Lead Content Designer

📍 Job Overview

Job Title: Lead Content Designer

Company: Jobgether (on behalf of a partner company)

Location: United States

Job Type: Full-time

Category: Content Design / UX Writing / Conversational AI

Date Posted: 2026-05-06

Experience Level: 8-10 years

Remote Status: Remote OK

🚀 Role Summary

• Lead content strategy and design for AI-powered conversational experiences within digital healthcare products, ensuring safe, accurate, and human-centered interactions.

• Shape user interactions with complex health products through clear, empathetic, and system-level content design, directly impacting user health outcomes.

• Act as a strategic leader defining content direction, voice and tone systems, and scalable content design frameworks across major product areas.

• Collaborate closely with product, engineering, clinical, and AI teams to bring clarity and trust to regulated healthcare experiences, focusing on generative AI communication frameworks.

📝 Enhancement Note: This role is a hybrid of hands-on content creation and strategic leadership, with a significant emphasis on designing AI-driven conversational experiences in a regulated healthcare environment. The "Lead" title suggests mentorship and influence over content design practices within the organization.

📈 Primary Responsibilities

• Lead content strategy across major product areas, aligning user needs with business, product, and clinical objectives.

• Define and evolve content standards, voice and tone systems, and scalable content design frameworks across the organization.

• Design and lead conversation flows for AI-powered chatbots and virtual assistants, including intents, dialogue structures, error handling, and escalation paths.

• Partner with AI, clinical, legal, and engineering teams to develop safe and effective generative AI communication frameworks for regulated healthcare environments.

• Establish governance models for AI-generated content, including evaluation criteria, quality standards, and feedback loops with product and model teams.

• Plan and craft UX copy for complex mobile and web experiences, including high-stakes healthcare user journeys.

• Facilitate cross-functional workshops, influencing product direction through content-driven insights and storytelling.

• Apply user research, usability findings, and product analytics to inform content strategy and improve product outcomes.

• Collaborate in Figma and contribute to the evolution of shared content design systems.

• Mentor and support content designers while contributing to hiring and knowledge-sharing initiatives across the team.

📝 Enhancement Note: The responsibilities highlight a strong focus on AI/ML integration, particularly in conversational AI and generative AI within a healthcare context. This requires not only creative writing but also a deep understanding of AI capabilities, risks, and ethical considerations in regulated industries.

🎓 Skills & Qualifications

Education: Bachelor’s degree in Communications, English, Journalism, or a related field, or equivalent experience.

Experience: 8–10 years of experience in content design, UX writing, or related disciplines.

Required Skills:

• Proven expertise in conversation design, including writing dialogue flows, intents, responses, and system behaviors for AI or chatbot experiences.

• Working knowledge of generative AI and large language models, including prompt design, output evaluation, and awareness of risks in regulated contexts.

• Experience collaborating with conversational AI platforms and integrating content design into AI system workflows.

• Strong portfolio demonstrating UX writing, content strategy, and system-level thinking across complex products.

• Deep understanding of UX principles, accessibility standards, and information architecture.

• Proficiency with Figma and experience working in Agile/Scrum environments.

• Exceptional writing, editing, and storytelling skills with the ability to simplify complex concepts.

• Strong stakeholder management skills and experience leading cross-functional initiatives.

Preferred Skills:

• Strong experience in digital health, wellness, or similarly complex regulated environments is preferred.

• Experience applying user research and product analytics to inform content strategy.

📝 Enhancement Note: The requirement for "working knowledge of generative AI and large language models" is crucial. Candidates should be prepared to discuss their understanding of prompt engineering, AI output evaluation, and the specific risks associated with AI in healthcare. The preference for digital health experience is also a key differentiator.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Demonstrate a strong portfolio showcasing UX writing, content strategy, and system-level thinking applied to complex product ecosystems.

• Include examples of designing and leading conversation flows for AI or chatbot experiences, highlighting dialogue structures and system behaviors.

• Present case studies that illustrate the application of user research, usability findings, and product analytics in informing content strategy and improving outcomes.

• Showcase experience with Figma and contributions to the evolution of shared content design systems.

Process Documentation:

• Provide evidence of defining and evolving content standards, voice and tone systems, and scalable content design frameworks.

• Detail experience in establishing governance models for AI-generated content, including evaluation criteria and quality standards.

• Showcase examples of facilitating cross-functional workshops to influence product direction through content-driven insights.

• Illustrate the application of UX principles, accessibility standards, and information architecture in past projects.

