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Hire remote Director Of Product

Discover developers that match your project requirements.

No exact match for this specialty yet — here are related experts from our network.

Aditya P.
Available Now
Verified in SoftDoesAditya P.
DevOps Engineer/ Site Reliability Engineer
US 🇺🇸English (B2)Senior
GoPythonUNIX Shell ScriptingPHP

Principal DevOps / Site Reliability Engineer with 14+ years of software engineering experience (including freelance development) and 9+ years of professional DevOps/SRE experience. Expert in designing and automating scalable cloud infrastructure across AWS, GCP, Azure, a company Cloud, with deep expertise in Kubernetes, Docker, OpenShift, Terraform, Ansible, GitOps (ArgoCD/FluxCD), CI/CD, Go, and Python. Experienced in building multi-cloud, high-availability platforms, infrastructure automation, cloud migrations, and developer platforms. Currently working as Principal Engineer at FOX, previously held senior engineering roles at Hippo Insurance, a company, and Morgan Stanley.

Aditya P.
Available Now
Aditya P.Verified in SoftDoes
DevOps Engineer/ Site Reliability Engineer
US 🇺🇸English (B2)Senior
GoPythonUNIX Shell ScriptingPHP

Principal DevOps / Site Reliability Engineer with 14+ years of software engineering experience (including freelance development) and 9+ years of professional DevOps/SRE experience. Expert in designing and automating scalable cloud infrastructure across AWS, GCP, Azure, a company Cloud, with deep expertise in Kubernetes, Docker, OpenShift, Terraform, Ansible, GitOps (ArgoCD/FluxCD), CI/CD, Go, and Python. Experienced in building multi-cloud, high-availability platforms, infrastructure automation, cloud migrations, and developer platforms. Currently working as Principal Engineer at FOX, previously held senior engineering roles at Hippo Insurance, a company, and Morgan Stanley.

Aditya P.
Available Now
Aditya P.Verified in SoftDoes
DevOps Engineer/ Site Reliability Engineer
US 🇺🇸English (B2)Senior
GoPythonUNIX Shell ScriptingPHP

Principal DevOps / Site Reliability Engineer with 14+ years of software engineering experience (including freelance development) and 9+ years of professional DevOps/SRE experience. Expert in designing and automating scalable cloud infrastructure across AWS, GCP, Azure, a company Cloud, with deep expertise in Kubernetes, Docker, OpenShift, Terraform, Ansible, GitOps (ArgoCD/FluxCD), CI/CD, Go, and Python. Experienced in building multi-cloud, high-availability platforms, infrastructure automation, cloud migrations, and developer platforms. Currently working as Principal Engineer at FOX, previously held senior engineering roles at Hippo Insurance, a company, and Morgan Stanley.

Andrea M.
Available Now
Verified in SoftDoesAndrea M.
AI Solutions Architect/Engineer
IT 🇮🇹English (C1)Senior
PythonLangChainLangGraphGoogle Cloud

I am a solutions architect and engineer with 5+ years of experience in designing and implementing cloud-based AI solutions. Solid skills across applied AI, software engineering, cloud architecture and DevOps practices, built on years of field experience, allow me to drive AI initiatives from concept to production, leveraging AI tools to boost delivery speed without compromising on deliverable quality.

Andrea M.
Available Now
Andrea M.Verified in SoftDoes
AI Solutions Architect/Engineer
IT 🇮🇹English (C1)Senior
PythonLangChainLangGraphGoogle Cloud

I am a solutions architect and engineer with 5+ years of experience in designing and implementing cloud-based AI solutions. Solid skills across applied AI, software engineering, cloud architecture and DevOps practices, built on years of field experience, allow me to drive AI initiatives from concept to production, leveraging AI tools to boost delivery speed without compromising on deliverable quality.

Andrea M.
Available Now
Andrea M.Verified in SoftDoes
AI Solutions Architect/Engineer
IT 🇮🇹English (C1)Senior
PythonLangChainLangGraphGoogle Cloud

I am a solutions architect and engineer with 5+ years of experience in designing and implementing cloud-based AI solutions. Solid skills across applied AI, software engineering, cloud architecture and DevOps practices, built on years of field experience, allow me to drive AI initiatives from concept to production, leveraging AI tools to boost delivery speed without compromising on deliverable quality.

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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What our Director Of Products can build

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How to hire a Director Of Product

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 Director Of Product through SoftDoes?

The industry average for hiring a director of product management is about 59 days. Specialized roles in AI, compliance, or regulated industries can stretch that to 10 to 16 weeks. SoftDoes reduces this timeline by maintaining a pre vetted network of senior product leadership candidates, streamlining the job description and sourcing phases, and running parallel evaluation tracks. Clients have built full product teams in as few as 21 days across multiple strategic roles, with cost savings of up to 62% compared to traditional executive search.

What does it cost to hire a Director Of Product?

Base salary ranges for directors of product in the United States fall between $200,000 and $250,000. The average salary for remote directors of product management is $202,068. Total compensation including bonus and equity often reaches $300,000 to $600,000 at growth stage or public companies, depending on domain specialization (AI, fintech, e commerce) and geography. Recruiting or agency fees sit on top of that. For dedicated remote hires through a partner like SoftDoes, cost structures shift between base, equity, and management overhead, often resulting in lower total cost of hire while maintaining access to top tier talent.

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

Three primary models exist. A dedicated hire is a full time employee or long term contractor who integrates into your organization. A pod model pairs a director with supporting product managers, UX designers, or engineers as a cohesive unit. A contract or interim engagement works for transformation projects, leadership transitions, or when you want to evaluate fit before committing. SoftDoes offers all three, with the flexibility to transition between them as your business needs evolve.

How do you ensure time zone alignment with a Director Of Product?

Every engagement begins with defining required overlapping work hours based on your team's location across the US and Canada. SoftDoes sources candidates with experience managing remote or distributed product teams, ensuring they understand async communication tools and rhythms. Clear communication cadences, stakeholder check ins, and documented decision making processes are established during onboarding so that time zone differences do not slow down product decisions.

How does SoftDoes technically vet a Director Of Product?

Vetting includes a deep interview focused on metrics driven product outcomes and domain experience, a hands on task that simulates your company's product challenges (roadmap prioritization, discovery process, or architecture tradeoff analysis), a technical assessment covering platform constraints and security or compliance requirements, and reference checks focused on leadership, delivery, and cross functional alignment. Culture fit interviews round out the process, ensuring the candidate's leadership style matches your organization's values and operating model.

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

SoftDoes provides replacement guarantees. If the director is not performing or the fit is wrong, you can replace them without restarting the search from scratch. You can also scale your engagement up (adding PMs or designers to form a pod) or down (moving to fractional leadership or pausing the engagement). Performance tracking starts early in the onboarding period to catch misalignment before costs mount, giving you the flexibility to adjust without long term risk.

How to Hire a Director Of Product

Most companies spend roughly 59 days trying to fill a director of product role, burning through recruiting fees, lost momentum, and misaligned candidates before landing someone who may not even stick. The right hire accelerates your product development process, aligns your product vision with company goals, and builds the team that delivers measurable growth. This guide walks you through defining the role, preparing your organization, running a rigorous hiring process, and making a decision you can stand behind.

What a Director Of Product Does and Why the Role Exists

The Work Behind the Title

A director of product is a senior leadership role that bridges company strategy and day to day product execution. This person oversees the entire product lifecycle from ideation to launch, creates long term roadmaps for product development, manages budgets, and reports to executive leadership about product goals. In regulated sectors like healthcare, finance, or cloud infrastructure, the director must also embed compliance, security, and reliability considerations into every decision.

The role requires a deep understanding of both the market and the technology. A strong product leader does not code daily but understands engineering constraints, API design, and scalability tradeoffs well enough to make sound prioritization calls.

