Hire B2b Marketers Backed by a U.S. Delivery Team

Looking to hire a B2b Marketer? Our B2b Marketers bring senior-level expertise, backed by a U.S. delivery team.

HIRE NOW
  • 100+

    Fully Vetted Developers

  • 24h

    Average Matching Time

  • 300

    Project Delivered

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

Hire remote B2b Marketer

Discover developers that match your project requirements.

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Discover More B2b Marketers in the SoftDoes NetworkRegister to view more

What our B2b 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.

Explore Services

FIND THE
RIGHT expert, FASTER

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

How to hire a B2b 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 B2b Marketer through SoftDoes?

Traditional recruitment for senior B2B marketing talent typically takes three to six months from job posting to full performance. SoftDoes compresses that timeline by sourcing from a pre vetted network of marketers who have already demonstrated pipeline impact in enterprise verticals. Most engagements move from initial discovery to deployed talent in four to eight weeks, with a structured 90 day ramp up protocol that ensures the marketer reaches full ownership of campaigns, lead generation, and pipeline targets within the first quarter. Exceptional B2B marketers often weigh multiple opportunities simultaneously, so our streamlined process also prevents losing top candidates to slower competitors.

What does it cost to hire a B2b Marketer?

Total cost of a senior B2B marketing hire includes base salary, benefits, tools, and onboarding overhead. For enterprise technology verticals in the US and Canada, senior compensation reflects the specialized blend of technical skills, data analysis capability, and vertical expertise required. Factor in the cost of a bad hire, which typically runs 50% to 100% of annual salary or more when you account for lost pipeline, wasted campaign spend, and disruption to the sales team. Using a contractor, freelance b2b, or pod model shifts some fixed costs to variable, with hourly or project rates reflecting senior expertise. Hiring a freelance B2B marketer can reduce hiring costs while still delivering measurable business growth outcomes. SoftDoes provides transparent pricing aligned to engagement scope and expected pipeline impact.

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

SoftDoes offers several models tailored to your company's growth stage and business needs. A dedicated hire provides a full time embedded b2b marketer who operates as part of your team with complete context and continuity. A pod model assembles a coordinated unit around the senior marketer, including content writers, designers, and paid media specialists, delivering integrated execution across content marketing, email marketing, paid social, and digital marketing channels. A contract or fractional leadership model works for companies that need senior strategy and oversight without full time commitment. Each model includes delivery oversight, performance accountability, and the flexibility to scale up or down as campaigns, product launches, or market conditions shift. Freelance B2B marketers can start executing strategies quickly within any of these models.

How do you ensure time zone alignment with a B2b Marketer?

SoftDoes establishes required overlap hours during the discovery phase, ensuring the deployed marketer's working schedule intersects with your core operations. For North America based clients across the US and Canada, we prioritize candidates whose normal working hours provide at least four to six hours of real time collaboration. Asynchronous communication norms are documented and agreed upon before day one, covering tools, response expectations, and approval workflows. This ensures that campaign decisions, client feedback loops, and sales team coordination happen without delays that erode deal velocity.

How does SoftDoes technically vet a B2b Marketer?

Our vetting framework goes beyond portfolio reviews. Candidates complete practical assignments using real world scenarios: mapping funnel optimization plans, diagnosing attribution gaps, and presenting to simulated cross functional stakeholders. We verify claimed results by checking data sources, baselines, time periods, and attribution models. References are checked for specific work contributions, not generic endorsements. We evaluate technical skills across the relevant martech stack, understanding of regulatory requirements for the target industry, and cross team collaboration experience. Candidates must demonstrate a growth mindset and the ability to create content, build marketing strategies, and deliver sharper messaging that produces quality leads and qualified opportunities. Every marketer in our network has proven experience with lead generation, sales enablement, and account based marketing in enterprise settings.

What happens if the B2b Marketer isn't the right fit, or I need to scale up or down?

