Senior Service Designer (AI Ecosystems & Value Realization)
Senior Service Designer (AI Ecosystems & Value Realization)
Role Overview
As a Senior Service Designer, you will architect the end-to-end service journeys where humans and AI agents collaborate, directly translating AI investments into measurable business value. Your mission is to maximize AI agent containment rates, reduce organizational cost-to-serve, and accelerate time-to-market for AI initiatives, all while maintaining high customer satisfaction (CSAT) and brand trust.
Key Business Value Impact Areas
Maximize AI Return on Investment (ROI): Design high-efficiency service blueprints that strategically deploy autonomous AI agents to automate high-volume, low-complexity tasks, significantly lowering operational overhead.
Protect Retention & Reduce Containment Leakage: Architect robust fallback and escalation mechanisms. By ensuring AI "fails gracefully," you prevent customer churn and ensure expensive human agents are routed only to high-value, complex cases.
Drive Adoption and Conversion Metrics: Design intuitive, transparent AI touchpoints that overcome user skepticism, accelerating feature adoption, boosting conversion rates, and improving Net Promoter Scores (NPS).
Compress Time-to-Market: Utilize advanced GenAI synthesis and simulation tools to shrink traditional research-to-prototype design cycles by 40%, lowering R&D costs and enabling faster market deployment of AI features.
Scale Design Velocity: Build reusable frameworks and self-service service design toolkits, empowering product and engineering teams to self-assess service risks and launch AI features without operational bottlenecks.
Targeted Business Outcomes (Key Performance Indicators)
Deflection & Containment Rates: Measurable increase in successfully automated resolutions without a corresponding drop in customer satisfaction.
Cost-to-Serve Reduction: Proven decrease in customer support operational costs through optimized hybrid routing.
Average Handle Time (AHT): Reduction in total resolution time for complex issues through seamless AI-to-human handoffs.
Feature Adoption Velocity: Accelerated time-to-value for newly launched enterprise AI capabilities.
Key Responsibilities
Design Hybrid Ecosystems: Create target-state service blueprints that choreograph interactions across customers, frontline staff, and backend AI agents.
Architect AI Failure & Escalation Paths: Proactively design for probabilistic technology; build robust routing mechanisms and safety nets for when an AI model hallucinates or gets stuck.
Preserve Customer Agency & Trust: Define design patterns that explicitly convey AI uncertainty and give users a clear, immediate path to human intervention.
Accelerate with AI Workflows: Leverage advanced GenAI tools (LLMs, prompt-based data analysis) to instantly synthesize research data and model service simulations.
Enable Cross-Functional Teams: Build reusable frameworks and tooling that allow product managers and operations teams to evaluate the service implications of AI prior to code deployment.
Core Requirements
Experience: 5+ years leading service design or product strategy, with a proven track record of tying design interventions to hard business metrics (revenue, retention, efficiency).
AI & Operational Fluency: Deep, practical understanding of generative AI capabilities, agentic design principles, conversational UI, multi-modal interfaces, and backend operational cost structures.
Systems Thinking: Proven ability to map front-end user touchpoints to intricate back-office operational realities, data pipelines, and business logic.
Data-Driven Mindset: Ability to balance qualitative user insights with quantitative business analytics to prioritize high-impact design changes.
Influence Without Authority: Exceptional facilitation skills with a track record of driving cross-functional alignment across engineering, product, and operations
Salary Range-$145-$155k
Role Overview
As a Senior Service Designer, you will architect the end-to-end service journeys where humans and AI agents collaborate, directly translating AI investments into measurable business value. Your mission is to maximize AI agent containment rates, reduce organizational cost-to-serve, and accelerate time-to-market for AI initiatives, all while maintaining high customer satisfaction (CSAT) and brand trust.
Key Business Value Impact Areas
Maximize AI Return on Investment (ROI): Design high-efficiency service blueprints that strategically deploy autonomous AI agents to automate high-volume, low-complexity tasks, significantly lowering operational overhead.
Protect Retention & Reduce Containment Leakage: Architect robust fallback and escalation mechanisms. By ensuring AI "fails gracefully," you prevent customer churn and ensure expensive human agents are routed only to high-value, complex cases.
Drive Adoption and Conversion Metrics: Design intuitive, transparent AI touchpoints that overcome user skepticism, accelerating feature adoption, boosting conversion rates, and improving Net Promoter Scores (NPS).
Compress Time-to-Market: Utilize advanced GenAI synthesis and simulation tools to shrink traditional research-to-prototype design cycles by 40%, lowering R&D costs and enabling faster market deployment of AI features.
Scale Design Velocity: Build reusable frameworks and self-service service design toolkits, empowering product and engineering teams to self-assess service risks and launch AI features without operational bottlenecks.
Targeted Business Outcomes (Key Performance Indicators)
Deflection & Containment Rates: Measurable increase in successfully automated resolutions without a corresponding drop in customer satisfaction.
Cost-to-Serve Reduction: Proven decrease in customer support operational costs through optimized hybrid routing.
Average Handle Time (AHT): Reduction in total resolution time for complex issues through seamless AI-to-human handoffs.
Feature Adoption Velocity: Accelerated time-to-value for newly launched enterprise AI capabilities.
Key Responsibilities
Design Hybrid Ecosystems: Create target-state service blueprints that choreograph interactions across customers, frontline staff, and backend AI agents.
Architect AI Failure & Escalation Paths: Proactively design for probabilistic technology; build robust routing mechanisms and safety nets for when an AI model hallucinates or gets stuck.
Preserve Customer Agency & Trust: Define design patterns that explicitly convey AI uncertainty and give users a clear, immediate path to human intervention.
Accelerate with AI Workflows: Leverage advanced GenAI tools (LLMs, prompt-based data analysis) to instantly synthesize research data and model service simulations.
Enable Cross-Functional Teams: Build reusable frameworks and tooling that allow product managers and operations teams to evaluate the service implications of AI prior to code deployment.
Core Requirements
Experience: 5+ years leading service design or product strategy, with a proven track record of tying design interventions to hard business metrics (revenue, retention, efficiency).
AI & Operational Fluency: Deep, practical understanding of generative AI capabilities, agentic design principles, conversational UI, multi-modal interfaces, and backend operational cost structures.
Systems Thinking: Proven ability to map front-end user touchpoints to intricate back-office operational realities, data pipelines, and business logic.
Data-Driven Mindset: Ability to balance qualitative user insights with quantitative business analytics to prioritize high-impact design changes.
Influence Without Authority: Exceptional facilitation skills with a track record of driving cross-functional alignment across engineering, product, and operations
Salary Range-$145-$155k