Sales Engineer
Secure it Securities Corp
Amazon RedshiftAWSAzureCassandraCloudDynamoDBGoogle Cloud PlatformHBaseHDFSKubernetesLinuxMongoDB+1 more
Sales Engineer
Secure it Securities Corp
full-time
Posted on:
Origin: • 🇺🇸 United States • North Carolina
Visit company websiteJob Level
Mid-LevelSenior
Tech Stack
Amazon RedshiftAWSAzureCassandraCloudDynamoDBGoogle Cloud PlatformHBaseHDFSKubernetesLinuxMongoDBOracle
About the role
- Drive sales efforts by offering expertise on security solutions, particularly in Data Security Posture Management (DSPM) and Cloud Security.
- Work closely with the sales team to understand customer needs, demonstrate value, and ensure enterprise clients' data is secure and compliant across cloud environments and data systems.
- Lead and engage throughout the sales lifecycle: discover requirements, write proposals, demonstrate solutions, architect tailored security architectures, build customer trust, and drive POCs to achieve technical wins.
- Partner with the sales team to drive the technical aspects of the sales cycle; lead discussions around Data Discovery, DSPM, and cloud security; present tailored security solutions.
- Use industry best practices to help customers navigate complex situations and align solutions with broader business objectives.
- Provide technical leadership in securing cloud environments (AWS, Azure, GCP, Oracle) focusing on data protection, regulatory compliance, and cloud infrastructure security.
- Advise customers on SaaS application security best practices to meet security and compliance standards.
- Lead discussions around Data Access Controls, Compliance (GDPR, HIPAA, PCI-DSS), and Data Governance best practices.
- Conduct product demos, POCs, and presentations to communicate value to technical and non-technical stakeholders.
- Collaborate cross-functionally with engineering, product management, and customer success to ensure successful implementation and maintain strong client relationships.
- Work with post-sales teams to ensure customers fully realize the value of their investments through effective implementation and optimization.
Requirements
- Technical Expertise in Data Discovery: Experience defining and implementing Data Discovery policies, including techniques such as REGEX, Patterns, Dictionaries, Keywords and Exact Data Matching.
- Operational Proficiency with Cloud Infrastructure: Hands-on experience with cloud infrastructure, specifically AWS, Azure, GCP, and Oracle including identity and access management (IAM), and cloud security best practices.
- Experience with DSPM: Strong knowledge of Data Security Posture Management (DSPM) and its application in cloud environments.
- SaaS Security: Experience in securing SaaS applications and providing guidance on applying security best practices in cloud-based applications.
- Data Governance & Compliance: Understanding of Data Access Controls, Data Governance, and compliance frameworks such as GDPR, HIPAA, and PCI-DSS.
- Data Systems: Operational experience with one or more of the following data systems: MongoDB, Cassandra, DynamoDB, HDFS, Hive, HBase, AWS S3, DynamoDB, Redshift, Azure file and blob storage, etc.
- Linux & Kubernetes: Proficiency in Linux and Networking, with experience in containerized environments using Kubernetes is a plus.
- Sales Engineering Experience: Proven experience in a Sales Engineer or Pre-Sales Engineer role, with a strong ability to engage with both technical and non-technical stakeholders.
- Effective Communication Skills: Strong verbal and written communication skills, with the ability to articulate complex technical solutions clearly to a diverse audience.
- General knowledge of privacy regulatory requirements: Understanding of gathering consent, complying with Data subject rights, data mapping, and or data breach.
- Successful Sales Engineering track record with minimum of 5+ years pre-sales engineering or consulting role focusing on medium and large enterprise accounts.
- Bachelor's degree in a technical field or a related discipline.
- Relevant industry certifications with focus on cloud or security such as AWS Fundamentals, Azure, GCP, CISSP, CISM or similar.
- Experience with security tools and platforms focused on data protection, cloud security, and compliance.
- Expertise in CASB (Cloud Access Security Brokers), SASE (Secure Access Service Edge), and DLP (Data Loss Prevention) technologies and their business applications.
- Strong technical acumen with ability to comprehend & communicate intricate technical concepts.
- Experience in designing, developing, and refining RAG (Retrieval-Augmented Generation) models.
- Knowledge of vector databases and indexing methods to store and retrieve information for conversational contexts.
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