Staff Product Designer

📍 Job Overview

Job Title: Staff Product Designer

Company: Ridgeline

Location: Reno, NV; New York, NY; San Ramon, CA

Job Type: Full-Time

Category: Product Design / UX / UI (with a strong emphasis on GTM Operations enablement)

Date Posted: September 18, 2026

Experience Level: Mid-Senior to Senior (6+ years)

Remote Status: Hybrid

🚀 Role Summary

• Drive the end-to-end product design process for complex, data-rich workflows within investment management software, specifically focusing on trading and order management systems.

• Conceptualize, design, and deliver intuitive, AI-assisted user experiences that enhance decision-making speed and accuracy for traders.

• Collaborate closely with product management, engineering, and customers to translate deeply technical systems into elegant, user-centric solutions that leverage modern AI tools.

• Contribute significantly to the evolution of Ridgeline's design systems, interaction patterns, and AI design practices to ensure consistency and scalability across the platform.

• Champion a culture of ownership, growth, and transparency, embodying Ridgeline's core values in all design and collaboration efforts.

📝 Enhancement Note: While this role is primarily a Product Designer position, its deep focus on trading workflows, order management, and AI-assisted decision-making within financial services positions it as a critical enabler for Go-To-Market (GTM) operations. Effective product design in this context directly impacts the efficiency, accuracy, and speed with which sales and trading teams can operate, making it highly relevant to operations professionals seeking roles that bridge product and operational efficiency. The emphasis on AI tools like Claude and Cursor also highlights a forward-thinking approach to operational productivity.

📈 Primary Responsibilities

• Lead the design and iteration of complex trading workflows, including order management, exception handling, and automated/AI-assisted trading processes.

• Develop intuitive user interfaces and interaction patterns that simplify deeply technical systems, enabling traders to manage complex activities with greater clarity and speed.

• Extend and apply existing design system patterns (e.g., configurable dashboards) to trading workspaces, ensuring flexibility and user customization.

• Integrate emerging AI capabilities and automation into trading experiences, focusing on agentic behavior, transparency, confidence cues, and user controls.

• Rapidly prototype and iterate on design concepts using modern AI tools such as Claude, Cursor, and Claude Code to explore workflows, identify edge cases, and improve design velocity.

• Translate design concepts into polished, production-ready specifications in Figma, demonstrating strong systems thinking and visual craft.

• Collaborate closely with engineering teams to ensure design feasibility, scalability, and accurate implementation of user experiences.

• Contribute to the growth and refinement of Ridgeline’s design systems, interaction patterns, prompt libraries, and AI design best practices.

• Conduct customer conversations, lightweight research, and usability testing to validate design hypotheses and drive continuous workflow improvement.

• Mentor and provide constructive feedback to fellow designers, elevating design quality and consistency across the organization.

• Proactively identify and solve complex problems, taking ownership of design challenges from conception to delivery.

• Foster a collaborative and transparent team environment, actively participating in knowledge sharing and design critiques.

📝 Enhancement Note: The responsibilities emphasize a blend of strategic design leadership and tactical execution. The requirement to "reimagine workflows" and "build intelligent trading experiences" points to a role that significantly influences operational efficiency for investment firms. The mention of AI tools like Claude and Cursor suggests a focus on leveraging technology to accelerate design processes and enhance product capabilities, directly impacting how efficiently users can leverage the platform for their GTM activities.

🎓 Skills & Qualifications

Education: While no specific degree is mandated, a strong portfolio demonstrating equivalent knowledge and experience in design principles is expected.

Experience: 6+ years of professional experience in designing and shipping successful digital product experiences, with a significant focus on enterprise software or complex workflow applications.

Required Skills:

• Demonstrated expertise in interaction design, systems thinking, visual design, and prototyping.

• Proven experience designing complex workflows, data-intensive applications, or enterprise software platforms.

• Active, hands-on experience with AI-native workflow tools such as Claude, Cursor, or Claude Code integrated into daily product and design practice.

