Senior Product Designer

📍 Job Overview

Job Title: Senior Product Designer

Company: GreyLabs AI

Location: Mumbai, Maharashtra, India / Bengaluru, Karnataka, India

Job Type: FULL_TIME

Category: Product Design / UX/UI

Date Posted: 2026-06-08

Experience Level: 5-10 years

Remote Status: On-site

🚀 Role Summary

• Architecting the interaction layer for Agentic AI within the BFSI sector, focusing on user configuration, supervision, and trust in autonomous bots.

• Leveraging AI tooling to accelerate research, prototyping, and iteration, understanding the shrinking gap between design and code in an AI-native world.

• Developing and scaling a comprehensive design system to ensure consistency across high-density BFSI modules and complex audit journeys.

• Distilling noisy, data-heavy financial workflows into intuitive, high-clarity interfaces, prioritizing user-centricity and polish.

📝 Enhancement Note: This role is positioned as a "zero-to-one" product design opportunity within a fast-paced AI startup, emphasizing end-to-end ownership and direct collaboration with founders. The core focus is designing for AI-centric workflows in the highly regulated BFSI sector, requiring a blend of technical literacy, systems thinking, and sophisticated design craft.

📈 Primary Responsibilities

• AI-First Experience Design: Conceptualize and design user experiences where AI is the primary engine, defining how users interact with, manage, and trust autonomous agents.

• AI-Assisted Design Processes: Utilize modern AI tooling to enhance the efficiency of user research, prototyping, and iterative design cycles.

• Technical Collaboration: Work closely with engineering teams, possessing a functional understanding of front-end fundamentals (HTML/CSS/JS) and Git workflows to ensure seamless implementation.

• Systems Thinking & Architecture: Design scalable and consistent user interfaces by developing and maintaining a robust design system for complex BFSI modules and multi-step audit trails.

• Workflow Simplification: Translate intricate, data-rich financial processes into clear, intuitive, and user-friendly interfaces that enhance usability and reduce complexity.

• High-Fidelity Execution: Produce detailed, pixel-perfect designs with a sophisticated visual sense and meticulous attention to detail for all product interfaces.

• User-Centricity & Polish: Balance rapid iteration with a strong commitment to usability, aesthetic appeal, and adherence to UX best practices.

• Ambiguity Navigation: Thrive in an environment with no established playbook, experimenting and learning as the technology and product evolve.

📝 Enhancement Note: The responsibilities highlight a proactive, ownership-driven approach. Candidates are expected to not only execute design tasks but also to define design strategy, build foundational design infrastructure (design system), and actively contribute to shaping the product's core interaction model with AI.

🎓 Skills & Qualifications

Education: Not explicitly specified, but a degree in Design, HCI, Computer Science, or a related field is typically expected for senior roles in this domain.

Experience: 5+ years of experience in product design, with a strong emphasis on B2B SaaS or environments involving complex workflows.

Required Skills:

• Product Design: Proven experience in end-to-end product design lifecycle from conceptualization to launch.

• Portfolio Excellence: A strong portfolio showcasing professional-grade web products that solve complex problems with elegant UI solutions.

• Figma Mastery: Expert-level proficiency in Figma for design, prototyping, and collaboration.

• Systems Thinking: Ability to design logical systems and scalable architectures beyond static screen flows.

• Technical Literacy: Functional understanding of front-end fundamentals (HTML/CSS/JS) and Git workflows (commits/PRs) for effective engineering collaboration.

• User-Centric Design: Deep understanding and application of usability principles, UX best practices, and user research methodologies.

• Visual Design Sophistication: A keen eye for detail, aesthetics, and creating polished, high-fidelity interfaces.

• Communication Skills: Articulate design decisions clearly to technical and non-technical stakeholders, backed by research, data, and business logic.

Preferred Skills:

• AI Experience Design: Previous professional or personal experience designing for AI-generated outputs, "human-in-the-loop" systems, or managing uncertainty in user interfaces.

• BFSI Sector Familiarity: Experience designing for financial services, banking, fintech, or insurance industries.

• Design System Development: Experience in building, scaling, and maintaining design systems.

• AI-Assisted Prototyping Tools: Eagerness and ability to adopt and leverage new AI tooling for design acceleration.

• Interaction Design: Expertise in designing complex, multi-step workflows and interactive elements.

