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Hire remote Community Manager

Discover developers that match your project requirements.

No exact match for this specialty yet — here are related experts from our network.

Aditya P.
Available Now
Verified in SoftDoesAditya P.
DevOps Engineer/ Site Reliability Engineer
US 🇺🇸English (B2)Senior
GoPythonUNIX Shell ScriptingPHP

Principal DevOps / Site Reliability Engineer with 14+ years of software engineering experience (including freelance development) and 9+ years of professional DevOps/SRE experience. Expert in designing and automating scalable cloud infrastructure across AWS, GCP, Azure, a company Cloud, with deep expertise in Kubernetes, Docker, OpenShift, Terraform, Ansible, GitOps (ArgoCD/FluxCD), CI/CD, Go, and Python. Experienced in building multi-cloud, high-availability platforms, infrastructure automation, cloud migrations, and developer platforms. Currently working as Principal Engineer at FOX, previously held senior engineering roles at Hippo Insurance, a company, and Morgan Stanley.

Aditya P.
Available Now
Aditya P.Verified in SoftDoes
DevOps Engineer/ Site Reliability Engineer
US 🇺🇸English (B2)Senior
GoPythonUNIX Shell ScriptingPHP

Principal DevOps / Site Reliability Engineer with 14+ years of software engineering experience (including freelance development) and 9+ years of professional DevOps/SRE experience. Expert in designing and automating scalable cloud infrastructure across AWS, GCP, Azure, a company Cloud, with deep expertise in Kubernetes, Docker, OpenShift, Terraform, Ansible, GitOps (ArgoCD/FluxCD), CI/CD, Go, and Python. Experienced in building multi-cloud, high-availability platforms, infrastructure automation, cloud migrations, and developer platforms. Currently working as Principal Engineer at FOX, previously held senior engineering roles at Hippo Insurance, a company, and Morgan Stanley.

Aditya P.
Available Now
Aditya P.Verified in SoftDoes
DevOps Engineer/ Site Reliability Engineer
US 🇺🇸English (B2)Senior
GoPythonUNIX Shell ScriptingPHP

Principal DevOps / Site Reliability Engineer with 14+ years of software engineering experience (including freelance development) and 9+ years of professional DevOps/SRE experience. Expert in designing and automating scalable cloud infrastructure across AWS, GCP, Azure, a company Cloud, with deep expertise in Kubernetes, Docker, OpenShift, Terraform, Ansible, GitOps (ArgoCD/FluxCD), CI/CD, Go, and Python. Experienced in building multi-cloud, high-availability platforms, infrastructure automation, cloud migrations, and developer platforms. Currently working as Principal Engineer at FOX, previously held senior engineering roles at Hippo Insurance, a company, and Morgan Stanley.

Andrea M.
Available Now
Verified in SoftDoesAndrea M.
AI Solutions Architect/Engineer
IT 🇮🇹English (C1)Senior
PythonLangChainLangGraphGoogle Cloud

I am a solutions architect and engineer with 5+ years of experience in designing and implementing cloud-based AI solutions. Solid skills across applied AI, software engineering, cloud architecture and DevOps practices, built on years of field experience, allow me to drive AI initiatives from concept to production, leveraging AI tools to boost delivery speed without compromising on deliverable quality.

Andrea M.
Available Now
Andrea M.Verified in SoftDoes
AI Solutions Architect/Engineer
IT 🇮🇹English (C1)Senior
PythonLangChainLangGraphGoogle Cloud

I am a solutions architect and engineer with 5+ years of experience in designing and implementing cloud-based AI solutions. Solid skills across applied AI, software engineering, cloud architecture and DevOps practices, built on years of field experience, allow me to drive AI initiatives from concept to production, leveraging AI tools to boost delivery speed without compromising on deliverable quality.

Andrea M.
Available Now
Andrea M.Verified in SoftDoes
AI Solutions Architect/Engineer
IT 🇮🇹English (C1)Senior
PythonLangChainLangGraphGoogle Cloud

I am a solutions architect and engineer with 5+ years of experience in designing and implementing cloud-based AI solutions. Solid skills across applied AI, software engineering, cloud architecture and DevOps practices, built on years of field experience, allow me to drive AI initiatives from concept to production, leveraging AI tools to boost delivery speed without compromising on deliverable quality.

Andrii V.
Available Now
Verified in SoftDoesAndrii V.
Senior Python Engineer
CA 🇨🇦English (C1)Senior
PythonDjangoFastAPIFlask

Senior Python Developer with 11+ years of experience designing scalable backend systems and microservice architectures across data analytics, logistics, and fintech platforms. Proven track record leading engineering teams and delivering cloud-native solutions on AWS and Kubernetes. Recently led development of AI-powered and real-time observability platforms using modern Python frameworks and large-scale data technologies. Strong background in system architecture, distributed systems, and mentoring teams in Agile environments.

Andrii V.
Available Now
Andrii V.Verified in SoftDoes
Senior Python Engineer
CA 🇨🇦English (C1)Senior
PythonDjangoFastAPIFlask

Senior Python Developer with 11+ years of experience designing scalable backend systems and microservice architectures across data analytics, logistics, and fintech platforms. Proven track record leading engineering teams and delivering cloud-native solutions on AWS and Kubernetes. Recently led development of AI-powered and real-time observability platforms using modern Python frameworks and large-scale data technologies. Strong background in system architecture, distributed systems, and mentoring teams in Agile environments.

