Top Tech Jobs & Startup Jobs

Owns post-go-live relationships with health system customers, driving retention, adoption, measurable clinical and operational outcomes, executive business reviews, risk forecasting, and expansion into additional use cases. The role manages a named account portfolio, builds ROI cases, supports workflow change, and partners with Sales on commercial growth. It requires executive engagement with clinical, operational, and financial leaders and includes 25–40% travel.

Owns healthcare AI deployments from workflow discovery and solution design through configuration, integration, launch, adoption, and measurable impact. Maps clinical and operational workflows, determines automation opportunities, configures and tests agents using JSON, command-line tools, and version control, validates data, coordinates security and go-live activities, and builds impact dashboards. Partners with healthcare customers, executives, engineers, product managers, and clinical experts while managing complex technical and operational dependencies.

Build reliable training, evaluation, deployment, and data-feedback pipelines for a recursively self-improving machine learning system. Design reward and feedback signals, mitigate reward hacking and distribution drift, develop evaluation harnesses, debug model regressions, stabilize non-stationary learning loops, and ship production ML systems. The role requires strong Python and machine learning engineering fundamentals, reinforcement learning knowledge, production experience, and familiarity with feedback-driven systems such as RLHF, RLAIF, active learning, or agent evaluation.

Build tailored demos and prototypes for an agentic AI platform, write code and integrations, configure agent workflows, and lead technical narratives during enterprise sales cycles. Conduct discovery, design solutions, present to clinical and business stakeholders, support pilots, and communicate field insights to Product and ML teams. The role requires strong coding, consulting, presentation, storytelling, and client-facing skills in a full-time Menlo Park office environment.

Develop and deploy autonomous clinical conversation workflows, including prompt engineering, conversation logic, safety guardrails, and integrations with EHRs, scheduling systems, and telephony platforms. Analyze model outputs and user outcomes, collaborate with clinicians and engineering teams, maintain production code, and support customer go-lives. The role begins as a residency program and may progress into Forward Deployed Engineering, Engineering, or Product.

Leads the strategy, design, execution, and measurement of B2B events and executive experiences. Builds an integrated events calendar, connects programs to pipeline and revenue, develops account-based marketing personalization, manages budgets and vendors, and leads a lean team. The role oversees conferences, trade shows, executive dinners, roundtables, and Customer Advisory Boards while using AI agents and automation to scale engagement, follow-up, and event impact. Regular travel of 25% to 40% is expected.

Lead Hippocratic AI’s federal public-sector growth practice, focusing on VA and HHS relationships, partner development, opportunity qualification, capture strategy, proposal development, and account management. Build a qualified pipeline, develop teaming and pricing strategies, coordinate compliance and technical inputs, and establish GovCon infrastructure for a new vertical. The role requires close collaboration with government stakeholders, prime contractors, channel partners, and internal teams while translating healthcare AI capabilities into compelling federal value propositions.

Design and operate a GPU management and scheduling platform for approximately 30 AI models across heterogeneous hardware. Build metrics pipelines, admission control, autoscaling, cloud orchestration, infrastructure automation, deployment pipelines, and monitoring systems. Develop production software in Python and Go, operate secure fault-tolerant cloud infrastructure, enforce healthcare security and compliance policies, troubleshoot complex issues, and mentor engineers.

Lead product analytics for healthcare AI products by defining success metrics, evaluating product and program impact, building ROI and financial models, improving instrumentation, and translating complex analyses into recommendations for product strategy and roadmap decisions. The role partners with product, engineering, clinical, customer success, executives, and customers, presenting insights on adoption, operational efficiency, costs, capacity, and patient outcomes.

Lead end-to-end post-training for LLMs using reinforcement learning and on-policy distillation to improve clinical reasoning, safety, and alignment. Design RL/OPD methods, build reward models and verifiers, create healthcare conversational environments with synthetic data, automate post-training loops, run experiments, and collaborate with research, engineering, and clinical teams to deploy models at scale.