The Senior Sales & Partner Solutions Architect engages with customers and partners, addresses technical issues, and architect solutions while promoting Spice AI's capabilities.
Building data-driven AI applications and agents is too complex, even for advanced developers. At Spice AI, we’re making it simpler by helping developers combine code, data, and AI to build truly intelligent, decision-making systems. Our mission is to make this as easy as creating a modern web page.
We created Spice.ai OSS, a portable AI database written in Rust with a unified SQL interface to query, materialize, and accelerate data from any source, co-located with machine learning models. By bringing compute, data, and models together, Spice OSS enables secure AI-Feedback-Loops (AI-Fly-Wheels) for apps and agents to learn and adapt. We just announced the 1.0-stable release of Spice.ai OSS.
For a deeper dive into the vision, watch Luke's CMU Databases talk on Spice.ai OSS at https://www.youtube.com/watch?v=tyM-ec1lKfU and read his Materialized View interview at https://materializedview.io/p/building-a-cdn-for-databases-spice-ai.
We're also building the Spice.ai Cloud Platform, offering managed, cloud-scale Spice.ai OSS along with tools for high-performance SQL, machine learning training, and inference in an interconnected AI backend-as-a-service.
At Spice AI, we hire for MEI: Merit, Excellence, and Intelligence. We're looking for exceptional, top-tier engineers - A players - who are driven to solve hard problems and push the boundaries of what's possible for AI.
About the role
As a Spice AI Sales & Partner Solutions Architect, you'll work with the technical community to innovate and develop strategies and solutions supporting successful customer and partner outcomes. Qualified candidates have the demonstrated capability to excel in fast-paced environments, can work with ambiguity, and focus on driving the business. The Solutions Architect must be passionate about Spice AI's mission, thrive in dynamic environments, and willing to jump in and get things done. The candidate is equally comfortable in both business and technical contexts, interacting both with executives and technology practitioners.
What you’ll be doing
Engaging with Spice AI prospects, customers, and partners in preparing and presenting Spice AI solutions and technologies while addressing any technical questions or concerns that arise during the sales cycle.
Supporting the technical needs of customers and resolving technical issues, along with engaging on any additional issues, problems, or opportunities regarding Spice AI.
Developing a deep understanding of Spice AI and working closely with Engineering, Sales, Marketing, and other teams to resolve business and/or technical issues.
Traveling to prospects, customers, and partners, serving as a key technical interface to them.
Understanding the business drivers, challenges, and objectives across various industries and domains.
Designing and architecting end-to-end solutions leveraging Spice AI's capabilities, including data querying, application development, and AI.
Configuring, optimizing, and leading Spice AI POCs to meet the performance, scalability, and security requirements for prospects, customers, and partners.
Serving as a trusted advisor, providing expert guidance and recommendations on leveraging Spice AI effectively.
Building and maintaining strong customer and partner relationships, ensuring high levels of satisfaction and retention.
Identifying opportunities for expanding the usage of Spice AI within customer and partner organizations and driving adoption of new features and capabilities.
What We're Looking For
- 5 - 7+ years' experience, with the majority focused on large enterprises as a Sales Engineer or Presales Solutions Architect.
- Knowledge of databases and data warehousing concepts.
- Strong understanding of data architecture concepts, including data lakes, data virtualization, and data mesh principles.
- Experience with Databricks, Snowflake, Starburst, Dremio, and related products.
- Familiarity with big data processing frameworks like Apache Spark, Hadoop MapReduce, and Hive.
- Strong experience and expertise with SQL queries, syntax, data modeling and optimizations.
- Knowledge of various data storage technologies, such as HDFS, Amazon S3, and relational databases.
- Experience with data integration techniques, including ETL/ELT processes, data ingestion, and data transformation.
- Ability to perform performance tuning and optimization of Spice AI.
- Knowledge of data security and privacy best practices, including authentication, authorization, and data encryption.
- Strong problem-solving skills and ability to design and implement solutions to complex data challenges.
- Excellent presentation skills with the ability to speak in front of senior technical and executive audiences.
- Ability to articulate technical concepts and solutions to technical and non-technical audiences.
- Effective in building strong relationships with customers, partners, and other stakeholders.
- Ability to travel at least 20% of the time, based on customer and partner requirements.
Bonus/Nice to Have Qualifications
- Relevant technical certifications, including those for Databricks, AWS, Snowflake, and/or similar data platforms and technologies.
About Spice AI
Founded in June 2021 by Microsoft and GitHub alumni Luke Kim and Phillip LeBlanc, Spice AI creates technology to help developers build intelligent applications and agents that learn and adapt.
Before co-founding Spice AI, Luke was the co-creator of Azure Incubations in the Office of the Azure CTO, where he led cross-functional engineering teams to create and develop technologies including Dapr and OAM.
Spice AI is backed by some of the top industry angel investors and leaders, including Nat Friedman, Mark Russinovich, CTO of Microsoft Azure, and Thomas Dohmke, CEO of GitHub, who is also on the board.
Spice AI also has notable VC backing from Madrona Venture Group, Basis Set Ventures, Founders' Co-op, and Picus Capital.
Learn more:
- On TechCrunch and GeekWire
- About the team at spice.ai/careers
- The Spice.ai general availability announcement blog post
- The Spice.ai OSS project announcement blog post
Top Skills
Amazon S3
Spark
Databricks
Dremio
Hadoop
Hdfs
Hive
Rust
Snowflake
SQL
Starburst
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