📝 Enhancement Note: The emphasis on "AI Curiosity" and "AI Experience Design" as a significant plus indicates a strategic focus for GreyLabs AI. Candidates with even personal projects or a strong theoretical understanding of designing for AI will be highly competitive. The requirement for understanding front-end fundamentals and Git is crucial for effective collaboration in a lean, agile startup environment.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• End-to-End Case Studies: Showcase 2-3 detailed case studies demonstrating your ownership of the design process from problem definition, user research, ideation, wireframing, prototyping, high-fidelity design, to final execution and impact.

• Problem-Solving Focus: Clearly articulate the business and user problems addressed by your designs, with a focus on how your solutions delivered tangible improvements.

• Complex Workflow Design: Highlight examples of designing for intricate, multi-step processes, ideally within B2B SaaS or data-intensive environments.

• AI/ML Integration Examples (if applicable): If you have experience designing for AI-driven features or systems, dedicate a section to explaining the unique challenges and solutions in your portfolio.

• Design System Contribution/Usage: Demonstrate your understanding and application of design systems, including contributions to or effective utilization of existing systems.

Process Documentation:

• Design Process Articulation: Be prepared to walk through your design process for each case study, explaining your rationale, tools used, and how you collaborated with product managers and engineers.

• Iteration and Feedback: Show evidence of how you incorporated user feedback and iterated on designs to achieve optimal outcomes.

• Metrics and Impact: Quantify the impact of your designs wherever possible, using metrics related to user engagement, task completion, efficiency, or business outcomes.

📝 Enhancement Note: Given the "zero-to-one" nature of the role and its focus on Agentic AI, portfolios should strongly emphasize systems thinking, the ability to design for complex/ambiguous states, and any experience with AI-adjacent design challenges. Demonstrating impact through metrics is critical for a company focused on enterprise-grade solutions.

💵 Compensation & Benefits

Salary Range: Based on industry benchmarks for Senior Product Designers in Mumbai and Bengaluru, India, with 5-10 years of experience in B2B SaaS and AI-focused roles, the estimated annual salary range would be ₹15,00,000 to ₹25,00,000. This range can vary based on the candidate's specific experience, portfolio strength, and negotiation.

Benefits:

• Competitive salary and potential for stock options in a Series A-funded startup.

• Comprehensive health insurance coverage.

• Opportunities for professional development, including attending industry conferences and workshops.

• A dynamic and collaborative work environment with a focus on innovation and cutting-edge AI technology.

• Paid time off and flexible working arrangements (though the role is primarily on-site).

• Direct impact on product strategy and company direction as an early team member.

Working Hours: Standard full-time working hours are expected, likely around 40 hours per week, with flexibility often provided in a startup environment. However, the role is designated as on-site, requiring consistent presence in the office.

📝 Enhancement Note: Salary estimation is based on current market data for senior design roles in India's tech sector, adjusted for the specialization in AI and B2B SaaS. The inclusion of "Series A-funded company" suggests potential for equity, which is a significant benefit for early employees. The on-site requirement is a key distinction from remote roles.

🎯 Team & Company Context

🏢 Company Culture

Industry: Artificial Intelligence (AI), Voice AI, Enterprise Software, Financial Technology (FinTech), Banking, Financial Services, and Insurance (BFSI).

Company Size: Series A-funded, indicating growth and a team likely ranging from 50-150 employees, with potential for rapid scaling. This means operations are becoming more formalized but still retain startup agility.

Founded: Information not provided, but its Series A funding suggests it's an established startup, likely founded within the last 3-7 years, with a proven product-market fit.

Team Structure:

• Product & Engineering Focused: As an AI company, the core teams will be product management, engineering (AI/ML, backend, frontend), and design.

• Cross-Functional Collaboration: The Senior Product Designer will work closely with founders, product managers, and engineering leads, requiring strong collaborative skills.

• Agile Development: Expect an agile development methodology, emphasizing rapid iteration, continuous feedback, and close team communication.

Methodology:

• AI-First Development: Focus on building AI as a core component, not an add-on. This involves designing for AI's capabilities and limitations.

• Data-Driven Decisions: Product and design decisions will be informed by user data, performance metrics, and market analysis.

