Solutions Architect

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interVal

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2019

☁️ SaaS

💳 Fintech

🤖 Artificial Intelligence

💰 $1.2M Seed Round - InterVal on 2021-04

SaaS • Fintech • Artificial Intelligence

interVal is a SaaS platform that uses machine learning and natural language processing to extract, analyze, and surface actionable insights from year-end financial and tax documents. It transforms raw financial statements and integrated bookkeeping data (QuickBooks Online, Xero, Sage, Caseware) into valuation metrics, business health KPIs, protection gaps, loan and investment signals, and client-ready reports to help wealth managers, accounting firms, banks, and other financial institutions identify opportunities and grow AUM. The platform emphasizes enterprise-grade security (SOC 2 Type II, AWS hosting), automated advisory workflows, and features aimed at making advisors more proactive and efficient when serving SMB clients.

📋 Description

• Architect end-to-end solutions that integrate Interval’s data-exchange, privacy, and AI capabilities with customers’ existing cloud warehouses, lakehouses, and BI stacks. • Lead technical discovery & design workshops with data, analytics, and ML teams; produce reference architectures, sequence diagrams, and implementation plans. • Prototype & run POCs showcasing secure LLM workflows, private-model training, and governed data-sharing on Interval’s EVM-backed network. • 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. • Collaborate cross-functionally with Product, Engineering, and Sales to influence roadmap priorities and ensure customer success. • Create reusable assets and enablement content that scale architectural best practices across the organization. • Evangelize Interval through conference talks, blog posts, and community contributions to the modern data stack and open-source AI tooling.

🎯 Requirements

• 8 + years designing and delivering enterprise SaaS or cloud data solutions, with recent senior-level ownership of architecture or presales design. • Deep hands-on expertise with at least one of Databricks, Snowflake, GCP, AWS or Salesforce Data Cloud. • Working knowledge of machine-learning & LLM workflows (vector DBs, embedding pipelines, fine-tuning, RLHF) and the surrounding ML-Ops toolchain. • Fluency in SQL and one scripting language (Python preferred); ability to read infrastructure-as-code • Strong grasp of modern data-governance, security, and compliance patterns (encryption, IAM, row/column-level security). • Exceptional written & verbal communication skills—you can whiteboard complex systems and influence both executive and engineering audiences.

🏖️ Benefits

• Shape the frontier of AI, blockchain, and enterprise data infrastructure. • Build tools with real-world impact—help global enterprises activate and monetize their most valuable data assets. • Thrive in a sharp, mission-driven team backed by top-tier technical leadership and investors. • Enjoy meaningful equity, flexible work, and the autonomy to innovate where data, AI, and privacy meet.