Jobs at Latent

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

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

Own and run the San Francisco workplace experience end-to-end: greet visitors, manage office operations, vendors, budgets, and events; drive culture, onboarding, and employee engagement; ensure shared spaces are ready and aligned with company values.

Manage day-to-day workplace experience at the San Francisco HQ: greet visitors, run office operations, coordinate events, manage vendors and budgets, support onboarding, and build culture and employee engagement.

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.

In this role, you'll provide high-quality support to customers, troubleshoot technical issues, document interactions, and ensure a seamless experience.

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

Manage daily office operations, support team events, and oversee vendor coordination in a growing workspace environment.

Lead Latent's event strategy and execution: own the events calendar, prioritize conferences, design booths and flagship experiences, run dinners and summits, secure speakers and customers, drive pre/live/post content and promotion, convert events into pipeline with ABM and sales coordination, and manage vendors, budgets, and logistics to deliver consistent, high-impact events.

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.

The role involves managing customer-led demand initiatives, producing case studies, launching demand-generating campaigns, and supporting customer events to enhance brand engagement and drive sales pipeline.

The Senior Product Marketing Manager will coordinate product launches, develop positioning, enhance sales narratives, manage partner co-marketing, and lead PR efforts, focusing on a cohesive market presence.

The Creative Brand Lead will oversee the visual and creative expression across campaigns, implement a new brand system, support customer demand efforts, and ensure visual consistency while leveraging AI tools to innovate creative processes.

Lead end-to-end implementations of Latent's 340B product across health systems. Manage project plans, technical integrations (EHRs, pharmacy systems, split-billing), stakeholder coordination, compliance readiness, risk mitigation, and transition to account management for go-live and stabilization.

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.