📍 Job Overview
Job Title: Senior Product Designer
Company: Sahaj Software
Location: London, England, United Kingdom
Job Type: FULL_TIME
Category: Product Design / UX/UI
Date Posted: 2026-10-29
Experience Level: 5-10 Years
Remote Status: On-site
🚀 Role Summary
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Lead the product design lifecycle for innovative, AI-disrupted software solutions, focusing on problem framing and delivering tangible outcomes.
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Drive product vision and strategy by collaborating closely with CXOs, product owners, engineers, and data scientists to define and execute the product roadmap.
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Champion a consulting-led delivery approach, challenging assumptions, and negotiating design decisions to ensure practical, impactful solutions.
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Utilize AI tools and methodologies to accelerate the design process, from research and ideation to prototyping and iteration, while designing AI-native experiences.
📝 Enhancement Note: This role is positioned as a Senior Product Designer with a strong emphasis on consulting, strategic problem-solving, and leveraging AI. The core function involves translating ambiguous client needs into actionable product designs within a fast-paced, AI-disrupted Software Development Life Cycle (SDLC). The candidate will be expected to not just create artifacts but to influence product direction and "craft new ways of working."
📈 Primary Responsibilities
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Transform ambiguous client requests into well-defined problems, prioritized opportunities, and practical delivery plans.
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Proactively challenge assumptions, agreed scope, and propose constructive solutions backed by evidence and strong arguments.
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Pitch, consult, and negotiate design decisions to facilitate faster iterations and achieve timely decision-making.
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Act as a custodian for the product's north-star vision throughout the entire delivery process, adapting design decisions as new constraints and evidence emerge.
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Own the design process end-to-end, encompassing discovery, concept development, detailed design, build support, launch, and post-launch iteration.
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Produce precise design artifacts, including user flows, wireframes, and interactive prototypes, suitable for engineering development.
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Design for production realities, considering complex workflows, edge cases, data constraints, and system limitations.
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Collaborate effectively within engineering cadences with technologists, data specialists, and product owners, balancing user value, business impact, technical feasibility, and delivery pace.
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Measure post-launch changes using product analytics and user feedback to drive iterative improvements.
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Leverage AI tools across research, synthesis, ideation, and prototyping to compress design cycles.
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Apply critical judgment to AI-generated outputs, discerning when they meet quality standards and when they require refinement.
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Identify opportunities where AI and automation can genuinely enhance user and business outcomes, and conversely, where they are not suitable.
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Design AI-enabled experiences that effectively manage model behavior, uncertainty, and failure states from a user experience perspective.
📝 Enhancement Note: The responsibilities highlight a blend of strategic consulting, hands-on design execution, and forward-thinking AI integration. The emphasis on "challenging the ask," "design that ships," and "AI-accelerated craft" indicates a need for a proactive, results-oriented designer who can navigate complex client environments and contribute to the evolution of design practices in the age of AI.
🎓 Skills & Qualifications
Education: While not explicitly stated, a Bachelor's or Master's degree in Design, Human-Computer Interaction, Computer Science, or a related field is typically expected for senior roles. Equivalent practical experience will also be considered.
Experience: A minimum of 5-10 years of progressive experience in product design, with a significant portion focused on B2B, enterprise platforms, SaaS, data products, or AI-native products.
Required Skills:
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Proven experience in B2B enterprise platforms, SaaS products, data products, or AI-native products.
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Strong command of service design principles and systems thinking applied to complex processes, teams, and technology landscapes.
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Demonstrated ability to lead discovery phases, including planning and conducting user research, stakeholder interviews, and workflow analysis.
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Expertise in conceptualizing and defining product directions based on research and strategic objectives.
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Proficiency in designing and facilitating workshops to align diverse client and delivery teams and drive decision-making.
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Advanced skills in shaping interaction design and information architecture for complex, data-rich products.
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Experience working with design systems and integrating AI tooling into the design workflow.
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Ability to contribute to the growth of a product design capability through developing new ways of working, creating case studies, and producing client-facing thought leadership.
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Excellent problem-framing and analytical skills to translate ambiguous requirements into actionable plans.
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Proficiency in producing precise design artifacts: user flows, wireframes, and prototypes.
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Experience with product analytics and iterating on designs based on data-driven insights.
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Ability to collaborate effectively within agile and engineering-driven environments. Preferred Skills:
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Familiarity with AI model behavior, uncertainty, and failure states in user experience design.
