Senior Product Designer
π Job Overview
Job Title: Senior Product Designer
Company: TAXWELL
Location: Remote Location - All States, United States
Job Type: FULL_TIME
Category: Product Design / UX/UI
Date Posted: May 26, 2026
Experience Level: 5+ Years
Remote Status: Fully Remote
π Role Summary
-
Lead the design and implementation of cutting-edge, AI-native user experiences for digital tax preparation software, focusing on generative AI capabilities to revolutionize customer interactions.
-
Champion the adoption and development of AI-driven design patterns and workflows across the product organization, ensuring scalability and consistency.
-
Collaborate closely with Product Management, Engineering, Research, and Data Science teams to translate complex user needs and business objectives into intuitive and impactful product features.
-
Drive design strategy and execution across web, mobile, and emerging AI touchpoints, ensuring a cohesive and superior customer outcome that aligns with business goals and industry best practices.
π Enhancement Note: This role is specifically focused on integrating advanced AI capabilities, particularly generative AI, into the core product experience. The emphasis on "AI-native thinking" and "AI fluency" suggests a forward-thinking organization looking to redefine user interaction within the tax preparation domain. The Senior level implies a need for strategic leadership in design and a proven ability to influence product vision.
π Primary Responsibilities
-
Conceptualize, design, and prototype user experiences and interfaces for web, mobile, and AI-driven touchpoints, leveraging AI-assisted tools for rapid iteration and exploration.
-
Develop comprehensive user journeys, user flows, wireframes, and interactive prototypes to effectively communicate design intent and user interaction paradigms.
-
Define and implement AI-native design patterns and interaction models that enhance user understanding, value, and trust within the tax filing ecosystem.
-
Collaborate with cross-functional teams to define design success metrics, gather qualitative and quantitative data, and prioritize design enhancements based on user feedback and business impact.
-
Articulate design strategies and recommendations to diverse stakeholders, including leadership, using compelling storytelling, data-driven insights, and persuasive communication to influence product vision and execution.
π Enhancement Note: The responsibilities highlight a dual focus on traditional UX/UI craft and pioneering AI-driven design. The expectation to "design AI-powered features or products" and "develop reusable AI-informed design patterns" signifies a strategic imperative to embed AI into the product's DNA. The emphasis on "shipping to production with real outcomes" underscores the need for practical application and measurable results.
π Skills & Qualifications
Education:
-
Bachelorβs degree or equivalent expertise in User Experience, Interaction Design, Communication Design, Information Architecture, Psychology, Human-Computer Interaction (HCI), Human Factors, or a related field.
-
Masterβs degree or equivalent experience in a related field is preferred. Experience:
-
5+ years of relevant experience designing solutions for software, web applications, or native mobile apps.
-
3+ years of experience utilizing industry-standard design and prototyping tools like Figma to create low- and high-fidelity designs.
-
Demonstrated experience shipping end-to-end AI workflows, beyond just conversational interfaces, to production with measurable outcomes. Required Skills:
-
Deep proficiency with AI-powered design tools and workflows, with a proven track record of integrating AI capabilities into the design process and championing adoption.
-
Experience designing AI-powered features or products (e.g., conversational interfaces, intelligent recommendations, predictive workflows, agentic experiences) with a proven ability to ship to production.
-
Demonstrated experience in influencing, negotiating with, and gaining buy-in from stakeholders, including senior leadership.
-
Proficiency in wireframing, prototyping, user testing, and creating high-fidelity visual designs, supporting the end-to-end iterative design process.
-
Foundational understanding of common design heuristics and principles. Preferred Skills:
-
Proficiency with "vibe coding" and AI-assisted prototyping, utilizing generative AI to rapidly bring design ideas to life in code.
-
Experience evaluating and adopting emerging AI technologies to enhance team productivity and design quality.
-
Understanding of responsible AI principles, including bias awareness, transparency, and user trust.
-
Experience unlocking designers to ship code in production, with a clear understanding of the associated tradeoffs.
-
A strong AI fluency trajectory, demonstrating continuous evolution and reinvention of design practice with AI.
π Enhancement Note: The requirements emphasize a unique combination of traditional design expertise and advanced AI fluency. The explicit mention of "AI fluency across four dimensionsβMindset, Strategy, Building, and Accountability" indicates a deeper expectation beyond just tool proficiency; it requires a strategic and transformative approach to design work through AI. The "vibe coding" and "unlocking designers to ship code" points to an innovative and experimental approach to product development.
π Process & Systems Portfolio Requirements
Portfolio Essentials:
-
A comprehensive design portfolio showcasing a range of UX/UI projects, with a strong emphasis on AI-driven product development and innovation.
