Knowtex

About Knowtex Knowtex is building the future of voice AI operating systems for clinicians, transforming how healthcare documentation happens at the point of care. Founded by Stanford AI scientists with deep clinical experience, we're experiencing explosive growth across both commercial health systems and federal healthcare, with our ambient documentation platform scaling rapidly to thousands of clinicians across hundreds of specialties. We're at an inflection point where cutting-edge AI meets real clinical impact, giving clinicians hours back each day to focus on what matters most - their patients. Position Overview We are seeking an Applied ML Engineer to productionize and scale machine learning systems powering our voice AI platform. This role bridges research and engineering — transforming models into reliable, low-latency, production-grade systems deployed across enterprise healthcare environments. You will work closely with ML Scientists, Backend Engineers, and Platform teams to optimize inference performance, build evaluation pipelines, and ensure robust model deployment in regulated environments. Key Responsibilities Productionize ML models for real-time clinical applications Optimize inference pipelines for low latency and high throughput Deploy and scale models using AWS-based infrastructure Build automated evaluation and regression testing frameworks for LLM outputs Implement monitoring systems for model performance and drift detection Collaborate with Backend teams to integrate ML services into APIs and workflows Improve model efficiency through quantization, batching, caching, and optimization techniques Support specialty-level model evaluation and performance analysis Contribute to CI/CD workflows for ML deployment Required Qualifications 3–7+ years of experience in machine learning engineering or applied ML roles Strong proficiency in Python and PyTorch (or TensorFlow) Experience deploying ML models in production environments Familiarity with transformer architectures and large language models Experience with model optimization techniques (quantization, distillation, pruning) Experience working with cloud infrastructure (AWS preferred) Strong software engineering fundamentals and debugging skills Preferred Qualifications Experience with speech recognition systems or NLP pipelines Experience with Triton Inference Server or similar deployment frameworks Familiarity with healthcare data or clinical documentation workflows Experience working in regulated environments (HIPAA, GovCloud, etc.) Knowledge of medical coding systems (ICD-10, CPT) Technical Environment Python, PyTorch / TensorFlow Transformer-based LLM architectures AWS (SageMaker, ECS, Lambda, S3) Triton Inference Server CI/CD pipelines for ML deployment Observability tools for performance and drift monitoring Compensation & Benefits Meaningful equity compensation Unlimited PTO Premium health, dental, and vision coverage 401(k) plan

About Knowtex Knowtex is building the future of voice AI operating systems for clinicians, transforming how healthcare documentation happens at the point of care. Founded by Stanford AI scientists with deep clinical experience, we're experiencing explosive growth across both commercial health systems and federal healthcare, with our ambient documentation platform scaling rapidly to thousands of clinicians across hundreds of specialties. We're at an inflection point where cutting-edge AI meets real clinical impact, giving clinicians hours back each day to focus on what matters most - their patients. Position Overview We are seeking a Backend Engineer to design, build, and scale the core infrastructure powering Knowtex’s AI-driven clinical documentation platform. You will work closely with Applied ML, Integrations, and Frontend teams to develop reliable, secure, and high-performance backend systems that support real-time voice AI workflows across enterprise healthcare environments. This role is critical to ensuring scalability, reliability, and compliance as we expand across commercial and federal healthcare systems. Key Responsibilities Design and implement scalable backend services and APIs Build and maintain microservices supporting AI-driven clinical workflows Develop and optimize data pipelines for real-time processing Collaborate with ML engineers to productionize model inference systems Design secure, compliant data architectures (HIPAA-aware systems) Improve system reliability, observability, and performance Participate in architecture reviews and technical design discussions Contribute to CI/CD pipelines and deployment automation Support integration efforts with EHR systems and third-party platforms Required Qualifications 3–6+ years of experience in backend software engineering Prior experience working with AWS Strong proficiency in Python or similar backend languages Experience designing and building RESTful APIs Experience working with relational and/or NoSQL databases Understanding of distributed systems and scalability concepts Strong debugging and problem-solving skills Preferred Qualifications Experience in healthcare technology or regulated environments Experience working with ML-enabled systems or model inference APIs In-depth knowledge of AWS services (Lambda, ECS, S3, RDS, DynamoDB, etc.) Experience integrating with third-party APIs or EHR systems Knowledge of CI/CD pipelines and infrastructure-as-code tools Technical Environment Python-based backend services AWS cloud infrastructure (including GovCloud environments) ML-enabled application platforms CI/CD pipelines and containerized services Observability tools (CloudWatch, Sentry) Compensation & Benefits Meaningful equity compensation Unlimited PTO Premium health, dental, and vision coverage 401(k) plan

