Product Designer (AI Native)

📍 Job Overview

Job Title: Product Designer (AI Native)

Company: Sarvam

Location: India

Job Type: Full-Time

Category: Product Design / AI-Native Development

Date Posted: 2026-05-03

Experience Level: Mid-Level to Senior (2-5+ years)

Remote Status: On-site

🚀 Role Summary

• Drive end-to-end product ownership, from initial problem identification through to live feature deployment and iteration.

• Leverage AI-native building tools and methodologies to significantly accelerate the product development lifecycle.

• Set a high bar for design taste, product judgment, and execution within an evolving function.

• Utilize data analysis and user feedback to inform iterative improvements and optimize product outcomes.

📝 Enhancement Note: This role is specifically designed for a "Product Designer (AI Native)," indicating a strong emphasis on candidates who not only excel in traditional design principles but have also actively integrated AI coding tools into their workflow. The description highlights a future-forward approach to product development where designers are empowered to build, ship, and iterate rapidly, compressing the traditional product development loop. The role is open to various experience levels, suggesting a need for both foundational talent and experienced leaders who can shape the function.

📈 Primary Responsibilities

• Own the complete product lifecycle for specific features or product areas, from concept to launch and beyond.

• Design and prototype user experiences with a focus on high-quality typography, hierarchy, motion, and interaction.

• Apply deep product judgment to influence activation, engagement, and retention strategies through design.

• Champion a bias for shipping, prioritizing rapid iteration and learning over prolonged private polishing.

• Actively utilize AI coding tools (e.g., Cursor, Claude Code) to build and deploy product features, aiming for at least 40% of the work to be AI-driven.

• Analyze product metrics and user feedback to identify opportunities for improvement and drive subsequent design iterations.

• Collaborate with engineering and other stakeholders to ensure seamless integration of AI-generated code and design systems.

• Contribute to the development and evolution of design systems that can be reasoned over by AI.

• Maintain a strong point of view on product, design, and team methodologies, while remaining open to updating opinions based on new information.

📝 Enhancement Note: The core responsibility revolves around "AI-native building," implying a hands-on approach where the designer is expected to not just conceptualize but also to build and deploy using AI tools. This is a significant departure from traditional design roles and requires a proactive, experimental mindset. The emphasis on "shipping" and "iterating daily" suggests a fast-paced, agile environment common in early-stage tech companies.

🎓 Skills & Qualifications

Education: While no specific degree is mandated, a strong portfolio demonstrating equivalent practical experience and mastery of design principles is essential.

Experience: Open to various levels; demonstrated experience in product design with a proven track record of shipping features is required. Experience with AI-native building tools is a non-negotiable requirement.

Required Skills:

• Exceptional design taste, including proficiency in typography, hierarchy, motion, and interaction design.

• Deep understanding of UX principles and information hierarchy.

• Strong product judgment, with the ability to design for activation, engagement, and retention.

• Proven bias for shipping and rapid iteration; allergic to unnecessary ceremony.

• Strong point of view and confident articulation of opinions, with a willingness to adapt.

• Fluency in AI-native building tools and methodologies, including practical experience with tools like Cursor, Claude Code, or equivalents.

• Ability to build non-trivial prototypes or shipped features primarily using AI coding tools.

• Understanding of how design systems map to component libraries that AI can reason over.

Preferred Skills:

• Experience with MCP (Model-centric programming) concepts.

• Familiarity with composing AI skills and understanding their application in product development.

• Previous experience in a fast-paced startup environment.

• Knowledge of A/B testing methodologies and their application in design iteration.

📝 Enhancement Note: The "fluency in AI-native building" is highlighted as a critical, non-negotiable skill, suggesting that candidates without demonstrable experience in this area will not be considered. The expectation is not just curiosity but active adoption and practical application of these tools. The role is positioned as one where designers can "move from idea to live product without losing themselves in handoff, ceremony, or translation," emphasizing autonomy and direct impact.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Showcase a minimum of one significant project built predominantly using AI coding tools (e.g., Cursor, Claude Code). This could be a working prototype, an internal tool, or a shipped feature.

• Clearly articulate the problem statement, your design process, and the role AI played in development and iteration.

• Demonstrate high-level design taste through visual examples and interaction design.

