Jobs at Latent

Design and own the product development process for clinical AI software, creating intuitive workflows for healthcare systems and collaborating with engineering and product teams.

The Product Manager will define product strategy, collaborate across teams to address healthcare challenges, and ensure successful product outcomes through metrics and customer feedback.

This role involves sourcing top technical talent, engaging with candidates, collaborating with recruiters, and tracking engagement metrics for software engineers.

The Senior People Operations Generalist will manage HR operations, including benefits, onboarding, compliance, and employee relations at Latent, fostering a positive employee experience.

The Software Engineer will design and build backend systems and data pipelines for healthcare, integrate AI models, and ensure end-to-end feature delivery.

The Business Recruiter will own full-cycle recruiting for GTM roles, collaborate with leadership, enhance candidate experience, and ensure alignment with company growth goals.

The Frontend Engineer will develop and architect the user interface and frontend architecture of a new AI-enabled clinical system, focusing on UX architecture and intuitive design to enhance patient care.

As a Site Reliability Engineer, you will manage the production environment, focusing on infrastructure design, automation, and optimizing deployment pipelines to ensure high availability.

As a Sales Development Representative, you will research and engage prospective health system customers, generate pipeline through outbound prospecting, and collaborate with Enterprise AEs to advance opportunities.

As a Recruiting Coordinator, you'll manage the candidate experience, coordinate interviews, communicate with candidates, and improve recruiting processes.

Own full enterprise sales cycle into health systems, build C-suite relationships, close and expand high‑value contracts, navigate complex procurement, and consistently meet seven‑figure quota targets while collaborating with product, engineering, and account teams.

As a Machine Learning Engineer, you'll own the design, development, and operation of production-grade ML systems in clinical workflows, ensuring model accuracy, reliability, and integration into patient-facing applications.

The Research Scientist will design and develop innovative machine learning models to improve clinical intelligence, driving research from concept to validated results while collaborating with clinicians and engineers.