South San Francisco, CA
Generative AI for healthcare revenue cycle
AKASA builds generative AI solutions to automate complex revenue cycle workflows like coding, documentation improvement, and claims management. They serve health systems and providers across the US, covering over 650 hospitals. It reduces administrative costs, denials, and staff burnout, allowing focus on patient care.
Leads consultative enterprise sales to hospital and health system executives, owning prospecting through close for healthcare revenue cycle management solutions. Requires 5+ years of enterprise sales experience, healthcare provider relationships, strong presentation and negotiation skills, and willingness to travel up to 60%.
Owns flagship AI products in clinical documentation and medical coding for healthcare revenue cycle. Leads strategy, execution, and cross-functional collaboration to deliver high-impact solutions improving clinician workflows and financial integrity.
Generates, qualifies, and nurtures top-of-funnel opportunities through outbound prospecting, inbound lead follow-up, and event engagement. Requires a bachelor’s degree, at least one year of client-facing sales or business development experience, and strong communication skills.
Leads AKASA’s healthcare compliance and AI governance programs, owning HITRUST, SOC 2, HIPAA, audit readiness, policy management, and customer trust activities. The role requires 8+ years in security compliance, GRC, or risk management and hands-on experience with automation and emerging AI governance frameworks.
Delivers and supports client deployments of healthcare ML solutions, including integrations, production stability, and LLM evaluation frameworks. Requires a bachelor's degree, 3+ years of Python experience, and familiarity with databases, APIs, and ETL pipelines.
Sr. Technical Program Manager responsible for managing the full SDLC of AI healthcare products, from timelines and specs to deployment and UAT. Requires strong technical background, Jira expertise, cross-functional communication, and experience driving complex projects in a startup environment.
Own end-to-end QA, testing, and tier-1 support for AKASA's AI healthcare revenue cycle products. Design regression suites, triage issues, define release criteria, and turn support signals into product improvements. Requires 2+ years in a hospital or clinic setting.
AKASA is seeking a Chief of Staff to partner with the COO and CEO, driving strategic and operational initiatives. This role requires strong analytical skills, business acumen, and a passion for AI to accelerate the company's growth in healthcare.
As a Senior Machine Learning Engineer, you will develop and deploy state-of-the-art ML solutions for healthcare problems, working with large medical datasets and owning ML services end-to-end. This role requires expertise in LLMs, cloud platforms, and ML frameworks.
Delivers client deployments for healthcare AI products, handling ML model lifecycle, LLM evaluations, technical onboarding, integrations, and production stability. Requires 4+ years Python, LLM evals experience, and works with client, product, R&D teams.
Builds and scales reliable infrastructure for SaaS applications using Kubernetes, Terraform, and GitHub CI/CD. Focuses on observability with Grafana/Prometheus, automation to reduce toil, production troubleshooting, and cross-team collaboration. Requires 5+ years Python experience.
Build and maintain backend services, APIs, and tools for AI-powered clinical documentation and medical coding SaaS products. Requires 5+ years experience with Python, ML pipelines, containerization, and healthcare data standards.