Founding Account Manager Knowtex • In-Person/Hybrid (San Francisco) Reports To: Director of Customer Delivery Travel: Customer sites, conferences, team meetings About Knowtex Knowtex is building the clinical AI infrastructure layer for intelligent care— turning the burden of manual workflows like notes, coding, order entry into a seamless background process, and providing real-time decision support so clinicians can focus on what matters: delivering superior patient care. We work with health systems, specialty practices, and ambulatory groups who are done waiting for EHR vendors to solve AI. Position Overview The Founding Account Manager is a pivotal commercial and relationship role responsible for the long-term success, growth, and retention of Knowtex’s commercial health system accounts. Sitting within the Customer Delivery organization, this role bridges the gap between clinical delivery excellence and revenue outcomes—owning the full account lifecycle from implementation launch through expansion and renewal. You will serve as the primary executive-level relationship owner for a portfolio of commercial health system clients, partnering closely with the Implementation Manager, Clinical Implementation Specialist, and Support Manager to ensure customers achieve measurable value. You’ll be as comfortable discussing clinical workflow adoption metrics as you are negotiating contract expansions with C-suite stakeholders. This role is ideal for a commercially-minded relationship builder with deep healthcare IT experience who thrives in high-growth startup environments and genuinely cares about the mission of reducing clinician burnout. Key Responsibilities Client Relationship Management: Serve as the primary executive relationship owner for a portfolio of commercial health system accounts. Build trusted, consultative relationships with key stakeholders at every level—from Site POCs and clinical champions to CMOs, CNOs, and CFOs Account Health & Retention: Monitor account health indicators continuously, including utilization rates, adoption trends, satisfaction scores, and support ticket patterns. Own renewal conversations end-to-end, and maintain a ≥90% net revenue retention target across managed portfolio. Revenue Growth & Upselling: Identify and develop expansion opportunities within existing accounts, including additional clinical departments, specialties, user cohorts, and enterprise-wide rollouts. Lead commercial conversations with economic buyers, presenting ROI data, clinical outcomes, and utilization metrics. Implementation Partnership & Launch Success: Co-develop comprehensive implementation plans with the Implementation Manager for each new account, ensuring alignment between commercial commitments and operational execution. Own 30/60/90-day post-launch check-ins with account executive sponsors, reporting on adoption progress and early outcomes. Account Performance Monitoring & Intervention: Maintain real-time visibility into key adoption and utilization metrics across all accounts using site health dashboards. Analyze performance trends at the account, department, and user cohort level. Identify and lead account recovery efforts for at-risk relationships, serving as executive point of accountability. Communication & Feedback Loop Management: Serve as the primary conduit for strategic account intelligence flowing between customers and internal Knowtex teams. Translate client feedback, feature requests, and clinical workflow insights into structured, actionable input for Product, Engineering, Customer Delivery, and leadership. Ensure clients are informed of product updates, platform improvements, and new capabilities in a timely and compelling way Required Qualifications Experience 5-7 years in account management, customer success, or commercial roles within healthcare IT or health technology Demonstrated track record of managing and growing a portfolio of commercial health system accounts Experience ow