• Ability to distill technically complex systems into intuitive and user-friendly experiences.

• Strong experience collaborating closely with engineering teams to deliver feasible, scalable, and thoughtfully implemented solutions.

• Excellent storytelling, communication, and presentation skills, with the ability to articulate design decisions to diverse stakeholders.

• Proven ability to manage ambiguity, prioritize effectively, and drive clarity in cross-functional team environments.

• Strong problem-solving aptitude and a high degree of product ownership.

• Willingness to learn and develop expertise in investment management workflows and order management systems.

• Ability to communicate effectively with colleagues at all levels of the organization.

• A shareable portfolio (attachment or online link) showcasing relevant design work and process. Preferred Skills:

• Prior experience in financial services, investment management, trading platforms, or other complex financial products.

• Experience conducting formal user research and usability testing to inform design decisions.

• Proficiency with modern front-end technologies, including React, JavaScript/TypeScript, and CSS.

• Experience contributing to comprehensive design systems and facilitating design-to-code workflows.

• Experience designing AI-native product experiences, including agentic behavior, transparency patterns, confidence cues, and user controls.

📝 Enhancement Note: The emphasis on AI-native workflow experience and the ability to design AI-native product experiences is a key differentiator. For operations roles, this indicates a candidate who can leverage cutting-edge technology to improve efficiency and user adoption, directly impacting GTM success metrics. The preference for financial services experience and design system contributions highlights the need for a candidate who can quickly adapt to a specialized domain and contribute to scalable design infrastructure.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Showcase a minimum of 2-3 comprehensive case studies demonstrating end-to-end product design processes for complex applications or workflows.

• Highlight projects involving data-intensive interfaces, enterprise software, or systems requiring significant user workflow optimization.

• Clearly articulate the problem statement, your design process, the challenges faced, and the solutions implemented.

• Demonstrate the use of modern design tools (e.g., Figma) and prototyping techniques.

• Include examples of how you've simplified complex technical systems into intuitive user experiences.

• Showcase contributions to or understanding of design systems and their application. Process Documentation:

• Case studies should detail the user research, ideation, wireframing, prototyping, user testing, and final implementation phases.

• For relevant projects, illustrate how you leveraged AI tools (like Claude, Cursor) to accelerate design exploration, prototype development, or edge-case analysis.

• Present metrics or qualitative feedback demonstrating the impact of your designs on user efficiency, task completion, or decision-making accuracy.

• Explain your approach to collaborating with engineering and product management throughout the design lifecycle.

📝 Enhancement Note: The portfolio should explicitly demonstrate how the candidate has designed for operational efficiency and complex decision-making. Case studies that highlight the simplification of technical processes, the improvement of data-driven workflows, and the integration of AI for enhanced productivity will be highly valued. For a role impacting GTM operations, evidence of designing for speed, accuracy, and user adoption within a complex domain is critical.

💵 Compensation & Benefits

Salary Range:

• Reno, NV & General US Locations: $168,000 - $210,000 USD per year.

• New York, NY & San Ramon, CA (Bay Area): $184,500 - $231,000 USD per year.

Explanation of Range: This range reflects the Staff level Product Designer position, considering the extensive experience required (6+ years), specialized skills in complex enterprise software and AI-native workflows, and the specific cost of living adjustments for high-cost areas like New York City and the San Francisco Bay Area. The higher end of the range accounts for exceptional candidates with extensive domain expertise and a proven track record of impactful design leadership.

Benefits:

• Company Stock Plan (subject to Stock Option Agreement)

• Unlimited Vacation Policy

• Educational Reimbursements

• Wellness Reimbursements

• $0 Cost Employee Insurance Plans

• Opportunities for career advancement and significant product impact.

Working Hours: While standard full-time hours (approximately 40 hours per week) are expected, the hybrid work arrangement offers flexibility. The company culture values results and ownership, suggesting a focus on impactful work rather than strict adherence to hours, allowing for efficient management of personal and professional time.

