Nucs AI

Role Description Join our engineering team as a Full Stack Engineer and help build the next generation of medical imaging platforms. You'll work at the intersection of healthcare and technology, developing secure, scalable systems that directly impact patient care and clinical workflows. You'll design and implement robust distributed systems that power our AI diagnostic tools—architecting services that handle sensitive medical data reliably, scale gracefully under load, and integrate seamlessly with hospital infrastructure. What You'll Build - Scalable microservices architectures using Kubernetes for orchestration and deployment - Event-driven systems with RabbitMQ for reliable asynchronous processing of medical data - Robust FastAPI backends that process and serve medical imaging data at scale - Production-grade CI/CD pipelines with comprehensive testing, monitoring, and rollback capabilities - Scalable data architectures using SQL databases with smart indexing and caching strategies - Monitoring, logging, and alerting systems that ensure reliability in clinical environments - Seamless integrations between internal services and external healthcare systems (HL7, FHIR) - Modern React frontends for clinical workflows and data management Qualifications - 3+ years of full-stack engineering experience with shipped products that real users depend on - Strong system design skills with experience architecting distributed systems and microservices - DevOps expertise with Kubernetes, containerization, CI/CD, and Google Cloud Platform - Backend proficiency in Python with Flask or FastAPI for building reliable APIs and services - Database expertise in SQL and relational data modeling for handling complex medical data - Experience with message queues and event-driven architecture patterns - Clear communication skills and a pragmatic approach to solving complex technical problems - Frontend competency in TypeScript and React - CEFR Level C1 or C2 certification in English, or equivalent demonstrable mastery of the language - Strong academic background with a degree from a highly-ranked university Bonus Points - Experience in healthcare/medical software development - Knowledge of regulatory requirements (GDPR, ISO 13485) - Experience integrating ML/analytics into production workflows - Strong security mindset with experience in threat modeling and compliance - Familiarity with infrastructure-as-code tools (Terraform, Pulumi) - Experience with WebGL, WebGPU, or medical imaging frameworks (Cornerstone3D, VTK.js) Benefits - Mission with real impact – Your work directly improves how cancer patients are diagnosed and treated. - Ground-floor opportunity – Early-stage company, meaningful equity, and outsized influence on the direction we take. - World-class collaborators – Work alongside leading oncologists, nuclear medicine physicians, and AI researchers globally. - Massive market tailwinds – Radioligand therapy and AI-driven oncology are multi-billion dollar growth markets. - Autonomy and flexibility – Remote-first, flexible working. We hire great people and trust them to deliver. - Equity upside – Competitive equity package. We’re building something big and want you to share in it. How to Apply Submit your resume and a brief note on why this role and Nucs AI excite you. Equal Opportunity Nucs AI is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all team members. All qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.

About Nucs AI Nucs AI is revolutionizing cancer care through cutting-edge AI and medical imaging technology. Founded in 2024 by a multidisciplinary team of oncologists, AI researchers, and healthcare innovators, we’re tackling one of medicine’s most pressing challenges: the growing demand for accurate, timely cancer diagnostics in the face of rising scan volumes and limited radiologist capacity. We sit at the intersection of diagnostics and treatment planning—building AI-powered tools at the convergence of medical imaging, radioligand therapy, and artificial intelligence. Starting with prostate cancer and expanding across oncology, we partner with world-leading medical institutions and pharmaceutical companies across the US, Europe, and Australia to bring precision oncology into everyday clinical practice. Our mission is to enhance diagnostic precision and expand access to expert-level cancer care, improving patient outcomes worldwide. We’re venture-backed, early-stage, and building a team that blends deep clinical expertise with engineering intensity—moving with the rigor the medical field demands and the speed the problem deserves. The Opportunity Nucs AI is looking for a Senior Product Manager who thrives at the intersection of complex technology and specialized end-users. You will own critical parts of our product roadmap, translating deep clinical and technical requirements into clear product direction, then driving execution across data, engineering, regulatory, and commercial areas. This is not a role where you manage a feature backlog in isolation; you will be expected to build conviction around what we should build, why, and in what order, and to defend that thinking rigorously. What You’ll Do Product Development Support - Own the roadmap for one or more product lines (e.g., DeepPSMA, SelectPSMA, TrackPSMA), balancing clinical impact, technical feasibility, and business value. - Engage directly