Staff Product Designer (AI Experience - Agent Studio)

📍 Job Overview

Job Title: Staff Product Designer (AI Experience - Agent Studio)

Company: Freshworks

Location: Bengaluru, India

Job Type: Full-time

Category: Product Design / UX Design (AI Focus)

Date Posted: March 17, 2026

Experience Level: 8+ Years (Staff Level)

Remote Status: On-site

🚀 Role Summary

• Lead the design of intelligent, human-centered AI experiences across Freshworks' product portfolio, integrating machine learning, automation, and generative AI into daily workflows.

• Define and execute the UX strategy for both AI infrastructure (platform capabilities, APIs, tools) and product-specific AI use cases (chatbots, smart recommendations, generative assistance).

• Drive design quality and consistency for AI use cases within core products like Freshdesk and Freshservice, ensuring scalability and user adoption.

• Champion responsible AI design principles, focusing on transparency, fairness, explainability, and user control within AI-driven touchpoints.

• Collaborate closely with Product Management, Engineering, Data Science, and fellow UX designers to deliver world-class AI solutions that enhance customer trust and operational efficiency.

📝 Enhancement Note: While the raw job title is "Staff Product Designer (AI Experience - Agent Studio)", the description clearly indicates a broad scope beyond just "Agent Studio," encompassing AI experiences across Freshworks' entire product suite (customer service, IT, sales, marketing). The role is positioned as a strategic, hands-on individual contributor with significant influence on AI UX strategy and execution. The "Staff" title implies a senior level requiring deep expertise and the ability to influence direction.

📈 Primary Responsibilities

• Strategic UX Leadership: Adhere to and actively contribute to a cohesive UX strategy for AI across the Freshworks platform and its suite of products, ensuring a unified and intuitive user journey.

• AI Platform Design: Shape end-to-end user experiences for platform-level AI tools, focusing on enabling internal teams and external customers to confidently adopt, configure, and manage AI capabilities.

• Human-Centered AI Integration: Lead the design of product-level AI features that simplify complex tasks, surface actionable insights, and enhance decision-making through conversational interfaces, generative assistants, and predictive analytics.

• Responsible AI Advocacy: Ensure all AI user experiences reflect responsible design principles, prioritizing transparency, fairness, explainability, and user control to build trust and mitigate potential biases.

• Cross-Functional Collaboration: Build and maintain strong partnerships with Product Management, Engineering, Data Science, and other UX designers to align AI UX design with user needs and business objectives.

• Scalable Design Systems: Create scalable patterns, frameworks, and guidelines that promote consistency and accelerate AI UX development across various Freshworks products.

• User Research & Iteration: Utilize rapid prototyping, user testing, and iterative design processes to refine how users perceive, interact with, and benefit from AI functionalities.

• Design for Data & Models: Translate complex AI/ML concepts (e.g., model training, feedback capture, prompt engineering) into clear, usable interfaces that empower users without requiring deep technical expertise.

• Roadmap Support: Develop design assets and documentation to support roadmap planning, capability prioritization, and cross-functional decision-making for AI investments.

• Impact Measurement: Drive the delivery of intelligent features and platform experiences that demonstrably increase customer trust, adoption rates, and operational efficiency.

📝 Enhancement Note: The responsibilities highlight a dual focus: designing for the AI platform itself and designing AI features within specific products. The emphasis on "responsible design," "explainability," and "user control" is critical given the AI focus and is a key differentiator for candidates to address. The need to create "scalable patterns" points towards contributions to design systems.

🎓 Skills & Qualifications

Education:

Experience:

• 8+ years of hands-on experience in product design, with a strong preference for B2B SaaS or enterprise software environments.

Required Skills:

• Product Design Expertise: Proven ability to lead the entire design process from concept to launch for complex digital products.

• AI/ML Product Design: Mandatory portfolio showcasing significant experience with AI-powered products, including but not limited to:

  • Large Language Models (LLMs)
  • Generative AI
  • Conversational AI (chatbots, virtual assistants)
  • Predictive modeling and analytics

• Human-Centered Design (HCD): Deep understanding and application of HCD principles to create intuitive and user-friendly experiences.

• UX Strategy Development: Ability to define and drive a strategic vision for user experience, particularly in complex domains like AI.

• Technical Fluency in AI/ML: Strong foundational knowledge of AI/ML concepts, their possibilities, and limitations, enabling effective partnership with technical teams.

• Prototyping & User Testing: Proficiency in creating interactive prototypes and conducting user research to validate design decisions and iterate effectively.

• Cross-Functional Collaboration: Demonstrated ability to partner effectively with Product Managers, Engineers, Data Scientists, and other stakeholders.