• User-Centricity in a Regulated Space: Balancing user needs with the stringent requirements of the BFSI sector (security, compliance, auditability).

Company Website: GreyLabs AI (Assuming this is the correct domain based on the job source's domain)

📝 Enhancement Note: GreyLabs AI operates at the intersection of cutting-edge AI and a highly regulated industry. The culture likely values innovation, technical excellence, pragmatism, and a deep understanding of enterprise client needs. The "zero-to-one" aspect implies a culture that embraces rapid experimentation and learning.

📈 Career & Growth Analysis

Operations Career Level: Senior Product Designer. This level typically implies significant autonomy, ownership of complex features or product areas, and mentorship responsibilities. It sits below Lead or Head of Design but above mid-level roles.

Reporting Structure: Likely reports directly to a Head of Product, VP of Product, or potentially one of the Founders, given the early-stage nature of the company. Collaboration with Engineering Leads and Product Managers will be constant.

Operations Impact: The Senior Product Designer will be instrumental in defining the user experience of GreyLabs AI's core Voice AI products. Their work will directly influence customer adoption, user satisfaction, efficiency gains for BFSI clients, and ultimately, the company's market differentiation and revenue growth. The "AI-First Experience" and "Taste" aspects suggest design is seen as a critical competitive advantage.

Growth Opportunities:

• Leadership Trajectory: Potential to grow into a Lead Product Designer or Head of Design role as the company scales, building and managing a design team.

• Specialization: Deepen expertise in AI/ML UX, voice interfaces, or complex enterprise workflow design within the BFSI domain.

• Strategic Influence: Contribute significantly to product strategy, roadmap prioritization, and the definition of the company's design vision.

• Mentorship: Opportunity to mentor junior designers and establish design best practices within the organization.

• Equity and Impact: As an early employee, significant potential for personal financial growth through equity and direct impact on a rapidly scaling company.

📝 Enhancement Note: This role offers a significant opportunity for growth, particularly for someone looking to specialize in AI product design and influence the direction of a product from its early stages. The emphasis on "zero-to-one" and "taste" suggests that impact and strategic contribution are highly valued, offering a faster growth trajectory than in larger, more established companies.

🌐 Work Environment

Office Type: The role is designated as "On-site," suggesting a physical office presence in Mumbai or Bengaluru. This implies a traditional office environment conducive to in-person collaboration, team meetings, and potentially a structured workday.

Office Location(s): Mumbai, Maharashtra, India; Bengaluru, Karnataka, India. These are major tech hubs, offering access to talent and a vibrant ecosystem.

Workspace Context:

• Collaborative Hub: The office environment likely fosters close collaboration between design, product, and engineering teams, encouraging spontaneous discussions and whiteboarding sessions.

• Technology Access: Expect access to necessary design tools (Figma, AI prototyping tools) and robust IT infrastructure to support complex design and development workflows.

• Startup Culture: While on-site, the environment is likely dynamic, fast-paced, and focused on innovation, with a culture that encourages open communication and problem-solving.

Work Schedule: Standard full-time hours are expected. While the role is on-site, some flexibility in daily hours might be available, common in tech startups, but the core expectation is consistent office presence for team synergy and collaboration.

📝 Enhancement Note: The "On-site" requirement is a key differentiator. It suggests the company values in-person interaction for its core teams, especially in a startup environment where rapid iteration and close alignment between design, product, and engineering are critical. This environment is best suited for individuals who thrive on direct collaboration and team synergy.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screen: A brief call with a recruiter or hiring manager to assess basic qualifications, cultural fit, and understanding of the role.

• Portfolio Presentation & Discussion: A dedicated session where the candidate presents 1-2 key case studies from their portfolio, focusing on their process, problem-solving, and impact. This is where technical literacy and AI curiosity will be probed.

• Design Challenge/Exercise: A take-home or live design challenge focused on a specific problem relevant to GreyLabs AI's domain (e.g., designing an interface for AI supervision in a BFSI context).

• Cross-Functional Interviews: Interviews with Product Managers, Engineering Leads, and potentially Founders to assess collaboration skills, technical understanding, strategic thinking, and alignment with company values.

• Final Round: Likely with senior leadership or founders to discuss broader strategic contributions and final fit.

Portfolio Review Tips:

• Narrative is Key: Structure your portfolio around compelling stories. Clearly define the problem, your role and process, the constraints, your design decisions, and the measurable outcomes.

