Tech Stack
AWSAzureCassandraCloudDistributed SystemsDockerGoHadoopHBaseHDFSJavaKubernetesLinuxMongoDBNoSQLPythonSpark
About the role
- Aerospike is the real-time database for mission-critical use cases and workloads, including machine learning, generative, and agentic AI.
- Post-sales Technical Account Manager (TAM) role to help customers maximize the value of Aerospike's real-time data platform.
- Act as the primary technical point of contact for strategic customers, ensuring they successfully adopt and optimize Aerospike solutions.
- Provide expert guidance on best practices for deploying, scaling, and maintaining Aerospike in production environments.
- Troubleshoot and resolve complex technical issues, collaborating with internal teams, including support and engineering, when needed.
- Conduct regular technical reviews and proactively identify areas for optimization.
- Deliver technical training and enablement to customer teams to ensure product adoption and success.
- Advocate for customer needs by providing feedback to product management and engineering teams.
- Assist customers in planning and executing upgrades, migrations, and scaling initiatives.
- Monitor key performance metrics and proactively address potential risks.
- Develop and maintain strong relationships with key customer stakeholders.
- Contribute to the creation of documentation, knowledge base articles, and best practice guides.
- This is a post-sales position.
Requirements
- Excellent problem-solving and troubleshooting skills in distributed systems.
- Strong Linux experience is a must.
- Hands-on experience with Aerospike or similar databases (e.g., Yugabyte, CockroachDB, MongoDB, Cassandra, HBase, Couchbase, etc.).
- Cloud expertise: AWS, Microsoft Azure, Google Cloud.
- Strong Experience with Docker and Kubernetes.
- Ability to understand and address the complexities of mission-critical applications.
- Strong customer-facing skills, with experience working with developers and C-Level executives.
- Self-starter with the ability to assess, prioritize, and execute tasks with minimal supervision.
- Ability to work well under pressure and manage multiple accounts effectively.
- Experience providing technical training and enablement.
- Hands-on expertise with databases: NoSQL, Relational, Distributed, MPP.
- Knowledge of Hadoop, Spark, HBase, HDFS, Hive, and Impala.
- Proficiency in one or more programming languages: Java, C/C++, Python, Go, etc.
- Understanding of computing infrastructure: Networking, CPUs, SSDs, Memory, etc.
- Experience working in a startup or high-growth environment.
- The ability to travel up to 30% of the time.