UX Program Manager

The Design Project; Greater London; On-site; GBP 65,000 - 90,000; Full time

Job summary

A leading AI research organization in London is seeking an experienced UX Program Manager to oversee the execution of complex AI initiatives. This role involves working closely with a specialized team of scientists and engineers, ensuring ethical considerations are integrated throughout the project lifecycle. Successful candidates will have 2-5 years of program management experience and a solid understanding of methodologies like Agile and Waterfall. The position offers competitive salary and benefits in a cutting-edge research environment.

Benefits

Health, dental, and vision insurance

Generous paid time off

Professional development opportunities

Access to cutting-edge AI technologies

Qualifications

• 2-5 years of experience in program management in a tech environment.
• Experience managing complex cross-functional projects.
• Proficiency in identifying and mitigating project risks.

Responsibilities

• Lead program execution for AI initiatives accurately and on time.
• Develop program plans including scope and timelines.
• Coordinate cross-functional teams to achieve project goals.
• Implement program management best practices.

Skills

Program management methodologies (Agile, Waterfall)

Excellent communication skills

Risk management

Technical team collaboration

Stakeholder management

Education

Bachelor's degree in Computer Science or related field

Master's degree or PhD in relevant field (preferred)

Tools

Jira

Asana

Google Workspace

Confluence

Tableau

Job description

UX Program Manager TEMPLATE - Generalist roles (catch-all template), UK

DeepMind

Full_time • London, United Kingdom

Job Title: UX Program Manager (Generalist)Company: DeepMindLocation: London, UKJob Type: Full-timeCategory: Program Management / OperationsDate Posted: 2026-01-15Experience Level: Mid-Level (2-5 years)Remote Status: On-site

• This role focuses on program management within the cutting-edge field of Artificial Intelligence (AI) at Google DeepMind, a leader in AI research and development.
• It involves contributing to the advancement of AI technologies, with a strong emphasis on prioritizing safety and ethical considerations throughout the program lifecycle.
• The position requires close collaboration with a diverse team of scientists, engineers, and machine learning experts to drive innovation and project execution.
• Successful candidates will play a crucial role in managing complex, cross-functional AI initiatives from conception through to deployment, ensuring alignment with DeepMind's mission.

📝 Enhancement Note: While the original title is "UX Program Manager," the description focuses heavily on AI advancement, safety, and collaboration with technical experts, suggesting the "UX" aspect might be a TEMPLATE placeholder or indicate a focus on user-centric design principles within AI programs. The role is framed as a generalist catch-all, implying broad program management responsibilities within this specialized domain. The core responsibilities center on managing AI development programs rather than purely user experience design.

📈 Primary Responsibilities

• Lead and manage end-to-end program execution for complex AI initiatives, ensuring timely delivery and alignment with strategic objectives.
• Develop and maintain detailed program plans, including scope, timelines, resource allocation, risk management, and communication strategies.
• Facilitate cross-functional collaboration between research, engineering, product, and other key stakeholders to drive consensus and overcome obstacles.
• Implement and refine program management best practices, methodologies, and operational processes to enhance efficiency and effectiveness within AI development lifecycles.
• Monitor program progress, identify potential risks and dependencies, and proactively implement mitigation strategies to ensure successful outcomes.
• Communicate program status, key decisions, and critical updates to all relevant stakeholders, including senior leadership.
• Ensure that safety and ethical considerations are integrated into the design, development, and deployment phases of all AI programs.
• Manage stakeholder expectations and build strong relationships across diverse teams, fostering a collaborative and productive working environment.

📝 Enhancement Note: The primary responsibilities have been inferred based on the standard duties of a Program Manager in a technology and research-focused environment, specifically within AI development. The emphasis on AI advancement, safety, and collaboration with technical teams guides these inferred responsibilities.

🎓 Skills & Qualifications

Education:

• Bachelor's degree in Computer Science, Engineering, a related technical field, or equivalent practical experience.
• A Master's degree or PhD in a relevant field is advantageous.

Experience:

• 2-5 years of experience in program management, project management, or operations within a technology-driven environment.
• Proven track record of successfully managing complex, cross-functional projects from initiation to completion.

Required Skills:

• Strong understanding of program management methodologies (e.g., Agile, Waterfall, Hybrid) and their practical application.
• Excellent organizational, planning, and time management skills with the ability to manage multiple priorities simultaneously.
• Exceptional communication, interpersonal, and stakeholder management skills, with the ability to influence and build consensus across diverse teams.
• Proficiency in identifying, assessing, and mitigating program risks and dependencies.
• Experience working with technical teams, including engineers and researchers, in a fast-paced environment.
• Demonstrated ability to drive processes and operational improvements.

