Senior Product Designer

📍 Job Overview

Job Title: Senior Product Designer

Company: Capgemini

Location: Pune, Bangalore, Noida, Chennai, Hyderabad, Gurgaon, Navi Mumbai, Kolkata, Salem, Kanchipuram, Coimbatore, Gandhinagar, Bhubaneswar, Mumbai, India

Job Type: Full-Time

Category: Product Design / UX/UI Design

Date Posted: May 29, 2026

Experience Level: Mid-Senior Level (5-10 years)

Remote Status: Hybrid

🚀 Role Summary

• Lead the end-to-end design of AI-native user experiences for Neo features, encompassing discovery, journey mapping, prototyping, and implementation handover.

• Architect conversational information architecture, defining how intents, agents, tools, sources, responses, and follow-up actions are structured within the user experience.

• Design trust-building interaction patterns, including citations, source visibility, confidence cues, user confirmations, editable outputs, and transparent system behavior for AI-driven applications.

• Establish and maintain Neo's design system, UX standards, and reusable interaction patterns across all product surfaces, ensuring consistency and scalability.

• Collaborate closely with Product Managers, AI/ML teams, and Frontend Engineering to translate complex technical capabilities and user insights into intuitive, user-centered designs.

📝 Enhancement Note: This role is heavily focused on designing for AI-native experiences, particularly within conversational interfaces and agentic workflows. The "Neo" product likely refers to an AI-powered platform or feature set, requiring a deep understanding of Large Language Models (LLMs) and their UX implications. The emphasis on trust-building patterns is crucial for AI products where user confidence is paramount.

📈 Primary Responsibilities

• Drive the complete design lifecycle for Neo features, from initial ideation and user research to the delivery of high-fidelity prototypes and seamless handover to engineering teams.

• Develop intuitive AI-native user experiences across various modalities including chat interfaces, agentic workflows, prompt flows, document interactions, structured data answers, and enterprise knowledge discovery.

• Craft detailed conversational flows, decision trees, clarification paths, fallback states, and guided user journeys to manage complex AI interactions effectively.

• Define and implement the conversational information architecture, ensuring a logical and user-friendly structure for intents, agents, tools, data sources, responses, and subsequent actions.

• Design robust trust-building interaction patterns that enhance user confidence, such as clear citations, visible source attribution, confidence indicators, explicit user confirmations, editable output mechanisms, and transparent system operational behavior.

• Establish, maintain, and evolve Neo's comprehensive design system, encompassing UX standards, component libraries, and reusable interaction patterns across the product portfolio.

• Foster strong partnerships with Product Managers, AI/ML specialists, and Frontend Engineers through iterative design cycles, ensuring alignment between user needs, technical possibilities, and business objectives.

• Conduct thorough user research, including journey mapping, user flow creation, prototyping, and usability validation to rigorously test and refine design decisions.

• Mentor and guide junior Product Designers, promoting design consistency and best practices across the broader design organization.

• Utilize user feedback, analytics data, and usability testing insights to iteratively improve and optimize the overall user experience of Neo.

📝 Enhancement Note: The responsibilities highlight a senior-level contribution, involving not just design execution but also leadership, mentorship, and strategic input into the design system and product vision, particularly within the nascent field of AI UX. The mention of "agentic workflows" and "prompt flows" indicates a need for expertise in designing for generative AI and autonomous agent interactions.

🎓 Skills & Qualifications

Education:

• Bachelor's or Master's degree in Design, Human-Computer Interaction (HCI), Digital Product Design, or a closely related field. Experience:

• A minimum of 5-10 years of progressive experience in designing digital products, with a strong preference for platforms, SaaS products, enterprise tools, or AI-driven interfaces. Required Skills:

• Figma Mastery: Strong hands-on proficiency in Figma, including advanced skills in creating and managing libraries, components, interactive prototypes, and detailed design documentation.

• AI-Native UX Design: Deep understanding and practical experience in designing user experiences for AI-powered applications, including conversational AI, LLMs, and agentic systems.

• Conversational Design: Expertise in designing conversational flows, decision trees, clarification paths, fallback strategies, and guided user journeys for natural language interfaces.

• User Journey Mapping & Flow Design: Proven ability to map complex user journeys, define user flows, and create intuitive navigation and interaction models.

