K

Knowtex

NLP-powered SaaS automating clinical workflows

Technical Product Manager

Full-TimeUpdated on 10/23/2026
$120k - $180k/yr+ Equity
Mid
Bachelor's
San Francisco, CA, USA
HybridHybrid in San Francisco; in office 3 days a week. Occasional customer site visits a few times a year.
ProductProduct Management
No H1B Sponsorship

About the job

Requirements
  • Have 3 or more years of experience as a Product Manager or Technical Product Manager shipping B2B SaaS, ideally including an iOS or Android mobile app in production.
  • Have shipped products end to end and be able to describe personal contributions.
  • Have broad experience across a product rather than in a single narrow feature area.
  • Be able to read code, scope APIs and integrations, and work directly with engineers.
  • Be comfortable discussing architecture and data flows and writing specifications engineers can build from directly.
  • Have daily hands-on experience using AI coding and design tools to prototype quickly.
  • Have hands-on product analytics experience defining event taxonomies, building dashboards in Amplitude or Mixpanel or Heap, and writing SQL.
  • Have owned metrics and be able to identify specific metrics improved.
  • Use data proactively when making decisions.
  • Write specifications, release notes, and customer-facing product updates effectively.
  • Communicate clearly and concisely with engineers, clinicians, customers, and leadership.
  • Take ownership, work effectively with ambiguity, and own outcomes without detailed direction.
  • Be comfortable working in a fast-moving startup environment.
  • Show curiosity about clinicians and healthcare workflows and motivation to reduce clinician burnout.
  • Have a track record of taking on work beyond the job description, such as setting up analytics or writing launch copy.
Responsibilities
  • Own the roadmap and execution for projects across the Knowtex application, including clinical intelligence, web and mobile applications, and backend.
  • Write clear specifications engineers can build from and manage delivery from scoping through release.
  • Run engineering standups and syncs, triage tickets, and maintain priorities as new information emerges.
  • Review builds and quality-assure releases, especially mobile releases, before they reach clinicians.
  • Define and instrument product metrics and build the analytics foundation, including event taxonomy, tracking, and dashboards.
  • Establish adoption and usage reporting in Amplitude across clinical intelligence, the application, and backend.
  • Track and report core key performance indicators, including adoption, active usage, note completion, and retention, and use them to guide roadmap decisions.
  • Write SQL and investigate product data directly.
  • Use AI coding and design tools, including Claude Code, Cursor, Codex, Figma, and Claude Design, to prototype ideas and test them before committing engineering time.
  • Gather clinician feedback through customer site visits and user research, and turn findings into prioritized backlog items.
  • Bring working prototypes to product discussions.
  • Partner on product launches, including launch plans, positioning, and go-to-market timing.
  • Write release notes and customer-facing product updates.
  • Build sales and customer enablement materials to prepare Customer Delivery and Implementation before rollouts.
  • Contribute to case studies and content demonstrating product impact.
  • Work with Customer Delivery, Implementation, and leadership to connect clinicians' experiences with product development.
  • Communicate product decisions in writing, from one-page specifications to company-wide updates.
Desired Qualifications
  • Healthcare or health technology experience, including EHR integrations, clinical workflows, or HIPAA.
  • Product marketing experience, including launch plans, positioning, sales enablement, or case studies.
  • Exposure to regulated or federal environments, including FedRAMP, VA, or Section 508/WCAG.
  • Experience conducting user research or UX studies with clinicians or other professional end users.
  • A coding background or a Computer Science degree.

About the company

K

Knowtex

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Website

Knowtex.ai provides AI-driven healthcare technology that automates clinical workflows for doctors and medical institutions. Its main product uses natural language processing to turn medical conversations into actionable data, reducing administrative tasks so clinicians can focus more on patient care. The service is offered as a subscription-based SaaS, with strong encryption and HIPAA-compliant data handling to ensure security and privacy. By automating routine tasks, Knowtex.ai aims to boost providers’ efficiency, allow them to see more patients, and generate higher revenue, making the platform self-sustaining.

Company Size

11-50

Company Stage

Seed

Total Funding

$260K

Headquarters

San Francisco, California

Founded

2022

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Simplify Jobs

Simplify's Take

What believers are saying

  • Knowtex reported 10x 2026 revenue growth and cash-flow positive operations on September 15, 2026.
  • The September 18, 2026 VA contract covers $775.72 million across five years.
  • By September 2026, 7,000 clinicians saved 450,000 documentation hours across 79 VA medical centers.

What critics are saying

  • VA concentration is extreme: one federal buyer can dominate revenue by 2027.
  • Abridge and Rise8 control adjacent VA rollout layers, compressing Knowtex pricing power.
  • A single procurement or security failure at VA would cripple credibility with hospitals.

