---
title: 'Senior Software Engineer - Backend at readyon.ai'
canonical: 'https://feeny.ai/job/senior-software-engineer-backend-readyon-ai-san-francisco-tn562z617mct'
type: 'job'
last_seen: '2026-09-05'
---

# Senior Software Engineer - Backend at readyon.ai

- **Company:** readyon.ai
- **Location:** San Francisco, CA
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2025-11-06
- **Last confirmed live:** 2026-09-05
- **Apply:** https://jobs.gem.com/careers-readyon/am9icG9zdDp8K6RBZewtHplcygjTo3F8

## 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.

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](https://www.linkedin.com/in/reza-iranmanesh-13462b30/) (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.

## 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. [builtin.com](https://builtin.com/company/readyon)

## Other roles at readyon.ai

- [Lead UX Designer](https://feeny.ai/job/lead-ux-designer-readyon-ai-san-francisco-58rk7y32k4h5) — San Francisco, CA
- [Senior Design Engineer](https://feeny.ai/job/senior-design-engineer-readyon-ai-san-francisco-9whkf4h515ba) — San Francisco, CA
- [Principal Data Engineer](https://feeny.ai/job/principal-data-engineer-readyon-ai-san-francisco-dp1jx9p7d1be) — San Francisco, CA
- [Senior Software Engineer - Frontend](https://feeny.ai/job/senior-software-engineer-frontend-readyon-ai-san-francisco-hpzf73g7qvrc) — San Francisco, CA
- [Senior Software Engineer - Backend](https://feeny.ai/job/senior-software-engineer-backend-hinge-health-san-francisco-k0ystmcztavr) — San Francisco, CA
- [Senior Software Engineer - Backend](https://feeny.ai/job/senior-software-engineer-backend-encord-london-3afsyr22tbxt) — London, United Kingdom
- [Senior Software Engineer - Backend](https://feeny.ai/job/senior-software-engineer-backend-motive-san-francisco-s61ps2vq1x86) — San Francisco, CA / Seattle, WA
- [Senior Software Engineer - Backend](https://feeny.ai/job/senior-software-engineer-backend-lvt-american-fork-utah-thmr9t8kepha) — American Fork Utah, United States
- [Senior Software Engineer - Backend](https://feeny.ai/job/senior-software-engineer-backend-arive-san-ramon-twgg33maz9aa) — San Ramon, CA
- [Senior Software Engineer - Backend](https://feeny.ai/job/senior-software-engineer-backend-veeva-systems-toronto-xbhwh7pe4d38) — Toronto, Canada