Product Designer

📍 Job Overview

Job Title: Product Designer

Company: Wand

Location: New York, New York, United States

Job Type: FULL_TIME

Category: Product Design / GTM Operations

Date Posted: 2026-04-21

Experience Level: 5-10 years

🚀 Role Summary

• Drive end-to-end product design initiatives, focusing on native desktop UI, onboarding flows, and premium user experiences with a strong emphasis on visual and systems thinking.

• Leverage AI tools and LLMs as integral parts of the design process for research, problem framing, and decision-making, alongside expert Figma and design system utilization.

• Champion the core product experience for gamers, ensuring seamless integration across multi-surface ecosystems (Desktop, Web, Overlay) and upholding a high craft standard.

• Own and optimize web presence and marketing pipelines, treating them as tier-one product experiences to enhance user acquisition and brand perception.

• Actively partner with cross-functional teams to define feature scopes, advocate for the player's experience, and shape product strategy from ambiguity to execution.

📝 Enhancement Note: While the core role is Product Design, the emphasis on user acquisition, web presence, and growth pipelines strongly aligns with Go-To-Market (GTM) operations functions that support sales and marketing enablement through product experience. Therefore, the "Category" has been expanded to include GTM Operations.

📈 Primary Responsibilities

• Core Product Ownership (70%): Lead the design of the native desktop UI, onboarding sequences, and Pro/paywall features, ensuring seamless player journeys that respect technical constraints and performance requirements alongside PC games. This includes deep dives into data from Amplitude and internal dashboards, direct player feedback, and collaborative requirement definition.

• Web & Growth Initiatives (30%): Design and iterate on the company's web presence and marketing funnels, treating them as critical product experiences that directly impact user acquisition and brand engagement.

• AI-Assisted Design Workflow: Integrate LLMs (e.g., Claude, ChatGPT) for in-depth problem space exploration, metric interrogation, edge case identification, assumption stress-testing, and prompt engineering for AI-assisted prototyping tools like Claude Code or Cursor.

• Ecosystem Design & Evolution: Design features that span across Wand's multi-surface ecosystem (Desktop, Web, Overlay), collaborating closely with Lead Product Designer to apply, stress-test, and evolve the core design language for native integration.

• Scope Definition & Advocacy: Proactively partner with Product Management, Engineering, and other stakeholders to define feature scopes, challenge ambiguity, and act as a dedicated advocate for the player experience throughout the product development lifecycle.

📝 Enhancement Note: The responsibilities highlight a proactive, data-informed, and AI-integrated approach to product design, emphasizing ownership that extends beyond pixel-pushing to strategy and problem definition. This aligns with senior-level individual contributor roles in product development with GTM implications.

🎓 Skills & Qualifications

Education: While not explicitly stated, a Bachelor's degree in Design, HCI, Computer Science, or a related field, or equivalent practical experience, is generally expected for this level of role.

Experience: 5+ years of product design experience as a high-level individual contributor, with a proven track record of delivering exceptional visual/UI execution and demonstrating deep systems thinking.

Required Skills:

• Product Design Expertise: 5+ years of experience as a high-level individual contributor in product design, with a strong portfolio showcasing visual/UI execution and systems thinking.

• Gaming Culture Affinity: Deep, authentic passion for gaming culture and demonstrated understanding of what constitutes a great gaming experience.

• LLM Proficiency: Active and integral use of Large Language Models (e.g., Claude, ChatGPT) for research, problem framing, decision-making, and workflow enhancement.

• AI-Assisted Prototyping: Proficiency with AI-assisted prototyping tools (e.g., Claude Code, Cursor), with the judgment to select the appropriate tool for validation (coded prototype vs. static comp).

• Figma & Design Systems: Expert-level proficiency in Figma and a comprehensive understanding of design systems principles and application.

• Strategic Product Sense: Ability to thrive in ambiguity, effectively partner with PMs and Design Leadership to shape requirements, and advocate for user experience by pushing back on scope or design decisions when necessary.

• Builder's Mindset: Enthusiasm for fast-moving environments and the autonomy to own problems end-to-end across complex, interconnected systems.

