Partner with Account Executives and the global sales organisation to support technical sales cycles, prioritise resources, and drive deals to a successful close.
Actively engage with prospects to assess complex pain points and deliver tailored solutions that align platform capabilities to business use cases.
Drive technical engagement across channel sales networks, including ISVs, vendors, and consultancies.
Travel throughout EMEA as needed to support sales efforts, grow opportunity scope, and engineer tangible customer solutions.
Lead discovery sessions with technical and business stakeholders to design solution architectures across on-premises, cloud, hybrid, and Kubernetes environments.
Deliver tailored product demos and clearly articulate core concepts such as distributed caching, partitioning, replication, persistence, high availability, and disaster recovery.
Plan, manage, and execute complex Proof of Concept (POC) engagements with clearly defined success criteria.
Support performance testing, troubleshooting, sizing, configuration tuning, and competitive evaluations.
Respond to RFPs, RFIs, security reviews, and architecture reviews.
Drive the standardisation and creation of sales engineering best practices, reusable demos, architectural diagrams, and technical content.
Act as the voice of the field by sharing customer feedback with Product and Engineering teams to influence the roadmap.

Minimum 5 years of hands-on, Sales Engineer experience in enterprise technology.
Proven ability to navigate and engage confidently with audiences at all levels—from developers, DevOps, and architects to CIOs, CTOs, and CXOs—with a solution-oriented, collaborative mindset.
Direct experience with in-memory data grids or distributed caching platforms (e.g., Apache Ignite, Redis, Hazelcast, Oracle Coherence, GemFire).
Foundational knowledge of distributed systems, caching, databases, middleware, or data platforms.
Hands-on experience with an enterprise language (Java, .NET, or Python), web stack technologies, Linux, networking, containers, and Kubernetes.
Strong understanding of Banking & Financial Services disciplines, including payments, risk management, fraud detection, and anti-money laundering (AML).
Experience working 100% remotely, with the willingness to travel regionally across EMEA and work off-hours when deals require it.
Exceptional presentation, whiteboarding, troubleshooting, and written communication skills, paired with a high level of personal organisation.
English Fluency is mandatory.

Fluency in an additional European language is beneficial (Spanish, French or German preferred).
Knowledge of SQL, JDBC/ODBC, Spring, Kafka, REST APIs, microservices, and event-driven architectures.
Background working with low-latency or high-throughput systems.
Experience in pre-sales for Open Source Software (OSS), SaaS, managed services, or public cloud engineering environments.
Familiarity with modern observability tools (Prometheus, Grafana, OpenTelemetry, Splunk, Datadog) and enterprise security frameworks (TLS, authentication, authorisation).
Vertical industry knowledge in Telecom, Retail, Logistics, or Real-Time Analytics.
A history of public speaking, presenting at tech conferences, or writing technical blogs and articles.

Travel is expected to support your work with the sales team & potential customers
MariaDB does not sponsor work visas or relocation.

MariaDB is hiring a Sales Engineer GridGain