Core daily responsibilities and skills include:

  • Product strategy and roadmapping: Define where to invest across multiple quarters, balancing new features, platform work, technical debt, and market opportunity. Directors of product create long term roadmaps that connect customer needs to business outcomes.
  • Metrics and data driven prioritization: Own adoption, retention, net revenue retention, and activation metrics. Establish KPIs and run experiments (A/B tests, cohort analyses) to guide decisions. Data analysis is a key skill for product directors, and data driven decision making involves establishing KPIs and metrics to track performance.
  • Cross functional leadership: Collaboration with engineering, design, marketing, and sales is essential. A director must influence cross functional teams without direct authority, aligning roadmaps, launches, and regulatory requirements across internal teams.
  • People management and mentorship: Hire and develop product managers, build career paths, and run performance systems. Leadership and mentorship are key responsibilities of a director of product. The director of product creates an environment for teams to succeed and solve problems.
  • Go to market and monetization: Shape pricing, packaging, trials, and partner with sales and marketing to ensure the product enables revenue targets and customer adoption.
  • Operational delivery discipline: Maintain launch readiness, define requirements (PRDs, user stories, acceptance criteria), and manage dependencies including nonfunctional requirements like security verification, scalability, and system reliability.

The director of product management role typically requires 8 to 12+ years of experience in product management, strong communication skills, and the ability to lead diverse teams through ambiguity.

Why Getting This Hire Right Shapes Your Business Trajectory

A single director of product touches revenue, retention, team velocity, and system stability. Getting this hire wrong costs far more than the recruiting fee.

  • Faster time to market: A strong product executive enforces discovery discipline and backlog prioritization that reduces cycle times. Product teams ship the right things sooner because the roadmap reflects real customer needs, not internal politics.
  • Cost reduction and risk mitigation: By directing investment between new features, platform improvements, and tech debt, the director prevents overbuilding and reduces rework. Managing budgets for product development is a core part of the role.
  • Scalable growth and retention: Well led teams stay aligned. Customer retention improves through better product market fit, which directly lifts metrics like net revenue retention and ARR.
  • System reliability and compliance: In regulated industries or where uptime and security matter, a product director ensures nonfunctional requirements get priority alongside features, including performing security verification and coordinating with security service teams.

Salaries for directors of product management range from $200,000 to $250,000 in base compensation. The average salary for remote directors of product management is $202,068. Total compensation including equity and bonus can reach $400,000 to $600,000 at growth stage or public companies, depending on specialization (AI, fintech, e commerce) and location. Being adaptable to company stage is important for a director's success; what works at a 50 person startup differs from what a 5,000 person technology company requires.

Preparing Your Organization Before You Start Hiring

What to Define Before You Open the Role

Skipping internal alignment before posting a job description is the fastest way to waste 59 days and end up with the wrong hire. Before you source a single candidate, answer three questions.

Project Scope and Requirements

Determine whether the director will own a single product, multiple product lines, or an entire vertical. The scope changes the experience profile: owning a core workflow product is different from leading platform and API strategy or running a next generation AI/ML initiative. Clarify whether the product is zero to one (new build), scaling an existing product, modernizing legacy systems, or integrating new technology. Directors of product oversee the product development life cycle, so the lifecycle stage of your product dictates the type of leader you need.

Team Structure and Engagement Model

Define the existing PM structure. Will product managers report directly to this director, or through group PMs? What is the ratio of PMs per director? Clarify relationships with design teams, engineering, data, operations, marketing, and legal. In regulated industries, the director needs to coordinate closely with compliance and security functions. Also decide on location requirements: remote, hybrid, or colocated. Time zone overlap and async leadership behavior matter for team dynamics, especially across distributed organizations.

In House vs. Dedicated Remote Talent

Hiring in house brings deeper cultural integration but takes longer and costs more in recruiting and ramp up. A dedicated remote hire through a talent delivery partner gives access to wider senior talent pools, often with faster fill times and lower total cost. For scaled firms or regulated sectors, an embedded senior director (remote or on site) paired with a supporting team can deliver outcomes faster. There are currently 837 remote director of product management positions available, which reflects strong market demand for this engagement type.

