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Hire remote Content Marketer

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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 Content Marketers 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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RIGHT expert, FASTER

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How to hire a Content Marketer

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 Marketer through SoftDoes?

The typical full cycle from initial consultation to an onboarded hire runs about four to six weeks. That breaks down into one to two weeks for sourcing candidates, one to two weeks for vetting (resume review, practical tasks, and interviews), and roughly one week for offer and negotiation. From there, onboarding begins immediately, with most hires reaching full productivity within 90 days using a structured ramp plan. The exact timeline depends on the specificity of your requirements and vertical focus.

What does it cost to hire a Content Marketer?

In the US, base salaries for content marketers typically range from roughly $58,000 to $180,000 per year depending on seniority, vertical specialization, and location. When you factor in benefits, tools, and overhead, the total cost of a full time employee rises further. Freelance content marketers can be more cost effective than full time hires, especially for project based or fractional work. Senior roles in specialized verticals like healthcare, finance, or AI tend to command a premium. SoftDoes offers flexible engagement models that let you match your budget to your actual content volume and business needs.

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

SoftDoes offers three primary engagement models. A dedicated hire gives you one full time content specialist fully embedded with your team for maximum alignment and continuity. A pod model provides a small multidisciplinary team, for example a content writer, an editor, and a designer, working together to accelerate throughput and cover more content types. Contract or fractional engagements work well for project based needs or when you want to test a content marketing strategy before committing to a long term arrangement. Each model has tradeoffs: dedicated hires offer depth and focus, pods offer breadth and speed, and contracts offer flexibility but require stronger oversight and integration on your side.

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

SoftDoes typically matches remote specialists from regions with reliable working hour overlap with US and Canadian clients. Beyond geography, alignment is built into the process: defined operating hours overlap, asynchronous collaboration tools like Slack and shared calendars, scheduled review syncs, and clear expectations set during onboarding. The goal is that your content marketer is available when your stakeholders need them, while still maintaining the flexibility that makes remote work productive.

How does SoftDoes technically vet a Content Marketer?

The vetting process has multiple layers. It starts with resume screening for domain relevance and a portfolio audit for quality, depth, and versatility across content formats. Candidates then complete practical assignments aligned with the client's vertical, testing their ability to create content that is accurate, engaging, and strategically sound. Interviews with product and engineering stakeholders assess technical accuracy and regulatory awareness. Reference checks and, in some cases, a trial period or pilot content project round out the process before a full engagement begins. A clear strategy aligns content efforts with business objectives, and SoftDoes vets for that strategic capability, not just writing ability.

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

SoftDoes offers a replacement guarantee. If the hire is not working out, you can request a replacement without starting the entire hiring process from scratch. For scaling, the engagement models are designed to flex. You can convert a dedicated hire into a pod, add specialists as content volume grows, reassign focus to different verticals or content types, or pause projects during quieter periods. Freelancers can scale content marketing efforts based on business needs, and SoftDoes brings that same flexibility with the added stability and continuity of a structured delivery partner.

How to Hire a Content Marketer

Most companies post a generic job listing for a content marketer, sift through dozens of resumes, and hire someone who writes decent copy. Three months later, organic traffic is flat, leads are nowhere, stakeholders are frustrated, and the hire has already moved on. This guide walks you through a better approach: how to define what you actually need, write a job description that attracts senior talent, vet candidates beyond the resume, onboard for fast results, and spot the red and green flags that separate the best content marketers from the rest.

What a Content Marketer Really Does (and Why the Role Keeps Evolving)

The Daily Work Behind the Title

A content marketer, sometimes called a content marketing specialist, does far more than write blog posts. In practice, this role plans, creates, distributes, and measures content designed to attract, educate, and convert a specific target audience. In B2B tech and regulated industries, the work also demands technical accuracy, compliance awareness, and close alignment with product and engineering teams.

Here is what the day to day actually looks like:

  • Content and SEO research: Keyword research for technical topics, competitor content audits, content gaps analysis, and identifying questions your potential customers are actually asking. Search engine optimization (SEO) is not a nice to have; it is foundational to making relevant content discoverable.
  • Creating content across formats: Content marketing includes blogs, videos, infographics, and ebooks. Content marketers create case studies and social media updates. They also produce white papers, landing pages, webinar scripts, and sometimes collaborate on product documentation or technical writing.
  • Cross functional collaboration: Working directly with product managers, engineers, legal or compliance teams, UX designers, and sales. Communication skills and cross functional collaboration are key skills for content marketers, especially in regulated environments where every published word carries risk.
  • Managing the editorial calendar: Building and maintaining a content calendar, coordinating production timelines, managing approvals, and running CMS publishing workflows so that consistent content reaches the audience on schedule.
  • Measuring, optimizing, and reporting: Tracking engagement metrics, organic traffic, lead generation, and conversion rates using tools like Google Analytics and marketing automation platforms. Data habits are important for content marketers to assess performance and update old content. Content marketers must adapt content strategy based on analytics and business results.
  • Brand voice and messaging consistency: Defining or enforcing tone of voice, translating complex technical or regulatory topics into compelling content, and ensuring every piece aligns with brand assets and messaging frameworks.

