Solution Architect, Agent & Software Testing

Tonic.ai has been de-identifying sensitive data since 2018, and hundreds of enterprises use our products, among them eBay, American Express, UnitedHealth Group, Volvo, Qualcomm, and Commonwealth Bank. Most of them came to us with the same problem: their engineers need realistic data to build and test software, and they can’t use production data to do it.

We’re looking for someone who loves to solve complex customer problems and then immediately turns around and builds a system so that this problem solves itself next time. Moreover, this person gets to the root of why and how each customer is using Tonic so that they can maximize the value every customer is getting out of our product. The ideal Solutions Architect will be proactive, coming up with creative solutions if customers aren’t getting what they need, and pressing customers when they’re not doing what they need to succeed.

Why This Role, Why Now

AI has made writing code nearly free. Knowing whether that code, and the agents built on top of it, will behave in production hasn’t gotten any easier. Agents especially need realistic, messy, data to be tested against, and basic solutions / AI slop won’t surface the failures that matter. Teams are shipping faster than their test data can keep up, and that gap is our business.

The platform is robust and scalable. What makes it valuable is someone who can walk into a customer’s environment, work out where Tonic fits in their stack and their release process, prove it in a pilot, and make it stick after the deal closes. That’s this job. You’ll work alongside our AEs before the sale and with customers’ engineering teams after it, with a direct line back to our product and engineering teams.

What You’ll Do

• Run technical discovery with prospects’ engineering, DevOps and QA teams. Map their data sources, environments and release process, and find where Tonic fits.
• Design and demo the solution, and handle the hard technical questions: security review, deployment model, performance at scale, and how Tonic fits their CI/CD.
• Scope pilots with clear, written success criteria, then run them to a decision.
• Own onboarding after the deal closes. Deploy Tonic, connect data sources, configure de-identification and subsetting, and get the customer generating usable test data within our time-to-generation targets.
• Design test-data pipelines for agent and software testing, combining de-identified production data and synthetic data to fit each customer’s environment.
• Diagnose problems as they appear: broken foreign keys, schema drift, sensitive columns missed, jobs that won’t finish. Fix them where you can. Where you can’t, understand the issue well enough to explain it clearly to the engineer who can.
• Train customer teams so they can run Tonic without you.
• Bring field insight back to product and engineering: which features matter, which bugs are blocking deals and where the product should go next.
• Support existing customers on high-complexity issues, and work with account teams to spot expansion early.
• Turn every one-off fix into something reusable: scripts, documentation, runbooks and product improvements, so each SA can support more customers than the last.

• A bachelor’s degree in a technical field (computer science, engineering, information systems, math or similar), or equivalent experience.
• 3+ years in a technical customer-facing role: Solutions Architect, Sales Engineer, Technical Customer Success or Forward Deployed Engineer.
• Hands-on experience with relational databases and data warehouses, and with cloud infrastructure (AWS, Azure or GCP). You can read a schema and tell quickly where the trouble will be.
• Working knowledge of how modern software gets built and tested: CI/CD, Docker and Kubernetes, test environments and testing frameworks.
• Comfort scripting and automating in Python and SQL. You’d rather build the fix than repeat the workaround.
• AI-native workflow. AI tools and agents are central to how you work. You know where they’re reliable and where they need your oversight.
• Ownership. You’ll often be the technical lead on an account, making sound calls without waiting to be told.
• Range. You can go deep with a DBA on one call and make the business case to a VP of Engineering on the next.
• Willingness to travel up to 25%, domestic and international., * Experience with agent evaluation and testing.
• Experience with test data management, data masking, or synthetic data tooling.
• Experience supporting security and compliance reviews in regulated industries like healthcare and financial services.
• Experience at an early-stage company or on a new product line.

• You’ll be early in agent testing, a market that’s taking shape right now, working with some of the largest companies in the world.
• You’ll see an unusually wide range of technical environments, from startups to the Fortune 500 and from cloud-native stacks to mainframes.
• You’ll have a direct line from what you see in the field to what gets built.
• You’ll help define how the next generation of software and agents gets tested.
• Competitive compensation and equity.