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Senior Product Engineer

Solidroad· Engineering
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Hybrid (San Francisco)$200k - $250k + equityFull-timePosted 11mo ago

About the role

Senior engineer at Solidroad focusing on AI-powered CX solutions, owning major parts of the product, mentoring teammates, and shaping architecture, tooling, and product direction.

Responsibilities

  • Lead Development of Advanced Prompt Engineering and Retrieval Pipelines Architect and build scalable solutions handling thousands of customer conversations daily across integrations like Zendesk, Intercom, and Salesforce. You’ll leverage cutting-edge generation pipelines to deliver rapid insights, accurate analysis, and meaningful customer interaction scoring.
  • Architect Real-Time Multimodal Simulations Own the development of realistic, interactive training experiences across voice, video, and chat using platforms like OpenAI, ElevenLabs, and Vapi. Your simulations will dynamically adapt to user input, creating genuinely immersive learning environments.
  • Drive High-Performance User Experiences Set the technical standard for intuitive, lightning-fast interfaces built with Next.js. You'll ensure our UIs handle complex AI interactions seamlessly, even under demanding workloads, and mentor others to achieve the same standard.

Qualifications

  • Have at least 4 years of engineering experience, ideally at a startup (Series A to C), where you've helped ship complex, customer-facing products.
  • Bring strong technical leadership, including experience mentoring other engineers, leading technical decisions, or architecting significant product areas.
  • Have deep expertise in modern web technologies, product architecture, or AI integrations—bonus points if you’ve worked on notable or challenging projects we can explore together.

Skills

Required:JavaScriptNext.jsFull-stack development
Last updated Aug 26, 2026. Interested? Apply on the company site.
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About Solidroad

AI agents for CX teams, starting with training and QA.

Solidroad builds AI agents for CX teams, starting with training and QA. Solidroad agents train human reps in a simulated environment, and evaluate their performance in live customer channels. By starting with training and QA, our agents learn how humans learn, and their performance can be compared directly with human reps. This enables us to prove the value of the rest of the agents on our roadmap. Since launching last summer, we’ve reduced onboarding times by 50% at several of the world’s largest outsourced contact centres/BPOs like PartnerHero and Tech Mahindra, and improved go-live CSAT at Crypto.com by 3% (now above 90% CSAT).