Senior Product Designer, AI

📍 Job Overview

Job Title: Senior Product Designer, AI

Company: ServiceLink

Location: Moon Township, PA & Plano, TX (Hybrid)

Job Type: FULL_TIME

Category: Product Design / AI Product Design

Date Posted: 2026-09-04

Experience Level: 4+ years (2+ years in AI/Automation)

Remote Status: Hybrid (Requires on-site presence several days per week)

🚀 Role Summary

• Lead the design of cutting-edge AI-powered product experiences, focusing on automating and enhancing complex mortgage workflows.

• Analyze business processes and customer journeys to identify strategic opportunities for AI and automation integration.

• Drive alignment across product, engineering, data science, and business stakeholders to translate ambiguous problems into actionable product roadmaps.

• Design sophisticated intelligent workflows, incorporating critical elements like human oversight, agent handoff, exception handling, feedback loops, and recovery mechanisms.

• Prototype advanced agentic experiences, seamlessly blending Large Language Models (LLMs), Robotic Process Automation (RPA), and predictive systems into intuitive and explainable interfaces.

• Develop user interactions and interfaces through detailed flows, wireframes, mockups, and high-fidelity visuals, ensuring a user-centric design approach.

📝 Enhancement Note: This role is specifically focused on the intersection of AI and product design within the mortgage industry. The emphasis on "agentic workflows" and "human oversight" suggests a need for designers who can conceptualize and build systems where AI agents perform tasks with human supervision and intervention points. This is a critical distinction from typical UI/UX roles and requires a deeper understanding of AI capabilities and limitations.

📈 Primary Responsibilities

• Spearhead the design strategy and execution for AI-powered product initiatives, from initial opportunity discovery through successful delivery and iteration.

• Conduct in-depth analysis of existing business workflows and customer journeys to pinpoint high-value opportunities for AI and automation solutions.

• Facilitate collaborative sessions with product managers, engineers, data scientists, and business leaders to ensure clear product direction and stakeholder alignment.

• Architect intelligent workflows that meticulously define human oversight, agent handoff protocols, robust exception handling, comprehensive feedback loops, and effective recovery paths.

• Design and prototype agentic experiences that integrate LLMs, RPA, and predictive systems, aiming for seamless, explainable, and trustworthy user interactions.

• Create detailed user interaction flows, wireframes, interactive prototypes, and high-fidelity visual designs to effectively communicate design concepts.

• Define and refine conversational interaction patterns across various interfaces, including workflow UIs, chat, SMS, and voice channels, ensuring consistency and usability.

• Develop comprehensive deliverables such as user flows, wireframes, prototypes, high-fidelity designs, process diagrams, customer journey maps, and executive-level presentations that tell a compelling story.

• Leverage data, user research insights, and defined business goals to rigorously evaluate design decisions and drive continuous product improvement.

• Utilize advanced AI tooling and personal AI skills to automate and accelerate various aspects of the design and product development lifecycle, enhancing efficiency.

📝 Enhancement Note: The responsibilities highlight a blend of strategic thinking, user-centric design, and technical understanding of AI. The emphasis on "prototype agentic experiences" and "blend LLMs, RPA, and predictive systems" points towards a need for a designer who can visualize and articulate how these complex technologies will manifest in a user interface and workflow.

🎓 Skills & Qualifications

Education: While specific educational requirements are not detailed, a Bachelor's degree in Design, Human-Computer Interaction, Computer Science, or a related field is typically expected for a Senior Product Designer role. A strong portfolio can often substitute for formal education.

Experience: 4+ years of progressive product design experience, with a minimum of 2 years specifically focused on designing AI-powered products, automation experiences, conversational interfaces, or intelligent workflows.

Required Skills:

• Product Design Leadership: Proven ability to lead design initiatives from concept to completion for complex products.

• AI Product Design Expertise: Minimum 2 years of hands-on experience designing AI-driven products, automation solutions, or intelligent systems.

• Systems Thinking: Ability to deeply understand and model complex workflows, dependencies, and potential edge cases within intricate systems.

• User Experience (UX) Design: Comprehensive skills in user research, information architecture, interaction design, and user testing.

• Prototyping & Wireframing: Proficiency in creating detailed flows, wireframes, mockups, and interactive prototypes using industry-standard tools.