• Include case studies that highlight your product judgment, focusing on how your designs impacted activation, engagement, or retention metrics.

Process Documentation:

• Detail your approach to end-to-end product ownership, from problem definition to live feature deployment and measurement.

• Explain your methodology for integrating AI tools into your design and development workflow.

• Showcase how you measure the impact of your designs and use data to drive iterative improvements.

• Illustrate your understanding of how design systems and component libraries interface with AI development processes.

📝 Enhancement Note: The portfolio requirement is heavily weighted towards demonstrating practical application of AI-native building. Candidates will need to present tangible evidence of their ability to use these tools to ship products, not just theoretical knowledge. The emphasis is on a compressed, autonomous development loop, so the portfolio should reflect this speed and direct impact.

💵 Compensation & Benefits

Salary Range: Given the "open across levels" and "AI Native" specialization in India, a competitive range is expected. For a Mid-Level Designer (2-5 years) in India, salaries can range from ₹10,00,000 to ₹25,00,000 annually. For Senior/Staff levels, this could extend to ₹30,00,000+ annually, depending on exact experience and impact. For a Senior/Staff level, the range could be ₹25,00,000 - ₹50,00,000+ annually.

Benefits:

• Competitive salary and potential for equity (common in early-stage startups).

• Comprehensive health insurance.

• Opportunities for professional development and continuous learning in cutting-edge AI technologies.

• Exposure to a high-impact role in a rapidly evolving field.

• Autonomy and ownership over product experiences.

• Potential for rapid career growth within a foundational team.

Working Hours: While a standard full-time role is implied (40 hours/week), the emphasis on rapid iteration and shipping suggests a culture that values output and efficiency over strict adherence to hours, potentially offering flexibility for those who can deliver results.

📝 Enhancement Note: Salary estimates are based on current market data for product designers with specialized AI skills in India, considering the company's likely stage (implied early-stage startup due to the "first hires in a function" language) and the demand for AI-native talent. The "open across levels" suggests a broad salary band. Benefits are inferred based on typical offerings for tech startups in India aiming to attract top talent.

🎯 Team & Company Context

🏢 Company Culture

Industry: Artificial Intelligence, Technology, Software Development. Sarvam is positioned at the forefront of AI development in India, aiming to build foundational AI models and applications.

Company Size: As an early-stage company, Sarvam is likely to have a lean, agile team structure. This means high impact for individual contributors and a close-knit working environment.

Founded: Sarvam was founded in 2023, indicating a relatively new company with a strong focus on innovation and building a product from the ground up.

Team Structure:

• The design team is likely small and integrated directly into product development squads.

• Reporting structure is expected to be flat, with direct access to leadership.

Methodology:

• Data-driven decision-making and continuous experimentation are core to the company's approach.

• Emphasis on rapid prototyping and iterative development cycles.

• Adoption of cutting-edge AI technologies and methodologies is a key differentiator.

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

📝 Enhancement Note: Sarvam's focus on building "AI Native" products suggests a culture that values speed, innovation, and direct impact. The company's recent founding implies a dynamic, fast-paced environment where early hires can significantly shape the company's trajectory and culture. The emphasis on AI as a "real multiplier" points to a forward-thinking, technology-centric ethos.

📈 Career & Growth Analysis

Operations Career Level: This role represents a significant evolution of the traditional Product Designer role, focusing on an "AI-Native" approach. It’s positioned for individuals who want to be at the vanguard of how product design and development intersect with AI. The "open across levels" suggests opportunities for individual contributor growth (e.g., Senior Product Designer, Staff Product Designer) or potentially leadership roles in shaping the design function as the company scales.

Reporting Structure: Designers are likely to report to a Head of Product or Head of Design, with close daily interaction with engineering leads and product managers. The structure is designed for rapid communication and decision-making, minimizing hierarchical bottlenecks.

Operations Impact: The designer will have a direct and measurable impact on Sarvam's success by owning product experiences end-to-end. Their ability to leverage AI for rapid shipping and iteration will directly influence the speed of product development, user adoption, and ultimately, the company's competitive edge in the AI space.

Growth Opportunities:

• Skill Specialization: Deepen expertise in AI-native design and development workflows, becoming a leader in this emerging field.

