Product Designer

📍 Job Overview

Job Title: Product Designer

Company: Prophecy

Location: Bengaluru, Karnataka, India

Job Type: Full-Time

Category: Product Design / UX Design

Date Posted: April 22, 2026

Experience Level: Mid-Level (3-5 years)

Remote Status: On-site

🚀 Role Summary

• Design intuitive, AI-powered workflows for enterprise data platforms, simplifying complex data preparation and analysis.

• Own the end-to-end product design lifecycle, from user research and ideation through to prototyping and final delivery.

• Collaborate closely with Product Management, Engineering, and Leadership teams to influence product direction and ensure high-quality execution.

• Focus on creating seamless, scalable, and human-centered user experiences that drive real business outcomes in the AI-driven data analytics space.

• Translate technical concepts and complex data workflows into elegant, functional, and user-friendly interfaces.

📝 Enhancement Note: While the role is "Product Designer," the core responsibilities and required skills heavily lean into UX Design principles, with a specific emphasis on AI-driven interactions within enterprise SaaS and data analytics platforms. The target user is business analysts, making user-centricity and workflow simplification paramount.

📈 Primary Responsibilities

• Strategic Problem Solving: Deconstruct complex user needs and business challenges within data preparation and analytics workflows, translating them into actionable, user-centric design solutions.

• AI & Interaction Design: Conceptualize and design innovative AI-powered features, agentic workflows, and assistive experiences that enhance user efficiency and data insight generation.

• End-to-End Product Design: Develop comprehensive design artifacts including wireframes, user flows, interactive prototypes, and high-fidelity mockups for web-based enterprise SaaS applications.

• Design System Development: Contribute to and leverage established design systems to ensure product consistency, scalability, and efficient design implementation across the platform.

• User Research & Validation: Plan and conduct user research, usability testing, and gather qualitative/quantitative feedback to validate design hypotheses and iteratively improve user experiences.

• Cross-functional Collaboration: Partner effectively with Product Managers, Software Engineers, and other stakeholders to ensure design feasibility, technical alignment, and successful product launches.

• Data-Driven Design: Utilize data analytics and user feedback to inform design decisions and measure the impact of design solutions on user behavior and business objectives.

• Information Architecture: Structure and organize complex information and features within the platform to enhance discoverability and ease of use for business analysts.

📝 Enhancement Note: The primary responsibilities are inferred to include a strong focus on user research and validation, given the emphasis on solving "real problems" and ensuring alignment with "real user needs." The AI and Interaction Design responsibility is specifically highlighted due to the company's mission in AI Data Prep and Analytics.

🎓 Skills & Qualifications

Education:

• Bachelor's degree in Design (e.g., from NIFT or equivalent), Information Technology, Computer Science, or a related field.

Experience:

• 3–5+ years of professional experience in Product Design, UX Design, or a similar role.

Required Skills:

• Product/UX Design Expertise: Proficient in the full design lifecycle, including user research, ideation, wireframing, prototyping, and high-fidelity visual design.

• AI Interaction Design: Experience designing intuitive and effective interactions for AI-driven features, agentic workflows, and automation.

• Enterprise SaaS Design: Understanding of the unique design considerations for complex, B2B enterprise software platforms.

• Systems Thinking: Ability to design for scalability, consistency, and contribution to comprehensive design systems.

• User Research & Usability Testing: Skilled in planning and executing user research methodologies to gather actionable insights and validate design solutions.

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

• Prototyping Tools: Proficiency with industry-standard design and prototyping tools (e.g., Figma, Sketch, Adobe XD).

Preferred Skills:

• Data Visualization: Experience designing effective data visualizations and dashboards.

• Information Architecture: Strong understanding of structuring complex information for clarity and ease of navigation.

• Technical Acumen: Familiarity with how designs translate into code and experience collaborating closely with engineering teams.

• Design System Contribution: Experience contributing to or building scalable design systems.

• Familiarity with Data Workflows: Understanding of common data preparation, transformation, and analytics processes.

📝 Enhancement Note: The "Technical Understanding" requirement is interpreted as a need for the designer to grasp the feasibility and implementation aspects of their designs, especially given the context of complex data systems and AI. The education requirement is broadened to include equivalent practical experience, common in design fields.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Demonstrate a strong understanding of the end-to-end design process, from initial problem definition to final solution.

• Showcase at least 2-3 comprehensive case studies detailing complex design challenges, your approach, and the impact of your solutions.

