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Lead execution and development of the consumer product roadmap, shipping web and mobile features, optimizing conversion to physician visits, and identifying new opportunities across the patient journey. Define metrics, run A/B tests and user research, prototype with AI tools, and coordinate launches across engineering, design, clinical, AI, marketing, support, and operations teams.

Own sales operations for enterprise healthcare deals, including CRM governance, deal desk management, contracting and procurement follow-through, diligence and security questionnaires, pipeline reviews, forecasting, board reporting, and handoff documentation. Build scalable processes and automate recurring workflows while reducing contracting time. The role requires high autonomy and close coordination with sales, legal, security, compliance, clinical, engineering, implementation, and customer success teams.

Owns enterprise sales and partnerships across the healthcare ecosystem, focusing on embedded API and chat products. Generates pipeline, closes technology-focused deals, sells to product and engineering leaders, structures revenue-share and usage-based agreements, manages partner launches, and builds referral and expansion motions. Requires strong technical fluency, enterprise sales experience, ecosystem relationships, and the ability to develop non-standard commercial models.

Owns enterprise partnership delivery from contract signature through go-live, targeting launches within 60 days. Builds and leads deployment pods, establishes repeatable implementation playbooks, manages requirements and technical SLAs, coordinates sales-to-delivery handoffs, controls scope, and serves as the partner escalation path. The role leads deployment strategists and solutions engineers while improving reuse, productization, launch quality, and integration delivery across healthcare enterprise partners.

Own dynamic budgeting, budget-versus-actuals reporting, cash visibility, accounts payable workflows, procurement controls, vendor renewals, cost modeling, corporate compliance support, insurance management, and related administrative processes. The role partners with finance leadership, legal, HR, brokers, and senior management to build scalable financial and operational infrastructure in a fast-growing healthcare AI company.

Lead and grow the platform engineering team responsible for infrastructure, developer productivity, deployment, observability, reliability, security, and cost optimization. Set technical direction, guide architecture, contribute to production code and automation, improve CI/CD and engineering workflows, build AI-native development tooling, lead incident response, and hire and coach engineers.

Build and launch full-stack patient, clinician, and healthcare partner features across web, mobile, backend, AI, and clinical integrations. Responsibilities include developing workflows, connecting AI consultations to treatment, improving performance, privacy, accessibility, and reliability, using coding agents, automating engineering tasks, and supporting products in production. The role requires strong product judgment, autonomy, cross-functional communication, and the ability to ship across unfamiliar systems.

Own and improve Doctronic’s platform engineering systems across AWS, including production reliability, infrastructure as code, CI/CD, developer environments, observability, security, cost efficiency, and incident response. Build reusable infrastructure, service templates, automation, and agent-ready workflows that enable engineering teams and coding agents to safely deliver software with greater speed and autonomy.

Own paid acquisition strategy and execution across Google, Meta, TikTok, CTV, direct mail, and other channels. Manage campaign structure, budgets, bidding, optimization, experimentation, creative briefs, clinical review, reporting, and incrementality testing. Partner with analytics and marketing engineering teams to measure performance within HIPAA-compliant privacy limits, recommend growth budgets, and diversify the channel mix.

The Senior AI Engineer will develop core AI systems for healthcare, focusing on real-time inference and NLP pipelines, ensuring safety and scalability in medical consultations.