Product Designer

Kilo Code
Full-time

πŸ“ Job Overview

Job Title: Product Designer

Company: Kilo Code

Location: Remote (Preference for ET, CT, or Western Europe time zones)

Job Type: Full-time

Category: Product Design / Engineering

Date Posted: March 25, 2026

Experience Level: 2-5 Years

Remote Status: Remote Solely

πŸš€ Role Summary

  • Design and iterate on complex software development tools, with a strong focus on AI integration and the developer workflow.

  • Drive product design initiatives from conception through to production, emphasizing speed, iteration, and user-centric problem-solving.

  • Translate intricate technical concepts and AI capabilities into intuitive and user-friendly interfaces for technical users.

  • Collaborate closely with engineering and product teams in a tight-knit, fast-paced environment, prioritizing shipped work and real user feedback.

  • Develop and refine end-to-end user journeys and complex workflows, demonstrating strong systems thinking and a product-minded approach.

πŸ“ Enhancement Note: The role emphasizes a "product-minded" approach, meaning the ideal candidate will be deeply involved in the entire product lifecycle, not just the visual design aspects. The focus on "AI-native" and "developer workflow" suggests a need for understanding technical user needs and the evolving landscape of AI in software development. The requirement for speed and iteration implies a dynamic, agile environment where rapid prototyping and deployment are key.

πŸ“ˆ Primary Responsibilities

  • Lead the design of core product areas, focusing on how AI can be a natural extension of developer workflows and knowledge worker interactions.

  • Define product problems and user needs through research, ideation, and direct collaboration with engineering and product management.

  • Create and iterate on user interfaces, interaction models, and end-to-end user journeys for complex technical products.

  • Prototype concepts using design tools, code, or AI-assisted workflows to effectively communicate ideas and test hypotheses.

  • Own the accountability for design performance in production, focusing on measurable improvements in user engagement and workflow efficiency.

  • Conduct rapid feedback loops, shipping and refining design improvements quickly based on user data and qualitative feedback.

  • Translate complex technical concepts related to AI, developer tools, and infrastructure into simple, intuitive, and effective user experiences.

  • Collaborate closely with engineers throughout the design and development process, ensuring designs are feasible and implemented effectively.

πŸ“ Enhancement Note: The core responsibilities highlight a hands-on, ownership-driven role. The expectation to "own a product area or workflow" within the first week and "drive design direction for a core part of the product" within the first month indicates a significant level of autonomy and impact from the outset. The emphasis on "accountable for how your designs perform in production" and "driving measurable improvements" suggests a strong performance-driven culture with a focus on tangible business outcomes.

πŸŽ“ Skills & Qualifications

Education: No specific degree is mandated, but a strong portfolio demonstrating design thinking and execution is essential.

Experience: 2-5 years of relevant experience in Product Design, with a significant portion focused on technical products or complex SaaS systems. Experience as a senior individual contributor owning problems end-to-end is highly valued.

Required Skills:

  • Deep product-mindedness with a focus on production outcomes.

  • High speed of execution and iteration, with a bias for shipping and learning.

  • Ability to zoom out for end-to-end journeys and zoom in for interaction details and states.

  • Comfort designing for technical users, including developers and knowledge workers interacting with AI.

  • Strong systems thinking capabilities to design across complex workflows.

  • Proficiency in translating complex technical concepts into simple, intuitive interfaces.

  • Ability to work effectively through ambiguity and incomplete information.

  • Excellent collaboration skills with engineering and product teams.

  • Fluency in understanding and designing for AI-driven workflows.

  • Proficiency in prototyping using design tools, code, or AI-assisted methods.

Preferred Skills:

  • Experience designing developer tools or complex SaaS systems.

  • Experience working on AI-native features or products.

  • Familiarity with frontend development concepts and implementation.

  • Experience contributing to or working within a design system.

  • Demonstrated ability to drive measurable improvements in key workflows.

πŸ“ Enhancement Note: The required skills emphasize a proactive, results-oriented designer who can thrive in a fast-paced, ambiguous environment. The "AI-native" fluency is a key differentiator. The preferred skills suggest that candidates with prior experience in similar domains (dev tools, AI products, frontend) will have an advantage, but the core requirements focus on mindset and execution capabilities.

