
51 - 200 Mitarbeiter
Gegründet 1995
💳 Fintech
💸 Finanzen
Fintech • Finance
X, LLC ist ein Early-Stage-Venture-Unternehmen, das führende und syndizierte Seed- und andere frühe Finanzierungsrunden leitet. Es widmet Kapital und praktische Expertise einem konzentrierten Portfolio von Unternehmen. Die Website der Firma betont "FINTECH FORWARD," vermerkt mehrere Portfolio-Exits und listet Partner (Hannah C. und Abhi T. ) sowie ein LP-Portal auf – dies weist auf eine Fond-und-Limited-Partner-Struktur hin, die sich auf Fintech-Investitionen konzentriert.
🕒 vor 12 Tagen
🇬🇧 Vereinigtes Königreich – Remote
⏰ Vollzeit
🟡 Mittelstufe
🟠 Senior
💸 Vertriebsingenieur
👻 Geisterscore 25%
🗣️🇺🇸🇬🇧 Englisch erforderlich
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51 - 200 Mitarbeiter
Gegründet 1995
💳 Fintech
💸 Finanzen
Fintech • Finance
X, LLC ist ein Early-Stage-Venture-Unternehmen, das führende und syndizierte Seed- und andere frühe Finanzierungsrunden leitet. Es widmet Kapital und praktische Expertise einem konzentrierten Portfolio von Unternehmen. Die Website der Firma betont "FINTECH FORWARD," vermerkt mehrere Portfolio-Exits und listet Partner (Hannah C. und Abhi T. ) sowie ein LP-Portal auf – dies weist auf eine Fond-und-Limited-Partner-Struktur hin, die sich auf Fintech-Investitionen konzentriert.
• Lead structured technical discovery sessions with bioinformaticians, genomics scientists, clinical data teams, and IT/infrastructure stakeholders • Uncover pipeline bottlenecks, data storage costs, scalability limits, reproducibility challenges, and compliance requirements • Map WGS, WES, RNA-seq, single-cell, long-read, and clinical variant interpretation workflows to platform capabilities • Build trusted advisor relationships with technical and scientific buyer personas • Deliver tailored, workflow-specific platform demonstrations • Design and execute proof-of-concept evaluations, including scoping experiments, defining success criteria, owning technical execution, and presenting results • Build custom demo environments using real or synthetic genomics datasets • Manage PoC timelines, typically 4–8 weeks, and drive technical win or structured no-go decisions • Own technical responses to RFIs, RFPs, and security questionnaires • Address data sovereignty, cloud architecture, pipeline portability, FAIR data principles, and audit trail requirements • Present platform architecture to CTO, CISO, and Head of Bioinformatics-level stakeholders • Translate customer technical requirements into structured product feature requests • Support technical handoffs to Customer Success post-close • Collaborate with Marketing on white papers, solution briefs, conference demos, and webinars • Mentor junior presales and sales engineers and maintain demo assets, PoC playbooks, and objection-handling guides • Represent TriNetX at industry conferences and scientific symposia • Track competitors and maintain competitive battlecards • Contribute to technical blog posts, case studies, and documentation
• BSc minimum in Bioinformatics, Computational Biology, Genomics, Computer Science, or a related quantitative life-science discipline • 5+ years in a technical presales, solutions engineering, field application scientist, or senior bioinformatics consultant role, ideally within a life sciences software, cloud genomics, or NGS tools company • Hands-on experience with NGS data analysis, including variant calling, RNA-seq, somatic mutation analysis, structural variant detection, or single-cell pipelines • Practical familiarity with Nextflow, Snakemake, or WDL/Cromwell • Comfort discussing pipeline portability, reproducibility, and container strategies using Docker/Singularity • Exceptional written and verbal communication • Ability to command a room of PhDs, navigate a CTO conversation, and write concise technical proposals • Experience with a structured B2B enterprise sales process such as MEDDIC/MEDDPICC or equivalent • Ability to qualify opportunities, manage stakeholder maps, and drive evaluations to close • Experience in clinical genomics environments, GxP, CAP/CLIA, or CE-IVD compliance contexts preferred • Familiarity with tertiary analysis tools, clinical variant interpretation platforms, oncology genomics reporting, or pharmacogenomics pipelines preferred • Experience with multi-omics integration preferred • Exposure to federated data architectures, data mesh concepts, or secure research environments preferred • Prior involvement in commercial negotiations, procurement processes, or enterprise contract structures preferred • Track record of contributing to open-source bioinformatics tools, scientific publications, or conference presentations preferred
• Equal Opportunity Employer • Employer participation in E-Verify
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