Работа на острие AI в топовой продуктовой компании уровня Datadog - это огромный плюс, хотя зарплата ниже медианы рынка для этой позиции.
Кликните для подробной информации
Зарплата ниже рынкаПередовой стекТрендовый доменПонятные задачиТоповый продукт
Оценка от Hirify AI
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Подключить Plus
Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Manager I, Engineering - Applied AI - Natural Language & Conversational Interfaces (AI): Leading engineers and applied scientists building production AI systems for large language models, retrieval-augmented generation, semantic search, and agentic systems with an accent on evaluation, reliability, latency, cost, and safety. Focus on defining technical direction, building offline and online evaluation pipelines, and taking AI capabilities from research exploration through customer adoption.
Location: New York, New York, USA; hybrid workplace
Salary: $192,000–$240,000 USD per year, plus equity and possible variable compensation.
Company
Datadog's Applied AI organization turns research capabilities into production AI systems and customer-facing products.
What you will do
Lead and develop a team of engineers and applied scientists building foundations for agents operating at scale.
Define technical direction and shape AI initiatives from initial framing through broader customer adoption.
Own delivery of AI systems from research exploration to production-grade reliability and operational excellence.
Balance quality, latency, cost, and safety when shipping AI-powered products.
Define evaluation standards and guide the development of offline and online pipelines to measure quality and detect drift.
Coach engineers, support career growth, participate in hiring, and promote experimentation and knowledge sharing.
Requirements
Experience managing and mentoring engineers in a fast-moving technical domain.
Deep expertise in one or more areas 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.
Ability to connect early-stage technical work with customer problems and define measurable success criteria.
Experience taking AI products from 0 to 1 is strongly valued.
BS, MS, or PhD in Machine Learning, Computer Science, Engineering, or a related field, or equivalent professional experience.
Culture & Benefits
Hybrid workplace emphasizing office collaboration, relationships, creativity, and work-life harmony.
New-hire stock equity through RSUs and an employee stock purchase plan.
Professional development, product training, and career pathing.
Inclusive culture with employee Community Guilds.
Healthcare, dental, parental planning, mental health benefits, 401(k) with match, paid time off, fitness reimbursements, and global benefits that may vary by country and employment arrangement.
Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →