Sr. Product Designer

📍 Job Overview

Job Title: Sr. Product Designer

Company: Trinity Life Sciences

Location: East Norriton, PA; Princeton, NJ; NYC, NY; Waltham, MA (Hybrid/Remote Also Available)

Job Type: Full-Time

Category: Product Design / User Experience (UX) / User Interface (UI)

Date Posted: February 09, 2026

Experience Level: 7+ Years (with 3+ years in AI products)

🚀 Role Summary

• Design intelligent agents and AI-powered features to enhance workflows and efficiency within life sciences applications.

• Craft intuitive wireframes, prototypes, and polished interfaces for web and mobile platforms, simplifying complex life sciences workflows.

• Lead user research and usability testing to translate feedback into user-centric designs that drive client satisfaction and product adoption.

• Collaborate closely with product managers, engineers, data scientists, and UI/UX teammates to bring innovative product ideas to life.

• Develop and maintain design systems to ensure consistency and scalability across Trinity Life Sciences' product suite.

📝 Enhancement Note: While the job title is "Sr. Product Designer," the responsibilities and required experience, particularly the focus on AI integration and cross-functional collaboration with data science and engineering, suggest a role that bridges traditional product design with a strong understanding of technology product development and GTM strategies in the life sciences sector. The emphasis on turning complex data into elegant solutions and driving smarter decisions aligns with a GTM operations perspective.

📈 Primary Responsibilities

• AI-Driven Design: Design intelligent agents, AI-powered features, and generative AI applications to create smarter, more efficient workflows for pharmaceutical and biotech clients.

• User-Centric Product Development: Develop wireframes, prototypes, and high-fidelity interfaces for web and mobile platforms, focusing on simplifying complex life sciences workflows and data visualization.

• User Research & Validation: Lead usability testing sessions, gather user feedback, and iterate on designs to ensure products are intuitive, effective, and delightful for users.

• Cross-Functional Collaboration: Work closely with Product Management, Engineering, Data Science, and UI/UX teams throughout the product development lifecycle, from concept to launch and iteration.

• Design System Management: Maintain and evolve Trinity's design standards, ensuring visual and functional consistency across all product offerings and digital touchpoints.

• Seamless Integration: Leverage AI to integrate Trinity's products into a cohesive ecosystem, promoting data interoperability and unified user experiences.

• Trend Analysis & Innovation: Stay abreast of emerging design trends, best practices in healthcare technology, and AI advancements to ensure Trinity's products remain at the forefront of the industry.

• Impact Measurement: Contribute to defining and tracking key success metrics, such as improved usability scores, client satisfaction, and adoption rates of data products and AI-driven features.

📝 Enhancement Note: The core responsibilities highlight a deep involvement in the product lifecycle, from ideation to implementation and iteration. For operations professionals, this translates to understanding how design directly impacts user adoption, client satisfaction, and ultimately, the commercial success of Trinity's offerings. The emphasis on AI integration and data visualization points to a need for designers who can translate technical capabilities into tangible business value.

🎓 Skills & Qualifications

Education:

Experience:

• 7+ years of experience in product design for B2B SaaS Applications, with a specific focus on the life sciences industry.

• 3+ years of experience designing products specifically for the application of AI-enabled agents, workflows, or the use of Generative AI within products and knowledge hubs.

Required Skills:

• User-Centric Design: Demonstrated ability to create intuitive, user-friendly interfaces based on thorough user research and understanding of user needs.

• Complex Data Visualization: Expertise in designing effective visualizations for complex datasets, enabling users to derive insights and make informed decisions.

• Prototyping & Wireframing: Proficiency in creating wireframes, interactive prototypes, and high-fidelity mockups to communicate design concepts.

• Design Tools: Expertise in industry-standard design software such as Figma, Sketch, and the Adobe Creative Suite.

• UX/UI Principles: Solid understanding of fundamental UX/UI principles, interaction design, and information architecture.

• Accessibility Standards: Knowledge of and adherence to web and mobile accessibility standards (e.g., WCAG).

• Agile Collaboration: Experience working effectively within agile development environments and cross-functional teams.

• Communication & Presentation: Excellent verbal and written communication skills, with the ability to present design concepts clearly and persuasively to diverse stakeholders.

• Problem Solving: Strong analytical and problem-solving skills, with the ability to translate complex requirements into elegant design solutions.

Preferred Skills:

• Experience designing for SaaS or analytics platforms.

• Familiarity with HTML/CSS.

