4 дня назад
Senior Solutions Engineer (Financial Services)
171 000 - 215 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Solutions Engineer (Financial Services) (Big Data/Cloud): Owning the technical sales process and designing Cloudera solutions for enterprise financial-services customers with an accent on customer discovery, technical demonstrations, and data-platform architectures. Focus on translating business requirements into solutions, presenting product vision, and supporting customer success, upselling, and renewals.
Location: Remote within the United States, with New York listed as the primary location
Salary: $171,000–$215,000 annual base salary, plus commission eligibility
Company
provides data management and analytics technologies that help large enterprises transform complex data into actionable insights.
What you will do
- Own the technical sales process from introductory meetings through post-sales customer satisfaction, upselling, and subscription renewals.
- Discover customer use cases and gather business requirements for solutions.
- Design solutions using technologies, reference architectures, and common patterns.
- Create and deliver technical presentations and product demonstrations for business leaders and technical stakeholders.
- Partner with Account Managers, Product Management, Engineering, and other teams to support sales and customer outcomes.
- Present product roadmaps and represent through conferences, meetups, webinars, blogs, and other external activities.
Requirements
- Bachelor’s degree in a related field or equivalent work experience.
- At least 8 years of professional experience in a customer-facing pre-sales role such as Solutions Engineer, Sales Engineer, technical consultant, or Solutions Architect.
- Experience co-selling enterprise solutions to business leaders and technical champions.
- Experience with big data, data warehousing, relational databases, and at least one major cloud provider: AWS, Azure, or GCP.
- Knowledge of data engineering, data science or machine learning, enterprise operations, security, data governance, and Unix or Linux.
- Excellent written and verbal communication, presentation, problem-solving, and customer-engagement skills.
Culture & Benefits
- Flexible work-from-home policy and support for work-life balance.
- Generous paid time off and designated unplugged days.
- Mental and physical wellness programs.
- Phone and internet reimbursement.
- Career development opportunities, comprehensive benefits, and competitive packages.
- Paid volunteer time and employee resource groups.
Hiring process
- Compensation is determined by skills, experience, qualifications, and primary work location.
- This role is not eligible for immigration sponsorship.
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