6 дней назад
Sr. Manager, Software Engineering (AI)
163 300 - 261 600$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Sr. Manager, Software Engineering (AI): Leading teams that design, develop, and operate large-scale distributed payment and commerce systems with an accent on AI-native development, cloud architecture, security, and reliability. Focus on architecting resilient platforms, implementing Generative AI, LLM, RAG, and agentic capabilities, and scaling engineering organizations and technical strategy.
Location: Austin, Texas, United States; at least 3 days per week in the office. The role requires 5–10% travel and is performed in an office setting.
Salary: $163,300–$261,600 USD per year, with potential bonus and equity eligibility.
Company
operates a global payments technology platform connecting consumers, merchants, financial institutions, and government entities across more than 200 countries and territories.
What you will do
- Lead and grow engineering teams building scalable, resilient, secure distributed systems and payment platforms.
- Set technical strategy across cloud-native architectures, APIs, microservices, event-driven systems, AI platforms, and mission-critical applications.
- Champion AI-first engineering practices using Generative AI, LLMs, AI agents, Claude Code, Codex, GitHub Copilot, and AI-powered SDLC automation.
- Oversee architecture, platform modernization, MLOps, AI infrastructure, resiliency, security, compliance, observability, and governance initiatives.
- Partner with product, business, security, infrastructure, and executive stakeholders to define roadmaps and deliver transformational initiatives.
- Establish engineering standards, KPIs, delivery frameworks, and talent development practices across multiple teams.
Requirements
- 8+ years of relevant experience with a bachelor's degree, or 11+ years of relevant experience without the degree.
- 10+ years of software engineering experience, including 3+ years leading engineering teams.
- Experience building large-scale transaction processing, e-commerce, fintech, payments, or highly regulated platforms.
- Deep knowledge of Generative AI, LLM operations, prompt engineering, RAG, vector databases, AI agents, and AI orchestration.
- Experience with distributed systems, cloud platforms, APIs, microservices, testing, architecture reviews, and technical documentation.
- Experience with AI-assisted development platforms such as Claude Code, Codex, GitHub Copilot, and Cursor.
Nice to have
- Advanced degree in Computer Science, Engineering, Artificial Intelligence, or a related field.
- Experience delivering large transformational initiatives with measurable business impact.
Culture & Benefits
- Focus on technical excellence, operational excellence, innovation, customer impact, and continuous learning.
- Medical, dental, vision, 401(k), FSA/HSA, life insurance, paid time off, and wellness program eligibility.
- Opportunity to mentor engineers, architects, and engineering managers and develop future technical leaders.
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