Genomenon, Inc

• Own strategic sales of genomic and RWE data solutions to pharmaceutical and biotech companies. • Identify, engage, and grow relationships with Clinical Development, Medical Affairs, Regulatory, and Diagnostic teams. • Collaborate closely with scientific, customer success, marketing, and product teams for high-impact solutions.

• Own end-to-end marketing strategy for the Clinical Diagnostics channel, covering Mastermind, CKB, and the future ClinDx product portfolio • Design and execute ABM strategy for named clinical lab accounts (hospital labs, reference labs, molecular labs), in partnership with the ABM Coordination Lead • Build and run partner marketing programs with Illumina, Tempus, Sophia Genetics, and ecosystem partners: joint webinars, co-branded content, MDF management, marketplace presence, and integration launch GTM • Own messaging, positioning, and product marketing for Mastermind PRO and CKB, including the CKB FDA recognition milestone moment and the Mastermind Next-Gen API launch • Drive demand generation and own pipeline accountability for the ClinDx channel • Develop sales enablement for the ClinDx sales team in partnership with the VP of Sales and clinical AEs • Set conference strategy for AMP, ACMG, AACC, CAP, and partner events • Own the Labs journey hub on the rebuilt website (live June 30, 2026): content, conversion, and ongoing optimization • Build and maintain the library of lab references and case studies; develop expansion plays into existing Mastermind and CKB customers • Directly supervise one CKB-focused marketing consultant and lead without authority across shared design, content, web, and events resources

• Perform complex and high-priority variant interpretation, including cases with conflicting clinical and functional evidence • Apply ACMG/AMP guidelines to ensure accurate, consistent, and defensible classifications • Evaluate clinical and functional literature to support interpretation decisions • Ensure interpretations are clinically relevant and aligned with real-world use cases • Contribute to high-impact client deliverables across clinical and pharmaceutical contexts • Apply QA/QC standards across variant interpretation workflows • Ensure consistent use of internal frameworks, HGVS nomenclature, and interpretation criteria • Support data quality efforts, including review of external data (e.g., ClinVar) and discrepancy identification • Contribute to refinement of SOPs, QA processes, and workflows • Identify quality gaps or inconsistencies and propose improvements • Support scalable approaches to interpretation as volume and complexity grow

• Serve as the final scientific authority for complex or ambiguous variant interpretation cases, including conflicting clinical and functional evidence • Apply deep expertise in ACMG/AMP guidelines to ensure accurate and defensible classifications • Leverage clinical experience to contextualize variant interpretations and ensure clinical relevance and applicability • Guide evaluation of functional studies and literature to support high-confidence interpretation decisions • Support high-impact client deliverables, including clinical and pharmaceutical use cases • Own QA/QC standards across all variant interpretation workflows • Ensure consistent application of internal frameworks, nomenclature standards (HGVS), and interpretation criteria • Oversee external data quality, including ClinVar submissions and discrepancy resolution • Manage, mentor, and develop a team of QA scientists and curators • Provide coaching on interpretation, evidence evaluation, and best practices • Set clear performance expectations and maintain accountability for quality standards • Design, implement, and continuously improve SOPs, QA processes, and workflows • Identify systemic quality issues and lead solutions that scale across teams and projects • Balance standardization with flexibility to meet diverse client and product needs • Partner with product, engineering, and leadership to improve tools, workflows, and data quality • Contribute to broader data and product strategy through scientific expertise

• Own and execute Genomenon’s commercial strategy for the clinical genomics segment. • Identify new growth opportunities across Clinical Commercial Labs, health systems, and precision medicine programs. • Personally close complex enterprise deals while setting the standard for clinical sales. • Carry an individual enterprise quota with primary responsibility for net-new logo acquisition and expansion. • Lead complex, multi-stakeholder enterprise sales cycles from prospecting through close. • Navigate clinical, operational, and executive stakeholders including lab leadership, variant interpretation teams, and molecular pathology leaders. • Coach sellers on discovery, qualification, and consultative enterprise selling.

• Execute full-cycle sales efforts, including outbound prospecting, opportunity development, deal execution, and account expansion • Own and grow assigned accounts while actively identifying and closing net-new customers • Build, manage, and close a robust sales pipeline to achieve monthly, quarterly, and annual revenue goals • Create and execute account and territory strategies that balance new customer acquisition with long-term account growth • Develop and execute regional sales plans aligned with company growth objectives • Support and collaborate with channel partners to generate new sales opportunities and expand existing relationships • Deliver accurate sales forecasts and maintain clear visibility into pipeline health • Track and manage the sales process through all stages in the CRM, ensuring consistent metrics and performance reporting • Represent Genomenon at conferences, industry events, and corporate meetings as required • Contribute to broader company initiatives and perform additional duties as needed to support Genomenon’s mission

• Set and drive product vision, roadmap, and quarterly priorities for our AI-driven real-world evidence products and expert-curated biomedical datasets • Lead planning and execution across the full product lifecycle (discovery → requirements → build → launch → iteration) • Align stakeholders and make tradeoffs across scale, speed, scientific rigor, and customer trust • Guide the work of a small, high-performing AI team and ensure engineering has clear, actionable requirements and success metrics • Evolve our hybrid model that combines AI and expert curation to meet pharma customer needs

• Lead the hands-on technical development of Genomenon’s clinical genetics software, including commercial applications (UI, APIs, and data deliverables) and internal tools supporting genetic curation • Act as a senior individual contributor and technical lead, spending a significant portion of time writing, reviewing, and shipping production code • Serve as the technical lead partner to Product, collaborating on strategic vision, functional requirements, roadmap definition, and sprint planning • Manage and mentor a small, high-impact engineering team (approximately 3 developers), with a focus on technical growth, code quality, and delivery rather than people administration • Design, implement, and review performant, maintainable user interfaces with a strong emphasis on modern UI engineering using React • Build and maintain backend services and APIs using Python and GO, supporting both user-facing applications and downstream data workflows • Develop and maintain CLI scripts, internal tools, and lightweight automation workflows to support engineering, data, and clinical operations • Contribute to system architecture and design decisions as platforms evolve to incorporate AI-derived data, new APIs, and scalable backend services • Establish and reinforce best practices around code quality, testing, documentation, and operational reliability across frontend and backend systems • Balance near-term delivery with long-term technical strategy, proactively identifying opportunities to reduce technical debt and improve scalability • Collaborate closely with data science, clinical curation, DevOps, and product stakeholders to ensure solutions are robust, practical, and well understood