Manager, Forward Deployed Engineer (Life Sciences)

TL;DR

Manager, Forward Deployed Engineer (Life Sciences): Leading a team of FDEs to deliver and deploy production AI systems across drug discovery and development workflows with an accent on balancing scope, speed, robustness, and risk in high-stakes deployments. Focus on setting technical direction, contributing to production systems, and guiding teams through ambiguous, multi-workstream engagements.

Location: Hybrid (San Francisco, 3 days/week in office). Relocation assistance offered to San Francisco, USA.

Salary: $252,000–$335,000 + Offers Equity

Company

hirify.global is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity.

What you will do

• Lead and grow a team of FDEs delivering production AI systems in regulated life sciences environments.
• Be accountable for your team’s end-to-end delivery outcomes, balancing scope, speed, robustness, and risk.
• Coach and develop engineers, setting high technical standards and clear expectations.
• Operate as a player-coach, directly contributing to production systems and setting technical direction.
• Guide teams through ambiguous, multi-workstream engagements across various stakeholders.
• Run evaluation loops to measure model and system quality against scientific benchmarks and provide roadmap input.

Requirements

• 8+ years of engineering or technical delivery experience, including 2+ years managing customer-facing or systems-oriented engineering teams.
• Led complex, high-pressure technical programs from prototype through sustained production use in regulated environments.
• Experience working in or adjacent to life sciences R&D, clinical research, scientific software, or regulated scientific data environments.
• Ability to write and review production-grade code and guide architectural decisions across backend, data, and ML-adjacent systems.
• Translate scientific and technical tradeoffs into clear delivery plans, risk posture, and measurable outcomes.
• Elevate team performance through clarity, judgment, and technical credibility.

Culture & Benefits

• Hybrid work model: 3 days in the office per week in San Francisco.
• Dedicated to ensuring general-purpose artificial intelligence benefits all of humanity.
• Committed to providing reasonable accommodations to applicants with disabilities.
• Focus on safety and human needs at the core of AI creation.
• Relocation assistance is offered.