This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description As a Tele-Stroke Neurologist, you will evaluate and manage acute stroke patients virtually using HIPAA-compliant telemedicine technology. This role offers the opportunity to deliver high-impact, time-sensitive stroke care with competitive compensation and a flexible, physician-friendly schedule. - Sevaro’s proprietary platform, Synapse, supports real-time clinical decision-making, empowering neurologists to provide efficient, evidence-based stroke care. - We prioritize physician satisfaction, work-life balance, and clinical excellence in a collaborative, growth-oriented culture. Qualifications - Board Certified or Board Eligible in Neurology - Stroke / vascular neurology experience strongly preferred - Excellent communication skills with a focus on physician-patient interaction - Comfortable using HIPAA-compliant audio/video technology, EMRs, and PACS - Active, unrestricted medical license in any U.S. state (or ability to obtain) - Prior hospital-based, in-person stroke and neurology experience preferred - Prior tele-stroke or teleneurology experience preferred Requirements - 15 shifts per month including 4 weekend shifts and 2 night shifts - Additional night shift availability is strongly encouraged and compensated at a premium rate Benefits - Competitive compensation package - Equity offering - Flexible scheduling - Highly collaborative, physician-first culture - Opportunities for Regional Medical Director leadership roles - Health, vision, dental, and life insurance - 401(k) with 4% match - Sign-On Bonus for Full Time - Generous Stock Option Offering - CME Reimbursement Stipend - Technology and malpractice coverage provided - Licensing and credentialing costs fully covered by Sevaro Company Description Sevaro is a leading tele-neurology and tele-stroke company that combines compassion, care, and innovation to transform neurological healthcare. Our name is rooted in the word “Seva,” meaning compassion and care for others — reflecting our commitment to delivering patient-centric stroke and neurological care through proprietary technology. By leveraging advanced telemedicine solutions, Sevaro improves stroke response times, access to specialty care, and patient outcomes nationwide. We remain at the forefront of neurological innovation to support hospitals, clinicians, and the patients they serve.

• Own the vision, strategy, and delivery of AI-led solutions that materially improve Chainguard’s go-to-market effectiveness across Sales, Marketing, Customer Success, and Revenue Operations. • Identify, prioritize, and deliver high-impact AI use cases across the GTM lifecycle, including pipeline intelligence, deal prioritization, forecasting, personalization, sales enablement, RFP, and security questionnaire automation, customer insights, and retention signals. • Act as the AI product owner for GTM, translating business problems into scalable AI solutions that drive measurable outcomes such as revenue growth, productivity gains, and improved customer experience. • Lead the design and deployment of GenAI and predictive ML applications, including internal AI assistants, recommendation systems, and decision-support tools embedded into GTM workflows and systems. • Partner closely with GTM leadership, RevOps, GTM Systems, Data, Security, IT, and Legal to ensure AI solutions are trusted, secure, explainable, and compliant. • Establish best practices for the full AI solution lifecycle—from data sourcing and model development to deployment, monitoring, iteration, and adoption. • Drive data-driven decision making by ensuring AI solutions are grounded in high-quality data, clear success metrics, and executive-ready insights. • Stay ahead of emerging AI technologies and vendors, making informed build vs. buy vs. partner decisions aligned to Chainguard’s strategy and security posture. • Build, mentor, and scale a high-performing team of AI engineers, data scientists, and solution architects, fostering a culture of innovation, ownership, and impact. • Serve as a trusted advisor and thought partner to executives, clearly communicating AI strategy, tradeoffs, and business value.

• Define and own Coursedog’s enterprise AI strategy, aligned to company priorities and business outcomes • Build and maintain a multi-year roadmap for AI adoption, innovation, and governance • Partner with senior leadership to translate business needs into prioritized AI initiatives and secure alignment and buy-in • Track industry trends and emerging technologies to inform strategic direction and investment decisions • Build and own Coursedog’s AI Central Operating System, connecting agents, data, and workflows to enable cross-functional automation and decision-making • Oversee the design, deployment, and scaling of AI applications, agents, and integrations across the organization • Establish standards for AI integration, data usage, security, and safe use across tools and vendors • Lead vendor selection, tool rationalization, experimentation, and scaling of high-impact AI solutions • Own the AI enablement operating rhythm, including roadmap execution, learning content, internal documentation, and feedback loops • Build AI fluency across the organization through onboarding, workshops, playbooks, and function-specific best practices • Lead a cross-functional AI Scrum Team to develop reusable assets, guidance, and support for teams • Partner with functional leaders to embed AI into workflows, KPIs, and operating playbooks • Define and track AI adoption, ROI, productivity gains, and business outcomes • Translate complex technical concepts into clear, actionable insights for executives and stakeholders • Champion AI adoption through storytelling, executive briefings, and visible wins • Maintain reporting and feedback loops to continuously refine AI priorities and maximize impact

• Develop and evaluate a real-world AEC design use case, supporting design decisions through a collaborative, multi-agent AI workflow • Iteratively prototype, test, and refine AI-driven workflows, documenting both successes and failures • Build and maintain code repositories, along with clear documentation and compelling visual outputs • Identify and define new use cases and assess industry applicability of developed solutions • Communicate research outcomes through internal presentations at the conclusion of the internship • Contribute to or lead the preparation of a peer-reviewed publication for an external AI and/or AEC conference