📍 Job Overview
Job Title: Sr. Content Designer
Company: 6sense
Location: Bengaluru, Karnataka, India
Job Type: Full-Time
Category: Product Design / Content Strategy
Date Posted: 2026-09-30
Experience Level: 5+ Years (Mid to Senior Level)
Remote Status: On-site
🚀 Role Summary
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Spearhead content design initiatives for product areas, focusing on both traditional UI copy and emerging conversational/AI-driven interfaces.
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Develop and refine conversational flows, including multi-turn dialogues, error handling, and AI fallback mechanisms.
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Craft and iterate on prompts and system instructions to shape AI-generated content, ensuring clarity, accuracy, tone, and safety.
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Collaborate closely with AI/ML engineers to evaluate model outputs, identify bias, and implement feedback loops for continuous improvement.
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Build and maintain scalable content systems, including patterns, voice & tone guidelines, and design systems for static and dynamic content.
📝 Enhancement Note: This role is positioned as a Senior Content Designer, indicating a need for strategic thinking, ownership, and mentorship capabilities. The emphasis on AI and conversational interfaces suggests a forward-looking role within a tech-forward organization.
📈 Primary Responsibilities
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Own the end-to-end content design process for assigned product areas, from initial concept and flow sketching through to shipped and measured user experiences.
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Design intuitive and effective conversational flows for chat-based and voice interfaces, meticulously addressing turn-taking, context management, disambiguation, error recovery, and graceful fallbacks.
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Write, test, and iterate on prompts and system instructions that guide AI-generated content, balancing brand voice, accuracy, brevity, and user safety considerations.
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Partner with Machine Learning (ML) and Artificial Intelligence (AI) engineers to critically evaluate model outputs for aspects like voice, clarity, bias, and hallucination risk, establishing robust feedback mechanisms for ongoing model enhancement.
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Develop, maintain, and scale content patterns, comprehensive voice & tone guidelines, and a robust content design system that encompasses both static UI elements and dynamic, AI-generated content.
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Collaborate effectively with Product Managers, Designers, and Researchers throughout the entire product development lifecycle, acting as a strong advocate for user needs and clarity in all product decisions.
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Leverage qualitative research findings and quantitative metrics (such as task success rates, user drop-off points, Customer Satisfaction Scores (CSAT), and containment rates for AI flows) to inform and justify content decisions.
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Provide constructive feedback and elevate the quality of work from other writers and designers, actively mentoring junior content designers to foster team growth and expertise.
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Champion the principles of accessible, inclusive, and plain-language content across all product touchpoints, ensuring a user-friendly experience for all.
📝 Enhancement Note: The responsibilities highlight a deep integration with product development, AI/ML teams, and a strong focus on data-driven decision-making, typical of senior roles in mature product organizations.
🎓 Skills & Qualifications
Education: Bachelor's degree in English, Communications, HCI, Design, Linguistics, or a related field, or equivalent practical experience.
Experience: 5+ years of progressive experience in content design, UX writing, technical writing, or a closely related discipline, with a minimum of 1-2 years specifically focused on conversational or AI-driven user interfaces.
Required Skills:
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Content Design & UX Writing: Proven ability to craft clear, concise, and user-centered copy for digital products, with a strong portfolio showcasing this expertise.
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Conversational Design: Demonstrated experience designing chatbot, voice assistant, or AI-agent flows, with a deep understanding of dialogue management, context handling, and failure state mitigation.
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Prompt Engineering / LLM Prompting: Hands-on experience writing, testing, and refining prompts or system instructions for Large Language Model (LLM)-powered features, with the ability to articulate how prompt structure impacts output quality, reliability, and safety.
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Systems Thinking: Capacity to design individual content elements while simultaneously conceptualizing scalable patterns and systems that support long-term content strategy and maintainability.
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Cross-functional Collaboration: Proven experience working effectively with Product Managers, Designers, Researchers, and Engineers in fast-paced, often ambiguous product development environments.
