Pharma Domain & Systems Lead — Product Bridge

Artos, Inc.; San Francisco, Northern (CA, KY); Hybrid; USD 140,000 - 210,000; Full time

Job summary

Artos, Inc. seeks a domain-expert technical product lead to bridge engineering and domain experts in regulatory R&D documentation, focusing on non-clinical and CMC domains.

You will translate complex domain rules into actionable product requirements and help implement Artos in customer environments. You will evaluate AI outputs for regulatory soundness, identify edge cases, and work with engineers to refine system behavior, all while interfacing with end users and stakeholders in a fast-moving

Qualifications

• 3+ years of experience in medical writing, regulatory affairs, or a closely related pharma role
• Direct experience drafting, reviewing, or overseeing CTD content (especially non-clinical) and/or CMC)
• Strong understanding of regulatory expectations across FDA, EMA, and ICH
• Experience working cross-functionally with regulatory, scientific, and technical stakeholders
• Strong written and verbal communication skills

Responsibilities

• Deconstruct how regulatory and R&D documents are authored, reviewed, and QC’d in real organizations
• Translate domain rules, conventions, and preferences into clear product and engineering requirements
• Help implement Artos in customer environments and support early adoption
• Evaluate AI-generated outputs for correctness, structure, and regulatory soundness
• Identify gaps, inconsistencies, and edge cases, and work with engineers to resolve them
• Help validate features ahead of release by stress-testing them against real-world use cases
• Communicate technical system behavior to non-technical users, and user needs back to engineers

Job description

Artos, Inc. seeks a domain-expert technical product lead to bridge engineering and domain experts in regulatory R&D documentation, focusing on non-clinical and CMC domains.

You will translate complex domain rules into actionable product requirements and help implement Artos in customer environments. You will evaluate AI outputs for regulatory soundness, identify edge cases, and work with engineers to refine system behavior, all while interfacing with end users and stakeholders in a fast-moving