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Hire remote Digital 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
AI Engineer | Data Scientist
FR 🇫🇷English (C1)Senior
Deep LearningMachine LearningInterpretabilityConvolutional Neural Networks

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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What our Digital Strategists can build

Not sure which engagement model fits?

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RIGHT expert, FASTER

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How to hire a Digital 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 Digital Strategist through SoftDoes?

The average recruitment cycle for a senior digital strategist role through traditional channels often runs 6 to 10 weeks when you factor in sourcing, screening, interviewing, and reference checks. Through SoftDoes, this timeline compresses to roughly 3 to 5 weeks because candidates in our network are already pre vetted for technical skills, strategic depth, and cultural fit. In many cases, we can introduce qualified candidates within days of understanding your requirements, so you spend less time screening and more time evaluating real fit.

What does it cost to hire a Digital Strategist?

Costs vary based on seniority, engagement model, and scope. For freelance or consultant digital strategists, hourly rates typically range from $30 to $75 per hour depending on expertise and project complexity. Full time salaries in the US generally fall between $80,000 and $138,000 annually, with senior roles in regulated industries or those requiring AI and ML fluency commanding rates above $150,000. SoftDoes works with you to structure an engagement (dedicated hire, pod, or contract) that fits your budget while delivering enterprise grade talent. The key is aligning investment to the business outcomes you need, not just filling a seat.

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

SoftDoes offers flexible engagement models to match your stage and goals. A dedicated hire embeds a single digital strategist directly into your team for ongoing strategic ownership. A pod model gives you a cross functional mini team (strategist plus UX, engineering, or data specialists) for comprehensive digital transformation and implementation. A contract or retainer model works well for project based initiatives or fractional, part time strategic support. Each model has trade offs in cost, alignment, and speed, and you can shift between them as your needs evolve.

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

SoftDoes is a North America focused talent delivery partner, so our network is concentrated in US and Canadian time zones. For every engagement, we confirm overlap hours, establish clear communication channels, and agree on a regular check in cadence from the start. Candidates in our network have demonstrated prior experience with remote or distributed collaboration, which means they understand how to maintain momentum and visibility without being in the same office. If your team operates across multiple time zones, we factor that into the matching process.

How does SoftDoes technically vet a Digital Strategist?

Our vetting goes well beyond reviewing resumes. Every candidate undergoes a structured evaluation that includes a review of case studies with measurable results (baseline to outcome, not just aesthetics), a technical screening covering proficiency with analytics tools like Google Analytics 4, automation platforms like HubSpot or Salesforce, paid media tools like Google Ads and Meta Ads Manager, and SEO platforms like Ahrefs and Semrush. We also assign a practical, real world work sample task and conduct an analytical problem solving interview to assess how they think through business challenges. Finally, we evaluate communication skills, stakeholder management ability, and cultural integration to make sure the strategist fits your team, not just your job description.

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

SoftDoes provides a replacement guarantee. If the strategist is not delivering the outcomes you expected, we will reassign resources or introduce a replacement without forcing you to restart a lengthy hiring process. If your workload fluctuates or your strategy shifts, you can scale your engagement up or down through your existing contract. This flexibility is one of the core advantages over traditional hiring, where a mismatch means months of lost time and budget. Our goal is to keep your digital strategy moving forward regardless of how your needs evolve.

How to Hire a Digital Strategist

Most companies that set out to hire a digital strategist end up cycling through underqualified candidates, burning weeks on interviews that go nowhere, and settling for someone who talks a good game but cannot move real business metrics. The cost is not just the salary; it is the months of misaligned spend, stalled campaigns, and strategic drift that follow a bad hire. This guide gives you a concrete, step by step framework for defining what you actually need, vetting candidates with rigor, onboarding for fast impact, and knowing exactly when to bring in a delivery partner that eliminates the guesswork.

What a Digital Strategist Actually Does (And Why It Matters)

The Real Day to Day: Core Tasks and Skills

The title "digital strategist" gets thrown around loosely. In practice, a strong digital strategist works at the intersection of business goals, technology, data, and customer experience. Their expertise lies in turning digital channels into measurable revenue drivers, not just producing slide decks.

