3 дня назад
Engineering Manager, AI Platforms
232 000 - 280 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Engineering Manager, AI Platforms (AI/ML infrastructure): Leading an engineering team building foundational AI and ML platform capabilities for conversational financial products with an accent on ML pipelines, compute infrastructure, model evaluation, and scalable architecture. Focus on managing AI platform engineers, translating technical requirements into reusable infrastructure, and designing reliable systems that support AI development and deployment at scale.
Location: Miami or New York, United States; hybrid with office attendance 2–3 times per week
Base salary: $232,000–$280,000 per year
Company
is a hyper-growth Series C fintech company building an AI-powered conversational financial companion for Latinos in the United States, including remittances, credit, savings, and wallet services.
What you will do
- Manage squad performance, set goals, track progress, and mentor engineering team members.
- Lead a team focused on foundational AI and ML capabilities for the broader AI organization.
- Translate AI and ML requirements into scalable technical architectures and reusable platform solutions.
- Define and execute the roadmap for AI platform and infrastructure capabilities with Product and Engineering leadership.
- Drive development across ML pipelines, compute, model evaluation, AI infrastructure, and platform scalability.
- Improve engineering productivity through AI-assisted development practices and establish strong technical documentation.
Requirements
- 10+ years of experience in software engineering, machine learning, AI infrastructure, or related technical domains.
- 3+ years leading direct reports and a proven record of developing engineering teams.
- Experience building or leading ML pipelines, AI/ML platforms, foundational AI systems, or related infrastructure.
- Experience with compute infrastructure, model evaluation, scalable AI platforms, or machine learning systems.
- Strong skills in system design, architecture, technical problem-solving, and cross-functional delivery.
- Previous experience managing teams of AI engineers, ML engineers, or data scientists.
Nice to have
- Familiarity with Google ADK, Langfuse, OpenAI APIs, Gemini APIs, Python, Flask or FastAPI, REST APIs, Redis, SQL, Google Cloud, Kubernetes, Terraform, or New Relic.
Culture & Benefits
- Hybrid work model with flexible base salary depending on location and interview performance.
- Initial stock options grant and annual performance bonus.
- Health, dental, and vision plans with a 401(k) employer match.
- Unlimited PTO and paid parental leave.
- Continuous learning and growth opportunities in an entrepreneurial environment.
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