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Experience in consulting environments, with a track record of influencing client strategy and decisions.
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Strong negotiation and pitching skills for design concepts.
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Experience in measuring and iterating on product performance post-launch.
📝 Enhancement Note: The qualifications emphasize a strategic and consultative approach to product design, moving beyond artifact creation to influencing product strategy and driving delivery. The explicit mention of AI tooling and AI-native product design points to a need for forward-thinking candidates comfortable with emerging technologies.
📊 Process & Systems Portfolio Requirements
Portfolio Essentials:
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Showcase a minimum of 2-3 significant B2B, enterprise, SaaS, data, or AI-native product design projects.
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Clearly articulate the problem space, user needs, and business objectives for each project.
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Detail your specific role and contributions, especially in areas like problem framing, strategic ideation, and complex interaction design.
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Demonstrate the application of service design and systems thinking principles in tackling complex challenges.
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Include examples of how you've led discovery phases, conducted user research, and facilitated workshops.
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Present wireframes, user flows, and interactive prototypes that illustrate your design process and final solutions.
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Highlight your experience with design systems and how you've integrated AI tooling or designed AI-enabled experiences.
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Quantify impact where possible, using metrics from product analytics or user feedback to show design improvements and ROI. Process Documentation:
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For each project, be prepared to discuss your design process, including how you:
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Framed ambiguous client asks into solvable problems.
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Ideated and iterated on potential solutions.
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Collaborated with engineers, data scientists, and product owners.
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Managed design decisions and negotiated scope.
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Adapted to new constraints and evidence during delivery.
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Leveraged AI tools to accelerate your workflow.
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Designed for production realities and edge cases.
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Measured success post-launch and iterated.
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📝 Enhancement Note: The portfolio requirements are geared towards demonstrating strategic impact and process proficiency, particularly in complex B2B and AI-driven contexts. Candidates need to show not just design output but also their strategic thinking, consulting skills, and ability to navigate ambiguity and leverage AI.
💵 Compensation & Benefits
Salary Range: Based on industry benchmarks for a Senior Product Designer with 5-10 years of experience in London, England, United Kingdom, the estimated salary range is £70,000 - £95,000 per annum. This range accounts for the seniority of the role, the specific skill set in AI and consulting, and the cost of living in London.
Benefits:
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Unlimited leaves: Offers significant flexibility and work-life balance.
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Open Salaries: Suggests transparency and a willingness to negotiate compensation based on individual experience and market value.
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Life Insurance paid by Sahaj: Provides financial security for the employee's beneficiaries.
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Private Health insurance paid by Sahaj: Ensures access to quality healthcare services.
Working Hours: While not explicitly stated, a standard full-time work week of approximately 40 hours is assumed, aligning with the provided ai_working_hours parameter. Given the "On-site" work arrangement, these hours would typically be observed during business days at the London office.
📝 Enhancement Note: The salary estimate is based on publicly available data for Senior Product Designer roles in London, considering the specified experience level and the unique requirements for AI and consulting expertise. The "Open Salaries" benefit implies a dynamic compensation structure where negotiation plays a key role.
🎯 Team & Company Context
🏢 Company Culture
Industry: Technology / Software Development / Consulting. Sahaj Software operates within the dynamic intersection of technology, consulting, and AI, focusing on helping clients navigate digital transformation and AI disruption.
Company Size: While not explicitly provided, the company structure suggests a growth-oriented firm with a significant presence in consulting and delivery, likely ranging from 50-250 employees, based on the ability to offer comprehensive benefits and attract senior talent.
Founded: The founding date is not provided. However, the emphasis on adapting to AI disruption suggests a company that is forward-looking and evolving its services to meet current market demands.
Team Structure:
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The design team likely operates as a specialized unit within Sahaj Software, potentially comprising Senior Designers, Product Designers, and UX Researchers.
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This role reports into a Design Lead or Head of Design, with close collaboration with Product Owners, Engineering Leads, and Data Scientists.
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Cross-functional collaboration is a cornerstone, with designers embedded within client project teams to co-own product vision and drive delivery. Methodology:
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Data-driven decision-making is paramount, utilizing product analytics and user feedback.
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Agile methodologies are likely employed to manage the SDLC and ensure rapid iteration.
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A consultative approach is embedded, encouraging designers to challenge assumptions and propose innovative interventions.
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AI is integrated as a tool to enhance efficiency and creativity throughout the design process.
