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Lead to Senior Level Piping Designer, Industrial and Pharmaceutical
AtkinsRealis USA Inc.
United States
- $60 to $75 USD / hour
Work with in-house resources or 3rd party firms that provide 3D scanning services and assist with the necessary point cloud conversions for use in 3D model development.
Added just now
Senior Manager of Electrical Engineering, Compute & Sensing
Apptronik
Austin, TX
Apptronik is seeking a visionary Senior Manager of Electrical Engineering to lead the team responsible for the "nervous system" and "brain" of our next-generation humanoid robots. In this…
Added 1 min ago
Lead Backend Engineer
Wawa Inc. (210515330)
United States
Coach and mentor other team members in their development of IT Applications. Serve as a resource and knowledge expert to Applications Development Manager in the project areas.
Added 4 mins ago
Technical Director, Transportation Project Manager
WSP
South Jordan, UT
WSP is seeking a Technical Director, Transportation Project Manager to join our Salt Lake City Transportation Team. Be involved in projects with our Civil Engineering Team and be a part of…
Added 7 mins ago
Senior Licensing Associate
The University of Central Florida Board of Trustees
Orlando, FL
…research activities. Coordinates IP matters between contract manager, general counsel, principal investigator, and external sponsor/external…
Added 8 mins ago
Senior Product Manager - Zero-Day Protection
Cloudflare
Austin, TX · NY
As Senior Product Manager for Zero-Day Protection, your goal is to help protect more than 25% of the Internet from HTTP-exploitable vulnerabilities and attacks. You will own the strategy,…
Added 10 mins ago
Engineering Manager, Streaming Infrastructure
Airbnb
United States
DMT is made up of four teams: Data Frameworks, Ingestion, Realtime Data Infrastructure, and Schema Management. We’re hiring an Engineering Manager to lead Schema Management.
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Senior Software Engineer, Connectivity
Phaidra
Remote, United States
7+ years of professional software engineering experience.
Added 11 mins ago
Onsite Engineering Manager
Anterior
New York City, NY
- You have 8+ years in software engineering, including 2+ years as an engineering manager responsible for hiring, performance, and career development.
Added 12 mins ago
Senior Manager, Data Engineering & AI
CVS Health
Irving, TX · Wellesley, MA
The Senior Manager, Data Engineering & AI is both a people leader and a technical leader who leads from the front. This person manages a team of data and software engineers (employees and…
Added 13 mins ago
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Senior Manager, Regulatory Affairs
Danaher
Vista, CA
- $155,000 to $165,000 USD / year
The Senior Manager, Regulatory Affairs is responsible for developing and executing global regulatory strategies for high-complexity hardware and software products including but not limited…
Added 14 mins ago
Sr. Test Engineer (Demo)
Inabia Software & Consulting Inc.
Remote, United States
…contribute to our commitment to delivering high-quality, robust software…
Added 17 mins ago
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Lead Principal Product Manager
Oracle
San Francisco, CA · Seattle, WA
- $119,200 to $264,100 USD / year
…applications, and results. We are seeking a Senior Principal Product Manager to define product direction and deliver capabilities that address strategic customer needs while establishing a…
Added 17 mins ago
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Lead Principal Program Manager
Oracle
Nashville, TN
- $114,600 to $234,600 USD / year
Experience managing program roadmaps, dependencies, risks, and delivery across technical and business teams, including analytics or software development lifecycles.
Added 17 mins ago
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Senior Manager, Platform Software Engineering
Oracle
Nashville, TN
- $132,000 to $306,400 USD / year
We are seeking an experienced Senior Manager of Software Development to lead and grow a high-performing engineering team focused on building agentic AI solutions that make developers 10x…
Added 17 mins ago
Product Manager
Remote, United States
You will work with Sales, Marketing, Customer Success, Finance, Design, and Engineering through the full product lifecycle: discovery, roadmap planning, delivery, launch, and adoption. You…
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Quality System Specialist- Labeling
MicroAire Surgical Instruments LLC
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The Labeling Specialist manages the development, maintenance and controlled implementation of medical device product and packaging labeling support to regulatory compliance, new product…
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Senior Technical Scrum Master and Agile Coach
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Sterling, VA · Sterling
3+ years’ experience in software development, software engineering and/or IT system and network architecture supporting enterprise-wide IT solutions
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Account Manager
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Technical Program Manager, Platform Engineering
Modular
Remote, United States
, we’re on a mission to revolutionize AI infrastructure by systematically rebuilding the AI software stack from the ground up. Our team, made up of industry leaders and experts, is building…
Added 23 mins ago
Staff Technical Program Manager - AI/ML
Sony Interactive Entertainment (SIE)
Austin, TX
Do you want to join an AI/Machine Learning Engineering team committed to delivering the PlayStation experience for millions of users? The work we do delivers impactful insights to build an…
Added 23 mins ago
Staff Technical Program Manager - AI/ML
Sony Interactive Entertainment (SIE)
San Mateo, CA
Do you want to join an AI/Machine Learning Engineering team committed to delivering the PlayStation experience for millions of users? The work we do delivers impactful insights to build an…
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Full-stack Engineer 5 (Senior Manager, IC) Cloud Operations Resilience Engineering)
Capital One
McLean, VA
At least 6 years of experience in software engineering (Internship experience does not apply)
Added 23 mins ago
Senior Manager, Data Science - Model Risk
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Richmond, VA · McLean, VA
…making better decisions with models. We use our statistics, software engineering, and business expertise to drive the best outcomes in both Risk Management and the Enterprise. We understand…
Added 23 mins ago
Senior Manager, Data Science - Model Risk
Capital One
McLean, VA · Richmond, VA · NY · Riverwoods, IL
…making better decisions with models. We use our statistics, software engineering, and business expertise to drive the best outcomes in both Risk Management and the Enterprise. We understand…

ReadyOn

Deployment Strategist

San Francisco, CA, United States

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

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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.