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RVP, Insurance, Wealth & Asset Management

Оценка ИИ

Databricks — один из самых востребованных работодателей в сфере ИИ и данных с отличной репутацией. Позиция RVP предлагает высокий уровень ответственности, работу с передовыми технологиями и потенциально очень высокое вознаграждение, хотя и требует исключительной квалификации.


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Сложность вакансии

ЛегкоСложно
Оценка ИИ

Высокий уровень сложности обусловлен требованием более 10 лет опыта в продажах корпоративного ПО и необходимостью наличия опыта на уровне директора. Роль подразумевает управление командой в сложной технической среде (Big Data, AI) и работу с C-level клиентами в финансовом секторе.

Анализ зарплаты

Медиана320 000 $
Рынок250 000 $ – 400 000 $
Оценка ИИ

Указанный диапазон соответствует рыночным стандартам для позиций уровня Regional Vice President в крупных американских технологических компаниях (Tier-1). Итоговый доход (OTE) обычно включает значительную переменную часть (комиссионные) и опционы.

Сопроводительное письмо

I am writing to express my strong interest in the RVP, Insurance, Wealth & Asset Management position at Databricks. With over a decade of experience in enterprise software sales and a proven track record of leading high-performing teams within the financial services sector, I am confident in my ability to drive significant revenue growth and expand Databricks' footprint in the Northeast region.

Throughout my career, I have successfully navigated complex technical sales environments, consistently exceeding quotas by aligning innovative solutions with the strategic goals of C-level executives. My leadership philosophy centers on coaching and empowering sales professionals to reach their full potential, which aligns perfectly with Databricks' mission to unify and democratize data and AI. I am particularly excited about the opportunity to leverage my deep understanding of the insurance and asset management verticals to evangelize the value of the Data Intelligence Platform.

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Составьте идеальное письмо к вакансии с ИИ-агентом

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Откликнитесь в databricks уже сейчас

Присоединяйтесь к лидеру в области данных и ИИ, чтобы возглавить стратегические продажи в финансовом секторе!

Описание вакансии

SLSQ227R414

Databricks is seeking an RVP, Insurance, Wealth & Asset Management within our Financial Services Team to join our world-class sales organization. Reporting to our VP, Financial Services, you will be responsible for hiring and leading a team of Strategic sales reps, implementing sales plans, and helping to both develop new business and expand existing business. The ideal candidate has a track record of exceeding revenue goals, of leading sales professionals to be their best selves, and is comfortable in a complex, technical sales environment.

The impact you will have:

  • Drive revenue success: Own and exceed quarterly/annual sales targets.
  • Build and implement strategic plans: Develop and execute evolving revenue plans and growth tactics.
  • Build and manage the team: Hire, manage, and motivate a growing team of sales executives; coach each member via joint selling and regular pipeline reviews.
  • Build trust-based relationships: Develop long-term relationships with employees, partners, and cross-functional teams.
  • Distill customer needs and value: Enable your team to understand customer goals and how they relate to the Databricks value proposition.
  • Manage the front-line voice of Databricks: Lead your team to effectively communicate the value proposition through proposals and presentations.

What we look for:

  • 10+ years of successful, progressive experience in enterprise software sales, including Director-level experience at a reputable organization, ideally within Financial Services.
  • In-depth knowledge of how software is positioned and sold to IT and/or Data executives, ideally within the insurance, wealth & asset management verticals.
  • Strong track record of exceeding company sales quotas in a complex sales environment.
  • A background in hiring, leading, and retaining high-performing account executives.
  • Proven experience with teaching, coaching, and training sales methodologies.
  • Excellent C-level communication skills
  • Proven leadership ability to influence, develop, and empower employees to achieve objectives.
  • Contract negotiation and deal forecasting experience.
  • Strong written, verbal, presentation, and organizational skills required, with the ability to articulate and evangelize the value of Databricks solutions.
  • Passionate about Big Data, AI, Spark, and cloud technologies.
  • Willingness to travel as needed within the Northeast/New England region.
  • Bachelor’s Degree required.

About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks.

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered 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.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on TwitterLinkedIn and Facebook.

BenefitsAt Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered 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.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

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Создайте идеальное резюме с помощью ИИ-агента

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Навыки

  • Strategic Planning
  • Artificial Intelligence
  • Sales
  • Contract Negotiation
  • Financial Services
  • Apache Spark
  • Big Data
  • Sales Management
  • Cloud Computing
  • Enterprise Software Sales

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