📝 Enhancement Note: The portfolio should strongly emphasize experience with AI, especially conversational AI and generative AI. Candidates need to demonstrate not just writing skills but also strategic thinking around AI product development and governance within a regulated sector. System-level thinking and collaboration in Figma are also key.

💵 Compensation & Benefits

Salary Range: $135,000 - $165,000 per year.

Benefits:

• Competitive base salary.

• Performance-based bonus eligibility.

• Comprehensive benefits package including healthcare coverage and wellness support programs.

• Flexible Vacation Policy supporting rest and personal time.

• 80 hours of paid sick, safe, and caregiver leave annually (full-time employees).

• Inclusive, innovation-driven work culture focused on collaboration and impact.

• Opportunities for professional growth, leadership development, and career advancement.

• Remote-friendly and flexible work arrangements.

Working Hours: Standard 40 hours per week, with flexibility indicated by "Remote-friendly and flexible work arrangements."

📝 Enhancement Note: The salary range of $135,000-$165,000 for a Lead Content Designer in the US aligns with industry benchmarks for experienced professionals in specialized fields like AI and healthcare UX. The benefits package is comprehensive, emphasizing work-life balance and professional development, which are attractive to senior-level operations and design professionals.

🎯 Team & Company Context

🏢 Company Culture

Industry: Digital Healthcare / Health Technology / AI.

Company Size: Not explicitly stated, but the presence of AI, clinical, legal, and engineering teams suggests a well-established company or a rapidly growing startup with significant funding.

Founded: Not specified, but the focus on emerging AI-driven experiences implies a forward-thinking organization.

Team Structure:

• The role operates at the intersection of Content Design, Product Design, Engineering, Clinical, and AI teams.

• This implies a highly collaborative, cross-functional structure where content strategy influences product development from inception.

Methodology:

• Data-driven approach utilizing user research, usability findings, and product analytics to inform strategy.

• Emphasis on Agile/Scrum methodologies for product development.

• Focus on system-level thinking and the evolution of content design systems.

• Collaborative workshop facilitation to drive product decisions.

Company Website: jobgether.com (Jobgether is the platform posting on behalf of a partner company; the partner's website is not provided).

📝 Enhancement Note: The partner company likely operates in a dynamic, regulated sector (digital health) and is actively investing in AI and conversational interfaces. This suggests a culture valuing innovation, data-informed decision-making, and strong cross-functional collaboration, typical of modern tech companies in specialized fields.

📈 Career & Growth Analysis

Operations Career Level: Lead. This indicates a senior individual contributor role with leadership and mentorship responsibilities. It requires a blend of strategic thinking, hands-on execution, and influencing product direction.

Reporting Structure: Likely reports to a Director or Head of Product Design, Content Design, or UX. The role involves mentoring junior designers and collaborating closely with peers in Product Management, Engineering, and AI.

Operations Impact: The content designer's work directly impacts user health outcomes, product effectiveness, and user trust in regulated healthcare technologies. This role has a high degree of influence on the user experience and the safety of AI-driven interactions.

Growth Opportunities:

• Operations Skill Advancement: Deepen expertise in conversational AI design, generative AI applications in regulated industries, and content strategy for complex platforms.

• Leadership Development: Develop mentorship skills, lead strategic content initiatives, and potentially grow into a management role overseeing a content design team.

• Industry Specialization: Become a recognized expert in UX for digital health and AI-driven healthcare solutions.

• Cross-functional Influence: Gain experience shaping product roadmaps and influencing engineering and AI development through content expertise.

📝 Enhancement Note: For a "Lead" role, growth typically involves expanding strategic influence, mentoring capabilities, and potentially moving into management. The specific domain of digital health and AI offers specialized career paths that are in high demand.

🌐 Work Environment

Office Type: The job is listed as "Remote OK" and the company offers "Remote-friendly and flexible work arrangements." This suggests a distributed workforce or a hybrid model where remote work is prioritized.

Office Location(s): United States. This broad location implies that candidates can be based anywhere within the US, provided they can work effectively remotely and potentially participate in occasional in-person meetings if required by the partner company.

Workspace Context:

• A remote-first or remote-friendly environment, emphasizing asynchronous communication and digital collaboration tools.

• Access to standard design and collaboration software like Figma.

• Opportunities for virtual collaboration through workshops and team meetings.

• Potential for occasional travel for team offsites or critical project meetings, though not explicitly stated.

Work Schedule: While a standard 40-hour work week is implied, the "flexible work arrangements" suggest autonomy in managing work hours to accommodate project needs and personal life, common in remote roles.

