Implementation Specialist

About Artos

At Artos, we build tools that help biopharma companies create and manage their R&D documentation in a fraction of the time. If you’re looking to join a team whose mission is to fundamentally change how drug development gets done, we’d love to talk.

We’re growing very fast, and we’re looking for a domain-expert technical product lead
—someone with a strong pharma background who can sit between engineering teams and end users, help implement our system in real customer environments, and translate deeply technical capabilities into workflows that actually make sense to scientists, medical writers, and regulatory teams.

This is not a traditional product manager role, and it is not a traditional medical writing role. It’s a hybrid: part domain architect, part technical translator, part customer-facing problem solver.

As a core member of Artos’s product team, you will act as the bridge between engineering and domain experts
.

Your primary responsibility will be to help design, implement, and evolve systems that generate and manage regulatory and R&D documentation—particularly in the non-clinical and/or CMC domains—by ensuring that domain reality is faithfully represented in the product.

You will work closely with:

• End users (medical writers, regulatory professionals, scientists) to understand how documents are actually authored, reviewed, and quality-controlled in practice
• Engineering teams to translate those workflows, constraints, and edge cases into system behavior
• Product leadership to shape feature scope, prioritization, and release readiness

You will help explain how the system works to users, collect feedback on where it breaks down, and communicate those insights back to engineering in a way that is precise, actionable, and technically useful.

This role is about systems, not just documents
.

You will:

• 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

You’ll work across a wide range of content: CTD modules, internal summaries, briefing packages, templates, and sponsor-facing deliverables. You don’t need to be an expert in every document type on day one—but you do need to be able to learn quickly and explain what you learn clearly.

This role is ideal for someone who:

• Comes from pharma or biotech and deeply understands regulatory documentation
• Is excited by product design and system thinking
  , not just writing
• Enjoys acting as a translator between technical and non-technical teams
• Wants to shape how AI systems behave in regulated environments

• 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

• Ability to analyze workflows and extract rules, patterns, and constraints
• Comfort reviewing structured or semi-structured system outputs (including AI-generated content)
• Ability to communicate clearly with engineers and product teams
• Willingness to be customer-facing and support implementation and feedback loops
• Familiarity with structured data formats (XML, JSON) is a plus
• Experience working with life sciences software tools is a plus
• Ability to operate independently in a fast-moving startup environment

• Very comfortable in a fast-paced, ambiguous startup environment
• Enjoys translating chaos into systems
• Likes matcha Kit Kats, believes every LLM prompt is Schrödinger’s cat waiting to be observed, and knows too many random facts about the Mongol postal system