• Highlight projects specifically related to AI, data platforms, B2B SaaS, or complex workflow simplification.

• Clearly articulate your role, the design decisions made, and the rationale behind them in each case study.

Process Documentation:

• Detail how you approach user research and translate findings into design requirements.

• Explain your methodology for designing and iterating on AI-driven features or complex workflows.

• Demonstrate experience with creating and maintaining design systems or style guides.

• Show evidence of collaboration with engineering and product teams throughout the design and development process.

• Include examples of how your designs have driven measurable business outcomes or improved user efficiency.

📝 Enhancement Note: The portfolio requirements are tailored to emphasize the specific needs of this role: AI interaction design, complex data workflows, and enterprise SaaS contexts. Demonstrating a structured design process and measurable impact is crucial for mid-level product designers.

💵 Compensation & Benefits

Salary Range:

• Based on industry benchmarks for a Product Designer with 3-5 years of experience in Bengaluru, India, the estimated annual salary range is ₹12,00,000 to ₹20,00,000. This range accounts for the specialized skills in AI, data platforms, and enterprise SaaS, as well as the cost of living in Bengaluru.

• Methodology: This estimate is derived from analyzing salary data for Product Designers in major Indian tech hubs, considering the specific industry (AI/Data Analytics), company stage (startup/growth), and experience level, using data from reputable job boards and salary aggregate sites.

Benefits:

• Competitive compensation package.

• Fair and open equity awards for all employees, reflecting ownership and contribution.

• Private medical insurance, ensuring comprehensive healthcare coverage.

• Opportunities for professional growth and career management, with a focus on individual development.

• Experience building a transformative product in a high-growth technology sector.

• High learning opportunities through challenging projects and cross-functional collaboration.

Working Hours:

• Standard full-time working hours are expected, typically around 40 hours per week.

• While specific schedules may vary based on team needs and project deadlines, the company culture emphasizes managing growth and ownership, suggesting a degree of flexibility within the standard work week.

📝 Enhancement Note: Salary range is estimated based on typical compensation for this role in Bengaluru, India. The benefits listed are directly extracted from the job description and framed to highlight their relevance to a product designer seeking growth and impact.

🎯 Team & Company Context

🏢 Company Culture

Industry: Software, Data & Analytics, Artificial Intelligence, Technology. Prophecy operates at the intersection of modern data infrastructure and AI, aiming to democratize data analytics.

Company Size: The specific size is not provided, but the mention of "leading enterprises" and building a "transformative product" suggests a growth-stage startup or scale-up environment, likely between 50-200 employees. This implies a dynamic, fast-paced culture where individual contributions have significant visibility and impact.

Founded: The founding date is not specified, but the focus on "next generation AI Data Prep and Analytics" and "modern data infrastructure" indicates a relatively recent founding, likely within the last 5-10 years, focused on cutting-edge technology.

Team Structure:

• The Product Design team likely works closely with Product Management and Engineering. Expect a collaborative, cross-functional structure where designers are embedded within product teams.

• Reporting lines would typically be to a Head of Product Design, Design Lead, or potentially a VP of Product/Engineering in a smaller organization.

Methodology:

• Data-Driven Design: Decisions are informed by user research, usability testing, and product analytics.

• Agile Development: Design processes are integrated into agile sprints, requiring adaptability and iterative feedback loops.

• Human-Centered Approach: A strong emphasis on understanding user needs and translating them into intuitive, efficient experiences, especially for business analysts.

• AI Integration: A core focus on designing for AI-powered assistance and automation within data workflows.

Company Website: prophecy.io

📝 Enhancement Note: Company size and founding date are inferred based on industry context and company description. The emphasis on "leading enterprises" and "transformative product" suggests a growth-stage company.

📈 Career & Growth Analysis

Operations Career Level: This role is positioned as a Mid-Level Product Designer (3-5 years of experience). It offers significant ownership and the opportunity to shape core product experiences, moving beyond execution to strategic input.

Reporting Structure: The designer will likely report to a Design Lead or Head of Design, working within a matrixed structure alongside Product Managers and Engineering teams. This allows for direct influence on product roadmaps and execution.

Operations Impact: The designer's work directly impacts the usability and effectiveness of Prophecy's AI Data Prep and Analytics platform. By simplifying complex data workflows and enabling faster insights, their contributions directly influence customer adoption, satisfaction, and ultimately, the company's revenue and market position.

