Senior Product Designer

📍 Job Overview

Job Title: Senior Product Designer

Company: Hevo Data

Location: Bengaluru, India

Job Type: Full time

Category: Product Design / UX

Date Posted: 2026-08-13

Experience Level: Senior (4-8 years)

Remote Status: On-site

🚀 Role Summary

• Spearhead the end-to-end user experience (UX) design for complex, high-stakes workflows within a data-centric SaaS product.

• Drive the complete design lifecycle, from initial user research and problem framing through wireframing, prototyping, and high-fidelity mockups.

• Own and evolve the company's design system to ensure consistency and a cohesive user experience across the Hevo dashboard.

• Champion accessibility, edge cases, and unglamorous states to elevate the overall quality and usability of the product for technical users.

• Embrace an "AI-first" design philosophy, creating AI-native products and leveraging AI as a daily craft tool for research, ideation, and prototyping.

📝 Enhancement Note: This role is specifically for a Senior Product Designer with a strong emphasis on complex SaaS products and an "AI-first" approach, requiring a deep understanding of technical users and their workflows. The "AI-first" requirement is dual-faceted: designing AI-native experiences and using AI as a design tool.

📈 Primary Responsibilities

• Conduct in-depth user research and problem framing to deeply understand the needs and pain points of data engineers and analysts.

• Translate complex technical requirements and fuzzy problems into intuitive, usable interfaces and workflows.

• Develop user journeys, wireframes, interactive prototypes, and high-fidelity visual designs for core product features.

• Present and defend design decisions to product, engineering, and customer stakeholders, articulating the rationale behind design choices.

• Collaborate closely with product management and engineering teams throughout the entire product development lifecycle.

• Contribute to and maintain the Hevo design system, ensuring its scalability, consistency, and adherence to best practices.

• Analyze user behavior data and feedback post-launch to iterate on designs and drive continuous improvement.

• Advocate for and implement high standards of accessibility (WCAG compliance) and attention to detail for all design outputs.

• Mentor and guide junior designers (if applicable) and push cross-functional teams to prioritize design quality.

• Actively leverage AI tools for research acceleration, content generation, and rapid prototyping.

📝 Enhancement Note: The responsibilities highlight a proactive, end-to-end ownership model, emphasizing research, problem-solving, stakeholder management, and a data-driven approach to design iteration. The inclusion of "AI-first" as a core responsibility indicates a significant focus on designing with and for AI capabilities.

🎓 Skills & Qualifications

Education: While not explicitly stated, a Bachelor's or Master's degree in Design, Human-Computer Interaction (HCI), Computer Science, or a related field is typically expected for senior roles, or equivalent practical experience.

Experience: 4 to 8 years of professional experience in designing and shipping real products within cross-functional, in-house teams. Agency-only experience is not sufficient.

Required Skills:

• Proven track record of designing and shipping complex, interactive web applications, specifically in a SaaS environment.

• Demonstrated experience with the full design process: user research, problem framing, user journeys, wireframing, prototyping, and high-fidelity mockups.

• Deep understanding and practical application of AI-native design principles and patterns for probabilistic and agent-based systems.

• Proficiency in using AI tools for research, content generation, and rapid prototyping.

• Expertise in Figma for UI design and prototyping.

• Experience designing for technical or enterprise users, comfortable with complex subject matter.

• Strong portfolio showcasing the design thinking process, problem-solving, decision-making, and shipped product results.

• Excellent communication and presentation skills, capable of influencing engineers, PMs, and customers.

• Experience in maintaining and extending design systems for consistency and scalability.

• Familiarity with user research methodologies and data analysis for design iteration.

• Understanding of accessibility standards (e.g., WCAG). Preferred Skills:

• Experience with rapid prototyping and testing tools beyond Figma.

• Familiarity with data engineering or data analytics concepts and user workflows.

• Experience in a Series B or later stage startup environment.

• Ability to articulate design strategy and its impact on business objectives.