• B2B SaaS/Enterprise Software Acumen: Understanding of the unique design challenges and user needs within business software environments.

Preferred Skills:

• Design Systems: Experience contributing to or leveraging design systems for consistency and scalability.

• Explainable AI (XAI) Design: Experience designing interfaces that make AI decisions transparent and understandable to users.

• Responsible AI Practices: Familiarity with ethical AI considerations and how to design for fairness, accountability, and transparency.

• Data Visualization & Analytics: Ability to design effective ways to present data-driven insights generated by AI.

• Agile Development Methodologies: Experience working within agile or iterative product development cycles.

📝 Enhancement Note: The "mandatory requirement" for AI/ML product experience in the portfolio is heavily emphasized. Candidates must be prepared to showcase specific projects demonstrating their hands-on work with AI technologies and their impact. Technical fluency is not just about understanding AI, but about being able to have credible conversations with engineering and data science teams.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• AI Product Case Studies: A significant portion of the portfolio must detail end-to-end design projects for AI-powered products. This should include:

  • Problem definition and user research specific to AI challenges.
  • Design process, including ideation, wireframing, prototyping, and user testing of AI features.
  • Solutions for complex AI concepts (e.g., prompt engineering interfaces, model configuration tools, explainability features).
  • Iterations based on user feedback and performance data.
  • Demonstrable impact on user adoption, efficiency, or trust.

• Platform/Infrastructure Design: Examples showcasing design for foundational AI capabilities or tools that enable AI adoption.

• Scalability & Consistency: Evidence of work that involves creating reusable design patterns, components, or frameworks applicable across multiple products or AI use cases.

• Responsible AI Integration: Projects that explicitly address ethical considerations, transparency, or user control within AI experiences.

Process Documentation:

• Workflow Design: Showcase how you map out and design complex user workflows that incorporate AI functionalities, ensuring seamless integration into existing user journeys.

• User Journey Mapping: Demonstrate experience in mapping user journeys for AI-driven interactions, identifying friction points and opportunities for intelligent intervention.

• Design System Contribution: If applicable, provide examples of how you contributed to or utilized design systems for AI components or features.

• Cross-functional Collaboration Artifacts: Include examples of artifacts (e.g., design specs, user flows, research summaries) shared with Product, Engineering, and Data Science teams.

📝 Enhancement Note: The portfolio is paramount for this role, particularly the AI-specific case studies. Candidates should focus on demonstrating not just aesthetic design skills, but strategic thinking around AI product development, user adoption, and responsible implementation. Quantifiable results and impact are crucial.

💵 Compensation & Benefits

Salary Range:

Benefits:

• Comprehensive health insurance (medical, dental, vision) for employees and dependents.

• Generous paid time off (PTO), including vacation, sick leave, and public holidays.

• Retirement savings plan/provident fund contributions.

• Professional development opportunities, including training, conferences, and certifications.

• Stock options or employee stock purchase plans (ESPPs), depending on company policy.

• Flexible work arrangements (though this specific role is on-site, other roles might offer flexibility).

• Employee assistance programs (EAP) for well-being support.

Working Hours:

• Standard full-time position, typically around 40 hours per week.

• Working hours will align with Indian Standard Time (IST) to facilitate collaboration with local teams.

• While the role is on-site, Freshworks may offer some flexibility in daily start/end times, subject to team coordination and business needs.

📝 Enhancement Note: The salary range is an estimate based on typical Staff Product Designer compensation in Bengaluru for experienced professionals, particularly those with in-demand AI skills. Actual compensation will depend on the candidate's specific experience, interview performance, and Freshworks' internal compensation structure. Benefits are standard for a company of Freshworks' size and industry.

🎯 Team & Company Context

🏢 Company Culture

Industry: Enterprise Software, Customer Experience (CX), Employee Experience (EX), AI-powered Business Solutions. Freshworks operates in a competitive landscape providing SaaS solutions aimed at simplifying business processes and enhancing customer/employee interactions.

Company Size: Over 4,500 employees globally. This indicates a well-established, mid-to-large-sized tech company with resources for growth and development, yet potentially retaining some of the agility of smaller organizations.

Founded: Freshworks was founded in 2010. This provides a history of innovation and growth, suggesting a stable yet evolving company that has successfully scaled its offerings.

Team Structure:

• AI Experience Team: This role is part of a specialized team focused on AI experiences, likely comprising Product Managers, Engineers, Data Scientists, and fellow UX/Product Designers.

• Reporting Structure: The Staff Product Designer will likely report to a Design Lead, Head of Design, or a Director overseeing AI Product initiatives. They will work closely with Product Management and Engineering leads.