Content marketers need strong writing and editing skills. SEO knowledge is essential for content marketers to rank well. Beyond that, creativity helps content marketers develop unique content ideas, and analytical skills are crucial for adjusting content strategies in a fast moving digital marketing space.

Why Getting This Hire Right Changes the Business

Hiring the right content marketer is not a marketing nice to have. It is a strategic priority that touches revenue, product adoption, and operational efficiency. Strong content marketers connect audience needs with measurable business outcomes.

  • Faster product launches and go to market support: Content that ships alongside new features (release notes, case studies, user guides) reduces friction and accelerates user acquisition. Content types should align with business goals and audience needs.
  • Lower costs over time: Evergreen content reduces support ticket volume. Accurate technical content avoids compliance issues and costly rewrites. Effective content marketing nurtures customer relationships and reduces churn, delivering more value than traditional advertising or paid ads over the long term.
  • Scalable business growth in acquisition and retention: Content marketing can improve brand visibility and organic traffic. A strong long term strategy for distributing valuable, relevant content brings in qualified potential clients and keeps existing customers engaged. Content marketing is crucial for acquiring and retaining customers.
  • Better internal alignment: Clear content processes reduce duplicated work, give stakeholders visibility, and support compliance documentation and audits. The result: a more reliable system where marketing, product, and engineering are not working at cross purposes.

How to Prepare Before You Open the Role

What to Align Internally Before Writing a Job Description

The most common hiring mistake happens before the job post goes live. If your leadership team has not agreed on what this hire will own, what success looks like, and how the role fits into existing teams, you will end up with a mismatched hire regardless of how talented the candidate is.

Project Scope and Requirements

Define the exact requirements for your content marketing efforts. Are you building external thought leadership, product documentation, a help center, white papers, or social campaigns? What volume do you need? What measurable results will define success: website traffic, lead generation, SEO rankings, customer retention? What verticals or topics matter most (cloud security, healthcare compliance, AI/ML, legacy modernization)?

Effective content marketing strategies involve planning and distributing content. Before you hire, map out which content types will drive the primary goal, and which engagement metrics you will track.

Team Structure and Engagement Model

Decide where this content marketer will sit. Product marketing? Engineering? A centralized marketing team? Identify who reviews their work (product experts, legal, design), who they collaborate with daily, and who manages them. Clarify whether the role is an individual content creator or a content marketing manager who will eventually lead others.

In House vs. Dedicated Remote Talent

Hiring a full time employee in house offers closer alignment and faster feedback loops, especially for sensitive or regulated content. But it limits your talent pool and increases overhead. Freelance content marketers are cost effective compared to full time employees and can scale content marketing efforts based on business needs. Dedicated remote talent through a delivery partner brings specialized senior experience and more flexibility.

The tradeoff: remote setups require strong onboarding, clear communication, and disciplined processes for version control and security. Freelance content marketers enhance digital landscapes with SEO expertise and can produce various content types like blogs and videos.

Writing a Job Description That Attracts Senior Talent

A good job post should specify responsibilities and required skills. But the best job descriptions do more than list requirements. They tell a story about the mission, the context, and the opportunity. Here are four elements every standout posting must cover:

  • The mission: What problem is this content hire solving? What is the primary goal in the first six months? Describe the target audience and the verticals they will serve. Be specific enough that a seasoned content marketing expert can immediately see how their previous work maps to your business needs.
  • The stack and context: What tools will they use (CMS, SEO platforms, analytics, design tools)? What existing brand assets and content do you have, or lack? What compliance constraints apply? How does content fit into your marketing strategy and product roadmap?
  • Team structure: Who do they report to? Who are the cross functional partners (engineering, product, compliance, UX, sales, legal)? Is this a solo role or part of a team? Will they mentor or be mentored?
  • Growth and impact: What career progression looks like. What ownership, budget, and scope they can expect. Whether the role is remote or hybrid. Expectations around ongoing learning and professional development.

Avoid listing every possible skill. Overloading with requirements deters strong candidates and signals unrealistic expectations.

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Sourcing, Screening, and Setting Up for Success

How to Find and Vet a Content Marketer Worth Hiring

Sourcing Strategy

Cast a wide net, but fish in the right ponds. Use job boards that cater to digital marketing and content marketing specialists. Tap recruiting networks, referrals, content marketing communities, and LinkedIn. For senior hires, consider passive sourcing through headhunters or specialized talent networks that pre vet candidates for technical and industry expertise.

Compare outbound recruiting with vetted talent networks. Outbound gives you control but moves slowly. A vetted network costs more upfront but saves weeks of screening and delivers a higher baseline of quality and domain relevance. Content marketers should be adaptable to changing digital landscapes, and the best sourcing strategies account for that.

Vetting Beyond the Resume

Hiring skilled content marketers requires testing their actual ability to strategize and write. Resumes and portfolios tell only part of the story. Practical assessments can expose skills that interviews and portfolios may obscure.

