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Hire remote Go To Market Consultant

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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.
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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.
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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.
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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.
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Eugene M.Verified in SoftDoes
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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.
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Eugene M.Verified in SoftDoes
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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.
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Verified in SoftDoesHripsime S.
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FR 🇫🇷English (C1)Senior
Deep LearningMachine LearningInterpretabilityConvolutional Neural Networks

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

Hripsime S.
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Hripsime S.Verified in SoftDoes
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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.
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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.
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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 Go To Market Consultants can build

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How to hire a Go To Market Consultant

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 Go To Market Consultant through SoftDoes?

SoftDoes typically presents qualified, vetted candidates within one to two weeks of scoping your requirements. From there, full contract negotiation and onboarding usually takes an additional two to four weeks before work begins. The exact timeline depends on the complexity of the role, the specificity of the industry or market you are targeting, and how quickly your internal stakeholders can move through interviews and decision making. Compared to traditional recruiting cycles that can stretch months, this matching process is designed to get a strong gtm consultant working on your business fast without sacrificing quality in vetting.

What does it cost to hire a Go To Market Consultant?

Costs vary based on scope, seniority, and engagement duration. GTM consulting costs range from $60 to $150 per hour for experienced consultants. A diagnostic phase for an early stage company might cost in the range of $5,000 to $15,000, while larger implementations involving full go to market plan design, sales enablement, channel strategy, and ongoing optimization can run $20,000 to $60,000 or more depending on complexity. The investment should be measured against outcomes: consultants who fix revenue leaks, improve win rates, and build repeatable systems deliver far more value than their cost. A well executed GTM strategy can lead to 200% sales increases for new products, making the right engagement a high return investment.

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

SoftDoes offers multiple engagement models to match your needs and maturity stage. Options include a short diagnostic consultation (typically two to four weeks focused on market research, ICP validation, and roadmap), strategy only engagements, strategy plus implementation, a retained advisor model, a dedicated full time or part time senior specialist, a team or pod of consultants covering multiple disciplines, fractional roles, and hybrid models. If you are a private equity backed company needing rapid GTM optimization across a portfolio, a pod model provides the bandwidth. If you need a single expert to refine your pricing strategy and competitive analysis, a focused contract works. The right model depends on whether you need to build a marketing engine from scratch or optimize an existing one.

How do you ensure time zone alignment with a Go To Market Consultant?

SoftDoes is focused on North America, which means consultants are sourced from the US, Canada, or nearby regions with committed working hour overlap. Expectations around meeting cadence, response times, and core collaboration hours are set explicitly in every contract. For teams that operate across multiple time zones, SoftDoes selects remote talent with demonstrated experience in asynchronous communication and structured update rhythms, so your go to market consultant integrates smoothly with your internal teams regardless of where individual members sit.

How does SoftDoes technically vet a Go To Market Consultant?

SoftDoes runs a multi step vetting process that goes well beyond resume review. First, operator experience is verified: what did the consultant actually ship, own, and deliver, not just advise on. Second, past deliverables and real outcomes are inspected, with a focus on quantitative results (pipeline generated, conversion rate improvements, CAC reduction). Third, candidates complete a technical problem solving task that simulates a real GTM diagnostic scenario. Fourth, references are checked with a focus on collaboration, delivery quality, and ability to drive results with sales teams and marketing teams. Finally, SoftDoes confirms relevant industry and regulatory context and ensures the candidate has worked with tools and systems similar to yours (CRM, analytics platforms, market research tools). This process ensures you get a go to market consultant with specialized expertise, not a generalist who reads from a playbook.

What happens if the Go To Market Consultant isn't the right fit, or I need to scale up or down?

SoftDoes builds flexibility into every engagement. If a consultant is not delivering the expected results or is not the right cultural fit, SoftDoes provides a replacement guarantee so you can switch without starting the hiring process over. If your needs change, whether you need to scale up for a major product launch into a new market or scale down after the initial diagnostic and roadmap phase, the engagement model adjusts accordingly. Contracts include performance reviews at defined milestones with clear off ramps and adjustment points. This protects you from being locked into an engagement that is not working and ensures your go to market consulting investment stays aligned with your evolving business objectives.

