Notable is the leading healthcare AI platform for transforming workforce productivity. Health systems, hospitals, and payers use Notable to improve healthcare quality, close gaps in patient care, drive member enrollment, and patient acquisition, retention, and reimbursement, scaling growth without hiring more staff.
We are on a mission to improve the lives of patients, staff, and clinicians - to improve healthcare for humanity. This isn't just a lofty goal - it's something we're achieving every single day. When you join Notable, you become part of a force actively transforming healthcare. Our aim to impact 100 million patients isn't just a number; it's a commitment to creating meaningful change on a massive scale.
Therefore, our culture is purposeful in pursuit of this mission. We believe our culture gives each person the opportunity to do the best work of their lives, work with the best teammates, and have fun achieving great things together.
As a Forward Deployed Engineer, you will partner directly with customers to understand their biggest challenges and rapidly design, implement, and integrate technical solutions that drive real impact. This role blends problem-solving, creativity, and hands-on engineering as you help deploy products and workflows in live environments. You’ll gain unique exposure to critical industries and institutions across the country and play a key role in shaping how they operate and innovate.
Our ideal candidate is technically curious, an excellent communicator, and deeply committed to customer success. They thrive in collaborative environments working seamlessly with both technical and non-technical partners and are comfortable operating in a fast-moving setting with evolving goals and continuous user feedback.
Technical Solution Design & Architecture: Leverage engineering expertise to design scalable AI workflows for clinical and operational use cases. You will produce professional-grade systems and data-flow diagrams to define interfaces, failure modes, and integration points with EHRs and legacy systems.
Build & Deploy AI Agents: You will get hands-on to configure and deploy Large Language Model (LLM) powered workflows. This involves applying advanced prompting strategies, building agentic workflows, and tuning vector stores for quality, latency, and cost.
Security & Compliance Assurance: Perform technical validation of AI algorithm outputs and ensure strict adherence to HIPAA/SOC 2 controls. You will establish guardrails (audit trails, least-privilege access) to ensure safe clinical deployment.
Execute & Operationalize: Independently manage technical implementation plans, defining scope and setting expectations with customers. You will drive "scrappy-but-safe" prototypes into production and facilitate the transition to steady-state ownership alongside Customer Success teams.
Stakeholder Engagement: Serve as the technical voice in customer meetings, translating complex platform capabilities into clear value propositions for executives and non-technical stakeholders.
Drive Product Improvement: Provide input to internal cross-functional teams on platform gaps, identifying which capabilities are harder to deploy and helping to widen the competitive advantage.
You Thrive on Technical Challenges: You are a builder who enjoys pushing the boundaries of AI innovation and are comfortable digging deep into areas you are unfamiliar with to make it happen.
You Obsess Over Outcomes: You demonstrate strong product intuition, understanding that the goal is not just software delivery, but tangible ROI and improved outcomes for patients and providers.
You Bridge the Gap: You enjoy operating at the intersection of technical execution and strategic vision, inspiring innovation in the partners and leaders you build with.
You have an Entrepreneurial Mindset: You look at yourself as an owner who likes to build and solve challenges others have yet to master, thriving in an autonomous, high-performance environment.
5+ years of experience in Forward Deployed, Solutions, or Implementation Engineering roles with significant client-facing responsibility.
Proficiency in TypeScript/Node.js for backend development and scripting. Experience with APIs (REST, gRPC), event-driven architectures, and cloud infrastructure (AWS/GCP/Azure).
Practical experience building with LLMs, including prompting, RAG, vector databases, and evaluation frameworks.
Familiarity with healthcare data standards (HL7, FHIR, C-CDA) and workflows (Revenue Cycle, Access) is preferred.
Ability to communicate technical concepts to a variety of audiences, from technical/IT teams to operational executives.
This role offers a blend of in-office collaboration and travel. You’ll spend about 50% of your time meeting with customers and teams on-site, and we ask that you join us in the office three days a week to stay connected and work closely with your teammates.
#LI-TD1
We value in-person collaboration and connection. For Bay Area–based employees, this role requires being in our San Mateo office at least three days a week. For remote employees, occasional travel to headquarters is expected for company-wide events and onsite gatherings.
Beware of job scam fraudsters! Our recruiters use @notablehealth.com email addresses exclusively. We do not conduct interviews via text or instant message, to purchase equipment through us, or to provide sensitive personally identifiable information such as bank account or social security numbers. If you have been contacted by someone claiming to be me from a different domain about a job offer, please report it as potential job fraud to law enforcement and contact us here.
If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.
Founding full-stack engineer needed in San Francisco to architect and build an AI-first workflow automation platform using TypeScript, React, and modern deployment infrastructure.
Lead the development and operation of integrated simulation and V&V infrastructures to validate autonomy, mission systems, and airborne software for high-speed aircraft programs at Hermeus.
Contribute to Arbital Health's product by building full-stack features and data pipelines using React, Next.js, TypeScript, and Python while collaborating with product, design, and actuarial partners.
Drive the design and scaling of multi-cloud compute systems as a Principal Software Engineer, Infra to enable reliable, high-performance operations for a major online platform.
Lead the architecture and implementation of a scalable multi-agent AI platform that integrates multiple LLMs, orchestration frameworks, evaluation tooling, and search to enable sophisticated agent collaboration at ClickUp.
Mesh, a scaling crypto payments network, is hiring a Senior Backend Engineer to build secure, high-performance backend services and APIs using cloud-native practices.
Lead Marqeta's developer experience strategy and delivery, building tools, metrics, and workflows that significantly boost engineering productivity and satisfaction.
Lead the backend architecture and implementation of Mesh's global crypto payments network, driving technical strategy, reliability, and security across services.
NVIDIA is hiring a New Grad DGX Cloud Performance Engineer to analyze, model, and optimize large-scale distributed AI systems and influence cluster architecture and HW–SW co-design.
Lead architecture and data modeling as a hands-on Senior Technology Lead on a high-volume telehealth and e-commerce Rails platform operating fully remote on EST hours.
Lead mobile engineering for a fast-growing sports tech company, building and scaling iOS and Android apps while driving generative AI innovations.
Lead backend development at Pickle to design and scale services, APIs, and infrastructure that power a fast-growing peer-to-peer fashion rental marketplace in NYC.
Lead the design and delivery of Quizlet’s external API platform and LearnOS plugin architecture to enable secure, extensible partner integrations and agentic workflows.