• Cross-functional Collaboration: Expect extensive collaboration with Product Management for strategic alignment and roadmap definition, Engineering for technical feasibility and implementation, Data Science for AI model insights and performance, and other UX/Product Designers for consistency and shared best practices across the product suite.

Methodology:

• Data-Driven Design: Freshworks emphasizes using data and insights to inform design decisions, especially critical for AI products where performance metrics are key.

• User-Centric Approach: The company's ethos is "uncomplicated service software that delivers exceptional customer and employee experiences," highlighting a strong user-centric methodology.

• Agile Development: While not explicitly stated, SaaS companies of this size typically operate with agile methodologies, requiring iterative design and close collaboration with development sprints.

• AI-First Mindset: The focus on AI indicates a strategic push towards leveraging artificial intelligence to solve business problems and enhance product capabilities.

Company Website: https://www.freshworks.com/

📝 Enhancement Note: Freshworks positions itself as a provider of "uncomplicated service software" with a "people-first approach to AI." This suggests a culture that values user-friendliness, efficiency, and leveraging technology to solve real business problems. The "Staff" level implies an expectation of leadership and strategic contribution within this framework.

📈 Career & Growth Analysis

Operations Career Level: Staff Product Designer is a senior individual contributor role. It signifies a high level of expertise, autonomy, and influence. Staff designers are expected to tackle ambiguous problems, mentor junior designers, and drive significant strategic initiatives, particularly in specialized areas like AI. They are key players in shaping product direction and user experience quality.

Reporting Structure: This role will report to a senior design leadership figure (e.g., Design Manager, Director of UX) and will work closely with Product Managers and Engineering Leads for specific product initiatives. The cross-functional nature means significant interaction with various teams.

Operations Impact: The impact of this role is substantial. By designing intuitive and effective AI experiences, the Staff Product Designer will directly influence:

• Customer Satisfaction & Loyalty: Improved AI-powered support and service interactions lead to better customer experiences.

• Operational Efficiency: Streamlined workflows and automated tasks for both customers and internal users reduce operational costs and increase productivity.

• Product Adoption & Revenue: Well-designed AI features can be key differentiators, driving adoption of Freshworks' software suites and contributing to revenue growth.

• Employee Effectiveness: Empowering users with intelligent tools enhances their ability to perform their jobs, improving employee satisfaction and reducing frustration.

Growth Opportunities:

• Technical Specialization: Deepen expertise in AI/ML design, becoming a recognized authority within Freshworks and the broader industry on human-centered AI.

• Strategic Influence: Contribute to the overarching AI product strategy and UX vision for the company.

• Mentorship & Leadership: Mentor junior designers, lead design critiques, and potentially influence hiring and team development.

• Product Ownership: Take lead design ownership on significant AI initiatives or platform capabilities.

• Cross-Product Impact: Drive design consistency and best practices across multiple Freshworks product lines.

• Potential for Management: While a Staff role is typically individual contributor, exceptional performance and interest could lead to future management opportunities within the design organization.

📝 Enhancement Note: The "Staff" designation is critical. It implies a level of problem-solving, strategic thinking, and influence that goes beyond senior designer roles. Candidates should expect to be challenged with complex, ambiguous problems and demonstrate leadership through influence and mentorship.

🌐 Work Environment

Office Type: Freshworks operates with a hybrid model, but this specific role is designated as "On-site" in Bengaluru. This implies a collaborative office environment designed for team interaction, brainstorming, and focused work.

Office Location(s): Bengaluru, India. As a major tech hub, Bengaluru offers a dynamic ecosystem and access to talent. The specific office location within Bengaluru would need to be confirmed.

Workspace Context:

• Collaborative Spaces: Expect modern office spaces equipped with meeting rooms, collaborative zones, and potentially whiteboarding facilities conducive to design thinking and team problem-solving.

• Technology & Tools: Access to standard office technology, high-performance workstations, and the necessary software licenses for design, prototyping, and collaboration tools.

• Team Interaction: Opportunities for regular face-to-face interaction with design peers, product managers, engineers, and data scientists, fostering a strong sense of team and facilitating rapid iteration.

Work Schedule:

• Standard full-time work schedule (approx. 40 hours/week).

• The on-site requirement means adherence to office hours, likely aligned with Indian Standard Time (IST) for optimal team collaboration.

• While primarily on-site, occasional flexibility might be possible, subject to team agreements and management approval.

📝 Enhancement Note: The "On-site" designation is important. Candidates should be prepared for a traditional office-based work environment in Bengaluru, emphasizing in-person collaboration. This is beneficial for the hands-on, iterative nature of design work, especially in complex AI projects.

