Senior Technical Director - AI UX

📍 Job Overview

Job Title: Senior Technical Director - AI UX

Company: Rocket Companies

Location: United States (Remote)

Job Type: FULL_TIME

Category: Revenue Operations / Sales Operations / GTM Technology (AI UX Strategy)

Date Posted: 2026-05-07

Experience Level: 10+ Years

Remote Status: Fully Remote

🚀 Role Summary

• Define and architect the long-term vision for AI-driven user experiences and reusable interaction patterns across Rocket Software's product portfolio, focusing on enterprise modernization.

• Lead the integration of AI copilots, contextual assistants, and multimodal interfaces into complex enterprise workflows, ensuring intuitive, trustworthy, and governable user interactions.

• Establish and enforce principles for responsible AI use, transparency, and explainability within AI-powered features across various product lines.

• Drive applied research and development for next-generation AI interaction models to enhance human-machine collaboration and reduce cognitive load for technical and operational users.

📝 Enhancement Note: This role is positioned within a broader AI COE (Center of Excellence) and focuses on the strategic application of AI within enterprise software. While not a direct Revenue or Sales Operations role, the strategic emphasis on integrating AI into enterprise workflows, improving user experience for technical/operational users, and driving adoption of AI-powered features has significant implications for how sales, customer success, and support operations will leverage these technologies in the future. The "AI UX Architecture" and "Enterprise Workflow Design" aspects are critical for GTM enablement.

📈 Primary Responsibilities

• Define Rocket's overarching AI-driven experience strategy across all product lines, with a strategic imperative to embed intelligence into enterprise workflows, decision paths, and operational systems.

• Architect reusable, scalable experience frameworks and primitives for AI copilots, contextual assistance, and multimodal interactions, with a strong emphasis on building user trust, ensuring clarity, and maintaining human control.

• Establish and enforce robust patterns for transparency, explainability, governance, and responsible AI use, effectively translating policy and platform constraints into seamless and compliant user experiences.

• Collaborate closely with Product Management, UX Design, and Engineering leadership to integrate AI experience patterns into product roadmaps and platform architecture, actively challenging designs that could compromise user trust or usability.

• Lead applied R&D exploration into next-generation AI interaction models, with a focus on improving human-machine collaboration, reducing cognitive load, and enabling safe and effective automation within enterprise contexts.

• Publish internal and external thought leadership content to help shape Rocket's strategic perspective and market position on enterprise AI experiences.

• Engage directly with customers and industry partners to validate AI interaction models against real-world operational needs, constraints, and evolving industry standards.

• Mentor senior engineers and influence technical direction across multiple teams, serving as a key architectural authority for AI-driven user experiences.

📝 Enhancement Note: The responsibilities highlight a strategic, architectural, and leadership-oriented role. For GTM operations professionals, understanding how this role shapes the user experience of AI tools is crucial, as these tools will eventually impact sales enablement, customer support efficiency, and data analysis capabilities. The emphasis on "enterprise workflows" and "operational systems" directly ties into the domain of operations.

🎓 Skills & Qualifications

Education: Advanced degree in Computer Science, Human-Computer Interaction (HCI), AI/ML, or a related field is preferred.

Experience: 12+ years of progressive experience in software engineering, AI/ML systems, UX architecture, Human-Computer Interaction (HCI), or related technical disciplines.

Required Skills:

• Deep experience designing and delivering AI-enabled user experiences within complex software systems, particularly in enterprise environments.

• Strong technical understanding of Machine Learning (ML) and Natural Language Processing (NLP) concepts, coupled with the ability to collaborate effectively with AI engineering teams.

• Demonstrated ability to simplify complex, high-stakes workflows through intelligence-driven design principles.

• Excellent communication and interpersonal skills, with a proven ability to influence and drive consensus across engineering, product management, and design organizations.

Preferred Skills:

• Familiarity with responsible AI design principles, including explainability, auditability, and compliance-oriented UX patterns.

• Experience with multimodal interaction models, such as chat-based interfaces, visual reasoning cues, or voice interfaces, where applicable.

• Experience in defining and implementing AI strategy within an organization.

