Jobs in the United States

25+ jobs

Save this search

Added just now
National Manager, Software Engineer
Toyota
Plano, TX
Collaborate closely with Product and Enterprise leaders to develop long term domain technology strategies for your org
Added 42 mins ago
W
Software engineer, generative AI
WRITER
San Francisco, CA · Seattle, WA · New York City, NY
- $146,000 to $240,000 USD / year
…AI while bringing a whole-systems mindset to architectural design. If you thrive on proactivity without red tape and love owning projects from proposal to deployment, you'll shape the…
Added 57 mins ago
AT
Product Line Manager - Partner Integrations and Hardware Solutions
Arlo Technologies, Inc.
Milpitas, CA
- $130,000 to $155,000 USD / year
Arlo is seeking a Product Line Manager to support the product management and execution of strategic service-provider and technology-partner solutions across SaaS, cloud services, connected…
Added 1 hour ago
Sr Cyber Engineer
HealthEquity
United States
Deep hands-on engineering experience with either Palo Alto Networks (PAN-OS, Panorama or Strata Cloud Manager, and GlobalProtect or Prisma Access) or Cloudflare (WAF, API Shield, Bot…
Added 2 hours ago
Manager - Quality Assurance (IT)
Wynn Resorts
Las Vegas, NV
This position ensures Wynn’s digital platforms and enterprise systems meet high standards for quality, performance, security, reliability, and guest experience.
Added 2 hours ago
RU
Product Manager/Technology - Mid-Level
Randstad USA
Roanoke, TX
- $59.18 to $62.18 USD / hour
Agile,Data Delivery,Google Cloud Platform (GCP),Excel,Microsoft Office Products,PowerPoint,scrum teams,digital platforms,multifaceted,attention to detail,Outstanding communication…
Added 2 hours ago
R
Deployment Strategist
ReadyOn
San Francisco, CA
- $95,000 to $150,000 USD / year
…enterprises. Landmark customers include a F250 food-service enterprise (300K employees across 16 countries; $7B+ annual labor spend, a F500 hotel group (250K+ employees; $5B+ annual labor…
Added 2 hours ago
GL
UX/UI DESIGNER
General Logistics Systems US, Inc.
Hayward, CA
- $95,000 to $110,000 USD / year
Reporting to the VP of IT Services and guided daily by the Product Manager, the UX/UI Analyst / Developer collaborates across the organization and provides technical direction to offshore…
Added 3 hours ago
Sr Product Manager, Resale Platform Experience
AEG Worldwide
Scottsdale, AZ · Los Angeles, CA
The ideal candidate combines strong product instincts with a deep technical foundation and a systems-modeling mindset. You are comfortable leading engineering teams through domain and data…
Added 3 hours ago
Sr Product Manager, Resale Platform Experience
AXS
Los Angeles, CA · Scottsdale, AZ
The ideal candidate combines strong product instincts with a deep technical foundation and a systems-modeling mindset. You are comfortable leading engineering teams through domain and data…
Added 3 hours ago
Sr Product Manager, Resale Platform Experience
AXS
Scottsdale, AZ · Los Angeles, CA
The ideal candidate combines strong product instincts with a deep technical foundation and a systems-modeling mindset. You are comfortable leading engineering teams through domain and data…
Added 5 hours ago
TI
Manager, Customer Master Platform
Trimble Inc.
Westminster, CO
- $122,500 to $168,400 USD / year
…data at a global scale? Trimble is looking for an experienced Manager, Customer Master Platform to lead the design, execution, and continuous evolution of our modern MDM ecosystem. You will…
Added 5 hours ago
S