📝 Enhancement Note: The remote nature of the role requires strong self-discipline, excellent asynchronous communication skills, and the ability to build relationships virtually. Candidates should be comfortable with digital collaboration tools and managing their own workflow.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: Likely includes an AI-powered review by Jobgether, followed by a screening call with a recruiter or hiring manager to assess basic qualifications and cultural fit.

• Portfolio Review: A critical stage where candidates present their portfolio, focusing on UX writing, content strategy, conversation design, and AI experience. Be prepared to walk through specific case studies demonstrating system-level thinking and impact.

• Skills Assessment/Challenge: May involve a take-home assignment or a live exercise focusing on content design for an AI-driven healthcare scenario, or a design workshop simulation.

• Cross-functional Interviews: Discussions with Product, Engineering, Clinical, and AI team members to assess collaboration skills, technical understanding, and ability to navigate regulated environments.

• Final Interview: Likely with senior leadership to discuss strategic vision, leadership potential, and final fit.

Portfolio Review Tips:

• Highlight AI & Healthcare: Prioritize projects demonstrating your experience with conversation design, generative AI, and complex regulated industries like healthcare.

• Showcase System Thinking: Include examples that illustrate how you’ve designed content systems, governance models, or scaled content across products.

• Quantify Impact: Whenever possible, use data and metrics to demonstrate the positive impact of your content on user outcomes, engagement, or product effectiveness.

• Detail Collaboration: Explain your role in cross-functional teams, how you facilitated workshops, and how you influenced product decisions through content.

• Figma Proficiency: Be ready to discuss your contributions to design systems within Figma.

Challenge Preparation:

• Scenario-Based Design: Practice designing conversation flows and UX copy for hypothetical AI-driven healthcare scenarios, considering safety, accuracy, and user trust.

• AI Ethics & Risk: Be prepared to discuss the ethical considerations and potential risks of AI in healthcare, and how your content design mitigates them.

• Simplification: Practice explaining complex medical or technical information in clear, accessible language.

• Stakeholder Communication: Prepare to articulate your content strategy and design decisions clearly to diverse stakeholders (technical, clinical, business).

📝 Enhancement Note: This role is highly specialized. The interview process will heavily scrutinize candidates' experience with AI, particularly conversational AI and generative AI, within the stringent requirements of the healthcare sector. A strong portfolio showcasing these specific skills is paramount.

🛠 Tools & Technology Stack

Primary Tools:

• Figma: Essential for collaborative design, prototyping, and contributing to design systems.

• Content Design Platforms/Tools: May include specialized tools for content management, localization, or design system management (specifics not provided, but assume industry standard tools).

• AI/ML Platforms: Familiarity with conversational AI platforms (e.g., Rasa, Dialogflow) and generative AI tools/APIs is crucial.

Analytics & Reporting:

• User Research Tools: (e.g., UserTesting.com, Lookback) for gathering qualitative feedback.

• Product Analytics Tools: (e.g., Amplitude, Mixpanel, Google Analytics) for understanding user behavior and product engagement.

• Usability Testing Tools: For evaluating the effectiveness of content and user flows.

CRM & Automation:

• Project Management Tools: (e.g., Jira, Asana, Trello) for Agile/Scrum workflows.

• Collaboration Tools: (e.g., Slack, Microsoft Teams) for team communication.

• Documentation Tools: (e.g., Confluence, Notion) for knowledge sharing and process documentation.

📝 Enhancement Note: Proficiency with Figma is explicitly mentioned. Beyond that, experience with conversational AI platforms and generative AI tools is critical. Candidates should be prepared to discuss their experience integrating content design with these AI technologies.

👥 Team Culture & Values

Operations Values:

• Innovation & Impact: A culture that embraces new technologies like AI to create meaningful impact in healthcare.

• User-Centricity: A deep commitment to understanding and serving user needs, especially in sensitive health contexts.

• Collaboration: Strong emphasis on cross-functional teamwork, open communication, and shared problem-solving.

• Data-Driven Decisions: Reliance on research, analytics, and user feedback to guide strategy and design.

• Clarity & Trust: Prioritizing clear, empathetic communication to build trust with users in regulated environments.

Collaboration Style:

• Highly collaborative, working closely with product managers, engineers, clinical experts, and AI specialists.

• Facilitates workshops and actively seeks input from diverse stakeholders.

• Values constructive feedback and iterative design processes.