-
Demonstrate your ability to translate complex user needs and business requirements into intuitive and effective user interfaces and experiences, particularly those enhanced by AI.
-
Include case studies that detail your end-to-end design process, from initial research and conceptualization through to prototyping, user testing, and final implementation.
-
Showcase your experience with AI-powered design tools and workflows, illustrating how you've integrated AI to improve design outcomes, efficiency, or user satisfaction. Process Documentation:
-
Provide examples of how you've defined and documented user journeys, user flows, and interaction models, particularly for AI-powered features.
-
Illustrate your approach to collaborative design processes, including how you work with product management, engineering, and data science to iterate and deliver features.
-
Present how you measure and articulate the success of your designs, using both qualitative and quantitative data, and how this feedback loop informs subsequent design iterations.
-
Detail your experience in creating and presenting design strategies, strategies, and recommendations to stakeholders, with a focus on persuasive communication and data-driven rationale.
π Enhancement Note: Given the role's focus on AI, the portfolio should explicitly highlight projects where AI played a significant part in the design process or the final product. Candidates should be prepared to discuss their "AI fluency trajectory" and how they've "re-designed how design work gets done" using AI.
π΅ Compensation & Benefits
Salary Range:
The typical salary range for a Senior Product Designer in the United States, especially for a fully remote role with a focus on advanced AI integration, can vary significantly based on experience, specific AI expertise, and company compensation philosophy. For a Senior Product Designer with 5+ years of experience and demonstrated AI fluency, a competitive range would generally fall between $140,000 to $190,000 annually. This estimate is based on industry benchmarks from reputable sources such as industry salary surveys, compensation data platforms (e.g., Levels.fyi, Glassdoor, LinkedIn Salary), and an assessment of the specialized AI skills required for this role. Remote positions in high-cost-of-living areas or roles requiring highly specialized AI design skills might command salaries at the higher end of this spectrum.
Benefits:
-
Comprehensive Health, Dental, and Vision Insurance: Providing robust medical coverage for employees and their families.
-
Generous Paid Time Off (PTO): Including vacation days, sick leave, and paid holidays to support work-life balance.
-
401(k) Retirement Plan: With potential company matching to support long-term financial planning.
-
Professional Development & Learning Stipends: Funds allocated for conferences, courses, certifications, and AI-specific training to foster continuous skill enhancement.
-
Home Office Stipend: Financial support for setting up a productive and ergonomic remote workspace.
-
Stock Options or Equity: Potential for ownership in the company, aligning employee success with business growth. Working Hours:
-
Standard full-time role, typically 40 hours per week.
-
Flexibility in daily scheduling is common for remote positions, allowing for asynchronous collaboration and personal time management, while adhering to core working hours for team meetings and critical project touchpoints.
π Enhancement Note: Salary estimates are based on industry standards for Senior Product Designers in the US, with an upward adjustment for the specialized AI expertise and remote nature of the role. The benefits are inferred based on typical offerings for full-time, remote technology roles, with a particular emphasis on professional development related to AI.
π― Team & Company Context
π’ Company Culture
Industry: Tax Technology / Financial Services Software. Taxwell operates within the FinTech sector, specifically focusing on tax preparation software. The industry demands accuracy, compliance, and user-friendliness, with a growing emphasis on leveraging technology, including AI, to enhance customer experience and operational efficiency.
Company Size: The provided data does not specify company size, but the presence of a dedicated Workday recruiting portal suggests a company of moderate to large size, likely with established HR and operational processes.
Founded: The founding date is not specified. However, Taxwell's mission to "make it affordable and easy for individuals and businesses to digitally file their taxes" suggests an established presence or a well-funded startup aiming to disrupt the market.
Team Structure:
-
The Product Design team likely operates as a central function, collaborating closely with Product Management, Engineering, and Data Science. As a Senior Designer, you would be a key contributor, potentially mentoring junior designers and influencing team processes.
-
Reporting structure would typically be to a Design Lead, Head of Product, or a VP of Product/Design, with direct collaboration across product squads.
-
Cross-functional collaboration is paramount, with designers working in agile teams to deliver iterative product improvements. The emphasis on "AI fluency" suggests a culture that embraces innovation and continuous learning. Methodology:
-
Data analysis and insights are crucial, with designers expected to leverage user research, A/B testing results, and analytics to inform design decisions and measure impact.
-
Workflow planning and optimization strategies will be key, especially in defining and refining AI-native user experiences.