Company Website: https://job-boards.eu.greenhouse.io/sahajsoftware
📝 Enhancement Note: Sahaj Software appears to be a modern, agile consultancy focused on leveraging technology, particularly AI, to deliver value to clients. The culture emphasizes trust, respect, transparency, collaboration with top talent, and cross-domain work, indicating a stimulating environment for growth and learning.
📈 Career & Growth Analysis
Operations Career Level: This role is classified as Senior Product Designer, indicating a level of expertise and autonomy requiring 5-10 years of experience. It's a pivotal position that bridges strategic thinking with hands-on execution, influencing product direction and client outcomes.
Reporting Structure: The Senior Product Designer will likely report to a Design Lead or Head of Design. They will work in close partnership with CXOs, Product Owners, Engineering Leads, and Data Scientists, often embedded within client-specific delivery teams.
Operations Impact: The Senior Product Designer has a significant impact on client success by:
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Directly shaping product vision and strategy.
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Ensuring the delivery of high-quality, user-centered, and technically feasible products.
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Driving efficiency and innovation through AI integration.
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Influencing client adoption and satisfaction through well-designed solutions.
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Contributing to the overall product design capability and thought leadership of Sahaj Software. Growth Opportunities:
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Specialization: Deepen expertise in AI-native product design, complex enterprise systems, or service design.
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Leadership: Progress to a Lead Product Designer or Design Manager role, overseeing teams and strategic initiatives.
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Consulting Expertise: Develop advanced consulting skills, client management, and strategic advisory capabilities.
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Innovation: Contribute to internal R&D, explore new design methodologies, and author thought leadership content.
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Cross-Domain Exposure: Gain broad experience across various industries and product types, building a versatile skill set.
📝 Enhancement Note: The growth trajectory for a Senior Product Designer at Sahaj Software appears to be focused on both deepening design expertise and expanding into strategic consulting and leadership. The company's emphasis on AI and innovation provides unique opportunities for skill development in cutting-edge areas.
🌐 Work Environment
Office Type: The role is specified as "On-site," indicating a traditional office-based work environment. This setup is conducive to the collaborative and consultative nature of the role, facilitating in-person workshops, brainstorming sessions, and direct interaction with colleagues and clients.
Office Location(s): The primary office location is London, England, United Kingdom. This central location provides access to a vibrant tech and business ecosystem.
Workspace Context:
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Collaborative Environment: Expect a dynamic workspace designed for collaboration, with meeting rooms, brainstorming areas, and open-plan seating arrangements to encourage interaction among designers, engineers, product owners, and data scientists.
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Tools & Technology: Access to modern design tools, prototyping software, and potentially AI-powered design assistants will be available. High-speed internet and robust IT support are standard.
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Team Interaction: Frequent opportunities for direct interaction with the design team, product teams, and stakeholders, fostering a culture of shared learning and problem-solving.
Work Schedule: The role is full-time, typically around 40 hours per week, with the expectation of being on-site. While there's an emphasis on flexible "Unlimited leaves," the core working hours are likely aligned with standard business operations in London to facilitate team collaboration and client engagement.
📝 Enhancement Note: The on-site work arrangement in London is crucial for the consultative aspect of the role, enabling direct client engagement and close team collaboration. This environment is designed to support the blend of strategic thinking and hands-on execution required.
📄 Application & Portfolio Review Process
Interview Process:
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Initial Screening: A review of your application, resume, and portfolio to assess alignment with the role requirements.
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Portfolio Presentation & Discussion: A session where you present selected projects from your portfolio, focusing on your problem-framing, design process, AI utilization, and impact. Expect in-depth questions about your decision-making, collaboration, and consulting approach.
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Problem-Solving Exercise/Case Study: You may be given a simulated client problem or a design challenge to solve, either pre-interview or during a dedicated session. This will assess your ability to think critically, apply design methodologies, and communicate solutions effectively.
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Team & Stakeholder Interviews: Interviews with potential colleagues (designers, engineers, product owners) and hiring managers to evaluate cultural fit, collaboration style, and strategic thinking.
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Final Interview: A discussion with senior leadership to confirm overall fit and alignment with Sahaj Software's vision and values.
Portfolio Review Tips:
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Curate Strategically: Select projects that best showcase your experience in B2B, enterprise, AI-native products, and your consulting/problem-framing capabilities.