📝 Enhancement Note: The requirements emphasize practical, hands-on experience with complex SaaS products, a strong "AI-first" design capability, and a portfolio that demonstrates strategic thinking rather than just visual design execution. The years of experience are clearly defined.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Showcase end-to-end product design projects, detailing the initial problem statement and user research.

• Include a clear articulation of the "messy middle" – the challenges, iterations, and design decisions made throughout the process.

• Demonstrate how you leveraged AI tools and/or designed for AI-native experiences within your projects.

• Present the final shipped product, highlighting key features and user flows designed.

• Clearly explain the impact and results of your design solutions, supported by data or user feedback where possible.

• Include examples of contributions to or creation of design systems.

• Highlight experience designing complex, interactive web applications for technical or enterprise users. Process Documentation:

• Examples of user journey mapping and workflow analysis for complex processes.

• Prototypes or case studies illustrating the design of AI-driven features (e.g., suggestions, agents, generative outputs).

• Documentation of how you've maintained or evolved design systems, including component usage and consistency guidelines.

• Case studies demonstrating how you've addressed accessibility and edge-case considerations in your designs.

• Examples of iterative design based on user feedback and performance data.

📝 Enhancement Note: The portfolio expectations are highly specific, requiring demonstration of the entire design process, AI integration, complex web application design, and data-driven iteration. This goes beyond a typical visual portfolio and demands a strategic narrative for each project.

💵 Compensation & Benefits

Salary Range: For a Senior Product Designer with 4-8 years of experience in Bengaluru, India, the estimated annual salary range is ₹18,00,000 - ₹30,00,000. This range accounts for the seniority of the role, the specialized "AI-first" requirement, the focus on complex SaaS products, and the competitive market for design talent in Bengaluru.

Benefits:

• Competitive salary and potential for stock options.

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

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

• Opportunities for professional development, including conferences and training.

• Access to cutting-edge AI tools and technologies.

• Collaborative and innovative work environment with a focus on impactful design.

• Opportunity to work on a globally recognized product with significant user impact.

• Potential for career growth within a rapidly scaling Series B company.

Working Hours: Standard full-time working hours are expected, typically around 40 hours per week. While the role is on-site, Hevo Data may offer some flexibility in scheduling, common in tech companies, to accommodate project needs and team collaboration.

📝 Enhancement Note: Salary is estimated based on typical compensation for Senior Product Designers in Bengaluru with the specified experience level and the demanding requirements (SaaS, AI-first, technical users). Benefits are inferred based on standard offerings for tech companies of Hevo Data's stage and location.

🎯 Team & Company Context

🏢 Company Culture

Industry: Software / Data Infrastructure / Data Integration Platforms. Hevo Data operates within the rapidly growing data management and analytics space, providing a crucial service for companies leveraging data for insights and decision-making.

Company Size: Series B funded startup, likely ranging from 50-250 employees. This size suggests a dynamic, fast-paced environment with opportunities for significant individual impact, but also requires clear processes and strong collaboration.

Founded: Hevo Data was founded in 2017. This indicates a company with established product-market fit and a growth trajectory, now focused on scaling its technology and operations.

Team Structure:

• The design team, while potentially small, is integral to the product development process, working in close collaboration with Product Management and Engineering.

• Designers are expected to be senior, autonomous, and capable of driving projects from conception to completion.

• The reporting structure likely involves a Design Lead or Head of Product, with designers reporting directly to them.

• Cross-functional collaboration is paramount, with designers embedded within feature teams. Methodology:

• Data-driven decision-making is a core principle, with a strong emphasis on user research and post-launch analytics to inform design iterations.

• Agile development methodologies are likely employed, requiring designers to be adaptable and responsive to changing requirements.

• An "AI-first" approach permeates product development, influencing how new features are conceived and designed.

• Focus on building robust, scalable, and high-performance systems, reflecting the technical nature of the product.