-
Automation and efficiency practices are central to the role, particularly through the adoption and development of AI-powered tools and workflows.
Company Website: https://www.taxact.com/ (This is an inference based on the domain_derived field, assuming Taxwell is a part of or related to TaxAct)
π Enhancement Note: The company description and the role's focus on AI suggest a culture that is likely innovative, data-driven, and customer-centric. The "fresh, non-traditional approach to the tax industry" mentioned in the company description implies a dynamic and potentially disruptive environment.
π Career & Growth Analysis
Operations Career Level: This is a Senior Product Designer role, indicating a mid-to-senior level position. It requires significant experience in product design, with a specific specialization in AI-driven user experiences. The role demands not only execution but also strategic thinking, the ability to influence product direction, and potentially mentorship of junior team members. It's a role for an experienced professional ready to take on complex challenges and drive significant product innovation.
Reporting Structure: The Senior Product Designer will likely report to a Design Manager, Head of Product Design, or potentially a VP of Product. They will work within cross-functional product teams, collaborating closely with Product Managers, Engineers, Researchers, and Data Scientists. This structure facilitates agile development and ensures design considerations are integrated throughout the product lifecycle.
Operations Impact: The impact of this role is directly tied to enhancing the customer experience of Taxwell's tax preparation software. By designing intuitive, AI-powered features, the Senior Product Designer will drive user adoption, satisfaction, and retention. This directly contributes to achieving business objectives such as increased user engagement, successful tax filings, and ultimately, revenue growth. The strategic integration of AI is positioned as a key differentiator, directly impacting competitive advantage and market position.
Growth Opportunities:
-
Specialization in AI Design: Deepen expertise in emergent AI technologies (LLMs, multimodal models, agentic AI) and their application in user experience design, becoming a recognized leader in AI-native product design.
-
Leadership & Mentorship: Transition into a Lead Product Designer role, managing a team of designers, setting design vision, and guiding product strategy.
-
Product Strategy Influence: Grow into a more strategic product role, potentially influencing the overall product roadmap and business strategy through design-led innovation.
-
Cross-Functional Leadership: Take on broader responsibilities in driving innovation initiatives across departments, leveraging design thinking and AI expertise to solve complex business problems.
π Enhancement Note: The growth path emphasizes deepening AI expertise and moving into leadership or strategic product roles, reflecting the critical nature of AI in Taxwell's future.
π Work Environment
Office Type: Fully Remote. This role operates entirely remotely, offering flexibility and the ability to work from any location within the United States. This arrangement is ideal for individuals who thrive in independent work environments and value work-life integration.
Office Location(s): While the role is remote, the company is based in Haverford, Pennsylvania, with operations potentially spanning across the United States. This remote-first approach allows access to a broader talent pool and provides employees with location independence.
Workspace Context:
-
The remote work environment necessitates strong self-discipline, effective time management, and proactive communication. Collaboration will primarily occur through digital tools.
-
Access to relevant design and AI tools will be provided or expected to be utilized. This includes industry-standard design software (like Figma) and emerging AI-powered design platforms.
-
Opportunities for team interaction will likely be through virtual meetings, Slack channels, and collaborative online platforms, fostering a connected remote team culture. Work Schedule:
-
A standard full-time schedule of approximately 40 hours per week is expected.
-
Remote roles often offer flexibility in daily hours, allowing individuals to structure their workday around personal needs and core team collaboration times. This flexibility is crucial for managing asynchronous communication and deep work sessions necessary for complex design tasks.
π Enhancement Note: The fully remote nature of the role is a key aspect of the work environment, requiring strong digital collaboration skills and self-management.
π Application & Portfolio Review Process
Interview Process:
-
Initial Screening: A review of your resume and portfolio to assess basic qualifications, experience, and AI fluency. Be prepared to highlight specific AI-related projects and your approach.
-
Design Challenge/Case Study: You may be asked to complete a take-home design challenge or present a detailed case study from your portfolio that demonstrates your problem-solving skills, design process, and AI integration capabilities. Focus on how you applied AI to achieve specific outcomes.
-
Hiring Manager Interview: A discussion with the hiring manager to delve deeper into your experience, AI mindset, strategic thinking, and cultural fit. Prepare to articulate your "AI fluency trajectory" and how you advocate for AI adoption.
-
Cross-Functional Interviews: Interviews with key collaborators (e.g., Product Managers, Engineers, Data Scientists) to assess your ability to work effectively in a cross-functional team and communicate complex design concepts.
-
Final Round: Potentially a presentation to leadership or a final discussion to confirm fit and address any remaining questions.
