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Remote Community Association Manager Jobs (NOW HIRING)

CINC Systems

Security Engineer

Worldwide (Remote-first / Hybrid optional)  Reports to: Principal Engineer, Platform  About ... the community association management industry. Our platform powers tens of thousands of ...

CINC Systems

Staff Data Scientist

Worldwide (Remote/Hybrid) Reports to: TBD About CINC Systems CINC Systems is the largest provider of accounting and management software in the community association management industry and the ...

CINC Systems

Staff Data Scientist

Worldwide (Remote/Hybrid) Reports to: TBD About CINC Systems CINC Systems is the largest provider of accounting and management software in the community association management industry and the ...

Pavago

Community Manager

Community Manager (Slack Community, Events & Member Engagement) - Remote Full-Time Position Type: Full-Time, Remote Working Hours: U.S. Business Hours About the Role We're hiring a Community Manager ...

CINC Systems

Principal Full-Stack Engineer (Global)

Worldwide (Remote/Hybrid) Reports to: TBD About CINC Systems CINC Systems is the leading provider of accounting and management software for the community association management industry. Our platform ...

CINC Systems

Principal Data Engineer (Global)

Worldwide (Remote-first / Hybrid optional) REPORTS-TO: Software Engineering, Director Data Engineer ... for the community association management industry. Our platform powers more than 50,000 ...

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Remote Community Association Manager information

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$31K

$58.9K

$92.5K

How much do remote community association manager jobs pay per year?

As of Jul 21, 2026, the average yearly pay for remote community association manager in the United States is $58,937.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,000.00 and $67,000.00 per year, depending on experience, location, and employer.

What are some common challenges faced by Remote Community Association Managers, and how can applicants prepare for them?

Remote Community Association Managers often encounter challenges such as effectively communicating with board members and residents across different digital channels, managing multiple communities simultaneously, and staying organized without in-person oversight. To succeed, applicants should be comfortable using property management software, have strong written and verbal communication skills, and be proactive in scheduling regular virtual meetings. Familiarity with compliance regulations and problem-solving in a remote setting will also help new managers navigate these unique aspects of the role.

What is a Remote Community Association Manager?

A Remote Community Association Manager is a professional responsible for overseeing the operations, administration, and governance of residential communities, such as homeowners associations (HOAs) or condominium associations, while working remotely. Their duties typically include coordinating maintenance, managing budgets, enforcing rules, and serving as a liaison between the board of directors and residents. They use digital tools and communication platforms to perform their tasks from a location outside of the community, ensuring smooth daily operations and resident satisfaction.

What is the difference between Remote Community Association Manager vs Community Association Coordinator?

AspectRemote Community Association ManagerCommunity Association Coordinator
CredentialsTypically requires certification such as CAM (Community Association Manager) licenseOften requires basic administrative or community management certifications
Work EnvironmentRemote, managing multiple communities or associationsOn-site or hybrid, supporting community events and resident interactions
Employer & Industry UsageProperty management firms, homeowner associationsCommunity organizations, homeowner associations, property management
Search & Comparison IntentLooking for remote management roles in community associationsSeeking roles supporting community operations and resident relations

The Remote Community Association Manager typically holds specialized certifications and manages multiple communities remotely, focusing on administrative oversight. In contrast, a Community Association Coordinator often works on-site or hybrid, assisting with community events and resident communication. Both roles are vital in property management but differ mainly in work setting and scope of responsibilities.

What are the key skills and qualifications needed to thrive as a Remote Community Association Manager, and why are they important?

To thrive as a Remote Community Association Manager, you need strong knowledge of property management, association bylaws, budgeting, and relevant state regulations, often supported by a CAM license or similar certification. Familiarity with property management software, communication platforms, and accounting systems is typically required. Excellent organizational skills, clear communication, and conflict resolution abilities help in managing relationships with homeowners, boards, and vendors remotely. These skills and qualities are vital for maintaining smooth community operations, ensuring compliance, and fostering positive resident experiences from a distance.
More about Remote Community Association Manager jobs
What cities are hiring for Remote Community Association Manager jobs? Cities with the most Remote Community Association Manager job openings:
What states have the most Remote Community Association Manager jobs? States with the most job openings for Remote Community Association Manager jobs include:
What job categories do people searching Remote Community Association Manager jobs look for? The top searched job categories for Remote Community Association Manager jobs are:
Remote Community Association Manager jobs near you
Infographic showing various Remote Community Association Manager job openings in the United States as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $58,937 per year, or $28.3 per hour.
Security Engineer