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Tell a Story: For each project, articulate a clear narrative: the problem, your approach, the challenges faced, the solutions developed (including AI integration), and the impact achieved.
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Highlight Your Role: Clearly define your specific contributions, especially in areas of strategic influence, problem definition, and challenging assumptions.
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Showcase AI Integration: Explicitly demonstrate how you've used AI tools to enhance your design process or designed AI-native experiences.
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Quantify Impact: Whenever possible, use metrics (user engagement, conversion rates, efficiency gains) to support your claims of impact.
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Prepare for "Why": Be ready to explain the rationale behind your design decisions and how they align with user needs and business goals.
Challenge Preparation:
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Understand the Context: If given a case study, thoroughly research Sahaj Software, their clients, and the AI landscape.
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Frame the Problem: Practice identifying the core problem and defining the scope of the challenge.
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Outline Your Approach: Prepare a structured approach to solving the problem, detailing research, ideation, design, and validation steps.
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Consider AI: Think about how AI could be leveraged to solve the given problem or enhance the user experience.
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Focus on Delivery: Emphasize practical, deliverable solutions that consider technical feasibility and business constraints.
📝 Enhancement Note: The interview process is designed to be rigorous, assessing not only design skills but also strategic thinking, consulting aptitude, and adaptability to AI-driven workflows. A strong portfolio that tells a compelling story of problem-solving and impact is critical.
🛠 Tools & Technology Stack
Primary Tools:
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Design & Prototyping: Figma, Sketch, Adobe Creative Suite (Illustrator, Photoshop), InVision, Axure RP.
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AI Design Tools: Expect to utilize AI-powered tools for generative design, content creation, research synthesis, and potentially code generation assistance (e.g., tools integrated with generative AI models like Midjourney, DALL-E, or specific AI coding assistants).
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Collaboration Platforms: Slack, Microsoft Teams, Zoom for communication and remote collaboration.
Analytics & Reporting:
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Product Analytics: Google Analytics, Mixpanel, Amplitude, Heap for tracking user behavior and product performance.
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Data Visualization: Tableau, Power BI, or similar tools for creating dashboards and reports to communicate insights.
CRM & Automation:
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CRM: Salesforce, HubSpot (though less direct for a designer, understanding CRM data structures is beneficial for enterprise platforms).
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Project Management: Jira, Asana, Trello for managing design tasks and workflows within engineering sprints.
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Service Design Tools: Miro, Mural for collaborative workshops, journey mapping, and process visualization.
📝 Enhancement Note: Proficiency in industry-standard design tools like Figma is expected. The role also necessitates comfort and a proactive approach to integrating emerging AI design tools and understanding how to leverage them effectively for accelerated craft and innovative solutions. Familiarity with analytics platforms is key for iterating on launched products.
👥 Team Culture & Values
Operations Values:
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Curiosity & Domain Expertise: A deep interest in understanding the "why" behind user struggles and business challenges, driving a desire to solve meaningful problems.
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Trust, Respect, and Transparency: Core tenets of Sahaj Software's culture, fostering an environment where open communication and mutual regard are paramount.
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Collaboration with Finest Minds: An opportunity to work alongside and learn from highly skilled professionals across various domains, fostering a culture of continuous learning.
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Impact-Driven Outcomes: A focus on delivering tangible, valuable results for clients, moving beyond polished artifacts to create real-world impact.
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Adaptability & Future-Forward Thinking: Embracing change, particularly the disruption caused by AI, and proactively shaping "new ways of working" in response.
Collaboration Style:
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Cross-Functional Integration: Designers are expected to be integral members of multi-disciplinary teams, working closely with product owners, engineers, and data scientists.
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Consultative Partnership: A style that involves active listening, constructive challenge, and collaborative problem-solving with both internal teams and external clients.
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Workshop Facilitation: Proactive use of workshops to align stakeholders, generate ideas, and drive consensus.
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Open Feedback Culture: An environment where constructive feedback is encouraged and utilized for continuous improvement of both products and processes.
📝 Enhancement Note: The company culture strongly emphasizes collaboration, intellectual curiosity, and a results-oriented approach, particularly in the context of leveraging AI to drive client success. The values align with a senior role that requires influencing stakeholders and driving strategic initiatives.
⚡ Challenges & Growth Opportunities
Challenges:
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Navigating Ambiguity: Translating vague client needs into clear, actionable design problems and solutions requires strong analytical and problem-framing skills.