Company Website: https://hevodata.com/

📝 Enhancement Note: Company context is derived from the provided information (Series B, founded date, industry). The culture is inferred to be fast-paced, technically focused, and collaborative, with a strong emphasis on design's strategic role.

📈 Career & Growth Analysis

Operations Career Level: Senior Product Designer. This level implies significant autonomy, ownership of complex product areas, and the ability to influence product strategy. It sits above mid-level designers and below design leadership roles like Design Manager or Head of Design.

Reporting Structure: The Senior Product Designer will likely report to a Design Lead, Head of Product, or potentially a VP of Product. They will work closely with Product Managers and Engineering Leads, forming a core part of product development squads.

Operations Impact: This role has a direct and substantial impact on Hevo Data's success by shaping the user experience of a critical data integration platform. Good design directly translates to higher user adoption, retention, and satisfaction among technical professionals, influencing revenue and market position. The "AI-first" mandate suggests a forward-looking impact, positioning Hevo as an innovator.

Growth Opportunities:

• Specialization: Deepen expertise in designing for AI-native experiences, complex data workflows, or specific areas of the Hevo platform.

• Leadership: Transition into a Design Lead role, mentoring junior designers, or taking on more strategic product initiatives.

• Skill Expansion: Develop skills in areas like product strategy, user research leadership, or even contributing to the broader company's understanding of AI design.

• Cross-functional Movement: Potentially move into Product Management roles given the deep involvement in product strategy and user understanding.

• Impactful Projects: Lead design for major new product initiatives or significant platform overhauls.

📝 Enhancement Note: Career analysis focuses on the "Senior" designation and the unique aspects of the role (AI-first, technical users) to outline potential growth paths within Hevo Data and the broader tech industry.

🌐 Work Environment

Office Type: Hevo Data is an on-site role, implying a traditional office environment designed for collaboration. Given the company's focus on innovation and its Series B status, the office is likely modern, well-equipped, and conducive to focused work and team interaction.

Office Location(s): Bengaluru, India. This is a major tech hub, offering access to talent and a vibrant startup ecosystem. Specific office details (amenities, accessibility) would need to be confirmed directly.

Workspace Context:

• Collaborative Environment: The office setup will likely facilitate close collaboration with Product Managers, Engineers, and fellow designers, with dedicated spaces for brainstorming and discussions.

• Tools and Technology: Access to industry-standard design software (Figma), prototyping tools, and potentially internal AI development tools. High-speed internet and necessary hardware will be provided.

• Team Interaction: Frequent opportunities for design critiques, project reviews, and cross-functional sync-ups. The on-site nature fosters spontaneous interactions that drive innovation.

Work Schedule: Standard full-time hours (approx. 40 hours/week) with potential for some flexibility. The emphasis on shipping and collaboration may require occasional adjustments to meet project deadlines, but a healthy work-life balance is generally expected in mature startups.

📝 Enhancement Note: This section infers the work environment based on the on-site requirement and the company's profile as a growing tech startup in a major hub like Bengaluru.

📄 Application & Portfolio Review Process

Interview Process:

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

• Portfolio Review & Design Challenge: A session where the candidate presents their portfolio, discussing key projects, design decisions, and their approach to complex problems, including AI-first design. This may be followed by a take-home design challenge or an in-person/virtual whiteboard challenge focusing on a specific problem relevant to Hevo Data.

• Cross-functional Interviews: Interviews with Product Managers and Engineering Leads to evaluate collaboration skills, technical understanding, and problem-solving capabilities.

• Hiring Manager/Senior Leadership Interview: A final interview with the hiring manager or a senior leader to discuss strategic alignment, career aspirations, and overall fit.

Portfolio Review Tips:

• Focus on Process: Emphasize your thought process, problem-solving, and decision-making over just the final visuals. Clearly articulate why you made certain choices.

• Highlight AI Integration: Showcase projects where you've designed AI-native experiences or effectively used AI tools in your workflow. Explain the challenges and outcomes.

• Demonstrate Impact: Quantify the success of your designs with data, user feedback, or business metrics whenever possible.

