Product Designer, LSP44

📍 Job Overview

Job Title: Product Designer, LSP44

Company: project44

Location: Bengaluru, Karnataka, India

Job Type: Full-time

Category: Product Design / UX Design

Date Posted: 2026-08-08

Experience Level: Mid-level (4+ years)

Remote Status: On-site

🚀 Role Summary

• Design and own end-to-end user experiences for LSP44's AI agent and API infrastructure, focusing on making complex logistics workflows intuitive and trustworthy.

• Collaborate closely with Product, Engineering, Sales, and Marketing to translate operational complexities into clear, usable designs for both LSP operators and developers.

• Contribute to the evolution of LSP44's design system and interaction patterns within a fast-paced, 0-to-1 environment.

• Conduct user research and rapid prototyping to validate design decisions and ensure products meet real-world operational needs.

• Shape the future of AI-native agent technology in the logistics and supply chain sector.

📝 Enhancement Note: This role is specifically for a Product Designer focused on AI-native agent and API infrastructure within the logistics sector. The emphasis is on designing for complex operational workflows and two distinct user groups: end-users operating the agents daily and developers embedding the technology. The "0-to-1 environment" suggests a significant opportunity for impact and ownership in a rapidly evolving product.

📈 Primary Responsibilities

• Design intuitive user interfaces and workflows for LSP44's AI agents, encompassing dashboards, exception management queues, agent monitoring, and configuration settings.

• Partner with Product Management to define product strategy and translate business requirements into effective design solutions for AI agents and embeddable APIs.

• Collaborate directly with Engineering teams throughout the product development lifecycle, from concept and wireframing to high-fidelity mockups and iterative refinement, ensuring seamless implementation.

• Lead or actively participate in user research initiatives, including interviews, usability testing, and customer site visits (with forward-deployed engineers), to gather insights and validate design directions.

• Develop and maintain a robust design system, ensuring consistency and scalability across LSP44's growing portfolio of AI agents and developer tools.

• Create rapid prototypes to test and iterate on agent interaction patterns and user flows, minimizing engineering effort and maximizing design effectiveness.

• Design for both the operational end-users of logistics service providers (LSPs) and the developers who integrate LSP44's technology into their own platforms.

• Actively contribute to the evolution of LSP44's product strategy by identifying opportunities where AI and design can drive significant value for logistics operations.

• Support Sales and Marketing efforts by providing design assets and insights that effectively communicate the value proposition of LSP44's AI-driven solutions.

📝 Enhancement Note: The responsibilities highlight a hands-on design role with significant cross-functional interaction. The emphasis on "end-to-end experiences," "partnering closely with Engineering," and "designing for two audiences" indicates a need for a designer who can manage complex projects and user needs simultaneously. The inclusion of "user research and testing" and "rapid prototyping" suggests a user-centered design process is paramount.

🎓 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 strong preference for experience in B2B SaaS, logistics, supply chain, or other operationally complex domains.

Required Skills:

• Proven experience in end-to-end product design, from user research and conceptualization through to shipped product.

• Strong proficiency in Figma and modern prototyping tools for creating interactive mockups and user flows.

• Demonstrated ability to partner directly with engineering teams to deliver technical products efficiently.

• Excellent communication, presentation, and collaboration skills, with the ability to effectively engage with both technical and business stakeholders.

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

• Comfort working within lean, fast-moving, 0-to-1 environments.

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

• Specific experience in the logistics, supply chain, or freight brokerage industries.

• Experience contributing to or evolving design systems.

• Familiarity with user research methodologies and user testing best practices.

• Understanding of API infrastructure and its design implications.

• Experience designing for complex data visualization and exception management interfaces.

📝 Enhancement Note: The requirements emphasize practical experience and a strong portfolio over formal education, aligning with design industry trends. The preference for B2B SaaS and complex domains, coupled with the explicit mention of AI and automation, points towards a candidate who can handle intricate technical products and evolving technologies. The "0-to-1 environment" requirement suggests a need for a proactive and adaptable designer.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• A comprehensive portfolio showcasing an end-to-end design process, demonstrating your ability to tackle complex problems from initial research and ideation to final shipped product.

