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Hire remote Brand 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 Brand Managers can build

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RIGHT expert, FASTER

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How to hire a Brand 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 Brand Manager through SoftDoes?

For senior brand manager roles, the typical sourcing and vetting process takes three to six weeks. Mid level roles can move faster when we hire from our existing vetted talent network. That timeline includes portfolio review, a practical case task, multiple interview rounds, and cultural fit checks. Because our specialists are pre vetted for enterprise and regulated industry experience, onboarding accelerates significantly compared to traditional hiring, where companies often spend three to six months just finding the right candidate before onboarding even begins.

What does it cost to hire a Brand Manager?

In the US enterprise B2B software market, senior brand manager total compensation (salary, benefits, and bonuses) typically ranges from $140,000 to $250,000 or more depending on location and experience. High cost markets like San Francisco and New York skew toward the upper end. Junior brand managers typically have 1 to 3 years of experience and command lower compensation. Mid level brand managers usually possess 3 to 7 years of experience, while senior brand managers should have at least 8 years of experience for complex enterprise roles. Freelance brand managers typically charge higher hourly rates but can be more cost effective for short term projects. The real cost to consider is not just salary but the cost of a bad hire: misaligned brand messaging, wasted marketing spend, and lost credibility with enterprise clients.

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

SoftDoes offers three primary engagement models. A dedicated remote hire gives you one senior brand manager working closely with your internal and external teams. The pod model pairs a brand manager with supporting specialists in design, content, and strategy for comprehensive brand management. Contract engagements work well for project based needs, such as a temporary or fractional brand lead for a specific product launch or rebrand phase. You can scale up, scale down, or shift models as your brand maturity and business needs change.

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

We prioritize hiring talent with significant overlap with your core leadership hours. All our specialists are based in the US and Canada, which ensures natural alignment with North American business schedules. We establish synchronous check in times, standardize communication tools and documentation practices, and select remote talent in overlapping time zones to eliminate the friction that often comes with distributed teams.

How does SoftDoes technically vet a Brand Manager?

Our vetting process goes well beyond resume review. It includes a thorough portfolio assessment with emphasis on relevance to your sector (healthcare, finance, regulated industries), evidence of data driven KPI impact, a practical case task such as a brand audit or positioning exercise, 360 degree references from cross functional collaborators (not just direct managers), and a soft skills interview focused on the candidate's ability to operate effectively with engineering, product, and compliance teams. Candidates for brand management should demonstrate strategic thinking and data analysis, and our process is designed to verify both before a candidate ever reaches your interview stage.

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

SoftDoes offers a replacement guarantee. If the brand manager is not the right fit, we replace them at no additional cost. If your needs shift, whether due to a campaign heavy period, a major rebrand phase, or a change in business goals, we can add supporting creatives, content specialists, or digital execution talent around your brand manager, or reduce the team as needed. We also conduct periodic reviews to assess fit, track KPIs, and adjust responsibilities so your brand management investment stays aligned with measurable business outcomes.

How to Hire a Brand Manager

Most companies spend months searching for a brand manager, only to end up with someone who can design a logo but can't connect brand strategy to revenue. The cost of that mistake compounds fast: misaligned messaging, wasted marketing spend, and lost credibility with enterprise buyers. This guide walks you through everything you need to know to hire the right brand manager, from defining the role and vetting candidates to onboarding and long term retention, so you can make a confident, informed decision that drives measurable business outcomes.

What a Brand Manager Actually Does (And Why It Matters More Than You Think)

The Day to Day: What a Skilled Brand Manager Really Handles

A brand manager is far more than a logo guardian or style guide enforcer. In practice, this role sits at the intersection of strategy, marketing, product, and sales, ensuring that every customer touchpoint reinforces the same story. Brand managers develop strategies that highlight customer value and translate business objectives into a coherent brand presence across channels.

Here is what the best brand managers do on a daily basis:

  • Conducting market research and competitive intelligence. They track market trends, consumer insights, and competitor moves to inform brand positioning and messaging. Effective brand management requires ongoing attention to market trends, not periodic check ins.
  • Defining and refining brand strategy. This includes messaging hierarchy, positioning statements, and brand architecture. Strategic thinking aligns brand initiatives with overarching business goals.
  • Overseeing content and creative execution. From advertising campaigns to social media platforms, they ensure brand consistency in voice, visual identity, and design. They collaborate with graphic designers, content creators, and cross functional teams on marketing campaigns.
  • Analyzing performance data. Brand managers analyze branding efforts to optimize future strategies, using tools like Google Analytics and social listening platforms. Data literacy is necessary for interpreting research and performance metrics, and analytical proficiency includes interpreting market research and analyzing KPIs.
  • Managing cross functional teams. They coordinate internal teams across product, engineering, sales, and compliance to ensure messaging consistency and coherent customer experience at every stage.
  • Protecting brand reputation. From crisis management during service outages to navigating regulatory scrutiny in healthcare or finance, they safeguard the brand's image against reputational risk.

