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Hire remote Product Coach

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.

Discover More Product Coachs in the SoftDoes NetworkRegister to view more

What our Product Coachs can build

Not sure which engagement model fits?

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

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FIND THE
RIGHT expert, FASTER

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

How to hire a Product Coach

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 Product Coach through SoftDoes?

Most engagements move from initial consultation to coach deployment within one to two weeks. The speed depends on the specificity of your requirements, such as domain expertise in a regulated industry, but our pre vetted talent network eliminates the months long recruiting cycle you would face with traditional hiring. We scope your needs, match candidates from our network, and facilitate interviews so you can move quickly without sacrificing quality.

What does it cost to hire a Product Coach?

Product coaching costs vary based on seniority, engagement model, and scope. Full time senior product coaches in North America typically earn between $140,000 and $180,000 or more annually. Independent or fractional coaches charge higher effective rates on a per hour or per project basis; total compensation for top tier coaches can reach $198,000. Across the broader market, product coaching costs range from $69 to $25,000 per quarter depending on format and depth. MentorCruise's subscription model, for example, starts at $120 per month for lighter weight mentoring. SoftDoes works with you to find an engagement structure that fits your budget and delivers the business impact you need. 86% of companies report recouping their coaching investment, and the median ROI from coaching investments is 700%.

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

SoftDoes offers several models. A dedicated hire embeds a full time product management coach in your product organization. A fractional or contract engagement brings a senior coach in for a few days per week or month, ideal for earlier stage companies or teams addressing a specific challenge. The pod model combines a senior product coach with specialist support in areas like user research and shaping product strategy, suited for complex transformation initiatives. You can also structure periodic workshop or cohort formats combined with ongoing coaching follow ups. Each model is designed around your growth stage, business strategy, and the scale of capability building you need.

How do you ensure time zone alignment with a Product Coach?

SoftDoes focuses on North America based talent, which means your coach operates within US and Canadian time zones by default. For distributed teams spanning multiple regions, we match coaches who have direct experience working across time zones, ensuring real time collaboration during core working hours and async support outside them. Time zone alignment is part of the matching criteria, not an afterthought.

How does SoftDoes technically vet a Product Coach?

Every candidate goes through a multi stage vetting process. First, we verify hands on product management experience and coaching track record, including specific outcomes they drove at other organizations. Second, we run a real world task assessment: the candidate receives a mock product challenge and we evaluate their diagnostic approach, questioning technique, and coaching recommendations. Third, we conduct an analytical interview to test strategic thinking and trade off reasoning. Finally, we assess stakeholder orientation and culture fit through scenario based questions covering difficult conversations, cross functional collaboration, and leadership influence. We also check references from people who were actually coached, not just executives who approved the engagement. Establish clear success metrics for coaching engagements upfront, and we help you define those before the coach starts.

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

SoftDoes provides replacement guarantees. If the coaching relationship isn't producing the outcomes you expected, we handle the transition and match you with a different coach from our network without restarting a full hiring process. Scaling is equally straightforward: if your needs grow, we can add coaches or specialists to form a full product coaching pod. If your needs decrease, you can step down to a lighter engagement model. No long term lock in, no penalties for adjusting scope as your business evolves.

How to Hire a Product Coach

Most companies looking for a product coach end up cycling through unqualified candidates, overpaying consultancies that send junior staff, or hiring someone whose coaching style clashes with their product organization. This guide walks you through what a product coach actually does, how to scope your needs, where to find and vet candidates, and how to onboard for measurable outcomes. By the end, you'll know how to make a hiring decision that strengthens your product teams instead of draining your budget.

What a Product Coach Does and Why the Role Is a Business Priority

What a Product Management Coach Actually Does Day to Day

A product coach is a senior practitioner whose job is not to own a product roadmap or ship features. The role exists to raise the capability of product managers, product leaders, and cross functional partners so they make better product decisions, consistently. Unlike an agile coach who centers on process and ceremonies, a product coach focuses on how product people think, discover, validate, and decide.

Most product coaches operate across several concrete tasks:

  • Coaching individual product managers through real work: backlog prioritization, effective product discovery, experimentation design, and stakeholder management. This is one on one work, rooted in the PM's actual challenges, not generic training.
  • Running workshops for product teams on topics like product strategy alignment, OKR setting, customer research methods, or shifting from output to outcome thinking. These sessions target specific gaps rather than abstract theory.
  • Diagnosing maturity gaps using skills matrices, discovery audits, or data reviews to assess where the team stands and where it needs to go. The coach then builds a growth roadmap for individuals or the broader product organization.
  • Embedding in planning and decision cycles such as roadmap planning, sprint planning, and cross functional reviews to deliver coaching in real time while teams work, not as a separate classroom exercise.
  • Improving cross functional collaboration between product, engineering, design, and executive leadership. In regulated industries (healthcare, fintech, energy), this includes navigating compliance and risk constraints.
  • Instilling discovery and validation discipline so teams validate customer needs before building features. This means customer interviews, usability testing, hypothesis testing, and evidence based decisions rather than opinion driven roadmaps.

