Jobs at Suki

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

As Corporate Counsel, you'll manage legal operations, streamline HR, Finance, and Legal tasks, negotiate contracts, and ensure compliance with regulations related to healthcare technology and AI.

Design, build, and operate AI agents and no-code automations to streamline RevOps workflows. Automate reporting, generate decks, manage app/agent integrations, and own hands-on operational tasks (license management, invoicing, reporting). Collaborate cross-functionally, prototype quickly, document solutions, and scale automation across Sales and CS processes.

Own net-new partner sales for the Suki Platform in EHR, telehealth, care management, and revenue cycle verticals. Build C-suite and clinical/IT relationships, qualify and close new logo opportunities, maintain pipeline and forecasts in Salesforce, collaborate with product/marketing/customer success, translate client needs into platform integrations, and travel extensively (40%–60%).

Drive technical integrations between Suki and health systems/EMRs: manage deployment plans, test and validate integrations, serve as client-facing technical SME, coordinate Engineering/Product/Customer Success, maintain documentation, report status, and improve integration processes to ensure on-time delivery and high client satisfaction.

Drive new business and expand enterprise accounts by building C-suite and clinical/IT relationships, closing deals, collaborating with Customer Success and Marketing, maintaining SFDC forecasts, and meeting/exceeding sales targets. Extensive travel (50–80%) required.

Manage a portfolio of 3-5 enterprise healthcare SaaS accounts to drive implementation, adoption, and ROI. Lead QBRs, onsite clinician training, executive relationships, and revenue expansion while coordinating EMR integrations and deployment playbooks.