What makes Knowtex unique

  • VA chose Knowtex in September 2026 as one of two prime ambient-scribe awardees.
  • Knowtex integrates notes, coding, orders, and EHR workflows across 200+ specialties.
  • Stanford AI founders built for specialty-specific, cloud-native clinical automation, not generic dictation.

Help us improve and share your feedback! Did you find this helpful?

Benefits

  • Health Insurance
  • Dental Insurance
  • Vision Insurance
  • Company Equity
  • Unlimited Paid Time Off
  • 401(k) Retirement Plan

Growth & Insights and Company News

6 month growth

-4%

1 year growth

-11%

2 year growth

0%
Associated Press
Sep 25th, 2026
VA awards Knowtex prime position on $776M ambient scribe contract

Knowtex, a frontier AI lab for healthcare, has been named a prime awardee on the US Department of Veterans Affairs' Ambient Scribe Enterprise contract. The multiple-award contract has a five-year ordering period and a shared maximum ceiling of $775.72 million across all awardees. Knowtex is one of only two companies selected as prime awardees. The company will provide cloud-based ambient scribe solutions that capture clinical encounters and generate draft notes for VA's electronic health record systems. Knowtex has been working with the VA since 2024 and is currently deployed in 79 VA medical centres and more than 310 total VA facilities. More than 7,000 VA clinicians use the platform, which has helped save over 450,000 hours of documentation time. The company was founded by Stanford AI scientists Caroline Zhang and Jocelyn Kang.

G2X
Sep 24th, 2026
Top 10 vendor profiles: September 24, 2026.

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The report focuses on redesigning workflows, decisions, and operating models so that AI becomes part of how an enterprise works, rather than another disconnected tool. Booz Allen Hamilton develops and deploys technology for defense, intelligence, and civilian missions, with work spanning AI, cybersecurity, engineering, and operational systems. Its current portfolio connects technical development with the conditions in which government customers must use those capabilities. The company's Cyber Weapon Index measures how frontier AI models perform across offensive cyber tasks. A September 23 company update highlighted the testing and its implications for defenders, alongside work on defenses against automated attacks. The research offers a concrete view of Booz Allen's focus on the intersection of AI and cyber operations. MITRE is a nonprofit organization operating federally funded research and development centers. Its work provides government sponsors with independent technical expertise across national security, aviation, health, cybersecurity, and other public missions. A September update from its Center for Threat-Informed Defense introduced a deeper approach to measuring detection coverage. Summiting the Pyramid looks beyond whether a rule is tagged to an ATT&CK technique, examining the behaviors it can observe and the quality of the detection. That distinction connects cybersecurity measurement with how defenses actually perform. Knowtex develops clinical AI that connects patient information with documentation and clinical workflows. The company describes its current focus as clinical-grade models and evaluation methods, with products that help clinicians work with conversations, patient histories, and medical records. In a September 23 update, Knowtex introduced KnowBench and an Effort Reduction metric. The metric measures how much system-generated work clinicians retain under expert review, with deletions and rewrites counting against the result. The update shifts the evaluation question from whether AI can generate an answer to whether its output remains useful in completed clinical work. Deloitte Consulting LLP is the entity behind this directory profile. Its consulting work brings together organizational strategy, operating-model change, and technology implementation, including enterprise platforms, data, and AI. Deloitte's September 22 announcement introduced an AI-enabled M&A platform supporting work across the deal lifecycle. The platform links due diligence, transaction structuring, and integration, with human-led execution supported by AI. It illustrates the firm's broader effort to place AI inside complex business workflows rather than treat it as a separate analytical exercise. This profile's CINNA CORP display name is a former name of Apex Technology, Inc., the spacecraft-platform manufacturer known as Apex. The company builds productized satellite platforms intended to give customers a common foundation for different payloads and missions. In September, Apex and Elveo Mobile announced a partnership to establish a dedicated spacecraft factory for Elveo's direct-to-device constellation. The collaboration uses Apex's Factory X approach to production and combines its platform and manufacturing expertise with Elveo's network plans. The announcement concerns a planned manufacturing partnership, not an operating constellation. Government Acquisitions, or GAI, provides IT solutions for federal agencies, combining technology products with integration and services. Its portfolio includes infrastructure, cybersecurity, AI, and automation, with an emphasis on applying those capabilities to government operations. A September 22 company update highlighted AI-supported talent management, including résumé parsing and continuous vetting. The discussion connects GAI's technology portfolio with the workflows agencies use to recruit and manage their workforces. It is one example of the company's focus on applying IT capabilities to a specific operational problem. Significance provides federal consulting and technical services spanning financial management, audit remediation, asset management, data governance, and enterprise systems. Its work combines the business processes agencies run with the technology and data needed to support them. The company announced Brad Zwirschitz as chief growth officer on September 15. His responsibilities include business development, capture strategy, partnerships, and go-to-market planning. The appointment brings federal IT and government-consulting experience into a role connecting the firm's technical and business-services portfolio with its market-development efforts. Westat combines research, statistical methods, data collection, and analytics. Its work includes designing studies and helping organizations turn complex information into evidence for policy and program decisions. The company also brings data engineering and cloud capabilities together through its WesLytics offering. Recent research examines how machine learning can strengthen survey response by combining household information, survey-contact records, and other data. A September 22 update also previewed Westat presentations on human-AI collaboration in educational measurement. Both developments focus on how analytical methods can improve the practical work of collecting and interpreting evidence. Real-Time Innovations develops Connext, a data-distribution platform for systems that must exchange information reliably and quickly. Built on the Data Distribution Service standard, it connects sensors, devices, applications, and other components in distributed physical systems. September technical updates explored large-data communication with Connext Micro 4.3.0 on bandwidth-constrained automotive networks and the role of middleware in medical technology. The engineering discussion covers fragmentation, reassembly, and flow control, showing how the company approaches communication limits that affect real-time applications. Its current work spans autonomy, transportation, healthcare, and defense systems. Know the market around the opportunity. Use the G2X GovCon Directory to understand the potential partners, incumbents, and competitors that could shape your next pursuit. The free G2X Community Edition brings together everything you need to get started with GovCon growth.