Portfolio Review Tips:
-
Showcase AI Impact: Prioritize projects where AI played a significant role in the problem-solving, design process, or final product outcome. Clearly articulate the AI components and their contribution to user value or business goals.
-
Process & Rationale: Clearly outline your design process, emphasizing how you leveraged AI tools, generated insights, and made informed design decisions. Explain the "why" behind your choices, especially regarding AI integration.
-
Metrics & Outcomes: Quantify the impact of your designs whenever possible. For AI-powered features, highlight metrics related to user engagement, efficiency gains, satisfaction, or task completion rates.
-
AI Fluency Story: Be ready to discuss your personal "AI fluency trajectory" β how your understanding and use of AI in design have evolved. Share examples of how you've "reinvented the process" with AI.
Challenge Preparation:
-
AI-Centric Problems: Anticipate design challenges that involve AI, such as improving a conversational interface, designing a predictive workflow, or enhancing user trust in AI-generated outputs.
-
Strategic Thinking: Demonstrate your ability to think strategically about how AI can create competitive advantages and transform user experiences.
-
Communication: Practice articulating your design rationale, AI integration strategies, and potential trade-offs clearly and concisely, as you will need to influence stakeholders.
π Enhancement Note: The interview process heavily emphasizes AI fluency and the ability to demonstrate its practical application in design and product development. Candidates should prepare to speak extensively about their experience with AI tools and AI-driven product strategies.
π Tools & Technology Stack
Primary Tools:
-
Figma: Expected to be the primary tool for wireframing, prototyping, and high-fidelity design. Proficiency in advanced features, collaboration, and component-based design is essential.
-
AI-Powered Design Tools: Proficiency with emerging AI tools for design ideation, rapid prototyping, content generation, and workflow automation (e.g., tools that assist with wireframing, UI generation, or user flow creation).
-
Prototyping Tools: Beyond Figma, experience with other advanced prototyping tools may be beneficial for complex interactive simulations.
Analytics & Reporting:
-
User Analytics Platforms: Familiarity with tools like Google Analytics, Mixpanel, Amplitude, or similar platforms to understand user behavior, track feature adoption, and measure design impact.
-
A/B Testing Tools: Experience designing and interpreting results from A/B tests to optimize user experiences and validate design hypotheses.
-
Data Visualization Tools: Ability to interpret and potentially contribute to dashboards (e.g., Tableau, Power BI) to understand key performance indicators and user trends.
CRM & Automation:
-
While not a direct CRM role, understanding how design impacts user journeys within a CRM context or for customer-facing applications is beneficial.
-
Workflow Automation Tools: Familiarity with how design integrates with or can be enhanced by workflow automation, particularly in the context of AI-driven processes.
-
Integration Tools: Awareness of how different software systems integrate, which can influence design decisions for seamless user experiences across platforms.
π Enhancement Note: The core tools are Figma and a strong command of AI-assisted design tools. The role also requires an understanding of how design interfaces with data analytics and potentially automation workflows.
π₯ Team Culture & Values
Operations Values:
-
Customer Advocacy: A deep commitment to understanding and serving the needs of everyday Americans, ensuring tax filing is accessible and advantageous for everyone.
-
Innovation through AI: Embracing AI as a transformative force to redefine user experiences, improve efficiency, and create new possibilities in tax preparation.
-
Data-Driven Decision Making: Relying on qualitative and quantitative data to inform design choices, validate hypotheses, and measure the impact of design solutions.
-
Collaboration & Transparency: Fostering an open environment where cross-functional teams work together effectively, share insights, and provide constructive feedback.
-
Continuous Learning & Adaptability: Encouraging curiosity, experimentation, and a proactive approach to learning new technologies and methodologies, especially in the rapidly evolving field of AI.
Collaboration Style:
-
Agile & Iterative: Working within agile development cycles, with a focus on rapid prototyping, user feedback, and iterative improvements.
-
Cross-Functional Partnership: Seamless collaboration with Product Management, Engineering, Research, and Data Science, ensuring design is integrated from concept to launch.
-
Design Evangelism: Proactively sharing design insights, advocating for user-centered approaches, and educating stakeholders on the value and application of design, particularly AI-driven design.
-
Constructive Feedback Culture: Encouraging an environment where feedback is given and received openly and respectfully, driving continuous improvement for both individuals and the product.
π Enhancement Note: The company culture emphasizes innovation, particularly through AI, and a strong customer focus. The collaborative style is expected to be agile and cross-functional, with an emphasis on learning and data-driven decisions.
