обновлено 17 дней назад
Senior Engineering Manager for Self-Serve (Learning)
222 000 - 300 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Engineering Manager for Self-Serve (Learning) (AI/SaaS): Leading the development of self-paced and enterprise-managed learning products with an accent on hands-on labs, AI-generated content, and interactive tutoring. Focus on building scalable provisioning, identity, sandboxing, and learning systems for millions of learners while growing an engineering organization from approximately 12 to 30+ engineers.
Location: Mountain View, California, United States
Salary: $222,000–$300,000 USD annually, with potential annual performance bonus, equity, and benefits.
Company
Databricks builds a data and AI infrastructure platform used by organizations worldwide to develop and scale data, analytics, and AI applications.
What you will do
- Define the technical and product strategy for the Learning initiative within the Self-Serve product-led growth motion.
- Lead the development of self-paced learning, hands-on labs, durable learner skill profiles, and enterprise-managed learning tools.
- Own roadmap execution and delivery for a 0→1 product scaling toward millions of learners.
- Establish engineering practices for design reviews, code quality, testing, performance, and high-scale interactive systems.
- Partner with R&D, Learning & Enablement, Marketing, and Field Engineering to align the product with learner adoption.
- Grow and lead an engineering team of approximately 12 people, planned to roughly double.
Requirements
- 15+ years of software engineering experience with a strong record of technical leadership and impact.
- 5+ years of engineering management experience, including 2+ years managing other managers or clear readiness to do so.
- Staff-engineer-caliber individual contributor background with full-stack experience, including backend development.
- Experience leading teams that include frontend and full-stack engineers and scaling organizations from 10 to 30+ engineers.
- Experience building scalable, distributed, customer-facing systems, ideally in a SaaS environment.
- Experience building and scaling consumer-facing products from 0→1, with strong cross-functional alignment across product, engineering, and go-to-market functions.
Nice to have
- Experience with product-led growth.
- Experience applying AI in a real product.
Culture & Benefits
- Comprehensive employee benefits and perks, with details varying by region.
- Annual performance bonus eligibility and equity may be included in the compensation package.
- Commitment to an inclusive workplace and equitable hiring practices.
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