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People AI & Automation Engineer

🕒 September 11

đŸ‡ș🇾 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

đŸ€– QA Automation Engineer

Where this job comes from

Posted on Deepgram's careers page, not through a job board

First seen by Remote Rocketship September 11

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Logo of Deepgram

Deepgram

51 - 200 employees

Founded 2015

đŸ’Œ Consulting

đŸ„ Healthcare

📩 Logistics

💰 $47M Series B on 2022-11

Consulting ‱ Healthcare ‱ Logistics

Deepgram is a leading voice AI company that provides powerful APIs for speech-to-text, text-to-speech, and language understanding applications. Their platform enables developers to build sophisticated voice AI solutions for use cases such as contact centers, medical transcription, conversational AI, and more. Known for unmatched accuracy, speed, and cost-effectiveness, Deepgram's technology is trusted by top enterprises and startups worldwide. By offering real-time and highly accurate transcription capabilities, Deepgram helps businesses gain insights from voice data, making it an essential tool for transforming voice interactions.

📋 Description

‱ Partner with the People & Talent Team to identify high-impact AI and automation opportunities across People Operations ‱ Build a scalable, up-to-date AI-first onboarding experience ‱ Convert manual People workflows into automated, AI-powered systems ‱ Build AI agents and workflows that answer questions, gather information, initiate processes, and complete defined actions ‱ Integrate AI systems with HRIS, Slack, recruiting, performance, compensation, and other internal systems ‱ Build internal tools and interfaces for employees, managers, and the People team ‱ Prototype quickly, test with real users, learn, and iterate ‱ Establish human-in-the-loop controls, escalation paths, permissions, and safeguards for sensitive People workflows ‱ Partner with Engineering and IT on architecture, security, access controls, and productionizing successful prototypes ‱ Measure time savings, employee-experience improvements, and quality and consistency of People Operations

🎯 Requirements

‱ Early-career engineer ‱ Comfortable adopting new AI models and modes quickly ‱ Experience integrating AI into workflows and experimenting with advanced AI capabilities ‱ Ability to build AI-powered workflows, agents, internal tools, and interfaces ‱ Knowledge of APIs and automation ‱ Ability to integrate AI systems with HRIS, Slack, recruiting, performance, compensation, and other internal systems ‱ Ability to establish human-in-the-loop controls, escalation paths, permissions, and safeguards ‱ Ability to partner on architecture, security, access controls, and productionizing prototypes ‱ Ability to work in a rapidly changing environment and learn continuously

đŸ–ïž Benefits

‱ AI-first operating environment with opportunities to actively use and experiment with advanced AI tools ‱ Opportunity to build and use AI tools in everyday work ‱ Flexible, rapidly evolving work environment rather than a highly prescriptive traditional 9-to-5 ‱ Direct partnership with the Head of People and cross-functional collaboration with People, Engineering, IT, and other functions

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