Preferred Skills:

• Growth & Monetization Design: Experience designing high-conversion Growth, Paywall, or SaaS monetization flows.

• Front-End Development: Front-end coding experience (HTML/CSS/JS) or a demonstrated track record of contributing directly to a codebase via AI tools.

• Startup Experience: Experience in rapidly growing startups during significant expansion phases.

• Remote Collaboration: Proven ability to work effectively in a remote setting, comfortable with asynchronous communication and collaboration.

• Knowledge Sharing: A habit of sharing prompts, workflows, and AI learnings with team members.

📝 Enhancement Note: The emphasis on AI tools, data analysis (Amplitude), and growth pipelines suggests a modern, technically adept designer who can operate strategically. The "5+ years" experience level points towards a senior or lead individual contributor role.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Visual & UI Execution: Showcase exceptional visual design skills, UI polish, and attention to detail across various platforms (desktop, web).

• Systems Thinking: Demonstrate the ability to design for complex, interconnected systems, including the application and evolution of design languages and systems.

• End-to-End Ownership: Present case studies that illustrate ownership of problems from initial research and ideation through to final polished execution, including data-informed decisions.

• AI Integration: Highlight instances where AI tools were leveraged to enhance research, ideation, or prototyping processes, detailing the impact on efficiency or outcome.

• Problem Framing: Include examples of how you translated complex product strategies or ambiguous problems into clear design challenges and actionable solutions.

Process Documentation:

• Data-Driven Design: Provide examples of how you used quantitative data (e.g., Amplitude analytics) and qualitative user research to inform design decisions and measure impact.

• AI Workflow Documentation: Detail specific AI prompts, workflows, or methodologies used to solve design problems, showcasing efficiency gains or novel approaches.

• Cross-functional Collaboration: Illustrate your process for collaborating with Product Managers, Engineering, and other stakeholders to define scope, gather requirements, and ensure alignment.

• Design System Application: Show how you've applied, extended, or contributed to design systems, ensuring consistency and scalability across product surfaces.

📝 Enhancement Note: Given the explicit mention of AI tools and data analysis, portfolios should strongly emphasize these aspects, showcasing not just the final designs but the strategic thinking and innovative processes behind them.

💵 Compensation & Benefits

Salary Range: For a Product Designer with 5-10 years of experience in New York City, a competitive salary range would typically fall between $130,000 to $180,000 annually.

• Methodology: This estimate is based on industry benchmarks for senior product designers in major tech hubs like New York City, considering the company's apparent focus on cutting-edge technology (AI, gaming) and its startup nature, which often competes for talent with established tech giants. Data sources include industry salary surveys, compensation data from similar roles at comparable companies, and cost-of-living adjustments for New York City.

Benefits:

• Comprehensive Health Coverage: Medical, dental, and vision insurance plans.

• Generous PTO: Paid time off for vacation, personal days, and holidays.

• Remote Work Flexibility: Ability to work remotely from approved locations (US, UK, Canada).

• Equity/Stock Options: Potential for ownership in a growing startup.

• Professional Development: Opportunities for learning, conferences, and skill development, including AI tool training.

• Hardware Stipend: Allowance for necessary work equipment.

Working Hours: 40 hours per week, with flexibility to accommodate remote and asynchronous collaboration.

📝 Enhancement Note: Salary is estimated based on industry standards for the specified experience level and location. Benefits are inferred based on typical offerings for full-time tech roles in startups, especially those with a remote-friendly policy.

🎯 Team & Company Context

🏢 Company Culture

Industry: Gaming Technology / Software Development. Wand operates at the intersection of gaming and AI, developing tools to enhance player experiences through customization and guidance. This niche requires a deep understanding of gamer culture and technological innovation.

Company Size: The description implies a startup environment, likely small to medium-sized (e.g., 10-100 employees), given the mention of DNA from various established companies and a focus on rapid growth. This size often fosters a collaborative, fast-paced, and impact-driven culture.

Founded: Founded to "make gaming magical," the company's mission is to democratize game enjoyment by making great games accessible to everyone, irrespective of skill or time constraints, through AI-powered tools.

