Solution Architect, Agent & Software Testing

Role overview Help organizations deploy and get lasting value from software that prepares realistic, privacy-safe data for testing software and AI agents. You’ll guide technical evaluations before a sale, lead implementation afterward, and connect customer needs with product and engineering improvements. The work spans hands-on data and infrastructure problem-solving, customer education, and building reusable methods that make future deployments more efficient.

Responsibilities - Lead technical discovery with engineering, DevOps, and QA teams to understand data sources, environments, and release workflows. - Design and demonstrate solutions, address questions about security, deployment, performance, and CI/CD integration, and define pilot success criteria. - Deploy the platform, connect data sources, configure data de-identification and subsetting, and help customers generate usable test data on schedule. - Build test-data pipelines that combine de-identified production data and synthetic data for software and agent evaluation. - Diagnose data and pipeline issues such as schema changes, missed sensitive fields, broken relationships, or jobs that fail to complete; resolve them or explain them clearly to the right technical owners. - Train customer teams, support complex issues, and share field feedback with product and engineering. - Turn recurring solutions into scripts, documentation, runbooks, or product improvements.

Requirements - Technical degree or equivalent practical experience. - At least three years in a customer-facing technical role, such as solutions architecture, sales engineering, technical customer success, or forward-deployed engineering. - Hands-on experience with relational databases or data warehouses and a major cloud platform; able to inspect schemas and spot likely problems. - Working knowledge of software delivery and testing, including CI/CD, Docker, Kubernetes, test environments, and testing frameworks. - Ability to script and automate with Python and SQL. - Sound judgment using AI tools and agents, including knowing where they need human oversight. - Ownership of technical customer engagements, clear communication with both engineers and senior business stakeholders, and willingness to travel up to 25% domestically and internationally.

Nice to have - Experience evaluating or testing AI agents, or working with test data management, data masking, or synthetic data tools. - Experience supporting security or compliance reviews in regulated sectors such as healthcare or financial services. - Experience at an early-stage company or on a new product line.

Benefits and work setup - Competitive compensation and equity. - Customer work includes a mix of domestic and international travel, up to 25%.