Genomics Software Product Manager

Tempus AI; United States; Remote; USD 85,000 - 110,000; Full time

Job summary

Ambry Genetics is seeking a Technical Product Manager to partner with the Integration Engineering team. You will own the software lifecycle for Genomic Tertiary Analysis and Reporting tools, translating complex clinical genetics needs into actionable requirements and Jira tickets.

You’ll guide SDLC from discovery through validation and report status to stakeholders. The role bridges clinical genetics, bioinformatics, and software engineering, driving vision, intake, and execution for variant

Qualifications

• Bachelor’s degree in CS or related field.
• 3+ years in technical product management or related role.
• Strong written and verbal communication.
• Experience using JIRA.
• Knowledge of AGILE/SCRUM and SDLC.

Responsibilities

• Write clear user stories documenting functional and technical requirements with stakeholders and PMs.
• Collect, synthesize, and document artifacts to clarify software specs for teams.
• Research and solve software issues with stakeholders and technical team.
• Report project status to PMO, product managers and lead TPM.
• Develop solutions with leads/subject matter experts aligning to business goals.
• Identify upstream/downstream impact with other TPMs.
• Coordinate with QAs to test features against requirements during validation.
• Coordinate change control protocols for production deployments.

Skills

Communication skills

JIRA proficiency

SDLC knowledge

Agile SCRUM

Requirements gathering

Use case documentation

Software product management

Education

Bachelor’s degree in Computer Science, Biomedical Sciences, Molecular Biology, Genetics

Tools

JIRA

Job description

Ambry Genetics is seeking a Technical Product Manager to partner with the Integration Engineering team. You will own the software lifecycle for Genomic Tertiary Analysis and Reporting tools, translating complex clinical genetics needs into actionable requirements and Jira tickets.

You’ll guide SDLC from discovery through validation and report status to stakeholders. The role bridges clinical genetics, bioinformatics, and software engineering, driving vision, intake, and execution for variant