Team Structure:

• Design Team DNA: Composed of individuals with backgrounds from prominent tech and design firms (MetaLab, Palantir, Medal, Airbnb), suggesting a high bar for design quality and strategic thinking.

• Reporting Structure: The Product Designer will likely report to the Lead Product Designer, working closely with Product Managers and Engineering teams.

• Cross-functional Collaboration: High degree of collaboration is expected across design, product, engineering, and potentially marketing/growth teams, emphasizing shared ownership and integrated workflows.

Methodology:

• Data-Driven Product Development: Decisions are informed by data analytics (e.g., Amplitude) and direct player feedback.

• AI Integration: AI is a core tool for research, ideation, and prototyping, not just an add-on.

• Iterative Design: A continuous process of design, validation (using appropriate tools like prototypes or LLMs), and refinement is expected.

• Player-Centricity: A strong focus on understanding and serving the needs of gamers.

Company Website: https://wand.com/

📝 Enhancement Note: The company culture is positioned as innovative, high-craft, and player-focused, leveraging cutting-edge technologies like AI within the gaming space. The team's diverse background suggests a blend of established best practices with startup agility.

📈 Career & Growth Analysis

Operations Career Level: This role is positioned as a high-level individual contributor (Senior Product Designer). It demands autonomy, strategic thinking, and end-to-end ownership of design problems, moving beyond task execution to problem definition and solution shaping.

Reporting Structure: You will report directly to the Lead Product Designer, working collaboratively within a small, agile design team. This structure allows for direct mentorship and significant influence on design direction.

Operations Impact: As a Product Designer, your impact is crucial for the company's Go-To-Market strategy by shaping the user experience for core product features, onboarding, and growth funnels. This directly influences user acquisition, conversion rates, player engagement, and ultimately, revenue through premium features and subscriptions.

Growth Opportunities:

• Design Leadership: Potential to grow into a Lead Product Designer role or manage design initiatives as the company scales.

• AI Design Specialization: Deepen expertise in leveraging AI for design, potentially becoming a thought leader in AI-assisted creative workflows.

• Product Strategy Influence: Contribute significantly to product strategy through data-driven insights and user advocacy, influencing the product roadmap.

• Cross-functional Expertise: Develop a broad understanding of GTM operations, product management, and engineering through close collaboration.

• Gaming Industry Expertise: Become a specialist in designing for the unique demands and culture of the gaming industry.

📝 Enhancement Note: The role offers significant growth potential, particularly for those looking to specialize in AI-driven design, product strategy, and the gaming sector, with a clear path for increasing responsibility and impact.

🌐 Work Environment

Office Type: This is a remote-first position, allowing employees to work from anywhere within the United States, United Kingdom, or Canada. The company emphasizes asynchronous collaboration, suggesting a distributed team structure.

Office Location(s): While remote, the primary derived location is New York, New York, United States, which may indicate a headquarters or a significant presence there. The role is open to candidates in the US, UK, and Canada.

Workspace Context:

• Remote & Asynchronous: Designed for individuals comfortable working independently and communicating effectively across different time zones. Tools and processes are optimized for remote collaboration.

• AI-Enhanced Tools: Access to and expectation of using advanced AI tools (LLMs, AI-assisted prototyping) as part of the daily workflow.

• Collaborative Platforms: Expect to use tools like Figma, Amplitude, and potentially communication platforms optimized for distributed teams (e.g., Slack, Discord) to foster interaction and knowledge sharing.

Work Schedule: A standard 40-hour work week is expected, with flexibility to manage personal schedules around core collaboration times, accommodating asynchronous workflows.

📝 Enhancement Note: The work environment is highly conducive to experienced professionals who value autonomy, flexibility, and cutting-edge technology, particularly those comfortable with remote and asynchronous communication.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: Review of application, resume, and portfolio to assess alignment with required skills and experience.

• Portfolio Presentation & Discussion: A session where candidates present their work, discussing specific case studies, design process, AI tool usage, and decision-making rationale. Expect to elaborate on how you approach ambiguity, use data, and collaborate cross-functionally.

• Design Challenge/Exercise: Potentially a take-home or live design exercise focused on a specific problem relevant to Wand's product, requiring the application of design skills, AI tools, and strategic thinking.

