
11 - 50 employees
Founded 2021
🏥 Healthcare
💼 Consulting
🍽️ Food & Beverage
Healthcare • Consulting • Food & Beverage
mpathic is an AI-driven safety and analytics company that offers SaaS products and APIs to record, transcribe, analyze, and improve human–AI and human–human interactions in clinical, life‑science, and enterprise settings. Their offerings include speech-to-text transcription, PII redaction, behavior and checklist analytics, human-curated benchmarking datasets, red‑teaming expertise, and an Observing Agent API to add domain-informed guardrails for healthcare and medical agents. mpathic targets life sciences, clinical research organizations, healthcare providers, insurers, and HR/enterprise teams focused on empathy, safety, bias reduction, and compliance.
🔥 16 hours ago
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11 - 50 employees
Founded 2021
🏥 Healthcare
💼 Consulting
🍽️ Food & Beverage
Healthcare • Consulting • Food & Beverage
mpathic is an AI-driven safety and analytics company that offers SaaS products and APIs to record, transcribe, analyze, and improve human–AI and human–human interactions in clinical, life‑science, and enterprise settings. Their offerings include speech-to-text transcription, PII redaction, behavior and checklist analytics, human-curated benchmarking datasets, red‑teaming expertise, and an Observing Agent API to add domain-informed guardrails for healthcare and medical agents. mpathic targets life sciences, clinical research organizations, healthcare providers, insurers, and HR/enterprise teams focused on empathy, safety, bias reduction, and compliance.
• Lead execution of complex AI safety, evaluation, human data, and red teaming programs • Own end-to-end delivery from contract handoff and intake through staffing, execution, quality review, and customer sign-off • Build and coordinate project teams, including clinical and specialized subject-matter experts • Establish project plans, staffing models, timelines, communication cadences, and risk mitigation plans • Monitor project performance, utilization, throughput, quality metrics, and budget performance • Apply clinical judgment to project design, expert guidance, quality review, and escalation decisions • Manage customer expectations and delivery milestones throughout engagements • Lead internal project meetings, status reviews, and customer-facing reporting • Define quality standards and establish quality controls and QA processes • Build scalable operational systems that improve project visibility, quality, throughput, and efficiency • Translate customer requirements into executable delivery plans • Coordinate cross-functional pods across Human Data, QA, Engineering, Product, Research, Customer Success, and clinical/domain experts • Forecast capacity and support business growth with executives and functional leaders • Identify operational bottlenecks, process gaps, expansion opportunities, and systemic improvements
• MD degree required • Utah medical license or familiarity with Utah laws for practice • Medical training and clinical judgment applicable to AI safety, evaluation, and human data programs • Program management and operational capabilities • Experience managing complex services operations involving distributed teams of experts, annotators, reviewers, red teamers, contractors, and quality assurance personnel • Experience designing or managing annotation workflows, QA processes, expert-driven data programs, clinical programs, research programs, or similarly complex operations • Understanding of, or willingness to develop expertise in, AI evaluation, red teaming, and human-in-the-loop concepts • Comfort with high-stakes, sensitive subject matter including AI safety, healthcare, mental health, red teaming, and trust & safety • Ability to communicate clearly across project plans, status updates, and escalation paths • Experience delivering complex programs in operational, clinical, research, healthcare, technology, or related environments • Experience in AI safety, LLM evaluation, healthcare technology, clinical AI, or trust & safety operations is a strong plus
• Opportunity to transition to full-time based on business needs, program growth, and mutual fit
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