📝 Enhancement Note: The experience requirement of 12+ years suggests a senior leadership role. For operations professionals, understanding the technical underpinnings of AI UX is valuable for future technology adoption and strategic planning. The emphasis on "enterprise software for technical or operational users" is a direct link to how GTM operations might leverage these tools.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Demonstrate architectural blueprints and strategy documents outlining AI experience frameworks and reusable patterns for cross-product integration.

• Showcase case studies of AI-enabled features that successfully simplified complex workflows or improved decision-making for enterprise users, highlighting the user experience design process.

• Provide examples of how responsible AI principles (transparency, explainability, governance) were integrated into the design and implementation of AI features.

Process Documentation:

• Evidence of defining and documenting AI experience strategies, including user journey mapping for AI interactions.

• Examples of creating and enforcing design guidelines or patterns for AI copilots, contextual assistants, or multimodal interfaces.

• Documentation of collaboration processes with product, UX, and engineering teams to integrate AI experience requirements into product roadmaps and technical architectures.

• Research documentation or proposals for applied R&D projects exploring novel AI interaction models.

📝 Enhancement Note: While this role is highly strategic, a strong portfolio demonstrating the ability to translate AI concepts into tangible, well-architected user experiences is essential. For operations professionals, understanding this focus on "architectural blueprints," "case studies," and "design guidelines" helps in appreciating how AI tools are developed and integrated, which will impact their own operational efficiency.

💵 Compensation & Benefits

Salary Range: $174,000 - $235,000 annually (Gross, before taxes)

Benefits:

• Unlimited Vacation Time: Provides flexibility and work-life balance.

• Paid Holidays and Sick Time: Standard benefits for employee well-being.

• Health and Wellness Coverage: Comprehensive options for employees and dependents.

• Life and Disability Coverage: Financial protection for employees and their families.

• Fidelity 401(k) and Roth Retirement Savings with Matching Contributions: Robust retirement planning support.

• Monthly Student Debt Benefit Program: A unique benefit addressing a common financial concern for many professionals.

• Tuition Reimbursement and Certificate Reimbursement Program: Opportunities for continuous learning and professional development.

• Leadership and Skills Training Opportunities: Dedicated programs for career advancement.

Working Hours: 40 hours per week, standard for a full-time role.

📝 Enhancement Note: The salary range provided is competitive for a senior technical leadership role in the US, especially for a remote position. The comprehensive benefits package, including unique offerings like student debt relief and extensive training, indicates a strong focus on employee well-being and development, which is attractive to operations professionals seeking long-term career growth.

🎯 Team & Company Context

🏢 Company Culture

Industry: Enterprise Modernization Software. Rocket Software provides solutions that help organizations modernize their core business applications and infrastructure without disrupting operations. This positions them as a key player in digital transformation initiatives.

Company Size: Rocket Software is a significant player in the enterprise software market, indicating a structured organization with established processes and a substantial customer base.

Founded: The founding date of Rocket Software (or its predecessor entities) signifies a long-standing presence and deep expertise in the enterprise technology sector. This implies a culture that values stability, innovation, and long-term customer relationships.

Team Structure:

• This role is part of Rocket's AI COE (Center of Excellence), suggesting a dedicated, specialized team focused on driving AI innovation and strategy across the company.

• The Senior Technical Director will likely report to a senior AI or Technology leader within the COE or a broader engineering/product organization.

Methodology:

• Data-Driven Design: Emphasizes using data and user insights to inform AI experience design and strategy.

• Agile Development: Likely employs agile methodologies for product development and AI feature iteration, allowing for flexibility and rapid prototyping.

• User-Centricity: A strong focus on understanding the needs of enterprise users, particularly technical and operational professionals, to ensure AI solutions are valuable and intuitive.

• Responsible AI Frameworks: Commitment to ethical AI development and deployment, integrating principles of fairness, transparency, and accountability into the design process.

Company Website: rocketcompanies.com (Note: The provided URL in the raw data rocket.wd5.myworkdayjobs.com is for their careers portal. The main company website is typically rocketsoftware.com for their software products, or rocketcompanies.com for the parent entity, depending on the specific division focus. For clarity, using the main corporate entity.)