• Leadership Development: Opportunity to define and build out the product design function at Sarvam, potentially leading teams as the company grows.

• Product Strategy: Influence product strategy and roadmap through direct contributions and data-informed insights.

• Industry Influence: Become a recognized voice in the AI product design community through contributions and thought leadership.

📝 Enhancement Note: The role offers a unique opportunity to define the future of product design within an AI-first company. Growth is not just about vertical progression but also about horizontal expansion into new methodologies and influencing the very definition of the design function in an AI-driven world.

🌐 Work Environment

Office Type: On-site. This suggests a collaborative environment where in-person interaction is valued for rapid problem-solving and team cohesion.

Office Location(s): India. Specific city details are not provided, but it implies a presence within India's tech hubs, facilitating access to talent and industry networks.

Workspace Context:

• Expect a dynamic, fast-paced environment common in early-stage tech companies.

• Access to cutting-edge AI development tools and infrastructure.

• A culture that encourages experimentation, learning, and direct contribution.

• Opportunities for close collaboration with a team of highly skilled AI researchers and engineers.

Work Schedule: While full-time (40 hours) is standard, the emphasis on rapid iteration and shipping implies a results-oriented culture. Flexibility may be provided to individuals who consistently deliver high-quality work and meet ambitious timelines.

📝 Enhancement Note: The on-site requirement suggests a deliberate choice to foster a collaborative and intense working environment, crucial for the rapid development and iteration cycle emphasized in the job description.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: Review of application and portfolio to assess design taste, product judgment, and AI-native building experience.

• Design Challenge/Case Study: Candidates may be asked to present a portfolio piece that demonstrates their ability to design, build (with AI tools), and iterate on a product feature. This will likely involve discussing metrics and outcomes.

• Technical/Product Discussion: In-depth conversation about AI tools, design systems, MCP concepts, and how candidates approach product problems.

• Team/Culture Fit: Interviews with potential team members to assess collaboration style, point of view, and alignment with Sarvam's fast-paced, innovative culture.

• Final Round: Discussion with senior leadership to assess strategic thinking and long-term potential.

Portfolio Review Tips:

• Highlight AI-Native Projects: Ensure at least one project prominently showcases your work with AI coding tools (Cursor, Claude Code, etc.), detailing your process and the outcomes.

• Quantify Impact: Clearly present metrics and data that demonstrate the success of your designs, focusing on activation, engagement, and retention.

• Showcase Iteration: Illustrate how you used data and feedback to iterate on designs and features.

• Articulate Your POV: Be prepared to confidently discuss your opinions on design, product strategy, and AI's role in development.

• Design System Integration: Explain how your designs integrate with or inform component libraries that AI can leverage.

Challenge Preparation:

• Be ready to discuss your approach to problems like "How would you design an AI-powered onboarding flow for a new user?" or "How would you improve user retention for X feature using AI tools?"

• Practice articulating your thought process, design decisions, and how you'd measure success.

• Prepare to walk through your portfolio with a focus on the "problem to live feature" lifecycle and the role of AI.

📝 Enhancement Note: The interview process will heavily scrutinize the candidate's practical experience with AI-native building tools. A strong portfolio that directly addresses this requirement, alongside traditional design excellence, will be paramount for advancing.

🛠 Tools & Technology Stack

Primary Tools:

• AI Coding Tools: Cursor, Claude Code, and similar AI-assisted development environments are essential.

• Prototyping Tools: Figma, Sketch, Adobe XD, or similar industry-standard tools for wireframing and high-fidelity mockups.

• Design Systems: Experience in creating or working with established design systems that can be mapped to AI-understandable component libraries.

Analytics & Reporting:

• Tools for tracking user behavior, feature adoption, engagement, and retention (e.g., Amplitude, Mixpanel, Google Analytics, or internal BI tools).

CRM & Automation:

• While not explicitly mentioned, an understanding of how product design integrates with user journeys managed by CRM or marketing automation platforms might be beneficial.

• Familiarity with concepts like MCP (Model-centric programming) for AI workflow composition.

📝 Enhancement Note: Proficiency in AI coding tools is the defining technical requirement for this role. Candidates must demonstrate not just familiarity but active, practical use of these tools in building products.