Andrii V.
Available Now
Andrii V.Verified in SoftDoes
Senior Python Engineer
CA 🇨🇦English (C1)Senior
PythonDjangoFastAPIFlask

Senior Python Developer with 11+ years of experience designing scalable backend systems and microservice architectures across data analytics, logistics, and fintech platforms. Proven track record leading engineering teams and delivering cloud-native solutions on AWS and Kubernetes. Recently led development of AI-powered and real-time observability platforms using modern Python frameworks and large-scale data technologies. Strong background in system architecture, distributed systems, and mentoring teams in Agile environments.

Boris S.
Available Now
Verified in SoftDoesBoris S.
Senior AI/ML Engineer
BG 🇧🇬English (B2)Senior
PythonSQLBashFastAPI

Senior AI/ML Engineer with 10+ years of experience designing and deploying large-scale machine learning and generative AI systems in production environments. Specialized in LLM architectures, agentic AI systems, distributed ML infrastructure, and end-to-end MLOps platforms. Proven track record of delivering high-impact AI products including diagnostic AI systems improving accuracy by 38% and enterprise ML platforms accelerating data pipelines by 40%. Experienced in leading cross-functional teams, architecting scalable AI platforms, and driving AI innovation across healthcare, enterprise analytics, and automation domains.

Boris S.
Available Now
Boris S.Verified in SoftDoes
Senior AI/ML Engineer
BG 🇧🇬English (B2)Senior
PythonSQLBashFastAPI

Senior AI/ML Engineer with 10+ years of experience designing and deploying large-scale machine learning and generative AI systems in production environments. Specialized in LLM architectures, agentic AI systems, distributed ML infrastructure, and end-to-end MLOps platforms. Proven track record of delivering high-impact AI products including diagnostic AI systems improving accuracy by 38% and enterprise ML platforms accelerating data pipelines by 40%. Experienced in leading cross-functional teams, architecting scalable AI platforms, and driving AI innovation across healthcare, enterprise analytics, and automation domains.

Boris S.
Available Now
Boris S.Verified in SoftDoes
Senior AI/ML Engineer
BG 🇧🇬English (B2)Senior
PythonSQLBashFastAPI

Senior AI/ML Engineer with 10+ years of experience designing and deploying large-scale machine learning and generative AI systems in production environments. Specialized in LLM architectures, agentic AI systems, distributed ML infrastructure, and end-to-end MLOps platforms. Proven track record of delivering high-impact AI products including diagnostic AI systems improving accuracy by 38% and enterprise ML platforms accelerating data pipelines by 40%. Experienced in leading cross-functional teams, architecting scalable AI platforms, and driving AI innovation across healthcare, enterprise analytics, and automation domains.

Eugene M.
Available Now
Verified in SoftDoesEugene M.
DevOps Engineer
ES 🇪🇸English (C2)Senior
AWSGoogle CloudKubernetesTerraform

10+ years in IT, 7+ years focused on DevOps/SysOps/SRE. Currently - Tech Lead at a U.S. company.

Eugene M.
Available Now
Eugene M.Verified in SoftDoes
DevOps Engineer
ES 🇪🇸English (C2)Senior
AWSGoogle CloudKubernetesTerraform

10+ years in IT, 7+ years focused on DevOps/SysOps/SRE. Currently - Tech Lead at a U.S. company.

Eugene M.
Available Now
Eugene M.Verified in SoftDoes
DevOps Engineer
ES 🇪🇸English (C2)Senior
AWSGoogle CloudKubernetesTerraform

10+ years in IT, 7+ years focused on DevOps/SysOps/SRE. Currently - Tech Lead at a U.S. company.

Hripsime S.
Available Now
Verified in SoftDoesHripsime S.
AI Engineer | Data Scientist
FR 🇫🇷English (C1)Senior
Deep LearningMachine LearningInterpretabilityConvolutional Neural Networks

AI engineer with 6+ years of professional experience, available to start a new challenging role in stimulating and innovative company.

Hripsime S.
Available Now
Hripsime S.Verified in SoftDoes
AI Engineer | Data Scientist
FR 🇫🇷English (C1)Senior
Deep LearningMachine LearningInterpretabilityConvolutional Neural Networks

AI engineer with 6+ years of professional experience, available to start a new challenging role in stimulating and innovative company.

Hripsime S.
Available Now
Hripsime S.Verified in SoftDoes
AI Engineer | Data Scientist
FR 🇫🇷English (C1)Senior
Deep LearningMachine LearningInterpretabilityConvolutional Neural Networks

AI engineer with 6+ years of professional experience, available to start a new challenging role in stimulating and innovative company.

