Hire Content Managers With U.S. Support

Looking to hire a Content Manager? Our Content Managers bring senior-level expertise, backed by a U.S. delivery team.

HIRE NOW
  • 100+

    Fully Vetted Developers

  • 24h

    Average Matching Time

  • 300

    Project Delivered

net-developers-iowa certificate
angular-developers-oklahoma-city certificate
app-development-kansas certificate
ai-company-kansas certificate
ai-company-south-dakota certificate
computer-vision-denver certificate
drupal-developers-wyoming certificate
flutter-developers-maryland certificate
generative-ai-boston certificate
generative-ai-seattle certificate
java-developers-alabama certificate
java-developers-idaho certificate
laravel-developers-denver certificate
machine-learning-kansas-city certificate
nextjs-developer-portland certificate
nodejs-developers-albuquerque certificate
php-developers-little-rock certificate
python-django-developers-denver certificate
react-native-developer-indiana certificate
react-native-developer-nashville certificate
software-developers-albuquerque certificate
software-developers-west-virginia certificate
swift-company-alabama certificate
web-developers-little-rock certificate

Hire remote Content 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.

Andrew V.
Available Now
Verified in SoftDoesAndrew 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.

Andrew V.
Available Now
Andrew 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.

Andrew V.
Available Now
Andrew 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.

Discover More Content Managers in the SoftDoes NetworkRegister to view more

What our Content 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.

Explore Services

FIND THE
RIGHT expert, FASTER

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

How to hire a Content 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 Content Manager through SoftDoes?

For senior level content manager roles in enterprise environments, a typical hiring pipeline from profile definition to final offer runs six to eight weeks minimum through traditional channels. Working with SoftDoes and our vetted talent network compresses that to three to five weeks, and often faster. Because we maintain a pre screened bench of senior content operators with proven track records in technical content, regulated industries, and cross functional environments, we eliminate the weeks typically lost to sourcing, initial screening, and candidate ghosting. Once we align on your requirements through a technical discovery session, we match candidates to your specific engineering workflows and content architecture needs, not just to a generic content manager job description.

What does it cost to hire a Content Manager?

Senior Content Manager total compensation typically ranges from approximately $109,000 to $181,000 per year including base salary, bonus, and equity, with the median landing around $139,000 in most markets. Content managers typically earn between $52K and $87K per year at mid level, while the average wage for a content manager is $26.50 per hour for more junior roles. In enterprise, regulated sectors, or high cost cities, total pay skews higher. For dedicated remote talent or contract engagements through SoftDoes, expect competitive compensation calibrated to seniority, plus the cost savings from reduced onboarding time, lower overhead, and the elimination of recruiting fees and bad hire risk. Factor in the cost of tooling, content backlog cleanup, and ramp time when budgeting. The real question is not what a content manager costs but what not having one costs you in delayed launches, engineer hours, and compliance exposure.

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

SoftDoes offers multiple engagement models designed for different operational needs. A dedicated remote senior hire provides deep alignment with your team at lower overhead than an in house FTE, backed by our engineering oversight and replacement guarantee. A content pod model combines a senior content manager with supporting writers, editors, and localization specialists under a single oversight structure, ideal for scaling content operations across multiple channels and geographies. A contract or fractional engagement works well for transitional needs or establishing a content strategy foundation before committing to a full time role. Every model includes engineering led delivery oversight, and you can scale up or down based on product cycles without the friction of traditional hiring or termination processes.

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

Time zone alignment is a critical operational concern for distributed teams, especially when content workflows touch engineering, product, legal, and UX stakeholders across different locations. SoftDoes sources talent within time zones that provide substantive overlap with your core team, typically within a three hour window, ensuring real time collaboration during critical working hours. For clients across the US and Canada, we establish defined "core hours" where all stakeholders are available for synchronous communication, reviews, and approvals, while enabling asynchronous deep work during off peak periods. This structure ensures content production cadence remains uninterrupted without forcing artificial schedules that degrade work quality or lead to burnout.

