🕒 8 days ago
Act on high-intent dealer signals, call strategic automotive groups, qualify opportunities for account executives, and improve outreach by sharing which signals and messages convert.
Mia-Labs jobs
Automated customer communications for dealerships, including call answering and appointment scheduling.
🏢 Automotive Technology🤖 Customer Communication Automation
9 open roles at Mia-Labs
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🕒 29 days ago
Own dealership customer relationships from onboarding through renewal, combining technical implementation, workflow troubleshooting, and data-driven guidance to improve adoption, customer outcomes, and account growth.
📅 Sep 22
Own OEM billing integrations and data platform reliability, building Python backend services, dbt models, dashboards, and alerting while ensuring accurate reconciliation across partner APIs, CRM data, and file feeds.
📅 Sep 2
Own the full sales cycle for AI solutions, from cold prospecting and qualification to negotiation and close, while building pipeline, winning dealership customers, and growing revenue through account expansion.
📅 Sep 2
Own dealership customer relationships from onboarding through renewal, combining technical implementation, product expertise, and data-driven guidance to improve adoption, resolve issues, and grow accounts.
📅 Jul 28
Build and maintain dealership platform integrations and product features, own production changes and incident response, and partner directly with clients to launch, troubleshoot, and improve technical solutions.
📅 Jul 27
Build and evolve scalable Python backend systems and React features, improving real-time voice and multi-channel communication while leading architecture work and contributing to product direction.
📅 Jul 22
Build and maintain scalable Python backend systems for voice technology, integrating APIs and AI capabilities while shaping system architecture, improving speech workflows, and supporting engineering quality and team growth.
📅 Jul 8
Build and optimize Mia’s real-time voice AI pipeline, improving latency, model quality, cost, and reliability while evaluating providers and shipping new AI capabilities into production.
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