Spice AI

• An exceptional engineer.
• A problem solver who starts with customer problems and solves them with technology.
• A thinker who challenges the status quo, rejects the current world model, and builds better for everyone.
• A positive force who asks what's possible instead of focusing on limitations.
• Someone who views work as meaningful, not just a job.
• Comfortable with ambiguity and unknowns, leading by creating clarity.
• Passionate about high performance with high standards.

• 5+ years in engineering roles, with focus on deploying data, search, and AI systems in enterprise environments.
• Experience designing, implementing, and scaling production database engines, distributed systems, search engines, and data & AI pipelines.
• Track record of strong design, architectural, engineering, and product decisions in customer-facing contexts.
• Excellent communication skills.
• Ability to ramp up quickly and deliver impact.
• Contributions to open-source projects preferred.
• Experience with Apache infrastructure, CNCF stack, or cloud-native development.
• Deep knowledge of databases, data warehousing, data lakes, search, virtualization, and mesh principles.
• Proficiency with Databricks, Snowflake, Starburst, Dremio, ElasticSearch, or similar.
• Strong SQL skills in queries, syntax, modeling, and optimizations.
• Familiarity with data storage like HDFS, Amazon S3, and relational databases.
• Skills in data integration, including ETL/ELT, ingestion, and transformation.
• Ability to tune performance and optimize systems.
• Knowledge of data security, privacy, authentication, authorization, and encryption.
• Problem-solving for complex data challenges.
• Presentation skills for technical and executive audiences.
• Ability to explain concepts to technical and non-technical stakeholders.
• Relationship-building with customers and partners.
• Willingness to travel 20%+ based on customer needs.

• Embed with enterprise customers and partners to deploy Spice.ai OSS/Enterprise and Cloud Platform in production.
• Build, configure, and optimize proof-of-concepts and deployments for performance, scalability, and security.
• Collaborate with engineering to incorporate customer feedback into core product features.
• Resolve technical blockers, debug issues, and extend Spice.ai capabilities on-site or remotely.
• Design end-to-end architectures using Spice.ai for data querying, search, and AI inference.
• Identify expansion opportunities and drive adoption of new features.
• Work side-by-side with founders as a leader in customer success engineering.
• Contribute to Spice.ai OSS improvements based on real-world usage.
• Own initiatives to refine offerings and deliver superior developer experiences.

• First week: Deploy a Spice.ai instance for a customer scenario and fix a deployment issue.
• First month: Ramp up, lead a POC deployment, and contribute optimizations to Spice.ai OSS.
• 30-60 days: Take ownership of a customer deployment area, from architecture to production rollout.
• 60-90 days: Propose and execute a technical strategy for scaling customer integrations.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.