• Experience with AI-enabled agents, workflows, or Generative AI applications.

📝 Enhancement Note: The "Bonus points for" section indicates a strong preference for candidates with direct experience in SaaS analytics platforms and familiarity with front-end web technologies. For operations candidates, understanding how design impacts the user experience of analytical tools is crucial. The emphasis on AI and complex data visualization suggests a need for designers who can bridge the gap between technical capabilities and business outcomes.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Demonstrate User-Centricity: Showcase a portfolio that clearly illustrates a user-centered design process, highlighting how user research informed design decisions.

• Complex Data Visualization Examples: Include case studies featuring the design of complex data visualizations, explaining the challenges and the solutions implemented to make data digestible and actionable.

• AI/SaaS Product Design: Present examples of B2B SaaS products designed, preferably within the life sciences or a related analytical domain, with a strong emphasis on AI integration or AI-enabled features.

• Process Innovation: Detail your involvement in designing new features or products, ideally showing how your designs led to tangible improvements in user workflows, efficiency, or client satisfaction.

• Design System Contributions: If applicable, showcase contributions to or creation of design systems, demonstrating an understanding of scalability, consistency, and maintainability.

Process Documentation:

• Design Process Walkthrough: Be prepared to articulate your end-to-end design process, from initial problem definition and user research through to wireframing, prototyping, usability testing, and final handoff to engineering.

• Collaboration & Iteration: Explain how you collaborate with cross-functional teams (product managers, engineers, data scientists) and how you incorporate feedback and iterate on designs.

• Impact & Metrics: For each project in your portfolio, be ready to discuss the design's impact, supported by data or user feedback where possible, demonstrating how your design contributed to business objectives or user success.

📝 Enhancement Note: For a Sr. Product Designer role, especially in a tech-driven consultancy like Trinity, a portfolio is paramount. It needs to go beyond visual aesthetics to demonstrate strategic thinking, user empathy, and the ability to translate complex business needs into functional, user-friendly digital products. The emphasis on AI and data visualization requires specific examples of how these elements were integrated effectively.

💵 Compensation & Benefits

Salary Range:

• A reasonable estimate of the current salary range starts at a minimum of $145,000 USD per year.

• Note: Trinity's salary bands consider various factors including skill sets, market demand, experience level, qualifications, performance, tenure, geographic location, and business needs.

Benefits:

• Annual Discretionary Performance Bonus: Eligibility for an annual bonus based on performance.

• Comprehensive Health Coverage: (Assumed, standard for full-time roles in the US) Medical, dental, and vision insurance plans.

• Retirement Savings Plan: (Assumed) 401(k) plan with potential company match.

• Paid Time Off: (Assumed) Generous vacation, sick leave, and paid holidays.

• Professional Development: Opportunities for continuous learning, training, and skill enhancement relevant to design and AI.

• Inclusion & Engagement (I&E) Programs: Active participation in a culture that values belonging, connection, and collaboration.

Working Hours:

• Standard full-time hours, estimated at 40 hours per week.

• The role offers hybrid and remote flexibility, indicating potential for adaptable scheduling within team collaboration needs.

📝 Enhancement Note: The provided minimum salary of $145,000 USD is a strong indicator for a Senior Product Designer in the US life sciences/consulting sector, especially with the specialized AI and SaaS experience required. For operations professionals, understanding the total compensation package (base + bonus) and the flexibility offered by hybrid/remote work is key. Benefits are standard assumptions for a full-time role at a company of this size and industry.

🎯 Team & Company Context

🏢 Company Culture

Industry: Life Sciences Consulting, Digital & AI Solutions, Healthcare Technology. Trinity Life Sciences operates at the intersection of deep therapeutic expertise and advanced technology, providing strategic insights and digital solutions for pharmaceutical, biotech, and medtech companies.

Company Size: Trinity Life Sciences is a significant player, with a history of expansion to 1,300 professionals across 14 offices and five continents. This indicates a company with robust resources, established processes, and diverse opportunities, yet potentially with a culture that values both scale and individual contribution.

Founded: Over 30 years ago, established in Waltham, MA. This long history suggests stability, deep industry knowledge, and a proven track record.

Team Structure:

• Product Strategy Group: The role sits within this group, which is part of the broader Digital and AI Solutions team. This indicates a focus on developing cutting-edge products that leverage technology to solve client challenges.

• Cross-Functional Collaboration: The role emphasizes working "side-by-side with business leaders, engineers, and product managers," highlighting a highly collaborative and integrated team environment.

