Jobs at AKASA

Generate and qualify top-of-funnel opportunities through outbound prospecting and inbound lead follow-up. Schedule initial commercial meetings, maintain Salesforce records, coordinate with marketing and sales, attend select industry events, and surface operational issues to help advance pipeline and support revenue growth.

Own end-to-end QA and product operations for one or more product areas: design and maintain regression suites, triage support issues, define go/no-go release criteria, monitor support metrics, and route high-impact incidents to PMs and engineers.

As a Sr. Software Engineer, Backend, you will develop AI-powered solutions for clinical documentation and medical coding, collaborating with cross-functional teams to enhance SaaS products and deliver actionable insights for healthcare organizations.

Deploy and maintain ML/LLM models for healthcare revenue cycle clients: handle implementation from requirements through rollout and production support, run LLM evaluation frameworks, integrate data pipelines and databases, and collaborate with client engagement, product, and R&D teams to improve platform performance.

As a Client Solutions Software Engineer, you will implement, support and optimize ML model deployments for healthcare revenue cycles while collaborating with various teams on technical integrations and product improvements.

The Chief of Staff will support the COO and CEO, drive strategic initiatives, ensure operational alignment, and facilitate decision-making in the fast-paced AI healthcare space.

Sell AKASA's AI-native revenue cycle management solutions to health systems. Build C-level relationships, drive business development, lead full sales cycle from prospecting to close, deliver consultative presentations, work with BDRs, attend industry events, and collaborate cross-functionally. Travel domestically up to 60%.

The Sr. Machine Learning Engineer will develop and deploy ML solutions for healthcare, manage data pipelines, and work with large datasets to enhance healthcare delivery.