• Design Systems: Experience in establishing, maintaining, and scaling design systems, ensuring consistency, reusability, and efficient design execution.

• Prototyping: Proficiency in creating interactive prototypes to effectively communicate design concepts, test user flows, and gather feedback.

• Usability Validation: Experience conducting various forms of usability testing and incorporating findings into design iterations.

• Cross-Functional Collaboration: Demonstrated ability to work effectively with Product Managers, Engineers, AI/ML teams, and other stakeholders in an agile environment.

• Problem-Solving: Strong analytical and problem-solving skills to translate complex technical and AI-driven challenges into simple, elegant, and user-friendly solutions.

• Communication: Excellent verbal and written communication skills, with the ability to articulate design rationale clearly and persuasively to both technical and non-technical audiences.

Preferred Skills:

• Prompt UX Design: Specific experience in designing for prompt-based interactions and optimizing user input for generative AI models.

• Agentic Workflow Design: Understanding and experience in designing workflows where AI agents perform tasks autonomously or semi-autonomously.

• Information Architecture (Conversational): Expertise in structuring conversational content, intents, and dialogue management.

• LLM UX Considerations: Familiarity with the nuances of Large Language Model behavior, including managing ambiguity, hallucination risks, source grounding, and user controllability.

• Enterprise SaaS Design: Experience designing complex SaaS applications for enterprise users.

• Accessibility Standards: Knowledge of accessibility guidelines (e.g., WCAG) and their application to AI interfaces.

📝 Enhancement Note: The emphasis on Figma, AI-native UX, and conversational design strongly suggests that candidates with a portfolio showcasing these specific skills will have a significant advantage. The "Senior" title implies expectations for leadership and strategic thinking beyond pure execution.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• AI/Conversational Design Case Studies: Showcase at least 2-3 detailed case studies focusing on AI-native or conversational design projects. These should clearly articulate the problem, your design process, key challenges, design decisions, and measurable outcomes.

• Figma Proficiency Demonstration: Include examples of complex Figma work, such as well-structured component libraries, interactive prototypes demonstrating intricate flows, and clear design documentation.

• System Design Examples: Present examples of contributions to or creation of design systems, illustrating your understanding of scalability, consistency, and reusability.

• Problem-Solving Scenarios: Demonstrate how you've translated complex technical requirements or AI limitations into user-friendly solutions, ideally with before-and-after examples or detailed explanations of your approach.

• Impact & Metrics: For each case study, clearly articulate the impact of your design solutions, supported by quantitative metrics (e.g., conversion rates, task completion times, user satisfaction scores) or qualitative insights from user testing.

Process Documentation:

• User-Centered Design Process: Clearly outline your standard design process, emphasizing user research, ideation, prototyping, testing, and iteration, with specific examples of how you apply these stages to AI-driven products.

• Collaboration Workflows: Describe how you collaborate with Product Managers, Engineers, and AI/ML teams, including your methods for gathering requirements, providing feedback, and ensuring smooth design handoffs.

• Design System Development: Detail your approach to building and maintaining design systems, including governance, contribution guidelines, and the process for introducing new components or patterns.

• Feedback Integration: Explain how you incorporate user feedback, analytics data, and testing results into your design process for continuous improvement.

📝 Enhancement Note: For a Senior Product Designer role, especially in a specialized area like AI UX, the portfolio is critical. It needs to go beyond visual aesthetics to demonstrate strategic thinking, process rigor, and a deep understanding of the unique challenges of designing for AI. Clear articulation of the "why" behind design decisions, supported by evidence, is key.

💵 Compensation & Benefits

Salary Range:

Given the Senior Product Designer title and the location in major Indian tech hubs (Pune, Bangalore, Noida, Chennai, Hyderabad, Gurgaon, Mumbai), and considering Capgemini's standing as a global consulting firm, a competitive salary range for a professional with 5-10 years of experience would typically fall between ₹15,00,000 to ₹30,00,000 per annum. This range is an estimate and can vary based on specific skills, experience, the candidate's current compensation, and negotiation.

Benefits:

• Competitive Compensation: A strong base salary and potential for performance-based bonuses.

• Health and Wellness: Comprehensive health insurance coverage, including medical, dental, and vision.