• Reporting: The Product Designer will work closely with product managers, suggesting a collaborative reporting structure rather than a strict hierarchy, focused on project delivery.

Methodology:

• Human + AI Fusion: Trinity powers its solutions by blending "deep therapeutic expertise and trusted human ingenuity with a purpose-built technology platform," emphasizing a hybrid approach to problem-solving.

• Data-Driven Decision Making: The company accelerates clarity and confidence through its offerings, implying a strong reliance on data analysis and insights to guide clients.

• Agile Development: Collaboration within agile environments and with engineering teams suggests an iterative approach to product development and design.

Company Website: www.trinitylifesciences.com

📝 Enhancement Note: Trinity's positioning as a leader in life sciences commercialization through AI and human intelligence is a key differentiator. For operations professionals, this means an environment focused on innovation, data-driven strategy, and the practical application of technology to solve complex business problems in a highly regulated industry. The company's size and global presence offer opportunities for diverse project exposure.

📈 Career & Growth Analysis

Operations Career Level: Sr. Product Designer. This level signifies a senior contributor role with significant autonomy, responsibility for complex projects, and the expectation to mentor or guide less experienced designers. It involves strategic input into product direction and a deep understanding of user needs within the life sciences domain.

Reporting Structure: Works closely with Product Managers and collaborates with Engineering, Data Science, and UI/UX teammates. While not explicitly stated, this suggests reporting within a product development or digital solutions team, with a focus on project-based collaboration rather than a rigid hierarchical structure.

Operations Impact: The role's impact is substantial: improving usability scores, increasing client satisfaction, driving adoption of data products and AI features, and ensuring consistent design across the product suite. This directly contributes to the commercial success and client retention for Trinity's digital offerings.

Growth Opportunities:

• Leadership in AI Design: Opportunity to become a thought leader in designing AI-powered products and intelligent agents within the life sciences sector.

• Design System Evolution: Play a key role in shaping and expanding Trinity's design system, influencing the overall user experience of the company's product portfolio.

• Cross-Functional Expertise: Deepen understanding of life sciences commercialization, data science, and engineering through close collaboration, fostering a holistic view of product development.

• Mentorship: Potential to mentor junior designers and contribute to building a strong design culture within the organization.

• Strategic Product Input: Contribute to product strategy by identifying user needs and design opportunities that align with business objectives and technological advancements.

📝 Enhancement Note: The "Sr." designation implies a significant level of autonomy and strategic involvement. For operations professionals, this role offers a pathway to influence product strategy and directly impact client adoption and satisfaction, which are critical GTM metrics. The growth path is clearly linked to specialization in AI/SaaS design within a niche industry.

🌐 Work Environment

Office Type: Hybrid. The role is available in multiple locations (East Norriton, PA; Princeton, NJ; NYC, NY; Waltham, MA) with hybrid and remote options, indicating a modern work environment that balances in-person collaboration with flexibility.

Office Location(s): East Norriton, PA; Princeton, NJ; New York, NY; Waltham, MA. These are established business hubs, suggesting access to talent and resources.

Workspace Context:

• Collaborative Hubs: The hybrid model likely involves designated office days for team meetings, workshops, and fostering stronger interpersonal connections.

• Technology-Rich Environment: Access to modern design tools (Figma, Sketch, Adobe Creative Suite) and collaboration platforms is expected.

• Cross-Pollination: Opportunities to interact with diverse teams across product management, engineering, and data science, facilitating knowledge sharing and innovation.

Work Schedule: Standard full-time, with flexibility offered through hybrid and remote work arrangements. This allows for effective management of design sprints and iterative processes while accommodating personal needs.

📝 Enhancement Note: The hybrid/remote flexibility is a significant draw. For operations professionals, understanding how team members leverage office time for collaboration versus remote time for focused work is key to gauging team dynamics and productivity. The availability across multiple key East Coast locations also offers geographic flexibility.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: Likely a review of resume and portfolio by a recruiter or hiring manager to assess basic qualifications and alignment with role requirements.

• Portfolio Presentation & Discussion: A dedicated session where the candidate presents selected projects from their portfolio, discussing their design process, problem-solving approach, and impact. This is a critical stage for demonstrating expertise.

• Technical/Design Challenge: Potentially a design exercise or case study, either take-home or live, to assess practical design skills, problem-solving abilities, and approach to a specific challenge (e.g., designing an AI feature for a life sciences workflow).