with clinicians, nuclear medicine physicians, and oncologists to deeply understand their workflows, pain points, and decision-making processes. - Translate ambiguous, technically complex problems into well-structured product requirements and clear success criteria. - Develop and articulate a clear product narrative: why this feature matters, who it serves, and how it connects to the broader platform vision. - Navigate the regulatory landscape (FDA, CE marking) as a stakeholder, you do not need to be a regulatory expert, but you must understand how regulatory requirements shape product decisions and timelines. Cross-Functional Coordination - Drive cross-functional execution with engineering, AI/ML, clinical, regulatory, and commercial stakeholders, keeping a small team moving fast without sacrificing quality. - Contribute to go-to-market strategy, positioning, and customer enablement alongside commercial and clinical teams. Analytics & Insights - Define and track meaningful product metrics; use data and user feedback to inform iteration and prioritization decisions. What You Bring - 3-6 years of product management experience in a B2B or technical environment building products for specialized, professional users (not purely consumer products). - Demonstrated ability to manage complex products where the user base has deep domain expertise, e.g., enterprise software, developer tools, scientific instruments, industrial platforms, or similar. - Strong conceptual and systems thinking. You can see the big picture, connect disparate inputs into a coherent product thesis, and reason about second-order effects. You don't just execute, you think. - Startup or high-growth experience. You have worked in an environment where speed, ambiguity, and wearing multiple hats were the norm, not the exception. - Excellent communication skills. You can write clearly, present a compelling argument, and facilitate productive discussions with both technical and non-technical stakeholders. - Comfort with technical depth. You do not need to write code, but you should be able to engage meaningfully with engineers and data scientists on architecture, data, and tradeoff discussions. - Intellectual curiosity and learning agility. You pick up new domains quickly and enjoy becoming a quasi-expert in areas you previously knew nothing about. Bonus Points - Experience in healthcare, medtech, health-AI, or a regulated industry. - Familiarity with medical imaging, oncology workflows, or clinical decision support. - Experience working with AI/ML-driven products where model behavior shapes the user experience. - Exposure to FDA 510(k), De Novo, or CE marking processes for software as a medical device (SaMD). Why Nucs AI - Mission with real impact – Your work directly improves how cancer patients are diagnosed and treated. - Ground-floor opportunity – Early-stage company, meaningful equity, and outsized influence on the direction we take. - World-class collaborators – Work alongside leading oncologists, nuclear medicine physicians, and AI researchers globally. - Massive market tailwinds – Radioligand therapy and AI-driven oncology are multi-billion dollar growth markets. - Autonomy and flexibility – Remote-first, flexible working. We hire great people and trust them to deliver. - Equity upside – Competitive equity package. We’re building something big and want you to share in it. How to Apply Submit your resume and a brief note on why this role and Nucs AI excite you. Equal Opportunity Nucs AI is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all team members. All qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.

About Nucs AI Nucs AI is revolutionizing cancer care through cutting-edge AI and medical imaging technology. Founded in 2024 by a multidisciplinary team of oncologists, AI researchers, and healthcare innovators, we’re tackling one of medicine’s most pressing challenges: the growing demand for accurate, timely cancer diagnostics in the face of rising scan volumes and limited radiologist capacity. We sit at the intersection of diagnostics and treatment planning—building AI-powered tools at the convergence of medical imaging, radioligand therapy, and artificial intelligence. Starting with prostate cancer and expanding across oncology, we partner with world-leading medical institutions and pharmaceutical companies across the US, Europe, and Australia to bring precision oncology into everyday clinical practice. Our mission is to enhance diagnostic precision and expand access to expert-level cancer care, improving patient outcomes worldwide. We’re venture-backed, early-stage, and building a team that blends deep clinical expertise with engineering intensity—moving with the rigor the medical field demands and the speed the problem deserves. The Opportunity Nucs AI is looking for a Machine Learning Scientist to deepen our ML research capabilities in clinical oncology. This is a senior, research-oriented role for someone who wants to develop novel approaches to medical image analysis, treatment outcome prediction, and multi-modal clinical data integration - and see those methods reach real clinical settings. You’ll work at the intersection of ML research and clinical application, collaborating closely with physicians, medical physicists, and experienced engineers with deep domain expertise. Together, you’ll develop methods that are scientifically