Product Designer, LSP44

📍 Job Overview

Job Title: Product Designer, LSP44

Company: LSP44

Location: Bengaluru, India

Job Type: Full-time

Category: Product Design / UX Design

Date Posted: August 13, 2026

Experience Level: Mid-Level (2-5 years)

Remote Status: On-site

🚀 Role Summary

• Design and deliver innovative AI-native agent and API infrastructure for the logistics industry, focusing on user experience for both operators and developers.

• Drive end-to-end product design processes, from initial concept and prototyping to shipped product, in a fast-paced, 0-to-1 environment.

• Collaborate closely with Product, Engineering, Sales, and Marketing teams to translate complex operational workflows into intuitive and efficient user interfaces.

• Contribute to the development and evolution of a robust design system and interaction patterns for a growing AI agent portfolio.

📝 Enhancement Note: The role emphasizes a hands-on, builder mentality, requiring the candidate to operate with significant autonomy and directly influence product direction in a lean, senior team setting. The focus on "AI-native agent and API infrastructure" suggests a need for designers who can conceptualize and visualize complex, intelligent systems.

📈 Primary Responsibilities

• Design end-to-end user experiences for LSP44’s AI agents and embeddable interfaces, including dashboards, exception queues, agent monitoring, and configuration tools.

• Partner closely with Product, Engineering, Sales, and Marketing to translate intricate logistics and AI agent workflows into clear, user-friendly designs.

• Develop designs catering to two distinct user groups: LSP operators managing agents daily and developers integrating LSP44 into their own platforms.

• Contribute to and refine LSP44’s design system, establishing consistent interaction patterns as the AI agent portfolio expands.

• Conduct and contribute to user research and testing sessions with LSP operators to validate and iterate on design concepts.

• Rapidly prototype and test agent interaction patterns to gather feedback and de-risk engineering investments.

• Work with forward-deployed engineers to gain direct insights from customer operational realities.

📝 Enhancement Note: The emphasis on designing for "two audiences at once" (LSP operators and developers) is a critical aspect of this role, requiring the designer to balance different user needs, technical capabilities, and workflows within a single product ecosystem. This also implies a strong need for user research and validation to ensure both user groups are effectively served.

🎓 Skills & Qualifications

Education: Bachelor’s degree in Design, Human-Computer Interaction (HCI), or a related field, or equivalent practical experience.

Experience: 4+ years of experience in product design or UX design, with a preference for B2B SaaS or operationally complex domains.

Required Skills:

• Proficiency in Figma and modern prototyping tools.

• Proven track record of partnering directly with engineering teams to ship technical products.

• Strong communication and collaboration skills, capable of engaging effectively with both technical and business stakeholders.

• Experience operating in a lean, fast-moving, 0-to-1 environment, with a preference for direct collaboration over traditional hand-offs.

• Ability to work effectively across distributed teams and different time zones. Preferred Skills:

• Product design experience in logistics, supply chain, or another operationally complex domain.

• Experience designing for AI-driven, agentic, or automation-heavy products.

• Familiarity with supply chain, logistics, or freight brokerage operations.

📝 Enhancement Note: The requirement for "4+ years of experience" combined with the "0-to-1 environment" context suggests that candidates with a demonstrated ability to build and iterate quickly, rather than just maintain existing systems, will be highly valued. The preference for B2B SaaS or complex domains points towards a need for a strategic design approach that considers business impact and intricate user flows.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Showcase end-to-end design process, from initial research and concept development through to shipped product and iteration.

• Include examples of designing complex B2B SaaS products, ideally in operationally intensive industries.

• Demonstrate experience with AI-driven products, agentic systems, or automation-heavy solutions if applicable.

• Highlight collaboration with engineering teams and the ability to translate technical requirements into user-centric designs. Process Documentation:

• Detail your approach to user research, including methods for validating design direction with operational users.

• Illustrate your prototyping workflow, showcasing how rapid iteration informs design decisions before engineering commitment.

• Explain your contribution to and evolution of design systems and interaction patterns.

• Provide examples of how you have translated complex workflows into clear, usable interfaces for different user personas.

📝 Enhancement Note: The portfolio is a critical component. It needs to demonstrate not just visual design skills but a deep understanding of the product development lifecycle, user-centric problem-solving, and the ability to handle complexity, especially within AI and logistics contexts. The emphasis on "shipped product" means showcasing tangible outcomes and impact.

