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Suki
Bengaluru
Source: Suki careers · View original posting
From Suki's posting. “We” and “our” refer to the employer.
Suki is a leading technology company that provides AI voice solutions for healthcare. Its mission is to reimagine the healthcare technology stack, making it invisible and assistive to lift the administrative burden from clinicians. Its flagship product is Suki Assistant, an AI assistant that uses generative AI to automatically create clinical documentation by ambiently listening to patient-clinician conversations.
Suki helps clinicians complete notes 72% faster on average, assists with other tasks including coding and answering questions, and generates incremental revenue for organizations, delivering a 9X ROI in year 1. Suki also offers its proprietary AI and speech platform, Suki Platform, to partners who want to create best-in-class ambient and voice experiences for their solutions. Clinicians that use Suki already spend over 70% less time on administrative tasks, and we’re striving to do even better. Come and join us!
We are a user-driven company and are committed to making sure every pixel of our product is in service of the doctors. We’re a team of technologists, clinicians, and industry experts working together to push the limits on technology used in medicine. We’re confident enough to move fast and talented enough not to break things.
We're growing our Engineering Operations function and looking for a Technical Program Manager to embed directly in an engineering pod and make execution predictable, measurable, and fast. You'll own your pod's day-to-day execution, give leadership an accurate picture of where things stand, and help scale the operating model that makes execution repeatable across the engineering organization. A hands-on role for someone who likes both running the machine and improving how it runs.
Applied clinical AI fluency
— work at the center of an ACI platform spanning ASR, NLP, LLMs, and deep EHR integration, and learn how a real production AI system ships.
Systems-level judgment
— build a rare, end-to-end mental model of how complex software gets built, from spec to production, across Product, Engineering, ML, and QA.
Data and metrics craft
— own the instrumentation and dashboards leadership runs on.
Process architecture
— help design the operating model that scales across the org, not just run an existing playbook.
Executive-grade influence
— regular exposure to senior leadership and the reps to turn ambiguity into decision-ready narratives.
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