rigorous and clinically meaningful. Your work will directly shape our product capabilities and contribute to peer-reviewed science. What You’ll Do Research & Method Development - Develop novel ML/DL methods for medical image analysis, including segmentation, lesion detection, longitudinal tracking, treatment response prediction, and outcome modeling - Design and conduct experiments to evaluate new approaches against clinical baselines and state-of-the-art methods - Stay current with the literature and propose research directions that advance Nucs AI’s product and scientific goals - Publish findings in top-tier venues (MICCAI, RSNA, JNM, Medical Image Analysis) and represent Nucs AI at scientific conferences Clinical Translation - Collaborate with clinicians and medical physicists to ensure methods are grounded in clinical reality - Produce validated research outputs with documented performance benchmarks and clear handoff specifications for production engineering - Contribute to clinical validation studies and evidence generation for regulatory submissions External Engagement - Collaborate with external academic research partners on joint studies - Support scientific diligence with pharma and clinical partners - Contribute to Nucs AI's scientific credibility in the field What You Bring - PhD in machine learning, computer vision, medical image analysis, biomedical engineering, or related field - Strong publication record in relevant venues (medical imaging, clinical ML, computer vision) - Experience structuring and executing research collaborations with academic and clinical institutions - Deep expertise in deep learning architectures for image analysis (CNNs, transformers, U-Nets, etc.) - Strong programming skills in Python and deep learning frameworks (PyTorch preferred) - Experience working with medical imaging data (PET/CT, MRI, or similar modalities) - Strong statistical foundations - experimental design, hypothesis testing, survival analysis, and clinical biostatistics Bonus Points - Experience with nuclear medicine imaging & dosimetry (PSMA-PET, FDG-PET, SPECT) - Expertise in treatment outcome prediction, survival analysis, or longitudinal modeling - Experience with multi-modal data integration (imaging + clinical + genomic) - Familiarity with clinical trial design and regulatory evidence requirements - Prior industry experience translating research into deployed products - Experience with graph neural networks, molecular representations, or drug-response modeling - Experience with Generative AI in medical domain Why Nucs AI - Mission with real impact – Your work directly improves how cancer patients are diagnosed and treated. - Ground-floor opportunity – Early-stage company, meaningful equity, and outsized influence on the direction we take. - World-class collaborators – Work alongside leading oncologists, nuclear medicine physicians, and AI researchers globally. - Massive market tailwinds – Radioligand therapy and AI-driven oncology are multi-billion dollar growth markets. - Autonomy and flexibility – Remote-first, flexible working. We hire great people and trust them to deliver. - Equity upside – Competitive equity package. We’re building something big and want you to share in it. How to Apply Submit your resume and a brief note on why this role and Nucs AI excite you. Equal Opportunity Nucs AI is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all team members. All qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.

Role Description As Nucs AI's clinical partnerships expand and our products move toward commercial deployment, this role drives the clinical execution engine of the medical team: scientific communications, clinical enablement and education, medical intelligence, and the clinical-AI quality and data work that underpins our products. This role can be scoped at either Lead or Specialist level depending on experience and domain expertise. You'll be the connective tissue between our clinical partners, users, the product and engineering teams, and the broader medical function. You'll translate clinical insights and evidence into compelling publications, educational programs, and intelligence assets; build relationships with key external experts and clinical collaborators; support clinical users through pilots, training, and adoption; and shape product-market fit from a clinical lens. You'll also manage the medical annotation team and contribute to medical's end-to-end ownership of the data pipeline — the clinicians, specialists, and data flows that produce the ground truth and validation evidence underpinning our AI models. If you're energized by translating clinical science into impact — through publications, training programs, clinician engagement, and the data work that makes AI-powered diagnostics trustworthy — this is the role. What You'll Do - Scientific Communications & Evidence Production - Prepare scientific summaries, abstracts, posters, manuscripts, and conference materials - Coordinate publication planning and execution in partnership with the Medical Director, Associate Director, and external collaborators - Review all external-facing materials for clinical and scientific accuracy - Support integrated evidence generation pipelines (regulatory, reimbursement, and other downstream applications) and documentation with clinical content, summaries, and scientific context - Clinical Enablement & User Adoption - Develop and deliver educational programs, training materials, and onboarding resources for clinical users of Nucs AI products - Design and support clinical pilot programs, including engagement frameworks, training materials, and structured metric capture for workflow integration - Serve as the day-to-day clinical and scientific point of contact for users; capture structured feedback to inform product and medical priorities - Evaluate clinical workflows and surface opportunities to strengthen product-market fit - Build internal learning programs and provide ongoing clinical support to deepen clinical fluency across cross-functional teams - Annotation Team Management & Data Pipeline - Manage and coordinate the medical annotation team — clinicians and imaging specialists responsible for ground-truth labeling and expert annotation of medical imaging data - Define annotation protocols, quality standards, and review workflows in collaboration with the Medical Director and ML team - Oversee annotator onboarding, training, calibration, and performance monitoring to ensure consistency and accuracy - Support end-to-end ownership of the data pipeline — from vendor coordination and clinical requirements through QC, distribution, and internal tooling - Liaise between the annotation team, medical team, and engineering/ML teams to ensure data outputs meet training, validation, and study requirements - Clinical Operations & Investigations - Build and maintain relationships with key external experts, academic partners, and clinical collaborators - Lead operational coordination of clinical investigations and evidence programs in partnership with academic and clinical sites - Coordinate internal reader validation studies, including reader recruitment, read-out logistics, and performance data capture, to verify product performance and feed findings into product and medical teams - Organize and support advisory board meetings, clinical workshops, and scientific symposia - Manage conference logistics and produce structured intelligence reports from scientific meetings - Drive cross-functional alignment, milestone tracking, and operational delivery across medical team programs - Medical Intelligence & Knowledge Management - Drive medical intelligence activities, including literature surveillance, conference synthesis, and clinical trial monitoring - Conduct evidence synthesis, competitive intelligence, and clinical landscape analysis to inform medical and product strategy - Build and maintain medical knowledge hubs, repositories, and reference resources to make scientific content discoverable across the team - Translate clinical insights from key external expert engagement, conferences, partnerships, and user interactions into actionable briefs for the medical team and broader organization Qualifications - Bachelor's or advanced degree in medical imaging, medical sciences, life sciences, or a related field - Domain expertise in oncology and/or radiology/nuclear medicine highly preferred - This role will be scoped as Lead or Specialist based on experience. Candidates with 4+ years of directly relevant experience will be considered at the Lead level; candidates with fewer years but strong domain expertise or an exceptional relevant background will be considered at the Specialist level - Strong scientific writing and data presentation skills, including experience contributing to peer-reviewed publications - Experience building relationships with key external experts, clinicians, and clinical research communities - Excellent communication skills, with the ability to bridge clinical, product, and commercial audiences Bonus Points - Experience managing or coordinating clinical annotation, labeling, or data review teams - Direct experience with PET/CT imaging or radioligand therapy - Familiarity with AI/ML-driven clinical tools or health-tech products - Experience with medical image annotation platforms or ground-truth data pipelines for AI training - Experience supporting FDA or CE regulatory submissions - Published research or conference presentations in relevant domains Benefits - Mission with real impact – Your work directly improves how cancer patients are diagnosed and treated. - Ground-floor opportunity – Early-stage company, meaningful equity, and outsized influence on the direction we take. - World-class collaborators – Work alongside leading oncologists, nuclear medicine physicians, and AI researchers globally. - Massive market tailwinds – Radioligand therapy and AI-driven oncology are multi-billion dollar growth markets. - Autonomy and flexibility – Remote-first, flexible working. We hire great people and trust them to deliver. - Equity upside – Competitive equity package. We’re building something big and want you to share in it. How to Apply Submit your resume and a brief note on why this role and Nucs AI excite you. Equal Opportunity Nucs AI is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all team members. All qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description As Nucs AI’s clinical partnerships expand and our products move toward commercial deployment, this role drives the medical affairs engine—scientific communications, KOL engagement, clinical education, and product-market fit from a clinical perspective. You’ll be the connective tissue between our clinical partners, product