Security Engineer

CINC Systems

Remote

Full-time

Posted 6 days ago

Job description

Security Engineer
Location: Worldwide (Remote-first / Hybrid optional) 
Reports to: Principal Engineer, Platform 
About CINC Systems 
CINC Systems is the leading provider of accounting and management software for the community association management industry. Our platform powers tens of thousands of associations and millions of homes through secure, reliable, and increasingly intelligent software systems. 
We are evolving our platform into an AI enabled ecosystem that combines modern SaaS architecture, operational workflows, communications, payments, analytics, and automation into a unified customer experience. This transformation requires engineers who are equally comfortable designing enterprise systems, working directly with business workflows, and leveraging AI to accelerate software development and product capabilities. 
The systems we build are increasingly interconnected and AI enabled. Success in this environment requires more than coding ability alone. It requires judgment, systems thinking, customer understanding, and the ability to integrate modern AI capabilities into practical enterprise software. 
Role Overview
We are looking for a highly technical Security Engineer with deep experience across application security, AWS cloud security, offensive security, secure SDLC, threat modeling and AI security. This role is suited for someone who can operate at both the engineering and adversarial levels by reviewing architecture, testing applications, identifying exploitable weaknesses, automating security workflows, securing AWS infrastructure and helping product teams build resilient systems.
The ideal candidate has hands-on experience with SAST, DAST, SCA, manual application security testing, AWS security reviews, red teaming, SIEM-driven detection workflows, infrastructure-as-code security and security automation. They should be comfortable working directly with engineering teams while also thinking like an attacker to uncover realistic abuse paths across applications, APIs, AWS services, CI/CD pipelines and AI-enabled systems.
 Key Responsibilities
  • Lead security reviews for web applications, APIs, microservices, AWS workloads, internal platforms and AI-enabled products.
  • Perform advanced application security testing using SAST, DAST, SCA, manual code review, API testing and business logic testing.
  • Identify vulnerabilities across authentication, authorization, session management, access control, injection, SSRF, deserialization, insecure file handling, data exposure and insecure API design.
  • Conduct threat modeling for new products, critical features, AWS architectures, AI workflows, identity systems and high-risk data flows.
  • Build and improve secure SDLC processes, including security requirements, code scanning, dependency review, CI/CD security gates and release risk assessments.
  • Review infrastructure-as-code templates such as Terraform, CloudFormation, AWS CDK, Helm charts and Kubernetes manifests for security misconfigurations.
  • Assess AWS environments for IAM weaknesses, exposed services, insecure networking, public S3 buckets, secrets leakage, logging gaps, encryption issues, workload risks and privilege escalation paths.
  • Review AWS IAM policies, roles, trust relationships, permission boundaries, service control policies, identity federation and cross-account access patterns.
  • Assess AWS services such as EC2, S3, Lambda, ECS, EKS, RDS, API Gateway, CloudFront, WAF, KMS, Secrets Manager, Systems Manager, ECR, VPC, Route 53 and IAM Identity Center.
  • Conduct red team exercises, adversary simulations, attack path analysis and controlled exploitation to validate real-world risk.
  • Develop proof-of-concept exploits, custom scripts and automation to reproduce vulnerabilities and demonstrate business impact.
  • Evaluate containerized and Kubernetes environments, including EKS, for workload isolation, RBAC issues, exposed services, image risks, secrets handling and runtime security gaps.
  • Assess CI/CD pipelines for insecure workflows, overprivileged tokens, secrets exposure, supply chain risks, artifact integrity and deployment abuse paths.
  • Perform software composition analysis to identify vulnerable dependencies, license risks, malicious packages, transitive dependency exposure and supply chain weaknesses.
  • Use SIEM and security telemetry to support investigations, validate attack paths, improve detections and measure control effectiveness.
  • Build detection logic, threat hunting queries, dashboards and alerting workflows using SIEM platforms such as Splunk, Microsoft Sentinel, Elastic, Chronicle or AWS-native telemetry.
  • Use AWS security services such as GuardDuty, Security Hub, CloudTrail, AWS Config, Inspector, Detective, Macie, IAM Access Analyzer, Security Lake and CloudWatch to improve visibility and detection coverage.
  • Automate security workflows using Python, Bash, PowerShell, Go or similar scripting languages.
  • Develop threat automation for vulnerability enrichment, alert triage, AWS posture checks, attack simulation, evidence collection and remediation tracking.
  • Partner with DevOps and platform teams to improve secrets management, identity controls, network segmentation, logging, monitoring and secure deployment patterns.