Senior SIEM Data Engineer
SSB&T
Quincy, MA
- $120,000 to $202,500 USD / year
We are looking for a Senior SIEM Data Engineer reporting directly to the Cyber Data Engineering Manager. You will lead the design, onboarding, transformation, validation, and operational…
Added 5 hours ago
VPII, Data Engineering Manager
LPL Financial Corp
NY · Austin, TX
The VPII, Data Engineering Manager will lead a team and provide the day-to-day technical and delivery leadership needed to move complex programs forward. The leader will oversee LPL's…
Added 5 hours ago
Senior Software Engineer
INSPYR Solutions
Burbank, CA
Description: The Identity and Access Management Engineering team is hiring talented contributors for innovative projects that will help power and secure our businesses and guest…
Added 5 hours ago
Senior Software Engineer
INSPYR Solutions
Burbank, CA
Description: The Identity and Access Management Engineering team is hiring talented contributors for innovative projects that will help power and secure our businesses and guest…
Added 5 hours ago
Product Mgr, Third-Party Risk Management
Applied Materials
Austin, TX
The TPRM Product Manager – owns the enterprise TPRM technology product strategy and ensures the platform supports scalable, automated, and compliant third-party risk management processes.
Added 6 hours ago
Technical Program Manager III, AI Transformation, Google Cloud
Google
Mountain View, CA
We are driving an organizational transformation of program management by modernizing workflows, embedding AI at the core of our operations, and engineering 'AI first' platforms. To support…
Added 6 hours ago
Security Engineer II
LTL Lennar Homes of TX L&C LTD
Irving, TX
Support enterprise IAM solutions that collectively deliver single sign-on (SSO), multifactor authentication (MFA), identity governance and administration, and privileged access management…
Added 7 hours ago
Campus Undergraduate Summer Internship Program - 2027 Cybersecurity AI Engineer, Enterprise Technology Services- Phoenix, AZ
American Express
Phoenix, AZ
The Enterprise Technology Services organization partners with every part of the American Express business to power the company’s growth and innovation with trust and efficiency, and drive…
Added 8 hours ago
H
Senior Software Engineer, Partner Integrations
Horizon3
Remote, United States
- $199,000 to $235,000 USD / year
…CrowdStrike, SentinelOne, Splunk, ServiceNow, and dozens of other platforms are how customers turn NodeZero findings into action - they're not an afterthought, they're a core part of the…
Added 9 hours ago
C
Strategy & Solutions Lead
Causaly
New York, NY
- $180,000 to $240,000 USD / year
…integration patterns (e.g. with internal data lakes, knowledge management systems, and enterprise AI tooling), going beyond high-level positioning to a solution design both sides can build…
Added 9 hours ago
RH
Salesforce Engineering Manager
Robert Half
Remote, United States
- $170,000 to $200,000 USD / year
Ensure platforms align with enterprise expectations for architecture, security, integration, and data management.
Added 9 hours ago
Application Security Engineer
The Pennsylvania State University
San Diego, CA
Partner with developers and product owners to ensure secure design decisions, using approaches such as least privilege, secure defaults, zero‑trust principles, and defense‑in‑depth
Added 11 hours ago
Infra Cloud Delivery Manager
Bright Vision Technologies
Remote, United States
Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States.

