Artos

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. The Role 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. What You’ll Actually Do 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. Who This Role Is For 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 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 Requirements 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 sof

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 the way that drug development gets done, we’d love to talk to you. We’re growing very fast right now, and we at Artos are looking for a hyper-talented, startup-minded person who can help us accelerate the development of a product that supports companies from innovative biotech startups to some of the largest pharmaceutical companies in the world in their mission to deliver life-saving treatments to patients faster than ever before. As a core member of Artos’s engineering team, you will play a critical role in developing, scaling, and expanding the Artos platform to help serve regulatory needs for pharma and life science companies around the globe. The Role Artos is looking for its first marketing hire to own the company's brand, content, and demand generation from the ground up. This is not a campaign management role. It is a first-principles, brand-building position that requires equal parts strategic thinking and hands-on execution. You will be the person who figures out how to communicate what Artos is building — to an industry that is skeptical of AI, fluent in regulatory science, and deeply conservative about the tools it trusts. That is a hard problem. We are looking for someone who finds it exciting. Responsibilities Own and evolve the Artos brand: voice, visual identity, messaging, and positioning Produce high-quality, multi-modal content — LinkedIn posts, long-form articles, whitepapers, case studies, product videos, and website copy — consistently and at pace Build and manage a content calendar anchored to product milestones, conferences, and industry moments Develop and execute SEO and GEO strategies so that Artos is discoverable when buyers are actively searching or querying AI assistants Plan and run paid digital advertising campaigns on LinkedIn and Google, with clear measurement and iteration loops Lead Artos's presence at industry conferences — speaker submissions, booth strategy, and side events Translate complex product architecture and technical differentiators into narratives that resonate with VP- and C-level buyers in regulatory affairs, medical writing, and digital strategy Partner directly with the CEO on thought leadership and market positioning Qualifications Required Experience working with or writing regulatory documents (CTD, IND, NDA, or equivalent). You understand the domain, the stakes, and the audience. Experience building or shipping AI-powered applications. Familiarity with how LLM systems are architected and how that architecture shapes user experience is essential — you do not need to be an engineer, but you need to think like a product person. Demonstrated experience building a brand, ideally from an early stage. You have gone from unknown to recognized and know what that process requires. Strong portfolio of multi-modal content: written, video, and visual. You produce work you are proud to attach your name to. Working knowledge of SEO, GEO (answer engine optimization), and paid digital advertising. You have a framework, have run campaigns, and can show results. A good eye for design. You can give clear creative direction and recognize when something is not ready. Nice to Have An existing audience or community in life sciences, regulatory affairs, or AI Prior experience at an early-stage startup (seed through Series B) Experience with marketing automation, CRM tools, or analytics platforms What We Offer Direct ownership of Artos's entire marketing function — no committees, no approval chains A seat at the table with the founding team from day one The opportunity to define how a category gets communicated at a pivotal moment in the company's growth Competitive compensation, equity, and benefits How to Apply If you are interested or know someone who might be, apply here on

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 the way that drug development gets done, we’d love to talk to you. We’re growing very fast right now, and we at Artos are looking for a hyper-talented, startup-minded medical writer who can help us accelerate the development of a product that supports companies from innovative biotech startups to some of the largest pharmaceutical companies in the world in their mission to deliver life-saving treatments to patients faster than ever before. As a core member of Artos’s product team, you will play a critical role in developing the Artos platform, embedding AI systems with domain expertise, evaluating content quality, and interfacing with technical teams to improve the product. The Role At Artos, you will not be in a traditional medical writing position. We are on a mission to change the way that documentation is created and managed in drug development companies. You will primarily be responsible for helping design the systems that write documents that these companies produce, particularly in the non-clinical and/or CMC domains. While deep regulatory writing knowledge is essential, your primary focus will be on deconstructing how documents are authored, reviewed, and quality-controlled—then working with engineers and product teams to build those heuristics into our AI platform and verify features ahead of release. Your objective is to help the system generalize the principles behind medical writing and ensure the system follows those principles: which content goes where, how it should be structured, and why certain patterns are preferred. You will evaluate AI-generated content, identify inconsistencies or edge cases, and guide product decisions based on domain insight. You’ll work across the full landscape of R&D documentation—not just the Common Technical Document (CTD), but also supporting content like internal summaries, briefing packages, templates, and sponsor-facing outputs. We don’t expect you to know how to write all of these documents, but we do expect that you will learn how to do so—and how to communicate those learnings to a deeply technical engineering audience—very quickly. Qualifications 3+ years of medical writing experience in regulatory affairs Direct experience drafting or reviewing a wide range of CTD documents (specifically non-clinical and CMC documents) Understanding of the structure, purpose, and regulatory expectations for each major CTD document type Experience reviewing documents for compliance with FDA, EMA, and ICH guidelines Strong writing, editing, and documentation skills Strong QC capabilities Experience working cross-functionally with regulatory teams and subject matter experts Requirements Ability to analyze new document types and quickly learn relevant structures and content expectations Ability to extract and document rules, patterns, and logic used in regulatory writing Ability to review structured content or interpret output from AI-powered systems Comfort communicating feedback to technical stakeholders (e.g., engineers, product teams) Familiarity with structured content formats such as XML or JSON is preferred Experience working in or with life sciences software tools is a plus Ability to work independently and manage multiple writing and review tasks in parallel Other Information Very comfortable working in a fast-paced and intense startup environment Likes matcha KitKats, believes every LLM prompt is just Schrodinger’s cat waiting to be observed, and knows too many random facts about the Mongol postal system

