Hire UX Strategists Backed by a U.S. Delivery Team

Looking to hire a UX Strategist? Our UX Strategists bring senior-level expertise, backed by a U.S. delivery team.

HIRE NOW
  • 100+

    Fully Vetted Developers

  • 24h

    Average Matching Time

  • 300

    Project Delivered

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

Hire remote UX 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.

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Discover More UX Strategists in the SoftDoes NetworkRegister to view more

What our UX Strategists can build

Not sure which engagement model fits?

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

Explore Services

FIND THE
RIGHT expert, FASTER

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

How to hire a UX 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 UX Strategist through SoftDoes?

SoftDoes maintains a pre vetted network of senior UX strategy talent, which compresses the typical hiring timeline dramatically. While traditional recruitment for a senior UX Strategist can take eight to twelve or more weeks from job posting to offer acceptance, SoftDoes typically delivers a shortlist of qualified, pre screened candidates within days. The full process from requirement review through interviews to engagement kickoff generally takes four to eight weeks, depending on the complexity of the role and your internal decision making process. For urgent needs, our rapid deployment capability can present matched candidates in under 24 hours.

What does it cost to hire a UX Strategist?

UX strategists earn an average salary of $104,937 per year, with senior UX strategists commanding around $131,408 per year depending on experience, location, industry, and the regulatory or technical complexity of the work. When you add overhead such as benefits, tools, and onboarding, the total cost of an in house hire increases by roughly 1.25x to 1.5x. The more critical number to keep in mind is the cost of a bad hire, which can reach 1.5x to 3x the first year salary when factoring in lost engineering output, morale damage, and replacement costs. SoftDoes engagement models are structured to mitigate that risk through pre vetting and our zero risk replacement guarantee.

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

SoftDoes offers multiple engagement models tailored to your company's stage and needs. You can engage a UX Strategist as a dedicated full time team member embedded within your product and engineering organization, as a contract consultant for a defined scope or project phase, or as part of a dedicated pod alongside complementary roles such as a UX researcher, product designer, or UX designer. Each model has trade offs: a dedicated hire gives deep alignment and long term investment; a contract offers speed and flexibility; a pod delivers breadth of expertise with built in collaboration. SoftDoes helps you select the model that matches your budget, timeline, and strategic goals.

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

For remote or cross border engagements, SoftDoes ensures core overlap hours between your UX Strategist and your engineering, product, and marketing teams. During the matching process, we prioritize candidates located in time zones compatible with your operations, ensuring synchronous communication windows for critical meetings, sprint ceremonies, and stakeholder reviews. For regulated industries where oversight and compliance reviews require real time collaboration, we build in additional alignment safeguards and redundancy for mission critical sessions.

How does SoftDoes technically vet a UX Strategist?

SoftDoes employs a multi stage technical vetting process that goes far beyond resume screening. Candidates undergo portfolio review focused on measurable business outcomes and user research impact, live problem solving exercises using realistic strategic scenarios, architecture audit assessments where they evaluate and propose improvements to real UX systems, and evaluation of communication and trade off decision making under ambiguous conditions. We also assess domain and regulation expertise relevant to your industry and conduct cross functional role play to evaluate how candidates interact with engineering, product, and compliance stakeholders. Verification successful at every stage ensures only candidates with proven strategic thinking, not just design tool proficiency, reach your interview pipeline.

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

SoftDoes provides a zero risk replacement guarantee. If the strategist is not the right fit during the engagement, we initiate an immediate replacement at no additional cost. Transition plans include knowledge transfer, documentation handoff, and overlap periods to minimize disruption and prevent knowledge loss. If your needs change, whether you need to scale up with additional strategists, shift from contract to dedicated hire, or scale down as a project phase concludes, SoftDoes adjusts the engagement structure without the friction of traditional HR processes. Innovation in how you deploy talent should never be bottlenecked by rigid contracts.