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AI Integration Complexity: Effectively using AI tools and designing for AI-native experiences while maintaining user control and ethical considerations.
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Balancing Constraints: Simultaneously managing user value, business impact, technical feasibility, and rapid delivery timelines.
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Challenging the Ask: Constructively pushing back on client assumptions or scope to ensure the most impactful solutions are prioritized and delivered.
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Driving Adoption of New Ways of Working: Championing and integrating AI-accelerated design practices within existing workflows.
Learning & Development Opportunities:
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AI Design Specialization: Opportunities to become an expert in AI-driven design tools, prompt engineering for design, and designing for complex AI interactions.
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Consulting Acumen: Develop advanced skills in client management, strategic advisory, and business development through hands-on project experience.
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Service Design & Systems Thinking: Deepen expertise in mapping and optimizing complex service ecosystems and technical architectures.
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Thought Leadership: Contribute to Sahaj Software's reputation by developing case studies, white papers, and client-facing presentations on AI and design.
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Cross-Domain Exposure: Gain broad experience across diverse industries and product types, enhancing versatility and marketability.
📝 Enhancement Note: The challenges presented are inherent to a senior, consultative role in a rapidly evolving tech landscape. Sahaj Software offers significant growth opportunities by positioning its designers at the forefront of AI innovation and strategic client engagement.
💡 Interview Preparation
Strategy Questions:
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"Describe a time you turned an ambiguous client request into a successful product launch. What was your process?" (Focus on problem framing, collaboration, and iteration.)
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"How do you leverage AI tools in your design process? Can you share an example where AI accelerated your craft or led to a novel solution?" (Demonstrate practical AI application and critical judgment.)
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"Walk us through a complex B2B/enterprise/AI-native product you designed. What were the key challenges, and how did you address them with systems thinking and service design?" (Showcase your strategic approach and domain expertise.)
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"How do you balance user needs, business objectives, technical constraints, and delivery pace when making design decisions?" (Highlight your pragmatic approach and decision-making framework.) Company & Culture Questions:
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"Why are you interested in Sahaj Software, and how does our focus on AI disruption align with your career goals?" (Show your research and alignment.)
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"How do you contribute to a culture of trust, respect, and transparency within a team?" (Address collaboration and interpersonal skills.)
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"Describe your experience working with engineers, product owners, and data scientists. How do you ensure effective collaboration?" (Emphasize cross-functional partnership.) Portfolio Presentation Strategy:
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Start with the "Why": Clearly articulate the problem and your strategic intent for each project.
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Showcase Your Process: Detail your steps, from discovery and research to ideation, design, and iteration, highlighting any AI usage.
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Emphasize Your Role: Be specific about your individual contributions and decision-making.
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Quantify Impact: Present measurable outcomes and explain how your design influenced them.
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Be Ready to Defend: Prepare to answer detailed questions about your choices, trade-offs, and the rationale behind your solutions.
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Conclude with Learnings: Share key takeaways and how they've shaped your future approach.
📝 Enhancement Note: Interview preparation should focus on demonstrating strategic thinking, consultative skills, practical AI application, and a deep understanding of the design lifecycle in complex, enterprise environments. Your portfolio should be the cornerstone of your presentation, illustrating your ability to drive impact.
📌 Application Steps
To apply for this Senior Product Designer position:
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Submit your resume and a compelling portfolio through the provided application link.
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Portfolio Customization: Ensure your portfolio prominently features projects demonstrating your experience in B2B/enterprise/AI-native products, problem framing, systems thinking, and AI integration. Tailor your project descriptions to align with the responsibilities outlined.
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Resume Optimization: Highlight keywords and experiences relevant to "Senior Product Designer," "AI disruption," "consulting," "service design," "systems thinking," and "product vision" to pass ATS screening and capture the recruiter's attention.
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Interview Preparation: Practice articulating your design process, strategic thinking, and collaboration style using the STAR method. Prepare specific examples for common interview questions related to AI, problem-solving, and client interaction.
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Company Research: Familiarize yourself with Sahaj Software's mission, values, and recent work. Understand their approach to AI and consulting to better articulate your fit during interviews.
⚠️ 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.
Application Requirements
The role requires extensive experience in B2B, enterprise, or AI-native product design with a strong focus on systems thinking and service design. You must be comfortable navigating the full design lifecycle, from discovery and research to launch and iteration, while working closely with engineering and data teams.