• Case studies that clearly articulate the problem statement, your design process, key decisions, user research methodologies employed, and the measurable impact of your solutions.

• Examples of designing for B2B SaaS products, ideally within operationally complex industries like logistics or supply chain.

• Prototypes or interactive mockups that illustrate your interaction design skills and ability to translate complex workflows into intuitive user experiences.

• Demonstrations of how you've contributed to or utilized design systems to ensure consistency and scalability. Process Documentation:

• Evidence of user research and testing methodologies, including how you gathered insights and used them to inform design decisions.

• Examples of rapid prototyping and iteration cycles, showcasing your ability to quickly test concepts and gather feedback.

• Documentation of collaboration with engineering teams, highlighting how you partnered effectively to bring designs to life.

• Case studies that specifically address designing for AI-driven features, agentic workflows, or automation-heavy products, if applicable.

📝 Enhancement Note: The portfolio requirements are critical for this role, emphasizing the entire design process and the ability to demonstrate tangible impact. The focus on "end-to-end design," "measurable impact," and "designing for AI/automation" suggests a need for a candidate who can not only create aesthetically pleasing interfaces but also solve complex user and business problems.

💵 Compensation & Benefits

Salary Range: Given the mid-level experience requirement (4+ years) and the location in Bengaluru, India, a competitive salary range for a Product Designer in a tech company like project44 would likely fall between ₹15,00,000 to ₹25,00,000 per annum. This estimate is based on industry benchmarks for similar roles in major tech hubs in India, considering the company's focus on AI and logistics technology.

Benefits:

• Comprehensive health insurance coverage.

• Generous paid time off (PTO) and holidays.

• Opportunities for professional development, including access to training, conferences, and workshops.

• Stock options or equity participation, reflecting the company's growth trajectory.

• Flexible working arrangements within an on-site model, promoting work-life balance.

• Access to cutting-edge technology and tools for design and development.

• Potential for performance-based bonuses and incentives.

• Employee assistance programs and wellness initiatives.

Working Hours: The standard working hours for this role are expected to be 40 hours per week, aligning with typical full-time employment in the tech industry. Given the distributed nature of project44's teams, flexibility may be available, but core hours will likely be established to facilitate collaboration across time zones.

📝 Enhancement Note: Salary ranges for India can vary significantly by city and company size. Bengaluru is a major tech hub, and project44, as a significant player in logistics tech, would likely offer a competitive package. The provided range is an estimation based on general market data for experienced product designers in this location. Benefits are standard for tech companies but are tailored to include aspects relevant to a growing, innovative organization.

🎯 Team & Company Context

🏢 Company Culture

Industry: Technology, specifically AI-native agent and API infrastructure for the logistics and supply chain sector. project44 is a leader in providing real-time supply chain visibility and intelligence.

Company Size: project44 is a rapidly growing, well-funded company, likely employing several hundred to over a thousand employees globally. This size indicates a balance between established processes and the agility of a scale-up environment.

Founded: project44 was founded in 2014, with LSP44 originating from its internal infrastructure development. This long history provides a foundation of deep industry expertise and a proven track record in the logistics data space.

Team Structure: The Product Design team is likely part of a larger Product and Engineering organization. This role will involve close collaboration with Product Managers, Engineers (including forward-deployed engineers), Sales teams, and Marketing. The team operates with a lean, senior structure, emphasizing autonomy and direct impact.

Methodology: LSP44 operates with an AI-first mindset, integrating AI agents and APIs at the core of its offerings. The design process emphasizes rapid iteration, direct customer engagement, and a user-centered approach to translate complex operational needs into intuitive technology. The company values speed, data-driven decision-making, and building technology that LSPs can embed directly into their operations.