💵 Compensation & Benefits

Salary Range: Based on regional data for a mid-level Product Designer with 4+ years of experience in Bengaluru, India, the estimated salary range would be ₹1,200,000 to ₹2,200,000 per annum. This range accounts for the specialized nature of AI and logistics technology, the company's focus on an AI-native infrastructure, and the high demand for experienced B2B SaaS designers in the Indian market.

Benefits:

• Comprehensive health insurance coverage.

• Paid time off and holidays.

• Opportunities for professional development and continuous learning in AI and logistics technology.

• Potential for stock options or equity, given the company's growth-stage and profitable launch.

• Access to cutting-edge AI tools and technologies for personal and professional use.

Working Hours: Standard 40-hour work week, with flexibility to accommodate distributed team collaboration across different time zones. Occasional extended hours may be required to meet project deadlines or support critical customer deployments.

📝 Enhancement Note: Salary estimates are based on market research for Product Designers in Bengaluru, considering the specified experience level and the niche industry (AI in Logistics). Benefits are inferred based on common offerings for tech companies of this nature, with an emphasis on professional growth and access to advanced technology relevant to the role.

🎯 Team & Company Context

🏢 Company Culture

Industry: Technology, AI, Logistics Technology, API Infrastructure. LSP44 operates at the intersection of AI and logistics, providing critical infrastructure for logistics service providers. This positions the company as a foundational technology provider within a massive, data-rich industry.

Company Size: The description implies a lean, senior team, likely a growth-stage company that has achieved profitability and is now scaling its dedicated infrastructure product. This suggests a culture that values agility, direct impact, and rapid iteration.

Founded: LSP44 is the infrastructure arm of project44, which was founded in 2014. This provides a strong foundation of established data, carrier networks, and customer trust, distinguishing LSP44 from a typical startup.

Team Structure:

• The product and design teams are small, senior, and operate with a high degree of autonomy.

• Close partnership between Product Design, Product Management, and Engineering is a cornerstone of the team's operational model.

• Collaboration extends to Sales and Marketing, and critically, to forward-deployed engineers working directly with customers. Methodology:

• AI-first approach: Every team member is expected to be an intelligent, hands-on user of AI.

• Agile and iterative development: Emphasis on shipping in days rather than quarters, grounded in real customer needs.

• Data-driven decision-making: Leverages a vast logistics data graph to inform product development.

• Customer-centric design: Designs are grounded in real operational complexity and customer feedback.

Company Website: [Company URL not provided, inferred as project44.com based on description]

📝 Enhancement Note: The company's origin as an established infrastructure project within project44, combined with its recent launch as LSP44, suggests a unique culture: established credibility and data assets with the agility and focus of a new, profitable venture. The "AI-native" aspect is central to their identity and operational philosophy.

📈 Career & Growth Analysis

Operations Career Level: This role is positioned as a Product Designer, likely mid-level, with significant ownership and direct impact. It's a "builder" role in a 0-to-1 environment, offering the chance to shape core product experiences from the ground up.

Reporting Structure: While not explicitly stated, the close partnership with Product and Engineering suggests a flat or matrixed reporting structure, with direct reporting likely to a Head of Product Design or a senior Product leader.

Operations Impact: The designer will have a direct impact on the usability and trustworthiness of AI agents and APIs, which are core to the operational efficiency and intelligence of logistics service providers. Success means enabling LSPs to move freight more intelligently and efficiently.

Growth Opportunities:

• Skill Specialization: Deepen expertise in AI-driven product design, complex B2B SaaS, and the logistics domain.

• Leadership Potential: Grow into a lead design role, mentoring junior designers or owning larger product areas as the team scales.

• Strategic Influence: Contribute to product strategy and roadmap decisions based on user insights and design expertise.

• Industry Expertise: Become a recognized expert in designing for AI agents and logistics technology.

📝 Enhancement Note: The role offers a significant opportunity to gain specialized experience in a high-growth, technically complex field (AI in Logistics). The "0-to-1" nature of the product means there's ample room for innovation and for the designer to shape their own career trajectory within the company.

🌐 Work Environment

Office Type: The role is specified as "On-site," indicating a physical office presence in Bengaluru. This suggests a collaborative environment where in-person interaction is valued.

Office Location(s): Bengaluru, India. This location is a major tech hub, offering access to talent and a vibrant ecosystem.