📝 Enhancement Note: The salary ranges provided are specific to the stated locations and experience level, reflecting industry benchmarks for senior design roles in technology, with adjustments for high-cost-of-living areas. The benefits package is comprehensive, emphasizing employee well-being, long-term investment through stock options, and flexibility, which are attractive attributes for operations professionals seeking a balanced career. The "Unlimited Vacation" policy aligns with a results-oriented culture.

🎯 Team & Company Context

🏢 Company Culture

Industry: Financial Technology (FinTech), specifically Investment Management Software. Ridgeline is modernizing the front-to-back system of record for investment managers, a traditionally complex and technology-lagging sector.

Company Size: The provided LinkedIn data indicates a company size of 201-500 employees. This suggests a company that is past its early startup phase, has established processes, but still retains the agility and collaborative spirit of a growing organization. For operations professionals, this typically means opportunities for impact, clear reporting structures, and a chance to influence process development without being bogged down by excessive bureaucracy.

Founded: Founded by Dave Duffield (co-founder of PeopleSoft and Workday), Ridgeline was created to address the inefficiencies of outdated, disconnected technology in investment management. This founder's pedigree suggests a strong emphasis on scalable enterprise software, user experience, and building a high-performance culture.

Team Structure:

• The Product Design team likely operates within a matrixed structure, collaborating closely with Product Management and Engineering. As a "Staff" level designer, you would be expected to work independently on significant features and potentially mentor junior designers.

• Cross-functional collaboration is paramount, with designers working directly with Product Managers on strategy and requirements, and Engineers on implementation feasibility and technical constraints.

• Direct customer engagement is encouraged, implying designers will be involved in understanding user needs and validating solutions with actual investment professionals. Methodology:

• Data-Driven Design: The role emphasizes "data-rich workflows" and "making faster, smarter decisions," indicating a reliance on data analysis to inform design choices and measure impact.

• Agile & Iterative Development: The mention of rapid prototyping, quick iteration, and collaboration with engineering suggests an agile development environment where designs are continuously refined based on feedback and testing.

• AI Integration: A core aspect of the methodology involves leveraging modern AI tools for design acceleration and embedding AI capabilities into product experiences, reflecting a commitment to innovation and efficiency.

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

📝 Enhancement Note: The company's focus on modernizing a complex industry with a founder known for building successful enterprise software companies provides a strong foundation for understanding the operational context. The size of the company suggests a dynamic environment where operations professionals can contribute to process refinement and strategic initiatives. The emphasis on AI and data integration is particularly relevant for operations roles aiming to leverage technology for efficiency gains.

📈 Career & Growth Analysis

Operations Career Level: This Staff Product Designer role represents a senior individual contributor position within the product design function. For professionals in operations or those looking to bridge product and operations, this level signifies significant autonomy, influence over product direction, and the ability to tackle highly complex problems. It is a role where strategic thinking, deep domain understanding, and mentorship capabilities are highly valued.

Reporting Structure: While not explicitly stated, a Staff Product Designer typically reports to a Design Lead, Director of Product Design, or Head of Design. They would work closely with Product Managers and Engineering Leads on specific product initiatives. This structure allows for both focused execution and strategic alignment with broader product and business objectives.

Operations Impact: The design of trading and order management workflows directly impacts the operational efficiency, accuracy, and speed of investment firms. By creating intuitive, data-rich, and AI-assisted experiences, this role enables traders and portfolio managers to make better decisions faster, reduce errors, and scale their operations without necessarily increasing headcount. This translates to tangible business value and improved GTM effectiveness for Ridgeline's clients.

Growth Opportunities:

• Deep Domain Expertise: Opportunity to become a subject matter expert in investment management, trading workflows, and AI applications within FinTech.

• Leadership & Mentorship: Potential to mentor junior designers, lead design initiatives for major product areas, and influence the company's design strategy and best practices.

• Cross-Functional Advancement: Exposure to product management, engineering, and customer success can open doors to roles with broader strategic scope within the product organization or even into operational leadership if desired.

