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 – Engineering leader who scaled enterprise systems at Google, Yahoo, and AT&T • Dominic – Operator who optimized labor-intensive operations in 21 countries • Mohammad – 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. Hands-On Builders Leading AI Innovation ReadyOn is searching for senior engineers who love to code and ship impactful products. The core enterprise system is live; now the work is about sharpening, extending, and scaling real-time labor insights across thousands of sites and users. As an engineer here, you’re not layering AI onto the edges of a legacy tool, you’re building the core decision layer that orchestrates how thousands of shifts, locations, and workers come together every day. Our engineers roll up their sleeves across core engineering, AI, and platform teams to get things built. You’ll find TypeScript and Python everywhere, powering everything from core services to user-facing features. This is a place for people who launch, learn, and continuously make systems smarter in production. You’ll Thrive in This Role If You • Have 5+ years of backend engineering experience working with production systems. • Dive into ambiguity, excel in hands-on, high-impact environments, and drive solutions without waiting for perfect specs. • Care about clean system design, scalability, and architectural elegance and aren’t afraid to rethink the usual approaches. • Enjoy close collaboration with product, design, and AI research teams to deliver new experiences customers use. • Focus on business outcomes, not just technical output, and love finding solutions to real problems. • Are fluent in TypeScript and NestJS (or other Node.js frameworks) and know how to design decoupled services and robust enterprise interfaces; GraphQL experience is a major plus. • Bring deep expertise in PostgreSQL: schema design, query optimization, migration management, and handling concurrency in large-scale environments. • (Bonus) Have hands-on experience with conflict resolution in collaborative systems, graph processing, feature stores, or real-time coordination tools. • If you’re looking for predictability and structure, this probably isn’t the place for you - we thrive in fast-changing, flexible environments driven by initiative, not routine. This Might Not Be the Right Role If You • Prefer clear-cut structure, established processes, or state-of-the-art internal operating systems; we embrace rapid change and flexibility. • Want a traditional corporate setting with standard roles, well-defined career ladders, and steady routines. • Rely on top-down guidance, detailed documentation, or formal onboarding; autonomy and self-direction are critical here. • Crave predictability or highly specialized functions; we reward outcome-driven effort, learning, and the ability to flex between roles rather than sticking to rigid paths. Interview Process • Screening call with Talent (Recruiter) • 1:1 interview with Founder/CTO, Reza Iranmanesh (hiring manager) • Technical panel: cross-functional technical interview (virtual) • Onsite interview with direct team and select founding members 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. You’ll be required to work onsite, Monday through Friday, to help shape our culture, accelerate learning, and build the foundational technology that will define ReadyOn’s future. Compensation We offer a highly competitive salary range for this position: $180,000–$250,000 (San Francisco-based candidates). Final compensation will be determined based on your skills, experience, and geographic location. In addition to salary, this role may include comprehensive benefits, bonuses, commissions, and a meaningful equity stake in ReadyOn. 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. EEO Statement 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.

Requirements

Must-haves

Transform How Frontline Work Runs
Who's Building It
Reza – Engineering leader who scaled enterprise systems at Google, Yahoo, and AT&T
Dominic – Operator who optimized labor-intensive operations in 21 countries
Mohammad – 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.
Hands-On Builders Leading AI Innovation
You’ll Thrive in This Role If You
Have 5+ years of backend engineering experience working with production systems.
Dive into ambiguity, excel in hands-on, high-impact environments, and drive solutions without waiting for perfect specs.
Care about clean system design, scalability, and architectural elegance and aren’t afraid to rethink the usual approaches.
Enjoy close collaboration with product, design, and AI research teams to deliver new experiences customers use.
Focus on business outcomes, not just technical output, and love finding solutions to real problems.
Are fluent in TypeScript and NestJS (or other Node.js frameworks) and know how to design decoupled services and robust enterprise interfaces; GraphQL experience is a major plus.
Bring deep expertise in PostgreSQL: schema design, query optimization, migration management, and handling concurrency in large-scale environments.
If you’re looking for predictability and structure, this probably isn’t the place for you - we thrive in fast-changing, flexible environments driven by initiative, not routine.
This Might Not Be the Right Role If You
Prefer clear-cut structure, established processes, or state-of-the-art internal operating systems; we embrace rapid change and flexibility.
Want a traditional corporate setting with standard roles, well-defined career ladders, and steady routines.
Rely on top-down guidance, detailed documentation, or formal onboarding; autonomy and self-direction are critical here.
Crave predictability or highly specialized functions; we reward outcome-driven effort, learning, and the ability to flex between roles rather than sticking to rigid paths.

Nice-to-haves

(Bonus) Have hands-on experience with conflict resolution in collaborative systems, graph processing, feature stores, or real-time coordination tools.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aitypescriptpythonnode.jsgraphql

Platform: gem
Effort: medium