team, and the broader medical community. Working alongside the Medical Director and Associate Director of Medical Programs, you’ll translate clinical insights and study results into compelling scientific narratives, educational programs, and market-facing materials that build trust and drive adoption. You’ll also manage the medical annotation team—overseeing the clinicians and specialists who provide the ground-truth labels and expert annotations that underpin our AI models. If you’re energized by translating clinical science into impact—through publications, presentations, training programs, and physician engagement—this is the role. Qualifications - Bachelor’s or advanced degree in Medical Imaging, Medical Science, Life Sciences, or related field - 3+ years of experience in medical affairs, medical science liaison, or clinical communications - Strong scientific writing and data presentation skills; experience with peer-reviewed publications - Experience building relationships with KOLs and clinical research communities - Experience managing or coordinating clinical annotation, labeling, or data review teams - Excellent communication skills; able to bridge clinical, product, and commercial audiences Requirements - Lead preparation of scientific summaries, abstracts, posters, manuscripts, and conference presentations - Coordinate publication planning and execution in partnership with the Medical Director and external collaborators - Review all external-facing materials for clinical and scientific accuracy - Support regulatory documentation with clinical evidence summaries and scientific context - Build and maintain relationships with Key Opinion Leaders, academic partners, and clinical collaborators - Develop and deliver training programs and educational materials for clinical users of Nucs AI products - Organize and support advisory boards, clinical workshops, and scientific symposia - Provide scientific support to commercial teams and clinical customers - Manage and coordinate the medical annotation team—clinicians and imaging specialists responsible for ground-truth labeling and expert annotation of medical imaging data - Define annotation protocols, quality standards, and review workflows in collaboration with the Medical Director and ML team - Oversee annotator onboarding, training, calibration, and performance monitoring to ensure consistency and accuracy - Serve as the liaison between the annotation team and engineering/ML teams to ensure annotation outputs meet model training and validation requirements - Evaluate clinical workflows and identify opportunities to strengthen product-market fit - Collaborate with product teams on feature refinement based on clinical feedback and real-world use - Identify clinical growth opportunities and new indication pathways based on field insights - Synthesize competitive intelligence, clinical literature, and market trends into actionable recommendations - Support clinical validation projects with literature reviews, evidence synthesis, and data interpretation - Monitor clinical outcomes data and translate findings into strategic product and positioning insights - Collaborate with the Associate Director of Medical Programs on study communications and dissemination Benefits - Mission with real impact – Your work directly improves how cancer patients are diagnosed and treated. - Ground-floor opportunity – Early-stage company, meaningful equity, and outsized influence on the direction we take. - World-class collaborators – Work alongside leading oncologists, nuclear medicine physicians, and AI researchers globally. - Massive market tailwinds – Radioligand therapy and AI-driven oncology are multi-billion dollar growth markets. - Autonomy and flexibility – Remote-first, flexible working. We hire great people and trust them to deliver. - Equity upside – Competitive equity package. We’re building something big and want you to share in it. How to Apply Submit your resume and a brief note on why this role and Nucs AI excite you. Equal Opportunity Nucs AI is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all team members. All qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.

• Own the roadmap for one or more product lines (e.g., DeepPSMA, SelectPSMA, TrackPSMA), balancing clinical impact, technical feasibility, and business value. • Engage directly with clinicians, nuclear medicine physicians, and oncologists to deeply understand their workflows, pain points, and decision-making processes. • Translate ambiguous, technically complex problems into well-structured product requirements and clear success criteria. • Develop and articulate a clear product narrative: why this feature matters, who it serves, and how it connects to the broader platform vision. • Navigate the regulatory landscape (FDA, CE marking) as a stakeholder, you do not need to be a regulatory expert, but you must understand how regulatory requirements shape product decisions and timelines. • Drive cross-functional execution with engineering, AI/ML, clinical, regulatory, and commercial stakeholders, keeping a small team moving fast without sacrificing quality. • Contribute to go-to-market strategy, positioning, and customer enablement alongside commercial and clinical teams. • Define and track meaningful product metrics; use data and user feedback to inform iteration and prioritization decisions.