• Visual Design: Strong aesthetic sense and the ability to create high-fidelity, visually appealing interfaces.

• Conversational Design: Experience or strong interest in designing natural language interactions, including clarification, confirmation, escalation, and error recovery flows.

• Facilitation & Stakeholder Management: Excellent skills in leading cross-functional workshops, gathering requirements, and aligning diverse stakeholder groups (Product, Engineering, Data Science, Business).

• Data-Driven Decision Making: Ability to leverage qualitative user insights and quantitative data to inform and validate design decisions.

• AI Fluency & Curiosity: A strong understanding of and keen interest in emerging AI technologies such as LLMs, automation, agentic systems, and human-in-the-loop patterns.

• Modern AI Tooling Interest: Hands-on interest in utilizing AI tools (e.g., Claude Code, GitHub Copilot, Figma Make) to enhance design and development workflows.

• Visual Taste & Interaction Craft: A keen eye for modern visual design trends and a refined ability to craft intuitive and engaging user interactions.

• Ambiguity Tolerance: Comfort and effectiveness in navigating fast-changing product landscapes and emerging technology areas.

• Continuous Learning: Eagerness to learn, experiment, and adapt design processes with AI advancements.

Preferred Skills:

• Experience within the mortgage industry or other highly regulated financial services sectors.

• Familiarity with RPA technologies and their integration into user workflows.

• Experience with journey mapping and process diagramming tools.

• Proficiency in specific design and prototyping software beyond the basics (e.g., advanced Figma plugins, specialized AI design tools).

• Experience in defining and implementing design systems for complex applications.

📝 Enhancement Note: The requirement for "2+ years designing AI-powered products, automation experiences, conversational interfaces, or intelligent workflows" is a critical filter. Candidates must demonstrate tangible experience in these specific areas, not just general product design. The emphasis on using AI tools within the design process itself is also a key differentiator.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• AI Product Design Case Studies: Showcase at least 1-2 detailed case studies demonstrating your experience designing AI-powered products, automation workflows, or intelligent agentic systems. Clearly articulate the problem, your design process, the AI/automation components involved, your solutions, and the impact achieved.

• Complex Workflow Design: Include examples that illustrate your ability to analyze and design intricate business workflows, highlighting how you addressed dependencies, edge cases, and human-AI interaction points.

• Systemic Problem Solving: Present projects that demonstrate strong systems thinking, where you tackled complex problems by understanding the broader ecosystem and interconnectedness of components.

• User-Centric AI Integration: Highlight designs where AI was integrated to solve a specific user problem or enhance user experience, rather than just for technology's sake. Focus on explainability and trustworthiness.

• Conversational Interface Design: If applicable, include examples of conversational flows, chat interfaces, or voice interactions designed for complex tasks or decision support.

• Deliverables Showcase: Include a range of deliverables such as user flows, wireframes, interactive prototypes, high-fidelity mockups, and potentially process diagrams or journey maps that visualize complex processes.

• Impact & Metrics: Quantify the impact of your designs whenever possible, using metrics related to efficiency gains, user adoption, error reduction, or improved decision-making.

Process Documentation:

• Workflow Analysis & Optimization: Demonstrate how you analyze existing business processes and identify areas for AI/automation intervention and subsequent optimization.

• Design Process with AI: Illustrate your design process, specifically how you incorporate AI capabilities, tools, and principles at various stages, from ideation to prototyping.

• Cross-Functional Collaboration Documentation: Provide examples or descriptions of how you document and communicate design decisions and rationale to engineering, product, and data science teams.

• Iteration & Feedback Loops: Show evidence of how you iterate on designs based on user feedback, data insights, and performance metrics, especially in AI-driven contexts.

📝 Enhancement Note: The portfolio requirement is heavily weighted towards AI and complex systems. Candidates need to go beyond standard UI/UX case studies and demonstrate a deep understanding of how AI and automation can be effectively designed into user-facing products, particularly within business workflows. The ability to articulate the "why" behind AI integration and its impact is crucial.

💵 Compensation & Benefits

Salary Range: $105,000 - $145,000 USD per year.

Explanation of Range: This salary range is based on the provided data and reflects typical compensation for a Senior Product Designer role with specialized AI experience in the US market. Factors influencing placement within this range include the depth of AI product design experience, demonstrated success with complex systems, and the candidate's ability to articulate design impact. The range aligns with industry benchmarks for senior-level design roles in technology, particularly those involving emerging technologies like AI.

