Software Development Engineer in Test (SDET)

We are partnering with a software company that is the industry leader in voice AI for customer service. They do this with AI that feels human, scales securely, and delivers real business results. Joining them means working on technology that makes customer service both better and cheaper, for a gigantic market of millions of potential customers. They solve huge challenges with a small team, so every improvement you will ship makes a huge difference.

As a SDET you will partner closely with Engineering, Product, and Delivery to create a more unified and scalable approach to quality. You’ll define standards, improve testing strategy, build and evolve automation and platform-level tooling, and turn customer and product insights into better validation systems. This is a hands-on engineering role for someone who is excited to work at the intersection of software quality, automation, analytics, and AI. The right person will help us move toward a modern quality engineering practice where testing is proactive, automated wherever possible, and grounded in the realities of conversational AI

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***This is a fully remote role in the US. Candidates must currently be utilizing AI in their day to day workflow. The max salary is 180k*

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What You'll

• DoAct as a senior technical authority for quality engineering; shaping how quality is built into the platform through hands-on engineering, championing a high bar across teams, and driving the practices and execution that make it re
• al.Raise the technical bar across our team of AI-enabled QA Engineers through hands-on example, code and test review, pairing, and mentorship; leveling up how a small team builds a scalable quality engineering practi
• ce.Help drive the company's AI-native quality engineering strategy to scale coverage, accelerate validation, and surface failures earli
• er.Build AI-driven testing workflows that let a small team deliver broad, scalable validation across the platfo
• rm.Own the quality feedback loop from internal dogfooding, customer A/B testing, customer feedback triage, and bug reporting, turning real-world usage into faster fixes, better test coverage, and stronger product decisio
• ns.Partner with Product and Engineering early to improve testability, shape acceptance criteria, and build quality in from the sta
• rt.Build and improve automation frameworks, validation tooling, and CI/CD quality gates for reliable, repeatable releas
• es.Use AI and analytics to expand edge-case coverage, summarize failures, and generate insights that inform roadmap and release decisio

ns.
What You'll B

• ring5+ years in SDET or quality engineering roles, with significant hands-on coding, including ownership of test strategy and release quality in complex software syst
• ems.Strong programming skills in at least one modern language (TypeScript, JavaScript, or Python), with the ability to build and own production-quality tooling and framewo
• rks.An AI-native approach to quality engineering. You know how to leverage AI to move faster, increase coverage, reduce manual effort, and build smarter testing and validation workfl
• ows.Curiosity about AI systems, conversational experiences, and the nuances of testing voice-driven product behav
• ior.Experience building quality initiatives across teams and influencing engineers, product managers, and stakeholders around a shared quality
• bar.Deep knowledge of modern testing practices, including automation, API and integration testing, regression strategy, and CI/CD-based quality workfl
• ows.Demonstrated mastery of test design, risk-based coverage, and what should be automated versus explored manua
• lly.Comfort using data, metrics, and analytics to evaluate quality and communicate trends, risk, and opportunities for improvem
• ent.Excellent collaboration and communication skills, with the ability to work effectively across Engineering, Product, and customer-facing te

ams.
Nice To

• HaveExperience testing AI and LLM-powered systems, including evaluating non-deterministic behavior, hallucinations, prompt or workflow regressions, and other quality issues unique to generative prod
• ucts.Experience working in an FDE, delivery, or professional services environment, with a strong understanding of customer-facing implementation workflows and real-world quality challe

nges.