Company Website: https://www.project44.com/

📝 Enhancement Note: The context of LSP44 being an established internal project spun into a profitable entity highlights its maturity and market traction. The "AI-native" and "AI agents" focus is central to the company's strategy and will heavily influence the design challenges. The company's scale suggests opportunities for growth and influence, while its founding date indicates stability and deep domain expertise.

📈 Career & Growth Analysis

Operations Career Level: This role is positioned as a mid-level Product Designer (4+ years of experience), with significant ownership and responsibility. It's a hands-on, builder role on a senior team, offering the chance to shape core product areas rather than just executing on defined tasks. The "0-to-1 environment" suggests ample opportunity for rapid advancement and increased scope.

Reporting Structure: The Product Designer will likely report to a Design Lead or Head of Product Design, working within a Product Management and Engineering structure. Close collaboration with Product Managers and Engineering leads is expected.

Operations Impact: The Product Designer will have a direct impact on the usability, adoption, and effectiveness of LSP44's AI agent and API infrastructure. By making complex logistics workflows legible and trustworthy, the designer will directly contribute to the operational efficiency and competitive advantage of logistics service providers, driving revenue and customer success for LSP44.

Growth Opportunities:

• Specialization: Deepen expertise in designing for AI-driven products, agentic systems, and complex operational workflows within the logistics domain.

• Leadership: Potential to grow into a Senior Product Designer role, leading design initiatives for key product areas or mentoring junior designers as the team expands.

• Cross-functional Exposure: Gain extensive experience working with Product, Engineering, Sales, and Marketing, understanding the full product lifecycle and business drivers.

• Impactful Projects: Contribute to defining and building "next generation" products, offering significant visibility and career acceleration.

• Industry Expertise: Develop a unique specialization at the intersection of AI, logistics, and B2B SaaS design.

📝 Enhancement Note: The growth path here is tied to taking on increasing ownership and complexity within a growing product line. The "0-to-1" aspect means that defining and scaling processes and product areas will be key to career progression, offering a faster trajectory than in more established, slower-moving organizations.

🌐 Work Environment

Office Type: The role is designated as "On-site," indicating a physical office presence is required in Bengaluru. This typically means a modern office space designed to foster collaboration and innovation.

Office Location(s): Bengaluru, Karnataka, India. This location is a major technology hub in India, offering access to talent and a dynamic startup ecosystem.

Workspace Context:

• Collaborative Environment: Expect an office designed to encourage interaction, with open spaces, meeting rooms, and potentially dedicated areas for team sprints and design reviews.

• Tools and Technology: Access to industry-standard design software (Figma, prototyping tools) and development tools, supported by IT.

• Team Interaction: Regular face-to-face interactions with design, product, and engineering colleagues, facilitating quick feedback loops and knowledge sharing. The company culture emphasizes inclusivity and celebrating diversity, suggesting a supportive and welcoming atmosphere.

Work Schedule: While the role is on-site, project44 is a global company with distributed teams. This means there may be some flexibility regarding daily start/end times to accommodate collaboration with colleagues in different time zones, but the primary work will be performed from the Bengaluru office.

📝 Enhancement Note: The "On-site" requirement in Bengaluru suggests a company that values in-person collaboration for its core product development teams, especially in a "0-to-1" environment. This also implies a commitment to building a strong local team culture.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A recruiter or hiring manager will review your application and portfolio for fit. Be prepared to articulate your experience with B2B SaaS, complex domains, and AI-driven products.

• Portfolio Presentation/Design Challenge: Expect a session where you present your portfolio, focusing on 1-2 key case studies that demonstrate your end-to-end design process, problem-solving skills, and impact. A design challenge, possibly involving a simulated logistics workflow or AI agent interaction, may be given to assess your design thinking and problem-solving abilities.

• Team Interviews: Interviews with Product Managers, Engineering Leads, and potentially other Designers to assess your technical understanding, collaboration style, and cultural fit. Questions will likely probe your experience working with engineers and translating complex requirements.