• Focus on Impact: Highlight quantifiable results. For this role, demonstrating how your designs solved complex problems or improved efficiency in B2B or regulated environments is crucial.

• Showcase AI/ML Design Thinking: If you have relevant experience, explicitly detail how you approached designing for AI, including challenges like trust, transparency, and user control.

• Technical Collaboration: Be ready to discuss how you worked with engineers, your understanding of front-end constraints, and your experience with Git.

• Visual Polish and Detail: Ensure your presentation is as polished as your designs. High-fidelity mockups and clear explanations are paramount.

Challenge Preparation:

• Understand the Domain: Research BFSI workflows, AI agentic systems, and common challenges in regulated industries.

• Focus on Process, Not Just Solution: Demonstrate a structured approach to problem-solving, even if the final solution is simple. Articulate your thought process clearly.

• Consider AI Implications: How would AI be leveraged or managed within the challenge scenario? What are the UX implications of AI in this context?

• Time Management: If it's a take-home challenge, plan your time effectively. If it's live, practice thinking aloud and explaining your decisions concisely.

📝 Enhancement Note: The emphasis on "AI-First Experience," "Technical Fluency," and "Systems Thinking" means interviewers will be looking for more than just aesthetic design skills. They'll assess how well a candidate can think structurally, collaborate technically, and conceptualize user experiences for advanced AI applications.

🛠 Tools & Technology Stack

Primary Tools:

• Figma: Expert-level proficiency is required for UI design, prototyping, and collaboration.

• AI-Assisted Prototyping Tools: Eagerness to adopt and utilize modern AI tools for accelerating design research, ideation, and iteration. Examples might include tools for AI-powered mood boards, content generation, or rapid prototyping.

• User Research Tools: Familiarity with tools for surveys, interviews, usability testing (e.g., UserTesting.com, Maze, SurveyMonkey).

Analytics & Reporting:

• Product Analytics Tools: Familiarity with tools like Amplitude, Mixpanel, or Pendo to understand user behavior and product performance.

• Data Visualization Tools: Basic understanding of how to interpret data presented in dashboards (e.g., Tableau, Looker, or internal tools) to inform design decisions.

CRM & Automation:

• CRM Systems: Awareness of how CRM systems (like Salesforce) are used within B2B contexts, as financial institutions are heavy users.

• Workflow Automation Concepts: Understanding of how automation impacts user workflows, relevant to designing for AI-driven processes.

• Version Control: Functional understanding of Git for collaborating with engineers.

📝 Enhancement Note: The specific mention of "AI-assisted prototyping tools" and the requirement for understanding "front-end fundamentals (HTML/CSS/JS) and Git workflows" are critical indicators of the company's tech-forward and collaborative approach. Candidates should highlight their adaptability and willingness to learn new tools, especially those leveraging AI.

👥 Team Culture & Values

Operations Values:

• Innovation & Frontier Thinking: A strong drive to explore and build on the cutting edge of AI technology, comfortable with ambiguity and rapid change.

• Technical Excellence & Reliability: A commitment to building robust, enterprise-grade solutions where performance, security, and auditability are paramount, especially for BFSI clients.

• User-Centricity with Pragmatism: Balancing sophisticated user experiences with the practical needs and constraints of enterprise clients and regulated environments.

• Collaboration & Ownership: Fostering an environment where team members take ownership of their work and collaborate effectively across functions to achieve common goals.

• Data-Driven Approach: Utilizing data and insights to inform decisions, measure impact, and drive continuous improvement in both product and processes.

Collaboration Style:

• Cross-Functional Integration: Design is deeply integrated with Product Management and Engineering, fostering a "one-team" mentality. Expect regular syncs, joint problem-solving sessions, and shared accountability.

• Open Feedback Culture: Encouraging constructive feedback to drive iteration and improvement, with a focus on continuous learning and growth.

• Proactive Communication: Emphasizing clear, concise, and proactive communication to keep stakeholders informed and aligned, especially in a fast-paced startup environment.

📝 Enhancement Note: The company's focus on AI and BFSI implies a culture that values deep problem-solving, intellectual curiosity, and a high degree of professionalism and accountability. The "zero-to-one" aspect suggests a culture that rewards initiative and the ability to define new processes and solutions.