• Retirement Savings: Provident Fund (PF) contributions and other retirement planning benefits.

• Work-Life Balance: Support for healthy work-life balance through flexible and hybrid work options.

• Professional Development: Robust career development programs, opportunities for continuous learning, and certifications, particularly in cloud technologies.

• Employee Assistance Programs: Access to resources for personal and professional well-being.

• Paid Time Off: Generous vacation, sick leave, and public holiday allowances.

• Diverse and Inclusive Workplace: A culture that fosters innovation, collaboration, and a sense of belonging.

• Global Opportunities: Potential for international exposure and collaboration within Capgemini's global network.

Working Hours:

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

• Flexibility is offered through remote and hybrid work arrangements, allowing for better integration of work and personal life, while maintaining core business hours for collaboration.

📝 Enhancement Note: The salary estimation is based on industry benchmarks for Senior Product Designers in India's major IT hubs, factoring in the specified experience level and the global consulting nature of Capgemini. Benefits are drawn directly from the provided text and augmented with typical offerings for large IT service companies.

🎯 Team & Company Context

🏢 Company Culture

Industry: Technology (IT Services and Consulting), AI, Digital Transformation. Capgemini is a global leader in consulting, technology services, and digital transformation, with a significant focus on leveraging AI to drive business value for its clients.

Company Size: Large Enterprise (over 420,000 employees globally). This scale suggests a structured environment with established processes, ample resources, and diverse career opportunities.

Founded: Approximately 60 years ago (as per the description), indicating a long-standing presence and deep experience in the IT industry.

Team Structure:

• Product Design Team: Likely part of a larger digital or technology services division. The Senior Product Designer will be expected to mentor other designers, indicating a team structure with varying levels of experience.

• Cross-Functional Collaboration: The role requires close partnership with Product Managers, AI/ML teams, and Frontend Engineering, suggesting a matrixed or project-based team structure where collaboration is key.

• Reporting: The Senior Product Designer will likely report to a Design Lead, Head of Product, or a similar leadership role within the Neo product development stream or the broader design organization.

Methodology:

• Agile Development: Given the nature of software product development, the teams likely operate under Agile methodologies, involving iterative cycles of design, development, and testing.

• User-Centered Design: A strong emphasis on user needs, research, and testing is evident in the role's responsibilities.

• AI-Driven Innovation: The core of the "Neo" product is AI, suggesting that the team's methodology will heavily incorporate AI/ML capabilities and their UX implications.

• Design System Driven: The emphasis on establishing and maintaining a design system points to a structured approach to ensure consistency and efficiency across product development.

Company Website: www.capgemini.com

📝 Enhancement Note: Capgemini's large size and global presence mean that the "Neo" product, while focused on AI, is likely part of a broader strategy to help clients leverage advanced technologies. The culture is expected to be professional, collaborative, and driven by client outcomes, with a strong emphasis on innovation and continuous learning.

📈 Career & Growth Analysis

Operations Career Level: This role is positioned at a Mid-Senior to Senior level, specifically within Product Design. It signifies a transition from individual contributor focused solely on execution to a role that involves strategic input, mentorship, and leadership in design. The responsibilities include not only designing features but also shaping the design system and guiding other designers.

Reporting Structure: The Senior Product Designer will likely report to a Design Manager, Director of Product Design, or a Product Lead within the "Neo" product initiative. They will work closely with cross-functional teams, including Product Management, AI/ML Engineering, and Frontend Development.

Operations Impact: The Senior Product Designer's impact is centered on shaping the user experience of AI-driven products, directly influencing user adoption, satisfaction, and the perceived value of Capgemini's "Neo" platform. By designing intuitive and trustworthy AI interfaces, they contribute to:

• Client Success: Ensuring Capgemini's clients can effectively leverage AI for business transformation.

• Product Adoption: Making the "Neo" platform easy and desirable to use, driving user engagement.

• Innovation Leadership: Positioning Capgemini as a leader in AI-native product design.

• Efficiency & Automation: Designing workflows that streamline user tasks and leverage AI for automation.

Growth Opportunities:

• Leadership in AI Design: Deepen expertise in designing for cutting-edge AI technologies, becoming a subject matter expert within Capgemini and the industry.