• Emphasis on clear documentation and knowledge sharing within the team and across departments.

📝 Enhancement Note: The company culture likely fosters a fast-paced, innovative environment where collaboration is key to navigating the complexities of digital health and AI. Values will likely center around user well-being, data integrity, and technological advancement.

⚡ Challenges & Growth Opportunities

Challenges:

• Navigating Regulated Environments: Designing content for healthcare requires strict adherence to regulations (e.g., HIPAA), accuracy, and ethical considerations, especially with AI.

• Balancing AI Capabilities with Human Needs: Ensuring AI-generated content is safe, accurate, and empathetic, while also managing user expectations and potential biases.

• Cross-Functional Alignment: Gaining consensus and driving adoption of content strategies across diverse teams (product, engineering, clinical, AI, legal).

• Defining AI Governance: Establishing robust processes for evaluating, managing, and iterating on AI-generated content in a regulated context.

• Hands-on Leadership: Effectively balancing strategic leadership, team mentorship, and individual contribution in a dynamic environment.

Learning & Development Opportunities:

• Specialized AI Training: Opportunities to deepen expertise in prompt engineering, LLM applications, and AI ethics within healthcare.

• Advanced Conversation Design: Further developing skills in complex dialogue flows, error handling, and proactive AI interactions.

• Product Strategy Influence: Gaining experience in shaping product roadmaps and influencing strategic decisions at a leadership level.

• Mentorship Programs: Formal or informal opportunities to mentor junior designers and receive mentorship from senior leaders.

• Industry Conferences/Webinars: Access to events focused on AI, UX, and digital health to stay abreast of industry trends.

📝 Enhancement Note: The primary challenges revolve around the intersection of AI, healthcare regulations, and user experience. Growth opportunities are significant for those looking to specialize in this cutting-edge field and develop leadership skills.

💡 Interview Preparation

Strategy Questions:

• "How would you approach designing content for an AI chatbot that provides diagnostic support in a regulated healthcare setting, considering accuracy, safety, and user trust?" (Focus on your process, risk mitigation, and user-centric approach).

• "Describe your experience in developing content standards, voice and tone guidelines, and scalable content design frameworks. Provide an example." (Highlight your system-level thinking and organizational impact).

• "How do you balance the capabilities of generative AI with the need for human-centered design, especially in sensitive domains like healthcare?" (Discuss prompt design, output evaluation, and ethical considerations).

Company & Culture Questions:

• "What interests you about working in digital health and AI-driven experiences?" (Show genuine interest and understanding of the domain).

• "How do you approach collaborating with engineers, product managers, and clinical experts?" (Emphasize your communication and influencing skills).

• "What are your thoughts on establishing governance for AI-generated content?" (Demonstrate strategic thinking about AI lifecycle management).

Portfolio Presentation Strategy:

• Structure your presentation: Start with an overview of your role, the problem, your approach, and then dive into 2-3 key case studies.

• Emphasize AI & Healthcare: For each case study, clearly articulate your contributions related to AI, conversation design, and any regulated industry experience.

• Quantify results: Whenever possible, use data (e.g., conversion rates, task completion times, user satisfaction scores) to demonstrate the impact of your work.

• Showcase Figma: Be prepared to share relevant Figma screens or prototypes, especially those related to design systems or complex user flows.

• Tell a story: Frame your projects as narratives – what was the challenge, what did you do, and what was the outcome?

📝 Enhancement Note: Interview preparation should focus on demonstrating deep understanding of AI, conversation design, and the nuances of working in a regulated healthcare environment. Candidates must be ready to articulate their strategic thinking, leadership potential, and ability to translate complex technical concepts into user-friendly content.

📌 Application Steps

To apply for this Lead Content Designer position:

• Submit your application through the Jobgether platform via the provided link.

• Tailor your resume: Highlight your 8-10 years of experience, focusing on UX writing, content strategy, conversation design, generative AI, and any digital health or regulated industry experience. Use keywords from the job description.

• Curate your portfolio: Select 2-3 of your strongest projects that best showcase your skills in AI-driven experiences, complex product design, and content strategy. Ensure it clearly demonstrates your ability to design conversation flows and manage AI content governance.

• Prepare your narrative: Practice articulating your experience and portfolio projects clearly and concisely, focusing on impact and lessons learned. Be ready to discuss specific AI tools and methodologies you've used.

• Research the domain: Familiarize yourself with current trends and challenges in digital health, AI in healthcare, and conversational AI. Understand the importance of user trust and safety in this sector.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and operations industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.