- Company Name
- Spice AI
- Job Title
- Forward Deployed Engineer
- Job Description
-
Job title: Forward Deployed Engineer
Role Summary:
Embed with enterprise customers to deploy, optimize, and extend Spice.ai solutions, accelerating adoption of a unified query federation, search, and AI runtime. Lead end‑to‑end architecture, production rollout, and feature feedback loops while maintaining high performance, security, and scalability.
Expactations:
- 5+ years engineering in data, search, and AI production systems.
- Logically tackle ambiguous, complex customer problems.
- Deliver measurable impact quickly and sustainably.
- Collaborate with product, engineering, and leadership to shape feature direction.
- Travel 20%+ as required.
Key Responsibilities:
- Deploy Spice.ai OSS/Enterprise or Cloud Platform for customers.
- Configure, tune, and scale proof‑of‑concepts and production deployments.
- Resolve technical blockers, debug issues, and expand Spice.ai capabilities on‑site or remotely.
- Design full‑stack architectures integrating Spice.ai for data querying, search, and AI inference.
- Capture customer feedback, influence core product improvements, and contribute to OSS updates.
- Present technical solutions to technical and executive stakeholders.
- Drive adoption of new features and identify expansion opportunities.
Required Skills:
- Deep understanding of distributed databases, data warehouses, data lakes, and search engines.
- Proficiency with ECOS such as Databricks, Snowflake, Starburst, Dremio, ElasticSearch, or equivalent.
- Strong SQL, ETL/ELT, data integration, and performance tuning experience.
- Knowledge of HDFS, Amazon S3, relational databases, and cloud‑native stacks (Apache, CNCF).
- Experience designing secure, scalable data pipelines and managing data security, privacy, and authentication.
- Excellent communication, presentation, and customer‑relationship skills.
- Proven track record of architectural decisions in customer‑facing contexts; open‑source contributions preferred.
Required Education & Certifications:
- Bachelor’s or higher degree in Computer Science, Engineering, or related field.
- Relevant certifications in cloud platforms (e.g., AWS, GCP, Azure) or database technologies are a plus.