Hire Corporate Communications Managers Backed by a U.S. Delivery Team

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Hire remote Corporate Communications Manager

Discover developers that match your project requirements.

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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What our Corporate Communications Managers can build

Not sure which engagement model fits?

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

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How to hire a Corporate Communications 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 Corporate Communications Manager through SoftDoes?

Traditional senior communications manager recruitment cycles often stretch to eight to twelve weeks or longer when you factor in sourcing, multiple interview rounds, offer negotiation, and notice periods. Through SoftDoes, our prescreened talent network and engineering led evaluation pipeline compress that timeline significantly. Most clients see qualified, vetted candidates presented within two to three weeks, with full deployment possible in four to six weeks depending on your internal decision making speed and onboarding requirements. The difference comes from having a bench of professionals who have already been assessed for technical fluency, crisis management capability, and cross functional communication skills before your search even begins.

What does it cost to hire a Corporate Communications Manager?

The salary range for corporate communications managers is $100,000 to $125,000 for mid level roles in major US markets, with senior positions commanding $150,000 and above depending on industry, scope, and technical complexity. The median annual salary for corporate communications managers was $86,000 in 2022, with the lowest 10% earning about $61,000 annually and the highest 10% earning about $118,000 annually. Remote communications managers in the US earn an average of $121,762 per year. Beyond base compensation, you should budget for loaded costs including health insurance, benefits, tools, onboarding, and any agency or vendor relationships the hire will manage. The more important number to keep in mind is the cost of a bad hire, which typically runs 1.5x to 3x the annual compensation when you account for lost productivity, reputational damage, and replacement costs.

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

SoftDoes offers multiple engagement models to match your organizational needs and budget. A dedicated full time hire provides maximum consistency, cultural integration, and long term ownership of your communications function. Contract or fractional engagements work well for specific campaigns, product launches, or interim leadership during transitions. For companies that need broader communications support, a pod model integrating a communications manager with supporting specialists such as technical writers or social media managers provides scalable coverage without the overhead of building an entire team internally. Each model has tradeoffs in ownership depth, response latency, and cost, and we help you select the right structure during our discovery process.

How do you ensure time zone alignment with a Corporate Communications Manager?

For remote or distributed placements, we prioritize candidates who already have a strong track record working with US and Canadian leadership teams across time zones. We define overlapping core hours with your executive team, typically a minimum four to five hour daily window, and establish communication cadences that absorb any remaining time lag. For crisis communications specifically, we ensure the hire has proven experience with rapid response protocols that do not depend on synchronous availability. Our focus on North America based talent means most placements share continental time zones with your leadership team, eliminating the friction that offshore communications support often introduces.

How does SoftDoes technically vet a Corporate Communications Manager?

Our vetting process goes well beyond resume review and reference calls. We start with portfolio and body of work analysis, evaluating the quality and impact of press releases, executive communications, crisis response documents, and leadership content the candidate has produced. We then run scenario based evaluations: live crisis simulations, messaging risk architecture reviews, and pressure communication exercises that mirror real business situations. We conduct reference checks specifically with technical stakeholders such as CTOs, product leaders, and engineering managers, not just marketing peers. Candidates also complete trial assignments relevant to your industry and product complexity. Every candidate is assessed for writing skills, strategic judgment, engineering literacy, excellent interpersonal collaboration, and the ability to work closely with cross functional teams under pressure.

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

Our zero risk replacement guarantee means that if the communications manager does not meet defined performance metrics within the first 90 days, we provide an immediate replacement from our talent bench at no additional cost. We build clear performance milestones into every engagement from the start, so "fit" is measured against objective business outcomes, not subjective impressions. If your needs change due to product launch cycles, market conditions, or organizational changes, we offer the flexibility to scale your communications support up or down without long term contractual friction. Transition plans for stepping up or stepping down responsibilities are built into every engagement model, ensuring continuity of messaging and stakeholder relationships regardless of team changes.