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Data-Informed Decision Making: Proficiency in using qualitative research and quantitative metrics (e.g., task success, CSAT, containment rates) to guide and validate content design choices.
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Editing and Plain Language: Excellent editing skills with a keen ear for brand voice, tone, and the principles of plain language communication.
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Accessibility & Inclusivity: Familiarity with accessibility standards (e.g., WCAG) and a commitment to inclusive writing practices.
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Tool Proficiency: Experience with design and collaboration tools such as Figma, and specialized content platforms like Ditto or similar content design/collaboration tools.
Preferred Skills:
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Experience building a conversational design system or an AI content style guide from the ground up.
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Familiarity with advanced AI concepts such as agentic workflows, Retrieval-Augmented Generation (RAG), multi-modal AI experiences, or established evaluation frameworks for generative content.
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Background in linguistics, taxonomy development, or information architecture.
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Prior experience shipping AI features within a B2B SaaS, Martech, or AI-focused company.
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Experience with LLM playgrounds or consoles (e.g., Claude, ChatGPT, or similar).
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Experience with content operations or localization platforms.
📝 Enhancement Note: The requirement for specific experience in AI/ML collaboration and prompt engineering, alongside traditional UX writing, indicates this role is at the forefront of content design evolution. The emphasis on systems thinking and data is crucial for a senior-level role.
📊 Process & Systems Portfolio Requirements
Portfolio Essentials:
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Core UX Writing: Showcase at least 2-3 projects demonstrating strong craft in traditional UX writing, including examples of UI copy, microcopy, and user flow content. Highlight the problem, your solution, and the impact.
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Conversational/AI Project: Include at least one project that specifically involves conversational design (e.g., chatbot flows, voice interactions) or generative AI content (e.g., prompt design, AI output refinement). Detail the challenges, your approach to dialogue or prompt structure, and how you measured success or iterated.
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Systems Design: Demonstrate your ability to think systematically. This could be through examples of content patterns, style guides, or contributions to a design system that scale content across multiple features or products.
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Cross-functional Collaboration: Evidence of collaboration with designers, PMs, and engineers. This can be woven into project descriptions by explaining how you incorporated feedback or influenced product decisions.
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Metrics & Iteration: Clearly articulate how you used data (qualitative or quantitative) to inform your content decisions and how you iterated on content based on user feedback or performance metrics.
Process Documentation:
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Workflow Design: Illustrate your process for tackling a new content design challenge, from discovery and research through to ideation, design, and iteration.
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System Implementation: Show examples of how you've documented content standards, patterns, or guidelines to ensure consistency and scalability.
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Performance Analysis: Explain how you measure the effectiveness of content and how you use insights to drive improvements. This could involve case studies with clear metrics and ROI where applicable.
📝 Enhancement Note: For a Senior Content Designer role, the portfolio is paramount. It needs to demonstrate not just writing skill but also strategic thinking, system design capabilities, and a proven ability to work with emerging AI technologies and measure their impact.
💵 Compensation & Benefits
Salary Range: For a Sr. Content Designer role in Bengaluru, India, with 5+ years of experience, the estimated annual salary range could be between ₹1,500,000 to ₹2,500,000. This estimate is based on industry benchmarks for senior-level design roles in the Indian tech market, considering the specialized nature of AI and conversational design expertise. Factors such as specific company compensation bands, negotiation, and the candidate's precise skill set can influence the final offer.
Benefits:
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Comprehensive Health Coverage: Includes medical, dental, and vision insurance plans.
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Generous Paid Time Off (PTO): Ample vacation days, holidays, and dedicated self-care days.
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Paid Parental Leave: Support for new parents during this significant life event.
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Quarterly Self-Care Days: Encouraging work-life balance and employee well-being.
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Stock Options: Opportunity to own a part of the company's success.
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Learning & Development: Access to LinkedIn Learning and other initiatives for continuous skill enhancement.
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Wellness Programs: Quarterly wellness education sessions and ERG-hosted events to support personal growth and well-being.
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Equipment & Support: Provision of necessary equipment and resources for effective remote or office-based work.