Preferred Skills:

• Experience in the Artificial Intelligence (AI) or Machine Learning (ML) domain.
• Familiarity with UX principles and user-centered design methodologies, particularly as they apply to AI products or research.
• Experience with program management tools and software (e.g., Jira, Asana, Confluence).
• Knowledge of ethical AI principles and the ability to integrate them into program planning.
• Experience working in a research and development (R&D) setting.

📝 Enhancement Note: The "About You" section in the original input was vague. This enhancement infers specific required and preferred skills based on the role title (UX Program Manager), company (DeepMind - AI research), and general program management expectations in a highly technical field. The "catch-all template" nature suggests a need for adaptable skills.

• Demonstrated experience in managing programs that involved complex technical challenges, ideally within AI or related fields.
• Case studies showcasing successful program delivery, highlighting initiatives managed, challenges overcome, and outcomes achieved.
• Examples of process optimization or workflow improvements implemented within previous program management roles.
• Documentation illustrating your approach to risk management, stakeholder communication, and cross-functional team coordination.
• Evidence of managing programs with a strong focus on ethical considerations or safety protocols, if applicable.

Process Documentation:

• Ability to document and communicate program workflows, decision-making processes, and operational procedures clearly and concisely.
• Experience in creating and maintaining program documentation, including status reports, risk registers, and project charters.
• Familiarity with developing and implementing standard operating procedures (SOPs) for program execution.

📝 Enhancement Note: Given this is a Program Manager role in a highly technical and research-oriented company, a portfolio demonstrating practical program management skills, process thinking, and impactful delivery is expected, even if not explicitly stated in the raw input. The "UX" in the title suggests a potential need to showcase user-centric approaches within technical programs.

Salary Range:

• Based on industry benchmarks for a mid-level Program Manager in London, UK, with 2-5 years of experience in a leading technology firm like DeepMind, the estimated annual salary range is £65,000 - £90,000. This range can vary based on specific experience, qualifications, and the candidate's negotiation.
• Comprehensive health, dental, and vision insurance.
• Generous paid time off, including holidays and sick leave.
• Retirement savings plan with company match (e.g., pension contributions).
• Professional development opportunities, including training, conferences, and tuition reimbursement.
• Access to cutting-edge AI research and technologies.
• Opportunities for internal mobility and career advancement within Google.
• Relocation assistance may be available for candidates moving to London.
• Employee assistance programs and wellness initiatives.

Working Hours:

• Standard full-time working hours are typically 40 hours per week. Flexibility may be offered, but on-site presence in London is expected for this role.

📝 Enhancement Note: Salary and benefits are estimated based on typical offerings for similar roles at major technology companies in London, UK. The "Full-time" employment type and "On-site" work arrangement are factored into the working hours and benefits.

Industry: Artificial Intelligence, Machine Learning, Technology Research & Development.Company Size: DeepMind is a significant research lab within Google, implying a large organizational structure with a specialized, focused team for AI development. It operates with the resources of a major tech conglomerate while maintaining a research-lab ethos.Founded: DeepMind was founded in 2010 and acquired by Google in 2014. This history indicates a blend of startup agility and established corporate integration.

Team Structure:

• The AI program management team likely operates within a matrixed structure, collaborating closely with dedicated research teams, engineering departments, and product groups.
• Reporting lines may vary, but Program Managers typically report to a senior program management lead or director, with dotted-line responsibilities to project stakeholders.
• Cross-functional collaboration is fundamental, involving close partnerships with ML researchers, software engineers, AI ethicists, product managers, and UX designers.

Methodology:

• DeepMind emphasizes a data-driven, scientific approach to AI development, integrating rigorous research with practical application.
• Program management methodologies are likely adapted to suit the R&D environment, often incorporating elements of Agile and Lean principles alongside structured project planning to accommodate research uncertainty.
• A strong focus on ethical AI development, safety protocols, and rigorous testing is embedded in their operational processes.

📝 Enhancement Note: Company culture and structure are inferred from DeepMind's public profile as a leading AI research lab within Google, emphasizing innovation, scientific rigor, and ethical development.

Operations Career Level: This role is positioned as a mid-level Program Manager, requiring 2-5 years of experience. It's an opportunity to manage significant AI initiatives and contribute to high-impact projects, serving as a stepping stone to more senior program leadership roles.

Reporting Structure: The Program Manager will likely report to a Director or Senior Manager of Program Management within DeepMind's operations or research support functions. They will work closely with Principal Investigators, Research Leads, Engineering Managers, and Product Managers on a project-by-project basis.