How does SoftDoes technically vet a Content Manager?

Our vetting process mirrors the technical evaluation pipeline described in this playbook because we built it from operational experience. Every candidate goes through a real world content system challenge, not trivia questions, where they audit a messy content structure, propose a reorganized taxonomy, and demonstrate tradeoff reasoning. They complete a scenario based architecture review, sketching how content flows through CMS, versioning, localization, and templates. We evaluate communication under pressure through simulated cross functional scenarios with tight deadlines and shifting requirements. And we assess cross functional culture fit by testing whether candidates can challenge product and engineering teams constructively. We also review portfolios for quantifiable outcomes, not just polished writing samples. This process filters for operators who can manage content production at scale, drive engagement, and deliver against business goals from day one.

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

SoftDoes provides a zero risk replacement guarantee. If the content manager we deploy does not meet your engineering and content standards, we replace them immediately at no additional cost. There is no prolonged performance improvement process or HR overhead on your end. When your needs change, whether you are scaling up for a product launch across new markets or scaling down after a major initiative, we adjust staffing through our pod model and flexible contract structures. You can add junior support under the senior content manager, split responsibilities across channels, or restructure the engagement entirely. Our goal is to make your content operations as elastic as your engineering needs demand, without the friction, risk, or overhead of traditional hiring and termination cycles.

The Executive Guide to Hiring a Content Manager

A single bad content manager hire can silently drain six figures in lost engineering hours, delayed launches, and compliance rework before anyone flags the problem. A great one accelerates product velocity, reduces content debt, and turns your content operation into a measurable revenue driver. This is the field tested playbook for defining, vetting, and onboarding top tier Content Manager talent, built from the engineering trenches for leaders who cannot afford to get it wrong.

What a Content Manager Hire Actually Costs You When You Get It Wrong

What Separates a Senior Content Manager from an Order Taker

Most executives think hiring a content manager means finding someone with strong writing skills who can publish blogs and social media posts on schedule. That thinking is exactly why so many content hires fail.

A true senior Content Manager, or Content Operator, owns content systems with engineering level rigor. They do not wait for briefs. They architect the machine that produces, governs, and scales digital content across multiple channels. Here is what their daily operational reality actually looks like:

  • Content architecture ownership: Designing structured content models (JSON, XML, Markdown), taxonomy, modular templates, and reuse frameworks inside content management systems, not just writing copy
  • Cross functional alignment: Collaborating directly with engineering, product, UX, legal, and graphic designers to ensure content ships with the product, not weeks after
  • Tradeoff management: Balancing speed against accuracy against compliance against scalable reuse, then making the call and owning the outcome
  • Performance analytics and ROI reporting: Tracking key performance indicators like time to publish, content ROI, bounce rates, and iteration speed using tools like Google Analytics, then using that data to refine strategies based on performance insights
  • Automation and workflow optimization: Reducing manual steps through CI/CD processes for content, AI assisted drafting, and editorial calendar automation across platforms
  • Governance and compliance enforcement: Maintaining audit trails, version control, accessibility standards, and regulatory accuracy, especially critical in regulated industries

Content managers oversee digital marketing content across various platforms. A great content manager does not just create engaging content. They build the system that makes quality content repeatable, measurable, and scalable. They protect the brand's tone and voice during editorial processes while simplifying complex ideas without losing nuance. That is the difference between an order taker and someone who moves the business forward.

