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Сильная лидерская рольПродуктовая компанияГибридный формат работыЗарплата не указана
Оценка от Hirify AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Manager I, Applied AI - Distilled Models (AI): Leading engineers and applied scientists in building cost-efficient specialized AI models and production systems with an accent on model quality, latency, cost, safety, and operational reliability. Focus on defining technical direction, building offline and online evaluation pipelines, and shipping AI capabilities from research exploration through customer adoption.
Location: Paris, France; hybrid workplace
Company
Datadog builds monitoring and security solutions and develops AI capabilities that reach production customers.
What you will do
Lead and develop a team of engineers and applied scientists focused on cost-efficient specialized models and AI security.
Define technical direction and shape product bets with product managers, research teams, and cross-functional partners.
Own delivery of AI systems from early research exploration through production-grade reliability and broader adoption.
Balance quality, latency, cost, and safety when shipping AI-powered products.
Define quality standards and guide the development of offline and online evaluation pipelines to measure quality and detect model drift.
Coach engineers, support career growth, contribute to hiring, and promote experimentation and knowledge sharing.
Requirements
Experience leading and mentoring engineers in a fast-moving technical domain.
Deep expertise in one or more areas of AI or machine learning, including large language models, retrieval-augmented generation, semantic search, agentic systems, deep learning, or NLP.
Experience with offline benchmarks and online metrics for evaluating AI systems.
Strong product judgment and the ability to define customer problems and success criteria for early-stage work.
BS, MS, or PhD in Machine Learning, Computer Science, Engineering, or a related field, or equivalent professional experience.
Nice to have
Experience taking AI products from 0 to 1 and making deliberate decisions about scoping, iteration, pivoting, or stopping.
Culture & Benefits
Office culture emphasizes collaboration, relationships, creativity, and work-life harmony.
Cross-team collaboration and knowledge sharing are part of the broader AI organization.
The role combines applied research with product delivery and customer impact.
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