Senior Product Designer

📍 Job Overview

Job Title: Senior Product Designer

Company: AiDASH, Inc.

Location: Bengaluru, Karnataka, India

Job Type: Full-time

Category: Product Design / UX Design

Date Posted: 2026-08-21

Experience Level: Mid-Senior Level (4+ years)

Remote Status: On-site

🚀 Role Summary

• Spearhead the definition and implementation of AI-augmented design practices across the organization, integrating cutting-edge AI tools into daily workflows.

• Drive technology transformation by designing innovative solutions for electric utilities, focusing on grid resilience and sustainable infrastructure.

• Collaborate closely with cross-functional teams, including engineering and product management, to deliver high-quality design deliverables from concept to production.

• Leverage AI for accelerated user research synthesis, rapid prototyping, visual exploration, and the creation of production-ready design assets.

• Champion the adoption and best practices of AI in design, mentoring other designers and establishing organizational standards.

📝 Enhancement Note: This role is positioned as a leader in AI integration within the design function, requiring a proactive approach to adopting and evangelizing new AI design technologies. The emphasis on "PreventionFirst™" and "SatelliteFirst™" suggests a focus on data-driven, predictive, and advanced technology solutions within the utility sector.

📈 Primary Responsibilities

• Define and champion the standard for AI-augmented design practice, fundamentally integrating AI tools into the entire design lifecycle.

• Utilize AI tools (e.g., Galileo AI, Uizard, Relume, v0, Framer AI, Figma AI) for rapid ideation, concept generation, and creating interactive prototypes in hours.

• Conduct user research using diverse methods, augmented by AI for transcription, data clustering, pattern extraction, and insight generation.

• Employ generative AI for mood boards, visual explorations, icon/illustration creation, and generating design variations at scale, refining outputs to production quality.

• Build, maintain, and scale AI-augmented design systems, identifying AI-powered automations for repetitive tasks like asset resizing and content population.

• Evangelize and mentor design and product teams on integrating AI tools, establishing best practices, standards, and playbooks.

• Manage project scope, risks, and progress, ensuring clear communication and stakeholder alignment throughout the design process.

• Collaborate with product managers, engineers, and other stakeholders to translate complex requirements into intuitive and effective user experiences.

• Develop journey maps, service blueprints, roadmaps, and contribute to the evolution of the design system.

• Contribute to the company's mission of transforming grid resilience for electric utilities through innovative technology solutions.

📝 Enhancement Note: The responsibilities highlight a blend of hands-on design work and strategic leadership in AI adoption. The emphasis on "accelerate and elevate" design work with AI suggests a focus on efficiency gains and pushing creative boundaries.

🎓 Skills & Qualifications

Education:

• Bachelor’s degree in Design, Human-Computer Interaction (HCI), a related technical field, or equivalent practical experience. Experience:

• 4+ years of progressive experience in User Experience (UX) Design and Product Design.

• Proven track record of leveraging AI tools to significantly accelerate and enhance design processes and outputs.

• Experience working in fast-paced startup environments. Required Skills:

• Figma proficiency: Essential for core design and prototyping tasks.

• AI Design Tool Proficiency: Demonstrated, hands-on expertise with AI design and prototyping tools (e.g., Galileo AI, Uizard, Relume, v0, Framer AI, Figma AI features). Candidates must be able to showcase AI-assisted work in their portfolio.

• User Research: Expertise in diverse research methods (context analysis, interviews, user testing) and augmenting them with AI for data analysis.

• Prototyping: Ability to create interactive prototypes rapidly, leveraging AI for speed and iteration.

• Visual Design: Strong aesthetic sense and ability to create visually compelling and production-ready interfaces.

• Cross-functional Collaboration: Proven ability to work effectively with product managers, engineers, and other stakeholders.

• Communication: Strong verbal and written communication skills, with the ability to deliver engaging presentations.

• AI Tool Integration: Understanding of how to use AI effectively, including prompt engineering for AI design and image-generation tools.

Preferred Skills:

• Experience with generative image tools such as Midjourney, DALL-E, Stable Diffusion, or Adobe Firefly for design exploration.

• Familiarity with service design principles and creating artifacts like journey maps and service blueprints.

• Experience in building, maintaining, and scaling design systems.

• Passion for climate tech, sustainability, or infrastructure modernization.

• Experience with AI prototyping tools like Galileo AI, Uizard, Relume, v0 by Vercel, or Framer AI.

📝 Enhancement Note: The requirement for demonstrated AI-assisted work in the portfolio is critical. Candidates should be prepared to articulate their specific approach to using AI, including prompt engineering and refinement strategies.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• At least two case studies explicitly demonstrating the strategic use of AI tools within the design process.