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 the way that drug development gets done, we’d love to talk to you. We’re growing very fast right now, and we at Artos are looking for a hyper-talented, startup-minded engineer who can help us accelerate the development of a product that supports companies from innovative biotech startups to some of the largest pharmaceutical companies in the world in their mission to deliver life-saving treatments to patients faster than ever before. As a core member of Artos’s engineering team, you will play a critical role in developing, scaling, and expanding the Artos platform to help serve regulatory needs for pharma and life science companies around the globe. Qualifications Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field (or equivalent practical experience) 3+ years of software development experience, with a focus on building and deploying AI/ML applications Strong backend engineering experience, including: Building APIs from the ground up using Python frameworks such as FastAPI and Django Deploying and scaling containerized applications in cloud environments (e.g., AWS, GCP, Azure) Implementing CI/CD pipelines (e.g., GitHub Actions) Working with Infrastructure-as-Code tools such as Terraform or Pulumi Hands-on experience building LLM-based applications, including: Designing multi-step LLM workflows and task-specific agents Experience working with most frontier models (e.g. OpenAI, Anthropic, Google, etc…) Experience with AI tools as a user, specifically AI code editors Developing advanced prompt engineering strategies, evaluation frameworks, and RAG pipelines Conducting technical R&D to explore and define the boundaries of model functionality Familiarity with secure coding practices, ideally in regulated industries (e.g., life sciences, healthcare, fintech) Experience working in or adjacent to regulated domains (life sciences, clinical R&D) is a plus Frontend development experience (e.g., React) is a plus, but not required Requirements Ability to design and maintain scalable, production-grade backend systems for AI applications Ability to create, orchestrate, and evaluate LLM-based agents and chained workflows with minimal oversight Ability to debug and improve LLM-driven systems, identifying issues across multiple layers (model output, API behavior, system logic) Ability to conduct rapid experimentation and research on LLM capabilities and translate findings into production functionality Ability to stay current with emerging practices, models, and tooling in the generative AI ecosystem and apply them pragmatically Ability to communicate clearly with technical and non-technical collaborators (e.g., product managers, medical writers, customer teams) Ability to operate effectively in a fast-paced, ambiguity-heavy environment, managing shifting priorities and novel problem spaces Other Information Very comfortable working in a fast-paced and intense startup environment Willing to work in-person in our office in Mission Bay 4-5 days/week Likes matcha KitKats, believes every LLM prompt is just Schrodinger’s cat waiting to be observed, and knows too many random facts about the Mongol postal system