SoftDoes provides a zero risk replacement guarantee. If performance or fit falls short of agreed targets, the marketer is replaced at no additional cost to your company. Formal review checkpoints at 30, 60, and 90 days provide structured assessment points where scope, support, and expectations are calibrated against measurable results. Scaling up means adding specialists to the pod: content creation, paid media, email sequences, or market research capacity. Scaling down means reducing scope or transitioning from full time to contract without the legal and HR friction of traditional employment changes. The model is designed so that your marketing investment tracks actual business growth, not fixed headcount assumptions.

The Executive Guide to Hiring a B2b Marketer

A single bad marketing hire at the senior level burns six to nine months of salary, stalls pipeline generation, and forces your sales team to compensate for gaps that should never have existed. Multiply that by the opportunity cost of delayed campaigns, broken attribution, and misaligned messaging frameworks, and the true damage often exceeds the hire's total compensation. This playbook gives you a field tested strategy to define, vet, and onboard a top tier B2b Marketer who delivers measurable business growth, not just slide decks.

What Separates a Revenue Driving B2b Marketer from a Task Executor

Operational Realities Behind Senior B2B Marketing Talent

The difference between a senior b2b marketer and an order taker shows up in what they own, not what they touch. Effective B2B marketers must know how to translate technical features into business value, and that translation requires far more than content creation or campaign management.

  • Full funnel ownership across buying committees. B2B buying committees typically consist of six to ten people. A senior marketing professional designs how leads move from awareness through evaluation, purchase, and renewal across those stakeholders, not just the top of funnel. B2B sales cycles often last 60 to 120 days or more, which means every touchpoint must be architected for long sales cycles, not consumer marketing sprints aimed at individual consumers.
  • Technical stack integration and diagnosis. They audit and operate your marketing automation platform (HubSpot, Marketo, Pardot), CRM (Salesforce, Dynamics), google analytics or GA4, conversion tracking systems, attribution dashboards, and paid media accounts across linkedin ads, google ads, and meta ads. When TMF Group realigned Marketo with Dynamics globally and tied behavioral data to company level KPIs, it produced 1,768% pipeline ROI and a 121% increase in Marketing Qualified Leads.
  • System design judgment. Choosing between build vs. buy for martech components, managing technical debt in workflows, and resolving data mismatches between sales ops and marketing ops. These are engineering decisions wrapped in marketing context.
  • Cross functional influence. Senior hires represent marketing in conversations with the sales team, product, customer success, legal, and finance. They speak in revenue, cost, margin, and pipeline impact, not marketing jargon. Communication skills and critical thinking in these settings are non negotiable.
  • Trade off management under constraints. Should you invest in content marketing and SEO for compound growth, or redirect budget to demand generation and paid social for immediate pipeline? Should you slow a campaign to clear compliance review in a regulated vertical, or accept the risk? Look for T-shaped marketers with one or two deep specialties and broad commercial understanding who can make these calls with data, not instinct.
  • Strategic ownership of positioning and ICP. They redesign buyer personas, sharpen messaging frameworks, and map the buyer's journey for each vertical. B2B marketers must create content for each stage of the buyer's journey, from initial education through deal velocity acceleration. Hire for business outcomes and judgment rather than just channel expertise.

Financial and Operational ROI Vectors

Every week without the right person in this seat costs pipeline dollars. Here is where senior b2b marketing talent creates measurable results:

  • Technical debt reduction in martech. Misaligned stacks leak budget through duplicate ad spend, broken attribution, and mis matched lead definitions. TMF Group's realignment delivered an 82% increase in MQLs alongside that 1,768% pipeline ROI, proving that infrastructure fixes translate directly to revenue growth.
  • Compressed deployment cycles. Axiolo's engineered marketing framework produced $5 million in qualified pipeline in 45 days with a 57x return on ad spend, possible only because systems were integrated and data aligned before campaigns launched. Hiring a B2B marketing freelancer can accelerate pipeline impact within seven days when the foundation is already sound.
  • Infrastructure optimization and budget recovery. Eliminating redundant tools, improving attribution fidelity, and consolidating platforms stops the budget leakage that accumulates quietly. The Payroll Software case generated 601% ROI and added $6 to $10.5 million in lifetime value through content, SEO, and lead generation across multiple product verticals.
  • Risk mitigation in regulated verticals. Non compliance with data privacy or advertising rules in finance, healthcare, or energy can produce fines and brand damage that dwarf the cost of any marketing hire. A senior marketer who understands GDPR, HIPAA, and sector specific restrictions designs compliant campaigns from the start. Freelance B2B marketers typically work across multiple industries and bring that regulatory pattern recognition with them.