πŸ“Š Process & Systems Portfolio Requirements

Portfolio Essentials:

  • Showcase end-to-end ownership of design problems, from initial concept to shipped product.

  • Include case studies demonstrating how you defined problems, tested ideas, and iterated based on user feedback and production data.

  • Highlight projects that involved designing for complex workflows, technical users, or AI-driven features.

  • Demonstrate your ability to translate complex technical concepts into clear, intuitive user interfaces.

Process Documentation:

  • Case studies should clearly articulate the design process followed, including research, ideation, prototyping, and iteration phases.

  • Showcase how you collaborated with engineering and product teams to bring designs to production.

  • Detail the metrics or user feedback used to measure the success of your designs and inform subsequent iterations.

  • Illustrate your approach to systems thinking and designing across interconnected workflows.

πŸ“ Enhancement Note: The portfolio requirements are heavily geared towards demonstrating practical application and impact. The emphasis is not on theoretical concepts but on tangible, shipped work and the process behind it. The "anti-requirements" in the job description ("Needing pixel-perfect specs," "Treating design as a handoff") further underscore the need for a portfolio that reflects collaboration, iteration, and a focus on production realities.

πŸ’΅ Compensation & Benefits

Salary Range: While not specified, for a Product Designer with 2-5 years of experience in a remote, high-demand tech role, especially in AI and developer tools, a competitive salary range in the US would typically fall between $100,000 - $150,000 USD annually. This can vary based on specific location (even within remote roles), candidate experience, and the company's funding and compensation philosophy.

Benefits:

  • Comprehensive health, dental, and vision insurance.

  • Stock options or equity grants, reflecting the startup environment and potential for high growth.

  • Generous paid time off (PTO) and holidays.

  • Home office stipend or equipment allowance for remote work setup.

  • Regular in-person team offsites and hackathons (2-3 times per year) to foster collaboration and team bonding.

  • Professional development opportunities, including training, conferences, and resources for skill enhancement.

  • Support for continuous learning in AI and developer tool trends.

Working Hours: Full-time, approximately 40 hours per week, with an expectation of high energy, intensity, and grit daily. While not a strict 9-9-6, the role demands significant effort and commitment. Flexibility is expected, with a focus on outcomes and productivity.

πŸ“ Enhancement Note: Salary is estimated based on industry benchmarks for remote Product Designers with 2-5 years of experience in AI/developer tool startups in competitive markets. Benefits are inferred from typical startup offerings and the description's mention of team offsites and remote work support. The working hours and "work ethic" section are translated into a more standard benefits format, while still conveying the company's high-performance expectations.

🎯 Team & Company Context

🏒 Company Culture

Industry: Technology, specifically AI-powered developer tools and knowledge worker platforms.

Company Size: Early-stage startup (specific size not provided, but implied to be small and fast-growing).

Founded: Not specified, but the company is actively building AI-native products, suggesting a recent founding or significant pivot.

Team Structure:

  • Small, agile, and highly collaborative teams.

  • Cross-functional collaboration is central, with designers working directly alongside engineers and product managers in integrated loops.

  • Emphasis on individual contribution and ownership, with a flat hierarchy where ideas are valued and execution is paramount.

Methodology:

  • Data-driven decision-making, prioritizing real user feedback and production metrics over internal opinions.

  • Agile and iterative development approach, focusing on shipping quickly and learning from user interactions.

  • Emphasis on systems thinking to ensure coherence across complex workflows.

  • Direct, honest, and transparent communication, including public acknowledgment and direct feedback.

Company Website: https://kilocode.ai/

πŸ“ Enhancement Note: The company culture is characterized by high intensity, rapid iteration, and a strong focus on impact. The "Reality of Working at Kilo" section provides critical insights into the expected work ethic and accountability. The "work setup" details further highlight a preference for agile, collaborative, and remote-first practices with an emphasis on in-person connection through offsites.

πŸ“ˆ Career & Growth Analysis

Operations Career Level: This role is positioned as a key individual contributor (IC) within the product design function, likely at a mid-level to senior IC capacity given the emphasis on ownership and driving direction. The experience level (2-5 years) supports this.