• Team & Leadership Interviews: Conversations with the Lead Product Designer, Product Managers, and potentially other team members to assess cultural fit, collaboration style, and strategic product sense.

Portfolio Review Tips:

• Showcase AI Integration: Clearly articulate how you used LLMs and AI tools in your problem-solving process, including specific prompts, workflows, and the impact on your design outcomes.

• Demonstrate Systems Thinking: Present case studies that highlight your ability to design for complex, interconnected systems, including how you applied or evolved design languages.

• Quantify Impact: Where possible, use data (e.g., from Amplitude, or hypothetical metrics) to demonstrate the success and impact of your designs on user acquisition, engagement, or conversion.

• Problem Framing: Highlight examples where you took ambiguous problems and defined clear design challenges, showing your strategic product sense.

• Craft & Execution: Ensure your portfolio visually reflects the high craft standard mentioned in the job description, with polished UI and attention to detail.

Challenge Preparation:

• AI Tool Familiarity: Be prepared to demonstrate or discuss your proficiency with AI tools in a practical context.

• Gaming Culture Insight: Show a genuine understanding of gaming nuances, player motivations, and the specific challenges of designing for this audience.

• Data Interpretation: Practice interpreting product analytics and user feedback to inform design decisions.

• Cross-functional Communication: Prepare to discuss how you collaborate with non-design stakeholders to align on scope and strategy.

📝 Enhancement Note: The interview process is designed to rigorously assess not only design craft but also strategic thinking, AI proficiency, and cultural fit within an innovative startup environment.

🛠 Tools & Technology Stack

Primary Tools:

• Figma: Expert-level proficiency required for UI design, prototyping, and design system management.

• LLMs (Claude, ChatGPT, etc.): Integral to the workflow for research, ideation, problem framing, and generating design concepts.

• AI-Assisted Prototyping Tools (Claude Code, Cursor): Proficiency expected for rapid prototyping and validation, especially for interactive elements.

• Design Systems: Experience in applying, contributing to, or evolving design systems.

Analytics & Reporting:

• Amplitude: Expected to pull and interpret data from Amplitude for user behavior analysis and decision-making.

• Internal Dashboards: Familiarity with using internal company dashboards for product performance tracking.

CRM & Automation:

• While not explicitly stated, experience with tools that support growth and monetization funnels (e.g., marketing automation platforms, CRM integrations) would be beneficial for the growth-focused aspects of the role.

📝 Enhancement Note: The technology stack emphasizes a blend of industry-standard design tools (Figma) with cutting-edge AI technologies, reflecting the company's innovative approach. Proficiency in data analysis tools like Amplitude is also critical.

👥 Team Culture & Values

Operations Values:

• Innovation & AI-Forward: A commitment to exploring and integrating new technologies, especially AI, to push creative boundaries and enhance efficiency.

• High Craft & Quality: A non-negotiable standard for visual design and user experience quality, ensuring products are not only functional but also aesthetically pleasing and intuitive.

• Player-Centricity: Deep empathy for gamers, with a focus on understanding their needs, frustrations, and desires to build truly magical gaming experiences.

• Autonomy & Ownership: Empowering individuals to take full responsibility for their domains, from problem definition to execution, fostering a proactive and results-oriented environment.

• Data-Informed Decisions: A culture that values quantitative insights and user feedback as crucial inputs for strategic decision-making and design iteration.

Collaboration Style:

• Cross-functional Synergy: Seamless collaboration between design, product, and engineering is paramount, working as a unified team to achieve product goals.

• Asynchronous Communication: A mature approach to remote collaboration, prioritizing clear documentation, thoughtful communication, and efficient use of time across different zones.

• Constructive Feedback Exchange: An environment where critique is welcomed and used constructively to elevate the quality of work and foster continuous improvement.

• Knowledge Sharing: Encouraging team members to share learnings, tools, and workflows, particularly concerning AI applications, to uplift the entire team.

📝 Enhancement Note: The culture is geared towards self-starters who are passionate about gaming, embrace new technologies, and thrive in a collaborative yet autonomous remote setting.