The Executive Guide to Hiring a UX Strategist

A single bad UX Strategist hire can quietly drain six figures in lost engineering cycles, rework, and delayed launches before anyone flags the problem. On the flip side, the right placement transforms product velocity, user retention, and cross functional alignment almost immediately. This playbook gives you a field tested strategy to define, vet, and onboard top tier UX Strategist talent, built from hard won lessons across enterprise software delivery, regulated industries, and high growth product teams.

What Actually Separates a Senior UX Strategist from an Order Taker

The Daily Operational Realities Most Job Specs Completely Miss

Forget the sanitized job descriptions. The role of a UX strategist is to solve the right problems before designing solutions, not to push pixels or create wireframes in a vacuum. A well defined UX strategy is essential for product success, and the person leading it must operate at the intersection of user research, business strategy, and engineering reality. UX strategy connects user insight to product direction, and the strategist you hire must own that connection end to end.

Here is what senior UX strategist talent actually does every day:

  • Leads discovery and opportunity framing. They run user journey mapping, service blueprints, and cross platform touchpoint audits to identify where friction kills retention or conversion optimization.
  • Manages trade offs under pressure. Usability vs. performance, speed vs. scalability, feature richness vs. simplicity, technical debt vs. innovation. They make the call, document the rationale, and defend it to stakeholders.
  • Shapes product roadmaps with business outcomes in mind. Prioritization frameworks tied to retention, onboarding time, activation rates, and revenue. Not opinion driven backlogs.
  • Builds system level consistency. Design systems, information architecture frameworks, experience principles ensuring cohesion across product lines and digital products.
  • Influences without authority. Diplomatically aligning product management, engineering, marketing, and executives, delivering strategy under ambiguity and technical constraints.
  • Synthesizes mixed methods research. UX strategists synthesize qualitative and quantitative studies to identify user behaviors, combining behavioral insights, competitive benchmarking, analytics data, and qualitative research to validate hypotheses and inform design direction.

UX strategists work across disciplines with product managers, researchers, and designers. They are not siloed contributors. They foster team cohesion by establishing a shared vision that connects every sprint to the bigger picture.

The Financial and Operational Case You Need to Make Internally

Hiring a skilled UX strategist requires assessing strategic thinking over visual design, and the business case reflects that distinction. Here are the concrete ROI vectors that justify the investment:

  • Technical Debt Reduction. A strategist eliminates duplicative designs, mismatched patterns, and inconsistent UX flows before they become costly refactors eating sprint capacity downstream.
  • Accelerated Time to Value. Faster onboarding, clearer specs, fewer iteration cycles. Development teams ship features faster with fewer feedback loops when the experience strategy is locked in early.
  • Improved Retention and Conversion. Clear customer journeys, fewer friction points, and higher activation rates directly drive business outcomes. A UX strategist ensures product alignment with user research and business goals.
  • Risk Mitigation in Regulated Environments. For healthcare, finance, and energy clients, strategists ensure designs meet accessibility standards, privacy, and compliance requirements before they become expensive failures.

The cost of getting this wrong is severe. With UX strategists earning an average salary of $104,937 per year and senior UX strategists earning around $131,408 per year, a bad hire can cost 1.5x to 3x the first year salary when you factor in lost output, morale damage, replacement costs, and delayed launches.

Before You Post a Single Job Listing

Audit Your Technical Constraints First

Before you source a single candidate, get surgical about what you actually need. Most failed UX strategy hires trace back to fuzzy requirements, not talent shortages.

What Problem Must This Hire Solve First?

Map your current product tech stack, level of technical debt, modularity, component reuse, latency issues, and platform compatibility constraints. Define the first problem: Is it persona drift? Friction on critical user flows? Fragmented customer experiences across platforms? Slow onboarding cycles killing activation? The answer shapes every downstream decision, from the candidate profile to the evaluation criteria.

Embedded Specialist or Dedicated Pod?

