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Remote Software Renewal Jobs in Arizona (NOW HIRING)

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Remote Software Renewal information

What is a remote software renewal specialist?

A Remote Software Renewal Specialist is a professional responsible for managing and processing software subscription renewals for clients or customers, all while working remotely. Their duties typically include reaching out to clients, providing renewal quotes, answering questions about products or services, and ensuring a seamless transition for continued software usage. They play a crucial role in maintaining customer relationships and securing recurring revenue for software vendors. Strong communication skills, sales acumen, and familiarity with CRM or renewal management tools are often required for the role.

What are the key skills and qualifications needed to thrive as a remote software renewal specialist?

To excel as a Remote Software Renewal Specialist, you need strong sales acumen, attention to detail, and experience with contract management or customer retention, often supported by a bachelor's degree in business or a related field. Familiarity with CRM platforms like Salesforce, renewal management tools, and proficiency in Microsoft Office are commonly required. Outstanding communication, negotiation, and organizational skills help build rapport with clients and manage multiple renewal cycles effectively. These competencies are essential for maximizing client retention, ensuring revenue continuity, and maintaining positive long-term customer relationships.

What are some common challenges faced by professionals in remote software renewal roles, and how can they be addressed?

Professionals in Remote Software Renewal roles often encounter challenges such as maintaining clear communication with clients across different time zones, handling objections or concerns about contract value, and staying organized while managing a high volume of renewal accounts. To address these challenges, it's important to leverage CRM tools for tracking client interactions, schedule regular check-ins to build rapport, and collaborate closely with sales, support, and product teams to ensure a seamless renewal process. Proactively anticipating client needs and being responsive to inquiries can also help build trust and facilitate successful renewals.

What is the difference between Remote Software Renewal vs Remote Software Support?

AspectRemote Software RenewalRemote Software Support
Primary FocusRenewing software licenses and subscriptionsProviding technical assistance and troubleshooting
Required CredentialsKnowledge of licensing, subscription managementTechnical skills, troubleshooting certifications
Work EnvironmentCustomer account management, renewal processesTechnical support, issue resolution
Industry UsageIT, SaaS companies, software vendors

Remote Software Renewal primarily involves managing and renewing software licenses and subscriptions, ensuring clients maintain access. In contrast, Remote Software Support focuses on assisting users with technical issues and troubleshooting. While both roles require technical knowledge, renewal roles emphasize account management and subscription expertise, whereas support roles demand problem-solving skills. Understanding these differences helps job seekers identify the right career path within the software industry.

What are popular job titles related to Remote Software Renewal jobs in Arizona?

For Remote Software Renewal jobs in Arizona, the most frequently searched job titles are:

What cities in Arizona are hiring for Remote Software Renewal jobs?

Cities in Arizona with the most Remote Software Renewal job openings:

Senior React / Next.js Engineer (Contract to Hire) - Remote Hybrid - Arizona or SO. California Re...

Entisys Solutions Inc

Phoenix, AZ • On-site, Remote

$90 - $100/hr

Contractor

Posted 23 days ago


Job description

Description

Rate: $90 - $100/ Hour - Depending on Experience


Note: MUST be a US Citizen or Green Card Holder



***NO RECRUITING AGENCIES***

***NO C2C***

***NO Sponsorship available***



About e360's App Engineering



e360 is a 30+ year privately-owned company with a focus on our people, our clients and leading technologies. e360's Cloud Services Division is a rapidly growing business helping clients manage their Cloud technology. Our team is comprised of leaders that focus on delivering innovative consulting solutions that leverage leading and emerging technologies.

We are a dynamic and entrepreneurial consulting company that offers ample opportunities for professional development and growth suited to each individual's personal and professional goals. We offer internal, and subsidize external, trainings, and reimburse the cost of technology certification exams and / or renewals. Our family-founded business sees work life fit as a core value that all of our practitioners practice - the value you add to your team is more important than the time that you 'clock in and out.' You will have numerous opportunities to interface with senior leadership, and benefit from mentorship internally or through introductions through external networks to support your growth.