• Hiring Manager Interview: A final discussion with the hiring manager to gauge overall fit, career aspirations, and alignment with the team's vision.

Portfolio Review Tips:

• Focus on Process: Clearly outline your design thinking, research methods, ideation stages, and iteration process for each case study.

• Showcase Impact: Quantify the results of your design work whenever possible (e.g., improved conversion rates, reduced error rates, increased user satisfaction).

• Highlight Collaboration: Demonstrate how you partnered with cross-functional teams, especially engineering, and managed stakeholder feedback.

• Tailor to the Role: Emphasize projects that align with B2B SaaS, AI, logistics, or complex operational domains. If you have experience with agentic systems or APIs, make sure to highlight it.

• Be Concise and Clear: Present your work logically and efficiently, respecting the interviewer's time.

Challenge Preparation:

• Understand the Domain: Familiarize yourself with basic logistics workflows, common pain points for LSPs, and the concept of AI agents.

• Think User-Centric: Approach any challenge by first identifying the user(s), their goals, and their pain points.

• Prioritize and Scope: In a timed challenge, focus on delivering a core solution and clearly articulate any assumptions or trade-offs made.

• Communicate Your Thinking: Verbalize your thought process, especially when presenting solutions or making design decisions.

📝 Enhancement Note: The interview process is designed to assess not just design skills but also the ability to navigate complex technical products and collaborate effectively in a fast-paced environment. A strong, relevant portfolio is crucial, and candidates should be prepared to discuss their process and impact in detail.

🛠 Tools & Technology Stack

Primary Tools:

• Figma: Expected to be the primary tool for UI design, wireframing, prototyping, and collaboration. Proficiency is a must.

• Prototyping Tools: Experience with tools integrated within Figma or standalone (e.g., ProtoPie, Principle) for creating interactive prototypes.

• Design System Tools: Familiarity with tools or processes for building, maintaining, and utilizing design systems.

Analytics & Reporting:

• While not a direct design tool, familiarity with how product analytics (e.g., Amplitude, Mixpanel) are used to track user behavior and product performance is beneficial for data-informed design decisions. CRM & Automation:

• No direct CRM/automation tools are specified for the design role, but understanding how these systems integrate with user-facing products can be advantageous.

📝 Enhancement Note: The emphasis is clearly on core design and prototyping tools, with Figma being the centerpiece. The ability to leverage these tools effectively to design for complex AI agents and APIs is key.

👥 Team Culture & Values

Operations Values:

• Speed and Agility: The company operates in a fast-paced, 0-to-1 environment, valuing quick iteration and rapid deployment.

• Data-Driven Decisions: While not a data analyst role, designers are expected to leverage data and user feedback to inform their design choices.

• Customer Focus: A strong emphasis on understanding and solving the real operational complexities faced by logistics service providers.

• Collaboration: Close partnership with Product, Engineering, Sales, and Marketing is fundamental to success.

• Innovation: Pushing the boundaries of AI and API infrastructure in the logistics space.

• Inclusivity: Commitment to creating a diverse and inclusive work environment where everyone can thrive.

Collaboration Style:

• Integrated Teams: Designers work hand-in-hand with engineers and product managers, moving away from traditional "handoff" models.

• Open Communication: Encouragement of direct and honest feedback across all levels and functions.

• Cross-Functional Partnership: Active engagement with Sales and Marketing to ensure product design aligns with market needs and company strategy.

• Knowledge Sharing: A culture that supports sharing best practices and learnings across the design and product teams.

📝 Enhancement Note: The company culture emphasizes a proactive, collaborative, and customer-centric approach, essential for success in a rapidly evolving B2B SaaS environment focused on cutting-edge technology. The inclusion of DEI values is a strong indicator of a modern, forward-thinking workplace.

⚡ Challenges & Growth Opportunities

Challenges:

• Designing for Complexity: Translating highly complex logistics operations and AI agent behaviors into simple, intuitive user experiences for diverse user groups.