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Professional Development: Opportunities for attending industry conferences and pursuing certifications.
Working Hours: The standard working hours are typically 40 hours per week, aligning with common industry practices. While the role is on-site, there is an expectation of flexibility to meet project deadlines and collaborative needs, especially when working with global teams.
📝 Enhancement Note: Salary estimates are based on general market data for senior tech roles in Bengaluru. The listed benefits are comprehensive and reflect a company culture that values employee well-being and professional growth.
🎯 Team & Company Context
🏢 Company Culture
Industry: Technology, specifically focused on B2B SaaS, Martech, and AI/ML solutions. 6sense operates in the Account Engagement Platform space, leveraging AI to help companies grow, retain, and operate more efficiently.
Company Size: 6sense is a well-established, growth-stage company, likely falling into the 500-1000+ employee range based on typical hiring volumes for senior roles in tech. This size offers a balance of structured processes and opportunities for individual impact.
Founded: 6sense was founded in 2013. This history suggests a company that has evolved beyond its startup phase, establishing robust product lines and operational frameworks while still maintaining an innovative edge.
Team Structure:
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The Sr. Content Designer will likely be part of a larger Product Design or Product Management team.
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This team will collaborate closely with dedicated AI/ML engineering teams, Product Managers, UX Researchers, and potentially Marketing.
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The reporting structure would typically be to a Design Lead, Head of Product Design, or a Director of Product.
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Cross-functional collaboration is a core tenet, requiring strong partnerships with engineering and product leadership. Methodology:
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Data-Driven Product Development: Emphasis on using qualitative research and quantitative metrics to inform product and content decisions.
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Agile/Iterative Design: Working in fast-paced, iterative cycles common in SaaS product development.
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Systems Approach: Designing scalable patterns and systems rather than one-off solutions.
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AI Integration: Proactive integration of AI and conversational interfaces into the product roadmap.
Company Website: https://6sense.com/
📝 Enhancement Note: 6sense's focus on AI and growth in the B2B SaaS space suggests a dynamic and technologically advanced environment. The company's mission and values point towards a culture of collaboration, curiosity, and ownership, which are key for a senior role.
📈 Career & Growth Analysis
Operations Career Level: This role is firmly positioned at the Senior level within the Content Design/UX Writing discipline. This implies a significant degree of autonomy, ownership, and the expectation to lead projects, mentor junior team members, and contribute to strategic content initiatives. The focus on AI and conversational design also places this role at the cutting edge of the profession.
Reporting Structure: The Sr. Content Designer will report to a Design Manager, Director of Product Design, or a similar leadership role within the product organization. They will work in close partnership with Product Managers, UX Researchers, and AI/ML Engineers.
Operations Impact: The impact of this role is direct and significant. By crafting clear, useful, and engaging product experiences, the Sr. Content Designer influences:
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User Adoption & Onboarding: Making complex features easy to understand and use.
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Customer Satisfaction (CSAT): Improving the overall user experience through clear communication.
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Product Efficiency: Ensuring users can achieve their goals quickly and effectively, especially with AI-powered features.
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Brand Consistency: Maintaining a strong, reliable brand voice across all product touchpoints.
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AI Effectiveness: Directly shaping the performance and user perception of AI features through prompt design and conversational flow.
Growth Opportunities:
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Leadership in AI Content: Become a subject matter expert and leader in conversational design and AI content strategy within the company.
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Mentorship & Team Development: Guide and mentor junior content designers, contributing to the growth of the content design function.
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Strategic Influence: Influence the overall product strategy and design system by advocating for user-centric content and scalable patterns.
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Specialization: Deepen expertise in areas like AI safety, ethical AI communication, or advanced conversational AI patterns.
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Career Progression: Potential advancement to Lead Content Designer, Design Manager, or a specialized AI Content Strategist role.
📝 Enhancement Note: The senior title and focus on AI suggest ample room for growth into leadership, specialization, and strategic influence within a rapidly evolving tech landscape.