The Business Case: Financial and Operational Impact

The financial argument for hiring right is not abstract. Here are the concrete ROI vectors that justify the investment and expose the cost of delay:

  • Technical debt reduction: Legacy content that is inconsistent or duplicated imposes hidden maintenance costs. A skilled content manager eliminates duplication, enables content reuse, simplifies localization, and cuts error correction cycles across QA, legal, and compliance. One ECM study found organizations saw $8.55 in benefit for every dollar spent on content management.
  • Faster deployment cycles: When content production is planned alongside the product roadmap, launches ship complete. Without that alignment, engineering teams finish builds that sit unpublished for weeks because content is not ready, a bottleneck that directly delays revenue.
  • Infrastructure and tooling optimization: Consolidating fragmented content management systems, automating repetitive tasks, and introducing component content management lowers total cost of ownership. Organizations that modernize their CMS have reported reductions in internal service tickets by over 50%.
  • Risk mitigation in regulated industries: In finance, healthcare, and education, poor content governance risks compliance violations, audit failures, and misleading public facing information. A senior Content Operator reduces that exposure systematically, not reactively.
  • Revenue acceleration: Better web content supports search engines, localization, and campaign launches. Content should align with broader business goals. Faster, higher quality content means quicker entry to new markets and less friction in the sales process. Organizations using AI enabled CMS modernization have reported significantly higher revenue impact and improved ability to meet content demand.

The hidden costs of a bad hire or slow hiring pipeline are just as severe: product launches stall, brand identity erodes, engineers waste cycles on non engineering tasks like manual content fixes, and top talent leaves from frustration. In a market where 85% of marketers saw increased demand for content and 92% of B2B tech marketers created even more, you cannot afford a content bottleneck.

Before You Post a Single Job Listing

Auditing Your Technical Constraints Before the Search Begins

Every failed content manager hire traces back to the same root cause: the company did not know what problem they were actually solving. Before you write a content manager job description, complete three audits.

Architecture and Debt Audit

Map every content asset your organization produces: blogs, help documentation, UI text, localization files, regulatory content, social media content, sales enablement materials. Document how it is stored (which CMS, which repositories), what technical constraints exist (fragmented tools, inconsistent taxonomy, missing governance), and where the biggest friction points live. Which content consistently misses deadlines? Where does compliance rework happen? What content types require engineering involvement that should not? The answer tells you what problem this hire must solve first.

Team Dynamics and Autonomy Level

Determine whether you are embedding this hire inside product engineering, marketing, or a regulatory team, or whether you are building a dedicated content pod with writers, editors, and localization support. An embedded specialist needs significant cross functional authority and the ability to manage multiple projects simultaneously. A pod leader needs management experience and the ability to scale a team. Content managers should manage deadlines, writers, and channels effectively. This decision shapes every downstream hiring criterion.

Deployment Model Dynamics

A full time in house FTE delivers the deepest alignment but carries the highest fixed cost and longest ramp. A dedicated remote senior hire through a vetted talent network offers flexibility, faster deployment, and lower overhead, with risk mitigated through replacement guarantees and engineering oversight. For transitional needs, a contract or fractional engagement works, but carries less long term ownership. SoftDoes provides the senior, resilient talent plus the oversight structure that eliminates the risk gap between these models.

Engineering the Ideal Profile, Not a Generic Job Spec

Stop writing generic job descriptions stuffed with every possible responsibility. A compelling job title reflects your content manager needs, but the profile itself must be built around four essential components:

  1. Core outcome and mission: What is the business mission of content in your organization? Improving time to market? Reducing engineering bottlenecks? Enabling compliance at scale? Boosting product adoption across geographies? The profile must center on outcomes, not a laundry list of tasks. Include a detailed list of duties in the job description, but anchor every duty to a business goal. Set clear expectations for results like boosting sales, driving traffic, or reducing content debt.
  2. Technical stack reality: Specify required skills like SEO and CMS familiarity. Which content management systems, authoring tools, localization platforms, and analytics stacks does your company use today and plan to adopt? Headless CMS versus legacy monolith, multi brand versus single brand, component content systems: the right content manager must have direct experience or demonstrable capacity with your actual environment. Candidates should demonstrate knowledge of SEO, SEM, and SMM best practices.
  3. Decision making authority: How much influence will this role carry? Can they make decisions about governance, content structure, staffing, and tooling selection? Ambiguity here is the number one reason strong candidates disengage or underperform. Clarity on authority attracts qualified candidates and repels order takers.
  4. Growth trajectory and scalability: Will the content manager role grow into managing a team, owning the entire content function, or scaling across geographies and multiple channels? Use keywords job seekers search for in your description, and be explicit about growth. Strong candidates want to know their trajectory, not just their task list.
To Contact Page

Let’s Turn Your Idea into Scalable Software

Book a call with the representative to get answers to all the questions you may have.