👥 Team Culture & Values

Operations Values:

• Innovation & Experimentation: A culture that embraces trying new things, especially with AI, and learning from both successes and failures.

• Bias for Action: A strong emphasis on shipping, iterating quickly, and avoiding bureaucratic delays.

• Data-Driven Decisions: Relying on metrics and user feedback to guide product development and design choices.

• High Bar for Taste & Judgment: Maintaining excellence in design aesthetics and strategic product thinking.

• Autonomy & Ownership: Empowering individuals to take full responsibility for their work and drive outcomes.

Collaboration Style:

• Cross-functional Integration: Designers are embedded within product teams, working hand-in-hand with engineers and researchers.

• Open Communication: Encouraging direct feedback and transparent discussions to accelerate learning and problem-solving.

• Shared Ownership: A collective responsibility for product success, where designers contribute beyond traditional UI/UX to product strategy and execution.

📝 Enhancement Note: The culture values individuals who are proactive, self-starters, and comfortable with ambiguity, traits essential for shaping a new function within an early-stage AI company.

⚡ Challenges & Growth Opportunities

Challenges:

• Pioneering a New Function: Being at the forefront of AI-native product design means establishing best practices and workflows for a nascent field.

• Rapid Pace of Innovation: Keeping up with the fast-evolving AI landscape and integrating new tools and techniques.

• Balancing Design Excellence with Speed: Ensuring high-quality design standards are met while maintaining the rapid iteration cycles expected with AI tools.

• Defining AI-Driven Design Systems: Figuring out how design systems can be effectively leveraged by AI for component generation and consistency.

Learning & Development Opportunities:

• Cutting-Edge AI Exposure: Direct involvement with advanced AI models and development tools.

• Impactful Product Development: Opportunity to shape products that could define the future of AI in India.

• Leadership Potential: Grow into leadership roles as the company scales and the design function matures.

• Industry Recognition: Become a thought leader in the emerging field of AI-native product design.

📝 Enhancement Note: This role presents a significant opportunity for individuals who thrive on building something new and are excited by the challenges of a rapidly evolving technological frontier.

💡 Interview Preparation

Strategy Questions:

• "Describe a product experience you designed and built using AI tools. What was the problem, your process, the outcome, and what did you learn?"

• "How do you balance a high bar for design taste with the need for rapid iteration and shipping?"

• "What is your point of view on how design systems should evolve to better support AI-driven development?"

Company & Culture Questions:

• "What interests you most about Sarvam's mission and our focus on AI-native products?"

• "How do you handle ambiguity and rapid change in a startup environment?"

• "Describe a time you had a strong opinion that was challenged. How did you handle it and what was the outcome?"

Portfolio Presentation Strategy:

• Focus on AI Impact: Dedicate significant time to your AI-native projects, clearly showing the tools used, the development process, and quantifiable results.

• Tell a Compelling Story: Structure your case studies to narrate the journey from problem to solution, highlighting your critical thinking and decision-making.

• Be Prepared for Technical Depth: Anticipate questions about AI tools, MCP, design systems, and how you map design concepts to code components.

• Showcase Iteration: Demonstrate how you used data and feedback to refine your designs and features post-launch.

📝 Enhancement Note: Interviewers will be looking for a blend of strong design fundamentals, practical AI tool proficiency, and a proactive, owner-mentality. Be ready to demonstrate both your creative vision and your technical execution capabilities.

📌 Application Steps

To apply for this Product Designer (AI Native) position:

• Submit your application through the provided link on Ashby.

• Curate Your Portfolio: Ensure your portfolio prominently features projects where you utilized AI-native building tools (Cursor, Claude Code, etc.). Clearly articulate the problem, your process, the AI contribution, and the measurable outcomes.

• Optimize Your Resume: Highlight your experience in product design, UX/UI, and specifically any projects or roles involving AI development, rapid prototyping, or iterative shipping. Use keywords aligned with the job description.

• Prepare Your Narrative: Practice articulating your perspective on the future of product design with AI, your product judgment, and your bias for shipping. Be ready to walk through your portfolio with confidence.

• Research Sarvam: Understand the company's mission, its focus on foundational AI models, and its position in the Indian tech landscape. This will help you articulate your cultural fit and strategic alignment.

⚠️ 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.