Чётко очерченная руководящая роль в крупной компании в сфере данных и ИИ даёт заметные карьерные перспективы, хотя работа сосредоточена на технических предпродажах, а не на разработке продукта.
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Фокус на предпродажахСфера ИИ и данныхСильный брендПонятная зона ответственности
Оценка от Hirify AI
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Текст:
Hirify AI/Оригинал
TL;DR
Sr. Manager, Field Engineering - Financial Services (Hunter) (Data & AI): Leading and scaling a technical pre-sales team serving financial-services customers through enterprise software, big data, analytics, data engineering, data warehousing, and generative AI with an accent on team development, customer success, and Databricks platform expertise. Focus on guiding technical qualification, architecture discussions, product demonstrations, and scalable data infrastructure decisions.
Location: Remote candidates in Georgia, Illinois, New York, North Carolina, or Texas are encouraged, with a preference for the Northeast or Midwest at an office hub.
Salary: $192,100–$264,175 USD annually; additional performance bonus, equity, and benefits may apply.
Company
Databricks is a Data and AI company providing the Data + AI Platform for building and scaling data, analytics, and AI applications.
What you will do
Lead and scale a team of Solutions Architects serving the Financial Services segment within Regulated Industries Field Engineering.
Hire, onboard, coach, mentor, and grow a high-performing technical pre-sales team.
Partner with Sales and cross-functional teams to increase revenue and help customers succeed with the Databricks Data Intelligence Platform.
Maintain a strong hiring pipeline and develop team members into larger roles.
Ensure the team maintains advanced knowledge of the Databricks technology stack and continuously improves its ability to deliver comprehensive customer solutions.
Requirements
Proven experience building and leading technical pre-sales teams, including hiring, onboarding, coaching, and mentoring.
8+ years of experience in the data space with a technical product, such as data warehousing, big data, machine learning, or generative AI.
Experience acting as a trusted advisor to technical executives guiding strategic data infrastructure decisions.
Experience leading technical qualification, technical validations, architecture discussions, and product demonstrations.
Strong understanding of consumption-driven business models and long-term growth strategies.
Experience hiring, ramping, and promoting high-performing technical talent.
Experience working cross-functionally with Sales, Product Management, Engineering, Customer Success, and Field Engineering.
Technical credibility with Engineering talent and leadership, plus the ability to influence and review complex, scalable architectures.
Culture & Benefits
Inclusive culture focused on diversity, strong working relationships, and positive team morale.
Comprehensive benefits and perks tailored to the employee's region.
Remote work is available for candidates in the listed regions, with office-hub preference in the Northeast or Midwest.
Compensation may include annual performance bonus, equity, and regional benefits.
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