Founding Technical Product Manager Knowtex • In-Person/Hybrid (San Francisco) About Knowtex Knowtex is building the clinical intelligence platform for clinicians, transforming the way medicine is practiced, and how patient care is completed. Founded by Stanford AI scientists with deep federal, clinical, and technical experience, we’re experiencing explosive growth across both commercial health systems and government healthcare. Our ambient documentation platform scales to thousands of clinicians across hundreds of specialties, and we’re serving clinicians across the country. We’re at an inflection point where cutting-edge AI meets real clinical impact—giving clinicians hours back each day to focus on what matters most: their patients. Position Overview Knowtex is hiring a founding Technical Product Manager to own critical product areas at the intersection of AI, clinical workflows, and healthcare infrastructure. These roles require strong technical depth, the ability to work directly with clinicians and healthcare administrators to understand complex workflows, and the skill to translate those insights into clear engineering requirements and product strategy. Key Responsibilities Define product roadmap, prioritize features, and drive execution for your product area Conduct discovery with clinicians, healthcare administrators, and IT leaders to deeply understand clinical workflows and pain points Translate complex clinical and operational requirements into clear engineering specs, user stories, and acceptance criteria Partner closely with engineering, AI/ML, and design teams to ship high-quality products on tight timelines Own product metrics, conduct data analysis, and use quantitative and qualitative signals to drive decisions Manage cross-functional stakeholders including clinical operations, compliance, sales, and customer success Evaluate build vs. buy vs. partner decisions for integrations and capabilities Communicate product vision and progress to leadership, customers, and external partners Required Qualifications 2+ years of product management experience with a strong technical foundation Ability to read and reason about code, APIs, data models, and system architecture Experience working directly with clinicians, healthcare administrators, or clinical operations teams Demonstrated ability to distill ambiguous, complex stakeholder needs into actionable engineering requirements Strong analytical skills—comfortable with SQL, product analytics tools, and data-driven decision making Excellent written and verbal communication; ability to present to both technical and non-technical audiences Experience working in fast-paced startup environments with high ownership and autonomy Bachelor’s degree in Computer Science, Engineering, or a related technical field (or equivalent experience) Preferred Qualifications _ Government & Federal Healthcare: _ Experience with federal healthcare (VA, DoD, MHS) or government contracting Familiarity with FedRAMP, ATO processes, IL4/IL5 compliance, or FISMA Experience managing enterprise-scale onboarding and change management programs Understanding of federal procurement processes and stakeholder dynamics _ Clinical Automation: _ Experience with EMR/EHR platforms (Epic, Cerner, OncoEMR) or healthcare interoperability standards (FHIR, HL7) Background in clinical documentation, medical coding (CPT, ICD-10), or revenue cycle management Experience with NLP/AI products, particularly in accuracy measurement and hallucination reduction Understanding of clinical workflow design across medical specialties _ Clinical Intelligence: _ Experience with clinical decision support, clinical trial matching, or evidence-based guidelines (NCCN, ASCO) Background in health informatics, biomedical data, or life sciences technology Experience building AI/ML-powered products, chatbots, or knowledge retrieval systems Familiarity with regulatory considerations

About Knowtex Knowtex is building the future of voice AI operating systems for clinicians, transforming how healthcare documentation happens at the point of care. Founded by Stanford AI scientists with deep clinical experience, we're experiencing explosive growth across both commercial health systems and federal healthcare, with our ambient documentation platform scaling rapidly to thousands of clinicians across hundreds of specialties. We're at an inflection point where cutting-edge AI meets real clinical impact, giving clinicians hours back each day to focus on what matters most - their patients. Position Overview We are seeking an ML Scientist (Research) to advance Knowtex’s voice AI and clinical NLP capabilities at the frontier of healthcare AI. This role focuses on developing and evaluating novel machine learning approaches for medical speech recognition, clinical language understanding, and agentic AI systems tailored for healthcare environments. You will work on research-driven initiatives that directly impact our ambient documentation platform, collaborating closely with applied ML and engineering teams to transition validated research into scalable production systems. This role reports to the CTO and plays a central part in defining the next generation of clinical AI infrastructure. Key Responsibilities Develop and optimize models for medical speech recognition across 200+ specialties Research and implement clinical NLP pipelines for automated E&M coding and ICD-10 classification Design and evaluate note quality scoring systems using LLMs and structured clinical rubrics Create specialty-specific language models (e.g., gastroenterology, dermatology, emerging markets) Design and prototype agentic AI systems for clinical decision support and documentation assistance Optimize models for real-time inference with sub-200ms latency requirements Build rigorous evaluation frameworks for clinical accuracy, MDM validation, and MIPS quality measure compliance Collaborate with clinical experts to validate outputs and ensure alignment with regulatory and documentation standards Transition research findings into production-ready solutions in partnership with applied ML and platform engineering teams Required Qualifications 5+ years of experience in machine learning research or ML engineering with a focus on NLP and/or speech recognition Strong expertise in PyTorch or TensorFlow Deep experience with transformer architectures and large language models Proven ability to design and build production-grade ML pipelines at scale Strong understanding of model optimization techniques (quantization, distillation, pruning) Experience working with cloud ML platforms (AWS SageMaker, GCP Vertex AI, or equivalent) Master’s or PhD in Computer Science, Machine Learning, or related field Preferred Qualifications Experience in healthcare AI or clinical NLP Familiarity with medical terminology and clinical documentation workflows Experience with speech recognition systems (Whisper, Conformer architectures, etc.) Knowledge of medical coding systems (CPT, ICD-10, SNOMED) Publications in leading ML/NLP conferences Experience deploying models in regulated environments (e.g., GovCloud, HIPAA-compliant systems) Technical Environment Python, PyTorch, TensorFlow Transformer-based LLM architectures Triton Inference Server (AWS GovCloud deployments) AWS (SageMaker, EKS, S3, Lambda) Real-time inference systems with strict latency constraints (<200ms) Clinical data pipelines and structured evaluation frameworks Compensation & Benefits Meaningful equity compensation Unlimited PTO Premium health, dental, and vision coverage 401(k) plan