The Executive Guide to Hiring a Corporate Communications Manager

A single bad communications hire can quietly drain six figures in salary, benefits, and opportunity cost before anyone notices the damage. Multiply that by the reputational fallout from a botched product launch or a mishandled crisis, and you are looking at losses that ripple through your organization for years. This playbook gives you a field tested strategy to define, vet, and onboard top tier Corporate Communications Manager talent, built from the perspective of engineering leaders who have seen what works and what burns.

What Actually Separates a Strategic Communications Leader from a Content Order Taker

The Operational Realities That Define a Senior Corporate Communications Manager

Most job descriptions for communications manager jobs read like wishlists written by someone who has never managed a product launch under regulatory pressure. The real scope of this key role is business impact, not word count. Corporate Communications Managers develop internal and external communication strategies that touch every revenue lever and risk vector in your organization. Here is what senior talent actually owns day to day:

  • Architecting enterprise message frameworks. Defining core narratives, voice and tone guidelines, and external story arcs that align with product roadmaps, regulatory climates, and investor expectations. This is strategic communication, not template filling.
  • Stakeholder and channel mapping across key functional areas. Coordinating communications stakeholders from engineering and product to legal, sales, media, analysts, and regulatory bodies. Deciding what gets communicated where, when, and to whom requires a detail oriented operator who can manage multiple projects simultaneously.
  • Crisis and risk tradeoff management. Choosing when transparency serves the company's brand and when it creates legal exposure. Crisis management requires calmness under pressure and reputation damage control, and the best people build response frameworks before they are needed.
  • Metrics driven feedback loops. Measuring awareness, sentiment, media coverage quality, and internal engagement against cost. Organizations with strong communications see better stakeholder engagement, but only when leaders demand real data instead of vanity metrics.
  • Engineering and product literacy. Translating cloud architecture, AI and ML workflows, data privacy constraints, and security incidents for external audiences without misleading anyone. This is not optional in a technology company.
  • Integrated program ownership. Designing campaigns that cross public relations, internal communications, product announcements, analyst briefings, executive messaging, and community engagement. Owning end to end execution, vendor or agency relationships, budgets, and team coordination.

A focus on strategic judgment instead of just writing ability is important during the hiring process. The senior hire anticipates issues and weighs business risk. The order taker waits for a brief and applies a template.

The Financial and Operational Case You Cannot Ignore

Corporate communications can drive business success and growth, but the inverse is equally true: a weak or missing communications function creates compounding cost. Here are the concrete ROI vectors that justify this investment:

  • Risk mitigation and regulatory compliance savings. In regulated industries, a single misstatement in a press release or investor communication can trigger multi million dollar fines. A strong communications manager ensures legal alignment, pre clearance, and issues management before problems become public.
  • Faster go to market and product launch velocity. Effective internal and external communications eliminate the internal delays that kill launch timelines. When engineering, product, marketing, and legal are aligned on messaging, you cut rework of collateral and avoid press problems that slow momentum.
  • Brand equity and lower customer acquisition cost. Effective corporate communications enhance brand awareness and trust. Positive media relations, thought leadership, and analyst coverage increase willingness to pay and reduce churn, especially in mission critical enterprise software.
  • Employee engagement, retention, and productivity gains. Strong internal communications improve employee satisfaction and engagement. Clear employee communications around strategy, organizational changes, and technical vision reduce misunderstanding, lower attrition, and cut downstream hiring and onboarding costs.

Poor hires at this level cost between 1.5x and 3x annual compensation when you factor in manhours, opportunity cost, cultural damage, and replacement cycles. For leadership positions, a failed hire who stays in place for six to twelve months can generate losses that influence the business for two to three years beyond removal.

Building the Foundation Before You Start Sourcing

Auditing Your Technical Constraints Before Writing a Single Job Spec

Before posting a role or calling a communications agency, you need to understand exactly what problem this hire must solve. Skipping this step is the single biggest reason engineering leaders end up with a generalist who cannot operate in a technical environment.

Messaging Architecture and Debt Assessment

Start with a hard look at your current state. Do you have misaligned documents across product, marketing, legal, and support? Are privacy, security, and ethical AI statements consistent? Is your corporate website content outdated? Are release notes unmaintained and product documentation lagging? Every gap you identify becomes a first quarter deliverable for your new hire. This audit defines priority, not the job board.

