8VC
Software Engineer - MeritFirst
About this role
MeritFirst is seeking a Software Engineer in Austin to build a talent assessment platform that evaluates job candidates based on demonstrated ability rather than credentials. You'll own full-stack product problems—from candidate experiences and assessment engines to employer workflows and evaluation systems—working directly with founders and users to ship features, observe real-world behavior, and iterate quickly.
What you'll do
- Build candidate-facing and employer-facing experiences for demonstrating and evaluating ability
- Develop a flexible assessment platform with primitives for creating, delivering, and evaluating job-related challenges
- Own problems end-to-end from user research through system design, implementation, deployment, and iteration
- Transform manual human workflows into reliable, auditable software systems
- Design evaluation systems that are consistent, interpretable, and resistant to gaming
- Collaborate with assessment experts, operators, and users to balance automation with human judgment
What they're looking for
- Full-stack software engineering and system design
- Product thinking and problem decomposition
- Backend and frontend development
- Database and infrastructure design
- Testing and quality assurance practices
- Working with ambiguous requirements and shipping iteratively
- AI/ML integration with emphasis on explainability and trust
- Collaborative problem-solving with non-technical stakeholders
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8VC
8VC backs companies building AI-powered enterprise software, including Thorin, which creates autonomous agents that proactively manage workflows across business platforms like Slack and email, and MeritFirst, which develops merit-based talent assessment tools. The firm is hiring Product Engineers, full-stack AI Engineers, and Software Engineers for seed-stage startups where early hires own features end-to-end and work closely with founding teams.
View all jobs at 8VCLikely interview questions
- Tell us about a time you owned an ambiguous product problem end-to-end, from research to shipping and learning from real users.
- How would you approach designing an assessment system that candidates and employers both trust to fairly and accurately predict job performance?