• Design System Ownership: Take on greater responsibility for the evolution and strategic direction of the Neo design system.

• Mentorship & Team Growth: Expand mentorship responsibilities, potentially leading a sub-team of designers.

• Product Strategy Influence: Contribute more significantly to the product strategy and roadmap for AI-powered solutions.

• Client-Facing Roles: Transition into roles that involve direct client interaction to present design solutions and gather requirements for bespoke AI implementations.

• Specialization: Further specialize in areas like conversational AI, prompt engineering UX, or agentic workflow design.

📝 Enhancement Note: The Senior role implies a trajectory towards design leadership, product strategy, and deep specialization in emerging areas like AI UX. Growth opportunities are tied to both technical depth in AI design and leadership capabilities within a large, global organization.

🌐 Work Environment

Office Type: The job description mentions "remote and hybrid work options," indicating that Capgemini supports a flexible work environment. This could mean a mix of working from a Capgemini office location and working remotely from home. The presence of multiple office locations across India suggests that employees will be based out of one of these hubs.

Office Location(s): Pune, Bangalore, Noida, Chennai, Hyderabad, Gurgaon, Navi Mumbai, Kolkata, Salem, Kanchipuram, Coimbatore, Gandhinagar, Bhubaneswar, Mumbai, India. This extensive list covers major metropolitan and industrial centers across India, offering flexibility in choosing a location close to the candidate.

Workspace Context:

• Collaborative Spaces: Offices likely feature modern collaborative spaces designed to facilitate teamwork and brainstorming, essential for cross-functional product development.

• Technology & Tools: Employees will have access to standard corporate IT infrastructure and the specific design and development tools required for their roles, including high-performance workstations and relevant software licenses (e.g., Figma).

• Team Interaction: Hybrid models encourage in-person collaboration for key meetings, workshops, and team-building activities, balanced with remote work for focused individual tasks.

Work Schedule:

• The standard work week is anticipated to be around 40 hours.

• The hybrid arrangement provides flexibility in structuring the work week, allowing individuals to balance focused design tasks (potentially better suited for remote work) with collaborative sessions (often more effective in person). This flexibility is crucial for managing complex design processes and meeting project deadlines effectively.

📝 Enhancement Note: The hybrid nature of the work environment, combined with multiple office locations, offers considerable flexibility. Candidates should clarify specific hybrid expectations (e.g., number of days in office per week/month) with the hiring team. The focus is on enabling productivity through a blend of in-office collaboration and remote focus.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A recruiter or hiring manager will review applications and portfolios to assess basic qualifications and alignment with the role's core requirements, particularly Figma proficiency and AI UX experience.

• Portfolio Presentation & Discussion: Candidates will likely present their portfolio, focusing on key case studies that demonstrate their expertise in AI-native design, conversational flows, and system thinking. This stage will involve in-depth discussions about design decisions, problem-solving approaches, and impact.

• Technical/Design Challenge: A practical design exercise might be given to assess problem-solving skills, design process, and ability to translate complex requirements into tangible design solutions within a given timeframe. This could involve designing a specific AI interaction or workflow.

• Cross-Functional Interviews: Interviews with Product Managers, AI/ML Engineers, and Frontend Engineers to evaluate collaboration skills, communication clarity, and understanding of technical constraints and AI capabilities.

• Hiring Manager/Leadership Interview: A final interview with the hiring manager or senior design leadership to assess overall fit, leadership potential, and strategic alignment with Capgemini's vision for AI-driven products.

Portfolio Review Tips:

• Curate Strategically: Select case studies that directly highlight your experience with AI-native UX, conversational design, LLM implications, and design systems. Prioritize quality over quantity.

• Tell a Story: For each case study, clearly articulate the problem, your role and process, the challenges faced, the rationale behind your design decisions, and the measurable impact or learnings. Use visuals effectively.

• Showcase Figma Expertise: Be prepared to walk through your Figma files, demonstrating your understanding of components, libraries, prototyping, and collaboration features.

• Quantify Impact: Wherever possible, include metrics that demonstrate the success of your designs (e.g., increased user engagement, improved task completion rates, positive feedback).

• Address AI Nuances: Explicitly discuss how you've considered LLM behaviors, trust factors, and ethical implications in your AI design work.