Contact us

The Vetting and Onboarding Playbook That Eliminates Risk

A Battle Tested Framework for Finding Strong Candidates

Sourcing Reality

Traditional recruiters deliver candidates who look polished on paper but collapse under technical scope, ownership expectations, or cross functional pressure. They optimize for keyword matching against a content manager job description, not for operational impact. Vetted engineering talent networks, like the one SoftDoes operates through our talent solutions, provide faster access to outcome oriented individuals whose portfolios show quantifiable wins, system design examples, and previous work that moved business metrics, not just writing samples.

A strong content manager portfolio should include diverse content types. Look for candidates with over five years of experience, as they are considered highly skilled. Content managers typically have 3 to 5 years of experience in the field, but expert level operators bring more than five, with a track record of scaling content operations, not just producing content. Demand for content is expected to surge dramatically, and in recent years companies sought to fill tens of thousands of content manager jobs across the US alone. Half of B2B content marketers plan to increase their budget. That means the competition for skilled content managers is fierce, and speed matters.

Technical Evaluation Pipeline

Forget trivia based interviews. Here is what actually reveals whether a candidate can operate at the level you need:

  • Live problem solving over trivia: Present a real content system challenge from your environment. Ask them to audit a messy content structure, propose a reorganized taxonomy, or redesign a workflow. Evaluate their tradeoff decisions, not their vocabulary. Problem solving abilities matter more than tool name dropping.
  • Real world scenario architecture review: Ask the candidate to sketch a content model showing how content flows through CMS and tools, including versioning, localization, templates, and editorial planning. This exposes whether they think in systems or just in documents.
  • Communication under pressure: Senior content roles demand cross functional communication with engineers, legal teams, product, and UX. Simulate pressure with a tight deadline and shifting requirements. Observe how they prioritize, clarify ambiguities, and communicate tradeoffs. Strong communication skills are essential for content managers.
  • Cross functional culture fit: Test whether they will own content quality across silos. Are they comfortable challenging product or engineering teams when content clarity is at stake? Behavioral questions are important to assess strategic thinking in candidates. Candidates should demonstrate effective stakeholder management skills.

The First 90 Days: A Frictionless Ramp Up Protocol

A new content manager should be publishing on cadence within roughly four weeks and taking genuine ownership, not being micromanaged. Here is the 30/60/90 day milestone roadmap that ensures immediate ROI:

  • Days 1 through 30 (Immersion): Audit existing content assets, map content debt, identify the critical content backlog, and understand every stakeholder, tool chain, approval flow, and bottleneck. Align on performance tracking metrics: time to publish, error rate, revision cycles, SEO performance, user engagement. Conduct content audits across all channels.
  • Days 30 through 60 (System Building): Establish content hygiene through style guides, governance frameworks, and workflows. Execute rapid wins: fix high traffic pages, reduce duplication, localize a small content set, create templates for recurring content types. Begin aligning editorial planning and content creation with the product roadmap. This is where a content strategist proves their value.
  • Days 60 through 90 (Strategic Impact): Deliver a content playbook and forward looking roadmap. Report wins in the language executives care about: speed improvements, risk reduction, revenue lift, engineering hours reclaimed. Propose structural improvements for scale. Measure early indicators of ROI using performance metrics and Google Analytics. Candidates should be able to prioritize content based on business objectives, and this phase proves whether they can.

Making the Call That Protects Your Engineering Budget

Interview Signals: Red Flags vs. Green Flags

After years of vetting content talent for enterprise and scale up clients, these are the signals that predict success or failure.