• Skill Development: Continuous learning in cutting-edge AI tools, design systems, and evolving FinTech trends provides ample opportunities for professional development.

📝 Enhancement Note: For operations professionals, this role offers a unique opportunity to influence the product that drives operational efficiency for clients. The growth path emphasizes not just design skills but also strategic thinking, domain expertise, and leadership, making it a valuable stepping stone for those looking to deepen their understanding of how product design impacts business operations.

🌐 Work Environment

Office Type: The job posting indicates a "Hybrid" work arrangement, with offices located in Reno, NV; New York, NY; and San Ramon, CA. This suggests a modern workplace that balances in-office collaboration with remote flexibility.

Office Location(s):

• Reno, NV: Offers a lower cost of living and a growing tech scene.

• New York, NY: A major financial hub, providing proximity to industry events and talent.

• San Ramon, CA: Located in the San Francisco Bay Area, a significant technology and innovation center.

Workspace Context:

• Collaborative Environment: The hybrid model encourages in-office days for team meetings, design critiques, brainstorming sessions, and building rapport with colleagues.

• Tools & Technology: Designers will have access to industry-standard tools like Figma, and critically, will be encouraged to utilize modern AI tools (Claude, Cursor, Claude Code) as part of their daily workflow, fostering an innovative and efficient working environment.

• Cross-functional Interaction: The workspace design and company culture likely support frequent interaction with product managers, engineers, and potentially customer-facing teams, fostering a holistic understanding of the product lifecycle and user needs.

Work Schedule: While the standard is likely 40 hours per week, the hybrid nature and company culture of "acting like owners" and "biasing toward action" suggest flexibility. This allows operations-minded individuals to manage their time effectively, balancing focused work (whether at home or in the office) with collaborative sessions.

📝 Enhancement Note: The hybrid model is a significant factor for operations professionals who often value flexibility. The presence of offices in key locations provides options for those who prefer or require an in-office component for collaboration and networking. The emphasis on using AI tools within the workspace highlights a commitment to leveraging technology for enhanced productivity, a key theme in modern operations roles.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: Likely a conversation with a recruiter to assess general fit, experience, and interest in Ridgeline.

• Portfolio Review & Design Exercise: A deep dive into your portfolio, focusing on your process, problem-solving skills, and ability to handle complex workflows. This may include a take-home design challenge or an in-person/virtual whiteboard exercise focused on a specific design problem relevant to trading or order management.

• Cross-Functional Interviews: Meetings with Product Management and Engineering leads to assess collaboration style, technical understanding, and ability to work within an agile development environment.

• Staff-Level Interview: Likely with a senior design leader or executive to evaluate strategic thinking, mentorship capabilities, and alignment with company culture and values.

Portfolio Review Tips:

• Focus on Process: Clearly articulate your design process, especially how you approach complex problems, gather requirements, and iterate. Show, don't just tell.

• Highlight AI Integration: For this role, specifically showcase any projects where you utilized AI tools (Claude, Cursor) to enhance your design process or product outcomes. Explain the benefits and challenges.

• Quantify Impact: Whenever possible, use metrics (e.g., improved efficiency, reduced error rates, faster task completion) or strong qualitative evidence to demonstrate the impact of your designs.

• Systems Thinking: Demonstrate your ability to design for scale and consistency, showing how your work fits within a larger design system or product ecosystem.

• Storytelling: Frame your case studies as compelling narratives that highlight the problem, your approach, and the successful outcome.

Challenge Preparation:

• Understand the Domain: Research investment management, trading workflows, order management systems (OMS), and key FinTech terms. Familiarize yourself with the challenges traders face.

• AI Tool Familiarity: Be ready to discuss your experience with AI design tools and how you envision them being used to solve design problems or enhance user experiences in FinTech.

• Problem-Solving: Practice breaking down complex problems into smaller, manageable parts and articulating your thought process clearly and logically.

