Solutions Architect

<p class="p1"><strong>About Interval</strong></p> <p class="p1">Interval helps enterprises turn messy, underused data into governed, high-confidence&nbsp;intelligence—without handing control to a black box. We bring compute to your data with a private&nbsp;data lakehouse, verifiable audit trails, and <strong>U-AI</strong>, our contextual AI framework for secure AI&nbsp;workflows.</p> <p class="p1"><strong>Our platform is built around three outcomes:</strong><br>- Control: Keep ownership of your data and how models use it.<br>- Verify: Audit what happened, why it happened, and where results came from.<br>- Monetize: Create new revenue opportunities through private, permissioned data exchange.&nbsp;</p> <p><strong>The Opportunity</strong><br>As a Senior/Staff Solutions Architect you will be the technical face of Interval for our largest&nbsp;customers—designing, validating, and operationalizing modern data &amp; AI architectures that span multicloud environments and leading SaaS platforms (Databricks, Snowflake, GCP, AWS, Salesforce,&nbsp;and more). You’ll translate ambitious business outcomes into secure, performant, and governable solutions that unlock the power of Interval’s platform.</p> <p><strong>What You’ll Do</strong></p> <ul> <li>Architect end-to-end solutions that integrate Interval’s data-exchange, privacy, and AI&nbsp;capabilities with customers’ existing cloud warehouses, lakehouses, and BI stacks.</li> <li>Lead technical discovery &amp; design workshops with data, analytics, and ML teams;&nbsp;produce reference architectures, sequence diagrams, and implementation plans.</li> <li>Prototype &amp; run POCs showcasing secure LLM workflows, private-model training, and governed data-sharing on Interval’s EVM-backed network.</li> <li>Serve as a trusted advisor to enterprise stakeholders—CTOs, CDOs, and Heads of AI—on topics such as data-governance, compliance (HIPAA, GDPR), and ML-ops best practices.</li> <li>Collaborate cross-functionally with Product, Engineering, and Sales to influence roadmap priorities and ensure customer success.</li> <li>Create reusable assets and enablement content that scale architectural best practices across the organization.</li> <li>Evangelize Interval through conference talks, blog posts, and community contributions to the modern data stack and open-source AI tooling.</li> </ul> <p><strong>What We’re Looking For</strong></p> <ul> <li>8 + years designing and delivering enterprise SaaS or cloud data solutions, with recent&nbsp;senior-level ownership of architecture or presales design.</li> <li>Deep hands-on expertise with at least one of Databricks, Snowflake, GCP, AWS or Salesforce Data Cloud.</li> <li>Working knowledge of machine-learning &amp; LLM workflows (vector DBs, embedding pipelines,&nbsp;fine-tuning, RLHF) and the surrounding ML-Ops toolchain.</li> <li>Fluency in SQL and one scripting language (Python preferred); ability to read infrastructure-as-code</li> <li>Strong grasp of modern data-governance, security, and compliance patterns (encryption, IAM, row/column-level security).</li> <li>Exceptional written &amp; verbal communication skills—you can whiteboard complex systems&nbsp;and influence both executive and engineering audiences.</li> </ul> <p><strong>Nice to Have</strong></p> <ul> <li>Experience with blockchain-based data protocols, tokenization, or zero-knowledge proofs.</li> <li>Prior success building reference architectures or contributing to OSS projects in the data/AI ecosystem.</li> <li>Domain exposure in high-signal industries (finance, energy, real estate, logistics) where data provenance and policy enforcement are mission-critical.</li> </ul> <p><br><strong>Why Join Interval?</strong></p> <ul> <li>Shape the frontier of AI, blockchain, and enterprise data infrastructure.</li> <li>Build tools with real-world impact—help global enterprises activate and monetize their most valuable data assets.</li> <li>Thrive in a sharp, mission-driven team backed by top-tier technical leadership and investors.</li> <li>Enjoy meaningful equity, flexible work, and the autonomy to innovate where data, AI, and privacy meet.</li> </ul>