Workspace Context:

• A collaborative workspace designed to foster direct interaction between Product, Engineering, and Design.

• Access to advanced AI tools and technologies, encouraging experimentation and hands-on learning.

• An environment where customer feedback and operational realities are integrated into the daily design process, possibly through direct engagement with forward-deployed engineers.

Work Schedule: Standard full-time hours with an emphasis on flexibility to accommodate collaboration across different time zones. The focus is on outcomes and iterative delivery rather than strict adherence to traditional work hours.

📝 Enhancement Note: The "On-site" requirement in a major tech hub like Bengaluru suggests a preference for in-person collaboration and a structured, yet flexible, work environment. This can be advantageous for teams needing to rapidly align on complex technical and design challenges.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A review of your resume and portfolio to assess alignment with the role's requirements and experience.

• Design Challenge/Case Study: Likely a take-home assignment or an in-interview exercise focused on a specific design problem related to AI agents or logistics workflows, requiring you to demonstrate your end-to-end design process.

• Portfolio Presentation & Discussion: A deep dive into your portfolio, discussing your process, decision-making, and impact on shipped products. Expect questions about your experience with AI, B2B SaaS, and complex domains.

• Team/Hiring Manager Interviews: Conversations to assess cultural fit, collaboration style, and strategic thinking, with a focus on your understanding of AI in operations and logistics.

Portfolio Review Tips:

• Highlight Process: Clearly articulate your design process for each case study, emphasizing research, problem-solving, iteration, and collaboration.

• Showcase Impact: Quantify the impact of your designs whenever possible (e.g., improved efficiency, user satisfaction, adoption rates).

• Focus on AI/B2B: Prioritize projects that demonstrate your ability to design complex, data-driven, or AI-powered B2B solutions.

• Demonstrate Collaboration: Explain how you partnered with engineering, product managers, and other stakeholders.

• Address the Dual Audience: If possible, showcase projects where you designed for multiple user personas with distinct needs.

Challenge Preparation:

• Familiarize yourself with AI agent concepts and their application in operational contexts.

• Research common workflows and pain points in the logistics and freight forwarding industries.

• Practice articulating your design decisions and trade-offs clearly and concisely.

• Be ready to discuss how you would approach designing for trust and transparency in AI-driven systems.

📝 Enhancement Note: The interview process will heavily scrutinize your portfolio and your ability to articulate your design thinking, especially concerning complex technical products and AI. Expect questions that probe your understanding of user empathy in an operational context and your comfort with ambiguity in a rapidly evolving product space.

🛠 Tools & Technology Stack

Primary Tools:

• Design Software: Figma (proficient).

• Prototyping Tools: Modern prototyping tools (e.g., Figma's built-in prototyping, Framer, Principle, etc.).

• User Research Tools: Experience with tools for conducting user interviews, usability testing, and surveys (e.g., UserTesting.com, Lookback, SurveyMonkey).

Analytics & Reporting:

• While not a direct requirement for the designer, understanding how to interpret product analytics and user behavior data to inform design decisions is a plus. Familiarity with tools like Amplitude, Mixpanel, or Google Analytics would be beneficial. CRM & Automation:

• Not directly required for the designer role, but awareness of how CRM systems and workflow automation impact user experience in B2B contexts would be advantageous.

📝 Enhancement Note: Proficiency in Figma is a hard requirement. The emphasis on "modern prototyping tools" suggests a need for dynamic and interactive prototypes that can effectively communicate complex interactions and agent behaviors. Experience with user research tools is crucial for validating design concepts with LSP operators.

👥 Team Culture & Values

Operations Values:

• AI as a Core Competency: A deep belief in leveraging AI to drive efficiency, intelligence, and value for logistics operations. Expect a culture that encourages experimentation and learning with AI.

• Speed and Agility: A commitment to rapid iteration and shipping products quickly to meet the demands of LSPs, valuing action and learning over perfection.

• Customer-Centricity: A strong focus on understanding and solving real-world operational challenges faced by logistics service providers.

• Data-Driven Innovation: Utilizing the extensive data graph to inform product development and identify new opportunities.

• Collaboration and Transparency: Open communication and close partnership across all functions, from product and engineering to sales and customer-facing teams.

Collaboration Style:

• Integrated Teams: Designers work seamlessly with Product Managers and Engineers, acting as a single unit to build and deliver features.