ReadyOn

Deployment Strategist

San Francisco, CA, United States

$95,000 to $150,000 USD / year

Apply About employer

Applications open in a new tab.

Job details

Pay: $95,000 to $150,000 USD / year
Experience: 0-3 years of professional experience, with a degree in Computer Science, Economics, Business, Data Analytics, Mathematics, Engineering, or a similar analytical field.
Posting language: English
Posted: Nov 3, 2026

Original job description

Company Overview

ReadyOn.AI http://ReadyOn.AI is an AI-native Labor Operating System that is redefining how the world’s largest enterprises manage frontline labor. Born out of a Stanford AI Lab, the company applies advanced AI and market-design principles to one of the hardest optimization problems on earth: matching the world’s 2.7 billion frontline workers to the right shifts, in real time.

Frontline workers now expect the same flexibility and autonomy that gig platforms provide, while large employers face relentless pressure to meet aggressive labor-cost targets. ReadyOn bridges that divide with a system of action that predicts workforce demand, dynamically matches it to an employer’s supply of employees, and automates the thousands of staffing decisions made daily across complex, multi-site operations.

The platform is already proven at global scale, powering labor operations for several of the world’s largest enterprises. Landmark customers include a F250 food-service enterprise (300K employees across 16 countries; $7B+ annual labor spend, a F500 hotel group (250K+ employees; $5B+ annual labor spend), a F250 entertainment operator (75K employees; $4B+ labor spend). Across these deployments, ReadyOn has proven that scheduling was never the real problem - it was a symptom. The true challenge is how to match people and work dynamically at scale. ReadyOn solves this problem with an AI system of action that transforms labor from a fixed cost into a strategic advantage, reshaping how enterprises think about workforce design altogether.

Headquartered in San Francisco with 80 employees, ReadyOn grew 8x year-over-year revenue growth in 2025, driven by multiple seven-figure Fortune 250 enterprise deployments and a rapidly expanding pipeline.

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.

Deployment Strategist Role

Joining the Enterprise Partnerships team, the Deployment Strategist works across multiple customer deployments and alongside our Engagement Managers to turn complex labor environments into working ReadyOn deployments. You will contribute directly to live Fortune 500 implementations: building configurations, running data analyses, supporting training delivery, and joining customer engagements.

You will also build the structured product intelligence that helps Engineering and Product understand what is happening in the field. The best people in this role become the team’s institutional memory, and the role grows from deployment execution into product synthesis, analytical infrastructure, and solutions work. Strong performers move into Engagement Management, Solutions Engineering, or Product roles.

Ideal Candidates:

Learn by Doing: You get up to speed quickly in unfamiliar tools, data, and operating environments, and you are comfortable contributing to live Fortune 500 deployments from day one.
Turn Data into Decisions: You break down ambiguous operational questions, work directly with messy data, and move quickly from analysis to a clear recommendation.
Own Your Workstreams: You take ownership of multiple workstreams at once, work out what needs to happen next, and follow through without close supervision.
Build for Reuse: You look for the template, script, or playbook that makes the next deployment faster than the last, and you build it.
Be the Bridge: You explain technical and analytical findings clearly to engineers, product managers, and non-technical operators, and you turn what you see in the field into structured product feedback.

Responsibilities & Impact

Execute Client Deployments: Own defined deployment workstreams, including go-live preparation, configuration troubleshooting, and manager training. Lead relevant client calls and bring technical and analytical depth to customer conversations.
Design Configurations and Solutions: Translate employer data and rules into system-ready configurations. Own solution design details in pilots and early-stage deployments, and contribute to validation and UAT testing.
Turn Field Insight into Product Direction: Surface field-level product gaps to Product and Engineering, grounded in deployment data. Write feature requests informed by cross-customer pattern analysis.
Deliver Data Analysis and Reporting: Build deployment health dashboards, cross-customer operational analyses, and adoption and usage metrics. Run ad hoc data pulls for customer-facing deliverables such as board decks and QBR materials.
Automate and Reuse: Build reusable templates, scripts, playbooks, and analytical frameworks that make each subsequent deployment faster, and support the data warehouse and internal analytics infrastructure as it develops.

Your Background

0-3 years of professional experience, with a degree in Computer Science, Economics, Business, Data Analytics, Mathematics, Engineering, or a similar analytical field.
Analytical Problem-Solving and Data Fluency: You structure ambiguous operational questions into analyses, work comfortably with raw data (exports, API responses, unfamiliar schemas), and spot patterns across data sets and engagements.
Technical Orientation: You pick up new tools and schemas quickly, think in systems, and have basic comfort with code: you can read scripts, automate repetitive tasks, and debug configurations. You know enough about APIs, data sync, and webhooks to diagnose problems and talk with engineers.
Execution and Operational Rigor: You manage several concurrent workstreams, follow through without close supervision, and build repeatable processes that make the team more consistent.
Internal and External Communication: You distill complex information clearly on client calls and write summaries, feature requests, and status updates that stand on their own. You work well across engineering, product, and customer teams.
AI-assisted development tools: Claude Code, Cursor, nice to have: Python or BI tool experience
Nice to Have: Exposure to enterprise SaaS, workforce management, or labor operations.