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Hire remote Brand Strategist

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
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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 Strategists can build

Not sure which engagement model fits?

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How to hire a Brand Strategist

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 Strategist through SoftDoes?

Once we align on the role profile and core outcome mission, candidate matching and interviews typically happen within two to four weeks. The speed comes from our pre vetted talent network and the structured profiling work we do upfront, which eliminates the months of sourcing, screening, and false starts that plague traditional recruitment. From first conversation to a strategist fully ramped and owning deliverables, expect roughly 90 days, with meaningful output starting in the first 30.

What does it cost to hire a Brand Strategist?

For a senior B2B enterprise brand strategist based in North America, total compensation (base salary, benefits, and overhead) typically falls in the range of US$150,000 to US$250,000 annually, depending on domain specialization and seniority. Contractors and fractional brand consultants may command US$120 to US$200+ per hour at the senior level. The more important number is the cost of getting it wrong: direct and indirect costs of a failed marketing or brand strategy hire (salary, management time, lost opportunity, rehiring) routinely run into the US$100,000 to US$250,000 range. SoftDoes engagement models are designed to reduce that risk dramatically while giving you flexibility on budget and commitment level.

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

We offer several models tailored to where you are and where you need to go. A dedicated full time hire gives you deep integration and continuity for ongoing brand strategy needs. A dedicated pod pairs a brand strategist with design and content specialists for a self contained team that can execute end to end. A fractional or contract engagement works well for specific initiatives like a rebrand, market entry, or brand architecture overhaul. Each model includes performance oversight and the ability to adjust scope as your business evolves. We help you choose the model that fits your current stage and business goals without locking you into a structure that does not serve you six months from now.

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

SoftDoes operates with North America based talent or professionals in predominantly overlapping time zones across the US and Canada. For every engagement, we establish core collaboration hours that align with your product, design, and marketing teams. We set clear expectations for synchronous work (standups, strategy sessions, stakeholder reviews) versus asynchronous deliverables (audits, frameworks, documentation). The result is that your brand strategist operates as a natural extension of your team, not someone you are constantly trying to reach across a 12 hour gap.

How does SoftDoes technically vet a Brand Strategist?

Every candidate must demonstrate past work with measurable outcomes, not just a polished portfolio. We review live product or campaign cases, run problem solving exercises using real world scenarios, and conduct interviews with cross functional stakeholders to validate collaboration and communication skills. We verify alignment with your specific technical constraints, whether that is product led growth, regulated industries, AI/ML product environments, or complex design systems. The vetting pipeline is the same rigorous process we use for engineering talent, because we believe brand strategy deserves the same standard of accountability.

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

Every SoftDoes engagement includes a zero risk replacement guarantee. If a placement is not the right fit, we replace the strategist at our cost, with no disruption to your timelines. Scaling is built into our model: you can move from a solo strategist to a full pod, shift from full time to fractional, or wind down an engagement as a project completes. Contracts include structured review points so you are never locked in, and we can evolve the role as your company grows, for example transitioning a strategist into a Brand Director capacity or expanding the team to cover new markets and product lines.

The Executive Guide to Hiring a Brand Strategist

A single bad brand strategy hire can drain six figures in direct costs and months of lost momentum before you even realize the damage. Multiply that by the downstream rework across product, marketing, and sales, and the true price tag becomes staggering. This playbook gives you a field tested strategy to define, vet, and onboard top tier Brand Strategist talent, built from real world lessons shipping enterprise software, not from HR textbooks.

What Actually Separates a Senior Brand Strategist from Everyone Else

The True Scope: Daily Operational Realities That Define the Role

Most companies hire a brand strategist expecting a creative executor. What they actually need is a business strategist who happens to work through brand. Brand strategists develop cohesive plans for brand identity, but the senior ones operate as strategic architects. Here is what that looks like in practice:

  • Brand Positioning and Architecture Ownership: Brand positioning defines a company's unique place in the market. A senior strategist owns that positioning end to end, making hard calls on umbrella brand versus house of brands, sub brand hierarchy, and the tradeoffs between broad reach and niche authority. Brand architects organize a brand's portfolio of products and services so every offering reinforces the whole.
  • Target Audience and Market Intelligence at Scale: They conduct market research and brand audits grounded in data analysis and competitor research. This means building buyer personas from quantitative signals (NPS, product usage, churn data) and qualitative understanding (voice of customer, cultural market trends), not guesswork.
  • Strategic Messaging and Narrative Engineering: A messaging framework guides marketing, sales, and public relations communication. The strategist builds that framework, defining pillar messages, value propositions, and proof points that feed every touchpoint from UX copy to sales decks. Brand strategists enhance brand value through consistent messaging, and consistency in messaging builds customer trust and loyalty.
  • Cross Functional System Design and Tradeoff Management: The work lives upstream with product, engineering, UX, and marketing teams. A real strategist embeds brand into the product roadmap, design systems, and go to market motion, not just into a PDF style guide. They make the tough calls: speed versus brand coherence, innovation versus consistency.
  • Governance, Brand Audits, and Health Measurement: Defining brand KPIs (awareness, equity, consideration, perception), running regular brand audits, tracking erosion, and enforcing compliance across every touchpoint. Without governance, brand drift is inevitable.
  • Change and Growth Strategy: Managing rebrands, sub brand launches, mergers, and digital transformation shifts with sensitivity to legacy brand debt and internal alignment constraints. A brand strategist integrates brand with company culture, ensuring strategic alignment so internal culture matches external branding efforts.