Operations Impact: The role has a direct impact on accelerating DeepMind's mission to "solve intelligence" and apply AI for societal benefit. By ensuring efficient program execution, managing risks, and fostering collaboration, the Program Manager enables researchers and engineers to focus on groundbreaking AI advancements, ultimately contributing to new discoveries and product innovations.

• Specialization: Deepen expertise in AI program management, focusing on specific areas like ethical AI, ML operations (MLOps), or user experience for AI applications.
• Leadership: Progress to Senior Program Manager, leading larger, more strategic initiatives or managing a portfolio of programs.
• Cross-functional Mobility: Transition into related roles such as Product Management, Operations Management, or Strategic Planning within DeepMind or Google.
• Skill Development: Access extensive internal training programs, workshops, and mentorship from experienced leaders within Google's vast ecosystem.

📝 Enhancement Note: Growth opportunities are framed within the context of a large tech organization like Google/DeepMind, emphasizing typical career progression paths for program managers in technical fields.

Office Type: DeepMind's London offices are designed to foster collaboration and innovation, likely featuring modern open-plan workspaces, dedicated meeting rooms, quiet zones, and research labs. The environment is geared towards intensive research and development.

Office Location(s): The primary location is London, UK. DeepMind has multiple offices within London, providing access to a vibrant tech hub and convenient commuting options.

Workspace Context:

• The workspace encourages a blend of focused individual work and collaborative team sessions.
• Access to state-of-the-art computing resources, research facilities, and internal collaboration tools is standard.
• Opportunities for informal interactions with leading AI researchers and engineers are abundant, fostering a dynamic learning environment.

Work Schedule: While a standard 40-hour work week is expected, the on-site nature implies a commitment to being present in the office during core business hours to facilitate real-time collaboration and team engagement. Flexibility might be available for specific circumstances, but the demands of managing complex, cross-functional AI programs often necessitate consistent on-site presence.

📝 Enhancement Note: The work environment description is based on typical office setups for leading tech research labs and incorporates the "On-site" work arrangement.

Interview Process:

• Initial Screening: A recruiter will review your application and resume to assess basic qualifications and fit.
• Hiring Manager Interview: A conversation with the hiring manager to discuss your experience, program management philosophy, and suitability for the role and team.
• Technical/Behavioral Interviews: A series of interviews with team members (e.g., engineers, researchers, other PMs) focusing on your program management skills, problem-solving abilities, stakeholder management, and experience with AI/UX concepts.
• Case Study/Presentation: You may be asked to present a past project or solve a hypothetical program management challenge relevant to DeepMind's work, demonstrating your strategic thinking, planning, and communication skills.
• Final Interview: A concluding interview, often with a more senior leader, to assess overall fit and potential.
• Showcase Impact: Focus on quantifiable achievements and the business/research impact of programs you've managed. Use metrics to demonstrate success.
• Process & Methodology: Clearly articulate the program management methodologies you employed, your reasoning for choosing them, and how you adapted them.
• Cross-functional Collaboration: Highlight examples of how you successfully managed diverse stakeholders, resolved conflicts, and fostered collaboration.
• AI/UX Relevance: If possible, include examples that touch upon AI development, user-centric design, or ethical considerations within technical programs.
• Clarity & Conciseness: Ensure your portfolio is well-organized, easy to understand, and directly addresses the requirements of the role.
• Familiarize yourself with DeepMind's mission, research areas, and recent breakthroughs.
• Prepare to discuss your experience with managing ambiguity and complex technical challenges.
• Practice articulating your thought process for problem-solving, risk assessment, and decision-making in program management scenarios.
• Be ready to discuss your approach to balancing competing priorities and managing stakeholder expectations in a fast-paced R&D environment.

📝 Enhancement Note: This section details a typical interview process for a Program Manager role in a top-tier tech company, with specific considerations for DeepMind's AI research focus.

Primary Tools:

• Project & Task Management: Jira, Asana, Trello, Monday.com (for tracking tasks, sprints, and project progress).
• Collaboration & Documentation: Google Workspace (Docs, Sheets, Slides, Meet), Confluence, Slack (for team communication, documentation, and knowledge sharing).
• Diagramming & Visualization: Lucidchart, Miro, Visio (for process mapping, workflow design, and strategic planning).

Analytics & Reporting:

• Data Analysis: Google Sheets, potentially basic SQL or Python for data extraction/analysis if involved in metrics definition.
• Reporting: Google Data Studio, Tableau, or internal Google reporting tools for creating dashboards and status reports.

CRM & Automation:

• While not a direct CRM role, understanding how data flows from research/development into potential productization might involve familiarity with systems that manage user feedback or product roadmaps.
• Automation tools might be relevant for process streamlining, though specific tools are not mentioned.