📄 Application & Portfolio Review Process

Interview Process:

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

• Portfolio Review (Online/Live): A dedicated session where candidates present their portfolio, focusing on 2-3 key AI-related projects. This is a critical stage.

• Design Challenge/Case Study: A take-home assignment or an in-person/virtual whiteboard session involving a design problem, likely related to AI experiences, assessing problem-solving skills, design process, and strategic thinking.

• Cross-functional Interviews: Meetings with Product Managers, Engineering Leads, and potentially Data Scientists to evaluate collaboration skills, technical understanding, and ability to align on complex initiatives.

• Hiring Manager/Design Leadership Interview: Deeper dive into strategic thinking, leadership potential, and fit with the design team's vision.

Portfolio Review Tips:

• Curate Strategically: Select 2-3 projects that best showcase your experience with AI/ML product design, human-centered approaches, and complex problem-solving. Prioritize projects that demonstrate impact and end-to-end ownership.

• Tell a Story: For each case study, clearly articulate the problem, your role, the design process (research, ideation, iteration), the solutions, and the measurable outcomes/impact. Use visuals effectively.

• Highlight AI Specifics: Emphasize how you addressed the unique challenges of designing for AI – e.g., explainability, trust, user control, data interpretation, prompt engineering.

• Showcase Technical Fluency: Be prepared to discuss the technical aspects of the AI/ML involved and how you collaborated with engineering and data science teams.

• Demonstrate Strategic Thinking: Explain the "why" behind your design decisions and how they align with business goals and user needs.

Challenge Preparation:

• Understand the Context: If it's a take-home challenge, thoroughly research Freshworks' products, target users, and the AI space they operate in.

• Focus on Process: Demonstrate a clear, logical design process. It's less about the final pixel-perfect UI and more about how you arrived there.

• Address Ambiguity: AI problems are often ambiguous. Show how you would approach defining the problem, identifying constraints, and generating solutions.

• Consider AI Nuances: Apply your knowledge of AI limitations and ethical considerations to your proposed solutions.

• Prepare to Present: Be ready to articulate your thinking clearly and concisely, justifying your approach and potential trade-offs.

📝 Enhancement Note: The portfolio review is the most crucial part of the application process. Candidates must be ready to present detailed case studies specifically focused on AI product design, demonstrating their expertise and strategic thinking.

🛠 Tools & Technology Stack

Primary Tools:

• Design & Prototyping: Figma, Sketch, Adobe Creative Suite (Photoshop, Illustrator). Figma is often the industry standard for collaborative design.

• Prototyping Tools: InVision, Principle, ProtoPie for creating interactive prototypes.

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

Analytics & Reporting:

• Web Analytics: Google Analytics, Adobe Analytics for understanding user behavior on web platforms.

• Product Analytics: Mixpanel, Amplitude, Pendo for in-depth analysis of user interactions within the product.

• Data Visualization: Tableau, Power BI, or custom dashboards for presenting data insights to stakeholders.

CRM & Automation:

• CRM: Freshworks' own CRM offerings (e.g., Freshsales) or common enterprise CRMs like Salesforce, HubSpot.

• Collaboration: Tools like Slack, Microsoft Teams for communication.

• Project Management: Jira, Asana, Trello for tracking design tasks and project progress.

📝 Enhancement Note: While specific tools aren't listed, standard industry tools for product design, prototyping, user research, and project management are expected. Proficiency in Figma is highly probable. Familiarity with Freshworks' own suite of products might be a plus.

👥 Team Culture & Values

Operations Values:

• Fresh Vision, Real Impact: A core company value emphasizing innovation and tangible results. For this role, it means pushing the boundaries of AI design to deliver meaningful improvements for users.

• Customer-Centricity: A focus on delivering exceptional customer experiences. This translates to designing AI features that genuinely solve user problems and enhance their interactions.

• Simplicity & Ease of Use: Freshworks aims for "uncomplicated service software." Designers are expected to make complex AI functionalities accessible and intuitive.

• Collaboration & Teamwork: Working effectively across disciplines (Product, Engineering, Data Science) to achieve shared goals.

• Data-Driven Decision Making: Using data and user insights to validate design choices and measure impact, especially important for AI performance.

• Continuous Learning: Embracing new technologies and methodologies, particularly in the rapidly evolving field of AI.

Collaboration Style:

• Cross-functional Integration: Designers are integral members of product teams, working closely with PMs and Engineers from ideation through launch.

• Open Communication: Expect a culture that encourages open feedback, design critiques, and knowledge sharing.

• Iterative Approach: Embracing agile principles means continuous collaboration and iterative refinement of designs based on feedback and data.