The Business Case: Why This Hire Pays for Itself

This is not a "nice to have" creative role. The financial and operational impact is concrete:

  • Reduced Legacy Brand Debt: Misaligned messaging, inconsistent UX voice, and design contradictions cause rework across product launches, campaigns, and sales enablement. Having strategy upstream eliminates the 10% to 20% of budget you silently burn on repeated fixes.
  • Faster Deployment Cycles: When positioning, narrative, voice, and identity are clarified, creative teams, product teams, and marketing can move in parallel rather than sequentially. Higher ROI on marketing is achieved through solid brand strategy because every dollar works harder from day one. Brand strategy allows for scalable growth and expansion into new markets.
  • Sharper Funnel Conversion: Hiring a brand strategist improves targeted audience engagement. When messaging matches your target audience's actual needs instead of generic positioning, pipeline quality improves and conversion lifts follow. Businesses hiring brand strategists achieve clear market differentiation, which directly impacts win rates.
  • Mitigated Regulatory and Reputational Risk: In regulated industries (healthcare, finance, energy), brand missteps carry legal consequences. A senior brand strategy consultant versed in compliance, privacy, and truth in advertising reduces exposure that no amount of downstream cleanup can fix.

Before You Post the Role: Auditing What You Actually Need

Auditing Your Constraints Before the Search Begins

Most failed hires trace back to a poorly defined need, not a talent shortage. Before you talk to a single candidate, get honest about three things.

Architecture and Debt Audit

Inventory every existing brand asset: messaging documents, identity guidelines, style guides, past redesigns, sub brand materials. Identify gaps, contradictions, and outdated artifacts. Then define the primary problem this hire must solve first. Is it repositioning for a new market? A brand refresh for visual and voice consistency? Brand expansion to support new product lines? Legacy modernization across tech, UX, and design systems? That answer shapes the seniority level and domain experience you need. Brand strategy consultants help define a brand's identity, but only when you know which part of that identity is broken.

Team Dynamics and Autonomy Level

Understand where this strategist will sit. Embedded inside a product team with direct access to design, UX, and engineering? Or operating in a marketing silo with limited influence over the product experience? The reporting line matters: reporting to the CEO means strategic authority; reporting three levels down means execution only. Brand strategists allow staff to focus on their core roles, but only when the org chart gives them room to play that role effectively.

Deployment Model Dynamics

Decide whether you need a full time hire, a contractor, or a dedicated remote pod. Each model carries different tradeoffs in consistency, cost, speed, and alignment. An FTE delivers deeper integration and continuity. A contractor or fractional brand consultant through our talent network gives you flexibility and faster hiring without long term overhead. Assess whether your internal teams have the workflows and decision makers ready to receive and operationalize brand strategy work. Without that capacity, even the best strategist stalls.

Engineering the Ideal Profile, Not a Generic Job Spec

Stop writing job descriptions that read like a wish list. Define four essential components:

  • Core Outcome and Mission: State the mission in one sentence. Examples: "Standardize voice and branding across all channels to reduce friction with integration partners" or "Lead rebrand to align with our AI enabled product promise." This frames every other decision.
  • Technical Stack Reality: The brand strategist may need familiarity with customer research platforms, analytics tools (product analytics, A/B testing), content management systems, design systems, and product roadmaps. For companies in AI/ML or cloud, awareness of personalization engines and data privacy constraints is non negotiable.
  • Decision Making Authority: Can they make positioning tradeoffs without CMO sign off? Can they override existing content or design that is misaligned? Define governance upfront so there is no confusion on day one.
  • Growth Trajectory and Level: Senior strategist versus director versus brand architect. Define required years of experience (typically 5 to 10+ for senior), domain fit (B2B enterprise, regulated markets, product led growth), leadership experience across cross functional teams, and ability to handle ambiguity. Brand strategists focus on comprehensive brand strategy development, but the depth of that work varies dramatically by level.
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The Vetting and Onboarding Playbook

A Vetting Framework Built for High Stakes Roles

Sourcing Reality

Traditional recruitment agencies rarely have deep networks in senior brand strategy for enterprise software. Compare channels honestly: specialist recruiters, pre vetted talent networks, referrals, and freelance platforms. Fiverr offers various brand strategy consultants for hire, and Fiverr allows users to view ratings and reviews of strategists, but for senior B2B enterprise work you need a deeper evaluation layer. For roles at this level, passive candidates matter. The people you want are rarely actively looking, which is why network mapping and proactive engagement through a partner like SoftDoes, with deep expertise in staffing and delivery, outperforms job board postings.