A brand manager requires a mix of creative vision and analytical rigor. Creative judgment involves storytelling and aesthetic sensibility in brand messaging, while consumer empathy allows brand managers to craft messages that resonate with audiences.

Why Getting This Hire Right Changes the Trajectory of Your Business

Hiring a skilled brand manager is not a marketing expense. It is a strategic investment. 84% of business leaders believe brand identity reshaping is essential, and without the right person driving that work, companies lose ground in a competitive market.

Here are the concrete business benefits of making the right hire:

  • Faster time to market with consistent positioning. A strong brand manager aligns product launches, go to market strategies, and marketing initiatives so new offerings launch with impact instead of confusion.
  • Reduced costs from fewer rebrands and misaligned messaging. Ensuring brand consistency across channels eliminates wasted creative spend and prevents the expensive cycle of redesigning campaigns that never should have launched.
  • Higher deal win rates in enterprise sales. Brand positioning differentiates a company from its competitors. Technical buyers do not just evaluate features; they trust brands that signal reliability, security, and compliance. Skilled brand managers drive long term growth and customer loyalty.
  • Scalable growth across channels, geographies, and regulated environments. Consistent brand guidelines and governance enable you to scale digital marketing, partner channels, and sales efforts without brand message breakdowns. Cross functional leadership is essential for managing efforts across various teams.

How to Prepare Before You Open the Role

Getting Clear on What You Actually Need

Before you write a brand manager job description, you need internal alignment on what this role will own, who it reports to, and how it fits your delivery model. Skipping this step is how companies end up with a marketing manager when they needed a brand strategist, or vice versa.

Project Scope and Requirements

Determine whether you need someone who owns the full brand strategy (vision, messaging, identity) or someone focused mainly on execution (managing campaigns, content production, channel management). Will they handle case studies, whitepapers, and regulation messaging? Will they manage employer brand in addition to external brand presence? Are they meant to reposition legacy software or build a brand from scratch? Brand managers develop and implement brand strategies, but the scope can vary enormously depending on your business needs.

Team Structure and Engagement Model

Identify the reporting structure. Does this person report to the CEO, CMO, or VP of Marketing? Will they lead an existing team of creatives and content specialists, manage external agencies, or operate as part of a pod model? Clarify whether they will collaborate closely with UI/UX, data, engineering, or sales teams, because in enterprise B2B, cross functional collaboration is not optional.

In House vs. Dedicated Remote Talent

Full time brand managers offer greater accountability for their work and tend to be more cost effective for larger businesses with ongoing branding initiatives. Freelance brand managers can work remotely or in person and are ideal for temporary brand management needs, but freelancers typically charge higher hourly rates. A freelance brand manager makes sense for a defined project; a dedicated specialist is the better investment when you need sustained strategic leadership. Consider time zone overlap, domain expertise, and communication structure when evaluating remote options.

Writing a Job Description That Attracts the Right Candidates

A generic job posting attracts generic candidates. The strongest brand manager job description covers four elements that separate serious potential candidates from the rest:

  • Mission. State the strategic challenge this hire solves. "Lead the brand strategy and storytelling for enterprise AI solutions across regulated industries" is specific. "Help grow our brand" is not. Effective brand strategies require alignment with business objectives, and this should be visible from the first line.
  • Stack and Context. Specify what channels, tools, and environments they will work with: digital marketing platforms, social media marketing, Adobe Creative Suite, Google Ads, content management systems. Note the current brand maturity level and whether regulatory restrictions apply.
  • Team Structure. Describe who they report to, direct reports, cross functional stakeholders in product and engineering, and any external vendors. Candidates for brand management should understand who they will influence and how.
  • Growth and Impact. Define 90 day, six month, and one year success metrics. Outline budget authority, how this role ties into revenue and customer engagement goals, and what career progression looks like. A brand manager job description should include core responsibilities and qualifications, but growth trajectory is what attracts top brand managers.
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How to Find, Vet, and Onboard a Brand Manager Who Delivers

A Hiring and Vetting Process That Actually Works

Where to Source Strong Candidates

Use a mix of channels: senior marketing networks, B2B branding agencies, talent marketplaces, and specialized recruiters who focus on enterprise and technology marketing roles. For remote or dedicated talent, platforms that pre vet marketers against technical and strategic criteria save significant time. Also tap into professional growth communities and consider referrals from your existing network of services partners.

Standard outbound recruiting surfaces volume. Vetted talent networks surface quality. The difference matters when you are filling a role where a bad hire can damage brand perception across numerous brands and client relationships.

