Jobs at MEDvidi

Own end-to-end frontend delivery for patient-facing, clinical, administrative, and AI-powered products. Maintain and evolve a large Angular monorepo, design scalable application architecture, write tested TypeScript and RxJS code, improve performance and CI/CD, and contribute to framework upgrades. Collaborate cross-functionally from requirements through release while working across SQL, backend endpoints, and APIs when needed. Use agentic AI tools extensively in development and build responsive interfaces for healthcare users.

Own end-to-end frontend delivery for AI-powered healthcare products across patient, clinician, and administrative applications. Develop and maintain a large Angular codebase, design scalable architectures, write tested code, improve performance and platform health, and contribute to Nx monorepo, CI/CD, and framework upgrades. Build interfaces for AI features while using agentic development tools. Collaborate cross-functionally and work across API, backend, and SQL layers when needed.

Own the strategy, roadmap, execution, and business outcomes for MEDvidi’s AI Receptionist product. Lead cross-functional collaboration across Product, Engineering, Clinical, and Operations teams; improve conversational AI quality through experimentation, evaluation, analytics, and user feedback; define success metrics; and ensure safety, privacy, and reliability in regulated healthcare workflows.

Analyze paid and organic marketing performance, allocate spend, build acquisition and conversion dashboards, investigate funnel and attribution issues, and evaluate experiments. The analyst will identify growth opportunities, improve reporting reliability, and advise the Demand and Supply group with clear, evidence-based recommendations.

Analyze paid and organic marketing performance, allocate spend, build acquisition and conversion dashboards, investigate funnel and data issues, monitor attribution, and evaluate A/B experiments. The role provides data-driven recommendations to a cross-functional Demand and Supply team and requires strong SQL, Python, statistics, BI, communication, and marketing analytics skills.

Analyze paid and organic marketing performance, allocate spend, build acquisition dashboards, investigate funnel and attribution issues, and evaluate experiments. The role translates marketing data into actionable recommendations for a cross-functional team, improves reporting reliability, and advises on acquisition and conversion strategy. It requires strong SQL, Python, BI, statistics, experimentation, communication, and marketing analytics skills.

Own the company’s legal and regulatory strategy across controlled-substance prescribing, telehealth practice, corporate structure, privacy, marketing, AI, litigation, workforce matters, payer contracts, and governance. Advise executives and the board, manage government inquiries and outside counsel, negotiate healthcare and commercial agreements, and build the legal function. The role requires deep healthcare and digital-health experience, including MSO and professional-corporation structures, HIPAA, healthcare fraud and abuse, consumer protection, employment law, and multi-state regulatory matters.

Own end-to-end frontend delivery for patient-facing, clinical, administrative, and AI-powered products. Maintain and improve a large Angular codebase and NX monorepo, contribute to architecture and performance, write tested TypeScript and RxJS code, and support framework, CI/CD, and tooling improvements. Collaborate cross-functionally from requirements through release, use agentic AI development tools, and occasionally work across SQL, backend endpoints, and API layers.

Leads an engineering track by empowering engineers, driving organizational and technical initiatives, improving collaboration with Product, and building a culture of ownership and continuous improvement. Responsibilities include managing ceremonies, hiring, onboarding, mentoring, performance management, career development, and scaling zero-to-one product initiatives. This is a people and organizational leadership role rather than a delivery management or hands-on technical authority position.

Own the company’s AWS and Kubernetes infrastructure, Infrastructure as Code, CI/CD, observability, security engineering, deployment reliability, and developer experience. Lead infrastructure strategy while remaining hands-on with Terraform, AWS CDK, GitLab, monitoring, Vault, PostgreSQL migrations, and zero-downtime operations. Partner with product engineering teams, improve platform reliability and cost efficiency, and integrate agentic AI workflows into production. The role requires strong Linux, AWS, Kubernetes, security, and distributed-team experience, plus fluent Russian and English.

Own the strategy, roadmap, execution, and outcomes for an AI Receptionist product serving healthcare patients through chat and voice. Lead cross-functional collaboration with Engineering, Clinical, Operations, and Product teams; improve AI quality through experimentation, evaluation, analytics, and user feedback; define KPIs; and ensure patient safety, privacy, and reliability in regulated healthcare workflows.

Analyze production Voice AI agent behavior using transcripts, logs, outputs, and operational data. Investigate hallucinations, failures, anomalies, and quality degradation; develop AI evaluation frameworks, monitoring systems, and dashboards; measure business and patient experience impact; and translate findings into product improvements with Product, Engineering, QA, and Operations teams.

Analyze production behavior of Voice AI agents, investigate hallucinations and failure modes, design AI quality evaluations, build monitoring dashboards, and measure business and patient experience impact. Partner with Product, Engineering, QA, and Operations to translate conversational data, logs, transcripts, and operational metrics into product improvements and decisions.

Analyze production Voice AI behavior, transcripts, logs, and operational data to identify failures, quality changes, and business impact. Build AI evaluation frameworks, monitoring systems, and dashboards; measure reliability, efficiency, and patient experience; and translate findings into product improvements with Product, Engineering, QA, and Operations teams.

Own the company’s infrastructure strategy, reliability, security, cost, and developer experience. Manage AWS and Kubernetes/EKS environments, Infrastructure as Code, GitLab CI/CD, observability, blue-green deployments, automated rollback, PostgreSQL migrations, secrets, Vault, and HIPAA-aware security. Partner with product engineering teams to reduce infrastructure friction, lead technical direction, and integrate agentic AI workflows into production. The role is hands-on, remote, and requires strong Linux, systems, cloud, and communication skills.

Own the strategy, roadmap, execution, and outcomes for MEDvidi’s AI Receptionist product. Lead cross-functional collaboration across Product, Engineering, Clinical, and Operations teams; improve conversational AI through experimentation, evaluation, data analysis, and user feedback; define success metrics; and ensure patient safety, privacy, reliability, and quality in regulated healthcare workflows.

Own the strategy, roadmap, execution, and outcomes for an AI Receptionist product serving healthcare patients through chat and voice. Partner with Engineering, Clinical, and Operations teams to improve AI quality, run experiments, define KPIs, analyze performance, and deliver safe, reliable patient experiences in a regulated environment.

Lead MEDvidi’s entire product and engineering organization, including product management, engineering, design, data, and product marketing. Define and execute an AI-first product strategy, oversee multiple product tracks, drive company-level OKRs, improve execution and culture, and develop AI-powered healthcare products. The role requires executive leadership, hands-on AI product expertise, behavioral design, data-driven problem solving, and strong cross-functional management.

Analyze production Voice AI agents and conversational workflows using transcripts, logs, outputs, and operational data. Investigate hallucinations, failures, anomalies, and quality degradation; design AI evaluation frameworks, monitoring systems, and dashboards; measure business and patient-experience impact; and translate findings into product improvements while collaborating with Product, Engineering, QA, and Operations.

Engineering leadership role focused on empowering engineers, improving organizational performance, leading engineering initiatives, partnering with Product Managers, establishing growth frameworks, and hiring and mentoring engineering teams. The position emphasizes people leadership, proactive problem-solving, cross-functional collaboration, and continuous improvement rather than code review, architecture, delivery management, or sprint velocity. Fully remote work is offered under a B2B model.