Technical Evaluation Pipeline

Forget trivia questions and hypothetical scenarios. Here is what actually reveals whether a candidate can do the work:

  • Live Problem Solving: Hand them a real or anonymized challenge. Ask them to audit a current product's messaging against the competitive set, or design brand positioning for a new feature launch. Watch how they think, not just what they present.
  • Architecture Review: Share your current state (MVP, product stack, regulated constraints) and ask the candidate to present a strategic roadmap, messaging pillars, and brand narrative. This is where you hear whether they think in systems or in one off deliverables.
  • Communication Under Pressure: Present conflict scenarios. Product wants speed over brand guardrails. Design wants minimalist while strategy calls for expressiveness. Legal has constraints that limit messaging. See how the candidate navigates tradeoffs without collapsing into people pleasing or rigidity.
  • Cross Functional Culture Fit: Product, UX, marketing, and sales stakeholders should all interview. Look for evidence of handling feedback loops, iterating on work, documenting decisions, and maintaining clarity across teams. They align brand goals with audience expectations, and that alignment requires trust from every function.

The First 90 Days: A Ramp Up Protocol That Delivers Immediate ROI

Divide the onboarding into three phases with concrete deliverables and clear ownership at each stage.

  • Day 1 to 30: Immersion and Diagnosis. The strategist conducts stakeholder interviews across product, sales, engineering, and customer success. They audit every existing brand artifact: messaging, identity, past campaigns, UX copy, design systems. The deliverable is a "state of brand" diagnostic that maps gaps, contradictions, and opportunities. This is where they define the essence of what is working and what is not.
  • Day 31 to 60: Strategic Foundation. Build the core positioning: ICP, value propositions, differentiators. Create the messaging framework and brand voice guidelines. Begin pilot work: review an upcoming release or campaign and adjust messaging to fit the new strategic direction. A brand strategist integrates brand and culture with business strategy during this phase, ensuring that internal teams can actually use what is being built.
  • Day 61 to 90: Operationalize and Prove. Roll out brand guidelines. Train internal teams. Begin tracking brand health metrics against the baseline. Execute on impactful early wins: product pages updated, content published, a launch aligned with the new positioning. KPIs at this point include stakeholder satisfaction scores, messaging consistency rate from audit samples, campaign performance versus historical benchmarks, and timeline adherence.

Making the Final Decision

Interview Signals: Red Flags vs. Green Flags

After years of evaluating brand strategy talent, these are the signals that matter.

Red Flags:

  • Tool Obsession Over Problem Solving: Talks about social channels, logo redesigns, or color palettes without connecting any of it to business goals. If every answer starts with a tool or tactic instead of a business outcome, walk away.
  • Aesthetics Without Data: Cannot point to a single metric that improved because of their work. Effective branding requires data analysis and competitor research, and anyone who cannot show how their messaging shifted perception or improved conversion is not operating at a senior level.
  • Inability to Discuss Past Failures: Every project was a success, every client was happy, no tradeoffs were ever made. This person has either not done hard work or is not self aware enough to learn from it.
  • Narrow Channel or Industry Experience: Only one channel, one vertical, no interest in how brand strategy intersects with product, UX, or regulated constraints. You need someone who can evolve with your business, not someone locked into a single playbook.

Green Flags:

  • Pragmatic Tradeoff Analysis: Can articulate choices like "we traded off speed to ensure consistency" or "we delayed launch to resolve a brand voice mismatch with our regulatory posture." This is the language of someone who has lived through real decisions.
  • Deep Focus on Data and System Integrity: Talks about brand health dashboards, audit cadences, measurement frameworks. They create systems, not just deliverables.
  • Proactive Risk Identification: Anticipates brand drift before it happens. Flags product branding overextension, inconsistent UX messaging, or emerging compliance risks without being asked.
  • Stakeholder Alignment Savvy: Evidence of cross team facilitation, structured feedback loops, internal training programs, and governance of brand work. Brand strategists help businesses achieve clear market differentiation, but only when they can get an entire organization moving in the same direction.

Why SoftDoes Is the Partner That Eliminates the Risk

SoftDoes is not a staffing agency that throws resumes over the wall. We are a North America focused custom software engineering and AI partner serving clients across the US and Canada, and we bring that engineering rigor to every talent deployment. Our brand strategy consultants and strategists are battle tested senior people, not unvetted freelancers. Every placement comes with engineering led delivery oversight, so brand strategy is immediately operational and integrated with your product and technology teams. We deploy fast, we scale up or down based on your needs, and we back every placement with a zero risk replacement guarantee. If the fit is not right, we correct it at our cost, not yours.

Through our talent network, you get access to pre vetted professionals who have been evaluated through the same rigorous pipeline described in this playbook: live problem solving, architecture reviews, cross functional interviews, and domain validation. No guesswork, no wasted months, no six figure hiring mistakes.

Your Next Move

Every week without the right brand strategist is a week of misaligned messaging, missed positioning opportunities, and compounding brand debt. If you are ready to stop gambling on recruitment and start deploying proven talent, book a technical discovery session with our team. We will audit your current brand strategy needs, map the right profile, and present matched candidates, typically within two to four weeks.

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