Among software quality assurance analysts and testers, AI is already used for a large share of the tasks. Measured exposure for software quality assurance analysts and testers: 52% (high).

Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.

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About the job

Veeva Systems is a mission-driven organization and pioneer in industry cloud, helping life sciences companies bring therapies to patients faster. As one of the fastest-growing SaaS companies in history, we surpassed $3B in revenue in our last fiscal year with extensive growth potential ahead.

At the heart of Veeva are our values: Do the Right Thing, Customer Success, Employee Success, and Speed. We're not just any public company – we made history in 2021 by becoming a public benefit corporation (PBC), legally bound to balancing the interests of customers, employees, society, and investors.

As a Work Anywhere company, we support your flexibility to work from home or in the office, so you can thrive in your ideal environment.

Join us in transforming the life sciences industry, committed to making a positive impact on its customers, employees, and communities.

The Role

Nitro is an AI-native data platform that democratizes life sciences data for non-technical commercial teams, turning fragmented HCP/HCO, prescription, and industry data into decisions the field can act on. We're looking for a QA Engineer to drive quality for the platform and help modernize how we test it. Here, testing isn't a gate bolted onto the end of shipping, it's part of the same function as building and deploying. You'll own your share of that full chain. This is a junior role for someone who wants to build a real career in QA and automation. You'll start hands-on with day-to-day testing and grow into broader ownership of our test automation as you develop. We're investing in making our testing environment more AI-forward, and you'll have real room to shape and extend that work, not just maintain what exists. The function itself is evolving, too: our Operations org is moving from traditional QA toward evaluating AI-native systems, and this role is your entry point into where that's headed.