• Showcase Complexity: Present projects that demonstrate your ability to handle complex, technical, or enterprise-level product challenges.

• Tell a Story: Structure your portfolio presentations as narratives that clearly define the problem, your approach, your solutions, and the results.

• Be Prepared for Questions: Anticipate questions about your design philosophy, how you handle ambiguity, your approach to collaboration, and your experience with SaaS and AI.

Challenge Preparation:

• Understand Hevo's Product: Research Hevo Data's platform, target users (data engineers, analysts), and the problems they solve.

• Practice AI-First Design: Think about how AI can enhance user workflows beyond simple chatbots or button additions. Consider agentic systems, generative outputs, and predictive suggestions.

• Simulate Complex Workflows: Practice designing for multi-step, high-stakes processes where errors have significant consequences.

• Articulate Trade-offs: Be ready to discuss design trade-offs, especially between usability, functionality, and the inherent unpredictability of AI.

• Prepare Communication: Practice explaining complex design concepts clearly and concisely to both technical and non-technical audiences.

📝 Enhancement Note: This section provides a structured approach to the interview process and portfolio review, tailored to the specific requirements of this Senior Product Designer role, especially the "AI-first" and complex SaaS aspects.

🛠 Tools & Technology Stack

Primary Tools:

• Figma: The primary tool for UI design, wireframing, prototyping, and collaboration. Proficiency is a requirement.

• Prototyping Tools: Beyond Figma, familiarity with tools like ProtoPie, Framer, or similar for creating interactive and high-fidelity prototypes is beneficial for rapid testing.

• AI Design Tools: Experience with AI assistants for research, content generation (e.g., ChatGPT, Claude), AI image generation tools, and potentially AI-powered prototyping tools.

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

Analytics & Reporting:

• Product Analytics Tools: Familiarity with tools like Amplitude, Mixpanel, or Google Analytics to understand user behavior and measure design impact.

• Data Visualization Tools: While not a primary responsibility, understanding how data is visualized in the product or in analytics dashboards is helpful.

CRM & Automation:

• While not directly a designer's tool, an understanding of how CRM systems (like Salesforce) or marketing automation platforms are used by businesses can provide context for enterprise SaaS design.

📝 Enhancement Note: The technology stack focuses on tools essential for a Product Designer, with a specific emphasis on Figma and AI tools, as highlighted in the job description.

👥 Team Culture & Values

Operations Values:

• User-Centricity: A deep commitment to understanding and serving the needs of technical users, prioritizing their efficiency and effectiveness.

• Excellence & Quality: A drive to create polished, robust, and high-quality products, paying attention to details like accessibility and edge cases.

• Innovation: Embracing new technologies and methodologies, particularly AI, to push the boundaries of what's possible in product design.

• Collaboration: Fostering a collaborative environment where product, engineering, and design work seamlessly together towards common goals.

• Data-Driven: Using data and user insights to inform design decisions and measure impact, rather than relying solely on intuition.

• Ownership & Accountability: Taking full responsibility for design outcomes, from initial concept to post-launch iteration.

Collaboration Style:

• Partnership: Designers are seen as strategic partners to Product and Engineering, involved from the outset of product ideation.

• Transparent Communication: Open and honest communication regarding design challenges, decisions, and trade-offs.

• Constructive Feedback: A culture of providing and receiving constructive feedback to continuously improve designs and processes.

• Shared Vision: Working towards a unified product vision, ensuring that design efforts align with broader business objectives.

📝 Enhancement Note: Culture and values are inferred from the job description's emphasis on user focus, AI-first, quality, and collaboration.

⚡ Challenges & Growth Opportunities

Challenges:

• Designing for Complexity: The primary challenge is making highly complex data integration workflows feel simple and intuitive for technical users who are pressed for time.

• AI-Native Design: Navigating the evolving landscape of AI design, which requires new patterns for trust, control, and user interaction with probabilistic systems.