Benefits:

• Comprehensive Health Insurance: Medical, dental, and vision coverage.

• Retirement Savings Plan: Likely a 401(k) with potential company match.

• Paid Time Off (PTO): Including vacation, sick leave, and holidays.

• Life and Disability Insurance: Standard employer-provided coverage.

• Professional Development: Opportunities for training, conferences, and skill enhancement, particularly in AI and design.

• Hybrid Work Flexibility: Ability to work remotely several days a week while maintaining an office presence for collaboration.

• Employee Assistance Program (EAP): Support services for personal and professional well-being.

Working Hours: The standard working hours are typically 40 hours per week. While the role is hybrid, flexibility may be offered to accommodate work-life balance, but core hours will likely be expected for team collaboration and meetings.

📝 Enhancement Note: The salary range provided is specific and competitive for a senior-level AI product design role in the US. The benefits listed are standard for a company of ServiceLink's size and industry, with a particular emphasis on professional development opportunities relevant to AI and design.

🎯 Team & Company Context

🏢 Company Culture

Industry: Mortgage Technology / Financial Services. ServiceLink is a leader in the mortgage industry, providing a range of technology and services that support the mortgage lifecycle. This means the company operates within a highly regulated and data-intensive environment.

Company Size: ServiceLink is a substantial organization. While exact employee numbers aren't provided in the raw data, their presence across multiple locations and leadership in their sector suggests a company with hundreds or thousands of employees. This implies established processes, potentially larger teams, and a structured environment.

Founded: ServiceLink has a history in the mortgage services sector, indicating a stable company with established expertise, but also potentially a culture that is adapting to rapid technological change, particularly AI.

Team Structure:

• AI Product Design Team: This role likely sits within a product design or product management team that is focused on AI initiatives. It's expected to be a collaborative environment with other designers, product managers, and potentially AI/ML engineers.

• Cross-Functional Collaboration: The role explicitly requires close collaboration with Product, Engineering, Data Science, and Business stakeholders. This indicates a matrixed or project-based team structure where designers work closely with various departments to bring AI products to life.

• Reporting: The Senior Product Designer will likely report to a Design Lead, Head of Product, or a Director overseeing AI product development.

Methodology:

• Data-Driven Product Development: The company emphasizes using data and user insights to guide design and product decisions, a core tenet of modern product development.

• Agile/Iterative Processes: Given the fast-moving nature of AI and product development, it's highly probable that Agile or similar iterative methodologies are employed, allowing for rapid prototyping and continuous improvement.

• Human-AI Collaboration Focus: The emphasis on designing "intelligent, agent-driven experiences" suggests a methodology that prioritizes understanding and optimizing the interaction between humans and AI systems.

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

📝 Enhancement Note: Operating in the mortgage industry means that precision, compliance, and data security are paramount. AI implementations must be robust, explainable, and adhere to strict regulatory standards. This context is vital for a product designer to understand.

📈 Career & Growth Analysis

Operations Career Level: This is a Senior-level Product Designer role. It signifies a position requiring significant autonomy, strategic input, and the ability to mentor junior designers. The focus on AI and complex workflows suggests a specialized track within product design, moving beyond general UI/UX to encompass the strategic implications of intelligent systems.

Reporting Structure: The Senior Product Designer will likely report to a Design Manager, Director of Product Design, or a Head of Product/AI. They will be expected to collaborate closely with Product Managers, Engineering Leads, and Data Scientists, acting as a key design voice within these cross-functional teams.

Operations Impact: The role directly impacts the efficiency and effectiveness of mortgage workflows through AI-driven automation and intelligent decision support. This has a significant downstream effect on ServiceLink's operational costs, client satisfaction, and competitive positioning in the market. By designing intuitive and trustworthy AI experiences, the designer can drive adoption of new technologies, leading to measurable improvements in productivity and service delivery.

Growth Opportunities:

• Specialization in AI Product Design: Deepen expertise in designing for LLMs, agentic systems, and other advanced AI applications, becoming a go-to expert within ServiceLink.

• Leadership & Mentorship: Opportunity to mentor junior designers, lead design critiques, and potentially take on team lead responsibilities for AI product initiatives.