📝 Enhancement Note: The tools listed are standard for program management roles in large technology companies, with an emphasis on collaboration and project tracking, and potential exposure to data analysis and reporting tools used within Google.

Operations Values:

• Innovation & Excellence: A drive to push the boundaries of AI and maintain the highest standards in research and execution.
• Collaboration & Transparency: Open communication and teamwork are paramount to solving complex problems.
• Safety & Ethics: A deep commitment to developing AI responsibly and for the benefit of humanity.
• Impact & Purpose: A shared passion for making a significant, positive contribution to the world through AI.
• Curiosity & Learning: A continuous pursuit of knowledge and a willingness to explore new ideas and methodologies.
• Highly collaborative, with a strong emphasis on cross-functional teamwork between researchers, engineers, and program managers.
• Open dialogue and constructive feedback are encouraged to foster innovation and problem-solving.
• A culture that values diverse perspectives and encourages shared ownership of project success.

📝 Enhancement Note: DeepMind's stated mission and values heavily influence the inferred team culture and operational values, emphasizing scientific rigor, ethical AI, and collaborative innovation.

• Managing Ambiguity: Navigating the inherent uncertainties of cutting-edge AI research and development, where project scopes can evolve rapidly.
• Technical Complexity: Understanding and managing programs involving highly complex AI/ML concepts and advanced engineering challenges.
• Cross-functional Alignment: Ensuring seamless collaboration and alignment among diverse teams with different priorities and technical backgrounds.
• Ethical & Safety Integration: Effectively embedding and managing safety and ethical considerations throughout the entire program lifecycle.
• Pace of Innovation: Keeping pace with the rapid advancements in AI and adapting program management strategies accordingly.
• AI & ML Exposure: Direct exposure to world-leading AI research and development, offering unparalleled learning opportunities.
• Mentorship: Access to experienced leaders and subject matter experts within DeepMind and Google.
• Formal Training: Opportunities for professional development, including specialized courses in program management, AI/ML, and leadership.
• Industry Conferences: Potential for participation in leading AI and technology conferences.

📝 Enhancement Note: Challenges are derived from the nature of working in advanced AI research, while growth opportunities reflect the typical benefits of working for a major tech research organization.

Strategy Questions:

• "Describe a complex technical program you managed from start to finish. What were the key challenges, and how did you overcome them?" (Focus on process, risk management, stakeholder communication).
• "How do you approach balancing the needs of research teams with the deadlines and deliverables of a program?" (Highlight adaptability, negotiation, and understanding of R&D cycles).
• "Imagine a scenario where a critical AI safety protocol is identified as a bottleneck. How would you address this from a program management perspective?" (Demonstrate understanding of ethical AI and proactive problem-solving).
• "How would you foster collaboration between highly specialized research scientists and software engineers on a new AI project?" (Showcase interpersonal skills and cross-functional team building).

Company & Culture Questions:

• "What interests you most about DeepMind's mission and our work in AI?" (Research DeepMind's recent projects and values).
• "How do you ensure ethical considerations are integrated into your program management approach?" (Connect your experience to DeepMind's emphasis on responsible AI).
• "Describe a time you had to influence stakeholders with different priorities. How did you achieve alignment?" (Prepare examples of negotiation and consensus-building).
• Structure your case studies around the STAR method (Situation, Task, Action, Result), clearly outlining the problem, your role, the steps taken, and the measurable outcomes.
• For any technical programs, be prepared to explain the core concepts at a high level without getting overly technical, focusing on the management aspects.
• If discussing UX, frame it within the context of how user needs or design principles informed the technical program's direction or success.
• Emphasize your adaptability, problem-solving skills, and ability to drive execution in complex, ambiguous environments.

📝 Enhancement Note: Interview questions and preparation strategies are tailored to a Program Manager role in AI research, emphasizing technical understanding, ethical considerations, and cross-functional collaboration.

To apply for this UX Program Manager position:

• Submit your application through the Greenhouse portal via the provided link.
• Tailor your resume: Highlight specific program management achievements, quantifying results where possible. Emphasize experience with technical projects, cross-functional teams, and any exposure to AI, ML, or UX principles.
• Prepare your portfolio: Curate 2-3 key projects that best demonstrate your program management capabilities, focusing on complexity, impact, and your role in driving success. Be ready to discuss your process, challenges, and outcomes.
• Research DeepMind: Understand their mission, values, and recent work in AI to articulate your interest and align your experience with their goals.
• Practice your narrative: Be ready to clearly and concisely explain your experience, your approach to program management, and how you can contribute to DeepMind's objectives during interviews.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and operations industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.

Application Requirements

Candidates should possess relevant skills and experience for the UX Program Manager role. Additional advantageous skills are also mentioned but not specified.