Mario J.
Available Now
Verified in SoftDoesMario J.
Senior Data Engineer
GT 🇬🇹English (C1)Senior
PythonSQLPandasPySpark

Over the past 8 years, I have gained ample experience in ETL/ELT, Snowflake, Airflow, and Data Warehouse. I have been responsible for Data Lake Support and creating new ETL/ELT processes within AWS using either Snowflake, Glue, Airflow, dbt, Xplenty, Docker, or Custom Python Scripts with APIs. I have also worked as an Application Architect, which includes over 50 different services across AWS. I needed to create pipelines, organizations, and permissions within AWS Infrastructure to meet business requirements while optimizing costs. My previous work includes over four years as a Data Analyst, creating and supporting BI Tools like Sisense, Quicksight, and Power BI/Tableau. I managed and created dashboards, widgets, and Data Architecture with Sisense and Redshift. I was also the Support Engineer for Sisense Installation and Maintenance. I would describe myself as reliable and able to undertake complex situations with unique solutions. I have over 7 years of experience in the Data sector, over 17+ years of SQL experience, and 20+ years as a Developer. I’m also a mid-QA Automation Engineer, which gives me a better idea of the attention to detail a developer needs to attain to complete development within the time limit and without affecting PROD releases. My other skills include being a Sysadmin in both Windows and Linux environments, a company Web Services AWS, a company 365 Portal, JumpCloud, 1Password, and Slack. I also have DBA knowledge, including creating servers and Data Warehouses. I'm an expert in MS Office and can automate with macros. I’m also a Cybersecurity advocate since I’m always looking for ways to protect data and user permissions. I have been in Agile Development with Jira in Kanban and Scrum for the past 4 years. And I have also created bots to automatize process alerts and configurations with Slack APIs and AWS to help my teammates get prompt feedback from the ETL pipelines.

Mario J.
Available Now
Mario J.Verified in SoftDoes
Senior Data Engineer
GT 🇬🇹English (C1)Senior
PythonSQLPandasPySpark

Over the past 8 years, I have gained ample experience in ETL/ELT, Snowflake, Airflow, and Data Warehouse. I have been responsible for Data Lake Support and creating new ETL/ELT processes within AWS using either Snowflake, Glue, Airflow, dbt, Xplenty, Docker, or Custom Python Scripts with APIs. I have also worked as an Application Architect, which includes over 50 different services across AWS. I needed to create pipelines, organizations, and permissions within AWS Infrastructure to meet business requirements while optimizing costs. My previous work includes over four years as a Data Analyst, creating and supporting BI Tools like Sisense, Quicksight, and Power BI/Tableau. I managed and created dashboards, widgets, and Data Architecture with Sisense and Redshift. I was also the Support Engineer for Sisense Installation and Maintenance. I would describe myself as reliable and able to undertake complex situations with unique solutions. I have over 7 years of experience in the Data sector, over 17+ years of SQL experience, and 20+ years as a Developer. I’m also a mid-QA Automation Engineer, which gives me a better idea of the attention to detail a developer needs to attain to complete development within the time limit and without affecting PROD releases. My other skills include being a Sysadmin in both Windows and Linux environments, a company Web Services AWS, a company 365 Portal, JumpCloud, 1Password, and Slack. I also have DBA knowledge, including creating servers and Data Warehouses. I'm an expert in MS Office and can automate with macros. I’m also a Cybersecurity advocate since I’m always looking for ways to protect data and user permissions. I have been in Agile Development with Jira in Kanban and Scrum for the past 4 years. And I have also created bots to automatize process alerts and configurations with Slack APIs and AWS to help my teammates get prompt feedback from the ETL pipelines.

Mario J.
Available Now
Mario J.Verified in SoftDoes
Senior Data Engineer
GT 🇬🇹English (C1)Senior
PythonSQLPandasPySpark

Over the past 8 years, I have gained ample experience in ETL/ELT, Snowflake, Airflow, and Data Warehouse. I have been responsible for Data Lake Support and creating new ETL/ELT processes within AWS using either Snowflake, Glue, Airflow, dbt, Xplenty, Docker, or Custom Python Scripts with APIs. I have also worked as an Application Architect, which includes over 50 different services across AWS. I needed to create pipelines, organizations, and permissions within AWS Infrastructure to meet business requirements while optimizing costs. My previous work includes over four years as a Data Analyst, creating and supporting BI Tools like Sisense, Quicksight, and Power BI/Tableau. I managed and created dashboards, widgets, and Data Architecture with Sisense and Redshift. I was also the Support Engineer for Sisense Installation and Maintenance. I would describe myself as reliable and able to undertake complex situations with unique solutions. I have over 7 years of experience in the Data sector, over 17+ years of SQL experience, and 20+ years as a Developer. I’m also a mid-QA Automation Engineer, which gives me a better idea of the attention to detail a developer needs to attain to complete development within the time limit and without affecting PROD releases. My other skills include being a Sysadmin in both Windows and Linux environments, a company Web Services AWS, a company 365 Portal, JumpCloud, 1Password, and Slack. I also have DBA knowledge, including creating servers and Data Warehouses. I'm an expert in MS Office and can automate with macros. I’m also a Cybersecurity advocate since I’m always looking for ways to protect data and user permissions. I have been in Agile Development with Jira in Kanban and Scrum for the past 4 years. And I have also created bots to automatize process alerts and configurations with Slack APIs and AWS to help my teammates get prompt feedback from the ETL pipelines.