• Cross-Functional Interviews: Meetings with Product Managers, Engineering Leads, Data Scientists, and possibly other Designers to evaluate collaboration skills, technical understanding, and cultural fit.

• Final Interview: Typically with senior leadership or the hiring manager's manager to finalize the decision.

Portfolio Review Tips:

• Curate Strategically: Select 3-4 projects that best showcase your experience in B2B SaaS, life sciences, complex data visualization, and AI/Generative AI design.

• Tell a Story: For each project, clearly articulate the problem, your role, the design process, key decisions made, challenges overcome, and the measurable impact or outcome.

• Highlight AI & Data: Ensure your portfolio prominently features examples of your work with AI-enabled features or complex data visualization. Explain how you approached these specific challenges.

• Showcase Process: Detail your research methods, ideation techniques, prototyping tools, and how you incorporated user feedback.

• Quantify Impact: Wherever possible, use metrics or client feedback to demonstrate the success of your designs.

Challenge Preparation:

• Understand the Domain: Familiarize yourself with common challenges and workflows in life sciences commercialization, drug development, and market access.

• AI Application Focus: Be prepared to think about how AI can solve problems in this domain, focusing on user experience improvements.

• Structure Your Approach: If given a challenge, outline your steps clearly: understanding the problem, identifying users, defining goals, exploring solutions, and presenting recommendations.

• Design System Thinking: Consider how your proposed solutions would fit within an existing or a newly proposed design system.

📝 Enhancement Note: The emphasis on a portfolio review and potential design challenge highlights the practical, skill-based nature of this role. Candidates should prepare to deeply articulate their design decisions and their impact, especially concerning AI and data in the life sciences context.

🛠 Tools & Technology Stack

Primary Design Tools:

• Figma: Expected to be a core tool for collaborative design, prototyping, and handoff. Proficiency in its advanced features is likely.

• Sketch: May be used for specific design tasks or legacy projects.

• Adobe Creative Suite: Tools like Photoshop and Illustrator may be used for asset creation or image manipulation.

Prototyping & Collaboration:

• InVision / Marvel / Axure: (Assumed) Tools for creating interactive prototypes and facilitating design reviews.

• Jira / Confluence: (Assumed) Standard tools for agile project management and documentation, used for tracking design tasks and requirements.

• Slack / Microsoft Teams: (Assumed) For day-to-day team communication and cross-functional collaboration.

Data & AI Context (Understanding, not necessarily direct use):

• AI/ML Platforms: Familiarity with how AI models are integrated into user interfaces.

• Data Visualization Libraries: Understanding of concepts behind libraries like D3.js (though direct coding may not be required).

• CRM & Analytics Platforms: (Assumed) Understanding of how design impacts user experience within platforms like Salesforce, Tableau, or similar business intelligence tools, as Trinity's clients would use these.

📝 Enhancement Note: Proficiency in Figma is almost a given for modern design roles. For a senior position, demonstrating familiarity with the broader ecosystem of collaboration and project management tools is important, as is an understanding of how design integrates with data science and AI development processes.

👥 Team Culture & Values

Operations Values:

• User-Centricity: A core value, driving all design decisions to ensure products meet user needs and deliver exceptional experiences.

• Innovation & AI Integration: Embracing new technologies, particularly AI, to create cutting-edge solutions that provide a competitive advantage for clients.

• Collaboration & Teamwork: Fostering a supportive environment where cross-functional teams work together seamlessly to achieve shared goals.

• Data-Driven Improvement: Using data and user feedback to continuously refine and enhance product design and functionality.

• Excellence & Quality: A commitment to delivering high-quality, impactful design work that meets rigorous industry standards.

• Curiosity & Continuous Learning: Encouraging team members to explore new trends, technologies, and methodologies to stay ahead in a dynamic field.

Collaboration Style:

• Iterative & Agile: Working in iterative cycles, with frequent feedback loops between design, product, and engineering.

• Transparent Communication: Openly sharing ideas, progress, and challenges across teams.

• Influence & Partnership: Building trust and influencing stakeholders through active listening, clear communication, and demonstrating value.

• Shared Ownership: Encouraging a sense of collective responsibility for product success, where designers contribute beyond just the visual elements.

📝 Enhancement Note: Trinity's emphasis on "Inclusion & Engagement (I&E)" suggests a culture that prioritizes belonging, connection, and shared purpose, moving beyond traditional DEI frameworks. For operations professionals, this translates to an environment where diverse perspectives are valued, and collaboration is key to collective success.