β‘ Challenges & Growth Opportunities
Challenges:
-
Pioneering AI-Native Experiences: Designing for entirely new interaction paradigms and user expectations shaped by generative AI, which is still a nascent field for many users.
-
Balancing Innovation with User Trust: Ensuring AI-powered features are not only innovative but also understandable, reliable, and trustworthy, especially in a sensitive domain like taxes.
-
Technical Constraints & AI Integration: Navigating the complexities of integrating advanced AI models and workflows within existing software architecture and development cycles.
-
Educating Stakeholders: Championing the adoption of AI-native design principles and demonstrating their value to a broad range of stakeholders who may have varying levels of AI understanding.
Learning & Development Opportunities:
-
Advanced AI & Design Training: Access to specialized courses, workshops, and conferences focused on generative AI, LLMs, multimodal models, and AI ethics in design.
-
Experimentation with Cutting-Edge Tools: Opportunity to explore and integrate new AI design tools and technologies as they emerge, staying at the forefront of the field.
-
Strategic Product Influence: Developing skills in product strategy and roadmap planning, leveraging AI design expertise to shape the future direction of Taxwell's offerings.
-
Mentorship & Leadership: Opportunities to mentor junior designers and potentially lead design initiatives, developing leadership capabilities.
π Enhancement Note: The challenges are directly tied to the innovative nature of AI, requiring adaptability and a proactive approach to learning. Growth opportunities are focused on deepening AI expertise and advancing into leadership roles.
π‘ Interview Preparation
Strategy Questions:
-
"Describe your AI fluency trajectory. How has your approach to design work evolved with the advent of AI, and what have you abandoned or reinvented?" (Be ready to share specific examples of process changes.)
-
"How would you approach designing an AI-native tax filing experience that prioritizes user trust and understanding, while still leveraging generative AI for efficiency?" (Focus on user education, transparency, and guardrails.)
-
"Imagine we want to use generative AI to help users find tax deductions they might have missed. Walk us through your design process from concept to a potential prototype." (Showcase your end-to-end process, including research, ideation, and AI considerations.) Company & Culture Questions:
-
"What excites you most about Taxwell's mission and our focus on AI in tax preparation?" (Align your passion with the company's goals.)
-
"How do you see AI transforming the tax industry, and what role do you believe design plays in that transformation?" (Demonstrate industry awareness and strategic thinking.)
-
"Describe a time you had to influence stakeholders who were hesitant about adopting new technology or design approaches. How did you gain their buy-in?" (Highlight your persuasion and communication skills.) Portfolio Presentation Strategy:
-
AI Integration as a Core Theme: For each case study presented, explicitly call out the role of AIβwhether it was in the process, the toolset, or the final product. Quantify the impact where possible.
-
"Before and After" AI: If possible, show how AI enhanced or transformed a traditional design process or outcome compared to a non-AI approach.
-
Demonstrate "Mindset, Strategy, Building, and Accountability": Weave these four dimensions of AI fluency into your project narratives. For example, discuss how you strategically evaluated AI capabilities, how you built AI-powered features, and how you ensured accountability for their quality.
-
Interactive Elements: If presenting prototypes, consider demonstrating how AI features would function dynamically, rather than just static mockups.
π Enhancement Note: Prepare to articulate your AI fluency in detail, using specific examples from your portfolio to illustrate your strategic thinking, process innovation, and ability to deliver impactful AI-driven designs.
π Application Steps
To apply for this Senior Product Designer position:
-
Submit your application through the Workday portal link provided.
-
Curate Your Portfolio: Select 2-3 of your strongest projects that best showcase your AI design experience, problem-solving skills, and end-to-end design process. Ensure each project clearly articulates the problem, your role, the AI integration, your solutions, and measurable outcomes.
-
Optimize Your Resume: Tailor your resume to highlight keywords from the job description, especially those related to AI, generative AI, user experience, interaction design, Figma, and cross-functional collaboration. Quantify achievements wherever possible.
-
Prepare Your Narrative: Practice articulating your "AI fluency trajectory" and how you embody the "Mindset, Strategy, Building, and Accountability" dimensions. Be ready to discuss your portfolio projects with confidence and detail.
-
Research Taxwell: Understand Taxwell's mission, their current product offerings, and their strategic focus on AI. Be prepared to discuss how your skills and vision align with their goals.
β οΈ Important Notice: This enhanced job description includes AI-generated insights and operations industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.
Application Requirements
Requires a Bachelor's degree in a design or psychology-related field and 5+ years of experience in software or mobile app design. Must demonstrate deep proficiency in AI-powered design tools and a track record of shipping AI-driven features to production.