Going Beyond the Resume

Resumes tell you where someone worked. They do not tell you how they think. Structure your vetting around four dimensions:

  • Technical screening. Verify the candidate understands brand health KPIs, can run or interpret a brand audit, and has experience with marketing analysis tools. Ask: "Show me how your work moved measurable brand metrics, from awareness to conversion." Data analysis skills are crucial for brand managers' success.
  • Real world task. Assign a practical exercise: audit your current brand positioning, propose revised messaging, or rework a product launch plan under constraints. Work samples are effective in distinguishing strategic brand managers from weaker candidates.
  • Analytical and problem solving interview. Ask how they would respond to a brand crisis, reposition in light of competitive disruption, or integrate consumer insights into brand adjustments. Structured interviews provide objective criteria for evaluating brand manager candidates.
  • Culture fit and soft skills. Assess their ability to influence without direct authority, collaborate across remote and cross functional teams, and navigate compliance requirements. Effective brand managers should possess strong communication and influencing skills. Brand managers must be exceptional communicators and decision makers. Adaptability and resilience help brand managers pivot strategies in changing markets.

Ramping Up Fast: A Practical 30/60/90 Day Framework

A strong onboarding process is the difference between a brand manager who delivers in quarter one and one who is still "getting up to speed" in quarter two.

  • First 30 days. Introduce internal stakeholders across marketing, product, engineering, and sales. Immerse the new hire in current brand assets, brand guidelines, and past marketing campaigns. Conduct an initial brand audit. Set up measurement dashboards for tracking brand health and performance data.
  • Days 31 through 60. Begin contributing to ongoing branding efforts. Lead a first small campaign or messaging refinement. Align with sales and product teams to ensure brand consistency and support sales goals.
  • Days 61 through 90. Propose a strategic plan for the next six to twelve months, including KPIs tied to business goals. Begin implementing brand refreshes or market positioning changes. Establish a regular reporting cadence so leadership sees measurable progress.

Retention depends on clarity of expectations, autonomy, resources, and connecting the brand manager's work directly to business outcomes that are visible to leadership. When people see their work driving customer loyalty and market share, they stay.

How to Make a Confident Hiring Decision

Red Flags and Green Flags That Separate the Best From the Rest

Not every candidate who interviews well will perform well. Here is what to watch for:

Red Flags:

  • Cannot cite measurable outcomes. They talk about branding in vague, creative terms without connecting to performance data or business impact. Brand managers analyze data to optimize branding efforts; if they cannot show that, move on.
  • Poor cross functional references. In enterprise B2B, the ability to coordinate with product, engineering, and sales is non negotiable. If former colleagues in those functions are lukewarm, that is a problem.
  • No understanding of regulated industries. If your clients operate in healthcare, finance, or other compliance heavy sectors, a brand manager who has never navigated those constraints will create risk, not value.
  • Resists feedback or lacks curiosity. The best brand managers are constantly tracking consumer trends and industry trends. Candidates who default to "what has always worked" will not drive growth.

Green Flags:

  • Demonstrated impact on brand health metrics: awareness, preference, consideration, retention, sentiment. They have a proven track record, not just a polished portfolio.
  • Clear strategic thinking with frameworks. They can articulate brand positioning, segmentation, and competitive differentiation tailored to enterprise solutions. Strong candidates should confidently answer questions about brand strategy.
  • Relevant sector experience. Look for work in software, data, technology, or regulated industries. Bonus if their portfolio includes both external branding and employer branding initiatives.
  • Leadership and influence. The top brand managers have led agencies, internal teams, or cross disciplinary projects. They are effective at stakeholder management and can negotiate trade offs without direct authority.

Why Partnering with SoftDoes Gives You an Edge

SoftDoes is a North America focused talent delivery partner serving clients across the US and Canada. We do not send you a stack of resumes and wish you luck. We deliver senior, pre vetted brand management specialists who understand enterprise level branding challenges in regulated industries like finance, healthcare, and technology.

What makes this different from a traditional marketing agency or a freelance brand manager marketplace:

  • Team delivery model. You get a dedicated brand marketing specialist plus supporting specialists (content, design, data), not an isolated freelancer.
  • Replacement and scaling guarantees. If a team member is not the right fit, we replace them. If your needs shift during a campaign heavy period or rebrand phase, we add or reduce specialists around the brand manager.
  • Flexible engagement models. From a single dedicated hire to a full pod, you choose the model that matches your brand maturity and business objectives, and you can change it as your needs evolve.
  • Technical credibility. Our experience building mission critical digital systems gives us deep understanding of engineering, cloud, data, and AI contexts. Your brand manager will coordinate brand strategy with product roadmaps and technical constraints, not just marketing efforts.

Brand managers must develop strategies based on customer research, and our vetting process ensures every specialist we deliver has the analytical proficiency, creative judgment, and cross functional leadership to do exactly that.

Ready to Hire a Brand Manager?

Stop losing months to a broken hiring process. Whether you need a senior brand strategist to reposition your enterprise offering or a full brand management pod to support product launches across regulated industries, SoftDoes can match you with the right talent in weeks, not months.

Schedule a consultation with our team today. We will assess your brand management needs, recommend the right engagement model, and connect you with pre vetted specialists who can execute from day one.

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