Lead Product Designer

📍 Job Overview

Job Title: Lead Product Designer

Company: Nightfall AI

Location: Bengaluru, Karnataka, India

Job Type: FULL_TIME

Category: Product Design / UX Design

Date Posted: May 29, 2026

Experience Level: 5-10 Years

Remote Status: Hybrid

🚀 Role Summary

• Lead the end-to-end UX design process for Nightfall AI's AI-native data loss prevention and insider risk management platform, ensuring a benchmark user experience.

• Develop high-fidelity design deliverables, including wireframes, user flows, interactive prototypes, and pixel-perfect visual designs, leveraging AI tools throughout the design lifecycle.

• Drive user research initiatives, analyze customer feedback, and translate insights into actionable design recommendations to ensure product-market fit and user satisfaction.

• Collaborate intimately with cross-functional teams, including engineering and product management, from initial concept through to feature implementation and precise execution.

• Champion and evolve Nightfall's design system, guidelines, and best practices, fostering a consistent and high-quality user experience across all product touchpoints.

📝 Enhancement Note: The role title "Lead Product Designer" suggests a leadership capacity, implying responsibility for guiding design strategy and potentially mentoring junior designers, even if not explicitly stated as management. The emphasis on "AI-native" and "data loss prevention" in the company description indicates a need for designers to understand complex technical concepts and translate them into intuitive interfaces for security professionals.

📈 Primary Responsibilities

• Conceptualize and execute comprehensive user experience designs, producing detailed wireframes, user flows, interactive prototypes, and polished visual designs that meet user needs and business objectives.

• Conduct rigorous user research, including usability testing, interviews, and surveys, to gather critical insights into user behaviors, pain points, and motivations, informing design decisions.

• Translate complex technical requirements and security workflows into simple, intuitive, and engaging user interfaces for SaaS applications, GenAI tools, and other platforms.

• Develop, maintain, and evangelize a robust design system, ensuring consistency, scalability, and efficiency in design processes and product development.

• Partner closely with engineering teams to ensure accurate implementation of design specifications, providing clear documentation and ongoing support throughout the development cycle.

• Effectively communicate design rationale, user insights, and proposed solutions to a diverse range of stakeholders, including product managers, engineers, executives, and customers.

• Proactively identify opportunities for design innovation and process improvement within the product development lifecycle, driving continuous enhancement of the user experience.

• Build and nurture strong relationships with customers to gain a deep understanding of their challenges and ensure that design solutions directly address their critical needs.

📝 Enhancement Note: The responsibility of "leveraging AI tools throughout the design process" is a critical differentiator. This implies an expectation for the candidate to be conversant with AI-assisted design tools for research, ideation, prototyping, and even asset generation, rather than just traditional design software.

🎓 Skills & Qualifications

Education: Bachelor's degree in Design, Human-Computer Interaction (HCI), Computer Science, or a closely related field.

Experience: Minimum of 6 years of hands-on UX design experience specifically for software products, with a proven track record of delivering high-quality user experiences.

Required Skills:

• Demonstrated expertise in creating a full spectrum of design deliverables, including wireframes, user flows, interactive prototypes, and high-fidelity visual designs.

• Strong proficiency in leveraging AI tools for design research, ideation, prototyping, and production of UX design assets.

• Deep understanding of user research methodologies, including usability testing, user interviews, persona development, and journey mapping, with the ability to translate insights into actionable design strategies.

• Proven ability to develop, implement, and maintain comprehensive design systems, style guides, and best practices.

• Extensive experience with industry-standard design and prototyping tools such as Figma, Sketch, Adobe XD, or InVision.

• Exceptional problem-solving skills with a meticulous attention to detail and a commitment to high-quality execution.

• Excellent communication, presentation, and interpersonal skills, with the ability to articulate design decisions and collaborate effectively with cross-functional teams and stakeholders.

Preferred Skills:

• Experience designing for B2B SaaS products, particularly within the cybersecurity, data loss prevention, or insider risk management domains.

• Familiarity with front-end development principles and technologies to facilitate better collaboration with engineering.

• Experience with user feedback platforms and A/B testing for design optimization.

• A strong understanding of AI/ML concepts and their application in user interfaces.

📝 Enhancement Note: The explicit mention of "6 + years of hands-on UX design experience for software products" and a "Bachelor's degree in Design, Human-Computer Interaction, or a related field" sets a clear baseline. The emphasis on "leveraging AI tools throughout the design process" is a significant requirement that distinguishes this role from standard UX positions. The "not for" section highlights the need for candidates who are comfortable with ambiguity and proactive in driving the design process, indicating a dynamic startup environment.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Showcase a diverse range of UX design projects demonstrating expertise in interaction design, visual design, and creative problem-solving.