• Strategic Product Influence: Contribute to the strategic direction of AI product development, influencing roadmaps and prioritizing design efforts for maximum business impact.

• Cross-Functional Expertise: Gain in-depth knowledge of mortgage operations, data science, and engineering processes, broadening overall understanding of the business.

• Industry Recognition: Potential to contribute to thought leadership in AI product design through internal presentations or external forums, building personal brand and industry standing.

📝 Enhancement Note: The "Senior" title combined with the AI specialization positions this role for significant growth. The company's investment in AI suggests a commitment to developing talent in this area, offering a clear path for designers to become leaders in a cutting-edge field.

🌐 Work Environment

Office Type: Hybrid. This role requires working from ServiceLink offices in Moon Township, PA, or Plano, TX, several days per week, with the remaining days being remote. This model is designed to balance the benefits of in-person collaboration with the flexibility of remote work.

Office Location(s):

• Moon Township, PA: 1355 Cherrington Parkway, Moon Township, PA 15108 (near Pittsburgh)

• Plano, TX: Specific address not provided, but located in Plano, TX (Dallas-Fort Worth metroplex).

Workspace Context:

• Collaborative Spaces: Offices are likely equipped with meeting rooms, whiteboarding facilities, and common areas conducive to brainstorming and cross-functional team work.

• Technology Access: Employees will have access to company-provided hardware, software, and potentially specialized AI development or testing environments.

• Team Interaction: The hybrid model necessitates intentional efforts for team interaction. Expect scheduled team syncs, design reviews, and project kick-offs to occur in the office.

Work Schedule: A standard 40-hour work week is expected, with the flexibility to structure remote workdays around core in-office collaboration days. Adherence to business hours for meetings and responsiveness is crucial.

📝 Enhancement Note: The hybrid nature of this role is a key aspect. Candidates must be comfortable commuting to one of the specified offices regularly. The company's investment in physical office spaces suggests a value placed on in-person collaboration for complex problem-solving and team cohesion, especially for AI initiatives which often require intensive brainstorming.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A recruiter or hiring manager will review applications and portfolios to assess basic qualifications and experience alignment.

• Portfolio Presentation & Discussion: Candidates will likely be asked to present 1-2 key case studies from their portfolio, focusing on AI product design and complex workflow challenges. This stage will involve in-depth discussion about their design process, decision-making, and impact.

• Cross-Functional Interviews: Interviews with Product Managers, Engineering Leads, and Data Scientists to evaluate collaboration skills, technical understanding, and ability to translate AI concepts into user-friendly designs.

• Design Exercise/Challenge: A practical design challenge may be given, either take-home or timed, to assess problem-solving skills, systems thinking, and AI-specific design considerations.

• Hiring Manager/Leadership Interview: Final interview with the hiring manager or a senior leader to assess cultural fit, strategic thinking, and overall suitability for the senior role.

Portfolio Review Tips:

• Focus on AI & Automation: Prioritize case studies that showcase your experience with AI-powered products, intelligent workflows, or automation. Clearly articulate the AI components and their role in the solution.

• Demonstrate Systems Thinking: For each case study, explain how you approached complex systems, identified dependencies, and designed for edge cases and human oversight.

• Quantify Impact: Wherever possible, present metrics that demonstrate the success of your designs (e.g., efficiency gains, user adoption, reduction in errors, improved decision accuracy).

• Showcase Your Process: Detail your design process, emphasizing how you leverage user research, data, and stakeholder input, especially when working with novel AI technologies.

• Explain AI Integration: Clearly articulate why AI was the right solution for the problem and how you ensured the AI system was trustworthy, explainable, and aligned with user needs.

• Prepare for Presentation: Be ready to walk through your portfolio with enthusiasm and clarity, highlighting your contributions and design rationale. Practice your storytelling.

Challenge Preparation:

• Understand AI Capabilities: Brush up on current LLM capabilities, RPA concepts, and common patterns in agentic workflows and human-in-the-loop systems.

• Practice Problem Decomposition: Be prepared to break down a complex problem into smaller, manageable parts, identify key user needs, and conceptualize AI-driven solutions.

• Articulate Design Rationale: For any proposed solution, be ready to explain the design choices, trade-offs, and how they align with business objectives and user experience principles.