Reporting Structure: While not explicitly stated, the Product Designer will likely report to a Head of Product, Head of Design, or a senior product leader. They will work very closely with engineering leads and product managers.

Operations Impact: The Product Designer will have a direct and significant impact on the company's core product offering, influencing user adoption, engagement, and retention through intuitive and effective design solutions. Their work will be instrumental in shaping how developers and knowledge workers interact with AI, directly contributing to the company's value proposition and market differentiation.

Growth Opportunities:

  • Opportunity to shape the foundational design of AI-native products and influence the future of developer tools.

  • Potential to grow into a senior IC role, becoming a design lead or expert in specific product areas.

  • Possibility of advancing into design leadership roles as the company scales.

  • Continuous learning and development in cutting-edge AI technologies and design methodologies.

  • Building a strong portfolio of impactful, shipped work in a high-growth startup environment.

πŸ“ Enhancement Note: The growth analysis focuses on the impact and potential within an early-stage company. The emphasis is on becoming a foundational member who can influence product direction and evolve with the company's scaling, rather than a traditional, linear career path. The role offers significant autonomy and the chance to tackle complex, forward-thinking problems.

🌐 Work Environment

Office Type: Primarily a remote work environment, with highly valued in-person team offsites and hackathons occurring every 2-3 months. This suggests a hybrid approach where remote work is the norm, but intentional in-person collaboration is prioritized.

Office Location(s): Not specified, but the remote preference for ET, CT, or Western Europe time zones indicates a distributed team where synchronous collaboration within these zones is encouraged. The in-person gatherings are likely in locations conducive to team building and focused work.

Workspace Context:

  • A highly collaborative digital workspace, emphasizing real-time communication and co-creation.

  • Close integration with engineering workflows, often working in the same loop rather than in separate phases.

  • Focus on leveraging technology and AI-assisted workflows for design and development tasks.

  • An environment that values progress over perfection, and real user feedback over internal consensus.

Work Schedule: Full-time, with an emphasis on intensity and grit. While flexible in terms of daily hours, the expectation is significant commitment and productivity. The remote nature allows for some autonomy in structuring the workday, but proximity to core team time zones is preferred for effective collaboration.

πŸ“ Enhancement Note: The work environment is defined by its remote-first nature, balanced by strategic in-person interactions. The description emphasizes a fast-paced, collaborative, and iterative design process that is deeply intertwined with engineering efforts. The culture values direct feedback and user-centricity, creating a dynamic and results-driven atmosphere.

πŸ“„ Application & Portfolio Review Process

Interview Process:

  • Initial Screening: Review of portfolio and resume to assess experience, design thinking, and alignment with the role's requirements.

  • Design Challenge/Case Study: Candidates will likely be asked to present a case study from their portfolio or tackle a specific design problem relevant to Kilo Code's domain. This assesses problem-solving, systems thinking, and communication skills.

  • x-functional Interviews: Interviews with engineers and product managers to evaluate collaboration style, technical understanding, and ability to work through ambiguity.

  • Hiring Manager Interview: Deeper dive into experience, motivations, and cultural fit, focusing on the candidate's approach to speed, iteration, and ownership.

Portfolio Review Tips:

  • Focus on Impact: Showcase projects where your designs led to measurable improvements in user engagement, efficiency, or other key metrics. Quantify results whenever possible.

  • Demonstrate Process: Clearly articulate your design process, including how you identified problems, explored solutions, iterated, and collaborated with stakeholders.

  • Highlight AI & Technical Context: Emphasize any experience with AI, developer tools, or complex technical products. Explain how you translated complex concepts into user-friendly designs.

  • Showcase Speed & Iteration: Include examples of how you worked quickly, iterated based on feedback, and shipped products. The "anti-requirements" are key here.

  • End-to-End Ownership: Present projects where you took ownership from concept to launch, demonstrating your product-minded approach.

Challenge Preparation:

  • Be prepared to discuss your design philosophy, especially regarding speed, iteration, and designing for technical users.

  • Research Kilo Code's mission, products, and the current landscape of AI in developer tools.