Team Dynamics and Autonomy Level

Decide reporting structure early. Does this communications manager report to the CMO, the CTO, or the Office of the CEO? Autonomy expectations directly affect the caliber of candidate you attract. Clarify whether the role manages content creators, freelancers, or an external agency, or whether it is entirely hands on. If the hire needs to sit in on sprint reviews or technical design sessions to anticipate risk or narrative, they need the authority to request technical briefings and the confidence to challenge senior leaders when messaging is off.

Deployment Model Dynamics

Weigh the tradeoffs between an in house FTE, a remote dedicated hire, or a contract engagement. In house provides consistency and cultural integration. Remote can reduce cost but introduces timezone and alignment friction. Contractors or agencies may handle execution but rarely develop deep business domain ownership. For organizations that need the flexibility to scale up or down based on product launch cycles, a vetted talent network with a replacement guarantee often outperforms traditional recruitment.

Engineering a Performance Driven Profile, Not a Generic Job Spec

Stop listing tasks. Start profiling outcomes, domain fit, decision authority, and growth trajectory. Candidates typically need at least five years of relevant experience, and the strongest will bring five to seven years of public relations or media relations experience in technical environments. A bachelor's degree in communications or related field is often required, but what matters more is proven experience translating complex technology into clear, accurate messaging. Here are the four essential profile components:

  1. Core outcome and mission. Define what success looks like in six to twelve months. Examples: reducing external misstatements to zero, launching a defined number of thought leadership pieces, improving employee engagement scores, or cutting media response time in half. Candidates should demonstrate how previous communications strategies achieved business outcomes.
  2. Technical stack reality. Detail your software stack, product complexity, and regulatory environment. Does this hire need to create digital content about cloud architecture, AI and ML pipelines, or compliance workflows? Or is the expectation mainly high level executive communications and leadership content? Competence in modern content platforms and analytics tools is essential for digital literacy.
  3. Decision making authority and budget ownership. Does this hire set content calendars, manage media outreach, hire external agencies, approve messaging without legal supervision, or represent the company at events? Senior candidates self select when you are clear about authority.
  4. Growth trajectory and long term growth path. Is this role expected to evolve into a senior director of communications, head of corporate affairs, or broad public affairs leadership? High caliber talent wants to see a career path, not just a job.
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The Rigorous Vetting and Onboarding Playbook

A Battle Tested Vetting Framework That Actually Works

Sourcing Reality

Traditional executive recruiters consistently miss the intersection of technology domain fluency, crisis management preparedness, and strategic communication capability. They fill roles with polished presenters who cannot survive their first product incident. Prescreened engineering aware talent networks, like those offered through our services, provide access to communications professionals who already understand product architecture, developer ecosystems, and technical audiences. Referral systems, passive candidate sourcing through existing media or analyst relationships, and evidence of prior success in similar business contexts yield far stronger pipelines than job board postings.

Technical Evaluation Pipeline

Discard trivia questions and generic PR case studies. Use live problem solving that mirrors actual business pressure:

  • Simulated crisis scenario. Present a mock incident (a security vulnerability disclosure, a compliance leak, an AI model bias scandal) and ask for a draft communications plan. Crisis management preparedness involves handling negative press and operational disruptions, and this exercise reveals whether the candidate can operate under real constraints.
  • Messaging risk architecture review. Ask the candidate to analyze the messaging risks of a new product feature from engineering, legal, and product perspectives. This tests cross functional fluency and strategic judgment.
  • Pressure communication exercise. Evaluate responses to time sensitive, high judgment situations: a sudden product recall, a public misreport, or sensitive confidential company news. High judgment is required when managing sensitive or confidential company news.
  • Cross functional culture fit assessment. Observe how the candidate engages with engineers, legal counsel, compliance, product, and executives. Listen for humility, curiosity, and the ability to absorb technical input and ask sharp questions. Cultural fit and emotional intelligence help in building trust across departments, and this is where you separate a trusted advisor from a surface level communicator.