• Include case studies that clearly articulate the problem statement, your design process, the solutions you developed, and the impact of your work.

• Highlight your experience with user research methodologies and how you incorporated user insights into your design decisions.

• Present examples of work created using AI tools within the design process, illustrating their application in research, ideation, or prototyping.

Process Documentation:

• Clearly document your design process for at least 2-3 significant projects, detailing stages from initial research and ideation through to final implementation and iteration.

• For each project, explain how you collaborated with engineering, product management, and other stakeholders.

• Provide examples of how you developed and utilized a design system or style guide to ensure consistency and efficiency.

• Quantify the impact of your designs whenever possible, using metrics related to user engagement, task completion rates, conversion improvements, or reduction in user errors.

📝 Enhancement Note: The requirement for a portfolio that "showcases your interaction design expertise, visual design skills, and creative problem-solving ability" combined with the need to demonstrate "leveraging AI tools throughout the design process" means candidates should curate projects that highlight these specific strengths. Explicitly showing how AI was integrated into their workflow will be crucial.

💵 Compensation & Benefits

Salary Range:

Given the location (Bengaluru, India), experience level (5-10 years), and the specialized nature of the role (Lead Product Designer with AI tool proficiency in a cybersecurity startup), a competitive salary range can be estimated. Based on industry benchmarks for senior/lead UX designers in major Indian tech hubs and considering the startup environment and global funding of Nightfall AI, the estimated annual salary range would be ₹2,000,000 to ₹3,500,000.

Benefits:

• Stock Options: Opportunity to gain equity in a rapidly growing AI-native cybersecurity company.

• Health Insurance: Comprehensive medical coverage for employees and potentially dependents.

• Professional Development: Support for continuous learning, including access to courses, conferences, and workshops related to UX design, AI tools, and cybersecurity.

• Flexible Work Environment: Hybrid work model offering a balance between in-office collaboration and remote flexibility.

• Paid Time Off: Generous vacation, sick leave, and public holidays.

• Employee Assistance Program: Support services for personal and professional well-being.

Working Hours: Approximately 40 hours per week, with flexibility expected to meet project deadlines and collaborate across different time zones.

📝 Enhancement Note: The input states "Employee compensation will be determined based on interview performance, level of experience, specialization of skills, and market rate." For Bengaluru, India, a Lead Product Designer with 6+ years of experience, especially in a tech-focused startup like Nightfall AI, would command a salary in the range of ₹2,000,000 to ₹3,500,000 annually. This estimate considers the cost of living in Bengaluru and the competitive landscape for skilled design professionals in the tech sector. The explicit mention of "Stock Options" as a benefit is a key differentiator for startup roles.

🎯 Team & Company Context

🏢 Company Culture

Industry: Cybersecurity, Artificial Intelligence (AI), Data Security, Software as a Service (SaaS). Nightfall AI operates at the intersection of these rapidly evolving fields, focusing on Data Loss Prevention (DLP) and Insider Risk Management. This industry context demands a high level of technical understanding, a commitment to data privacy and security, and an agile approach to product development.

Company Size: Nightfall AI is a well-funded startup with significant VC backing, indicating a growing team that values innovation, speed, and impact. Startup environments typically foster a culture of ownership, collaboration, and rapid iteration.

Founded: Nightfall AI was founded relatively recently, suggesting a dynamic and fast-paced work environment. This means the company is likely in a growth phase, with opportunities to shape processes and contribute significantly to the product's direction.

Team Structure:

• The Product Design team, while not explicitly detailed in size, will likely be integrated within a larger R&D or Product organization.

• Expect close collaboration with Product Managers, Engineers (Frontend and Backend), and potentially Marketing or Sales teams.

Methodology:

• Data-Driven Design: Emphasis on user research, analytics, and A/B testing to inform design decisions and measure impact.

• Agile Development: Iterative design and development cycles to respond quickly to market changes and user feedback.

• AI-Augmented Workflows: Integration of AI tools into the design process for enhanced efficiency and creativity.

• Customer-Centricity: Deep engagement with customers to understand their needs and ensure product relevance.

Company Website: https://www.nightfall.ai/

📝 Enhancement Note: The company description highlights Nightfall AI as an "AI-native, unified data loss prevention and insider risk management platform." This implies a deep integration of AI not just as a feature, but as a core component of their technology. For a designer, this means understanding how AI models work, their limitations, and how to best present AI-driven insights and actions to users, particularly security professionals who may have technical backgrounds.