Growth Opportunities:

• Skill Specialization: Deepen expertise in AI interaction design, data visualization, and designing for complex enterprise workflows.

• Leadership Potential: Grow into a Senior Product Designer or Design Lead role, mentoring junior designers and owning larger product areas.

• Cross-functional Influence: Expand influence across product strategy, roadmapping, and business development through close collaboration with leadership.

• Industry Expertise: Develop a strong understanding of the AI, data analytics, and enterprise SaaS markets, becoming a subject matter expert.

• Design System Leadership: Contribute significantly to or lead the evolution of Prophecy's design system.

📝 Enhancement Note: The "Operations Impact" is reframed to "Business Impact" relevant to a design role, focusing on how design contributes to the company's overall success. Growth opportunities are aligned with typical career progression for mid-level designers in a tech startup.

🌐 Work Environment

Office Type: The role is specified as "On-site" in Bengaluru. This suggests a traditional office environment designed to foster collaboration, innovation, and team cohesion.

Office Location(s): Bengaluru, Karnataka, India. This is a major tech hub in India, known for its vibrant startup ecosystem and access to talent.

Workspace Context:

• Collaborative Environment: The on-site nature implies opportunities for in-person brainstorming, spontaneous discussions, and direct team interaction, crucial for design problem-solving.

• Tools & Technology: Access to modern design software, collaboration tools, and potentially dedicated spaces for user research and prototyping.

• Team Interaction: Regular opportunities to engage with product managers, engineers, and fellow designers, facilitating a shared understanding of goals and challenges.

Work Schedule: Standard full-time hours (approx. 40 hours/week) are expected, with potential for flexibility inherent in growth-stage companies. The emphasis on "end-to-end ownership" suggests a results-oriented culture.

📝 Enhancement Note: The "Workspace Context" is inferred based on the "On-site" designation and the nature of a tech company environment, focusing on aspects relevant to a designer's daily work and collaboration.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A brief call with a recruiter to assess basic qualifications, experience, and cultural fit.

• Portfolio Review & Design Challenge: A more in-depth session where candidates present their portfolio, discussing specific case studies and design decisions. This may be followed by a take-home design challenge or an in-person/virtual whiteboard exercise focused on a specific problem.

• Hiring Manager Interview: A conversation with the hiring manager (likely Head of Design or Product Lead) to discuss design philosophy, strategic thinking, and alignment with team goals.

• Cross-functional Interviews: Meetings with Product Managers and Engineers to assess collaboration skills, technical understanding, and ability to articulate design trade-offs.

• Final Round: Potentially a discussion with senior leadership or a final Q&A session.

Portfolio Review Tips:

• Storytelling: Structure your case studies as narratives, clearly outlining the problem, your process, your specific contributions, the solutions you designed, and the impact (quantifiable if possible).

• Focus on Process: Emphasize how you arrived at your solutions, showcasing your research, ideation, iteration, and decision-making process.

• Highlight AI/Data Relevance: If possible, showcase projects that demonstrate experience with data workflows, AI interactions, or complex enterprise systems.

• Visual Clarity: Ensure your designs are presented cleanly and professionally, with clear annotations where necessary.

• Be Prepared to Defend Decisions: Be ready to discuss the rationale behind your design choices and how you handled feedback or constraints.

Challenge Preparation:

• Understand the Problem: Thoroughly analyze the design challenge prompt, asking clarifying questions if allowed.

• Think Out Loud: If it's a live exercise, articulate your thought process, assumptions, and design considerations.

• Prioritize: Focus on delivering a viable solution within the given time, rather than aiming for perfection. Demonstrate your ability to make informed trade-offs.

• Consider the User: Always anchor your solutions in user needs and business objectives.

📝 Enhancement Note: The interview process is a standard structure for design roles in tech companies, with specific emphasis on portfolio presentation and design challenges relevant to the role's core responsibilities.

🛠 Tools & Technology Stack

Primary Tools:

• Design & Prototyping: Figma (highly probable, industry standard), Sketch, Adobe XD.

• Collaboration: Slack, Jira, Confluence.

• User Research & Testing: UserTesting.com, Maze, Optimal Workshop, or similar platforms.

Analytics & Reporting:

CRM & Automation:

• Not directly applicable to the designer's core toolset, but understanding how CRM and automation platforms interface with the product might be relevant for context.

📝 Enhancement Note: Specific tools are inferred based on industry standards for product designers, particularly within the B2B SaaS and AI space. Figma is a strong assumption due to its widespread adoption.