Challenge Preparation:

• Understand AI UX Principles: Refresh your knowledge of best practices for designing conversational interfaces, agentic workflows, and prompt-based interactions.

• Practice Problem Decomposition: Be ready to break down a complex AI design problem into manageable components.

• Articulate Your Process: Clearly explain your design process, from understanding requirements to delivering a solution.

• Focus on Trade-offs: Be prepared to discuss the trade-offs you considered (e.g., usability vs. technical feasibility, AI capabilities vs. user control).

• Prepare Questions: Have thoughtful questions ready about the team, product, challenges, and design culture at Capgemini.

📝 Enhancement Note: The application process emphasizes a strong portfolio showcasing specialized AI UX skills. Candidates should anticipate in-depth discussions and potentially a practical design challenge that tests their ability to apply design principles to complex AI scenarios.

🛠 Tools & Technology Stack

Primary Tools:

• Figma: This is a mandatory requirement and the primary tool for design, prototyping, and collaboration. Mastery is expected, including advanced features like component libraries, auto-layout, and interactive prototyping.

• Design System Tools: Proficiency with tools and methodologies for managing and contributing to design systems. This might involve Figma's component features, or potentially separate documentation platforms.

Analytics & Reporting:

• While not explicitly mentioned as a requirement for the designer, familiarity with how user behavior analytics (e.g., tools like Google Analytics, Mixpanel, Amplitude) and A/B testing platforms inform design decisions is beneficial.

• Understanding how to interpret data to drive design improvements will be key for iterating on the "Neo" product experience. CRM & Automation:

• Not directly relevant to the core design role, but understanding how design integrates with CRM (e.g., Salesforce) or marketing automation platforms might be useful in broader enterprise contexts. AI/ML Specific Tools (Familiarity):

• LLM Platforms: Awareness of major LLM providers (e.g., OpenAI, Google AI, Anthropic) and their APIs can provide context.

• Conversational AI Platforms: Familiarity with platforms used for building chatbots or virtual agents (e.g., Dialogflow, Rasa) could be advantageous.

• Prototyping Tools: Beyond Figma, tools like InVision, Principle, or Adobe XD might be supplementary but Figma is the primary focus.

📝 Enhancement Note: The critical tool for this role is Figma. Proficiency in AI/ML concepts and related platforms is more about understanding the context of the product being designed for, rather than hands-on development. The emphasis is on how design interacts with and shapes AI capabilities.

👥 Team Culture & Values

Operations Values:

• Innovation & AI-Forward: A strong drive to leverage cutting-edge AI technologies to create transformative solutions for clients.

• Client-Centricity: A commitment to delivering tangible business value and solving complex client challenges through technology and design.

• Collaboration & Teamwork: Emphasis on working together across disciplines and geographies to achieve shared goals, fostering a supportive and inclusive environment.

• Excellence & Quality: A dedication to high standards in design, development, and client delivery, with a focus on creating robust and user-friendly products.

• Continuous Learning: Encouragement of professional growth, skill development, and staying abreast of the rapidly evolving technology landscape, especially in AI.

Collaboration Style:

• Cross-Functional Integration: The design team is expected to be deeply integrated with product management, engineering (especially AI/ML and frontend), and potentially client stakeholders.

• Iterative & Agile: Collaboration likely follows agile principles, with frequent communication, feedback loops, and shared ownership of project outcomes.

• Open Communication: A culture that values open dialogue, constructive feedback, and the sharing of ideas to drive collective improvement and innovation.

• Mentorship & Knowledge Sharing: Senior members are encouraged to mentor junior colleagues, fostering a learning environment where knowledge and best practices are shared widely.

📝 Enhancement Note: Capgemini's culture, as a large global consultancy, likely balances a structured, process-oriented approach with a drive for innovation, particularly in emerging fields like AI. The emphasis on client success and collaboration is paramount.

⚡ Challenges & Growth Opportunities

Challenges:

• Designing for Ambiguity in AI: Navigating the inherent unpredictability and evolving nature of LLMs and AI models to create reliable and trustworthy user experiences.

• Balancing Innovation with Usability: Ensuring that cutting-edge AI features are accessible and intuitive for a broad range of users, not just AI experts.

• Building User Trust: Developing interaction patterns and transparency mechanisms that foster user confidence in AI-generated outputs and system behavior.

