Jobs at Mia Labs

Build and maintain scalable Python backend systems, data pipelines, orchestration assets, data models, and reporting foundations. Improve data quality, observability, and reliability while integrating AI/LLM workflows into production data products. Contribute to FastAPI backend systems, cloud infrastructure, CI/CD, testing, and architecture decisions. Partner with cross-functional stakeholders, mentor engineers, and lead scalable technical solutions.

Own dealership customer relationships from onboarding through renewals, driving adoption, retention, and expansion revenue. Lead technical onboarding by configuring workflows, call routing, and CRM integrations; troubleshoot telephony and integration issues with engineering; interpret SQL, dashboards, and analytics; deliver training, documentation, and business reviews; support launches and pilots; and proactively resolve risks. The role requires strong communication, technical aptitude, dealership workflow expertise, and customer-facing confidence.

Own the full B2B SaaS sales cycle, from prospecting through negotiation and close, while meeting quotas and acquiring automotive dealership customers. Present AI solutions and ROI cases to executives, build pipeline through cold outreach, expand accounts through cross-selling and upselling, and collaborate with Client Success and Solutions Engineering. The role requires technical aptitude, complex deal experience, strong negotiation skills, and comfort working in an ambiguous early-stage startup.

As a Product AI Engineer, you will design scalable backend systems, contribute to frontend features, improve voice pipeline performance, and mentor team members.

Join Mia Labs as a Software Engineer focusing on backend Python development, system design, and scalable architecture for the automotive industry, incorporating AI solutions.

Build and optimize a real-time voice AI pipeline (STT, LLM orchestration, TTS) with strict latency targets, improve model performance and observability, optimize cost, integrate vendor models, and ship production AI features with guardrails.

Build and maintain integrations and backend systems connecting an AI agent to dealership platforms. Own end-to-end production changes, respond to Azure-based incidents, support dealer onboarding and launches, partner with client-facing teams, and improve engineering processes and tooling.