A coach should have real world product management experience. Effective product coaches typically bring 7+ years in hands on product roles across multiple companies or scale ups. Beyond that, they need strong facilitation and communication skills, business acumen, and the adaptability to shift between coaching, consulting, and teaching depending on what the team needs. Many product coaches pursue formal coaching certifications like ICF to sharpen their questioning and feedback frameworks.

Why Hiring the Right Product Coach Is a Strategic Priority

The difference between a skilled coach and a poor hire shows up in concrete business outcomes, not just team satisfaction surveys. Here's what strong product coaching delivers:

  • Faster time to market. Better discovery and alignment eliminate rework. One medical device manufacturer reduced cycle time by roughly 25% and accelerated time to market by about 15% after a product coaching engagement.
  • Lower development costs. Sharper prioritization reduces waste; platform reuse increased 30% in that same engagement. Teams stop overengineering features nobody asked for.
  • Higher product quality and customer satisfaction. Coaching that improves discovery and validation leads to products that actually meet user needs. In the same case study, customer satisfaction scores rose 18 points.
  • Scalable internal capability and retention. Coaching builds long term internal capabilities within teams. PMs who receive coaching go on to mentor others, reducing your dependence on a few senior leaders and lowering turnover across the product organization.

86% of companies report positive returns from coaching investments. Product coaching generates a median ROI of 700%, which explains why growth stage companies and enterprises alike treat this as a strategic line item, not a discretionary perk.

How to Prepare Before You Start Hiring

Scoping Your Needs Before Opening a Role

Hiring without internal clarity wastes time on both sides. Before you post a role or contact a talent network, answer three questions.

Project Scope and Requirements

Define the problem you need solved. Is the coach expected to raise general product discipline across multiple business lines? Or are you targeting a specific challenge like weak discovery practices, poor stakeholder management, or teams stuck in a feature factory cycle?

Assess company maturity and goals before hiring a coach. Map your current state: how often do launches miss the mark, how frequently do teams skip customer validation, what does your product roadmap process look like, and where does stakeholder misalignment create drag? Define specific team gaps to identify coaching needs.

Team Structure and Engagement Model

Decide who the coach will work with. Will they coach individual product managers only, or also engage directly with engineering, design, and executive leadership? Consider whether the person needs to understand specific team dynamics like a platform and product split, or multi geography coordination.

Also decide on the engagement model: embedded full time, part time (two to three days per week), episodic workshops, or rotating across teams. For regulated industries, verify the potential coach understands compliance, audit, and data privacy constraints relevant to your domain.

In House vs. Dedicated Remote Talent

An in house coach (full time employee) gets closer to your business context and culture, iterates faster, and builds deeper relationships. The trade off is higher cost and overhead.

A dedicated remote specialist, brought in through a vetted talent partner, offers easier scaling across geographies and lower fixed cost. The risk is weaker domain context if onboarding is rushed. For many companies, a fractional or contract model delivers senior level capability without the commitment of a permanent headcount.

Writing a Job Description That Attracts the Right Candidates

The vast majority of product coach job descriptions are too vague to attract senior talent. A standout posting covers four elements:

  • Mission. State the problem the coach will solve. "Raise product discovery maturity to cut time from idea to validated prototype by half" is specific. "Help our teams do product better" is not.
  • Stack and context. Describe your products (SaaS, AI/ML, embedded hardware), your tech stack, your domain (fintech, healthcare, cloud infrastructure), and any regulatory constraints (HIPAA, SOC2). Include whether the role is remote, hybrid, or on site.
  • Team structure. Specify who the coach reports to (VP of Product, CPO, CTO), which teams they coach, the number of PMs, and the cross functional partners they'll work with.
  • Growth and impact. Define what success looks like using measurable outcomes: specific metrics to improve, sample outcomes from similar roles, and whether the coach can grow into product leadership or help build an internal coaching culture.

Include required qualifications (years in a product role, sample engagements), soft skills (facilitation, difficult conversations, strategic thinking), and any domain expertise or certifications.

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How to Source, Vet, and Onboard a Product Coach

Hiring and Vetting: Going Beyond Credentials

Sourcing Strategy

You have three main sourcing paths, each with distinct trade offs.

Senior product networks and communities. Product management conferences, leadership groups, and referral networks surface candidates with relevant experience. The process is slow but tends to yield high quality matches.

Vetted talent partners. Specialty firms that focus on product management and product leadership coaching pre screen candidates for technical depth, coaching ability, and domain relevance. This approach trades some control for speed and quality assurance.

Internal referrals. Ask leaders at other organizations who have run product coaching engagements. Referrals from people who were actually coached carry more weight than LinkedIn endorsements.

Evaluate each path on speed vs. quality, cost vs. domain relevance, and whether you need a fixed hire or a fractional engagement.

Vetting Beyond the Resume

Coaches should provide evidence of client outcomes, not just credentials. Rigorous vetting prevents you from hiring someone who talks a good game but can't deliver results.