• Rapid Technological Evolution: Keeping pace with the fast-changing AI landscape and adapting design strategies accordingly.

• Cross-Disciplinary Alignment: Effectively bridging the gap between AI/ML capabilities, engineering constraints, and user needs in a complex organization.

Learning & Development Opportunities:

• Specialized AI UX Training: Access to internal and external training programs focused on advanced conversational design, prompt engineering UX, and agentic workflow design.

• Design System Leadership: Opportunities to take ownership of and significantly influence the evolution of Capgemini's design systems for AI products.

• Mentorship Programs: Formal and informal mentorship from senior design leaders within Capgemini, guiding career progression and skill development.

• Industry Conferences & Certifications: Opportunities to attend relevant UX, AI, and design conferences, and pursue certifications to enhance expertise.

• Exposure to Diverse Clients & Projects: Working across various client industries and project types to gain broad experience in applying design solutions to real-world business problems.

📝 Enhancement Note: The challenges are inherent to designing in the AI space, requiring adaptability and a proactive approach to learning. Growth opportunities are strong, leveraging Capgemini's resources for professional development and exposure to high-impact projects.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you designed a complex AI-driven feature. What were the biggest challenges, and how did you address them?" (Focus on your process, decision-making, and problem-solving for AI specifics.)

• "How would you approach designing a user interface for an agentic workflow where the AI needs to take autonomous actions?" (Demonstrate your understanding of control, transparency, and trust in autonomous AI.)

• "Imagine you need to build trust in an AI system that sometimes provides inaccurate information. What design strategies would you employ?" (Highlight your ability to design for AI limitations and build user confidence.)

• "How do you stay current with advancements in AI and their implications for UX design?" (Showcase your commitment to continuous learning in this rapidly evolving field.) Company & Culture Questions:

• "What attracts you to Capgemini and this specific role within the 'Neo' product team?" (Research Capgemini's AI strategy and values.)

• "How do you approach collaboration with AI/ML engineers and product managers who may have different technical perspectives?" (Emphasize your cross-functional collaboration skills and ability to bridge communication gaps.)

• "Describe your experience working with or contributing to design systems. How do you ensure consistency across products?" (Highlight your understanding of design system principles and their importance.)

• "How do you measure the success of your design solutions, especially in the context of AI products?" (Focus on metrics related to user engagement, task completion, trust, and value realization.) Portfolio Presentation Strategy:

• Lead with AI/Conversational Cases: Begin with your strongest case studies in AI-native or conversational design.

• Structure Your Narrative: For each case study, clearly outline: Problem, Your Role, Process, Key Decisions & Rationale, Challenges, Solutions, Outcomes/Learnings.

• Showcase Figma Mastery: Be prepared to share your screen and walk through specific Figma files, demonstrating your proficiency with components, libraries, prototyping, and collaboration features.

• Highlight Impact: Quantify the impact of your designs with data whenever possible. If quantitative data isn't available, use strong qualitative evidence from user testing.

• Be Ready for Deep Dives: Anticipate detailed questions about your design choices, trade-offs considered, and how you handled specific AI-related UX challenges.

📝 Enhancement Note: Interview preparation should focus on showcasing specialized AI UX knowledge and strong design process fundamentals, supported by concrete examples from your portfolio. Be ready to articulate your thought process and the "why" behind your design decisions, especially concerning AI's unique challenges.

📌 Application Steps

To apply for this Senior Product Designer position:

• Submit your application through the provided careers link on the Capgemini website.

• Tailor your Resume: Optimize your resume to highlight your experience with Figma, AI-native UX, conversational design, design systems, and your 5-10 years of relevant experience. Use keywords from the job description.

• Curate Your Portfolio: Ensure your portfolio prominently features case studies demonstrating your expertise in AI UX, conversational design, and complex digital product design. Clearly articulate your process, challenges, solutions, and impact for each project.

• Prepare for Interviews: Practice articulating your design process, problem-solving approach, and experience with AI-specific UX challenges. Be ready to present your portfolio confidently and answer strategy-based questions.

• Research Capgemini: Understand Capgemini's AI initiatives, design philosophy, and company values to demonstrate alignment and interest during the interview process.

⚠️ 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.