🌐 Work Environment
Office Type: The job posting indicates an on-site role in Bengaluru, India. This suggests a traditional office environment within 6sense's facilities, designed to foster collaboration and team interaction.
Office Location(s): Bengaluru, Karnataka, India. This is a major tech hub, offering access to a vibrant professional community.
Workspace Context:
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Collaborative Environment: The office setting is expected to facilitate spontaneous discussions, brainstorming sessions, and close collaboration with design, product, and engineering teams.
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Tools & Technology: Access to necessary hardware, software, and potentially specialized AI tools and platforms required for content design and AI interaction.
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Team Interaction: Regular opportunities for in-person team meetings, design critiques, and cross-functional syncs.
Work Schedule: While the standard is 40 hours per week, the nature of product development, especially in a fast-paced tech company, may require some flexibility to meet project deadlines or accommodate collaboration with teams in different time zones. The on-site nature implies a structured workday within office hours.
📝 Enhancement Note: The on-site requirement points to a preference for in-person collaboration, which is often beneficial for complex design work and team cohesion, especially in a role involving cutting-edge AI technologies.
📄 Application & Portfolio Review Process
Interview Process:
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Initial Screening: A recruiter or hiring manager will review your application and resume, focusing on relevant experience and skills.
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Portfolio Review: Candidates will be asked to present their portfolio, with specific attention paid to UX writing craft, conversational/AI design projects, and systems thinking. Be prepared to walk through your process, decision-making, and the impact of your work.
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Skills-Based Interviews: Expect interviews with hiring managers, potential peers (other designers), and cross-functional partners (PMs, Engineers). These will likely cover your approach to content design, problem-solving skills, experience with AI, and how you handle ambiguity.
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Case Study/Design Challenge: A practical exercise may be given to assess your design process, writing ability, and ability to apply content principles to a specific problem, potentially involving AI or conversational scenarios.
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Cultural Fit & Values Alignment: Interviews will assess how well you align with 6sense's "Being 6sense" values (Win as One Team, Stay Curious, Do The Right Thing, Own the Outcome, Create Belonging).
Portfolio Review Tips:
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Curate Strategically: Select 3-5 of your strongest projects that best showcase your skills for this specific role. Prioritize projects demonstrating AI/conversational experience and systems thinking.
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Tell a Story: For each project, clearly articulate the problem, your role, your process, the challenges you faced, your solutions, and the measurable outcomes. Use visuals effectively.
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Highlight AI/Conversational Work: Clearly label and explain your experience with conversational flows, prompt engineering, and AI-generated content. Detail your approach to balancing AI capabilities with user needs and safety.
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Showcase Systems Thinking: Demonstrate how you've contributed to or created scalable content patterns, style guides, or design system components.
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Quantify Impact: Whenever possible, use data and metrics to demonstrate the success and business impact of your content decisions.
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Be Prepared for Questions: Anticipate questions about your design choices, collaboration style, and how you approach complex or ambiguous problems.
Challenge Preparation:
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Understand the Context: If given a case study, thoroughly analyze the problem statement and the target user.
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Focus on Process: Demonstrate a clear, logical design process, even in a timed exercise. Show your thinking, not just the final output.
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AI/Conversational Focus: If applicable, consider how you would approach content for an AI feature or conversational interface, thinking about user goals, AI capabilities, and potential pitfalls.
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Clarity and Conciseness: Practice articulating your ideas clearly and concisely, as you would in your written content.
📝 Enhancement Note: The emphasis on portfolio presentation and specific project types (AI/conversational) highlights the critical nature of showcasing practical experience in these areas. Preparation should focus on demonstrating strategic thinking and measurable impact.
🛠 Tools & Technology Stack
Primary Tools:
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Design & Prototyping: Figma (or similar industry-standard tools like Sketch, Adobe XD) for wireframing, UI design, and prototyping.
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Content Design & Collaboration Platforms: Ditto (or similar platforms like Sempli, Contentful's design integration, or specialized UX writing tools) for managing content, collaborating on copy, and maintaining consistency.