• Evidence of how AI accelerated or improved workflows, showcasing "before and after" scenarios.

• Detailed explanation of the AI integration process: tools used, prompting strategies, and output refinement.

• Clear articulation of where AI added value versus where human judgment and craft were essential for achieving the final outcome.

• Examples of AI-generated prototypes, AI-enhanced visuals, or AI-driven research synthesis. Process Documentation:

• Ability to document and communicate design processes, particularly those involving AI augmentation.

• Experience creating design deliverables such as journey maps, service blueprints, and roadmaps.

• Understanding of how to integrate AI into design system maintenance and scaling processes.

📝 Enhancement Note: The portfolio is paramount for this role. It needs to go beyond traditional design work to explicitly showcase the candidate's mastery and strategic application of AI in their design practice. The company is looking for a hands-on approach to AI integration, not just theoretical knowledge.

💵 Compensation & Benefits

Salary Range:

• Based on industry benchmarks for Senior Product Designers in Bengaluru, India, with 4+ years of experience and specialized AI skills, a competitive salary range would likely be between ₹15,00,000 to ₹25,00,000 per annum. This range can vary based on the candidate's specific experience, the depth of their AI expertise, and the company's compensation philosophy. Benefits:

• Comprehensive health insurance (medical, dental, vision).

• Paid time off (vacation, sick leave, public holidays).

• Opportunities for professional development and continuous learning in AI and design.

• Potential for stock options or equity in a high-growth startup.

• Contribution to a mission-driven company focused on sustainability and infrastructure modernization.

• Access to cutting-edge AI design tools and technologies.

• Collaborative work environment with a focus on innovation. Working Hours:

• Standard full-time work week, likely around 40 hours per week. AiDASH operates in a fast-paced startup environment, so flexibility may be expected. The role is on-site, implying standard office hours.

📝 Enhancement Note: Salary is estimated based on typical compensation for senior design roles in major Indian tech hubs like Bengaluru. The specific benefits package would need to be confirmed with the employer.

🎯 Team & Company Context

🏢 Company Culture

Industry: Technology, specifically focused on grid resilience for electric utilities, climate tech, and infrastructure modernization.

Company Size: AiDASH is a growing startup that has achieved significant recognition, including multiple Forbes "America's Best Startup Employers" awards and Deloitte's Technology Fast 500 rankings. This suggests a dynamic, innovation-driven environment with a rapidly expanding team.

Founded: While the founding year isn't explicitly stated, the company's sustained growth and multiple years of recognition imply a well-established startup with a solid track record.

Team Structure:

• The role will be part of the product design team, working closely with product management and engineering.

• Expect a collaborative, cross-functional structure common in tech startups, with direct interaction with stakeholders across departments.

• The Senior Product Designer is expected to mentor and evangelize AI adoption, indicating a potential for leadership within the design team. Methodology:

• AiDASH champions the "PreventionFirst™" and "SatelliteFirst™" movements, indicating a data-driven, proactive, and technologically advanced approach to problem-solving.

• The company utilizes AI extensively for its core platform (vegetation, asset, storm, wildfire intelligence) and now seeks to embed AI into its design practice.

• Emphasis on rapid iteration, innovation, and delivering tangible value to clients in the utility sector.

Company Website: www.aidash.com

📝 Enhancement Note: The company culture is likely fast-paced, innovative, and focused on leveraging advanced technology (AI, satellite imagery) to solve critical infrastructure challenges. The emphasis on "Securing Tomorrow Together" suggests a strong sense of mission and collective effort.

📈 Career & Growth Analysis

Operations Career Level: This role is for a Senior Product Designer, indicating a mid-to-senior level position. It requires significant experience and the ability to operate with a high degree of autonomy, drive initiatives, and influence design direction.

Reporting Structure: The Senior Product Designer will likely report to a Head of Design, Director of Product, or a similar senior leadership role within the product or design organization. They will work closely with Product Managers and Engineering leads.

Operations Impact: The Senior Product Designer will have a direct impact on the usability and effectiveness of AiDASH's platform, which is critical for electric utilities managing grid resilience. By integrating AI into the design process, this role will also significantly impact the speed and quality of product development, contributing to the company's competitive edge and ability to scale.

Growth Opportunities:

• Leadership in AI Design: Opportunity to become a recognized leader in AI-augmented design within the company and potentially the industry.

• Technical Skill Advancement: Deepen expertise in advanced AI design tools, prompt engineering, and generative AI applications.

• Mentorship & Evangelism: Develop leadership and communication skills by mentoring junior designers and championing new technologies.