Pre Hire Groundwork: Audit Before You Recruit

Mapping Your Technical Constraints Before Writing a Job Spec

Define your specific growth stage before hiring B2B marketers. The audit below prevents the most common failure mode: hiring a senior marketing professional into an environment where they cannot succeed because the infrastructure, authority, or team model is wrong.

Architecture and Debt Audit

Inventory every tool in your stack: CRM, marketing automation, CDP, ad platforms, analytics, SEO tools, email marketing systems. Document licensing status, access permissions, integrations, and reporting gaps. Then identify the bottlenecks. Is your attribution broken? Are lead definitions mismatched between marketing and sales? What past campaigns spent money but produced zero tracked qualified opportunities? What is the current lag from lead to opportunity? These are the problems your first marketing hire must solve; they shape the candidate profile. If attribution is your primary gap, you need someone strong in data analysis and conversion tracking. If messaging is broken, you need someone who can rebuild buyer personas and create content that moves buying committees.

Team Dynamics and Autonomy Level

Decide whether this b2b marketer will embed inside your engineering, data, or AI pod, or operate as a standalone function. Embedded roles require someone comfortable with engineering concepts, data pipelines, and technical product terminology. Then define the autonomy boundary: what budget decisions can they make without executive approval? Can they select agencies, hire junior staff, or shift channel mix independently? The more autonomy you grant, the more seniority and operational experience the role demands.

Deployment Model Dynamics

Evaluate whether a full time hire, a contractor, a fractional leadership arrangement, or a dedicated pod model fits your business needs. Each model carries friction. A full time hire locks in fixed costs and takes months to recruit through traditional channels. Hiring a freelance B2B marketer can reduce hiring costs and start executing custom strategies quickly, but may lack the delivery oversight that prevents drift. A pod model, where a vetted senior marketer works alongside content writers, designers, and paid media specialists under structured delivery management, splits the difference between flexibility and accountability.

Building an Outcome Oriented Profile, Not a Generic Job Spec

It's important to identify must have technical skills for each role before beginning the hiring process. Craft job descriptions that are outcome focused and highlight business impact. Four components define the profile:

  1. Core outcome and mission. State what this marketer must deliver in 30, 60, and 90 days. Examples: audit the full funnel and deliver a written diagnosis by day 30; launch a measurable pilot campaign by day 60; own pipeline generation targets by day 90. Typical deliverables include go to market strategies and content calendars.
  2. Technical stack reality. Be explicit about the platforms. Freelancers use tools like HubSpot, Salesforce, and Google Ads. If your stack includes Marketo, Salesforce, GA4, ABM platforms, and lead scoring systems, say so. If you use AI or ML tools for predictive lead scoring or content personalization, the candidate must have hands on experience.
  3. Decision making authority. Specify budget control, channel mix authority, agency selection rights, and hiring scope. You want someone who operates as a mini P&L owner within marketing, accountable for both spend and return.
  4. Growth trajectory. The profile should include the capacity to scale: building teams, instituting SOPs, mentoring junior talent, and transitioning from execution to strategic leadership as business growth accelerates.
To Contact Page

Let’s Turn Your Idea into Scalable Software

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

Contact us

Evaluating Candidates and Accelerating Their Impact

A Vetting Framework Built for Enterprise Stakes

Sourcing Reality

Traditional recruiters push resumes. Pre screened, engineering led talent networks reduce mismatch by filtering for verified performance in relevant verticals. Leverage niche communities for recruiting to find B2B marketing talent; sourcing strategies should include watching industry blogs and communities to spot rising experts. Target passive professionals on networks like LinkedIn. Upgrade employee referral incentives to leverage current high performing teams' networks. Build an appealing employer brand to attract top b2b marketing talent, because exceptional B2B marketers often weigh multiple opportunities simultaneously, requiring quick offers. Streamline interview processes to respect candidates' time and improve the hiring experience.