Description



The Senior React / Next.js Engineer is a hands-on consultant responsible for designing and delivering scalable enterprise web applications.

This role requires advanced experience with React, Next.js, TypeScript, API integration, and modular application architecture. The engineer will also support Intelligent Document Processing solutions and should understand how Python, AI, and Large Language Models can be used in document workflows.


What You'll Do

Design, build, test, and deploy enterprise applications using React, Next.js, and TypeScript.
Create modular, reusable, and maintainable application architectures.
Build shared components, hooks, services, utilities, and design-system patterns.
Design scalable approaches for routing, state management, data fetching, forms, validation, and error handling.
Integrate applications with APIs, authentication systems, enterprise data sources, and document-processing services.
Build document upload, review, correction, approval, and exception-management experiences.
Use Python to support document ingestion, extraction, validation, transformation, and integration.
Apply AI and LLM capabilities to document classification, extraction, summarization, and validation where appropriate.
Improve existing codebases by reducing duplication, tight coupling, inconsistent patterns, and technical debt.
Implement automated testing, CI/CD, logging, monitoring, security, and performance practices.
Own technical workstreams and provide design reviews, code reviews, and mentoring.
Participate in client discovery, requirements analysis, demonstrations, deployment, and knowledge transfer.

Requirements


Advanced experience with React, Next.js, TypeScript, and modern JavaScript.
Strong understanding of React composition, hooks, rendering, and component design.
Experience with Next.js App Router, server and client components, route handlers, middleware, and server-side rendering.
Demonstrated ability to design modular enterprise applications with clear separation of concerns.
Experience building reusable component libraries and working with design systems.
Experience integrating REST APIs, backend services, and third-party platforms.
Experience with state-management and data-fetching tools such as Redux Toolkit, Zustand, TanStack Query, or similar technologies.
Experience building complex forms, validation workflows, and data-review interfaces.
Experience with authentication and authorization using OAuth, OpenID Connect, JWTs, sessions, or role-based access.
Working experience with Python for APIs, automation, data processing, or document workflows.
Experience with Git, automated testing, CI/CD, and production deployment.
Ability to evaluate tradeoffs involving maintainability, performance, scalability, security, and delivery speed.Intelligent Document Processing and AIBachelor's degree from an accredited college or university


Candidates should have practical experience with or an understanding of:


OCR, document classification, field and table extraction
Structured and unstructured document processing
Confidence scoring, validation rules, and human review
Document status tracking, exception handling, and audit history
Python-based document ingestion, preprocessing, parsing, and transformation
Calling document intelligence, OCR, and AI services from Python
Large Language Models and their use in document extraction, classification, summarization, and validation
Prompt design, structured model outputs, and hallucination risks
The differences between OCR, trained document models, and LLM-based extraction
Data privacy, accuracy, latency, cost, and human-in-the-loop considerations
Deep AI or data-science experience is not required.

Preferred Qualifications

Experience leading enterprise React or Next.js projects.
Experience modernizing or refactoring large frontend codebases.
Experience with document-management, case-management, or workflow applications.
Experience with Azure AI Document Intelligence, Amazon Textract, or comparable services.
Experience with Azure OpenAI, Amazon Bedrock, or other hosted LLM services.
Experience with FastAPI, Flask, Node.js, or backend API development.
Experience with AWS or Azure application hosting and integration services.

Cloud experience is helpful but is not the primary focus of the role.



Professional Skills

Strong application-design and problem-solving skills.
Ability to translate business requirements into practical software designs.
Strong consulting, communication, documentation, and code-review skills.
Ability to independently own technical workstreams.
Ability to identify architectural risks, technical debt, and delivery blockers.
Ability to mentor developers and establish consistent engineering practices.

Critical Success Factors

Ability to independently deliver production-ready React and Next.js applications.
Strong understanding of modular enterprise application architecture.
Ability to create reusable patterns without unnecessary complexity.
Ability to integrate Intelligent Document Processing into enterprise applications.
Practical understanding of Python, AI, and LLM-supported document workflows.
Commitment to code quality, testing, accessibility, security, performance, and maintainability.