How to Hire a Go To Market Consultant

Most companies hire a go to market consultant the same way they hire a marketing agency: scan a few LinkedIn profiles, run two calls, and hope the person can deliver. Weeks later, they're stuck with a beautiful strategy document that nobody executes and a pipeline that hasn't moved. This guide walks you through exactly how to define what you need, find and vet the right GTM consultant, onboard them for fast results, and avoid the most common (and expensive) hiring mistakes.

What a Go To Market Consultant Actually Does and Why It Matters

The Real Work Behind Go To Market Consulting

A go to market consultant operates at the intersection of product, sales, marketing, and customer success. Their job is not to produce slide decks. It is to diagnose what is broken across your GTM motion, align your internal teams, and design a system that converts market opportunity into revenue growth.

Go to market consultants help companies launch new products or enter new markets. A go to market strategy outlines how to launch a product, and GTM strategy typically answers questions about target market and pricing. In practice, day to day work includes:

  • Defining or refining the Ideal Customer Profile (ICP): Analyzing historical data, running customer interviews, and building segmentation (firmographic, technographic, behavioral) so your sales teams and marketing teams pursue the right customer segments instead of spraying outbound into the void. Consultants help identify ideal customer profiles based on market data.
  • Messaging and positioning development: Conducting competitor analysis, buyer interview work, and crafting a value proposition and messaging framework that resonates with your target audience. GTM consultants help clarify product value propositions.
  • Pricing strategy and packaging analysis: Assessing price models, packaging tiers and features, and calibrating pricing to capture value without undercutting demand. Consultants develop optimal pricing models to match customer expectations. A complete GTM strategy includes customer segmentation and pricing.
  • Designing or optimizing the sales process and GTM motion: Selecting between product led, sales led, or channel led motions, then mapping stages, defining funnels, handoffs, and conversion benchmarks. GTM consultants focus on revenue motion and pipeline building.
  • Channel strategy and sequencing: Picking which distribution channels and marketing channels to use (inbound, outbound, partners, marketplaces), sequencing them, setting budgets, and building attribution rules to identify effective channels.
  • Analytics, measurement, and metrics: Defining KPIs (CAC, LTV, win rates, pipeline velocity, NRR), building dashboards, and instilling review rhythms so leadership can see what is working and what is not. Effective GTM strategies drive revenue and customer engagement.

They typically divide work into a diagnostic phase (often two to four weeks) that produces a prioritized roadmap, followed by an implementation phase that executes top levers over several more weeks. Creating unified playbooks aligns product, marketing, and sales teams across every stage.

Why Hiring the Right Go To Market Consultant Is a Strategic Priority

Hiring the right GTM consultant is not a nice to have. It is a lever that directly affects your ability to successfully launch products and capture market opportunity. 81% of buyers choose vendors before contacting sales teams, which means your go to market approach, messaging, and channel strategy must be dialed in before a single sales call happens. Effective GTM strategies incorporate defined customer journeys and pain points.

The concrete business benefits:

  • Faster time to revenue: A strong gtm strategy diagnoses bottlenecks and closes gaps in ICP, messaging, and sales processes so launch issues get minimized and cycle time drops. Consultants help avoid costly product launch mistakes.
  • Better ROI on spend: Avoid wasting budget on channels or content that do not convert. Consultants streamline resource allocation toward high yielding activities, reduce CAC, and improve win rates. Go to market consultants can increase sales by 10 to 20%.
  • Scalability and repeatability: Build a system, a GTM playbook, funnel, and metrics framework, that your sales teams, marketing teams, and customer success teams can run without constant oversight. Top go to market consultants can double growth rates for SaaS products.
  • Cross functional alignment: Ensuring internal consistency in messaging, pricing, and handoffs across product, sales, marketing, and support reduces leaks in the funnel and improves retention. Misalignment can lead to costly mistakes in market opportunities.

Firms with tightly aligned go to market strategies see materially higher win rates and sustained growth, making the right hire a direct path to competitive advantage.

How to Prepare Before You Start Hiring

Defining Your Needs Before You Hire

Before you begin sourcing candidates, get clear on what you actually need. Skipping this step is the single biggest reason companies end up with market consultants who deliver generic recommendations instead of actionable insights.

Project Scope and Requirements

Define whether you need a full GTM audit and diagnostic (identifying gaps across your entire go to market system) or a focused fix (for example, messaging, channel strategy, or pricing strategy alone). Decide whether you want strategy only or strategy plus implementation. If you need someone to build your marketing engine and sales enablement infrastructure, that is a very different scope than a two week market analysis. Clarify how deep the consultant must go: surface level best practices versus technical pricing models versus analytics instrumentation.