• Manage day-to-day execution of clinical validation studies, investigator-led research, and data collection initiatives • Coordinate with clinical sites on study protocols, patient enrollment, data submission timelines, and compliance requirements • Maintain study trackers, timelines, and milestone dashboards; surface risks and dependencies proactively • Oversee site onboarding, training, and ongoing communication for multi-site studies • Manage clinical data collection workflows, ensuring data integrity, completeness, and traceability • Coordinate data transfer, de-identification, and integration with engineering and ML teams for model training and validation • Support development and maintenance of clinical data agreements, IRB submissions, and ethical approvals • Track and resolve data quality issues across sites and studies • Prepare and maintain clinical study documentation: protocols, informed consent forms, study reports, and site files • Support regulatory submissions with clinical evidence summaries, study narratives, and data packages • Ensure all clinical programs comply with applicable regulatory requirements, GCP guidelines, and internal QMS processes • Serve as the primary operational liaison between the medical team, product, engineering, and quality functions • Coordinate medical team inputs into product development, feature validation, and clinical feedback loops • Support preparation of scientific communications, abstracts, and presentations with clinical data and study results • Manage vendor relationships for clinical services (CROs, imaging core labs, data management platforms)

• Define and execute Nucs AI’s go-to-market strategy across pharmaceutical, clinical, and health system channels • Build and manage a qualified sales pipeline targeting pharma partners, imaging networks, academic medical centers, and independent imaging facilities • Develop and refine positioning, messaging, and value propositions tailored to each customer segment and deal size • Map market channels and develop segment-specific sales motions—understanding the distinct dynamics of pharma enterprise sales, hospital system procurement, and SMB clinical sales • Leverage AI tools, modern sales platforms, and innovative prospecting methods alongside traditional relationship-driven selling • Lead complex, multi-stakeholder enterprise sales cycles with pharmaceutical companies and large health systems from initial engagement through contract execution • Execute efficient, high-velocity sales processes for smaller clinical customers and imaging centers • Adapt deal structures, pricing models, and engagement approaches to match the scale and sophistication of each customer • Cultivate and maintain relationships with senior stakeholders at pharma companies, hospital systems, and key opinion leaders in nuclear medicine and oncology • Bring and activate an existing network of relationships across healthcare—doctors, hospital administrators, pharma executives, imaging center operators, and key opinion leaders • Represent Nucs AI at industry conferences, advisory boards, and partner meetings with executive presence and clinical credibility • Build Nucs AI’s commercial reputation through authentic, trust-based engagement—selling the big vision without making noise • Provide market intelligence on competitive landscape, customer needs, reimbursement trends, and emerging opportunities in theranostics and imaging AI • Partner with the medical and product teams to ensure customer insights feed directly into roadmap decisions • Collaborate with the Partnership Director on account strategy where sales and partnership relationships intersect • Work with leadership on pricing, partnership structures, and reimbursement strategy • Collaborate with the CEO to shape and evolve the commercial strategy as the company scales

• Own and grow Nucs AI’s portfolio of strategic partnerships with hospitals, academic medical centers, pharmaceutical companies, and imaging networks • Serve as the face of Nucs AI in partner relationships—embodying the company’s mission, values, and clinical credibility in every interaction • Develop and execute partnership strategies that drive clinical data access, product adoption, co-development opportunities, and revenue • Negotiate partnership agreements, data access arrangements, and collaboration frameworks in coordination with legal and medical teams • Take ownership of externally-facing projects and customer engagements—ensuring deliverables, timelines, and expectations are met or exceeded • Track partnership health metrics, project milestones, and deliverables; proactively identify and resolve risks before they become issues • Provide market intelligence and partner feedback to inform product roadmap, clinical strategy, and competitive positioning

• Design and implement core HR processes: onboarding, offboarding, performance management, and employee lifecycle management. • Establish compensation and benefits frameworks appropriate for an early-stage, globally distributed team. • Build and maintain HR policies and an employee handbook that reflect our values and comply with applicable regulations. • Partner with hiring managers to define roles, run structured interview processes, and close candidates. • Develop employer branding and recruiting strategies that attract top talent in MedTech and AI. • Implement retention strategies including engagement programs, growth frameworks, and feedback mechanisms. • Ensure compliance with employment laws across relevant jurisdictions (US, international contractors). • Advise leadership on organizational design, team structure, and workforce planning. • Champion a culture of transparency, accountability, and inclusion as the team grows.