Field Senior Solution Architect drives the presales process at Hazelcast.
Successful Pre-Sales is where an Opportunity is won, whether net-new, renewal or expansion. Because Hazelcast is a very technical product, the critical aspect of the Pre-Sales process is to ensure the technical win, as well as renewal and expansion.
The Field SA will also maintain technical relationships with the customer. They should keep a nurturing eye on the customer and check in with them from time to time by email, conversation, or formal meeting. They should ensure the customer's feature requests are promoted and generally be an advocate for their customer.
The Field Solution Architect is expected to engage in the following:
- Account Management - The Field SA will also maintain technical relationships so that customer has pro-active communication channel with Hazelcast.
- Support - Periodically Monitor Support e-mails support activity and ensure that the Customers within your region are well taken care of. Take necessary actions to ensure customer success.
- Customer Expansion - Identify new needs, new projects and opportunities to expand.
- Customer Care - Keep a nurturing eye on the customer.
- Product Management - Ensure the customer's feature requests are captured and communicated to product management.
- Renewals - Identify and Raise risk factors for renewals.
- Consulting - Keeping an eye out for customer needs that could be fulfilled by Consulting from Hazelcast.
Key Skills:
- Minimum of 2 years in presales for technically-oriented enterprise software products.
- Minimum of 5 years hands-on programming, ideally in Java.
- Experience with in-memory data grid technologies and caching.
- Experience with NoSQL and SQL databases.
- Knowledge of distributed computing architectures and challenges, such as multi-threading, scaleability, CAP Theorem, etc.
- Experience with Cloud(AWS, Azure, GCP) and Container technologies (Docker, Kubernetes, etc.)
- Experience with DevOps tools and tool-chains (Eclipse/IntelliJ, GitHub, Maven, etc.)
- Experience with monitoring frameworks
- Performance tuning and profiling
Additional desired experience:
- Programming with other languages, particularly Python, Javascript, C# and Go.
- Working with data science and machine learning.
- Stream processing/analytics technologies such as Apache Spark, Apache Beam, Kafka Streams, etc.
- Architecting complex solutions
- Work with Internet of Things use-cases
- Industry and vertical knowledge
- Cybersecurity or other specialized skills