Team Structure and Engagement Model

Map out how the consultant will interact with your existing team. Identify who they will need access to: product leads, sales reps, marketing teams, data teams. Understand your internal dependencies. Is there an ops team to absorb execution? How much capacity do your internal teams have? Define senior stakeholders, decision makers, and reporting lines up front. Consultants help align internal resources with market capture efforts, but only if they have clear access and authority.

In House vs. Dedicated Remote Talent

Consider whether to hire a full time GTM staffer or bring in external specialized expertise, either a single consultant or a team pod. In house hires provide long term leadership for established teams, but take longer to source and carry more overhead. External consultants bring speed, pattern recognition from working across various industries, and external benchmarks. The trade off: external talent risks misalignment if not well briefed. For most companies at inflection points (pre Series A needing ICP and messaging, post Series A needing a repeatable sales strategy, or hitting a growth plateau), external go to market consulting delivers faster time to impact.

What a Strong Job Description Must Cover

A weak job description attracts weak candidates. A standout job description for a go to market consultant covers four elements:

  • Mission: Define the key outcome you expect, not a task list. For example: "Define our ICP and go to market plan for entering a new market" or "Fix the revenue leak between marketing qualified leads and closed deals." Be outcome oriented.
  • Stack and context: Describe your product, target market, current revenue, maturity stage (startup, scale up, enterprise), and tools in use (CRM, analytics, pricing models). Note any regulated constraints (compliance, privacy, security) that shape the competitive landscape.
  • Team structure: Specify who they report to, which stakeholders they will work with (product, marketing, sales, customer success), cross functional dependencies, and whether they lead internal resources or partner with an external commercial organization.
  • Growth and impact: Make clear how success will be measured: improvement in conversion rates, pipeline generated, reduction in time to close, CAC, NRR. Describe what their contribution means for your business objectives (expansion, scaling, revenue impact), and whether the role could grow into broader GTM leadership.
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How to Find, Vet, and Onboard the Right GTM Consultant

A Rigorous Hiring and Vetting Process

Where to Source GTM Talent

Look beyond standard job boards. The best go to market consultants rarely respond to generic postings. Use networks specialized in revenue operations and GTM consulting communities. Tap referrals from peers who have run successful product launches. Explore vetted talent networks or boutique consulting firms with deep knowledge in SaaS, enterprise tech, or your specific vertical. Consider delivery partners like SoftDoes that provide access to senior GTM talent through a team delivery model rather than isolated freelancers, ensuring continuity and multi disciplinary input.

Vetting Beyond the Resume

A proven track record on paper does not guarantee results. Go deeper with a structured vetting process:

  • Technical screening: Ask for case studies detailing deliverables and outcomes, not marketing collateral. Request examples tied to your industry or similar product maturity. Look for quantitative metrics: pipeline generated, CAC reduction, win rate improvement.
  • Practical real world task: Give them a mini diagnostic of one part of your GTM system, such as a messaging evaluation or channel strategy review, using real or mock data. See how they think, structure their analysis, and quantify findings. This separates operators from theorists.
  • Problem solving interview: Present common GTM breakdowns (wrong ICP, messaging mismatch, sales funnel leak between stages) and ask how they would approach diagnosing and fixing them. The right GTM consultant will ask clarifying questions, reference comparable situations, and outline a clear framework.
  • Culture fit and delivery model: Check whether they can collaborate with your internal teams, take feedback, and align with your pace. Confirm who will deliver week to week: the senior consultant you interviewed, or junior staff. Also verify their experience in regulated industries or managing compliance if relevant to your business.

Consultants analyze competitor landscapes and validate market demand before launches, so test whether your candidates actually do this work or outsource it.

Structured Onboarding: The 30/60/90 Day Setup

Once hired, a structured ramp prevents the most common failure mode: a consultant who spends months "getting context" and never delivers.