Aibots
Sep 16th, 2026
Existential warnings meet healthcare and agricultural innovation as global AI divide deepens.

Existential warnings meet healthcare and agricultural innovation as global AI divide deepens. Today is September 16, 2026, and the artificial intelligence sector is experiencing a stark division between existential anxiety and rapid, boots-on-the-ground deployment. As lawmakers and tech executives debate the speed of federal oversight, developers are quietly embedding machine learning into classrooms, farms, pediatric operating rooms, and research labs worldwide. The battle over regulation and existential risk. The debate surrounding artificial intelligence safety has reached a fever pitch. United States Senator Bernie Sanders warned today that the potential danger of AI is "probably greater" than that of nuclear weapons, urging immediate legislative action. This statement aligns with a growing consensus among global researchers. A panel of six prominent AI experts recently outlined catastrophic risks, noting that unchecked autonomous systems could pose an existential threat to humanity. Simultaneously, the head of OpenAI addressed these fears directly. He stated that while the world is "right to be afraid" of the technology's long-term trajectory, society "should trust" AI firms to develop safeguards. Despite high-profile calls for guardrails from tech CEOs, federal action remains slow. Current reports indicate that the Trump administration and Congress are not rushing to implement sweeping AI regulations, leaving a widening gap between technological acceleration and legal frameworks. Legal experts are filling this void by hosting specialized forums, such as Morgan Lewis's upcoming analysis on AI contracting in an era of deep digital dependency. Field deployments: education, healthcare, and farming. While Washington hesitates, practical AI applications are expanding. First Lady Melania Trump visited a North Carolina school today to observe how classroom-level AI tools are personalized to enhance student learning outcomes. In the medical sector, clinical integration is accelerating. Specialized healthcare startup Knowtex officially launched its new frontier healthcare AI lab, focusing on clinical workflow automation. Simultaneously, pediatric anesthesia experts have released a comprehensive assessment of machine learning algorithms in pediatric care, aiming to optimize patient safety during delicate surgical procedures. Meanwhile, heavy industry is undergoing its own quiet revolution. In the agricultural sector, machinery is rapidly transitioning from simple operator assistance to full autonomy. Modern tractors and harvesting systems are now utilizing sophisticated computer vision and real-time decision-making models to manage crops without direct human intervention. This transformation highlights how physical automation is moving faster than the regulatory structures designed to govern it. Surreal interactions: when models talk to models. In a bizarre twist of digital evolution, researchers have documented AI models communicating with one another in an unexpected dialect. According to a new report, when LLMs converse without human intervention, they tend to drift into a highly surreal patter. This unique linguistic style blends archaic, poetic metaphors with modern "tech bro" jargon, highlighting how machine-to-machine communication is evolving away from human-designed conversational norms. The bottom line. * Regulatory Gridlock: Despite warnings from Senator Bernie Sanders comparing AI to nuclear threats, federal policy action from Congress and the White House remains stalled. * Practical Realities: Industry-specific AI solutions in agriculture, clinical healthcare, and education are accelerating independent of federal policy guidelines. * A New Dialect: AI models left to communicate autonomously have developed a hybrid dialect of poetry and Silicon Valley slang. AI Industry Fun Fact: Did you know that early radio static was once viewed with the same regulatory confusion that AI faces today? Much like the early twentieth-century radio pioneers, today's AI developers are navigating an unstructured frontier before standard operating rules are officially written. Stay Connected for Daily AI Intelligence Follow Aibots Sdn Bhd to get the latest breaking artificial intelligence reports and threat analysis delivered daily. Aibots Sdn Bhd | [Beyond Future]

Cornerstone Specialty Network
Apr 22nd, 2026
Cornerstone Specialty Network and Knowtex announce strategic partnership to advance ai-driven clinical workflows and operational efficiency nationwide.