• Cross-Functional Collaboration: Prepare examples of how you've effectively collaborated with engineers and product managers, especially in challenging situations.

📝 Enhancement Note: The emphasis on AI tools in the interview process is critical. Candidates should be prepared to discuss their practical application of tools like Claude and Cursor in their design workflow. For operations-minded candidates, demonstrating an understanding of how design impacts operational efficiency and client success will be paramount.

🛠 Tools & Technology Stack

Primary Tools:

• Figma: The core tool for UI design, prototyping, and collaboration. Proficiency in creating and maintaining design systems within Figma is expected.

• AI Design & Development Tools:

  • Claude (Anthropic): For generating design ideas, drafting copy, exploring edge cases, and potentially assisting in prompt engineering for AI features.
  • Cursor: An AI-first code editor that can assist with design implementation discussions and understanding technical feasibility.
  • Claude Code: Specific AI capabilities for code-related tasks, likely used in collaboration with engineers.

• Prototyping Tools: Beyond Figma's built-in capabilities, familiarity with other advanced prototyping tools may be beneficial.

Analytics & Reporting:

• While not a primary tool for designers, understanding how product analytics tools (e.g., Amplitude, Mixpanel, or internal solutions) are used to track user behavior and measure the impact of designs is crucial. This informs design iterations and demonstrates ROI. CRM & Automation:

• While this role is not directly in CRM management, understanding how customer data and feedback loops (often managed via CRM systems) inform product design is beneficial. The company's own platform acts as a "system of record," highlighting the importance of robust data management and process automation.

📝 Enhancement Note: The explicit mention of Claude, Cursor, and Claude Code as integral to the design process is a significant differentiator. Candidates must be prepared to discuss their practical experience and strategic thinking around leveraging these AI tools for both design efficiency and product innovation. This aligns directly with operations roles focused on leveraging technology for productivity gains.

👥 Team Culture & Values

Operations Values:

• Act Like Owners: A strong sense of responsibility and initiative in tackling challenges and driving solutions, particularly concerning workflow efficiency and user adoption.

• Choose Growth Over Comfort: A commitment to continuous learning, embracing new technologies (like AI), and developing expertise in complex domains such as investment management.

• Communicate with Transparency: Open and honest communication, especially regarding design decisions, challenges, and feedback, crucial for effective cross-functional collaboration.

• Assume Positive Intent: A collaborative and supportive environment where team members trust each other, fostering psychological safety for innovation and problem-solving.

• Bias Toward Action: Proactive engagement and a willingness to experiment and iterate, rather than waiting for perfect conditions, leading to faster product development and operational improvements.

• Bring Solutions, Not Just Problems: A focus on constructive problem-solving, where challenges are presented alongside potential solutions or approaches.

Collaboration Style:

• Cross-Functional Integration: Designers are deeply embedded with Product Management and Engineering, working collaboratively to define requirements, build features, and ensure successful implementation.

• Design Critique Culture: A culture of constructive feedback and thoughtful critique is essential for raising design quality and ensuring alignment across the team.

• Knowledge Sharing: Encouragement of sharing learnings, best practices, and insights, particularly around AI tools, design systems, and FinTech workflows, to elevate the entire team.

📝 Enhancement Note: The company's stated values directly support an operations-centric mindset. "Act like owners," "Bias toward action," and "Bring solutions" are hallmarks of effective operations professionals. The emphasis on transparency and growth is crucial for roles that involve process improvement and change management.

⚡ Challenges & Growth Opportunities

Challenges:

• Designing for Complexity: Translating the intricate workflows and data requirements of investment management and trading into intuitive user experiences requires deep understanding and sophisticated design solutions.

• AI Integration Nuances: Effectively integrating AI capabilities (agentic behavior, transparency, confidence cues) into a high-stakes environment like trading demands careful consideration of user trust, control, and ethical implications.

• Balancing Design Systems with Innovation: Maintaining consistency through a design system while also driving innovation with new AI features requires strategic thinking and a robust design-to-code process.