📝 Enhancement Note: The context of "enterprise modernization" is crucial. Operations professionals in companies undergoing such transformations will find this role's output highly relevant, as it directly influences the tools and interfaces they will use. The AI COE structure suggests a forward-thinking company investing heavily in AI capabilities.

📈 Career & Growth Analysis

Operations Career Level: This is a senior technical leadership position, equivalent to a Director or Principal level in many organizations. It requires deep expertise in AI UX architecture and a strategic vision for AI integration within enterprise software. While not a traditional operations role, it significantly impacts how operations professionals interact with technology.

Reporting Structure: The role reports into the AI COE, likely to a VP or Senior Director of AI/Technology. This position will influence and collaborate with numerous product and engineering teams across Rocket Software.

Operations Impact: The work of this role directly impacts the future usability and efficiency of Rocket's software for its customers. This translates to potential improvements in customer operations, IT operations, and even sales enablement by making complex software more accessible and powerful through AI.

Growth Opportunities:

• Technical Leadership: Opportunity to become a recognized authority in enterprise AI UX, shaping the future of AI interaction models within a major software company.

• Strategic Influence: Direct impact on product roadmaps and company-wide AI strategy, offering significant influence over technological direction.

• Mentorship & Team Building: Develop leadership skills by mentoring senior engineers and potentially building out aspects of the AI UX team.

• Industry Thought Leadership: Opportunity to publish, speak at conferences, and contribute to the broader discourse on enterprise AI, enhancing professional reputation.

• Breadth of Exposure: Work across a diverse portfolio of enterprise modernization products, gaining broad experience in various technical domains.

📝 Enhancement Note: For operations professionals, this role represents the "source" of advanced AI capabilities they might later leverage. Understanding its strategic importance highlights the value of investing in AI literacy within operations teams. The growth opportunities are geared towards technical leadership, but the impact on operational efficiency is substantial.

🌐 Work Environment

Office Type: This is a fully remote position, offering maximum flexibility for employees across the United States.

Office Location(s): While remote, the company has a presence in various locations, with a significant operational base potentially in Massachusetts (indicated by the state-specific legal notice). However, for this role, the work is performed from anywhere within the United States.

Workspace Context:

• Remote Collaboration: Expect to utilize a wide range of digital collaboration tools (e.g., Slack, Teams, Zoom, Confluence, Jira) for communication and project management.

• Technology Access: The company will likely provide necessary hardware and software, or stipends, to ensure effective remote work. Access to robust cloud-based development and AI/ML platforms is probable.

• Team Interaction: While remote, there will be structured opportunities for team meetings, design reviews, and cross-functional syncs, often requiring active participation in virtual collaboration sessions.

Work Schedule: Standard 40-hour work week is specified. Given the senior nature of the role and its strategic impact, flexibility may be inherent, but core availability for collaboration during US business hours is expected.

📝 Enhancement Note: The fully remote nature is a significant advantage for attracting talent. For operations professionals, this aligns with the trend towards remote or hybrid work models and emphasizes the need for strong digital collaboration skills and self-discipline.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: HR or Recruiter call to assess alignment with basic requirements, salary expectations, and remote work eligibility.

• Hiring Manager Interview: Discussion with the hiring manager to delve into experience with AI UX strategy, technical depth, and leadership capabilities. Expect questions about defining AI strategy and architecting user experiences.

• Technical/Architectural Deep Dive: A session with senior engineers, architects, or AI leads to evaluate technical understanding of ML/NLP, experience design principles, and architectural thinking for AI systems. This may involve discussing past projects and technical challenges.

• Cross-Functional Panel: Interview with representatives from Product Management, UX Design, and potentially Engineering to assess collaboration style, communication skills, and ability to influence diverse stakeholders.

• Executive/Senior Leadership Interview: Final discussion with a senior executive (e.g., CTO, VP AI) to assess strategic vision, cultural fit, and long-term potential.

Portfolio Review Tips:

• Focus on Strategy and Architecture: Highlight documents or presentations that showcase your ability to define a long-term AI UX vision and develop scalable architectural frameworks.

• Showcase Impactful AI UX: Present case studies where your AI-driven designs significantly improved user experience, simplified complex workflows, or enhanced decision-making for enterprise users. Quantify impact where possible.