Here is what a digital strategist works on daily in an enterprise or scale up environment:

  • Cross channel data audits and KPI dashboards. They pull together performance data from tools like Google Analytics 4, Ahrefs, Semrush, and paid media platforms to build dashboards that track ROI across search engine optimization, paid social, email marketing, and content marketing. Digital strategists create KPI dashboards for performance tracking so leadership sees what is working and what is bleeding budget.
  • Customer journey mapping. They map how your target audience moves across web, app, email, and social media, identifying friction points, drop off, and opportunities for conversion rate optimization. Digital strategists develop customer personas and journey maps for targeted marketing.
  • Technology stack evaluation. They assess and recommend tools (CDPs, marketing automation platforms like HubSpot and Salesforce, CMS, AI and ML tools) based on technical feasibility, integration constraints, and cost. This is not a graphic designer picking colors; it is strategic infrastructure work.
  • Multi stakeholder workshops and roadmap creation. They run workshops with product, engineering, sales, and UX teams, translating digital strategy into tactical roadmaps using prioritization frameworks like RICE or MoSCoW. Strategists should outline a 6 to 12 month roadmap aligned with revenue goals.
  • Experiment design and optimization. They run A/B tests, multivariate tests, and campaign experiments, then present metric backed reports to executives. Digital strategists optimize conversion rates through A/B testing as a core competency.
  • Compliance and regulatory alignment. In regulated industries (fintech, healthcare, e commerce), they coordinate with legal and privacy teams on data governance, consent, and secure tracking, ensuring your digital marketing strategy does not create liability.

Core competencies include SEO, paid advertising, and data analytics. A balance of analytical skills and creative execution is crucial. They also produce digital marketing strategy documents and channel playbooks that serve as the operational backbone for your campaigns.

Why Getting This Hire Right Is a Strategic Priority

Hiring the right digital strategist is not a nice to have. It is a business lever. Here is what a strong hire delivers:

  • Faster time to market. Strategy pre aligns stakeholders and defines clear priorities, so your team stops debating and starts executing.
  • Cost reduction. You avoid misallocated spend on channels or tools that do not move business metrics. Select specialists relevant to your situation rather than full service agencies.
  • Scalable business growth. Systems and campaigns built with scalability in mind (reusable content, automated workflows, modular design) rather than one off executions.
  • Better risk management. A strategist anticipates complexity, compliance issues, technical debt, and legacy system constraints before they become expensive problems. Working across different business areas is essential for effective strategy.

Hiring a digital strategist can transform your online presence when done right. Digital marketing can drive brand awareness and conversions online, but only if the strategist behind it has a proven track record of delivering consistent results.

Getting Your Internal House in Order Before You Hire

Defining Scope, Structure, and Engagement Model

Before you post a role or reach out to any talent network, several internal decisions need clarity. Without these, hiring is inefficient, and the risk of a mismatch skyrockets. Defining primary objectives is the first step in the selection process.

Project Scope and Requirements

What are the immediate project goals? Is this strategist focused on growth marketing and lead generation, digital transformation of internal systems, product and UX strategy, or content strategy? Are key outcomes revenue lift, lower cost per acquisition, or customer retention? Defining clear goals aids in matching expertise with needs.

Digital marketing strategies include SEO, SEM, and content marketing, but your hire may also need hands on experience with web development platforms, paid media management through Google Ads and Meta Ads Manager, or inbound marketing automation. Be specific.

Team Structure and Engagement Model

Will the strategist report to the CMO, VP of Product, or Director of Engineering? Who are their peers? Will they work alongside dedicated designers, data analysts, or engineers? Clarify whether this is a remote position, full time, contract, or part of a pod. The reporting line and team structure directly affect the caliber of candidate you attract.

In House vs. Dedicated Remote Talent

Key trade offs to consider:

  • In house staff gives tighter alignment and access to internal context. Best when the role requires deep institutional knowledge and ongoing brand strategy ownership.
  • Dedicated remote talent provides flexibility, cost variation, and often less overhead. For companies serving global clients or operating across time zones, remote digital strategy consultants can be highly effective.
  • Hybrid model. Scale ups often benefit from a core in house strategy partner plus external specialists for capacity or niche skills (AI, UX audit, performance marketing) via a trusted talent partner.

For regulated industries like finance and healthcare, compliance often argues for in house or tightly managed remote hires with clear SLAs and controls.

