7 months ago
Responsibilities
- Act as a senior technical authority for quality engineering and shape quality practices across the platform.
- Mentor AI-enabled QA Engineers through code and test reviews, pairing, and hands-on technical guidance.
- Develop AI-driven testing workflows, automation frameworks, validation tooling, and CI/CD quality gates.
- Own the quality feedback loop across dogfooding, customer A/B testing, feedback triage, and bug reporting.
- Partner with Product and Engineering to improve testability, acceptance criteria, and quality from the start.
- Use AI, data, metrics, and analytics to expand edge-case coverage, summarize failures, and inform release decisions.
Requirements
- 5+ years of SDET or quality engineering experience with significant hands-on coding and ownership of test strategy and release quality.
- Strong programming skills in at least one of TypeScript, JavaScript, or Python.
- Experience building production-quality testing tools and frameworks and driving quality initiatives across teams.
- Deep knowledge of automation, API and integration testing, regression strategy, CI/CD-based quality workflows, and risk-based test design.
- Ability to evaluate quality using data, metrics, and analytics and communicate trends, risks, and opportunities.
- Strong collaboration and communication skills across Engineering, Product, and customer-facing teams.
- Preferred: experience testing AI and LLM-powered systems, including nondeterministic behavior, hallucinations, prompt or workflow regressions, and generative-product quality issues.
- Preferred: experience in an FDE, delivery, or professional services environment.
Benefits
- Distributed remote work arrangement.
- Company-wide offsites and smaller team gatherings.
- Technology and learning stipend for conferences, books, and courses.
- Flexible vacation, paid sabbatical after five years, comprehensive benefits, and physical and mental wellness stipend.
- Equity participation.
- Competitive salary.
Tech Stack
Categories
About Replicant
Replicant builds a conversational AI platform for contact centers that automates customer service over voice and chat and provides conversation intelligence and QA. It sells its AI agents and analytics as a SaaS offering to enterprises aiming to resolve calls and deflect tickets. Founded in 2017 and headquartered in San Francisco, the company is privately held and last raised a Series B in 2022.