• Demonstrate Responsible AI Integration: Clearly articulate how you've incorporated principles of transparency, explainability, and governance into AI feature design.

• Tailor to Enterprise Context: Emphasize experience with complex software systems and understanding of technical or operational users.

• Prepare for Technical Discussions: Be ready to discuss the technical underpinnings of your designs, including ML/NLP concepts and interaction models.

Challenge Preparation:

• AI UX Strategy Scenario: You might be asked to outline a strategy for integrating AI copilots into a specific enterprise software domain or to address challenges in ensuring responsible AI deployment.

• Architectural Design Challenge: A hypothetical scenario where you need to design an AI-driven interface for a complex workflow, focusing on user trust, explainability, and scalability.

• Cross-Functional Collaboration Scenario: How you would influence product and engineering teams to adopt your AI UX architectural principles.

📝 Enhancement Note: The interview process is designed to assess strategic thinking, technical depth, and leadership influence. Operations professionals interested in roles that interact with technology strategy should prepare to discuss how AI impacts efficiency and user adoption. The portfolio emphasis is on strategic architectural thinking, not just UI mockups.

🛠 Tools & Technology Stack

Primary Tools (Likely Used or Influenced):

• AI/ML Platforms: Familiarity with cloud-based AI/ML services (e.g., AWS SageMaker, Azure ML, Google AI Platform) and their UX implications.

• Development Frameworks: Understanding of how AI capabilities are integrated into various front-end and back-end frameworks (e.g., React, Angular, Java, Python).

• Design & Prototyping Tools: Proficiency with tools like Figma, Sketch, Adobe XD for creating mockups and prototypes, and potentially specialized tools for AI interaction design.

• Collaboration Suites: Microsoft 365 (Teams, SharePoint, OneDrive), Google Workspace, Slack.

Analytics & Reporting:

• Product Analytics: Tools like Pendo, Amplitude, Mixpanel to understand user behavior with AI features.

• BI & Dashboarding: Tableau, Power BI, Looker for reporting on AI adoption and impact metrics.

• Data Warehousing/Lakes: Understanding how data is managed to fuel AI models and reporting.

CRM & Automation:

• CRM Systems: Salesforce, Microsoft Dynamics (relevant for understanding sales and customer success workflows that AI might augment).

• Workflow Automation Tools: Tools that enable process automation which AI can enhance or manage.

• Integration Platforms: Understanding how different enterprise systems connect to deliver AI-powered workflows.

📝 Enhancement Note: While this role is about strategy and architecture, a practical understanding of the tools and technologies that enable AI development and deployment is essential. For operations professionals, recognizing these tools helps in understanding the ecosystem and potential integration points with their own operational systems.

👥 Team Culture & Values

Operations Values (Inferred for AI COE):

• Innovation: A drive to explore and implement cutting-edge AI technologies to solve complex enterprise problems.

• Collaboration: Strong emphasis on working effectively across product, engineering, and design to achieve shared goals.

• Customer Focus: Deep understanding of enterprise customer needs and commitment to delivering solutions that provide tangible value.

• Integrity & Responsibility: Dedication to ethical AI development, ensuring trust, transparency, and governance in all AI applications.

• Excellence: Striving for high-quality, robust, and scalable solutions that meet enterprise-grade standards.

Collaboration Style:

• Cross-Functional Partnership: The role requires proactive engagement with various departments, fostering a collaborative environment where AI UX vision is shared and co-developed.

• Influence and Advocacy: A style that relies on strong communication, data-driven arguments, and thought leadership to advocate for AI UX best practices.

• Feedback-Driven Iteration: An open approach to feedback from peers, stakeholders, and customers to refine AI interaction models and strategies.

• Knowledge Sharing: A culture of sharing insights, research findings, and best practices within the AI COE and across the broader organization.

📝 Enhancement Note: The AI COE's culture will likely be a blend of cutting-edge technology exploration and rigorous enterprise-grade execution. For operations professionals, understanding these values helps predict how new AI features will be developed and integrated, emphasizing a need for adaptability and a commitment to ethical technology use.