About Knowtex Knowtex is building the future of voice AI operating systems for clinicians, transforming how healthcare documentation happens at the point of care. Founded by Stanford AI scientists with deep clinical experience, we're experiencing explosive growth across both commercial health systems and federal healthcare, with our ambient documentation platform scaling rapidly to thousands of clinicians across hundreds of specialties. We're at an inflection point where cutting-edge AI meets real clinical impact, giving clinicians hours back each day to focus on what matters most - their patients. Position Overview We are seeking a Mobile Developer to help build and scale clinician-facing mobile applications that extend Knowtex’s ambient documentation platform into real-world care environments. This role focuses on delivering performant, intuitive mobile experiences that integrate seamlessly with our AI-powered backend systems. Key Responsibilities Develop and maintain iOS and/or Android mobile applications Integrate mobile clients with backend APIs and real-time AI services Optimize performance, reliability, and offline capabilities Collaborate with frontend and backend engineers on API design Implement secure authentication and HIPAA-compliant data handling Participate in release cycles and app store deployment processes Required Qualifications 3–6+ years of mobile development experience Experience with Swift, Kotlin, React Native, or Flutter Strong understanding of API integration and mobile networking Experience with mobile performance optimization Familiarity with secure mobile app architecture Preferred Qualifications Experience in healthcare applications Experience integrating AI-driven features in mobile apps Experience building enterprise-grade mobile apps Technical Environment Swift / Kotlin / React Native / Flutter RESTful APIs AWS backend services OAuth2 / secure authentication flows Compensation & Benefits Meaningful equity compensation Unlimited PTO Premium health, dental, and vision coverage 401(k) plan

Position Overview We are seeking a frontend-leaning engineer to help build and scale the user-facing web applications powering Knowtex’s AI-driven clinical documentation platform. You will work closely with Platform Engineering and customer-facing teams to build accessible, intuitive, and performant user experiences that support real-time voice AI workflows across enterprise healthcare environments. This role is ideal for an engineer who has experience operating on small, high-impact teams with significant ownership and autonomy, including end-to-end execution on critical product features. Key Responsibilities Exercise strong engineering judgement in evolving or breaking from existing patterns when appropriate Design and build user experiences, including complex audio-centric workflows Develop accessible, intuitive, and performant user interfaces Develop secure and performant APIs and supporting infrastructure for web and mobile applications Collaborate closely with engineering, product, and customer delivery teams to prioritize bug fixes, improvements, and new feature development Participate meaningfully in technical discussions, design reviews, and code reviews Contribute to shared application infrastructure, component library, design system, and developer experience Improve system reliability, observability, and performance Handle engineering escalations from customer-facing teams during on-call shifts, including investigating issues outside of your typical areas of responsibility Required Qualifications 3+ years of experience building production web applications Strong proficiency in TypeScript Experience building applications with React and Node.js Experience designing and building RESTful APIs Experience working with relational and/or NoSQL databases Understanding of distributed systems and scalability concepts Strong debugging, communication, and problem-solving skills Preferred Qualifications Experience in healthcare technology or regulated environments Experience building real-time or highly interactive web applications Experience operating effectively with limited product design support Familiarity with AWS services such as Lambda, ECS, S3, RDS, and DynamoDB Technical Environment React, TypeScript, Node.js, and Python (Lambda) AWS cloud infrastructure (including GovCloud environments) AI-enabled application platforms CI/CD pipelines and containerized services Observability and analytics tools (Amplitude, Sentry) Compensation & Benefits Meaningful equity compensation Unlimited PTO Premium health, dental, and vision coverage 401(k) plan