Red Flags:

  • Tool obsession without tradeoff reasoning: The candidate lists every platform they have touched but cannot articulate when they removed a tool, simplified a workflow, or chose one content management system over another and why. Technical skills alone do not make a hire.
  • Inability to discuss past failures: No postmortems, no tradeoff narratives, every project described as a flawless success. This signals either inexperience or dishonesty. Real operators have battle scars.
  • Overemphasis on editorial without systems ownership: Writing skills and editing are essential, but if the candidate only talks about copy quality and never mentions governance, taxonomy, content production workflows, or analytics, they are a writer, not a manager.
  • Order taker language: Phrases like "I follow briefs," "marketing tells me topics," or "I just execute what the team decides" reveal someone who wears many hats but owns nothing. A content manager who cannot shape content strategy will not drive engagement or business outcomes.

Green Flags:

  • Pragmatic tradeoff analysis: When asked about a time content quality conflicted with speed or resources, they clearly explain what they chose, why, and what they would do differently. Candidates should balance creative storytelling with analytical execution.
  • Data and system integrity focus: They know performance metrics, analytics tools, keyword research methodology, search intent, and how to enforce quality and accessibility standards. Analytics are increasingly a core requirement in content roles. A content manager needs to conduct keyword research and analyze performance metrics and report on ROI.
  • Proactive risk identification: They spot compliance, localization, legal, and consistency risks before being asked, and propose mechanisms (peer review, governance, structured content) to mitigate them. Content managers need a strong grasp of grammar and tone adaptation across different contexts.
  • Ownership mindset with cross functional leadership: They tell stories about how they brought together product, engineering, UX, and legal to define content workflows. They manage up and across, not just down. Graduate level competencies include content strategy, stakeholder management, and analytics. Project management skills are important for content managers.

Why SoftDoes Is the Strategic Advantage

Most companies approach hiring a content manager the same way they have for a decade: write a generic job description, post it on job boards, wait weeks, interview a dozen unqualified candidates, and hope for the best. Meanwhile, engineering cycles burn, product launches stall, and content debt compounds.

SoftDoes eliminates that entire risk surface. As a North America focused custom software engineering, data, and AI partner serving clients across the US and Canada, we bring a fundamentally different model to content talent deployment. We provide battle tested senior talent, not junior creators learning on your budget. Every content manager and content marketing specialist in our network has been vetted through the same technical evaluation pipeline described above. Our engineering led delivery oversight means your content operations are managed by technical leads who understand product complexity, not by unmanaged freelancers or disconnected marketing teams.

We deploy rapidly, typically cutting weeks off traditional recruitment timelines. We scale up or down based on your product cycles and engineering priorities. And our zero risk replacement guarantee means if performance does not meet your standards, we replace the hire immediately.

Hiring a content manager can transform a brand's voice and drive organic growth. The right content manager will manage your editorial calendar, drive traffic to your websites, maintain a consistent brand voice across social media platforms, oversee social media management alongside your social media manager, handle digital marketing initiatives, and deliver regular updates on content performance. They wear many hats: content creation, editing, graphic design coordination with graphic designers, keyword research for search engines, performance tracking through key performance indicators, and monetization techniques that directly support business goals.

Whether you need a dedicated hire for ongoing content management, a content pod for scaling across markets, or a fractional content strategist to establish your content strategy foundation, our services are built for leaders who measure talent by output, not by headcount.

Your Next Move

Every week without the right content manager in place is a week of compounding content debt, missed market windows, and engineering resources diverted to non engineering work. The new content manager your organization needs is not on a job board waiting to be found. They are in a vetted network, ready to deploy.

Book a technical discovery session with SoftDoes architects. We will audit your content infrastructure, define the ideal profile together, and match you with a highly skilled Content Operator who delivers measurable impact from week one.

Flag icon

U.S.-Based

Discuss Your Project

This is a no-pressure, 30-minute conversation. We will talk through what you are building, identify risks or unknowns, and outline what it would take to do it right.

Certificates

Let's build together.

Talk with a senior engineer about your product idea, architecture, and what it would take to build it.

Upload File