Build and scale ReadyOn’s real-time backend decision layer. Design and implement decoupled TypeScript/Node.js (NestJS) services, work with Python components, optimize PostgreSQL schemas and queries, manage migrations and concurrency, integrate GraphQL, and collaborate with product, design, and AI teams to deliver high-impact production features. Onsite in San Francisco.
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.
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.
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.
- 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.
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.
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 [email protected] to verify any communication.
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.
Similar Jobs
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
Lead the architecture and development of scalable backend services and software products for GM Commercial Services. Design reliable APIs and systems, solve complex business and technical problems, improve engineering practices, and build high-value products. Collaborate with product, design, infrastructure, operations, and engineering teams while mentoring engineers. The role requires expertise in Java, Kotlin, or Python; SQL and NoSQL databases; cloud platforms; Databricks; and modern web technologies.
Top Skills:
AWSAzureCSSDatabricksGCPHTMLJavaJavaScriptKotlinNoSQLPythonReactSQL
Digital Media • Gaming • Information Technology • Software • Sports • Esports • Big Data Analytics
Leads architecture and hands-on development of scalable backend systems and APIs supporting real-time applications. Owns the engineering lifecycle, writes high-performance code, establishes testing and reliability practices, resolves production issues, guides technical roadmaps, collaborates cross-functionally, and mentors engineers. The role requires expertise in object-oriented backend development, distributed cloud systems, automated testing, system monitoring, and technical leadership.
Top Skills:
APIsAWSC#Cloud-Native ArchitecturesDistributed SystemsGoogle Cloud Platform (Gcp)Integration TestingJavaPerformance TestingUnit Testing
Logistics • Transportation • 3PL: Third Party Logistics
Architect and scale high-concurrency backend systems for Uber’s financial products. Lead technical direction, system architecture, code reviews, reliability, testing, and maintainability while partnering with product, design, and business leaders. Build globally scalable, secure financial transaction frameworks and mentor senior engineering teams. The role requires 10+ years of software engineering experience and expertise in Go, Java, or C++.
Top Skills:
Automated TestingC++Distributed SystemsGoJava
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