• Domain Expertise Acquisition: Quickly gaining a deep understanding of financial services, investment management, and trading systems is crucial for designing effective solutions.

Learning & Development Opportunities:

• FinTech Domain Mastery: Deepen expertise in investment management, order management systems, and the broader financial services landscape.

• AI Design Leadership: Become a leader in designing AI-native product experiences and leveraging AI tools for design acceleration.

• Design System Evolution: Contribute to and influence the growth of a comprehensive design system and related AI prompt libraries.

• Mentorship and Strategic Influence: Opportunities to mentor other designers and significantly influence product strategy and roadmap decisions.

• Industry Exposure: Potential to engage with industry conferences and events related to FinTech and product design.

📝 Enhancement Note: The challenges presented are directly relevant to operations roles focused on efficiency and effectiveness in complex environments. The growth opportunities highlight the potential for individuals to become subject matter experts, leverage cutting-edge technology, and influence strategic direction, all of which are valuable for career progression in operations.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you designed a complex workflow for an enterprise application. What were the key challenges, and how did you ensure user adoption and efficiency?" (Focus on process, problem-solving, and impact)

• "How have you used AI tools like Claude or Cursor in your product design process? Provide a specific example of how it improved your workflow or the final product." (Highlight AI proficiency and practical application)

• "Imagine we want to introduce an AI-powered alert system for trade exceptions. What are the key design considerations you would prioritize, and how would you ensure user trust and control?" (Assess strategic thinking and AI design principles) Company & Culture Questions:

• "What excites you about Ridgeline's mission to modernize investment management software?" (Demonstrate research and alignment with company vision)

• "How do you embody Ridgeline's values of 'Act like owners' and 'Bias toward action' in your work?" (Provide specific examples of initiative and ownership)

• "Describe your experience mentoring junior designers or contributing to a design system. How do you approach raising design quality across an organization?" (Assess leadership and collaborative skills) Portfolio Presentation Strategy:

• Structure: Organize your portfolio around 2-3 strong case studies that best represent your skills for this role. Start with a compelling overview and then dive into each project.

• Process-Centric Narrative: For each case study, clearly outline the problem, your role, the research and discovery phase, your design process (ideation, wireframing, prototyping, testing), the final solution, and the measurable impact.

• AI Tool Integration: Explicitly call out where and how you used AI tools in your process. Discuss the benefits and any limitations encountered.

• Quantifiable Results: Present data and metrics whenever possible to demonstrate the success of your designs. If direct metrics are unavailable, use qualitative feedback or strong logical reasoning.

• Conciseness and Clarity: Be prepared to present your work efficiently, focusing on the most impactful aspects and answering questions directly. Practice your delivery to ensure confidence and clarity.

📝 Enhancement Note: Interview preparation should strongly emphasize practical experience with AI tools and the ability to articulate how design contributes to operational efficiency and client success in FinTech. Candidates should be ready to discuss their understanding of the investment management domain and Ridgeline's specific approach to leveraging AI.

📌 Application Steps

To apply for this Staff Product Designer position:

• Submit your application through the provided Greenhouse link: https://boards.greenhouse.io/ridgeline/jobs/7996278003?gh_jid=7996278003

• Tailor Your Resume: Highlight experience with complex enterprise software, data-rich workflows, AI tools (Claude, Cursor), and any FinTech or financial services background. Use keywords from the job description.

• Curate Your Portfolio: Select 2-3 strong case studies that best showcase your end-to-end design process, problem-solving skills for complex systems, and any experience with AI-driven design or workflows. Ensure clear articulation of your process and impact.

• Prepare Your Narrative: Practice presenting your portfolio, focusing on how your designs contribute to user efficiency, decision-making, and operational effectiveness. Be ready to discuss your use of AI tools and your understanding of the investment management domain.

• Research Ridgeline: Understand their mission, values, and the competitive landscape of investment management software. Prepare thoughtful questions for the interviewers about the product, team, and company culture.

⚠️ 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.