The Role
Lead and execute QA automation for a clinical-trials-focused startup: define test strategies, develop and run automated tests, drive the QA lifecycle, collaborate with product and engineering, and promote continuous improvement of release quality.
Summary Generated by Built In
To further our commitment to driving the growth of S32's portfolio companies, we are looking for a QA Automation Lead/Manager for a startup focused on shaping the future of clinical trial development. This hands-on automation lead will drive the software quality assurance lifecycle, collaborate to establish test strategies, and develop automated tests to ensure releases meet the highest standards.
If you are passionate about quality, automation, and continuous improvement, we would love to connect.
About us: S32 is a venture capital firm investing at the frontiers of technology. Founded by Bill Maris, the team has vast experience building iconic companies. Our goal is to accelerate the discovery, development, and distribution of revolutionary technologies that improve the human condition. We invest across the entirety of technology. This includes artificial intelligence, enterprise software, cybersecurity, fintech, quantum computing, computational biology, and biotechnology.
CompensationThe base pay range for this role is $130,000 – $190,000 per year.
Skills Required
- Hands-on automation test development and execution
- Drive the software quality assurance lifecycle (strategy to release)
- Collaborate with product and engineering to establish test strategies
- Experience promoting continuous improvement in QA processes
- Passion for quality and automation
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The Company
What We Do
S32 is a venture capital firm investing at the frontiers of technology, founded by Bill Maris. The firm focuses on accelerating the discovery, development, and distribution of revolutionary technologies that improve the human condition. They invest across various technological fields, including artificial intelligence, enterprise software, cybersecurity, fintech, quantum computing, computational biology, and biotechnology.
