG, semantic search, agentic systems, deep learning, or NLP.
  • •Experience with AI evaluation methodologies, including offline benchmarks and online metrics.
  • •Strong product instinct to anchor work in customer problems and define success criteria before building.
  • •BS/MS/PhD in Machine Learning, Computer Science, Engineering, or equivalent professional experience.
Experience:AIMachine learning
Education:
Skills:CoachingMentoringTeam leadershipProduct thinkingExperimentationLearning culture
Languages:English
Tech Stack:Large language modelsRetrieval-augmented generation (RAG)Semantic searchAgentic systemsDeep learningNLPOffline evaluationOnline metricsEvaluation 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
Glassdoor: 4.1
WebsiteLinkedIn