  • First 30 days: Deep immersion. The consultant reviews existing data, CRM, pipeline metrics, and conducts interviews with internal stakeholders. They audit current GTM artifacts (pricing, messaging, web presence, sales enablement materials) and deliver an initial diagnostic with quick wins.
  • Days 30 to 60: Draft and begin executing the comprehensive plan. Design the full roadmap and align with leadership on priorities. Execute small, measurable improvements (for example, refining messaging for target customers or fixing a broken handoff between marketing and sales teams) while building the broader go to market plan.
  • Days 60 to 90: Scale execution. Hand off documentation, set up dashboards and decision cadences, ensure knowledge transfer to your existing team, and instill review rhythms. At this point, evaluate whether to scale up the consultant's involvement, transition to a retained model, or bring capacity in house.

Retention depends on giving clarity, demonstrating early wins, and aligning incentives (bonuses or KPIs tied to pipeline, revenue, or yield). The consultant should be embedded as a partner, not treated as a vendor. Go to market consultants align internal resources with market capture efforts, and that alignment starts with how you onboard them.

How to Spot the Right (and Wrong) GTM Consultant

Red Flags and Green Flags When Hiring a Go To Market Consultant

Red Flags that should stop a GTM engagement before it starts:

  • Overpromising results: Any consultant who guarantees specific revenue numbers without examining your data, market dynamics, or current pipeline is selling you a fantasy. A well executed GTM strategy can lead to significant sales increases for new products, but guarantees without context are a warning sign.
  • Generic frameworks and canned decks: If every client gets the same model with no tailoring, you are paying for a template, not tailored strategies built for your business.
  • Weak or anecdotal case studies: No quantitative metrics, no proof of outcomes, just vague claims of "helping companies grow." Demand specifics: what was the target market, what changed, what was the measurable result.
  • Vague delivery plan: If their first 30 or 90 day plan is unclear, or they cannot articulate specific deliverables and handoffs, expect the same vagueness in execution.

Green Flags that signal senior level capability:

  • Deep operator background: Someone who has built a go to market motion themselves, not just advised on one. They have launched products, built sales processes, and owned pipeline metrics. They have a track record, not just a consulting resume.
  • Stage and motion fit: Experience in your specific stage (early, growth, enterprise) and your GTM motion (product led, sales led, channel led). A consultant who scaled direct sales at a Series B SaaS company may not be the right fit for an enterprise entering emerging markets through channel partners.
  • Clear diagnostic framework: They can describe exactly how they audit current state, what aspects they inspect (ICP, messaging, funnel, pricing, competitive landscape), and how they prioritize. GTM consultants provide risk mitigation by anticipating market roadblocks.
  • Metrics orientation: They talk in pipeline metrics, CAC, conversion rates, retention, LTV. They ask for your data before proposing solutions. They show dashboards or scorecards from previous engagements. They provide valuable insights rooted in numbers, not opinions.

Why Partnering with SoftDoes Gives You an Edge

SoftDoes is a North America focused talent delivery partner serving clients across the US and Canada. When you need to hire a go to market consultant, working with SoftDoes solves the problems that make most GTM hiring painful:

  • Carefully vetted senior talent: Every consultant has an operator background. SoftDoes verifies what they shipped, inspects past deliverables and real outcomes, and ensures relevant industry context. Through our IT consulting services, we match GTM specialists whose experience aligns with your product maturity and market.
  • Team delivery model: Instead of isolated freelancers, you get pods with multi disciplinary input across product, marketing, and sales strategy. This means capacity, continuity, and more value from day one.
  • Replacement and scaling guarantees: If a consultant is not the right fit, SoftDoes replaces them. Need to scale up for a product launch or scale down after the initial engagement? The model flexes with you. A no risk trial period allows companies to assess consultant fit.
  • Flexible engagement models: Whether you need a single specialist, a fractional GTM consultant, or a full pod for a comprehensive go to market plan, SoftDoes structures the engagement to match your business objectives. GTM consulting is ideal for companies with unstable outbound motions.
  • Technical depth: SoftDoes specializes in custom software development, AI/ML, cloud, and digital transformation. Your go to market strategy gets built by people who understand product market fit, technical constraints, and the competitive landscape in technology markets, not just generic marketing strategy.

Effective alignment reduces the risk of underestimating market opportunities, and SoftDoes embeds that alignment into every GTM engagement from the matching process through delivery.

Ready to Hire a Go To Market Consultant?

Stop wasting cycles on consultants who leave you with a strategy document and no execution. If you need a go to market consultant with a proven track record, deep knowledge of your market, and the ability to build systems that drive sustainable growth, connect with our talent team to start a conversation. We will scope your needs, present qualified candidates within one to two weeks, and get your GTM engagement moving.

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