Solutions Architect

Location: Tel Aviv, Israel

Department: Sales Engineering

Aerospike is the real-time database for mission-critical use cases and workloads, including machine learning, generative, and agentic AI. Aerospike powers millions of transactions per second with millisecond latency, at a fraction of the total cost of ownership compared to other databases.

Global leaders, including Adobe, Airtel, Barclays, Criteo, DBS Bank, Experian, Grab, HDFC Bank, PayPal, Sony Interactive Entertainment, The Trade Desk, and Wayfair, rely on Aerospike for customer 360, fraud detection, real-time bidding, profile stores, recommendation engines, and other use cases. 

Headquartered in Mountain View, California, Aerospike has a global presence with offices in London, Bangalore, and Tel Aviv.

Job Summary

Aerospike is looking for a technically sharp, customer-focused Solutions Architect to help drive adoption of our blazing-fast real-time data platform. In this high-impact role, you’ll partner closely with our sales team to win business by translating complex technical capabilities into clear, compelling value for our customers.

Based in Israel, you’ll serve as the technical expert and strategic advisor throughout the sales process — from discovery to demo to deployment. Whether it’s architecting a high-scale solution, answering in-depth questions, or running a proof of concept, your expertise will be key to helping customers realize the power of Aerospike.

This is a pre-sales position.

Responsibilities:

Preparing and developing technical presentations to explain our company's products or services to customers.

• Discussing equipment needs and system requirements with customers and engineers.
• Collaborating with sales teams to understand customer requirements and provide sales support.
• Researching, developing, and identifying modifying products to meet customers' technical requirements and needs.
• Soliciting and logging client feedback and evaluating the data to create new sales and marketing strategies to target customers.
• Identifying areas for improvement and communicating these issues as well as possible solutions to upper management, including product managers.
• Setting and achieving sales goals and quotas.
• Training other members of the sales team on the technical aspects of the company's products and services.

Prerequisites

• Excellent presentation, communication, and interpersonal skills
• Excellent customer-facing skills directed toward C-Level and Developers
• Linux experience is a must
• Databases; NoSQL, Relational, Distributed, MPP
• Self-starter: must be able to assess, prioritize and complete work with minimal supervision
• Ability to work well under pressure
• Hadoop; Spark, HBase, HDFS, Hive, Impala
• Independent problem solving and troubleshooting skills
• Understand the complexities of mission critical applications
• Feedback field requirements to product management and engineering 
• Enable customers and partners through Meetups, ‘Beer and Curry’, Training sessions and Hack-a-Thons
• Knowledge Graph, Timeseries, and Feature Stores
• Language: Strong coding skills in at least one language: Java, C/C++, Python, Go,etc

Preferred

• Database; Aerospike, Yugabyte, Cockroach, MongoDB, Cassandra, HBase, Couchbase, etc.
• Cloud; AWS, Microsoft, Google 
• Docker and Kubernetes
• Compute knowledge; Networking, CPUs, SSDs, Memory, etc.
• The ability to travel up to 30% of the time.
• Previous experience working for a small to medium business
• Based in Israel. 

Aerospike is an Equal Opportunity Employer. We are committed to providing an environment free from discrimination on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law.

To keep our recruitment pipeline as high-performance as our database, Aerospike uses AI-driven tools to streamline resume reviews, scheduling, and communication. While we love smart tech, we value human connection even more. AI helps us optimize the process, but real people make 100% of the actual hiring decisions.