• Consider Hybrid Workflows: Practice designing for scenarios that involve both automated AI actions and human intervention or oversight.

📝 Enhancement Note: The portfolio review is the most critical component for this role. Candidates must be able to visually and verbally articulate their expertise in AI product design, demonstrating not just UI skills but strategic thinking about how AI impacts workflows and user behavior.

🛠 Tools & Technology Stack

Primary Tools:

• Design & Prototyping: Figma (highly probable, given industry trends and mentions of Figma Make), Sketch, Adobe Creative Suite.

• AI Tooling Interest: Claude Code, GitHub Copilot, Figma Make, or similar AI-assisted design/coding tools.

• Collaboration Platforms: Slack, Microsoft Teams for communication.

• Project Management: Jira, Asana, Trello, or similar for task tracking and workflow management.

Analytics & Reporting:

• User Analytics: Google Analytics, Amplitude, Mixpanel, or similar for tracking user behavior and feature adoption.

• Data Visualization: Tableau, Power BI, or internal dashboards for analyzing product performance and user insights.

CRM & Automation:

• CRM: While not directly managed by this role, understanding CRM systems (e.g., Salesforce) is beneficial as AI solutions often integrate with or impact CRM data.

• Automation Tools: Familiarity with RPA concepts and tools (e.g., UiPath, Blue Prism, Automation Anywhere) is a plus, as the role involves designing workflows that may leverage these.

• LLMs & AI Platforms: Experience or familiarity with APIs and platforms for integrating LLMs (e.g., OpenAI, Anthropic) and other AI models into product experiences.

📝 Enhancement Note: The explicit mention of interest in tools like "Claude Code, GitHub Copilot, Figma Make" indicates that the company is actively exploring and integrating AI into their design and development processes. Candidates with hands-on experience or a strong demonstrated interest in these tools will have a significant advantage.

👥 Team Culture & Values

Operations Values:

• Innovation & AI Adoption: A culture that embraces technological advancement, particularly in AI, to drive efficiency and create new opportunities.

• Data-Driven Decision Making: Valuing evidence-based approaches where design decisions are informed by user data, analytics, and business outcomes.

• Collaboration & Alignment: Strong emphasis on teamwork and effective communication to ensure all stakeholders are aligned on product goals and design strategies.

• Customer Centricity: A commitment to understanding and serving the needs of mortgage industry clients and end-users through thoughtful design.

• Problem Solving: A proactive and analytical approach to identifying and solving complex challenges, especially those related to workflow automation and intelligent systems.

• Continuous Improvement: A mindset geared towards iterating, learning, and refining products and processes based on feedback and performance.

Collaboration Style:

• Cross-Functional Partnership: Expect a highly collaborative environment where designers work hand-in-hand with product managers, engineers, and data scientists.

• Open Communication: Encouragement of open dialogue, feedback exchange, and transparent sharing of ideas and challenges.

• Iterative Design Culture: A willingness to prototype, test, and iterate rapidly, embracing feedback as a crucial part of the development cycle.

• Knowledge Sharing: Active participation in sharing insights, best practices, and learnings, particularly around AI and design methodologies.

📝 Enhancement Note: The emphasis on AI and automation suggests a forward-thinking culture that is willing to experiment and adapt. However, given the industry, there will also be a strong emphasis on reliability, security, and compliance in any new technology implementation.

⚡ Challenges & Growth Opportunities

Challenges:

• Designing Trustworthy AI: Creating AI experiences that users trust and find reliable, especially in a regulated industry like mortgages, can be challenging. This involves designing for transparency, explainability, and robustness against errors.

• Navigating Ambiguity: Working with nascent AI technologies means dealing with inherent ambiguity in capabilities, best practices, and future directions. Adapting designs as the technology evolves is key.

• Balancing Automation and Human Oversight: Determining the optimal points for AI intervention versus human control in complex workflows requires careful analysis and user-centered design.

• Cross-Functional Alignment on AI: Ensuring that Product, Engineering, and Data Science teams have a shared understanding of AI capabilities and design goals can be complex.

• Integrating AI with Existing Systems: Designing AI solutions that seamlessly integrate with legacy systems or complex existing workflows within the mortgage industry.

Learning & Development Opportunities:

• Deep Dive into AI/ML: Gain hands-on experience with LLMs, agentic systems, and other AI technologies, expanding technical design skills.