• AI Trust and Transparency: Designing interfaces that build trust and provide clarity around AI-driven outputs and decision-making.

• Balancing Two Audiences: Simultaneously designing for both end-users (LSP operators) and developers who embed the technology.

• 0-to-1 Environment: Navigating ambiguity, defining new product areas, and establishing design processes in a rapidly scaling organization.

• Distributed Teams: Effectively collaborating and communicating design vision across different geographies and time zones.

Learning & Development Opportunities:

• AI Product Design Expertise: Become a specialist in designing for AI-native products and agentic systems, a highly sought-after skill.

• Logistics Domain Mastery: Develop deep knowledge of the logistics and supply chain industry, understanding its unique operational challenges.

• Leadership Development: Opportunities to lead design initiatives, mentor junior designers, and influence product strategy as the team grows.

• Industry Conferences & Workshops: Potential to attend relevant industry events focused on design, AI, or logistics technology.

• Continuous Skill Enhancement: Access to learning resources to stay current with design tools, methodologies, and AI advancements.

📝 Enhancement Note: The challenges presented are inherent to working with advanced technology in a complex industry. They also represent significant growth opportunities for a designer looking to expand their skillset and impact.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you designed a complex B2B SaaS product. What were the key challenges and how did you overcome them?" (Focus on your process, collaboration, and impact.)

• "How would you approach designing an interface to build trust in an AI agent's decision for a logistics operator who is under pressure?" (Emphasize transparency, explainability, and user control.)

• "Walk me through your process for designing an API integration from a user experience perspective, considering both the developer and the end-user." (Highlight understanding of technical constraints and user needs.)

• "How do you balance the needs of different user groups (e.g., operators vs. developers) when designing a single product?" (Discuss user research, segmentation, and flexible design patterns.) Company & Culture Questions:

• "What interests you about LSP44 and project44's mission to revolutionize logistics with AI?" (Show genuine interest in the domain and technology.)

• "How do you contribute to a collaborative and inclusive team environment?" (Relate to the company's values.)

• "Describe your experience working in a fast-paced, '0-to-1' environment. What are the pros and cons for you as a designer?" (Demonstrate adaptability and proactivity.) Portfolio Presentation Strategy:

• Storytelling: Frame your case studies as narratives, clearly outlining the problem, your approach, your role, the solution, and the outcome.

• Visual Clarity: Ensure your slides are clean, visually appealing, and effectively showcase your design work. Use high-fidelity mockups and interactive prototypes where appropriate.

• Focus on Impact: Be ready to discuss the measurable business and user outcomes of your designs.

• Address the "Why": Explain the rationale behind your design decisions, linking them back to user needs and business goals.

• Prepare for Questions: Anticipate questions about your process, trade-offs, and how you'd handle specific design challenges related to AI and logistics.

📝 Enhancement Note: Interview preparation should focus on demonstrating a deep understanding of the design process, strong collaboration skills, and an ability to tackle complex technical and operational challenges, particularly in the context of AI and logistics.

📌 Application Steps

To apply for this Product Designer position:

• Submit your application through the project44 careers portal.

• Tailor your Resume: Highlight experience relevant to B2B SaaS, AI-driven products, complex operational domains (logistics, supply chain), and your proficiency with Figma and prototyping tools. Quantify achievements where possible.

• Curate Your Portfolio: Select 2-3 of your strongest case studies that best demonstrate your end-to-end design process, problem-solving skills, and impact, especially those relevant to AI or complex B2B products. Ensure it's easily accessible (e.g., via a link).

• Prepare Your Presentation: Practice walking through your portfolio case studies, focusing on clear storytelling, articulating your design decisions, and showcasing the impact of your work. Be ready to discuss your collaboration with engineering.

• Research LSP44 & project44: Understand their mission, target market (logistics service providers), and the role of AI agents in their offerings. This will help you tailor your responses and demonstrate genuine 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.