обновлено 17 дней назад
Senior Engineering Manager (AI)
222 000 - 312 600$
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Senior Engineering Manager (AI): Leading a team to build and scale AI-driven customer and Support experiences with an accent on intelligent systems that improve deflection, resolution speed, and customer satisfaction. Focus on integrating AI, automation, and human expertise to power the Databricks customer journey and turning customer signals into business outcomes.
Location: Onsite in Mountain View, California or San Francisco, California.
Salary: $222,000–$312,600 USD
Company
Databricks is a data and AI company providing the leading data and AI infrastructure platform to over 10,000 organizations worldwide.
What you will do
- Own the entire portfolio across customer self-service, support workflows, and product-health intelligence.
- Deliver a sequenced, outcome-driven roadmap with explicit tradeoffs for metrics like deflection, contact rate, and MTTM.
- Drive rollout strategy through staged releases, enablement, and change management.
- Collaborate with Tech Leads to ensure explainability, observability, and safe fallback mechanisms before scaling dependencies.
- Serve as the primary integrator across Support, Product, Enterprise Engineering, Platform, and SME teams.
- Drive governance to eliminate duplication, resolve conflicting sources of truth, and maintain a unified execution thread tied to measurable outcomes.
Requirements
- BS or higher degree in Computer Science or a related field.
- 10+ years of experience building and operating customer-facing workflows and support automation tools.
- 5+ years of experience leading Engineering teams that build products used daily by Support engineers, SREs, or developers.
- Demonstrated experience delivering AI- or automation-enabled systems.
- Experienced influencing across multiple engineering and product organizations.
- Excellent written and verbal communication skills.
Culture & Benefits
- Comprehensive benefits and perks are provided.
- Commitment to fostering a diverse and inclusive culture where everyone can excel.
- Hiring practices are inclusive and meet equal employment opportunity standards, considering individuals without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
- Access to export-controlled technology or source code may require a U.S. government license, and the Employer may decline applicants on this basis.
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