📈 Career & Growth Analysis

Operations Career Level: This role is positioned as a "Lead Product Designer," indicating a senior individual contributor level. It requires extensive experience (6+ years) and the ability to lead design initiatives, influence product strategy, and potentially mentor junior designers. The focus is on driving high-quality design output and strategic design thinking.

Reporting Structure: While not explicitly stated, a Lead Product Designer typically reports to a Head of Product, Director of Product Design, or a VP of Product/Engineering. They will work closely with Product Managers who define the product strategy and requirements, and with Engineering teams responsible for implementation.

Operations Impact: The Lead Product Designer will have a significant impact on Nightfall AI's success by shaping the user experience of a critical security platform. A well-designed product enhances user adoption, customer satisfaction, and retention, directly contributing to revenue growth and market position. The ability to translate complex data security concepts into intuitive interfaces is paramount for the success of an AI-native DLP solution.

Growth Opportunities:

• Design Leadership: Potential to grow into a Design Manager role as the team expands, leading a team of designers.

• Strategic Influence: Deeper involvement in product strategy and roadmap planning, leveraging design expertise to guide product direction.

• Specialization: Deepen expertise in cybersecurity UX, AI-driven product design, and complex enterprise software interfaces.

• Cross-functional Leadership: Opportunity to lead design initiatives that span multiple product areas and collaborate with senior leadership across the organization.

• Company Growth: As Nightfall AI scales, opportunities for broader impact and leadership roles will emerge.

📝 Enhancement Note: The "Lead" title strongly suggests that this role is not just about execution but also about strategic input. The expectation to "drive towards making Nightfall AI a benchmark for UX designers" implies a leadership aspiration and the opportunity to define and elevate the design practice within the company.

🌐 Work Environment

Office Type: While the role is listed as "TELECOMMUTE" and "remote_derived": true, the company's description implies a hybrid work model. This suggests that while remote work is supported, there will be an expectation for periodic in-office collaboration for team meetings, brainstorming sessions, and building team cohesion. The exact balance will likely depend on team policy and individual arrangements.

Office Location(s): The job is posted for Bengaluru, Karnataka, India, indicating a primary hub for talent acquisition in this region. Nightfall AI, being a US-based company with global operations, may have other office locations, but the immediate focus for this role is Bengaluru.

Workspace Context:

• Collaborative Environment: Expect a dynamic, fast-paced startup environment where close collaboration with product managers, engineers, and other designers is essential.

• Tools & Technology: Access to modern design tools (Figma, Sketch, Adobe XD) and potentially AI-assisted design platforms will be provided.

• Innovation Focus: A culture that encourages experimentation, learning, and pushing the boundaries of what's possible with AI in UX design.

• Security-Minded: Working within the cybersecurity domain means an inherent focus on security best practices in all aspects of product development and design.

Work Schedule: The standard working hours are likely around 40 hours per week. However, given the startup environment and global nature of the company, flexibility will be key. This may include occasional early morning or late evening calls to accommodate time zone differences with US-based teams.

📝 Enhancement Note: The location_type: "TELECOMMUTE" and remote_derived: true combined with the company's likely US headquarters suggests a global, distributed team. However, the specific mention of Bengaluru as a location implies a potential for a strong local presence or hybrid expectation. The "AI-native" nature of the company means the workspace will likely be equipped with cutting-edge technology to support advanced design workflows.

📄 Application & Portfolio Review Process

Interview Process:

1. Application Review: Initial screening of resumes and portfolios for relevant experience, skills, and demonstrated proficiency with design tools and AI integration.

2. Recruiter Screen: A call with a recruiter to discuss background, motivations, salary expectations, and cultural fit.

3. Design Exercise/Challenge: A take-home or live design exercise focused on solving a specific product problem, demonstrating approach to user research, ideation, wireframing, and visual design. This may include leveraging AI tools.

4. Portfolio Presentation & Stakeholder Interviews: A presentation of selected portfolio pieces, focusing on process, problem-solving, and impact. Interviews with Product Management and Engineering leads to assess collaboration skills and technical understanding.

5. Hiring Manager Interview: A final discussion with the hiring manager to delve deeper into leadership potential, strategic thinking, and alignment with the team's vision.

Portfolio Review Tips:

• Curate Strategically: Select 3-4 projects that best showcase your "Lead" capabilities, problem-solving skills, interaction and visual design expertise, and crucially, your experience using AI tools in the design process.