Raphael O.
Available Now
Verified in SoftDoesRaphael O.
Snr. Staff Software Engineer
US 🇺🇸English (Native)Senior
LeadershipAgileBig dataAPI design

I am a technical leader and problem solver who designs and delivers scalable, distributed software and AI systems that create measurable business value. I have led cross-functional teams and platform initiatives, translating complex requirements into reliable, production-ready solutions built on open standards. My experience spans architecting, mentoring, and driving execution across diverse technology stacks, with a strong focus on operational excellence, product impact, and long-term system sustainability.

Raphael O.
Available Now
Raphael O.Verified in SoftDoes
Snr. Staff Software Engineer
US 🇺🇸English (Native)Senior
LeadershipAgileBig dataAPI design

I am a technical leader and problem solver who designs and delivers scalable, distributed software and AI systems that create measurable business value. I have led cross-functional teams and platform initiatives, translating complex requirements into reliable, production-ready solutions built on open standards. My experience spans architecting, mentoring, and driving execution across diverse technology stacks, with a strong focus on operational excellence, product impact, and long-term system sustainability.

Raphael O.
Available Now
Raphael O.Verified in SoftDoes
Snr. Staff Software Engineer
US 🇺🇸English (Native)Senior
LeadershipAgileBig dataAPI design

I am a technical leader and problem solver who designs and delivers scalable, distributed software and AI systems that create measurable business value. I have led cross-functional teams and platform initiatives, translating complex requirements into reliable, production-ready solutions built on open standards. My experience spans architecting, mentoring, and driving execution across diverse technology stacks, with a strong focus on operational excellence, product impact, and long-term system sustainability.

Santiago G.
Available Now
Verified in SoftDoesSantiago G.
DevOps Engineer
US 🇺🇸English (C1)Senior
LinuxBashDockerAnsible

Energetic, adaptable, mission-focused and multilingual MBA professional with more than 20 years of experience in IT, Business Intelligence, Marketing and Finance in 4 multinationals. Proven track record of finding creative solutions to solving challenges. Effective presenter who collaborates well in teams and across divisions. Passion for learning and acquiring new skills every day.

Santiago G.
Available Now
Santiago G.Verified in SoftDoes
DevOps Engineer
US 🇺🇸English (C1)Senior
LinuxBashDockerAnsible

Energetic, adaptable, mission-focused and multilingual MBA professional with more than 20 years of experience in IT, Business Intelligence, Marketing and Finance in 4 multinationals. Proven track record of finding creative solutions to solving challenges. Effective presenter who collaborates well in teams and across divisions. Passion for learning and acquiring new skills every day.

Santiago G.
Available Now
Santiago G.Verified in SoftDoes
DevOps Engineer
US 🇺🇸English (C1)Senior
LinuxBashDockerAnsible

Energetic, adaptable, mission-focused and multilingual MBA professional with more than 20 years of experience in IT, Business Intelligence, Marketing and Finance in 4 multinationals. Proven track record of finding creative solutions to solving challenges. Effective presenter who collaborates well in teams and across divisions. Passion for learning and acquiring new skills every day.

Thierry M.
Available Now
Verified in SoftDoesThierry M.
Senior Infrastructure / Production Engineer
US 🇺🇸English (C1)Senior
AWSGoogle CloudAzureKubernetes

15+ years of experience designing and operating large-scale distributed systems and latency-sensitive production platforms. Expertise in multi-region Kubernetes infrastructure, hybrid cloud environments, and production reliability engineering, with a strong focus on scalability, fault tolerance, observability, and operational automation. Deep experience building and operating hybrid bare-metal and cloud platforms (AWS, GCP), including Kubernetes infrastructure, traffic routing, CI/CD systems, and production observability stacks supporting globally distributed workloads. Strong background in incident response, Linux systems, networking, distributed systems troubleshooting, and infrastructure automation using Terraform and Python. Focused on end-to-end ownership of production infrastructure platforms while partnering closely with engineering teams to improve reliability, security, deployment consistency, and operational efficiency.

Thierry M.
Available Now
Thierry M.Verified in SoftDoes
Senior Infrastructure / Production Engineer
US 🇺🇸English (C1)Senior
AWSGoogle CloudAzureKubernetes

15+ years of experience designing and operating large-scale distributed systems and latency-sensitive production platforms. Expertise in multi-region Kubernetes infrastructure, hybrid cloud environments, and production reliability engineering, with a strong focus on scalability, fault tolerance, observability, and operational automation. Deep experience building and operating hybrid bare-metal and cloud platforms (AWS, GCP), including Kubernetes infrastructure, traffic routing, CI/CD systems, and production observability stacks supporting globally distributed workloads. Strong background in incident response, Linux systems, networking, distributed systems troubleshooting, and infrastructure automation using Terraform and Python. Focused on end-to-end ownership of production infrastructure platforms while partnering closely with engineering teams to improve reliability, security, deployment consistency, and operational efficiency.

Thierry M.
Available Now
Thierry M.Verified in SoftDoes
Senior Infrastructure / Production Engineer
US 🇺🇸English (C1)Senior
AWSGoogle CloudAzureKubernetes

15+ years of experience designing and operating large-scale distributed systems and latency-sensitive production platforms. Expertise in multi-region Kubernetes infrastructure, hybrid cloud environments, and production reliability engineering, with a strong focus on scalability, fault tolerance, observability, and operational automation. Deep experience building and operating hybrid bare-metal and cloud platforms (AWS, GCP), including Kubernetes infrastructure, traffic routing, CI/CD systems, and production observability stacks supporting globally distributed workloads. Strong background in incident response, Linux systems, networking, distributed systems troubleshooting, and infrastructure automation using Terraform and Python. Focused on end-to-end ownership of production infrastructure platforms while partnering closely with engineering teams to improve reliability, security, deployment consistency, and operational efficiency.