• Impactful Projects: Contribute to transformative projects in the climate tech and infrastructure modernization space, gaining experience in a high-impact industry.

• Career Progression: Potential to move into Lead Product Designer, Design Manager, or specialized AI Design roles as the company grows.

📝 Enhancement Note: This role offers a unique opportunity to shape the future of design practice by integrating AI, coupled with the chance to contribute to a critical industry sector. The growth potential is tied to both design expertise and leadership in emerging AI technologies.

🌐 Work Environment

Office Type: The role is specified as "On-site," indicating a traditional office-based work environment rather than remote. This suggests a focus on in-person collaboration and team synergy.

Office Location(s): Bengaluru, Karnataka, India. This is a major technology hub in India, offering access to talent and a vibrant ecosystem.

Workspace Context:

• Expect a collaborative workspace designed to foster teamwork and innovation, common in tech startups.

• Access to modern design tools, including Figma and various AI platforms, will be provided.

• Opportunities for direct interaction and knowledge sharing with design, product, and engineering teams.

• The environment will likely be dynamic, fast-paced, and results-oriented. Work Schedule:

• Standard full-time working hours are expected, likely aligning with local business hours in Bengaluru (Asia/Kolkata timezone).

• While on-site, a startup environment may necessitate some flexibility in working hours to meet project deadlines or accommodate cross-time zone collaborations.

📝 Enhancement Note: The on-site requirement emphasizes the company's value for in-person collaboration, team building, and the dynamic energy of a shared workspace, which can be particularly beneficial for rapid iteration and brainstorming in design.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A review of your resume and portfolio to assess qualifications and alignment with the role's requirements, especially AI experience.

• Portfolio Presentation & Design Challenge: Candidates will likely present their portfolio, focusing on AI-augmented case studies. A design challenge, potentially involving AI tools, may be given to assess problem-solving skills, design thinking, and AI integration capabilities.

• Hiring Manager/Team Interviews: Discussions with the hiring manager and key team members (e.g., Product Managers, Engineers) to evaluate technical skills, collaboration style, and cultural fit.

• Final Interview: Potentially with senior leadership to discuss strategic vision and overall fit within the company.

Portfolio Review Tips:

• Highlight AI Integration: Clearly showcase at least two case studies detailing your use of AI tools. Use visuals to demonstrate the "before" (traditional approach) and "after" (AI-augmented approach), emphasizing efficiency gains and improved outcomes.

• Explain Your Process: Detail your prompt engineering strategies, how you selected AI tools, and your iterative refinement process for AI-generated outputs. Be transparent about the blend of AI and human craft.

• Quantify Impact: Where possible, quantify the impact of your AI-assisted designs (e.g., reduced design time, increased design output, improved user feedback).

• Showcase Versatility: Demonstrate proficiency in core design tools like Figma alongside your AI tool expertise.

• Tell a Story: Frame your case studies as narratives that highlight the problem, your approach (including AI), the solution, and the results.

Challenge Preparation:

• Be prepared for a design challenge that may require you to rapidly prototype or ideate using AI tools.

• Practice articulating your design decisions and AI integration strategy concisely.

• Familiarize yourself with AiDASH's product and industry to understand potential design challenges they face.

• Prepare to discuss your understanding of AI's strengths and limitations in design contexts.

📝 Enhancement Note: The emphasis on AI in the portfolio and interview process means candidates must be ready to demonstrate practical, hands-on experience with AI design tools and articulate their strategic value.

🛠 Tools & Technology Stack

Primary Tools:

• Figma: Required for core UI/UX design, prototyping, and collaboration.

• AI Design & Prototyping Tools: Proficiency expected in at least two, with examples including Galileo AI, Uizard, Relume, v0 by Vercel, Framer AI, and Figma's AI features.

• Generative Image Tools: Familiarity with Midjourney, DALL-E, Stable Diffusion, or Adobe Firefly for design exploration and asset creation.

Analytics & Reporting:

• While not explicitly listed as a primary requirement for the designer, understanding how design decisions impact user behavior and business metrics (tracked via analytics tools) is beneficial. CRM & Automation:

• Not directly applicable to the Senior Product Designer role, but an understanding of how design integrates with product and engineering workflows is key.

📝 Enhancement Note: The technology stack heavily emphasizes AI tools, positioning this role at the forefront of design technology adoption. Candidates should be ready to discuss their experience and proficiency with these specific AI platforms.

👥 Team Culture & Values

Operations Values:

• Innovation & Transformation: A drive to lead technological change, particularly through AI, to reshape client operations in the utility sector.

• Data-Driven Decisions: Utilizing data (including AI-synthesized insights) to inform design and product strategy.