• Tell a Story: For each project, clearly articulate the problem, your role, your design process (emphasizing research and AI integration), your solutions, and the measurable outcomes. Use visuals effectively.

• Highlight AI Integration: Explicitly show how you used AI tools (e.g., for research synthesis, idea generation, UI element creation, prototyping assistance) and the benefits it brought to your workflow or the final design.

• Demonstrate Leadership: If applicable, showcase projects where you took initiative, mentored others, or influenced product direction.

• Visual Polish: Ensure your portfolio is visually appealing, well-organized, and easy to navigate.

Challenge Preparation:

• Understand the Domain: Familiarize yourself with Nightfall AI's product, the cybersecurity landscape, data loss prevention, and insider risk management.

• Focus on Process: Be prepared to explain your design process step-by-step, especially how you would approach a complex, ambiguous problem in this domain.

• AI Tool Proficiency: Think about how you would leverage AI tools for the specific challenge presented, whether for research, ideation, or rapid prototyping.

• Collaboration: Be ready to discuss how you would collaborate with product managers and engineers to refine and implement your design solution.

📝 Enhancement Note: The emphasis on "leveraging AI tools throughout the design process" and the company's "AI-native" nature means the portfolio review and design challenges will likely probe this specific capability. Candidates should be prepared to demonstrate concrete examples of AI tool usage and its impact.

🛠 Tools & Technology Stack

Primary Tools:

• Design & Prototyping: Figma (highly preferred), Sketch, Adobe XD, InVision. Candidates are expected to be proficient in at least one, with Figma being the industry standard for collaborative design.

• AI Design Tools: Proficiency with AI-powered tools for research synthesis (e.g., tools that summarize user feedback), ideation (e.g., AI prompt-based visual generation), prototyping assistance, and potentially design system management or component generation. Specific tools will vary, but an understanding of the landscape is key.

• User Research Platforms: Tools for conducting usability testing, surveys, and interviews (e.g., UserTesting.com, SurveyMonkey, Typeform).

• Collaboration Tools: Slack, Jira, Confluence, Asana for team communication, project management, and documentation.

Analytics & Reporting:

• Product Analytics: Tools like Amplitude, Mixpanel, or Pendo to track user behavior, feature adoption, and engagement metrics.

• Data Visualization: While not primarily a data analyst role, understanding how to interpret and present data from analytics platforms is crucial for design iteration.

CRM & Automation:

• CRM Systems: Familiarity with CRM principles (e.g., Salesforce) is beneficial for understanding customer data context, though direct use may vary.

• Workflow Automation: Understanding how user workflows are automated or can be optimized within the platform.

📝 Enhancement Note: The role explicitly mentions "strong proficiency in leveraging AI tools throughout the design process." This is a critical requirement and suggests that candidates should be prepared to discuss specific AI tools they use for research, ideation, prototyping, or asset creation, and how these tools enhance their design workflow and output.

👥 Team Culture & Values

Operations Values:

• Innovation & AI-First: A core value is embracing cutting-edge AI technologies to solve complex data security problems and drive innovation in the product experience.

• User-Centricity: A deep commitment to understanding and serving the needs of security professionals, ensuring products are intuitive, effective, and trustworthy.

• Collaboration & Transparency: Fostering an environment where cross-functional teams work together openly, share knowledge, and provide constructive feedback to achieve common goals.

• Ownership & Accountability: Empowering individuals to take ownership of their work, drive initiatives, and be accountable for delivering high-quality results.

• Excellence & Quality: A dedication to producing work of the highest standard, with meticulous attention to detail and a drive for continuous improvement in both product and process.

Collaboration Style:

• Cross-Functional Integration: Design is seen as an integral part of the product development lifecycle, working hand-in-hand with Product Management and Engineering from ideation to launch.

• Data-Informed Decision-Making: Design decisions are supported by user research, data analytics, and a clear understanding of business objectives.

• Iterative Feedback Loops: Regular design critiques, feedback sessions, and collaborative problem-solving are encouraged to refine solutions and ensure alignment.

• Open Communication: Utilizing tools like Slack and regular meetings to maintain clear and consistent communication across distributed teams.

📝 Enhancement Note: The company's "AI-native" identity suggests that a core value will revolve around embracing and advancing AI. For a designer, this means not just using AI tools but understanding how AI-driven features can be best designed for user comprehension and trust, especially in a sensitive domain like cybersecurity.