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LLM Playgrounds/Consoles: Experience with platforms like Claude, ChatGPT, or similar interfaces for interacting with, testing, and refining prompts for generative AI models.
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Spreadsheets & Data Analysis: Google Sheets, Microsoft Excel for data tracking, analysis, and reporting on content performance.
Analytics & Reporting:
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Product Analytics Tools: Familiarity with tools like Amplitude, Mixpanel, or Google Analytics for tracking user behavior, task success, drop-off rates, and other relevant metrics.
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Customer Feedback Tools: Experience with platforms for collecting and analyzing CSAT scores, user feedback, and support tickets.
CRM & Automation:
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CRM Systems: While not a primary tool for content design, familiarity with CRM platforms (like Salesforce, HubSpot) can provide context on how user data and customer journeys are managed, influencing content strategy.
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Content Management Systems (CMS): Experience with CMS platforms may be relevant for understanding how content is published and managed, especially for web-based product interfaces.
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Localization/Content Ops Platforms: Experience with tools used for managing content workflows, translation, and localization processes.
📝 Enhancement Note: The specific mention of Figma, Ditto, and LLM playgrounds points to the tools the candidate is expected to be proficient with. A strong understanding of how content interacts with analytics and AI models is crucial.
👥 Team Culture & Values
Operations Values: 6sense emphasizes its "Being 6sense" values:
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Win as One Team: Fosters a collaborative spirit where everyone works together towards common goals, essential for cross-functional product development.
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Stay Curious: Encourages continuous learning, exploration, and an open mind, particularly relevant for a role working with cutting-edge AI technologies.
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Do The Right Thing: Emphasizes integrity, ethical considerations, and making sound decisions, critical for AI safety and user trust.
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Own the Outcome: Promotes accountability and a results-oriented mindset, driving the successful delivery of impactful product experiences.
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Create Belonging: Cultivates an inclusive environment where diverse perspectives are valued, crucial for creating products that serve a broad user base.
Collaboration Style:
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Cross-functional Integration: Expect a highly collaborative environment where content designers work hand-in-hand with product managers, designers, researchers, and AI/ML engineers.
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Data-Informed Discussions: Collaboration is likely driven by data and user insights, with discussions focused on evidence-based decision-making.
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Iterative Feedback Loops: A culture that embraces constructive feedback and rapid iteration on design and content.
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Knowledge Sharing: Opportunities to share learnings, best practices, and insights across teams, particularly around AI and conversational design.
📝 Enhancement Note: The explicit mention of company values provides direct insight into the expected behaviors and cultural fit. A candidate should be prepared to discuss how their work aligns with these principles, especially regarding teamwork, curiosity (for AI), and ownership.
⚡ Challenges & Growth Opportunities
Challenges:
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Rapidly Evolving AI Landscape: Keeping pace with the fast-changing capabilities and best practices in AI, LLMs, and conversational interfaces.
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Balancing AI Capabilities with User Needs: Ensuring AI-generated content is not only functional but also helpful, safe, and aligned with user expectations and brand voice.
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Designing for Ambiguity: Working in a relatively new domain (AI content design) where established patterns are still emerging, requiring comfort with uncertainty.
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Measuring AI Content Effectiveness: Developing robust metrics and methodologies to assess the success of AI-driven content and conversational flows.
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Cross-functional Alignment: Ensuring consistent understanding and execution of content strategy across diverse teams (Product, Engineering, Research, Marketing).
Learning & Development Opportunities:
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Deep Dive into AI/ML: Gaining firsthand experience and deeper understanding of AI models, prompt engineering techniques, and their application in product design.
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Developing Conversational Design Systems: Opportunity to contribute to or lead the creation of scalable systems for AI-driven interactions.
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Mentorship & Leadership: Growing into a mentor role for junior designers and potentially influencing the broader content strategy and design function.
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Industry Exposure: Staying at the forefront of AI and content design trends through company initiatives and potentially industry events.
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Skill Specialization: Further specializing in areas like AI safety, ethical AI communication, or advanced dialogue design.
