Jobs at Prenuvo

Embed with clinical, product, and operations teams to deliver production AI features end to end. Build agentic systems using RAG, tool calling, MCP, and orchestration; establish evaluations, validation standards, monitoring, and governance; deploy solutions on the shared AI platform; and create reusable templates and tools. Partner with stakeholders in regulated healthcare environments while improving organizational AI fluency.

Build and ship production-grade AI features by embedding with clinical, product, and operations teams. Own solutions end to end, including architecture, evaluation, validation, governance, deployment, monitoring, and human-in-the-loop safeguards. Develop agentic capabilities using tool calling, RAG, MCP integrations, and orchestration on AWS Bedrock. Establish acceptance criteria and risk controls, contribute reusable platform assets, and improve AI fluency across teams. The role requires strong Python, cloud engineering, full-stack development, and experience delivering validated AI features in production.

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.

Leads enterprise analytical modeling and semantic architecture, establishes standards for testing, documentation, governance, lineage, observability, and access, and develops reusable governed data products. Partners across Product, Engineering, Finance, Clinical, Research, Marketing, and AI teams; guides architecture reviews, data quality ownership, semantic layer design, and governance adoption. Mentors engineers and drives modernization of analytical environments.

Own revenue forecasting, annual planning, long-range planning, scenario analysis, driver-based financial models, and performance reporting. Partner with Sales, Marketing, Expansion, Data, Product, Strategy, and Accounting to analyze revenue drivers, pricing, capacity, unit economics, and growth initiatives. Present actionable insights to executives and the Board, improve forecasting systems and data governance, and lead one FP&A direct report.

Own the strategy, architecture, roadmap, governance, and operations of the marketing technology ecosystem. Lead CRM, marketing automation, CDP, analytics, attribution, experimentation, personalization, data integrations, and automation initiatives. Partner with Marketing, Growth, Data, Product, and Engineering leadership; manage vendors, contracts, budgets, implementation, adoption, data quality, and operational risk. Provide technical direction and mentorship while translating complex decisions for executive stakeholders.

Lead full-cycle recruiting for 8–12+ technical requisitions across engineering, AI/ML, data, and product. Develop sourcing strategies, conduct technical screens, manage Greenhouse workflows, coordinate structured interviews, advise hiring leaders, negotiate offers, and provide a high-touch candidate experience. This autonomous six-month contract requires recruiting across seniority levels and geographies, including difficult-to-fill technical roles.

Own full-cycle recruiting for engineering, AI/ML, data, and product roles across multiple markets. Develop sourcing strategies, technically screen candidates, manage requisitions in Greenhouse, partner with hiring leaders, run structured interviews, negotiate offers, and identify pipeline or process risks. This is a highly autonomous six-month remote contract requiring strong technical recruiting expertise and experience managing senior-level searches.

Designs clinical and research studies, sampling plans, validation datasets, statistical analysis plans, and normative models. Performs sample size and power analyses, subgroup and lesion-level model evaluations, correlation and agreement analyses, and dataset governance. Ensures statistical work is reproducible, traceable, and suitable for regulatory scrutiny, including potential FDA submissions. Collaborates on AI model validation and clinical alignment in a hybrid Vancouver-based contractor role.

The Senior People Operations Generalist manages and improves employee lifecycle processes, HRIS data integrity, reporting, system troubleshooting, documentation, compliance, employee relations escalations, immigration and mobility coordination, and cross-functional People projects. The role partners with HR, payroll, benefits, legal, compliance, IT, and vendors; supports system implementations and training; mentors junior staff; and handles confidential employee information.

Lead end-to-end development of LLM and agentic AI systems for clinical applications: fine-tuning, domain adaptation, multimodal integration with imaging and structured data, rigorous evaluation and hallucination mitigation, production deployment with clinical validation, and cross-functional technical leadership to establish org-wide frameworks and standards.