Cornerstone Specialty Network and Knowtex announce strategic partnership to advance ai-driven clinical workflows and operational efficiency nationwide. Collaboration to automate documentation, coding, and EMR workflows - reducing clinician burden, improving revenue performance, and enhancing patient care across community oncology and specialties. [New Hope, PA] - [April 22, 2026] - Cornerstone Specialty Network ("Cornerstone"), a leading national network of community oncology and multispecialty practices, today announced a strategic partnership with Knowtex, a healthcare technology company specializing in voice-enabled AI solutions designed to automate clinical workflows and improve operational performance. Through this partnership, Cornerstone and Knowtex will deploy advanced voice AI technology across the network to streamline documentation, automate medical coding, and integrate seamlessly with leading oncology and multispecialty electronic medical record (EMR) platforms, including OncoEMR, iKnowMed, and Epic. This collaboration is designed to address one of the most pressing challenges in oncology and multispecialty practices today: the growing administrative burden on clinicians. By automating key workflows, the partnership will enable practices to improve efficiency, enhance financial performance, and refocus provider time on patient care. "Community oncology and multispecialty practices are navigating increasing complexity - from documentation demands to reimbursement pressures," said Joel Schaedler, CEO at Cornerstone Specialty Network. "Our partnership with Knowtex brings forward a highly practical, scalable solution that reduces administrative burden, improves data accuracy, and strengthens both clinical and operational performance across our network." Knowtex's platform leverages voice-enabled artificial intelligence to automate: * Clinical Documentation - Capturing and generating accurate, real-time documentation directly from physician-patient interactions * Medical Coding - Automating ICD-10 and E&M coding to improve accuracy, compliance, and revenue capture * Deep EMR Integration - Seamlessly integrating into leading oncology EMRs such as OncoEMR, iKnowMed, and Epic to eliminate redundant workflows and reduce manual data entry By embedding these capabilities into everyday clinical operations, practices can expect meaningful improvements in: * Clinician Efficiency and Burnout Reduction - Decreasing time spent on documentation and administrative tasks * Revenue Cycle Performance - Enhancing coding accuracy and supporting more consistent, optimized reimbursement * Patient Care Quality - Allowing physicians to spend more time focused on patient interaction and clinical decision-making "Knowtex is proud to partner with Cornerstone to bring voice AI-powered automation to community oncology and multispecialty practices nationwide," said Caroline Zhang, CEO at Knowtex. "Together, we are enabling a more efficient, data-driven care environment - one that supports clinicians, strengthens financial performance, and ultimately improves the patient experience." This partnership represents a key component of Cornerstone's broader strategy to modernize community oncology and multispecialty care through technology-enabled solutions that drive value, improve sustainability, and preserve the independence of local practices. About Cornerstone Oncology Specialty Network Cornerstone Oncology Specialty Network is a national network of independent community oncology and multispecialty practices dedicated to advancing high-quality, patient-centered cancer care. Through strategic partnerships, innovative programs, and operational support, Cornerstone empowers practices to thrive in an increasingly complex healthcare landscape while preserving the independence and local presence that define community oncology. About Knowtex Knowtex is a women-founded healthcare technology company, led by Stanford AI scientists and headquartered in San Francisco, delivering voice AI-powered ambient clinical intelligence that transforms how clinicians capture and use medical information. Designed to be EHR-agnostic, specialty-specific, and deeply integrated into clinical workflows, Knowtex automates documentation, coding, and EHR integration - enabling providers to generate complete, accurate notes, codes, and orders in real time. By combining clinical-grade AI with enterprise-grade security and speed, Knowtex reduces administrative burden, supports clinician wellbeing, and helps healthcare organizations improve operational efficiency and deliver comprehensive patient care. Knowtex is backed by Y Combinator, Amazon Web Services (AWS), the UCSF Rosenman Institute, and MedTech Innovators, among others. To learn more, visit Knowtex. Keep Reading the Latest from Cornerstone April 22, 2026 April 21, 2026

PharmiWeb
Jun 7th, 2023
World’s Largest Medtech Accelerator Announces 61 Startups for its 2023 Cohort

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