Technical Evaluation Pipeline

Testing real world skills through practical assignments is essential in hiring B2B marketers. Evaluate candidates using structured interviews to ensure consistent comparisons.

  • Live problem solving over trivia. Give the candidate your real analytics, campaign data, and funnel structure. Ask them to map a funnel optimization plan or redesign attribution. This reveals data analysis capability, not memorized definitions.
  • Real world scenario architecture review. Walk through a current martech component: lead capture form to CRM to nurture flows to attribution to reporting. Ask what is broken, what they would prioritize, and why. In regulated verticals, ask how they would handle compliance constraints in email sequences or paid social campaigns.
  • Communication under pressure. Set up a stakeholder interview requiring the candidate to speak with sales, product, and finance. See how they articulate trade offs: speed vs. compliance, budget vs. reach, lead quality vs. volume. Soft skills and communication skills surface here, not in scripted presentations.
  • Cross functional culture fit. Probe specific experiences working with engineering teams, product teams, compliance, and data science. How did gaps or conflict arise? How were they resolved? B2B marketing includes lifecycle marketing and sales enablement assets; the candidate should demonstrate experience creating enablement assets like one pagers, email sequences, and case studies that serve both the sales process and marketing funnel.
  • Verifying claimed results. Look for metrics tied to pipeline contribution and customer acquisition cost. Effective B2B marketers show evidence of pipeline impact, not just creative output. Insist on data source, baseline, time period, and attribution model. A credible answer sounds like: "We increased pipeline from $2M to $2.8M over six months, dropping CAC from $800 to $550 through account based marketing and content marketing." Vague claims without baselines are red flags. Top B2B marketing strategists have 5.0 average ratings from 382 reviews on freelance platforms, but ratings alone are insufficient without verified business outcomes.

A 30/60/90 Day Ramp Up Roadmap

B2B marketing focuses on educating and supporting long decision processes. The ramp up protocol reflects that reality.

Preboarding (before day one). Provision all logins for martech tools, design assets, brand guidelines, analytics dashboards, and product documentation. Share recent campaigns, audits, ICP documentation, and sales enablement materials.

Days 1 to 30: Learn and Diagnose. The new hire audits everything: channels, performance, buyer journeys, messaging, tech stack health, alignment with the sales team. They interview stakeholders across sales, product, and customer success. Deliverable: a written audit and proposed 60 day plan with clear priority recommendations and identified quick wins in lead generation or conversion rates.

Days 31 to 60: Build and Pilot. Launch focused pilot campaigns or tests. Fix tech stack or attribution gaps identified in the audit. Begin owning specific channels or components, whether that is demand generation, content marketing, account based marketing, or paid media. Establish a reporting cadence. Freelance B2B marketers can deliver measurable growth outcomes in this window; a full time hire should demonstrate comparable velocity. B2B marketing freelancers deliver measurable outcomes like sales qualified leads and quality leads during this phase.

Days 61 to 90: Own Outcomes and Optimize. Take full ownership of strategic initiatives. Be accountable for performance against targets: pipeline value, lead quality, conversion rates, deal velocity. Use data to optimize. Develop or improve internal processes and SOPs. Account based marketing targets specific accounts for higher win rates; ABM leads to higher win rates and larger deal sizes, and by day 90 the marketer should have an ABM program in motion or a clear rationale for an alternative approach.

Formal review checkpoints at 30, 60, and 90 days. Measure against pre defined deliverables. Adjust scope, support, or expectations based on performance data, not impressions.