Behavioral questioning can uncover a candidate's crisis management experience far more effectively than resume scanning. Excellent writing and editing skills are non negotiable for a communications manager, but you verify those through real deliverables, not self reported claims.

A Frictionless 90 Day Ramp Up That Delivers Immediate ROI

Adaptability is necessary for managing shifting priorities in a fast paced environment, and your onboarding plan should test for it from day one. Project and people management are crucial for coordinating multiple deadlines, so structure the first 90 days around escalating ownership:

  • Days 1 through 30: Deep immersion. The new hire onboards into internal systems, meets core stakeholders across engineering, legal, product, marketing, compliance, and human resources, audits current messaging and media relationships, reviews brand identity documentation, and identifies the top three risks or gaps. No deliverables expected beyond the audit and relationship building.
  • Days 31 through 60: Quick wins and framework building. Update outdated materials. Issue internal communications plans clarifying key initiatives or the product roadmap. Deliver a press release or executive speech. Define metrics, KPIs, and OKRs for communications impact. Effective messaging aligns organizational goals with employee actions, and this phase proves the hire can drive alignment.
  • Days 61 through 90: Full ownership. Execute one integrated campaign or product launch. Draft and validate a crisis protocol. Establish regular reporting rhythms to the leadership team. Survey audience feedback and adjust strategy. By day 90, the communications manager should demonstrate clear ownership of all communication channels, including social media channels, media relations, investor relations, internal communications, and external communications, with the ability to self drive without constant oversight.

Making the Right Decision With Confidence

Interview Signals That Predict Success or Failure

Red Flags That Should End the Conversation

  • Tool obsession over problem solving. If a candidate spends more time discussing brand guideline software than the business problems communications must solve, they are not operating at a strategic level.
  • Refusal to discuss failures. Every seasoned professional has managed a campaign that did not land or a crisis that went sideways. Inability to discuss past failures with honesty and self awareness signals a lack of growth and accountability.
  • Resistance to technical learning. A communications manager who does not want to understand your product architecture, engineering constraints, or data pipelines will produce messaging that misleads customers, regulators, or investors.
  • Inflated claims without evidence. Overpromising on results with vague metrics and no measurable impact is a reliable predictor of underperformance. Core strategic experience aligns communication plans with business goals, and the right candidate can show you exactly how.

Green Flags That Indicate a Hire Worth Making

  • Pragmatic tradeoff analysis. The ability to present and defend decisions between speed and accuracy, transparency and risk, or internal and external priorities. This is what in demand skills look like at the senior level.
  • Data driven impact measurement. Focus on sentiment analysis, coverage quality, risk reduction, and cost avoidance rather than vanity metrics like impressions or follower counts.
  • Proactive risk identification. Spotting regulatory, reputational, or competitive risk before others in the organization do. This is where a communications manager earns their seat at the table with senior leaders.
  • Clear process and stakeholder management. Articulate methods for managing expectations across legal, compliance, engineering, executives, and external partners in a professional manner, building positive relationships that sustain under pressure.

The SoftDoes Strategic Advantage

SoftDoes is a North America focused custom software engineering and data and AI partner serving clients across the US and Canada. When it comes to hiring a corporate communications manager, the difference between our approach and traditional recruitment is operational, not cosmetic. We deliver battle tested senior talent with engineering fluency, not generalists who need six months to learn what a deployment pipeline is. Our engineering led delivery oversight means every placement is monitored and supported, not left to drift like an unmanaged freelancer. Rapid deployment capability gets qualified professionals into your organization in weeks. The flexibility to scale up or down based on product cycles and market conditions means you are never locked into a commitment that does not match your needs. And our zero risk replacement guarantee means if the fit is not right, we replace the hire immediately, no questions asked. You can explore how we approach technical talent across roles, including specialized functions like credit management, to see the depth of our vetting process in action.

Your Next Move

Every week without the right communications leader is a week of unmanaged reputational risk, misaligned messaging, and missed opportunities to build trust with customers, investors, and your own team. The application process does not need to take months.

Book a technical discovery session with our team. We will audit your current communications gaps, define the ideal profile for your organization, and present vetted candidates who can start delivering within weeks, not quarters.

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