Thomas S.
Available Now
Verified in SoftDoesThomas S.
Technical leader at a company AI Core
DE 🇩🇪English (C1)Team Lead
LeadershipMentorshipGenerative AIPyTorch

Technical leader at a company AI Core, building and operating cloud-native AI platform services from prototype to production. Hands-on across backend engineering, distributed systems, and Kubernetes, driving technical direction and delivery across teams without direct authority.

Thomas S.
Available Now
Thomas S.Verified in SoftDoes
Technical leader at a company AI Core
DE 🇩🇪English (C1)Team Lead
LeadershipMentorshipGenerative AIPyTorch

Technical leader at a company AI Core, building and operating cloud-native AI platform services from prototype to production. Hands-on across backend engineering, distributed systems, and Kubernetes, driving technical direction and delivery across teams without direct authority.

Thomas S.
Available Now
Thomas S.Verified in SoftDoes
Technical leader at a company AI Core
DE 🇩🇪English (C1)Team Lead
LeadershipMentorshipGenerative AIPyTorch

Technical leader at a company AI Core, building and operating cloud-native AI platform services from prototype to production. Hands-on across backend engineering, distributed systems, and Kubernetes, driving technical direction and delivery across teams without direct authority.

Tzechung K.
Available Now
Verified in SoftDoesTzechung K.
Lead AI/ML Developer
US 🇺🇸English (Native)Senior
Claude CodeOpenAI CodexGoogle AntigravityLLM Fine-Tuning

Software Engineer with 10+ years of AI/ML experience and proven expertise in developing LLM-powered applications, generative AI systems, and ad engines. Strong track record of scaling ML platforms from inception to 1,500+ users at a company, building production AI systems, and creating innovative ad solutions. Experienced in full software development lifecycle with deep knowledge of PyTorch, TensorFlow, and modern AI frameworks including LangChain, LangGraph, and various LLM APIs.

Tzechung K.
Available Now
Tzechung K.Verified in SoftDoes
Lead AI/ML Developer
US 🇺🇸English (Native)Senior
Claude CodeOpenAI CodexGoogle AntigravityLLM Fine-Tuning

Software Engineer with 10+ years of AI/ML experience and proven expertise in developing LLM-powered applications, generative AI systems, and ad engines. Strong track record of scaling ML platforms from inception to 1,500+ users at a company, building production AI systems, and creating innovative ad solutions. Experienced in full software development lifecycle with deep knowledge of PyTorch, TensorFlow, and modern AI frameworks including LangChain, LangGraph, and various LLM APIs.

Tzechung K.
Available Now
Tzechung K.Verified in SoftDoes
Lead AI/ML Developer
US 🇺🇸English (Native)Senior
Claude CodeOpenAI CodexGoogle AntigravityLLM Fine-Tuning

Software Engineer with 10+ years of AI/ML experience and proven expertise in developing LLM-powered applications, generative AI systems, and ad engines. Strong track record of scaling ML platforms from inception to 1,500+ users at a company, building production AI systems, and creating innovative ad solutions. Experienced in full software development lifecycle with deep knowledge of PyTorch, TensorFlow, and modern AI frameworks including LangChain, LangGraph, and various LLM APIs.

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What our Community Managers can build

Not sure which engagement model fits?

SoftDoes takes full ownership of delivery, combining project management, engineering, design, and QA into one accountable team focused on successful outcomes.

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FIND THE
RIGHT expert, FASTER

Choose a role. Filter by technology.
Discover developers that match your project requirements.

How to hire a Community Manager

01
BROWSE PROFILESRIGHT NOW

Fill out a short form and see who's on the bench. Real profiles, verified histories.

02
Interview1-3 DAYS

Tell us what you need. We propose two or three candidates from the bench; you interview them directly.

03
OnboardWEEK ONE

Your engineer starts on your project. Contract, payments, and the guarantee run through us.

US VS. THE DATABASE

Time to Start
Talent Quality
Technical Vetting
Flexibility
Operational Overhead
Cost Efficiency
cursor
<SoftDoes>
Time to Start
1-2 weeks
Talent Quality
Senior-only engineers
Technical Vetting
Multi-stage screening
Flexibility
Scale up or down anytime
Operational Overhead
As managed as you want
Cost Efficiency
Competitive, fee-free
Talent Marketplaces
Time to Start
1-3 months
Talent Quality
Mixed experience levels
Technical Vetting
One screen, then gone
Flexibility
Contract restrictions
Operational Overhead
Partially managed
Cost Efficiency
Agency markup
In-House Hiring
Time to Start
2-6 months
Talent Quality
Depends on market
Technical Vetting
Internal responsibility
Flexibility
Long-term commitment
Operational Overhead
Fully internal
Cost Efficiency
Highest total cost

Frequently Asked Questions

Everything you need to know about deploying, scaling, and securing your neural agents with SoftDoes. Can’t find an answer?