Decide whether the strategist will be embedded full time within your UX and product team, leading a dedicated pod, or acting as an external consultant. Assess existing design maturity: Do you have UX researchers, a product designer pipeline, product ops? What level of autonomy will this person have versus dependencies on the product manager, engineering leads, and marketing? The autonomy level directly determines the seniority and temperament you need.

In House FTE Friction vs. Vetted Remote Talent

Compare hiring an in house full time employee against a contract engagement or a vetted remote specialist through a talent partner. For regulated industries, remote or external resources may raise compliance or confidential information concerns. Factor in time zone alignment, overlap hours, and communication richness. An FTE gives deep alignment but slower onboarding; a dedicated remote specialist through a partner like SoftDoes offers faster deployment and lower risk, especially with a replacement guarantee backing the engagement.

Engineering the Ideal Profile Instead of a Generic Job Spec

Stop writing generic job specs that attract generic candidates. UX strategists typically have 8+ years of experience in the field, so your profile should reflect the operational reality of your environment:

  1. Core Outcome and Mission. Define the mandate in measurable terms. Example: "Normalize user interview data to reduce customer support tickets by 20%" or "Establish a design system reducing UI refactor work by 30%." Clear accountability and success metrics from day one.
  2. Technical Stack Reality. Specify which tools, CMS platforms, analytics systems (Mixpanel, Amplitude, FullStory, Hotjar), design systems (Figma, Miro), and front end frameworks they will work with. Include specific requirements around compliance (HIPAA, WCAG) and performance constraints.
  3. Decision Making Authority. Will they own shared UX principles and roadmap priorities, or execute on features set by the product manager? Clarify cross functional escalation paths and how much influence they carry.
  4. Growth Trajectory. Map seniority expectations, exposure to regulated industries or multi product lines, mentoring ability, and upward paths to Director of UX, Head of Experience Strategy, or lateral moves into product strategy and content strategy.
To Contact Page

Let’s Turn Your Idea into Scalable Software

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

Contact us

The Vetting and Onboarding Playbook That Actually Works

A Battle Tested Vetting Framework for UX Strategy Talent

Where the Real Candidates Actually Are

Traditional recruiters focus on titles, not impact. Generic job boards miss the high caliber ideal candidates who are active in niche UX strategy communities, conferences, and senior design leadership networks. Specialized job boards like UX Jobs Board are effective for finding UX talent, and referrals from product professionals are valuable for hiring a senior UX strategist. But the fastest, lowest risk path is a prescreened network where candidates have already been vetted for strategic thinking, domain expertise, and cross functional communication skills, not just tool proficiency. This is where working with a specialized UX partner compresses your timeline and eliminates mis match risk.

The Technical Evaluation Pipeline

Forget trivia questions about design tools or textbook definitions of usability. Here is what separates real evaluation from theater:

  • Live problem solving. Present a hypothetical but relevant strategic problem (redesigning onboarding for international users, integrating a legacy system, migrating from monolith to micro frontends) and evaluate how the candidate frames trade offs, asks clarifying questions, and structures a response.
  • Architecture review. Ask the candidate to audit part of your UX architecture, journey maps, or design system and present an improvement plan. This reveals system thinking, ownership instinct, and the ability to leverage UX principles in real world constraints.
  • Communication under pressure. Present ambiguous, contradictory business objectives (push for speed vs. strict compliance) and observe how they reconcile conflicts, engage stakeholders, and navigate uncertainty.
  • Cross functional culture fit. Bring in product, engineering, compliance, and marketing leads. Ask for examples of past failures and how they managed them. Portfolio case studies should demonstrate business results and user research, not just polished screens.

A Frictionless 30/60/90 Day Ramp Up Protocol

A strong ramp up protocol is the difference between fast ROI and months of drift. UX strategy involves planning the creation of user centered solutions, and your new strategist needs a structured runway to deliver:

Days 1 through 30: Listen and Learn. Company vision, product roadmap, key stakeholder introductions (PM, engineering, customer support, compliance). Audit existing UX work, analytics dashboards, and the competitive landscape. Full tooling access and knowledge transfer. They conduct user research to inform UX and experience strategy during this phase.