Final Evaluation: Signals, Strategic Advantage, and Next Steps

Interview Signals That Separate Builders from Talkers

Red flags to watch for:

  • Tool obsession without outcome thinking. If the candidate spends most of their energy discussing HubSpot flows, dashboard configurations, or google ads settings rather than what those tools achieved for business clients and other businesses, they are describing activity, not impact.
  • Vague attribution of results. Words like "substantial growth" or "improved performance" without numbers, baselines, or time periods. Freelancers can deliver measurable outcomes like lower cost per acquisition, so any senior candidate should be able to do the same.
  • Refusal to discuss failures or trade offs. If every past initiative was a success, the candidate is either misrepresenting or has not operated at a level where hard choices are required. B2B marketing strategies always involve trade offs between speed and precision, brand presence and demand generation, short term pipeline and long term success.
  • No vertical or regulatory experience when it matters. Consumer marketing experience does not transfer cleanly to regulated healthcare, finance, or energy verticals. The audience, compliance requirements, and sales process differ at a structural level. ABM is slower and more deliberate than broad campaigns; the candidate should understand that tempo.

Green flags that indicate a real operator:

  • Pragmatic trade off analysis. The candidate can explain why they paused a channel, chose content marketing over paid social, or traded reach for precision. They connect those decisions to business goals and revenue, not marketing vanity metrics.
  • Focus on data integrity and system health. They identified missing conversion tracking, poor attribution, mis matched funnels, or broken lead handoff in prior roles and took corrective action. They understand that lead scoring and data analysis are foundational, not optional.
  • Proactive risk identification. They flagged compliance or privacy issues, cross team misalignment, or tech debt before it became a crisis. They built mitigation plans. ABM requires aligning sales and marketing teams; the candidate should demonstrate experience driving that alignment.
  • Stakeholder empathy and revenue fluency. They speak in pipeline impact, customer acquisition cost, deal velocity, and qualified opportunities, not just campaign metrics. They have experience presenting to leadership and can cover strategy, execution, and measurement in the same conversation. ABM focuses on tailored messaging for buying groups, and the candidate should articulate how that personalization translates to revenue growth for specific accounts. ABM treats target accounts as individual markets.

Why Enterprises Choose SoftDoes for B2B Marketing Talent

SoftDoes operates as a North America focused custom software engineering, data, and AI partner serving clients across the US and Canada. That engineering DNA shapes how we approach marketing talent deployment. B2B marketing agencies focus on creating opportunities that generate revenue; SoftDoes adds delivery rigor to that equation.

  • Battle tested senior talent. Every b2b marketer in our network has delivered in enterprise and regulated verticals, not just startup environments. B2B marketing services often involve account based marketing strategies, sales enablement, and full funnel demand generation; our marketers have shipped all three. Freelance B2B marketers often provide full funnel demand generation through our network.
  • Engineering led delivery oversight. Unlike unmanaged freelancers, every engagement has structured delivery management. Market research, campaign execution, and performance measurement are governed by the same rigor we apply to software delivery.
  • Rapid deployment capability. Deploy marketing expertise within days through our pre vetted talent pipeline, not months of recruitment cycles. B2B marketing includes lifecycle marketing and sales enablement assets; our marketers arrive ready to execute on both.
  • Flexible scaling architecture. Scale marketing capacity up or down based on pipeline demands, product launches, and budget cycles. Add content creation, paid media, email marketing, or digital marketing specialists to the pod as business needs evolve.
  • Zero risk replacement guarantee. If the marketer does not deliver, immediate replacement with no additional cost. This eliminates the six to nine month sunk cost of a traditional bad hire and the disruption of restarting the search.

Your Immediate Next Step

Every week without the right person in this seat is a week of leaked pipeline, misaligned messaging, and revenue left on the table. The cost of inaction compounds; it does not plateau.

Book a technical discovery session with SoftDoes architects. We will map your GTM architecture, identify pipeline gaps, audit your martech stack, and define the precise profile of the B2b Marketer who will maximize ROI for your specific growth stage, industry, and business goals. No generic job specs. No resume roulette. Vetted senior talent, deployed with engineering discipline, accountable to your revenue targets.

Flag icon

U.S.-Based

Discuss Your Project

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

Certificates

Let's build together.

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

Upload File