👥 Team Culture & Values

Operations Values:

• Innovation & AI-First: A commitment to leveraging AI to solve complex problems and push the boundaries of data analytics.

• User-Centricity: A deep focus on understanding and serving the needs of business analysts and enterprise users.

• Simplicity & Elegance: Striving to make complex systems intuitive and easy to use.

• Collaboration & Transparency: Open communication and teamwork across departments to achieve shared goals.

• Impact & Ownership: Encouraging individuals to take responsibility for their work and drive tangible business outcomes.

Collaboration Style:

• Cross-functional Integration: Designers are expected to be integral members of product teams, working hand-in-hand with Product Management and Engineering.

• Iterative Feedback: A culture that embraces continuous feedback loops, both internally and from users, to refine designs.

• Knowledge Sharing: Encouraging designers to share insights, best practices, and learnings within the team and across the organization.

📝 Enhancement Note: Company values are inferred from the job description's emphasis on AI, simplicity, user empowerment, and collaboration.

⚡ Challenges & Growth Opportunities

Challenges:

• Designing for AI Complexity: Translating the nuances of AI capabilities into user-friendly and trustworthy interfaces presents a significant design challenge.

• Balancing Simplicity and Power: Creating intuitive experiences for business analysts while still providing the depth and control required for complex data operations.

• Keeping Pace with Technology: The rapidly evolving landscape of AI and data analytics requires continuous learning and adaptation.

• Cross-functional Alignment: Ensuring all stakeholders (Product, Engineering, Leadership) are aligned on design vision and priorities.

Learning & Development Opportunities:

• AI Design Specialization: Gain deep expertise in designing for emerging AI paradigms and human-AI collaboration.

• Data Analytics Domain Knowledge: Develop a strong understanding of data preparation, transformation, and analytics workflows.

• Enterprise SaaS Best Practices: Master the nuances of designing for complex B2B environments.

• Mentorship: Opportunities to learn from experienced product leaders and potentially mentor junior designers as the team grows.

• Industry Exposure: Engaging with cutting-edge technology and contributing to a product that reshapes how organizations utilize data.

📝 Enhancement Note: Challenges are identified based on the product's domain (AI, data) and the target user (business analysts), reflecting common hurdles in this space. Growth opportunities are aligned with career progression for a mid-level designer.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you had to simplify a highly technical or complex workflow into an intuitive user experience. What was your process and the outcome?" (Focus on your problem-solving approach and impact).

• "How would you approach designing an AI assistant for business analysts that helps them discover and clean data? What are the key considerations for trust and usability?" (Demonstrate your understanding of AI interaction design and user-centered principles).

Company & Culture Questions:

• "What excites you about Prophecy's mission to simplify AI data prep and analytics?" (Research the company's vision and tailor your answer).

• "How do you handle design disagreements with product managers or engineers?" (Highlight your collaboration and communication skills).

Portfolio Presentation Strategy:

• Structure: Present 2-3 distinct case studies that cover different aspects of your design process and problem-solving skills.

• Narrative: Tell a compelling story for each project, clearly defining the problem, your role, your process, your design decisions (and why), and the results.

• Visuals: Use high-quality visuals (wireframes, mockups, prototypes) to illustrate your points effectively.

• Quantify Impact: Whenever possible, present metrics or data that demonstrate the positive impact of your designs.

• Be Ready for Q&A: Anticipate questions about your design choices, alternatives considered, and lessons learned.

📝 Enhancement Note: Interview preparation advice is tailored to the specific role requirements and common interview practices for product designers in tech companies, with an emphasis on AI, data, and enterprise SaaS.

📌 Application Steps

To apply for this Product Designer position:

• Submit your application through the provided link on the Prophecy careers page.

• Portfolio Customization: Tailor your portfolio to highlight projects that demonstrate experience with AI, data workflows, B2B SaaS, and complex system design. Ensure your case studies clearly articulate your process and impact.

• Resume Optimization: Update your resume to prominently feature keywords from the job description, such as "Product Design," "UX Design," "AI Interaction Design," "Enterprise SaaS," "Data Workflows," and "Design Systems." Quantify achievements where possible.

• Interview Preparation: Practice articulating your design process and decisions, preparing specific examples for behavioral and technical questions. Be ready to discuss your portfolio in detail.

• Company Research: Familiarize yourself with Prophecy's mission, product, and target market. Understand their approach to AI and data analytics to demonstrate genuine interest and alignment.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.

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