Top Tech Jobs & Startup Jobs

Provide phone-based support to patients, resolving appointment, prescription, and provider communication requests. Coordinate with healthcare providers, pharmacies, and internal teams; manage cases through resolution; document accurately in CRM and EMR systems; escalate sensitive issues; and complete operational tasks while maintaining empathy, professionalism, and clear communication in a high-volume remote environment.

Own frontend delivery for AI-powered mental healthcare products using a large Angular monorepo. Develop, test, and release patient-facing and internal applications; improve architecture, performance, platform health, CI/CD, and NX structure. Build interfaces for AI features and use agentic coding tools in daily development. Collaborate cross-functionally while occasionally working across SQL, backend endpoints, and APIs.

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.

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, safety, reliability, and patient experience. Responsibilities include experimentation, evaluation, KPI definition, data analysis, hypothesis validation, stakeholder communication, and integrating conversational AI with healthcare workflows and backend systems.

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.

Leads an engineering track by empowering engineers, driving organizational and engineering-wide initiatives, facilitating cross-team collaboration, partnering with Product Managers, and building a culture of ownership and continuous improvement. The role includes hiring, onboarding, mentoring, performance management, and career development for engineers while operating autonomously and making high-quality decisions in an ambiguous environment.

Lead MEDvidi’s product and engineering organization across 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 partner with the CEO on strategic initiatives. The role requires hands-on AI product expertise, executive communication, behavioral design, data-driven decision-making, and leadership of large cross-functional teams.