• Balancing Innovation with Usability: Integrating cutting-edge AI capabilities without sacrificing the core usability and reliability expected by enterprise users.

• Raising the Bar: Consistently pushing product and engineering teams to prioritize design quality, accessibility, and edge-case handling in a fast-paced environment.

• Measuring AI Impact: Defining and measuring the success of AI-driven features and designs effectively.

Learning & Development Opportunities:

• AI Design Expertise: Becoming a leader in AI-native product design, a highly in-demand skill.

• Complex SaaS Mastery: Deepening expertise in designing for sophisticated enterprise software.

• Product Strategy Influence: Gaining experience in shaping product strategy through design leadership.

• Mentorship: Opportunities to mentor emerging designers and contribute to building the design function.

• Industry Exposure: Working with technologies and users at companies like Shopify and DoorDash provides broad industry exposure.

📝 Enhancement Note: Challenges and growth opportunities are derived from the specific demands of the role, such as designing for technical users and embracing AI, and the context of a growing startup.

💡 Interview Preparation

Strategy Questions:

• "How would you approach designing an AI agent that helps data engineers troubleshoot pipeline failures proactively?" (Focus on AI-native patterns, trust, control, error handling.)

• "Describe a time you had to design a complex workflow for technical users. What were the key challenges, and how did you ensure usability?" (Highlight problem-framing, user research, iteration.)

• "How do you balance the need for a consistent design system with the introduction of novel AI-driven features?" (Discuss system extensibility, component design for AI, and managing visual consistency.)

• "If a user doesn't trust the AI's suggestions, what design strategies would you employ to build confidence and encourage adoption?" (Focus on transparency, explainability, user control, and feedback mechanisms.) Company & Culture Questions:

• "Why are you interested in Hevo Data specifically, given our focus on data infrastructure and an AI-first approach?" (Research Hevo's mission, products, and the specific challenges of designing for data engineers.)

• "How do you see your role in raising the design bar for the entire product team?" (Discuss your approach to advocacy, collaboration, and setting standards.)

• "Describe your experience working within a cross-functional product team (PM, Engineering, Design). What makes for successful collaboration?" (Highlight your communication style, ability to influence, and focus on shared goals.) Portfolio Presentation Strategy:

• Start with the 'Why': Clearly articulate the business problem and user need for each project.

• Show Your Process: Walk through your research, ideation, wireframing, prototyping, and testing phases. Explain why you made key decisions.

• Highlight AI's Role: If applicable, explicitly detail how AI was used in the design process or as a feature within the product.

• Address the Messy Middle: Be open about challenges, iterations, and how you pivoted based on feedback or new insights.

• Quantify Impact: Present metrics, user testimonials, or business outcomes that demonstrate the success of your designs.

• Tailor to Hevo: Connect your experience and portfolio examples to Hevo's product, users, and the "AI-first" requirement.

📝 Enhancement Note: Interview preparation is tailored to the specific requirements of this role, focusing on AI-first design, complex SaaS workflows, and technical users.

📌 Application Steps

To apply for this Senior Product Designer position:

• Submit your application through the provided Lever link.

• Tailor your resume: Highlight your experience with SaaS products, complex web applications, AI-first design, and your years of experience (4-8 years). Use keywords like "UX Design," "Product Design," "Figma," "AI-native," and "Technical Users."

• Curate your portfolio: Select 2-3 of your strongest projects that best demonstrate your process, problem-solving skills, experience with complex/enterprise SaaS, and any AI-related design work. Ensure each case study clearly outlines the problem, your approach, your decisions, and the outcomes.

• Prepare your presentation: Practice walking through your portfolio projects, focusing on storytelling, your design thinking, and your ability to articulate decisions and impact. Be ready to discuss your experience with AI tools and AI-native design.

• Research Hevo Data: Understand their product, target audience (data engineers/analysts), and recent company news. Be prepared to discuss why you are a good fit for their specific challenges and culture.

⚠️ 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.

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