обновлено 17 дней назад
Sr. Manager, Field Engineering (AI)
192 100 - 264 175$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Sr. Manager, Field Engineering (AI): Leading a team of Solutions Architects focused on enterprise software, big data/analytics, and generative AI with an accent on increasing revenue and customer success. Focus on scaling the Field Engineering team, maintaining advanced knowledge of the technology stack, and providing comprehensive solutions for customer needs.
Location: Maryland; Virginia; Washington, D.C.
Salary: $192,100 — $264,175 USD
Company
Databricks is the data and AI company, helping organizations unify and democratize data, analytics, and AI.
What you will do
- Set the vision and strategy for the team to accelerate transformative outcomes for customers.
- Hire, train, lead, and grow the Solutions Architect team.
- Help customers achieve exceptional success with Databricks and deliver substantial value to their businesses.
- Maintain a robust hiring pipeline.
- Establish relationships across the business to make customers and the team successful.
- Ensure the team stays ahead of the technical curve and provides comprehensive solutions.
Requirements
- Proven experience building and leading technical pre(or post)-sales teams.
- 5+ years of experience in the data space with a technical product (data warehousing, big data, machine learning, or generative AI).
- Alternatively, 5+ years of experience impacting the IC or DoW from a technology perspective.
- Trusted advisor to technical executives that guide strategic data infrastructure decisions.
- Lead a team through best practices for technical qualification, architecture discussions, and product demonstrations.
- Strategic mindset focused on driving customer outcomes.
Culture & Benefits
- Comprehensive benefits and perks to meet the needs of all employees.
- Committed to fostering a diverse and inclusive culture where everyone can excel.
- Hiring practices are inclusive and meet equal employment opportunity standards.
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