How long does it take to hire a Community Manager through SoftDoes?

Traditional recruiting for a senior community manager in the US typically takes eight to twelve weeks from job posting to signed offer. The global median time to hire is 38 days through standard channels. Through SoftDoes, the process compresses to days rather than weeks. Because our talent network includes pre vetted community management professionals with extensive experience across platforms like Discord, Slack, Circle, and custom forums, we can present curated candidate profiles within a few business days of your initial consultation. From there, you conduct direct interviews and select the best fit, with onboarding beginning immediately after.

What does it cost to hire a Community Manager?

Community manager salaries range from $62k to $111k in the U.S., depending on seniority and geographic location. When you factor in benefits, HR overhead, and tooling, the fully loaded cost runs higher. Remote or offshore dedicated specialists typically cost $1,200 to $3,000 per month for full time engagement, while freelancers charge $20 to $50 per hour depending on scope and expertise. Senior fractional engagements (5 to 10 hours per week) can run around $5,000 per month. SoftDoes offers transparent pricing across all engagement models, so you can match investment to the maturity and scale of your community without hidden fees or long term lock in.

What engagement models are available (dedicated hire, pod, contract)?

SoftDoes supports multiple engagement models to fit your stage and budget. A dedicated full time specialist works 40 hours per week embedded in your team, handling strategy, moderation, content creation, and data analysis. A fractional or part time specialist works on retainer at a defined weekly commitment, ideal for early stage communities or companies testing community ROI. A community management pod combines a strategist, a moderator, and content support into a single unit for complex community ecosystems. Contract to hire arrangements let you evaluate fit before converting to a long term engagement. Freelancers can be hired for ongoing community management services as well, though the pod model provides more consistency and knowledge redundancy than a solo freelancer.

How do you ensure time zone alignment with a Community Manager?

For clients in the US and Canada, SoftDoes prioritizes talent in overlapping time zones to ensure real time collaboration during core business hours. For communities requiring broader coverage (evening moderation, weekend engagement), we can staff multiple specialists in complementary time zones to create a follow the sun model. Coverage hours, async communication protocols, and escalation paths are defined during the requirements assessment so there are no gaps in community responsiveness. Clear guidelines on availability and response windows are established before the engagement begins.

How does SoftDoes technically vet a Community Manager?

Every candidate goes through a multi stage vetting process before being presented to you. First, we review their portfolio and prior community management metrics: engagement growth, retention outcomes, platforms managed, and tools used. A portfolio review can provide insight into a candidate's past community management success. Second, we assign a practical real world task, such as auditing a community, designing an engagement calendar, or drafting moderation responses to a conflict scenario. Third, we conduct an analytical interview where the candidate addresses a realistic challenge (declining participation, toxic behavior, a failed product launch in the community) and proposes data backed interventions. Finally, we assess communication skills, empathy and emotional intelligence, cultural intelligence, and whether the candidate has experience in regulated industries if your business requires it. Only candidates who clear all four stages enter our [talent network](/talent).

What happens if the Community Manager isn't the right fit, or I need to scale up or down?

SoftDoes provides a replacement guarantee. If your community manager is not delivering against agreed KPIs or is not a cultural fit, we replace the specialist with a new match without restarting the entire process. Scaling is equally straightforward: if your community grows and you need additional moderation support, content creation capacity, or a full pod, we add team members from our existing vetted bench. If you need to scale down due to budget changes or seasonal patterns, you reduce hours or engagement scope without penalties. Knowledge documentation and transition protocols ensure that institutional knowledge is preserved regardless of team changes.

How to Hire a Community Manager

Most companies burn weeks posting generic job descriptions, screening dozens of unqualified applicants, and ending up with a community manager who treats the role like social media management with a different title. The result: wasted budget, a stagnant community, and zero measurable business impact. This guide walks you through what the role actually requires, how to scope and vet candidates, what to pay, and how to onboard a hire who delivers from day one.

What a Community Manager Does and Why It Matters to Your Business

Core Responsibilities of a Modern Community Specialist

A community manager is the operational link between your users, your product team, your marketing function, and your leadership. Community managers differ from social media managers in focus areas: where a social media marketer optimizes reach and advertising campaigns, a community specialist builds member relationships, drives engagement inside owned spaces, and turns passive users into loyal customers. Community management services include moderation, engagement, and content creation, but the best operators go further.

Here is what the day to day looks like in practice:

  • Moderation and conflict resolution. Enforcing community guidelines, removing harmful content, and de-escalating disputes across platforms like Discord, Slack, or dedicated forums. Conflict resolution expertise helps maintain positive community environments. Moderation judgment is critical for managing conflicts and community safety.
  • Content planning and creation. Writing discussion prompts, scheduling AMAs and webinars, producing content that keeps meaningful conversations going. Creative content development is essential for engaging community members.
  • Community listening and data analysis. Tracking sentiment, member feedback, and engagement KPIs, then feeding those insights to product and marketing. Community managers analyze data to inform community strategy.
  • Member onboarding and culture building. Designing welcome flows, creating ambassador programs, and teaching new members how to get value from the community. Community managers foster relationships and maintain digital community health.
  • Engagement programming. Running live events, challenges, weekly discussion threads, and recurring series that keep participation consistent and drive community growth.
  • Cross team feedback loops. Surfacing feature requests, bugs, and usage pain points to product teams. Integration with product and marketing teams is vital for community managers to relay user feedback and shape the roadmap.

