Влиятельная роль в трендовом домене AI-безопасности с современным стеком. Единственные минусы - серьезные требования к командировкам и небольшая путаница в требованиях к опыту.
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Частые разъездыЗарплата не указанаТрендовый доменСовременный стекРеальное влияние
Оценка от Hirify AI
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Текст:
Hirify AI/Оригинал
TL;DR
Senior Customer Success Engineer (Data Security): Driving adoption, technical success, and return on investment for enterprise customers using Cyera’s data security platform with an accent on onboarding, customized use cases, troubleshooting, and strategic customer relationships. Focus on designing success plans, resolving complex cloud and data technology challenges, conducting executive reviews and technical workshops, and influencing product development through customer feedback.
Location: Remote in Canada; the role is associated with Toronto and requires 25–50% annual travel to customer locations.
Company
Cyera develops data security and AI trust infrastructure that helps enterprises securely adopt AI and protect sensitive data.
What you will do
Act as the primary technical expert and trusted advisor for customers using the Cyera Platform.
Lead onboarding, training, adoption, joint success planning, and Quarterly Business Reviews.
Design customized use cases that align the platform with customer requirements and business outcomes.
Troubleshoot technical issues, remove adoption blockers, and monitor customer health and usage indicators.
Advocate for customer feedback, contribute to product roadmap decisions, and document best practices.
Mentor team members and participate in interviewing and onboarding new employees.
Requirements
Associate degree or equivalent experience; a bachelor’s degree in Computer Science or a related field is a plus.
12 years of experience with strong project management, organization, and execution skills.
At least 3 years of hands-on experience with data and cloud technologies, including databases, cloud infrastructure, networking, compute assets, IAM, and permissions.
Proficiency in SQL, scripting languages such as Python, cloud environments, APIs, and web services.
Experience with DLP, data privacy and protection, DSPM/CSPM, SIEM, or vulnerability management.
Experience in a technical customer-facing role at a software company, including customer onboarding, renewals, expansion, executive meetings, and technical workshops.
Culture & Benefits
Remote work with office setup reimbursement.
Paid holidays and sick time.
Health, vision, and dental insurance.
Work in a fast-paced startup environment focused on data security and safe AI adoption.
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