  • Assess AI and LLM-based systems for risks such as prompt injection, indirect prompt injection, data leakage, insecure tool use, excessive agency, jailbreaks, model abuse, retrieval poisoning and unsafe agent behavior.
  • Review AI workloads using AWS services such as Amazon Bedrock, SageMaker, Lambda, API Gateway, S3, KMS and IAM for secure design, data protection and access control.
  • Produce clear technical reports with evidence, exploitability, impact, likelihood, risk rating and actionable remediation guidance.
  • Mentor engineers and security team members on secure coding, AWS security, offensive testing, threat modeling and AI security risks.
Required Qualifications
  • Strong hands-on experience in application security, product security, AWS cloud security, offensive security or security engineering.
  • Deep understanding of secure SDLC practices and experience embedding security into engineering workflows.
  • Practical experience with SAST, DAST, SCA, manual penetration testing, code review and vulnerability validation.
  • Strong knowledge of OWASP Top 10, OWASP API Security Top 10, OWASP ASVS, common CWE classes and real-world application attack techniques.
  • Experience testing web applications, APIs, microservices, cloud services, containers and distributed systems.
  • Strong understanding of authentication, authorization, identity federation, OAuth, OIDC, SAML, JWT, session security and access control design.
  • Hands-on experience securing AWS environments in production.
  • Strong knowledge of AWS IAM, VPC networking, encryption, KMS, Secrets Manager, S3 security, CloudTrail, GuardDuty, Security Hub, AWS Config and workload hardening.
  • Experience reviewing infrastructure-as-code and identifying security issues in Terraform, CloudFormation, AWS CDK, Kubernetes YAML, Helm, Dockerfiles or similar technologies.
  • Experience with CI/CD security across tools such as bitbucket pipelines, Jenkins, AWS CodePipeline, or similar platforms.
  • Experience with red teaming, adversary emulation, penetration testing, exploit development, attack path mapping or offensive security assessments.
  • Familiarity with SIEM platforms and the ability to write detection or hunting queries using SPL, KQL, SQL, Lucene, YARA, Sigma or similar languages.
  • Strong scripting ability in Python, Bash, PowerShell, JavaScript or similar languages.
  • Ability to automate repetitive security tasks and build internal tools that improve security testing, visibility and response.
  • Familiarity with container and Kubernetes security, including ECS,EKS, RBAC, admission controls, image scanning, runtime controls, network policies and secrets handling.
  • Ability to review code in languages such as Python, JavaScript, TypeScript, Java, Go, Kotlin, C# or similar.
  • Strong written and verbal communication skills, with the ability to explain complex technical risks to engineering and leadership teams.
Preferred Qualifications
  • Experience securing AI-enabled applications, LLM products, autonomous agents, RAG pipelines, AI plugins or ML infrastructure.
  • Experience performing AI red teaming, prompt injection testing, jailbreak testing, model abuse testing or evaluation of agentic workflows.
  • Experience with AWS Organizations, Control Tower, service control policies, multi-account security patterns and centralized logging.
  • Experience with threat modeling methodologies such as STRIDE, PASTA, attack trees, abuse cases, data flow diagrams or architecture risk reviews.
  • Experience with security automation, SOAR workflows, detection-as-code, policy-as-code or cloud security posture automation.
  • Experience with tools such as Burp Suite Pro, OWASP ZAP, Semgrep, CodeQL, Checkmarx, Fortify, Veracode, Snyk, Dependabot, Trivy, Grype, Syft, Gitleaks, Checkov, tfsec, Prowler, ScoutSuite, Wiz, Prisma Cloud or similar.
  • Experience building custom security tooling, scanners, exploit harnesses, detection rules, cloud guardrails or CI/CD security integrations.
  • Experience with MITRE ATT amp;CK, MITRE ATLAS, CIS Benchmarks, AWS Well-Architected Security Pillar, NIST, ISO 27001, SOC 2, PCI DSS or similar frameworks.
  • Experience with bug bounty programs, coordinated vulnerability disclosure, internal red team programs or external penetration testing engagements.
  • Relevant certifications such as OSCP, OSWE, OSEP, GWAPT, AWS Certified Security Specialty, AWS Solutions Architect, CISSP or equivalent practical experience.
What Success Looks Like
  • Security is embedded into design, development, testing and deployment workflows.
  • SAST, DAST, SCA, secrets scanning, IaC scanning and AWS posture checks are implemented with practical tuning and low operational noise.
  • High-risk application and AWS vulnerabilities are identified early, validated accurately and remediated with engineering partnership.
  • Threat models are used to influence architecture decisions before systems reach production.
  • Red team findings translate into improved controls, stronger detections and reduced attack paths.
  • SIEM, AWS logs and security telemetry are used to validate security controls and detect realistic abuse scenarios.
  • Security automation reduces manual review effort and accelerates vulnerability management, investigation and remediation.
  • AI-enabled systems are reviewed for emerging threats before they are released or scaled.
  • Engineering teams view security as a technical partner that helps them ship resilient products.

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