Days 31 through 60: Process and Align. Identify high leverage areas (onboarding, critical workflows). Propose strategic principles, establish governance or review processes, align on metrics and KPIs. UX strategists create user journey maps and personas as part of their role. Start owning at least one roadmap slice and delivering small wins.

Days 61 through 90: Ship Outcomes and Scale. Deliver measurable improvements: reduced friction, improved conversion, fewer support tickets. Launch or adjust a component of experience design strategy. Push for strategic direction approval for the next half. Begin mentoring the team, improving methods and processes. Communicate wins to leadership and confirm metrics ownership.

Signals That Make or Break the Final Decision

Interview Red Flags and Green Flags Every Executive Should Know

Red Flags That Should Stop the Process:

  • Tool obsession without strategy. The candidate talks endlessly about Figma workflows or visual design but cannot discuss trade offs, metrics, or driving business outcomes.
  • No failure stories. Every project is a success, every outcome is perfect. This signals either self promotion over substance or a lack of real enterprise experience.
  • Cannot articulate technical requirements. If they cannot speak to legacy constraints, data limitations, or regulatory requirements, they will crumble in your environment.
  • Isolation mentality. Focuses exclusively on UX output without mentioning collaboration with engineering, PM, compliance, or marketing. A UX researcher or UX designer who never references cross functional alignment is a red flag for strategy roles.

Green Flags That Signal a Strong Hire:

  • Pragmatic trade off analysis. Can argue when to ship minimal vs. perfect, speed vs. maintainability, with clear rationale and data driven insights supporting the call.
  • Data and system integrity focus. Shows examples of using analytics, customer feedback, technical debt, and performance as decision inputs. They synthesize user needs with business goals and technical constraints.
  • Proactive risk identification. Volunteers "if we do X, the risk is Y, and here is how I would mitigate" without being prompted.
  • Evidence of leadership beyond their remit. Mentoring, raising UX maturity, influencing product strategy, ensuring cross product consistency. Business design alignment is facilitated through workshops and stakeholder interviews, and strong candidates can demonstrate this.

Why SoftDoes Is the Strategic Advantage You Need

SoftDoes is a North America focused custom software engineering, data, and AI partner serving clients across the US and Canada. When it comes to deploying UX strategy talent, the difference is operational:

  • Battle tested senior talent. Every strategist in our network has been vetted for enterprise complexity, not just portfolio aesthetics. We evaluate expertise in data driven strategies, cross functional collaboration, and domain knowledge.
  • Engineering led delivery oversight. These are not unmanaged freelance UX strategists. Every engagement includes delivery accountability, sprint alignment, and engineering workflow compatibility.
  • Rapid deployment capability. Average time to match a UX strategist is under 24 hours, not the months of pipeline friction traditional recruitment demands.
  • Scale up or down flexibility. Adjust team size based on project demands, growth opportunities, or shifting business objectives without HR overhead or long term commitments.
  • Zero risk replacement guarantee. If the fit is not right, immediate replacement at no cost. No drawn out termination processes, no wasted quarters.

Whether you need an embedded strategist for ongoing product development or a specialized UX content and strategy expert to complement your team, SoftDoes delivers the talent and the accountability.

Your Next Move

Every week you operate without the right UX strategy leadership is a week your development teams build features that may not align with user needs, your technical debt compounds, and your competitors close the gap on customer experiences. UX strategists help design experiences that meet user needs, and the cost of delay far exceeds the cost of action.

Book a technical discovery session with SoftDoes architects. We will audit your current UX strategy gaps, map the ideal candidate profile to your specific requirements, and present pre vetted senior talent ready to deploy. No lengthy RFP processes. No risk. Just execution.

Flag icon

U.S.-Based

Discuss Your Project

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

Certificates

Let's build together.

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

Upload File