• Direct Customer Engagement: Regular interaction with customers, either directly or through forward-deployed engineers, to gather insights and validate designs.

• Cross-Functional Partnerships: Strong relationships with Sales and Marketing to ensure product-market fit and effective go-to-market strategies.

• Open Feedback Loop: A culture that encourages constructive feedback to drive continuous improvement in both products and processes.

📝 Enhancement Note: The company's values are heavily weighted towards AI, speed, and customer impact, reflecting its positioning as an agile, AI-native infrastructure provider. The collaboration style is expected to be highly integrated and cross-functional, requiring designers to be proactive communicators and team players.

⚡ Challenges & Growth Opportunities

Challenges:

• Designing for AI Trust: Creating interfaces that make complex AI agents understandable, reliable, and trustworthy for users who may not be AI experts.

• Balancing Dual Audiences: Effectively designing for both the operational end-users (LSP operators) and the technical integrators (developers) within the same product suite.

• Navigating Operational Complexity: Translating the intricate, often fragmented, workflows of the logistics industry into intuitive and efficient digital experiences.

• Rapid Iteration in a 0-to-1 Environment: Adapting quickly to evolving product requirements and market feedback in a fast-paced startup setting.

Learning & Development Opportunities:

• AI Design Specialization: Becoming an expert in designing for AI-powered products and agentic systems.

• Logistics Industry Deep Dive: Gaining profound knowledge of the logistics and supply chain ecosystem.

• Cross-Functional Acumen: Developing strong partnerships and understanding across product management, engineering, sales, and marketing.

• Impactful Product Ownership: Taking ownership of significant product areas and driving their success from concept to market.

📝 Enhancement Note: The primary challenges revolve around the inherent complexity of designing for AI in a critical operational domain like logistics, and the need to serve diverse user needs. Growth opportunities are substantial, offering deep specialization and significant ownership.

💡 Interview Preparation

Strategy Questions:

• "How would you design an interface to build trust in an AI agent that makes critical routing decisions for a freight forwarder?" (Focus on transparency, explainability, error handling, and user control.)

• "Describe your process for designing an API integration experience for developers who need to embed LSP44's AI capabilities into their own software." (Focus on documentation, SDK design, developer portals, and ease of use for technical users.)

• "Walk us through a complex B2B SaaS product you designed. What were the biggest challenges, and how did you address them?" (Emphasize your problem-solving approach, user research, and collaboration with engineering.) Company & Culture Questions:

• "What excites you about LSP44's mission and the logistics industry?" (Show genuine interest and understanding of the domain.)

• "How do you approach working in a fast-paced, 0-to-1 environment with distributed teams?" (Highlight your adaptability, proactivity, and communication skills.)

• "How do you ensure your designs are not just aesthetically pleasing but also drive tangible business value and operational efficiency?" (Connect design decisions to business outcomes and operational impact.) Portfolio Presentation Strategy:

• Structure: Organize your presentation logically, starting with the business problem, your process, key decisions, and the final outcome/impact.

• Narrative: Tell a compelling story for each case study, highlighting your role and contributions.

• Visuals: Use clear, high-fidelity mockups and prototypes to showcase your work.

• Q&A: Be prepared to answer detailed questions about your design choices, trade-offs, and the impact of your work. Emphasize your experience with AI, B2B SaaS, and complex operational domains.

📝 Enhancement Note: Interview preparation should focus on demonstrating a deep understanding of the design process, particularly in complex, AI-driven, B2B environments. Be ready to articulate your thought process, justify your design decisions, and showcase your ability to collaborate effectively with technical teams and stakeholders.

📌 Application Steps

To apply for this Product Designer position:

• Submit your application through the provided link on the Greenhouse job board.

• Portfolio Customization: Tailor your portfolio to highlight B2B SaaS, AI, and complex operational design projects. Showcase your end-to-end design process and the impact of your work.

• Resume Optimization: Ensure your resume clearly articulates your 4+ years of experience, proficiency in Figma, and experience with B2B SaaS or similar complex domains. Use keywords from the job description.

• Interview Preparation: Practice presenting your portfolio, focusing on your process, decision-making, and collaboration with engineering. Prepare to discuss your experience with AI and logistics.

• Company Research: Thoroughly research LSP44 and project44, understanding their mission, technology, and the logistics industry they serve. Prepare thoughtful questions for the interviewers.

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

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