--- title: 'Lead UX Designer at readyon.ai' canonical: 'https://feeny.ai/job/lead-ux-designer-readyon-ai-san-francisco-58rk7y32k4h5' type: 'job' last_seen: '2026-09-12' --- # Lead UX Designer at readyon.ai - **Company:** readyon.ai - **Location:** San Francisco, CA - **Compensation:** $170k–$215k - **Employment:** full-time - **Work type:** onsite - **Posted:** 2026-04-08 - **Last confirmed live:** 2026-09-12 - **Apply:** https://jobs.gem.com/careers-readyon/am9icG9zdDqWA18SUTAATPsVfI8UST_e ## Job description Transform How Frontline Work Runs Enterprises struggle to manage hundreds of millions of dollars in frontline labor spend due to decades-old software and manual processes, creating massive, avoidable costs. Frontline labor often represents 40% of the P&L, yet the systems managing this $3 trillion market were built for static schedules and limited flexibility. ReadyOn was founded to reject that paradigm. Staffing is not a scheduling problem; it is a real-time supply–demand orchestration problem. ReadyOn is an AI-native labor operating system, built from the ground up for AI agents to perform real-time labor optimization—much like ridesharing platforms that match drivers and riders in real time, but applied to frontline labor instead of fixed, one-size-fits-all schedules. Who’s Building It AI is not a bolt-on feature in our platform. Every decision, from demand forecasting to shift assignment, flows through an adaptive, autonomous decision layer that learns from operational data and continuously optimizes for cost, compliance, and worker satisfaction. Behind that system is a founding team of experts in labor markets, enterprise software, and AI-enabled platforms: - [Reza](https://www.linkedin.com/in/reza-iranmanesh-13462b30/) – Engineering leader who scaled enterprise systems at Google, Yahoo, and AT&T - [Dominic](https://www.linkedin.com/in/dom-mirabile/) – Operator who optimized labor-intensive operations in 21 countries - [Mohammad](https://www.linkedin.com/in/mohammad-akbarpour-46773127/) – Stanford professor and leading expert in algorithmic market design ReadyOn has already proven product–market fit with multiple multi-million-dollar customers, consistent expansion within existing accounts, and measurable ROI that moves stock prices. ## About the role Managers today spend a significant part of their day overseeing highly repetitive and tedious tasks that prevent them from focusing on more crucial work. With the emergence of AI and agentic workflows, we're in a unique position to not just improve the status quo but redefine it. AI is central to ReadyOn's vision to transform how companies hire, schedule, and manage their workforce. We're looking for a Lead UX Designer to help shape the experience of our core platform and AI workflows. You'll embed within small, fast-moving pods where the goal is to ship high-quality work quickly and iteratively. This role has two equally important dimensions: reducing complexity and friction across existing platform experiences, and building and maintaining the component and design system foundation that enables the team to prototype and ship with speed. You'll work hand-in-hand with product and engineering to shape user experiences from 0 --> 1. This role is highly autonomous and hands-on, and requires someone who can hold the bar on craft, push back constructively when execution falls short, and move fast without sacrificing quality. You will report formally to our CTO/Co-Founder. ## What you’ll do - Drive end-to-end design quality across ReadyOn's core operator and worker experiences, from ambiguous problem definition through to hi-fi implementation - Prototype rapidly using AI-enabled and emerging tools, designing inside the product environment where needed - Evolve ReadyOn's design system, establishing component standards and AI interaction patterns that scale across the product - Partner closely with product and engineering to set and hold the bar on interaction quality, pushing back when execution falls short of the design intent - Co-lead user research interviews, usability testing, and synthesize insights to innovative designs - Consider all dimensions of an experience, including copy, flows, edge cases, and business context, and model this thoroughness for the broader team ## What we’re looking for - 6+ years of product design experience at a SaaS or B2B technology company; senior IC experience required - Deep UX expertise with a proven ability to work from requirements, run user research, and make principled design decisions under ambiguity - A portfolio demonstrating exceptional interaction design craft, including complex workflows, use of component systems, and polished visual execution - Willingness to work hands-on with emerging tools, including installing, configuring, and designing inside the software environment itself - Fluency in Figma, including component and design system work - Strong communication and the confidence to push back constructively when quality is at risk - A track record of owning design quality end-to-end, staying through implementation to get it right rather than handing off and moving on - Ability to work in-person with our team in downtown San Francisco ## Nice to have - Experience designing for agentic AI or automation-heavy workflows - Familiarity with designing for data-dense and complex platforms - Experience with workforce management, scheduling, or other operationally complex B2B products Location: Why In-Person Matters As a high-growth startup tackling complex, industry-defining challenges, in-person collaboration is essential to our success. Being together in our San Francisco office enables rapid decision-making, creative