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Today

Senior Product Designer, Agentic Platform

UnitedHealth Group Eden Prairie, MN 🇺🇸 Remote

Eden Prairie, MN

Today

$113k - $193k/yr Full time Agentic Ai Ai Agent Ai Agent Platform

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Job Description

UnitedHealth Group is seeking a Senior Product Designer to shape the Agentic Platform within Enterprise Modernization. In this role, you will design intuitive, trustworthy, and accessible experiences for discovering, configuring, supervising, and measuring AI agents across cross-functional teams.

Responsibilities

Partner with Product and Engineering to define end-to-end experiences for agent discovery, onboarding, configuration, deployment, supervision, performance monitoring, and lifecycle management
Translate platform strategy, user needs, and technical constraints into journey maps, service blueprints, information architecture, interaction models, wireframes, and high-fidelity designs
Design experiences for multiple personas, including business users, agent builders, developers, platform administrators, risk reviewers, and customer support teams
Create coherent workflows spanning marketplace, agent studio, runtime controls, observability, policy management, data connections, and administration capabilities
Define interaction patterns that help users understand an agent’s purpose, capabilities, limitations, data use, permissions, and expected outcomes
Design human-in-the-loop workflows for review, approval, escalation, intervention, exception handling, and recovery from failed or uncertain agent actions
Make agent status, reasoning summaries, source attribution, action history, and confidence indicators understandable without unnecessary technical detail
Collaborate with Responsible AI, Security, Privacy, Legal, Compliance, and Risk teams to translate policies and controls into usable product experiences
Plan and conduct interviews, contextual inquiry, workflow analysis, concept testing, and usability studies with internal users and prospective external customers
Synthesize qualitative and quantitative evidence into experience principles, design requirements, opportunity areas, and prioritized recommendations
Use prototypes to test complex agentic concepts early, reduce delivery risk, and improve product decisions before engineering investment
Partner with Product to define experience success measures such as task completion, time to value, comprehension, adoption, error prevention, and user confidence
Establish reusable patterns for agent cards, permissions, tool and data connections, conversational interfaces, workflow visualization, alerts, approvals, audit history, and analytics
Extend the enterprise design system with agentic-specific components and guidance while maintaining accessibility, consistency, and brand alignment
Document interaction standards, responsive behavior, content guidance, edge cases, and component usage to support consistent implementation
Collaborate with Design System, Content Design, and Front-End Engineering partners to improve component quality and adoption
Work within agile product teams from discovery through release, providing design specifications, interaction details, prototypes, and implementation guidance
Partner with technical leaders to balance user value, platform reuse, feasibility, security, performance, and delivery sequencing
Review implemented experiences for design quality, accessibility, and alignment with intended workflows, and identify gaps before release
Contribute to roadmap planning, backlog refinement, acceptance criteria, design reviews, and release-readiness decisions
Present experience strategy, research insights, prototypes, design decisions, and recommendations to senior product, technology, and business stakeholders
Facilitate cross-functional workshops to align teams around user problems, target journeys, design principles, and measurable outcomes
Mentor designers and help establish practical methods for designing AI-enabled and agentic enterprise experiences
Advocate for customer-centered design, accessibility, and evidence-based decision-making across the platform organization

Requirements

Bachelor’s degree in Human-Computer Interaction, Interaction Design, User Experience, Graphic Design, Computer Science, or a related field, or equivalent work experience
10+ years of experience in UX, product design, interaction design, or related disciplines, including significant experience designing complex enterprise software or platforms
Portfolio demonstrating end-to-end design thinking, information architecture, interaction design, prototyping, and measurable improvement of complex digital experiences
Experience leading design for multi-persona workflows, administration experiences, developer or platform products, data-intensive applications, or enterprise SaaS solutions
Advanced proficiency with modern design and prototyping tools such as Figma, including component libraries, design systems, and interactive prototypes
Demonstrated ability to translate technical concepts, system behavior, and business rules into intuitive workflows and understandable interfaces
Experience planning and conducting user research and usability testing, synthesizing findings, and using evidence to influence product direction
Demonstrated understanding of AI/ML and LLM-enabled experiences, including conversational interfaces, agent workflows, automation, transparency, oversight, and failure states
Proven working knowledge of accessibility standards and inclusive design practices, including WCAG and accessible interaction patterns
Demonstrated ability to influence senior stakeholders and collaborate effectively with Product, Engineering, Architecture, Research, Content Design, Security, and Risk teams

Technologies

Figma
WCAG
AI/ML
LLM-enabled experiences

Benefits

Comprehensive benefits package
Incentive and recognition programs
Equity stock purchase
401k contribution (all benefits are subject to eligibility requirements)
Salary range from $112,700 to $193,200 annually based on full-time employment

Preferred Qualifications

Bachelor’s degree in human-Computer Interaction, Design, Cognitive Science, Computer Science, or a related field
Experience designing agentic AI platforms, AI assistants, workflow automation, marketplaces, developer platforms, or governance and observability products
Experience with enterprise design systems and establishing reusable interaction patterns across multiple products or teams
Experience designing for regulated or high-trust environments where privacy, security, auditability, identity, and policy controls affect the user experience
Familiarity with APIs, data connectors, identity and access management, policy controls, telemetry, semantic or knowledge layers, and multi-tenant SaaS architectures
Experience using product analytics, experimentation, and qualitative research together to guide design priorities and assess outcomes
Experience mentoring designers, facilitating executive-level design discussions, and helping a new platform establish its experience vision and design practices

Remote Work / Location Requirement

Work remotely from anywhere within the U.S.
For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week
All employees working remotely will be required to adhere to UnitedHealth Group’s Telecommuter Policy

Application Deadline

This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected
Job posting may come down early due to volume of applicants

Drug-Free Workplace

Candidates are required to pass a drug test before beginning employment.

