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Leads quality engineering for healthcare products supporting providers, patients, and diagnostic reporting. Responsibilities include developing risk-based test strategies, performing manual and automated web/mobile/API testing, improving automation frameworks and CI/CD integration, evaluating accessibility, managing defects, leading root-cause analysis, communicating quality risks, driving process improvements, and mentoring team members.

Leads quality engineering for healthcare provider, patient workflow, and diagnostic reporting products. Responsibilities include risk-based test strategy, manual and automated testing of web, mobile, API, and backend systems, accessibility validation, defect management, root cause analysis, CI/CD test integration, quality process improvement, stakeholder communication, and mentoring. The role also contributes to performance and security testing while driving reliable, user-centered product releases.

Own product operations and organizational readiness for launches, rollouts, pilots, and process changes. Build change-impact assessments, enablement, communications, adoption measures, feedback systems, and launch processes. Partner cross-functionally with Product, Clinical, Operations, Marketing, Support, and TPM teams to identify risks, improve workflows, synthesize user feedback, and turn operational insights into product recommendations and continuous improvements.

Own an AI model domain end-to-end, leading foundation-model and multimodal-system development for whole-body MRI. Design experiments, validation studies, data-quality standards, and clinical reviews; diagnose failure modes; guide generative and agentic AI applications; collaborate across clinical, annotation, engineering, and product teams; and deliver production-ready models with documented validation, clinical sign-off, and performance benchmarks.

Build and scale sales enablement across direct-to-consumer, physician partnership, and enterprise teams. Develop selling strategies, onboarding, training, coaching, certifications, playbooks, talk tracks, and sales content. Analyze sales performance and call observations to improve seller capability, adoption, productivity, ramp time, and conversion. Partner cross-functionally with Sales, Marketing, Product, Clinical, Legal, and Sales Operations while personally delivering hands-on enablement programs in a 0-to-1 environment.

Build and scale sales enablement across direct-to-consumer, physician partnership, and enterprise teams. Develop sales strategies, onboarding, training, coaching, playbooks, content, and knowledge resources. Analyze sales performance and seller feedback to improve conversion, ramp time, productivity, and adoption. Partner cross-functionally with Sales, Marketing, Product, Clinical, Legal, and Sales Operations while personally delivering enablement programs in a hands-on 0-to-1 environment.

Own the strategy, architecture, governance, and roadmap for Prenuvo’s marketing technology ecosystem. Lead CRM, automation, CDP, analytics, attribution, experimentation, personalization, integrations, data quality, vendor management, and automation initiatives. Partner with Marketing, Growth, Data, Product, and Engineering leaders to establish scalable technical solutions, manage vendor spend, improve campaign operations, and provide technical direction and mentorship.

Own full-cycle recruiting for 8–15 concurrent requisitions across clinical, engineering, product, AI, operations, corporate, and commercial functions. Partner with hiring managers and senior leaders on role definition, sourcing, structured interviews, candidate assessment, offer negotiations, and hiring decisions. Build passive talent pipelines, manage candidate experience, and adapt recruiting strategies across multiple geographies and time zones.

Lead qualitative UX research across the patient journey, including study planning, recruitment, moderation, synthesis, and stakeholder storytelling. Build repeatable research practices, toolkits, and outreach channels while partnering with Design, Product, clinics, and quantitative researchers. Conduct privacy-conscious research involving sensitive healthcare decisions, considering HIPAA and IRB requirements. Translate patient goals, barriers, and mental models into actionable product and experience improvements.

Build and operate production-grade data pipelines and models connecting marketing, event, operational, and SaaS data into Databricks. Own data quality, testing, monitoring, lineage, orchestration, attribution, identity resolution, and governed semantic-layer contributions. Partner cross-functionally on privacy-aware data flows, event taxonomies, and reliable Growth data products while improving engineering standards and maintainability.