problem-solving, and strong team trust — critical in this formative phase. We work together in-office five days a week, with 25 remote days per year available on an honor system. You'll be part of building the culture, the technology, and the team from the ground up. Potential Recruitment Fraud Memo Recruiting at ReadyOn is handled directly by our in-house team or verified hiring partners. We will never request payment, bank details, or confidential personal information during our recruitment process. If you are contacted by someone claiming to represent ReadyOn and you are concerned about the legitimacy of the interaction, please contact us at careers@readyon.ai to verify any communication. ## Equal Opportunity Employer ReadyOn is committed to building a diverse and inclusive workplace. We are proud to be an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. Equity & Benefits In addition to salary, this role includes comprehensive benefits, and may include bonuses & a meaningful equity stake in ReadyOn. ## About readyon.ai ## Company Overview - **One-liner**: ReadyOn builds an AI-native labor operating system that continuously matches supply and demand for frontline workforce deployment. - **Entity Type**: Private (Series A) - **Headquarters**: San Francisco, California, United States - **Founded**: 2023 (conflicting reports list 2022; company site states 2023) [readyon.ai/about](https://www.readyon.ai/about) - **Founders**: Dominic Mirabile (CEO), Reza Iranmanesh (CTO), Mohammad Akbarpour (Chief Scientist) [readyon.ai/about](https://www.readyon.ai/about) ## Core Business - **Primary industry**: Enterprise Labor Technology / HR Tech - **Target customers**: B2B, Enterprise – specifically frontline enterprises in industries like retail, hospitality, healthcare, logistics, and manufacturing. - **Mission**: “We’re building the system that runs labor” – helping enterprises continuously and intelligently deploy the right workers to the right place at the right time. ## Products & Services - **ReadyOn Labor Operating System** (SaaS): An AI-driven platform that ingests labor signals from financial systems, HCM, demand planning, time & attendance, and contingent labor sources. It predicts labor needs, matches supply to demand continuously, and acts on exceptions in real time. The system automates shift creation, ranks workers by fit and availability, and provides managers with insights to reduce labor cost and improve schedule flexibility. [readyon.ai/about](https://www.readyon.ai/about) ## Market Standing - **Valuation/Market Cap**: Not publicly disclosed - **Key Metric**: Total funding raised – over $30M (Series A, announced on careers page) [readyon.ai/careers](https://www.readyon.ai/careers) - **Notable Investors/Partners**: Venrock, Floodgate, Cowboy Ventures, Construct Capital [readyon.ai/careers](https://www.readyon.ai/careers) - **Growth Signals**: 57 employees (as of late 2024/early 2025) with 222.7% year-over-year headcount growth; presence in 80+ global markets; partnerships with “market-leading and most admired frontline enterprises” [linkedin.com](https://linkedin.com/company/readyon-ai) [readyon.ai/about](https://www.readyon.ai/about) ## Competitive Advantages - **Deep academic foundation**: Co-founded by Stanford economist Mohammad Akbarpour, with Susan Athey (Stanford Professor) as Chief AI Architect and Nobel laureate Paul Milgrom as Advisor. The company’s core insight treats labor coordination as a continuous matching problem, not a static scheduling problem, giving it a unique intellectual moat. [readyon.ai/about](https://www.readyon.ai/about) - **AI-native design**: Built from the ground up to use AI models and agents for real-time, continuous labor matching, handling complex constraints and exceptions. - **Enterprise-grade infrastructure**: Reads signals from multiple enterprise systems (financial, HCM, time & attendance, etc.) and acts proactively, making it a system of action rather than a passive reporting tool. ## Strategic Focus - **Current priorities**: Expanding the platform’s ability to continuously match labor supply to demand across large, distributed frontline enterprises. Deepening integrations with existing enterprise systems and scaling AI capabilities to handle more complex labor signals. Growing headcount and market presence globally. [readyon.ai/about](https://www.readyon.ai/about) ## Why Work Here - **Culture & values**: Emphasizes humility, ownership, lifting others, and simplicity. The team is described as “senior, spun out of Stanford, startups, and big tech.” [readyon.ai/careers](https://www.readyon.ai/careers) - **Work model**: The San Francisco headquarters is onsite, but the workforce is distributed across 8 countries (U.S., Pakistan, Brazil, Finland, Bolivia, U.K., Philippines, Mexico), suggesting a hybrid or remote-friendly environment for certain roles. [linkedin.com](https://linkedin.com/company/readyon-ai) - **Impact**: Described as “one of the highest-impact problems in the enterprise” and “one of the most consequential real-world applications of AI.” Employees are told they will “take real ownership” and build systems that matter in the real economy. [readyon.ai/about](https://www.readyon.ai/about) - **Engineering culture**: 55% of employees are in technical roles; the team is senior-heavy (27% senior, 10% manager). Notable alumni from Stanford, top tech companies, and startups. [linkedin.com](https://linkedin.com/company/readyon-ai) ## Sources 1. [readyon.ai/careers](https://www.readyon.ai/careers) 2. [readyon.ai/about](https://www.readyon.ai/about) 3. [linkedin.com](https://linkedin.com/company/readyon-ai) 4. 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