Senior Technical Product Manager

🕒 August 7

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

⚒️ Technical Product Manager (TPM)

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Baylor Genetics

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 1978

🏥 Healthcare

💼 Consulting

🍽️ Food & Beverage

Healthcare • Consulting • Food & Beverage

Baylor Genetics is a clinical genomics and precision diagnostics laboratory affiliated with Baylor College of Medicine that provides comprehensive genetic testing and interpretation services. The company offers whole genome and whole exome sequencing, chromosomal microarray analysis, mitochondrial testing, pharmacogenomics, and specialized assays, along with genetic counseling, provider support, and insurance/payment resources. Baylor Genetics supports healthcare providers, researchers, and families with AI-enhanced interpretation, multimodal data integration, and end-to-end clinical and laboratory services.

📋 Description

• Translate market, customer, clinical, operational, and business requirements into technical requirements, solution concepts, user stories, acceptance criteria, and development plans • Act as the primary liaison among business stakeholders, product leadership, engineering, architecture, IT, bioinformatics/genomic technology, laboratory, R&D, digital products, customer experience, quality, and other partners • Develop and manage technical product requirements, user stories, acceptance criteria, feature backlogs, process flows, and implementation-ready documentation • Prioritize work based on customer value, business impact, operational needs, technical feasibility, risk, dependencies, and resource constraints • Collaborate across engineering, UX, quality, operations, laboratory, commercial, clinical, R&D, customer experience, and business teams throughout the product lifecycle • Support timely delivery, implementation, change readiness, adoption, and measurable value realization • Analyze product metrics, customer feedback, market trends, workflow data, system capabilities, technical constraints, and implementation tradeoffs • Evaluate solution options, document workflows, define integration needs, clarify system impacts, and surface risks and dependencies • Maintain expertise in clinical products, genetic testing workflows, bioinformatics/genomic technology, digital and operational systems, customer needs, competition, and market dynamics • Support rollout through documentation, stakeholder communication, testing, workflow readiness, adoption tracking, and post-implementation feedback • Monitor product performance and drive continuous improvement of internal and customer-facing workflows and solution quality

🎯 Requirements

• Bachelor’s degree in life sciences, genetics, bioinformatics, healthcare, business, or a related field • 10 years of experience in technical product management in diagnostics, genomics, or a related field • Experience in IT, R&D, or another technical field • Experience leading cross-functional teams or initiatives in a clinical, healthcare, laboratory, or regulated environment • Ability to translate clinical, market, customer, and partner insights into product requirements, technical solutions, and implementation and testing plans • Excellent communication, stakeholder management, analytical, and problem-solving skills • Equivalent combination of education and experience may be considered • Preferred: advanced degree such as MS, PhD, or MBA • Knowledge of internal systems, data flows, integrations, digital platforms, bioinformatics/genomic technology, laboratory workflows, and technical dependencies • Ability to manage roadmaps, feature backlogs, dependencies, sequencing, and prioritization • Ability to use product metrics, customer feedback, workflow data, operational indicators, quality measures, market insights, and technical constraints for product decisions