Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Sr. Manager, Field Engineering (Telco) (Data & AI): Leading Solutions Architecture teams that design and deliver enterprise data, analytics, and AI solutions for major telecommunications customers with an accent on network analytics, optimization, and scalable technical pre-sales. Focus on building high-performing SA leadership teams, influencing complex architectures, and translating Databricks platform capabilities into measurable customer and revenue outcomes.
Location: United States, with preferred locations in Atlanta, Chicago, Dallas, New York City, and San Francisco; candidates in other locations may also be considered.
Salary: $192,100–$264,175 USD annually, depending on pay zone, plus potential bonus, equity, and benefits.
Company
Databricks develops a unified Data and AI Platform for enterprise data engineering, analytics, machine learning, and AI applications.
What you will do
- Lead two frontline managers and a Principal Solutions Architect across telecommunications business units.
- Hire, develop, coach, and scale Solutions Architecture teams and maintain a strong leadership and hiring pipeline.
- Partner with Sales and Field Engineering leaders to achieve revenue and consumption targets and drive customer success.
- Guide technical pre-sales activities, demonstrations, architectural reviews, and delivery of data-driven solutions for major telecom accounts.
- Develop repeatable industry assets and expand Databricks' telecommunications vertical across business units and global teams.
- Build strong relationships across Sales, Product Management, Engineering, Customer Success, and executive customer stakeholders.
Requirements
- 10+ years of professional experience working with technical data products such as data warehousing, big data, or machine learning.
- 5+ years architecting and delivering data-driven solutions for major telecommunications accounts.
- 5+ years building and leading technical pre-sales teams, including hiring, onboarding, enablement, and leadership development.
- Deep knowledge of the telecommunications ecosystem, network analytics and optimization, churn prevention, and industry imperatives.
- Strong understanding of Data and AI applications in telecommunications and demonstrated influence over complex, scalable architectures.
- Ability to earn the trust of engineering leaders and collaborate effectively across commercial and technical functions.
Nice to have
- Experience creating network effects across the telecommunications ecosystem.
- Experience scaling repeatable industry assets across multiple business units and global teams.
- Experience advising technical executives on strategic data infrastructure decisions.
Culture & Benefits
- High-growth environment focused on advancing enterprise data and AI adoption.
- Comprehensive regional benefits and employee perks.
- Potential annual performance bonus and equity eligibility.
- Inclusive workplace committed to equal employment opportunity and diverse teams.
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