Suki Benefits Overview

Own Suki’s growth product strategy by defining activation, engagement, and retention metrics; analyzing funnels; building dashboards; instrumenting events; designing experiments; and translating insights into product requirements and roadmap priorities. Partner with Engineering, Data, Customer Success, Sales, and clinical stakeholders to improve clinician adoption and retention in a B2B SaaS healthcare environment.

The Senior Machine Learning Engineer will develop NLP solutions, manage datasets, optimize performance metrics, and work on ML applications for healthcare.

Build and deploy customer integrations using Suki Platform APIs and SDKs. Scope customer needs, design solutions combining dictation and generative AI capabilities, estimate timelines, deploy distributed applications across on-premises and cloud environments, and guide implementations through production. Translate technical decisions for clinical, executive, and engineering stakeholders while relaying customer feedback to internal engineering and data science teams.