Writing a Job Description That Attracts the Right Candidates

A generic job posting attracts generic candidates. Hiring a digital strategist requires a clear project brief. Here are the four elements a standout job description must cover:

  • Mission. State the "why" clearly. Example: "Lead end to end digital strategy to reduce customer churn by X% over the next two quarters" or "Guide cloud migration and AI driven personalization across our e commerce platform." Diagnosing your business needs provides insight into strategists' thinking.
  • Stack and context. Specify tools, platforms, and domains. "Experience with GA4, Tag Manager, BigQuery, marketing automation tools (HubSpot, Marketo), familiarity with HIPAA or PCI compliance." Verifying channel expertise is vital for digital marketing.
  • Team structure. Who this person manages or collaborates with. Clarify reporting line, whether they have full ownership, and whether they will be hands on executing or directing a team of digital marketers.
  • Growth and impact. What success looks like at 90 and 180 days. What KPIs they will move. Whether the company supports experimental budgets. Agreement on measurable outcomes is necessary before hiring a strategist.

Include required vs. nice to have qualifications: years of experience in digital strategy, specific industry niches (SaaS, fintech, healthcare), measurable past results (conversion rate lifts, ROAS improvements), and strong communication skills. Candidates should have proven case studies relevant to your industry.

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How to Source, Vet, and Onboard a Digital Strategist

The Hiring and Vetting Process

Sourcing Strategy

You have several paths, and they are not equal:

  • Outbound recruiting. Headhunting senior candidates via LinkedIn, specialist agencies, or niche recruiting firms. Effective but slow; average recruitment cycles for senior digital strategist roles often run 6 to 10 weeks.
  • Vetted talent networks. Partners like SoftDoes maintain pre vetted pools of senior talent, compressing timelines to 3 to 5 weeks. Toptal matches clients with digital strategists in under 24 hours. Freelancer.com allows comparison of profiles and portfolios for freelance digital strategists. The right sourcing channel depends on your urgency, budget, and complexity.
  • Referrals. Sourcing from similar industries (finance, healthcare, SaaS) gets you candidates familiar with your constraints.
  • Contract to hire. Project based engagements to test fit before full commitment. This is especially valuable for roles touching multiple clients, marketing strategies, and cross functional teams.

Evaluating niche relevance reduces onboarding time. The best digital marketers often come from industries adjacent to yours, not from agencies that serve everyone.

Vetting Beyond the Resume

This is where most hiring processes fail. Use a scorecard to evaluate candidates objectively:

  • Portfolio and case studies with real numbers. Reviewing case studies focuses on measurable results, not aesthetics. What was the baseline? What strategy was designed? What results were achieved (ROAS, conversion rate lift, cost per acquisition decrease)? Analyze case studies with an investor mindset for deeper insights. Successful campaigns can achieve a return on ad spend of 7 to 8 times. Look for measurable growth metrics in candidates' past work. Portfolio quality includes examining past campaigns and results.
  • Technical screening. Verify that a candidate understands analytics tools, automation platforms, and data driven methodologies that rely on KPIs and customer lifetime value. Digital strategists use Google Analytics 4 for data analysis. Ahrefs and Semrush are popular for SEO and content research. Google Ads and Meta Ads Manager are key paid media tools. HubSpot and Salesforce are widely used for marketing automation. Hiring a strategist requires assessing core business experience and technical skills.
  • Practical real world task. Give a real business problem (for example, improve a conversion funnel in your existing app or site). Ask for a strategic plan with recommended channels, KPIs, timeline, trade offs, and tech stack. Strategists should request a mini audit to demonstrate strategic depth. A digital marketing strategy document typically includes channel playbooks. Candidates should demonstrate strategic thinking and measurable outcomes.
  • Analytical, problem solving interview. Present past scenarios: "Given this data on ad performance, UX funnel, and traffic, where are bottlenecks likely? What hypotheses would you test first?" Effective strategists translate complex data into clear insights.
  • Culture fit. See how they interact with product, engineering, and compliance teams. Can they advocate strategy without hierarchy? Can they adapt to ambiguity? Cultural fit between the strategist and your company is important. Meet the strategist who will execute your digital strategy before hiring. Evaluation should include communication skills and cultural integration. Clear communication simplifies complex ideas for better understanding.

Quantifiable proof of success is essential in evaluating digital strategists. Be cautious of red flags like vague promises without measurable outcomes.