📝 Enhancement Note: The role inherently involves navigating the challenges of working with cutting-edge AI technology. The growth opportunities are significant for individuals looking to specialize and lead in this emerging field.
💡 Interview Preparation
Strategy Questions:
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"Describe your process for designing a conversational flow for a new AI feature. How do you handle error states and ensure a positive user experience?" (Focus on your structured approach, user-centricity, and handling of AI limitations.)
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"How do you approach writing prompts for LLMs to achieve a specific tone, accuracy, and safety profile? Can you provide an example?" (Be ready to discuss prompt engineering techniques, iteration, and balancing competing requirements.)
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"How do you ensure content remains consistent and on-brand when it's being generated dynamically by AI?" (Discuss your strategies for prompt design, system instructions, and potential content moderation or review processes.)
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"Walk me through a project where you used data (qualitative or quantitative) to inform your content design decisions. What metrics did you track, and what was the outcome?" (Prepare a case study highlighting data-driven decision-making and measurable impact.) Company & Culture Questions:
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"How do you align your work with company values like 'Stay Curious' and 'Own the Outcome' when working on complex product challenges?" (Connect your past experiences to 6sense's values, especially in relation to learning and taking initiative.)
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"Describe your experience collaborating with AI/ML engineers. What are the key challenges and best practices for this partnership?" (Highlight your ability to communicate effectively with technical teams and understand AI concepts.)
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"How do you advocate for user needs and content best practices within a cross-functional team?" (Showcase your communication, negotiation, and influence skills.) Portfolio Presentation Strategy:
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Structure is Key: Organize your portfolio presentation logically. Start with an overview of your experience, then dive into 2-3 key projects that best fit the role's requirements (especially AI/conversational).
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Problem-Solution-Impact: For each project, clearly articulate the problem statement, your specific contributions and process, the solution you designed, and the measurable impact or outcome.
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Show, Don't Just Tell: Use visuals (screenshots, flow diagrams, mockups) to illustrate your work. For AI/conversational projects, consider showing example interactions or prompt structures.
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Highlight AI/Prompting Experience: Dedicate specific slides or talking points to your AI and prompt engineering experience. Explain your methodology and the results achieved.
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Be Ready for Deep Dives: Anticipate questions about your design choices, trade-offs made, and how you handled specific challenges.
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Connect to 6sense: Where possible, relate your experience and approach to 6sense's mission, products, and values.
📝 Enhancement Note: Preparation should focus on articulating your experience with AI, conversational design, and prompt engineering with concrete examples. Demonstrating a structured, data-informed, and collaborative approach will be critical.
📌 Application Steps
To apply for this Sr. Content Designer position:
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Submit your application through the provided Greenhouse link on the 6sense careers page.
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Tailor Your Resume: Optimize your resume to highlight keywords and experiences directly relevant to content design, UX writing, conversational AI, prompt engineering, and collaboration with AI/ML teams. Quantify achievements wherever possible.
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Curate Your Portfolio: Select 3-5 of your strongest projects. Prioritize those showcasing your expertise in traditional UX writing, conversational/AI design, and systems thinking. Ensure each project clearly outlines the problem, your role, process, solution, and impact, with specific attention to AI-related work.
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Prepare Your Presentation: Practice presenting your portfolio. Be ready to articulate your design process, decision-making rationale, and the measurable impact of your work, especially for AI-focused projects. Prepare to answer questions about your approach to prompt engineering and conversational design.
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Research 6sense: Familiarize yourself with 6sense's mission, products, and company values ("Being 6sense"). Understand their position in the Martech/AI space and how content design contributes to their growth and efficiency goals.
⚠️ Important Notice: This enhanced job description includes AI-generated insights and industry-standard assumptions. All details should be verified directly with 6sense before making application decisions.
Application Requirements
The role requires 5+ years of experience in content design or UX writing, with specific expertise in conversational or AI-driven surfaces. Candidates must demonstrate strong systems thinking, proficiency in prompt engineering, and the ability to collaborate effectively with AI/ML teams.