
51 - 200 employees
Founded 2018
đ€ Artificial Intelligence
đ Pharmaceuticals
âïž Healthcare Insurance
Artificial Intelligence âą Pharmaceuticals âą Healthcare Insurance
<Authenticx> Authenticx is a healthcare-focused AI company that transforms patient and customer conversations into actionable insights. Their SaaS platform uses specialized, healthcare-labeled generative AI and conversation analytics to transcribe, summarize, and surface trends from call center and patient touchpoint data to improve patient safety, quality, compliance, and operational performance. Authenticx serves life sciences, pharmaceutical, provider, and payer organizations, offering integrations, consultative support, and real-time monitoring to drive therapy adherence, reduce friction, and accelerate issue resolution.
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51 - 200 employees
Founded 2018
đ€ Artificial Intelligence
đ Pharmaceuticals
âïž Healthcare Insurance
Artificial Intelligence âą Pharmaceuticals âą Healthcare Insurance
<Authenticx> Authenticx is a healthcare-focused AI company that transforms patient and customer conversations into actionable insights. Their SaaS platform uses specialized, healthcare-labeled generative AI and conversation analytics to transcribe, summarize, and surface trends from call center and patient touchpoint data to improve patient safety, quality, compliance, and operational performance. Authenticx serves life sciences, pharmaceutical, provider, and payer organizations, offering integrations, consultative support, and real-time monitoring to drive therapy adherence, reduce friction, and accelerate issue resolution.
âą Directly manage a team of analysts, including hiring, onboarding, performance reviews, career development, and day-to-day coaching âą Manage capacity, work prioritization, and timelines to meet project timelines âą Identify process improvements to increase efficiency, scalability, and reliability of labeling operations âą Develop rubrics and ground truth labeled data supporting AI model development, insights mining, and continuous improvement âą Ensure consistent application of rubrics through regular secondary reviews proactively addressing gaps while recognizing and developing high performers âą Partner with the AI and Data Science team to align labeling methodology with model development requirements while communicating progress, risks, and meaningful observations in the data âą Serve as the Subject Matter Expert (SME) to customers and cross-functional partners in Data Science, Prompt Engineering, Product, and Client success related to our model development operating procedures âą Develop and maintain expert level knowledge in how labeled conversational data connects to model development and outcomes âą Serves as an escalation point collaborating with internal teams (Support, Product, Engineering, CS) to address any customer issues, ensuring swift and efficient resolution âą Drive innovation and cast a vision for how we evolve our rubric design, labeling methodology, and insights mining and delivery âą Foster a culture of continuous improvement with strong performance, consistency, engagement
âą 3+ years of people management experience leading analytical, labeling, or quality-focused teams âą Strong analytical thinking with the ability to identify root causes of quality or performance issues âą Excellent written and verbal communication, including translating complex methodology into clear guidance âą Proven track record in client-facing settings as a subject-matter expert âą Experience working cross-functionally with technical teams such as data science or engineering âą Demonstrated record of innovation and elevating existing teams âą Background in conversation analysis, transcription review, annotation, or structured qualitative analysis (preferred) âą Experience in healthcare, life sciences, call centers, or regulated SaaS environments is a plus (preferred)
âą This is a remote/virtual position âą For local team members, occasional on-site working (Indianapolis north side) may be expected for in-person activities âą For remote team members, traveling to Indianapolis may be required approximately 1-2x per year, based on business needs âą Travel for client meetings may be expected, based on business needs âą Candidates must reside in the USA and be authorized to legally work in the USA without requiring employment visa sponsorship now or in the future
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