⚡ Challenges & Growth Opportunities

Challenges:

• Designing for Agentic AI: Navigating the complexities of user trust, control, and transparency when AI agents perform tasks autonomously. This is a relatively new design frontier.

• BFSI Sector Nuances: Designing for a highly regulated industry with stringent security, compliance, and auditability requirements, which can sometimes conflict with user experience goals.

• Data-Heavy Workflows: Simplifying and making intuitive complex, data-intensive financial processes for users.

• Rapid Scaling: Adapting design processes and systems to support the company's rapid growth and evolving product needs.

• "Zero-to-One" Ambiguity: Operating without a pre-existing playbook, requiring significant initiative, experimentation, and comfort with uncertainty.

Learning & Development Opportunities:

• AI/ML UX Specialization: Become a leading expert in designing for AI-driven products, a highly sought-after skill.

• BFSI Domain Expertise: Develop deep knowledge of the financial services industry's operational challenges and regulatory landscape.

• Foundational Design System Building: Gain experience in creating and scaling a design system from early stages.

• Leadership Development: Opportunities to mentor junior designers and take on leadership responsibilities as the team grows.

• Exposure to Founders: Direct interaction with company leadership, providing insights into startup strategy and growth.

📝 Enhancement Note: The primary challenge and growth opportunity lie in pioneering design solutions for Agentic AI within a critical industry. Candidates who are proactive problem-solvers and eager to learn will find significant development potential here.

💡 Interview Preparation

Strategy Questions:

• "How would you approach designing an interface for a user to supervise and potentially override an AI agent performing collections calls?" (Focus on trust, control, transparency, auditability).

• "Describe a time you simplified a complex, data-heavy workflow. What was your process, and what was the outcome?" (Assess systems thinking, simplification skills, and impact).

• "How do you ensure a design system remains scalable and consistent as a product grows and new features are added?" (Evaluate design system thinking and long-term vision).

• "Given you understand front-end basics and Git, how would you collaborate with engineers to ensure your design vision is implemented accurately and efficiently?" (Assess technical collaboration and communication). Company & Culture Questions:

• "What interests you about GreyLabs AI's mission and our focus on Voice AI for BFSI?" (Gauge genuine interest and understanding of the market).

• "Describe your experience or interest in designing for AI-generated outputs or human-in-the-loop systems. What are the unique UX challenges?" (Probe AI curiosity and relevant experience).

• "How do you handle ambiguity and operate in a 'zero-to-one' environment where there isn't a clear playbook?" (Assess comfort with startup environments and initiative). Portfolio Presentation Strategy:

• Start with the "Why": Clearly articulate the business problem and user need your project addressed.

• Walk Through Your Process: Detail your research, ideation, and iteration steps. Explain the rationale behind your key design decisions.

• Highlight AI/Technical Elements: If applicable, explain how AI was integrated or how your technical understanding informed your design.

• Showcase Visual Craft: Ensure high-fidelity mockups are clean, detailed, and demonstrate sophisticated UI/UX.

• Quantify Impact: Conclude with measurable results or key learnings. Be prepared to discuss metrics.

📝 Enhancement Note: Interview preparation should focus on demonstrating not just design craft, but also strategic thinking, technical fluency, and a genuine passion for AI and its application in complex enterprise environments. The ability to articulate a clear, data-informed design process is paramount.

📌 Application Steps

To apply for this Senior Product Designer position:

• Submit your application through the provided link on Kula.

• Portfolio Customization: Tailor your portfolio to highlight your most relevant B2B SaaS, complex workflow, and ideally AI/ML design projects. Ensure case studies clearly articulate problem, process, solution, and impact.

• Resume Optimization: Update your resume to emphasize keywords such as "Product Design," "B2B SaaS," "AI/ML UX," "Design Systems," "Figma," "User Research," "Systems Thinking," and specific BFSI or regulated industry experience if applicable. Quantify achievements where possible.

• Interview Preparation: Practice articulating your design process, your approach to technical collaboration, and your understanding of AI's role in user experience. Prepare to present 1-2 key portfolio projects in detail.

• Company Research: Familiarize yourself with GreyLabs AI's products, mission, and the BFSI sector's challenges. Understand their AI-first approach and the implications for design.

⚠️ 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.