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3d ago

Senior Product Designer, Monetization

Microsoft Redmond, WA

Redmond, WA

3d ago

$120k - $261k/yr Full time Agentic Ai Ai Agent Ai Agent Platform

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Job Description

Microsoft is seeking a Senior Product Designer focused on monetization to shape AI-powered consumer experiences across Microsoft Copilot, Bing, MSN, gaming, and other consumer surfaces. The role rethinks how product design is executed in the AI era by developing intelligent, recursive design systems and orchestrating AI agent workflows.

What you will do

Own and ship high-quality AI-powered consumer experiences from early exploration through implementation, sustaining a strong standard for interaction quality, visual craft, accessibility, trust, and customer impact.
Design systems that produce design outcomes. Build AI-powered workflows that generate, critique, evaluate, refine, and operationalize design work at scale.
Build and orchestrate teams of AI agents with specialized roles, tools, context, memory, and responsibilities. Define how agents delegate work, share context, evaluate outputs, incorporate feedback, and escalate key decisions to people.
Create recursive and learning design systems that improve continuously using research, experimentation, product signals, evaluation, and human feedback.
Develop custom tools, prototypes, automations, and agentic workflows using code, models, APIs, structured data, and emerging AI technologies.
Encode design principles, customer knowledge, interaction patterns, brand standards, and quality criteria into reusable systems so strong design decisions scale.
Design intelligent product behaviors that provide people with appropriate understanding and control, including intent, delegation, system status, uncertainty, correction, recovery, and human oversight.
Define quality for AI-driven experiences and build evaluation mechanisms to assess performance, surface failure modes, and drive system improvements.
Partner closely with Product, Engineering, Data Science, Research, Design, and business teams to connect customer needs to technical capabilities and influence underlying system requirements.
Identify repeatable human effort that can become scalable intelligence through automation, delegation, orchestration, or continuous learning.
Share tools, agents, patterns, and learnings so individual experimentation becomes reusable capability across the organization.

Requirements

Master’s Degree in Industrial Design, Product Design, Human Computer Interaction, User Experience, Interaction Design, or a related field AND 4+ years of experience in product or service design.
OR Bachelor’s Degree in a related field AND 5+ years of experience in product or service design.
OR equivalent experience, including demonstrated product or service design work or applying design thinking to solve problems.
A portfolio or body of work showing exceptional product, interaction, and visual design judgment, including experience shipping high-quality digital products.
Demonstrated hands-on experience building and orchestrating AI-powered workflows or agentic systems, including agents that use tools, context, delegation, evaluation, and feedback to complete complex work.
Evidence of personally building working AI-driven systems, tools, or experiences that materially changed how a problem is explored, designed, or solved. Conceptual familiarity alone is not sufficient.
Experience building multi-agent, recursive, or self-improving systems that evaluate outputs, incorporate feedback, and improve subsequent work.
Solid understanding of LLMs and generative AI, including prompting, context engineering, model and tool orchestration, structured outputs, retrieval, and evaluation.
Working knowledge of HTML, CSS, JavaScript/TypeScript, Python, or similar technologies, with the ability to independently create and modify functional prototypes and tools.
Experience working with APIs, structured data, models, tools, and external services to build end-to-end AI experiences.
Experience creating AI-powered design tooling, automation, or systems that expand the capabilities of other designers.
Solid understanding of evaluation for probabilistic systems, including defining quality criteria, identifying failure modes, and designing feedback and recovery mechanisms.
Exceptional interaction and visual design craft, paired with the ability to translate taste and quality into principles, constraints, prompts, evaluations, tools, and systems others can apply.
Demonstrated ability to establish direction in ambiguous technical spaces and turn emerging technology into understandable, useful, differentiated customer experiences.
Solid product judgment, connecting customer needs, technology, research, business context, and measurable outcomes.
Ability to explain complex AI systems clearly and build alignment across Product, Engineering, Research, Data Science, Design, and business leadership.

Location and work schedule

Location: Redmond, WA (onsite).
By applying, Redmond, WA candidates are required to be local to the greater Seattle metropolitan area and work in-office four days per week.
Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50-mile commute of a designated Microsoft office are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.

Compensation

Salary range: USD 119,800 - 261,000 per yearly.
The typical base pay range across the U.S. for this Product Design IC4 role is USD 119,800 - 234,700 per year.
Different ranges apply to specific locations within the San Francisco Bay area and New York City metropolitan area, with a base pay range of USD 160,200 - 261,000 per year.

Open period

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Technologies

HTML, CSS, JavaScript/TypeScript, Python, APIs

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