обновлено 23 дня назад
Senior Staff GenAI Engineer - Application Performance Monitoring (APM)
272 000 - 340 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Staff GenAI Engineer - Application Performance Monitoring (APM) (GenAI/ML): Building and deploying GenAI/ML-powered agentic workflows for automated application investigations and incident triaging with an accent on end-to-end model development, evaluation, optimization, and product impact. Focus on designing scalable ML systems, benchmarking state-of-the-art models, guiding cross-team technical strategy, and solving ambiguous challenges in application performance monitoring.
Location: New York, New York, USA; hybrid workplace
Salary: $272,000–$340,000 USD yearly, plus equity and possible variable compensation.
Company
Datadog provides application performance monitoring and observability tools, including distributed tracing, profiling, dashboards, and correlated telemetry.
What you will do
- Own GenAI initiatives within APM, leading the design, development, and deployment of AI-powered features across multiple teams.
- Define the long-term technical strategy for agentic GenAI workflows across APM and related products.
- Build, benchmark, evaluate, and optimize GenAI/ML models using state-of-the-art techniques.
- Collaborate with cross-functional teams to build automated investigation and incident-triaging tools.
- Influence product direction and advocate for end-user needs in a product-driven environment.
- Mentor engineers and provide technical leadership through design reviews, technical talks, and working groups.
Requirements
- BS, MS, PhD in a scientific field, or equivalent experience.
- 10+ years of relevant engineering experience, including 4+ years leading cross-team technical initiatives.
- Proven experience leading large-scale GenAI/ML initiatives in a product-driven environment.
- Strong hands-on proficiency in model development, deployment, evaluation, optimization, and end-to-end ML systems.
- Ability to drive cross-functional initiatives, solve ambiguous challenges, and provide clear technical direction.
- Experience using AI coding tools and validating, critiquing, and refining AI-generated output.
Nice to have
- Motivation to advance AI-assisted software engineering practices and build AI-enabled products.
Culture & Benefits
- Hybrid office culture focused on collaboration and work-life harmony.
- Opportunity to build tools for software engineers and use them to accelerate development.
- Influence on product direction and business impact.
- Competitive benefits, including healthcare, dental, parental planning, mental health support, 401(k) with match, paid time off, fitness reimbursement, and an employee stock purchase plan.
- Continuous professional development and collaboration with knowledgeable teammates.
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