⚡ Challenges & Growth Opportunities

Challenges:

• Designing for Complexity: Translating intricate data loss prevention and insider risk management concepts into simple, intuitive user interfaces for security professionals.

• AI Integration Ambiguity: Effectively integrating and presenting AI-driven features and insights in a way that builds user trust and understanding, especially in a high-stakes security context.

• Balancing User Needs with Technical Constraints: Working within the technical limitations and security requirements of an AI-native platform while ensuring a seamless user experience.

• Rapid Iteration in a Startup: Adapting to fast-paced development cycles, evolving product requirements, and the need for quick, impactful design solutions.

• Global User Base: Designing for a diverse user base with varying technical expertise, cultural backgrounds, and security needs.

Learning & Development Opportunities:

• Mastering AI-Powered Design Tools: Deepening expertise and exploring new AI tools that can augment the design workflow, leading to increased efficiency and creativity.

• Cybersecurity UX Specialization: Becoming a subject matter expert in designing for the unique challenges and user needs within the cybersecurity domain.

• Strategic Product Thinking: Growing influence on product strategy and roadmap development through design leadership.

• Mentorship: Potential to mentor junior designers and contribute to building a strong design culture.

• Industry Exposure: Engaging with industry trends in AI, data security, and user experience design through conferences, webinars, and professional networks.

📝 Enhancement Note: The primary challenge will be designing for a complex, AI-driven cybersecurity product. Candidates should be prepared to discuss how they would approach understanding these complex domains, researching user needs within them, and translating them into usable designs, particularly how AI plays a role in both the product and the design process itself.

💡 Interview Preparation

Strategy Questions:

• "Describe your process for designing a new feature for an AI-native cybersecurity platform. How would you leverage AI tools in this process?" (Focus on research, ideation, prototyping, and collaboration, highlighting AI integration.)

• "How do you approach user research for enterprise software, especially when dealing with sensitive data and security-conscious users? How would you build relationships with customers?" (Emphasize methodologies, building trust, and translating feedback into actionable insights.)

Company & Culture Questions:

• "What interests you about Nightfall AI and our mission to protect sensitive data with AI?" (Research the company's mission, values, and recent news. Connect your passion for design and AI to their goals.)

• "How do you handle ambiguity and drive the end-to-end design process forward in a fast-paced startup environment?" (Provide examples of your proactivity, problem-solving, and ability to thrive with less structure.)

Portfolio Presentation Strategy:

• Structure for Impact: Begin with a high-level overview of your career and design philosophy, then dive into 2-3 key projects. For each project, clearly state the problem, your role, your process (with emphasis on AI tool usage), your solution, and the measurable results.

• Visual Storytelling: Use high-quality visuals (wireframes, mockups, prototypes) to illustrate your design thinking and execution.

• Quantify Achievements: Wherever possible, present metrics that demonstrate the impact of your designs (e.g., increased user engagement, reduced error rates, improved task completion times).

• Highlight AI Tool Proficiency: Explicitly discuss how and why you used specific AI tools at different stages of your projects. Be ready to explain the benefits and any limitations encountered.

• Engage Your Audience: Be prepared to answer questions about your design decisions, trade-offs, and how you would approach future challenges at Nightfall AI.

📝 Enhancement Note: The interview process will heavily scrutinize the candidate's ability to integrate AI into their design workflow. Be ready to discuss specific AI tools, their benefits and limitations, and how they contribute to solving design challenges in the context of complex software.

📌 Application Steps

To apply for this Lead Product Designer position:

• Submit your application through the provided link on jobs.ashbyhq.com. Ensure your resume and portfolio are up-to-date and tailored for this role.

• Curate Your Portfolio: Select 3-4 of your strongest projects that best demonstrate your UX/UI design expertise, problem-solving skills, and, crucially, your experience leveraging AI tools throughout the design process.

• Craft a Compelling Case Study: For each selected project, clearly articulate the problem, your role, your detailed design process (highlighting research, ideation, and AI tool application), your solutions, and the measurable impact.

• Optimize Your Resume: Ensure your resume highlights your 6+ years of software UX design experience, proficiency with design tools, and any experience with AI tools or cybersecurity products. Use keywords from the job description.

• Prepare for the Design Challenge: Familiarize yourself with Nightfall AI's product and the cybersecurity domain. Be ready to articulate your design process and how you would approach a given challenge, including potential AI tool applications.

• Research Nightfall AI: Understand their mission, product offerings, and the "AI-native" approach to data loss prevention. This will help you tailor your answers and demonstrate genuine interest.

⚠️ 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.