• Efficiency & Speed: Leveraging AI to dramatically accelerate design and delivery timelines.

• Client Focus: Delivering tangible value and solutions that enhance grid resilience and operational efficiency for utilities.

• Collaboration: Working effectively across teams to achieve shared goals.

• Sustainability & Impact: A passion for contributing to climate tech and modernizing critical infrastructure.

Collaboration Style:

• Highly collaborative and cross-functional, working closely with product management, engineering, and potentially marketing and sales.

• Emphasis on clear communication, proactive feedback, and shared ownership of product success.

• The role involves mentoring and evangelizing, suggesting a culture that values knowledge sharing and team development.

📝 Enhancement Note: The company's values are deeply intertwined with its mission and its embrace of cutting-edge technology like AI and satellite intelligence. Candidates should demonstrate alignment with these values, particularly regarding innovation, impact, and collaboration.

⚡ Challenges & Growth Opportunities

Challenges:

• Defining AI Design Standards: Establishing best practices and workflows for AI integration in a rapidly evolving field.

• Balancing AI Efficiency with Human Craft: Ensuring AI enhances, rather than replaces, critical design judgment and creative intuition.

• Rapidly Evolving AI Landscape: Staying current with new AI tools, techniques, and ethical considerations.

• Translating Complex Utility Needs: Designing intuitive solutions for a technical and critical industry like electric utilities.

• On-site Collaboration in a Startup: Adapting to a fast-paced, dynamic startup environment requiring flexibility and proactive engagement.

Learning & Development Opportunities:

• AI Tool Mastery: Deepen expertise in a wide array of emerging AI design and generative tools.

• Industry Specialization: Gain in-depth knowledge of the electric utility sector and grid resilience challenges.

• Leadership and Mentorship: Develop skills in guiding teams and evangelizing new technologies.

• Strategic Design Influence: Contribute to high-level product strategy and roadmap planning.

• Conferences & Training: Potential opportunities to attend industry events or training related to AI and design.

📝 Enhancement Note: This role presents a significant opportunity to be at the cutting edge of AI in design, offering both challenges and substantial growth potential for ambitious designers.

💡 Interview Preparation

Strategy Questions:

• "Describe your process for integrating AI into a design project from ideation to final output. What specific AI tools do you use, and how do you prompt them?"

• "How do you determine when to use AI versus relying on traditional design methods? Can you provide an example where AI's limitations became apparent?"

• "How would you approach building or scaling a design system using AI? What are the key benefits and challenges?"

• "Imagine we need to design a new feature for our grid monitoring dashboard. How would you use AI to accelerate the research, ideation, and prototyping phases for this feature?" Company & Culture Questions:

• "What interests you about AiDASH's mission in climate tech and grid resilience?"

• "How do you see AI transforming the future of product design, and what is your role in that transformation?"

• "Describe a time you had to influence a team or stakeholders to adopt a new technology or process. How did you approach it?"

• "How do you stay updated on the latest advancements in AI design tools and methodologies?" Portfolio Presentation Strategy:

• Lead with AI Case Studies: Begin your presentation with the case studies that most clearly demonstrate your AI integration.

• Show, Don't Just Tell: Use visuals to illustrate your process, including AI-generated mockups, prompts used, and refined outputs.

• Focus on Value: Clearly articulate the specific benefits (speed, creativity, efficiency) that AI brought to each project.

• Be Honest About Iteration: Don't shy away from showing the iterative nature of working with AI – the refinement, the failed prompts, and how you overcame them.

• Connect to AiDASH: Briefly explain how your skills and experience align with AiDASH's mission and the specific requirements of this Senior Product Designer role.

📝 Enhancement Note: Candidates should prepare concrete examples and be ready to discuss their hands-on experience with AI tools, as this is the central theme of the role and the interview process.

📌 Application Steps

To apply for this Senior Product Designer position:

• Submit your application through the provided link on Greenhouse.

• Curate Your Portfolio: Ensure your portfolio prominently features at least two detailed case studies showcasing your strategic use of AI in design, highlighting your process, tools, and outcomes.

• Tailor Your Resume: Emphasize your experience with AI design tools, Figma, UX/product design principles, and any relevant industry experience (e.g., climate tech, infrastructure). Use keywords from the job description.

• Prepare Your Presentation: Practice walking through your AI-focused portfolio case studies, clearly articulating your approach, challenges, and the value AI brought to your work. Be ready to discuss prompt engineering and AI limitations.

• Research AiDASH: Understand their mission, product, and market position. Prepare to discuss how your skills align with their goals, particularly their "PreventionFirst™" and AI-driven approach.

⚠️ 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.