• Problem-Solving Orientation: A collective focus on solving complex business and user problems through thoughtful design and technology.

📝 Enhancement Note: The company values emphasize innovation, user focus, and simplicity. This role requires designers to balance cutting-edge AI capabilities with the need for user-friendly, uncomplicated experiences. Collaboration is key, implying a need for strong communication and interpersonal skills.

⚡ Challenges & Growth Opportunities

Challenges:

• Designing for Ambiguity: AI is a rapidly evolving field, and requirements for AI features may be less defined than traditional software. Candidates need to be comfortable navigating uncertainty.

• Balancing Innovation with Usability: Integrating advanced AI capabilities (e.g., generative AI, predictive models) while maintaining simplicity and preventing user overload or confusion.

• Ensuring Trust & Explainability: Designing AI experiences that users can trust and understand, especially when dealing with complex decision-making processes.

• Cross-Product Consistency: Maintaining a cohesive AI user experience across a diverse product portfolio requires strong design system thinking and collaboration.

• Technical Constraints: Working within the limitations of AI models and infrastructure while pushing creative boundaries.

• Ethical AI Design: Proactively addressing potential biases, fairness issues, and ensuring responsible AI deployment.

Learning & Development Opportunities:

• Deep AI/ML Design Expertise: Become a specialist in designing for cutting-edge AI technologies, a highly sought-after skill.

• Strategic Product Influence: Gain experience in shaping the AI product roadmap and UX strategy for a growing portfolio of enterprise software.

• Cross-functional Leadership: Develop leadership skills through collaboration with senior stakeholders in Product, Engineering, and Data Science.

• Industry Exposure: Engage with the latest trends in AI and UX through company initiatives, conferences, and professional development programs.

• Mentorship: Opportunity to mentor junior designers and contribute to the growth of the design team.

📝 Enhancement Note: The challenges presented are inherent to working with AI. Candidates should frame their experience in overcoming similar hurdles. The growth opportunities highlight the potential for significant career advancement and specialization in a high-demand field.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you designed an AI-powered feature. What was the problem, your process, and the outcome? What were the biggest challenges?" (Focus on showcasing your AI/ML design experience and process).

• "How do you ensure AI experiences are trustworthy and explainable to users with varying technical backgrounds?" (Prepare examples of designing for transparency and user control).

• "Walk us through your process for defining the UX strategy for a complex, new AI capability." (Demonstrate strategic thinking and roadmap contribution).

Company & Culture Questions:

• "Why Freshworks, and why this role specifically focused on AI Experiences?" (Research Freshworks' mission, products, and AI strategy).

• "How do you embody Freshworks' values of 'Fresh Vision, Real Impact' and 'Simplicity' in your design work?" (Connect your work to company values).

Portfolio Presentation Strategy:

• Structure Your Narrative: For each case study, clearly outline the problem statement, your role, the design process (research, ideation, prototyping, testing), the solution, and the measurable impact.

• Quantify Impact: Use metrics whenever possible to demonstrate the success of your designs (e.g., increased adoption, reduced task completion time, improved user satisfaction scores).

• Focus on AI Specifics: Emphasize the unique challenges and solutions related to designing for AI – e.g., explainability, prompt engineering interfaces, data interpretation, ethical considerations.

• Be Prepared for Deep Dives: Anticipate questions about your decision-making process, trade-offs you made, and how you handled feedback.

• Showcase Technical Fluency: Be ready to discuss the AI/ML concepts involved at a high level and how you translated them into user-friendly experiences.

📝 Enhancement Note: The interview process will heavily scrutinize the candidate's AI design portfolio and their ability to articulate strategic thinking, collaboration, and problem-solving skills within the context of AI product development.

📌 Application Steps

To apply for this Staff Product Designer position:

• Submit your application through the provided link on the Freshworks careers portal.

• Portfolio Customization: Tailor your portfolio to prominently feature 2-3 AI-focused product design case studies that demonstrate your experience with LLMs, generative AI, or predictive modeling, and highlight your end-to-end process and impact.

• Resume Optimization: Ensure your resume clearly articulates your 8+ years of experience, specifically mentioning your hands-on AI product design work, B2B SaaS background, and relevant technical fluency. Use keywords from the job description.

• Interview Preparation: Practice presenting your portfolio with a focus on storytelling, quantifiable results, and explaining your strategic rationale for AI design decisions. Prepare to discuss your approach to complex, ambiguous problems.

• Company Research: Thoroughly research Freshworks' products, mission, and recent AI initiatives. Understand their approach to customer experience and employee experience to better articulate your fit and interest.

⚠️ 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.