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Success Engineer (Data)
102 200 - 234 800$
Описание вакансии
Текст:
TL;DR
Success Engineer (Data): Driving customer outcomes around the Data Platform with an accent on data resilience, security posture optimization, and identifying expansion opportunities. Focus on leading readiness checks, data modeling, monitoring attack surfaces and vulnerabilities, and engaging CISO/CIO stakeholders.
Location: Remote (United States)
Salary: $102,200–$234,800 USD (Annual)
Company
is a leading Data and AI Trust Company, headquartered in Seattle, specializing in data resilience and security posture management for over 550,000 customers worldwide.
What you will do
- Run readiness checks and lead data modeling to validate solution design and accelerate decisions.
- Monitor attack surfaces and vulnerabilities, track telemetry or recurring inspection signals, report trends, and capture potential health checks.
- Identify and articulate expansion opportunities, review consumption trends, and schedule checkpoint reviews.
- Engage CISO/CIO stakeholders for risk, status, and opportunity discussions; synthesize inputs from account health and QBRs.
- Support Account Executives on in-depth VDP technical topics and expansion motions; influence roadmap priorities with Customer Success Engineer counterparts.
- Guide customers with technical best practices, product how-to, product updates, and educating customers to maximize their product value.
Requirements
- Deep understanding of products and/or similar technologies/backup methodologies.
- Deep understanding of virtualization technologies such as VMware and Hyper-V.
- Demonstrated ability to engage CISO/CIO stakeholders on risk, resilience, and modernization roadmaps.
- Hands-on experience with solution design, POCs, telemetry monitoring, and maturity modeling.
- Excellent verbal and written communication skills, including the ability to articulate technical concepts and present to groups in person or remotely.
- Bachelor’s degree in Computer Science, Electrical Engineering, or a related technical field.
Nice to have
- Industry-based experience in storage, network, and/or cloud-based technologies.
- Experience working with monitoring tools and frameworks.
- Experience in data life-cycle management.
- VMCE certification or other industry-relevant professional certifications.
- Advanced degree.
Culture & Benefits
- Unlimited paid time off, 12 paid holidays, plus 4 extra global e Days for self-care and 24 paid volunteer hours annually.
- Paid parental leave: 8 weeks for all parents, 16 weeks for birthing parents.
- Medical, dental, and vision coverage starting on your first day.
- Mental health support, therapy sessions, and digital wellness tools via our Employee Assistance Program.
- 401(k) retirement plan with company matching contributions.
- Fertility, adoption, and surrogacy support through Maven, plus paid volunteer time.
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