Software Engineering Manager, Lab Informatics Platform

Location: Emeryville, California, United States; hybrid with 2–3 days on-site

Hiring salary range: $180,000–$250,000 USD annually, plus equity participation.

Company

hirify.global is an AI biology company building foundation models for life’s molecules to advance medicine, agriculture, and protein design.

What you will do

• Lead, mentor, and grow a software engineering team focused on lab informatics, scientific data infrastructure, and scientist-facing applications.
• Own and communicate the roadmap for the lab informatics platform, balancing scientific impact, user needs, usability, scalability, and long-term data strategy.
• Architect systems for sample tracking, assay data capture, Benchling integration, lab automation, experimental metadata, and analysis workflows.
• Design data models for protein engineering and gene editing experiments, including constructs, samples, reagents, cell systems, assay results, metadata, and experimental lineage.
• Partner with scientists, automation engineers, data scientists, and ML researchers to define requirements, prioritize tradeoffs, and deliver scalable software solutions.
• Establish engineering and product practices covering architecture, technical design, code review, testing, CI/CD, documentation, adoption, metrics, and agile delivery.

Requirements

• 7+ years of software engineering experience, including at least 2 years managing or leading engineers.
• BS, MS, or PhD in Computer Science, Bioengineering, Computational Biology, or a related field.
• Experience architecting and delivering production-quality software systems through engineering teams.
• Proficiency with Python, backend development, databases, APIs, and modern software engineering workflows.
• Experience with scientific data platforms, LIMS integrations, research software, or scientist-facing applications, including data modeling and database design.
• Ongoing United States work authorization is required; employer sponsorship will not be provided.

Nice to have

• Experience with Benchling, lab automation, instrument data ingestion, sample tracking, or high-throughput experimental data.
• Experience with mammalian or bacterial cell systems, gene editing, protein engineering, or related biological workflows.
• Frontend web development experience and interest in building intuitive scientist-facing interfaces.

Culture & Benefits

• Opportunity to contribute to protein design and AI-driven biology.
• Competitive compensation with equity participation.
• 401(k) with a strong employer match.
• Health, dental, and vision insurance.
• Generous PTO, work-life balance, and professional development opportunities.

Hiring process

• Employment requires identity and work eligibility verification and completion of the required federal employment verification form.