  • Technical screening. Ask for concrete past scenarios: times they improved discovery practices, shifted a team from outputs to outcomes, or resolved product strategy misalignment. A genuine desire to help others is important, but it must be paired with demonstrated impact.
  • Real world task. Give the candidate a mock problem drawn from your actual product context. Evaluate how they diagnose the situation, what questions they ask, and what coaching approach they recommend. This reveals whether their style is adaptive or formulaic.
  • Analytical interview. Test the candidate's ability to think through trade offs: regulatory constraints vs. speed of innovation, reliability vs. feature velocity, short term wins vs. long term capability building. Successful product coaches have navigated similar challenges as their clients.
  • Culture fit and stakeholder orientation. Can this person push back to leadership when needed? Can they handle feedback loops, navigate team dynamics, and work cross functionally without creating friction? Chemistry checks can help ensure effective communication with your potential coach. Cultural fit and emotional intelligence are essential for effective coaching. Trial conversations can assess a coach's listening and questioning skills.

Request case studies and references to validate a coach's efficacy. Speak specifically with people who were coached, not just hiring managers.

Ramping Up Without Friction: The 30/60/90 Day Framework

A small pilot program can help evaluate the fit of a coach before a full commitment. Here's a practical ramp up structure:

Days 1 through 30: Immersion. The coach learns your product context, customers, metrics, tools, and team topology. Hold a kickoff with leadership to align on coaching goals and specific outcomes. This phase is about listening, not prescribing.

Days 31 through 60: First coaching engagements. The coach begins one on one sessions, runs initial workshops, and implements diagnostic assessments (skills matrices, discovery audits, stakeholder mapping). Early patterns emerge around where the product organization needs the most support.

Days 61 through 90: Early wins and calibration. The coach demonstrates measurable outcomes from initial engagements. Frameworks and templates are in place. Feedback from coachees is collected and the approach is adjusted. Sustainable coaching rhythms are defined for the months ahead.

Retention depends on alignment of expectations, recognition of impact, and career growth paths. A great coach who feels sidelined or undervalued will leave. Regular feedback loops between the coach, leadership, and coachees prevent the coaching relationship from drifting.

How to Evaluate Candidates and Choose the Right Partner

Warning Signs and Positive Indicators During the Hiring Process

Red flags to watch for:

  • Vague outcomes. The candidate cannot articulate what measurable changes they drove. If they can't cite specifics like reduced cycle time, improved retention, or fewer failed launches, their impact is likely thin.
  • One size fits all methodology. They pitch the same framework regardless of your company, domain, or growth stage. It is important to evaluate the coach's ability to adapt their approach to the team, and a rigid method signals they won't.
  • Buzzword reliance without substance. Heavy use of terms like "product thinking" and "outcome orientation" without connecting them to real engagement stories. Effective product coaches adapt their approach to client needs; ask for proof.
  • Weak stakeholder orientation. They avoid or fumble questions about influencing executives, handling conflict, or navigating difficult conversations with leadership. Coaches should challenge existing processes rather than just validate them.

Green flags that indicate a strong candidate:

  • Deep product experience plus coaching track record. The best product coaches have 7+ years of experience across multiple product led teams, combined with a clear history of developing others. Coaches should have relevant product experience to be effective.
  • Clear methodology they can walk you through. They outline how they coach, what tools and templates they use, how they measure progress, and how they tailor the approach by context. Individual coaching clients report 80% improved self confidence, but look for organizational impact alongside personal development metrics.
  • Strong facilitation and communication discipline. They demonstrate the ability to run workshops, align stakeholders, and translate between technical, design, and business contexts.
  • Resilience and self awareness. They share examples of past failure, what they learned, and how they course corrected. A great coach is honest about what didn't work, not just what did.

Why SoftDoes Gives You an Edge in Hiring Product Coaches

SoftDoes is a North America focused talent delivery partner that connects companies with carefully vetted senior product coaches through a team delivery model, not isolated freelancers. When you hire product launch strategists or product coaches through SoftDoes, you get:

  • Pre vetted senior talent. Every coach in our network has been screened for hands on product management experience, coaching ability, and domain relevance. We don't send resumes and hope for the best.
  • Flexible engagement models. Choose a dedicated hire, a fractional coach (a few days per week or month), or a full product coaching pod that combines a senior coach with specialists in user research and product strategy. Scale up or down as your needs change.
  • Replacement and scaling guarantees. If the fit isn't right, we handle the replacement. No long hiring cycles, no sunk costs.
  • Industry specific expertise. Our talent network includes coaches with direct experience in fintech, healthcare, e commerce, and regulated sectors, so your coach understands not just product leadership coaching but the domain constraints that shape your product decisions.

Coaching styles can vary from hands on mentoring to advisory frameworks. SoftDoes matches the right style and seniority to your specific situation.

Ready to Hire a Product Coach?

Stop guessing and start building the product capability your organization needs. Whether you're looking for discovery coaching to help teams find product market fit, transformation coaching to shift your company toward a product led model, or leadership coaching for product leaders stepping into strategic roles, SoftDoes can match you with a coach who fits your business goals and team culture.

Schedule a consultation to scope your needs, review matched candidates, and start an engagement within weeks.

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