Community managers need exceptional communication skills, empathy, data analytics proficiency, and platform specific technical skills. Demonstrated experience is often more valuable than formal education in community roles; what matters is whether a candidate can show measurable results from prior community work.

The Business Case for Getting This Hire Right

Hiring the right community manager is not a "nice to have" cultural initiative. It is a retention, revenue, and product strategy decision. Here is what effective community management delivers:

  • Lower support costs and reduced churn. Active communities generate user generated content and peer support that deflect tickets. Well managed communities reduce customer churn rates and increase customer lifetime value.
  • Faster product feedback. Communities provide valuable market research data for product development. Communities serve as early warning systems for potential issues, surfacing compliance gaps, feature gaps, and usability problems weeks before they escalate.
  • Brand advocacy and organic growth. A well run online community generates word of mouth referrals, user generated content that boosts engagement, and a pipeline of loyal customers who actively promote your product. That is brand loyalty you cannot buy through advertising campaigns.
  • Scalable culture. As your audience grows, engagement, moderation, and member experience become bottlenecks. A dedicated community manager ensures consistency at scale without requiring you to add headcount across customer service teams.

Over 26% of community leaders cite finances influencing community management decisions, which means leadership is increasingly asking for ROI proof. The right hire can tie community health directly to retention metrics and support savings.

Scoping the Role Before You Start Recruiting

How to Define Your Needs Before Opening the Position

Before you write a job description or contact a recruiter, get alignment on three internal questions. Skipping this step is the fastest way to end up with a mismatched hire.

Project Scope and Requirements

Identify the type of community you are building. Is it a brand marketing community, a product user community, a support oriented community, or a hybrid? Each type demands a different skill mix. Clarify which platforms you need coverage on (Slack, Discord, Circle, LinkedIn, Facebook, a custom forum), the current size and maturity of your community, required hours of coverage, and whether you need a senior community strategist or a mid level operator. Community managers should clarify platform goals for effective management before anything else.

Team Structure and Engagement Model

Determine where the community manager reports: marketing, product, or customer success. Define who owns content creation, who owns metrics, and who handles the overlap between moderation, programming, and support. Decide whether you need team leadership from this role or whether they will operate as an individual contributor embedded in a larger function.

In House vs. Dedicated Remote Talent

An in house hire offers deeper alignment with your core team and easier cross functional collaboration. The tradeoff is higher compensation: total cost including benefits, office space, and HR overhead. A dedicated remote specialist provides flexibility and cost efficiency. A mid level community manager in Southeast Asia or Latin America may cost $700 to $1,100 per month, compared to $4,800 to $5,500 per month for a US based hire. The tradeoff is less control over day to day operations and the need for tighter async communication protocols. Fractional or contract to hire models let you test fit before committing; this approach is gaining traction among business leaders who want to validate community ROI before investing in a full time role.

Writing a Job Description That Attracts Top Community Managers

Effective job descriptions should clarify community manager responsibilities, not list vague expectations. A standout description covers four elements:

  • Mission. Why does this community exist? What value does it deliver to members and to the business? Candidates who understand the "why" self select for alignment. For companies in regulated industries (finance, healthcare, energy), the mission should reference compliance requirements and the community focus on trust and data privacy.
  • Stack and context. Name the specific platforms, analytics tools, content creation tools, and collaboration tools the hire will use. Candidates should be familiar with community and CRM platforms relevant to your environment. Technical proficiency with the platform's tech stack is important.
  • Team structure. Who does the community manager report to? Who do they collaborate with? Is there a content team, design support, or a moderator team already in place? This detail helps candidates understand whether they will be building from scratch or optimizing an existing operation.
  • Growth and impact. Define what success looks like: engagement rates, retention metrics, product feedback volume, support ticket reduction, NPS. Include intended scale (from X to Y members) and possible career growth (head of community, building a team). Clear guidelines are important to outline expectations for community managers from the start.
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Sourcing, Vetting, and Onboarding a Community Manager

How to Find and Evaluate the Right Candidate

Sourcing Strategy

Internal referrals from your engineering, product, and support teams often surface strong candidates who already have a deep understanding of community dynamics and your domain. Existing power users within a community can make strong community manager candidates because they already know the culture, the pain points, and the member relationships that matter.

Externally, specialized job boards can be effective for sourcing candidates in community management. Targeted job boards help you reach professionals with specific requirements rather than generalists browsing mainstream platforms. Niche communities (Slack groups, Discord servers, LinkedIn groups for community professionals) are another high signal source. Freelance community managers and fractional specialists are available through talent networks that pre vet candidates, which compresses your hiring process from months to days. The global median time to hire is 38 days for community managers through traditional recruiting channels.

Compare engagement models before you source: full time in house, contract or part time, fractional retainer, agency, or a pod (dedicated specialist plus moderator or content support). Agency models often cost two to three times what a specialist costs per hour, and rotating personnel creates inconsistency in voice and member experience.