  • Technical screening: Ask about their experience with specific tools, their approach to search engine optimization SEO, and their ability to navigate regulated industry content constraints. Candidates should demonstrate understanding of search optimization and performance measurement metrics. Content marketers should have strong writing and SEO skills.
  • Practical real world task: Give a task aligned with your business. Ask them to edit existing product documentation for clarity and compliance, create an outline for a thought leadership article in your domain, or propose a content strategy framework for a specific product. A practical skills test can effectively evaluate a candidate's content marketing abilities. Review writing samples carefully. Evaluating candidates' portfolios reveals storytelling ability and adaptability to different formats.
  • Analytical and problem solving interview: Case questions about content strategy. How would they increase organic traffic for a legacy product? How would they build brand awareness for a new AI module in a regulated market? Content marketers should possess business and data acumen to analyze performance and tie content to sales.
  • Culture fit: Discuss values around accuracy, feedback, autonomy, and collaboration. Assess how they handle deadlines, ambiguity, and stakeholder pushback. Clear communication matters as much as editing skills when working with cross functional teams.

Evaluate candidates by reviewing their portfolios and previous work. Look for industry knowledge in your vertical: finance, healthcare, education, or any domain where regulatory constraints, privacy requirements, or hierarchical decision making are part of the landscape.

Building a 30/60/90 Day Onboarding Plan That Actually Works

Most content hires fail not because they lack talent, but because onboarding is an afterthought. Use a structured 30/60/90 day ramp:

First 30 days: Immerse in the business. Map the customer journey, product, competitive landscape, and compliance requirements. Conduct a content audit. Learn the brand voice. Meet every key stakeholder. Access all tools. Deliver small outputs like audit findings or a strategy memo.

Days 31 through 60: Begin contributing. Publish new content. Run initial social campaigns or email marketing sequences. Engage feedback loops. Track early engagement metrics and website traffic. Collaborate on cross functional projects and refine workflows.

Days 61 through 90: Full ownership. Manage end to end content streams. Provide strategic input into the editorial calendar and content roadmap. Own metrics and reporting. Possibly lead small projects or mentor junior team members. Align content outputs directly with revenue, lead generation, or product adoption outcomes.

Retention strategies matter just as much as onboarding. Provide regular feedback, recognize impact, invest in professional development, clarify the career path, and manage scope creep before it burns out a strong hire.

Choosing the Right Candidate and the Right Partner

Warning Signs and Winning Signals in the Hiring Process

Red flags that should slow you down:

  • Vague descriptions of previous work. Statements like "I wrote content" or "improved traffic" with no metrics, no specifics, and no measurable results. The best content marketers can tie their work to business outcomes.
  • Tool obsession without strategic thinking. A candidate who lists every SEO and analytics tool but cannot explain how those tools informed their content marketing strategies or drove conversion rates.
  • Portfolio mismatch. Writing samples that are fluffy, overly generic, or clearly outside your industry. For B2B tech or regulated verticals, surface level content is a disqualifier.
  • "Do everything" job descriptions or expectations. If the role expects one person to handle SEO, video production, graphic design, social media marketing, paid ads, email marketing, public relations, web development, and community building with no support, that is a red flag on the employer side, and experienced candidates will walk away.

Green flags that signal a strong hire:

  • Specific, data backed results. Candidates who can describe traffic growth, lead generation lift, or reduced support costs with data, ideally in similar technical or regulated verticals. A proven track record speaks louder than promises.
  • Deep domain knowledge. Understanding of technical content, regulatory constraints, product or cloud engineering, AI/ML, or compliance. They know how to create content that is both accurate and accessible.
  • Collaboration under pressure. Evidence of working effectively with product managers, engineers, legal teams, or UX designers. They handle complex reviews and feedback without friction.
  • Learning mindset and adaptability. Keeping up with content engineering, structured data, algorithm changes, and evolving tools in the digital marketing space. They experiment, iterate, and improve.

Why Working With SoftDoes Removes the Risk

SoftDoes combines senior vetted talent with a team delivery model rather than isolated freelancers. Through our services, you get content marketing specialists who have proven themselves in enterprise and regulated environments, spanning compliance, scalability, cloud, and AI/ML.

Flexible engagement models let you start with a single specialist and scale to a full pod as your business needs evolve. Replacement guarantees mean that if a hire is not the right fit, you are not stuck. And because SoftDoes's processes are built around alignment with your product and engineering roadmap, regulatory obligations, and quality standards, you avoid the brand voice drift and compliance gaps that plague typical freelance arrangements.

Freelance content marketers help businesses improve brand visibility and engagement, but without structure, oversight, and continuity, those gains are fragile. SoftDoes provides the structure. You can also explore options for content strategist talent when your needs extend beyond execution into high level content strategy.

Ready to Hire a Content Marketer?

If you are looking for a content marketing expert who understands your buyers, your product, and your compliance requirements, and who can deliver impactful campaigns tied to real business growth, the next step is simple.

Schedule a discovery call with SoftDoes. We will map your content needs, vertical requirements, the metrics you need to hit, and your timeline, then propose the right candidates or pod model to get you there. No guesswork, no wasted months, just the right content marketer delivering measurable results.

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