Careers Readyon
Senior Software Engineer - Backend
San Francisco, USA · Senior
Sponsorship not specified$180k-$250kDetected 258 days ago
TypeScriptPythonNode.jsPostgreSQLGraphQLAgentic AIForecastingExcelResearchCollaborationProblem SolvingDemand Planning
About the role
- 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.
- Staffing is not a scheduling problem; it is a real-time supply-demand orchestration problem.
Responsibilities
- 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.
- 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.
- 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.
Nice to have
- 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.
- 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.
- Focus on business outcomes, not just technical output, and love finding solutions to real problems.
Compensation
- $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.
Benefits
- 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.
- 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.
- In addition to salary, this role may include comprehensive benefits, bonuses, commissions, and a meaningful equity stake in ReadyOn.
Company info
- ReadyOn was founded to reject that paradigm.
- Who's Building It AI is not a bolt-on feature in our platform.
- 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).
- We are proud to be an
Equal opportunity
- EEO Statement ReadyOn is committed to building a diverse and inclusive workplace.
- We are proud to be an Equal Opportunity Employer.
- Equal Opportunity Employer.
Apply directly at Careers Readyon →Create a free account for alerts like thisView Careers Readyon immigration profile
This listing is sourced directly from Careers Readyon's careers page and normalized into a canonical job model.