Vetting Beyond the Resume

Resumes tell you where someone worked. They do not tell you whether that person can handle a moderation crisis, build an engagement calendar, or translate community sentiment into actionable recommendations for your product team. Here is how to vet for real capability:

  • A portfolio review can provide insight into a candidate's past community management success. Ask for specific metrics: engagement growth, retention improvements, support ticket deflection, community growth milestones.
  • A practical real world task. Using practical assessments can effectively evaluate a candidate's ability to perform the community manager role. Ask them to audit an existing community, design a one month engagement calendar, or draft responses to a conflict scenario. Testing real skills through practical scenarios is essential in the hiring process for community managers.
  • An analytical, problem solving interview. Present a challenge (declining participation, rising toxicity, a product launch that flopped in the community) and ask the candidate to propose interventions backed by data. Behavioral questions can reveal a candidate's thought process and community management style.
  • Culture fit assessment. Soft skills like empathy, active listening, and cultural intelligence are crucial for community managers. Empathy and patience are necessary traits when handling user interactions. Written communication should be clear and friendly to set the tone for a platform. For clients in regulated industries, test whether candidates understand compliance constraints (moderation of sensitive content, privacy laws, financial or medical advice boundaries).

A 30/60/90 Day Plan for Your New Community Manager

Proper onboarding and defining clear roles are important for new community managers. Setting measurable goals and expectations for the first 90 days is crucial. Here is a practical framework:

First 30 days: Immersion. The new community manager absorbs brand voice, product knowledge, existing community culture, and tooling. They shadow current team members, audit community health (engagement patterns, sentiment, onboarding flows, guidelines), and define immediate priorities. Community managers should be empowered with autonomy to make daily decisions, so establish decision rights early.

Days 31 to 60: Execution. Start implementing small programs: weekly discussion threads, improved welcome flows, an initial feedback loop to product. Set baseline metrics for engagement, sentiment, and retention. Establish the cross team communication path with product, support, and marketing so the community manager is not operating in isolation.

Days 61 to 90: Scale planning. Launch larger programs: events, an ambassador program, a content series. Revisit strategy based on 60 days of data. Set long term KPIs and a review cadence. By this point, you should see early signals of whether the hire can drive growth and measure success against the targets you defined in the job description.

Retention matters as much as hiring. Ensure professional development, clear feedback loops, and alignment between the community manager's work and business outcomes. Community managers who feel their work has no visible impact on strategy leave. Provide feedback regularly, give them ownership of the roadmap, and offer flexible working arrangements; most professionals in this space expect remote options.

Evaluating Candidates and Choosing Your Partner

Signals to Watch for During the Hiring Process

Red flags:

  • Reliance on vanity metrics only. If a candidate talks about member counts and follower numbers without context on engagement depth, retention, or community health, they are measuring the wrong things.
  • Poor written or verbal clarity during interviews. Community managers need exceptional communication skills. If they cannot articulate past interventions or strategy clearly, they will not represent your brand well.
  • No examples of conflict resolution or handling difficult community moments. Every community has crises. A candidate who has never navigated one is either inexperienced or not being honest.
  • No analytical thinking. If they cannot describe how they used data to drive a decision or provide feedback to a product team, they are operating on instinct alone. Data analytics proficiency is crucial for community managers.

Green flags:

  • Past results with specifics: engagement increases, retention improvements, product feedback pipelines built, support ticket deflection numbers. Top community managers bring receipts.
  • Strong voice and tone adaptability, with evidence of scaling a community while preserving culture. Community building at scale without losing the member experience is the hardest part of this work.
  • Proactivity during the interview itself: suggesting improvements, detecting issues you did not explicitly ask about, demonstrating a community focus that goes beyond what the job description requested.
  • Cross functional collaboration experience: working with product, engineering, and support teams. Candidates who understand how community feedback shapes roadmap decisions and compliance concerns bring disproportionate value.

How SoftDoes Delivers Community Management Talent

SoftDoes is a North America focused talent delivery partner serving clients across the US and Canada. Rather than leaving you to navigate the hiring process alone, we provide access to carefully vetted senior community management professionals through our talent network. Each candidate goes through technical screening, practical task evaluation, and culture fit assessment before they reach your interview stage.

What sets this apart from hiring through an agency or freelance platform:

  • Team delivery model. Your community manager operates within a support structure, not as an isolated freelancer. Knowledge sharing, backup coverage, and quality oversight are built in.
  • Replacement guarantees. If the initial match does not meet expectations, we replace the specialist without restarting the process from scratch.
  • Flexible engagement models. Start with a single dedicated specialist, scale to a full community management pod (specialist plus moderator plus content support), or run a fractional engagement at 5 to 10 hours per week. Adjust as your community matures.
  • Regulated industry readiness. For custom software development clients in finance, healthcare, or energy, our talent understands compliance constraints, data privacy requirements, and the unique demands of community work in regulated environments.

Community managers should not just moderate or post. They should integrate with product, ensure compliance, support go to market efforts, and drive retention. That is what we deliver.

Ready to Hire a Community Manager?

If you need a community specialist who can drive engagement, build member relationships, and provide feedback loops that improve your product, the next step is a conversation. Schedule a consultation to define your specific requirements, and we will match you with pre vetted talent within days, not months.

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