• Mortgage Industry Expertise: Develop a deep understanding of mortgage processes, regulations, and the unique challenges faced by industry professionals.

• Advanced Design Methodologies: Explore and implement cutting-edge design techniques for AI products, human-AI interaction, and complex workflow automation.

• Leadership Development: Opportunities to lead design initiatives, mentor junior team members, and influence product strategy.

• Industry Conferences & Training: Potential to attend AI, design, or FinTech conferences and pursue relevant certifications.

📝 Enhancement Note: The challenges presented are inherent to working with AI in a complex industry. The growth opportunities directly address these challenges, positioning the role as a significant development platform for ambitious designers.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you led the design of an AI-powered product or an intelligent workflow. What was the problem, your approach, the AI components involved, and the outcome?" (Focus on process, AI integration, and impact.)

• "How would you approach designing a system where an AI agent performs tasks, but human oversight and handoff are critical? What are the key design considerations for such a workflow?" (Assess understanding of agentic systems and human-in-the-loop design.)

• "Imagine you need to integrate an LLM into a customer-facing workflow to provide automated assistance. How would you ensure the LLM's responses are accurate, trustworthy, and align with our brand voice?" (Test AI fluency, risk assessment, and user-centricity.)

• "How do you use data and user insights to inform your design decisions, especially when dealing with novel AI technologies where user behavior might be unpredictable?" (Evaluate data-driven approach and adaptability.) Company & Culture Questions:

• "What interests you about ServiceLink and our position in the mortgage industry, specifically regarding AI adoption?" (Show research and genuine interest.)

• "How do you see yourself contributing to a hybrid work environment and fostering collaboration with your team?" (Assess adaptability to work model and team dynamics.)

• "Describe a situation where you had to align diverse stakeholders (e.g., engineering, business, data science) on a complex product direction. How did you achieve consensus?" (Evaluate facilitation and communication skills.) Portfolio Presentation Strategy:

• Structure Your Narrative: For each case study, clearly define the problem, your role, the constraints, your design process, the AI/automation solutions, your specific contributions, and the measurable results.

• Highlight AI & Systems Thinking: Emphasize the AI/automation aspects of your projects and how you applied systems thinking to solve complex workflow challenges.

• Showcase Deliverables: Be prepared to present wireframes, user flows, prototypes, and high-fidelity mockups, explaining the rationale behind each design decision.

• Be Ready for Deep Dives: Expect detailed questions about your technical understanding of AI, your design choices, and how you measured success.

• Connect to ServiceLink: Where possible, draw parallels between your past experiences and the challenges ServiceLink aims to solve with AI in the mortgage industry.

Challenge Preparation:

• AI Use Cases: Familiarize yourself with common AI applications in enterprise software and workflow automation.

• Human-AI Interaction Patterns: Study established patterns for error handling, clarification, escalation, and feedback loops in AI systems.

• Problem Decomposition: Practice breaking down business problems into user needs and potential AI-driven solutions.

• Rapid Ideation: Be ready to brainstorm multiple design concepts quickly and articulate their pros and cons.

📝 Enhancement Note: The interview process will heavily scrutinize the candidate's practical experience with AI product design and their ability to think systematically about complex workflows. Demonstrating an understanding of the mortgage industry's unique requirements will be a significant advantage.

📌 Application Steps

To apply for this Senior Product Designer, AI position:

• Submit your application through the provided link on the ServiceLink careers portal.

• Portfolio Customization: Tailor your portfolio to prominently feature 1-2 AI product design or complex workflow automation case studies. Ensure these clearly demonstrate your experience with systems thinking, AI integration, and impact.

• Resume Optimization: Update your resume to highlight your 4+ years of product design experience, specifically mentioning the 2+ years focused on AI products, automation, or intelligent workflows. Use keywords like "AI Product Design," "Agentic Workflows," "Systems Thinking," and "LLMs."

• Prepare Your Presentation: Practice walking through your selected portfolio case studies, focusing on articulating your design process, decision-making, and the measurable outcomes achieved, especially those related to AI and efficiency.

• Research ServiceLink: Understand ServiceLink's role in the mortgage industry and their strategic interest in AI. Consider how your skills can address their specific business challenges and contribute to their 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.