4 дня назад
Senior Manager, Data Engineering (AI)
192 100 - 307 800$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Manager, Data Engineering (AI): Leading the design, development, and operation of scalable data platforms, distributed systems, and machine learning pipelines with an accent on big data, cloud services, data quality, and GenAI-enabled engineering. Focus on providing hands-on technical leadership to engineering teams, building secure high-availability systems, and delivering customer-facing products with measurable business outcomes.
Location: Foster City, California, 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: $192,100–$307,800 USD per year, with potential bonus and equity eligibility.
Company
is a global payments technology company facilitating transactions among consumers, merchants, financial institutions, and governments.
What you will do
- Provide hands-on technical leadership and mentoring to a team of 8–10 engineers.
- Lead architecture, planning, development, deployment, and technical direction for assigned products.
- Design and implement secure, reliable, performant data platforms and distributed systems.
- Own customer engagement, manage expectations, drive adoption, and serve as the primary technical contact.
- Establish data processes, automations, big data systems, data-quality practices, and machine learning pipelines.
- Partner with product, QA, operations, risk, compliance, security, and geographically distributed engineering teams.
Requirements
- 8+ years of relevant experience with a Bachelor's degree, or equivalent experience with an advanced degree or PhD; 11+ years may substitute for the degree requirement.
- Experience managing engineering teams, mentoring engineers, and leading cross-functional teams in a matrixed organization.
- 5+ years of experience with big data technologies such as Hive, Hadoop, and Spark.
- 5+ years of experience with Java, Scala, or Python, plus experience with cloud platforms such as AWS, Azure, or GCP.
- Experience with graph databases, RESTful APIs, machine learning, GenAI/LLMs, and enterprise-scale distributed systems.
- Strong communication, presentation, architectural leadership, technical planning, and measurable-outcome delivery skills.
Nice to have
- Experience leading initiatives that use GenAI to improve engineering-team efficiency.
- Experience delivering large-scale projects with quantifiable business outcomes from inception through delivery.
Culture & Benefits
- Agile, high-quality engineering culture focused on innovation, knowledge sharing, and continuous improvement.
- Opportunities to evaluate and adopt emerging technologies, including Generative AI tools.
- Benefits may include medical, dental, vision, 401(k), FSA/HSA, life insurance, paid time off, and a wellness program.
- Work hours vary according to department needs.
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