About Artos At Artos, we build tools that help biopharma companies create and manage their regulatory submissions in a fraction of the time. If you’re looking to join a team whose mission is to fundamentally change the way that drug development gets done, we’d love to talk to you. Demand from our customers is expanding rapidly, and we at Artos are looking for a hyper-talented, startup-minded engineer who can help us accelerate the development of a product that supports companies from innovative biotech startups to some of the largest pharmaceutical companies in the world in their mission to deliver life-saving treatments to patients faster than ever before. As a core member of Artos’s engineering team, you will play a critical role in developing, scaling, and expanding the Artos platform to help serve regulatory needs for pharma and life science companies around the globe. Qualifications Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. Equivalent practical experience will also be considered. 3+ years of professional experience developing web applications, ideally for enterprise SaaS platforms. Strong expertise in modern frontend development, including: React (with Hooks and modern patterns) TypeScript JavaScript (ES6+) Responsive design, accessibility, and cross-browser compatibility Proven experience building complex, production-grade UIs that integrate with backend APIs and handle large volumes of data. Experience working with design systems and component libraries (e.g., Storybook, MUI, Tailwind). Familiarity with frontend performance optimization, profiling, and debugging tools. Comfortable working in an environment that uses CI/CD pipelines (e.g., GitHub Actions) and modern Git workflows. Exposure to containerized development environments (e.g., Docker) and understanding of cloud platforms (AWS, Azure, or GCP) is a plus. Experience collaborating closely with product, design, and backend teams in an agile development environment. Bonus: Experience integrating frontend applications with GenAI-based APIs or understanding of LLM product design patterns. Bonus: Experience with regulated industries (e.g., life sciences, healthcare, or fintech) or familiarity with secure coding practices. Bonus: Interest or experience in building tools for document automation, data pipelines, or AI/ML applications. Requirements Ability to build and maintain responsive, accessible, and performant frontend applications using React and TypeScript Proficiency in modern JavaScript (ES6+), state management patterns, and component design best practices Ability to design intuitive interfaces that support complex user workflows, particularly for enterprise SaaS applications Ability to integrate with backend APIs and handle structured data (e.g., JSON, GraphQL, Protobuf) efficiently and securely Ability to work closely with product and design teams to translate user needs into functional and polished UI/UX Ability to learn and adapt to emerging frontend patterns for LLM-based systems, including prompt builders, chat UIs, and real-time feedback loops Ability to debug UI and performance issues across browsers and platforms, and propose scalable solutions Ability to stay current with best practices in frontend engineering and apply them thoughtfully in a production environment Ability to communicate clearly across functions, including with backend engineers, product managers, and non-technical stakeholders Ability to manage ambiguity in requirements and iterate quickly in a high-velocity, startup setting Other Information Very comfortable working in a fast-paced and intense startup environment Willing to work in person in our office in Mission Bay 4-5 days/week Likes matcha KitKats, believes every LLM prompt is just Schrodinger’s cat waiting to be observed, and knows too many random facts about the Mongol postal system

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 the way that drug development gets done, we’d love to talk to you. We’re growing very fast right now, and we at Artos are looking for a hyper-talented, startup-minded engineer who can help us accelerate the development of a product that supports companies from innovative biotech startups to some of the largest pharmaceutical companies in the world in their mission to deliver life-saving treatments to patients faster than ever before. As a core member of Artos’s engineering team, you will play a critical role in developing, scaling, and expanding the Artos platform to help serve regulatory needs for pharma and life science companies around the globe. Qualifications Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Equivalent relevant work experience may be considered in place of a degree. 3+ experience in software development, with a strong background in building AI/ML applications. Backend Software Development Experience, including: Experience building GenAI applications, with extensive, hands-on experience with complex prompt engineering, GenAI-driven data pipelines, evaluation/benchmarking frameworks, and RAG. Experience building APIs from the ground up using modern Python frameworks (FastAPI, Django, etc). Experience in deploying and scaling containerized applications in enterprise customer cloud environments. Experience building CI/CD pipelines for production backend applications using any tools (GitHub Actions, CodePipeline, CircleCI, etc) Experience with Infrastructure-as-Code tools like Terraform or Pulumi is a plus Experience with the above via cloud services (e.g. AWS, Azure, GCP), especially AWS, is a plus. Experience with secure coding practices, ideally from a regulated industry (e.g. fintech, life sciences) Experience with frontend development in React is a plus. Knowledge of regulatory requirements in the life sciences industry is a plus. Willingness to learn is a necessity. Requirements Ability to design, build, and maintain scalable backend systems in a production environment Proficiency in building APIs and services using modern Python frameworks (e.g., FastAPI, Django) Ability to work with containerized applications and cloud infrastructure (e.g., Docker, AWS, Terraform) Experience implementing CI/CD pipelines and debugging systems in production Ability to rapidly learn and apply new techniques in LLM development, including prompt engineering, fine-tuning, and retrieval-augmented generation (RAG) Ability to stay current with emerging best practices in generative AI and apply them pragmatically to product needs Ability to communicate complex technical issues and design decisions clearly to both technical and non-technical audiences Ability to collaborate effectively across teams, including product managers, medical writers, and customer success Ability to reason through ambiguous requirements, propose technical solutions, and execute quickly without extensive oversight Strong debugging skills across multiple system layers (application logic, model behavior, APIs, infrastructure) Other Information Very comfortable working in a fast-paced and intense startup environment Willing to work in-person in our office in Mission Bay 4-5 days/week Likes matcha KitKats, believes every LLM prompt is just Schrodinger’s cat waiting to be observed, and knows too many random facts about the Mongol postal system