⚡ Challenges & Growth Opportunities

Challenges:

• Bridging Complex Data and User Needs: Translating highly complex life sciences data and AI capabilities into intuitive and actionable user interfaces.

• Rapid Technological Evolution: Keeping pace with advancements in AI, machine learning, and design technologies to ensure Trinity's products remain innovative.

• Balancing Business Needs with User Experience: Ensuring that design decisions align with commercial objectives while prioritizing user satisfaction and usability.

• Cross-Functional Alignment: Effectively communicating design vision and rationale to diverse stakeholders (technical, business, client-facing) who may have different priorities.

• Designing for a Niche Industry: Deeply understanding the specific workflows, regulations, and client needs within the life sciences sector.

Learning & Development Opportunities:

• Specialization in AI/ML Design: Deepen expertise in designing for AI-powered products, including intelligent agents and generative AI applications.

• Life Sciences Domain Expertise: Gain in-depth knowledge of the pharmaceutical, biotech, and medtech industries, enhancing strategic product development capabilities.

• Design System Leadership: Opportunity to contribute significantly to or lead the evolution of a comprehensive design system.

• Cross-Disciplinary Skill Building: Learn from and collaborate with data scientists, engineers, and product strategists to broaden technical and business acumen.

• Industry Conferences & Training: Potential to attend relevant design, AI, and life sciences technology conferences for continuous learning and networking.

📝 Enhancement Note: The challenges presented are typical for senior roles in innovative tech consulting firms. The growth opportunities are directly tied to specialization in high-demand areas like AI design and specific industry knowledge, offering a clear career trajectory.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you designed an AI-powered feature. What was the problem, your approach, and the outcome?" (Focus on your process, the AI integration, and measurable impact).

• "How would you approach designing a new dashboard for visualizing complex clinical trial data for pharmaceutical executives?" (Demonstrate your understanding of data visualization principles, user needs, and iterative design).

• "Walk us through your process for designing a new workflow automation tool within a SaaS application." (Highlight your user research, wireframing, prototyping, and collaboration skills).

Company & Culture Questions:

• "What interests you about Trinity Life Sciences and the life sciences industry?" (Research Trinity's mission, recent work, and industry trends).

• "How do you approach collaboration with engineers and product managers who may have different priorities?" (Emphasize your communication, negotiation, and influence skills).

• "Describe a time you had to balance conflicting stakeholder feedback on a design. How did you resolve it?" (Show your ability to make data-driven decisions and manage expectations).

Portfolio Presentation Strategy:

• Select High-Impact Projects: Choose 2-3 projects that best represent your skills in AI design, complex data visualization, and B2B

SaaS for life sciences.

• Structure Your Narrative: For each project, follow a clear story:

  1. The Challenge: What was the business problem or user need?
  2. Your Role: What specific contributions did you make?
  3. The Process: How did you conduct research, ideate, design, and test?
  4. Key Decisions: What were critical design choices and why?
  5. The Solution: Show the final design (wireframes, mockups, prototypes).
  6. The Impact: What were the results? (Metrics, user feedback, business value).

• Be Ready for Deep Dives: Expect detailed questions about your design rationale, technical constraints you considered, and how you measured success.

• Showcase AI & Data: Explicitly call out how AI was utilized or how data was visualized in your presented work.

📝 Enhancement Note: Interview preparation should focus on demonstrating not just design skill, but strategic thinking, problem-solving capabilities, and the ability to integrate complex technical concepts (like AI) into user-friendly solutions within the specific context of life sciences.

📌 Application Steps

To apply for this Sr. Product Designer position:

• Submit your application through the provided Workday link: https://trinitylifesciences.wd108.myworkdayjobs.com/Trinity/job/East-Norriton-PA/Sr-Product-Designer_JR100226

• Portfolio Customization: Tailor your portfolio to highlight your most relevant experience in B2B SaaS, life sciences, complex data visualization, and AI-driven product design. Ensure each project clearly articulates the problem, your process, and the impact.

• Resume Optimization: Update your resume to emphasize keywords related to Product Design, UX/UI, AI, SaaS, Life Sciences, Figma, Sketch, Data Visualization, and Agile methodologies. Quantify achievements wherever possible.

• Interview Preparation: Practice articulating your design process, project case studies, and responses to common behavioral and situational interview questions. Be ready to present your portfolio and potentially complete a design challenge.

• Company Research: Thoroughly research Trinity Life Sciences, its mission, its role in the life sciences industry, and its approach to digital and AI solutions. Understand their values and culture to align your responses effectively.

⚠️ 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.