⚡ Challenges & Growth Opportunities

Challenges:

• Bridging AI Innovation and Enterprise Realities: Balancing the potential of advanced AI with the practical constraints of enterprise software, including legacy systems, security requirements, and user adoption hurdles.

• Ensuring Trust and Explainability: Developing AI experiences that users can trust, especially in high-stakes, regulated environments, by making AI decisions transparent and understandable.

• Driving Cross-Organizational Alignment: Gaining buy-in and ensuring consistent implementation of AI UX strategies across diverse product teams with varying priorities and technical maturity.

• Rapidly Evolving AI Landscape: Staying ahead of the curve in a fast-paced AI field, continuously adapting strategies and exploring new interaction paradigms.

Learning & Development Opportunities:

• Deep Dive into Enterprise AI: Extensive opportunities to learn about AI applications in various enterprise modernization contexts, from infrastructure to data analytics.

• Cutting-Edge Research: Involvement in applied R&D for next-generation AI interaction models, pushing the boundaries of human-machine collaboration.

• Leadership and Mentorship: Developing skills in technical leadership, strategic planning, and mentoring junior and senior team members.

• Industry Engagement: Potential to represent Rocket Software at industry conferences, contributing to and learning from the broader AI and UX communities.

📝 Enhancement Note: The challenges are inherent to pioneering AI integration in enterprise software. Operations professionals can anticipate that the solutions developed will aim to address these very challenges, potentially leading to more efficient, trustworthy, and user-friendly operational tools in the future.

💡 Interview Preparation

Strategy Questions:

• "How would you define Rocket's long-term AI UX strategy across our product portfolio, considering our focus on enterprise modernization?" (Prepare to discuss vision setting, key principles, and phased implementation.)

• "Describe your approach to architecting reusable experience frameworks for AI copilots and contextual assistants, emphasizing trust and governability." (Focus on modularity, pattern definition, and compliance integration.)

Company & Culture Questions:

• "Based on your understanding of Rocket Software, how do you see AI UX transforming the experience for our technical and operational customers?" (Demonstrate research into Rocket's product lines and market position.)

• "How do you ensure AI features are not only innovative but also trustworthy and explainable in complex enterprise environments?" (Connect to responsible AI principles and practical implementation.)

Portfolio Presentation Strategy:

• Structure: Organize your portfolio around key themes: AI UX Strategy, Architectural Design, Responsible AI Implementation, and Impact on Enterprise Users.

• Narrative: For each project, tell a compelling story: the problem, your strategic approach, the AI UX solutions you designed, the challenges faced, and the quantifiable impact.

• Visuals: Use diagrams, flowcharts, mockups, and prototypes to illustrate complex AI interactions and architectural designs effectively.

• Technical Depth: Be prepared to discuss the technical considerations and ML/NLP concepts behind your designs.

• Focus on Enterprise: Highlight how your work addresses the specific needs and constraints of enterprise software users.

📝 Enhancement Note: Preparing for this role requires a blend of strategic thinking, technical understanding, and strong communication skills. Operations professionals can draw parallels from their own experiences in implementing new tools or processes, focusing on user adoption, efficiency gains, and risk mitigation.

📌 Application Steps

To apply for this Senior Technical Director - AI UX position:

• Submit your application through the Rocket Companies careers portal via the provided link.

• Curate Your Portfolio: Select 2-3 key projects that best showcase your AI UX strategy, architectural design capabilities, and experience with enterprise software. Tailor your presentation to highlight how you've addressed trust, explainability, and user experience for complex workflows.

• Optimize Your Resume: Ensure your resume clearly articulates your 12+ years of experience, focusing on roles related to AI/ML, UX architecture, and technical leadership. Use keywords from the job description such as "AI UX Architecture," "enterprise workflows," "responsible AI," and "ML/NLP concepts." Quantify achievements where possible.

• Prepare for Strategic Discussions: Rehearse your approach to defining AI UX strategy, architecture, and influencing cross-functional teams. Be ready to discuss your vision for AI in enterprise modernization.

• Research Rocket Software: Understand their product offerings, market position in enterprise modernization, and recent AI initiatives to demonstrate informed interest and strategic alignment.

⚠️ 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.