Onboarding and Retention: The 30/60/90 Day Framework

A strong hire can still fail without a structured ramp. Here is how to set your new digital strategist up for impact:

  • Days 0 to 30: Immersion. Deep dive into your business model, current digital assets, tool stack, metrics, and KPIs. Meet all key teams. Review past marketing strategies and campaigns. Grant full access to data. Identify early wins (a quick SEO audit, a social media marketing quick fix, an email marketing workflow improvement) to build momentum and credibility. Digital strategists conduct audits of website performance and SEO health. They also create documented marketing plans for businesses.
  • Days 30 to 60: Ownership begins. The strategist takes ownership of one or two strategic initiatives, whether that is a campaign redesign, a content marketing overhaul, new paid social channels like TikTok ads or meta ads, or an AI proof of concept. They embed in regular reporting cycles and collect initial metrics. Effective digital strategies often utilize email automation and social media.
  • Days 60 to 90: Full ownership. Establish longer term roadmaps, define a performance scorecard, and align with executives. Begin scaling adjustments: resource needs, team additions, stakeholder processes. Ensure feedback loops and regular communication cadence.

To retain senior strategists: provide autonomy, access to decision makers, investment in emerging technologies and tools (AI, ML, new platforms), clear visibility into impact, and a path for growth (leading bigger programs, managing teams or pods).

Making the Right Call: Red Flags, Green Flags, and Your Next Step

What to Watch For When Evaluating Candidates

Red flags (warning signals during interviews):

  • Vague or generic results. Portfolios with no numbers, unclear ownership, superficial claims ("increased traffic" but no baseline, no timeframe). This is the single most common indicator of a weak hire.
  • No understanding of trade offs. Overemphasis on creative or content without recognizing budget constraints, technical debt, compliance limits, or offline channels. Strategy is about choices.
  • Tool and stack mismatch. Claims of expertise in tools but lacking depth; no hands on experience with the analytics, automation, or CMS platforms your organization uses. Technical skills matter.
  • Poor communication. If they cannot articulate why they made decisions, how they measure success, or present to non technical executives, they will not influence your business. Communication skills are non negotiable.

Green flags (positive indicators of senior level capability):

  • Demonstrated measurable impact. Decreased acquisition cost, increased conversion rates, improved retention or revenue, ideally in your industry segment. A proven track record with real numbers.
  • Holistic thinking. Ability to connect UX, engineering, content strategy, compliance, and data. They foresee dependencies, constraints, and risks before they become blockers.
  • Technical fluency. Even if not writing code, familiarity with data pipelines, AI and ML options, web design constraints, and the ability to critique architecture and integrations. The best digital marketers and top companies insist on this.
  • Cross team leadership. Ability to lead workshops, negotiate priorities, interface with the C suite, and manage stakeholders across various industries and functions. They do not just advise; they drive.

Why Partnering with SoftDoes Gives You an Edge

Traditional hiring often mistakes "online marketing specialists" for true digital strategists. SoftDoes provides senior digital strategy consultants who understand not only brand strategy, content marketing, social media marketing, market research, product marketing, and growth marketing, but also systems architecture, data engineering, AI integration, and cloud migration.

Here is what makes this different from hiring freelance digital strategists off a marketplace:

  • Team delivery model. You get continuity and collaboration, not an isolated contractor. Knowledge transfer happens naturally. Your strategist works alongside engineers, UX designers, and data specialists, not in a silo.
  • Vetted senior talent. Every strategist in our talent network has been screened for technical depth, strategic thinking, and real world results across digital channels. No guesswork.
  • Replacement and scaling guarantees. If the fit is not right, or your needs shift, you can scale up, scale down, or swap resources without restarting a months long hiring process. Flexible engagement models from a single specialist to a full pod.
  • Innovation and emerging technologies. SoftDoes strategists stay ahead of trends in AI, ML, automation, privacy, and first party data strategies, helping brands and businesses adapt rather than react.

For small businesses and enterprises alike, the difference is speed, quality, and risk reduction. You get the best of dedicated hire alignment with the flexibility of contract engagement, and the cross functional depth that isolated digital marketers simply cannot offer.

Ready to Hire a Digital Strategist?

If you are ready to stop cycling through unqualified candidates and start working with a strategist who moves real metrics, the next step is simple. Schedule a discovery call with SoftDoes. We will assess your needs, match you with a pre vetted strategist (or a full pod), and get them integrated into your team within weeks, not months. No long term lock in. No hiring risk. Just results.

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