⚡ Challenges & Growth Opportunities

Challenges:

• Designing for Gamer Sensitivity: Gamers are highly discerning; creating UI/UX that resonates with their aesthetic and functional expectations without disrupting gameplay is a significant challenge.

• AI Integration Complexity: Effectively integrating LLMs and AI tools into a design workflow requires continuous learning, prompt engineering skill, and strategic application to yield genuine benefits.

• Balancing Craftsmanship with Speed: Maintaining high visual standards while operating in a fast-paced startup environment that demands rapid iteration and deployment.

• Cross-Surface Consistency: Ensuring a cohesive and native experience across desktop, web, and overlay interfaces for a unified brand and user journey.

• Ambiguity Management: Navigating evolving product strategies and undefined requirements characteristic of a growing startup.

Learning & Development Opportunities:

• AI Design Masterclass: Become a leader in AI-assisted product design, developing advanced prompt engineering skills and novel workflows.

• Gaming Industry Specialization: Gain deep expertise in the nuances of designing for PC gaming platforms and communities.

• Product Strategy Contribution: Influence the product roadmap and strategic direction through impactful design insights and player advocacy.

• Mentorship from Experienced Leaders: Learn from a Lead Product Designer and a team with diverse, high-caliber backgrounds.

• Growth & Monetization Expertise: Develop specialized skills in designing for user acquisition, conversion, and premium feature adoption.

📝 Enhancement Note: The role presents opportunities to tackle complex design challenges at the forefront of AI and gaming, fostering significant professional growth and specialization.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you used AI tools to fundamentally change your design process or uncover a critical insight. What was your prompt strategy, and what was the outcome?"

• "How would you approach designing a new onboarding flow for a complex PC game feature, considering both technical constraints and player learning curves? What data would you look for first?"

• "Walk us through a complex system you designed for. How did you ensure consistency across different surfaces (e.g., desktop vs. web)? What design system principles did you adhere to or evolve?"

Company & Culture Questions:

• "What aspects of Wand's mission to 'make gaming magical' resonate most with you, and how does your design philosophy align with this?"

• "How do you foster asynchronous collaboration and knowledge sharing within a remote design team, particularly when working with cutting-edge tools like LLMs?"

• "Describe your experience working in a fast-paced startup environment. How do you balance speed with the need for high-quality design execution?"

Portfolio Presentation Strategy:

• Narrative Arc: Structure your case studies with a clear beginning (problem/opportunity), middle (process, challenges, AI/data usage), and end (solution, impact, learnings).

• Highlight AI/Data: Dedicate specific sections or talking points to how AI tools and data analytics informed your decisions and improved outcomes.

• Show, Don't Just Tell: Use visuals effectively, but be ready to dive deep into the "why" behind your choices and the strategic thinking involved.

• Quantify Success: Whenever possible, present metrics or well-reasoned estimations of your design's impact on key business goals (e.g., conversion rates, engagement).

• Be Prepared for Questions: Anticipate questions about your process, decision-making, collaboration style, and how you handle ambiguity.

📝 Enhancement Note: Interview preparation should focus on demonstrating a deep understanding of AI's role in design, strategic product thinking, and a genuine passion for gaming, backed by concrete examples from the portfolio.

📌 Application Steps

To apply for this Product Designer position:

• Submit your application through the provided link on Ashby.

• Portfolio Customization: Tailor your portfolio to prominently feature case studies that demonstrate your expertise in AI-assisted design, systems thinking, and end-to-end product ownership. Specifically highlight projects where you leveraged LLMs or AI prototyping tools.

• Resume Optimization: Ensure your resume clearly articulates your 5+ years of experience, proficiency with key tools (Figma, Amplitude, AI tools), and any relevant experience in gaming, growth, or SaaS monetization. Use keywords from the job description.

• Preparation for AI/Data Discussion: Be ready to discuss your specific workflows for using AI tools in design research and ideation, and how you interpret and apply data from sources like Amplitude to inform your design decisions.

• Company Research: Familiarize yourself with Wand's mission, product, and target audience. Understand their positioning in the gaming and AI tech space to articulate your alignment with their culture and goals.

⚠️ 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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