  • Think about how you would approach designing a new AI feature for developers or knowledge workers, considering potential challenges and user needs.

  • Practice articulating your design decisions and the rationale behind them, focusing on trade-offs and user impact.

πŸ“ Enhancement Note: The interview process is designed to assess not just design skills but also the candidate's mindset, work ethic, and collaborative abilities, aligning with the company's culture of speed and impact. The portfolio review is critical, serving as the primary evidence of the candidate's ability to meet the role's stringent requirements.

πŸ›  Tools & Technology Stack

Primary Tools:

  • Design & Prototyping Tools: Proficiency in industry-standard tools such as Figma, Sketch, Adobe Creative Suite, or similar. The ability to prototype effectively, potentially even with code or AI-assisted workflows, is crucial.

  • Collaboration Tools: Experience with tools like Slack, Jira, Confluence, or similar for team communication and project management.

  • AI Tools: Familiarity with or ability to quickly learn and leverage AI tools for design assistance, concept generation, or workflow automation.

Analytics & Reporting:

  • Ability to interpret user analytics data from tools like Amplitude, Mixpanel, Google Analytics, or internal dashboards to inform design decisions and measure impact.

CRM & Automation:

  • While not a direct CRM role, an understanding of how user data is managed and how design impacts customer journeys within a SaaS context is beneficial.

  • Familiarity with automation concepts as they apply to design workflows or user experiences.

πŸ“ Enhancement Note: The tech stack emphasizes tools that support rapid iteration, collaboration, and the integration of AI. Proficiency in core design tools is a given, but the ability to leverage AI in the design process and understand data analytics for product improvement are key differentiators.

πŸ‘₯ Team Culture & Values

Operations Values:

  • Speed & Iteration: A core value is the ability to move quickly, make decisions, and iterate based on real-world feedback, rather than striving for perfection in early stages.

  • Product-Mindedness & Ownership: Designers are expected to be deeply invested in the product's success and take full ownership of their design areas, from conception to production impact.

  • Collaboration & Directness: Open, honest, and direct communication is highly valued. Team members support each other but also push each other to achieve ambitious goals.

  • Impact & Accountability: Focus on delivering measurable outcomes and being accountable for the performance of designs in production.

  • User-Centricity: Prioritizing real user feedback and understanding the needs of technical users.

Collaboration Style:

  • Highly collaborative, working directly with engineers and product managers in integrated loops.

  • Emphasis on real-time feedback and co-creation, blurring the lines between design and development phases.

  • Open to constructive criticism and direct feedback, fostering a culture of continuous improvement.

  • Knowledge sharing and collective problem-solving are encouraged to drive innovation.

πŸ“ Enhancement Note: The team culture is defined by a high-performance, results-oriented ethos. Values like speed, ownership, and direct collaboration are paramount, reflecting the dynamic nature of an early-stage AI startup. The ideal candidate will embrace this fast-paced and feedback-driven environment.

⚑ Challenges & Growth Opportunities

Challenges:

  • Designing for Technical Users & AI: Translating highly complex AI concepts and developer workflows into intuitive user experiences requires deep empathy and technical understanding.

  • Pace of Iteration: The expectation of extreme speed and rapid iteration can be demanding and requires a high tolerance for ambiguity and constant change.

  • Defining Success in Production: Owning outcomes and being accountable for production performance means navigating the complexities of user behavior, technical constraints, and market dynamics.

  • Balancing Innovation with Usability: Ensuring that cutting-edge AI features are both powerful and accessible to the target audience.

Learning & Development Opportunities:

  • Deep Dive into AI & Developer Tools: Hands-on experience designing at the forefront of AI-driven software development.

  • Advanced Design Methodologies: Opportunities to refine skills in rapid prototyping, systems thinking, and designing for complex technical domains.

  • Startup Growth Experience: Gaining invaluable experience in a

Application Requirements

The ideal candidate is deeply product-minded, operates with high speed, and excels at both high-level journey mapping and detailed interaction design, comfortable designing for technical users and complex concepts like AI and developer tools. Success requires strong systems thinking, comfort with ambiguity, and a collaborative approach that prioritizes shipping and iteration over perfection.