Serve as the primary technical contact for enterprise customers, managing relationships, account reviews, deployments, integrations, adoption, training, and ongoing support. Guide customers across multi-cloud environments, identify security and efficiency improvements, resolve technical challenges, collaborate with support teams, and advocate for customer feedback in product development.
Description
Sentra is the AI Data Readiness platform for enterprises deploying AI at scale. Sentra continuously discovers, classifies, and governs sensitive data across cloud, SaaS, data warehouses, and AI environments - giving security teams complete visibility into what AI systems can access, what they can expose, and where compliance violations exist. Unlike alternatives that copy data to vendor clouds or require customer-managed outpost infrastructure, Sentra provisions ephemeral scanners directly inside the customer's environment, delivering petabyte-scale classification at a fraction of the cost. Trusted by Lyft, SoFi, Munich RE, PennyMac, Glovo and others.
Responsibilities- Serve as the main technical contact for enterprise clients, establishing trusted, long-lasting relationships.
- Conduct regular account reviews and recommend optimizations to enhance Sentra’s solutions.
- Provide guidance on Sentra’s products, facilitating smooth integration across multi-cloud environments.
- Identify and address risks, inefficiencies, and areas for improvement in customer environments.
- Collaborate with Technical Support to ensure customer satisfaction.
- Oversee deployment phases, ensuring seamless transitions from proof-of-concept to full implementation.
- Provide ongoing support to ensure successful adoption of Sentra’s platform.
- Deliver training to help customers maximize Sentra’s capabilities.
- Act as a customer advocate, collecting feedback to inform product development.
- 5+ years in a technical, customer-facing role, such as Technical Account Management or Solutions Engineering.
- Proficiency with cloud platforms (AWS, Azure, GCP) and a strong understanding of data security and classification challenges.
- Solid knowledge of data security concepts and compliance frameworks (e.g., GDPR, HIPAA).
- Proficiency in SQL and scripting languages (e.g., Python).
- Bachelor’s degree in Computer Science, IT, Cybersecurity, or equivalent experience.
- Excellent communication skills, with the ability to convey complex technical concepts to varied audiences.
- Strong problem-solving abilities and experience handling technical challenges effectively.
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