Writing a Job Description That Attracts the Right Candidates

Most job descriptions for director of product roles read like a copy paste of generic requirements. Qualified applicants scroll past them. A standout job description covers four elements:

  • Mission statement: What impact must the director make in the first 6 to 12 months? Example: "Own the roadmap for customer retention improvements" or "Lead platform modernization for compliance and scalability." The role bridges company strategy and day to day product execution; your job description should reflect that bridge.
  • Stack and context: Technologies, domain area (AI/ML, cloud, platform APIs, regulated data), product maturity, existing team size, delivery model (agile, continuous delivery). Directors of product typically hold a bachelor's degree in computer science or a related field; an advanced degree such as an MBA can enhance understanding of product management and business administration. State your specific requirements clearly.
  • Team structure: Number of direct reports (PMs, group PMs), cross functional partners, reporting line (to VP Product, chief product officer, or CTO), and whether this role includes P&L or go to market responsibilities.
  • Growth and impact: What is the stretch? What scale, revenue expectation, or user base will this person influence? What metrics will you evaluate them on (ARR growth, retention uplift, time to market, defect rate reduction)? Top skills include product management and team leadership; make sure your description reflects the skills you actually need.

Consider setting up job alerts on relevant platforms to monitor how competitors position similar roles in your market.

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How to Source, Evaluate, and Onboard a Director Of Product

Running a Rigorous Hiring and Vetting Process

Sourcing Strategy

Two sourcing channels matter for senior product leadership:

  • Outbound recruiting: Target known senior directors of product at peer companies via networks, LinkedIn, and referrals. Conducting market research on compensation, title conventions, and competitor org charts helps you position your opportunity. User research on what product leaders value in their next role (autonomy, mission, team quality) strengthens your pitch.
  • Vetted talent networks: Partners who maintain pools of pre screened senior product leadership candidates can deliver qualified candidates faster. In niche domains (AI/ML, healthcare, finance), specialized networks are often the only way to reach passive candidates with the right product management experience. SoftDoes maintains a curated network of senior product talent with domain experience across these verticals.

Senior directors of product management typically have 5 to 9 years of experience in senior roles, often with 10+ years of total product management experience. Most directors of product hold a bachelor's degree from an accredited university.

Vetting Beyond the Resume

Resume screening filters out obvious mismatches. The real evaluation happens in four layers:

  • Technical screening: Not a coding test; assess the candidate's ability to evaluate architecture tradeoffs, platform and scale decisions, and security and regulatory constraints. Technical skills matter, but the focus is on judgment, not implementation.
  • Practical real world task: Present a current roadmap conflict or backlog prioritization challenge from your business. Ask the candidate to walk through their approach, including how they would conduct discovery, what data they would need, and how they would communicate tradeoffs to stakeholders. This tests problem solving and product design thinking simultaneously.
  • Analytical interview: Ask how they defined and tracked KPIs in previous roles. What experiments did they run? How did metrics shift with product changes? Strong communication skills are essential for directors of product; this interview reveals whether they can articulate cause and effect clearly.
  • Culture fit: Senior leaders set the tone for entire organizations. Look for evidence of coaching, influence without authority, stakeholder negotiation, and integrity. A director of product needs to work closely with engineering, design teams, sales, and customers; ask for specific examples.

Setting Up for Success in the First 90 Days

The first 90 days determine whether your hire accelerates or stalls. Structure onboarding in three phases:

Days 1 through 30: Immerse the new director in company strategy, existing product portfolio, user base, and metrics history. Introduce them to cross functional leaders across engineering, design, marketing, and sales. Define one or two immediate high impact projects and set clear success criteria for ramping. The director of product aligns the product vision with company goals; this phase is where that alignment starts.

Days 30 through 60: The director begins owning the roadmap and starts discovery cycles. They make their first product decisions, establish regular operating rhythms (roadmap reviews, OKRs, performance dashboards), and provide feedback on existing processes. This is also when they begin evaluating the strengths of their product teams and identifying gaps.

Days 60 through 90: Full accountability for product outcomes. The director delivers a first iteration release, integrates feedback loops, and builds out any missing product processes (discovery frameworks, launch governance, post mortems). By this point, they should have led teams through at least one planning cycle and demonstrated their leadership style.

Retention starts on day one. Provide clarity on growth paths (to VP Product or head of multiple product domains). Give appropriate autonomy while supporting with resources. Tie compensation to meaningful metrics. Ensure ongoing alignment on mission, product vision, and prioritization. Top companies retain product leadership by treating the role as a long term investment, not a short term fix.

Evaluating Candidates and Choosing the Right Partner

What to Watch For (and What to Look For) in Interviews

Red flags:

  • The candidate cannot describe concrete outcomes tied to metrics. If they talk about "driving product strategy" but cannot point to retention rate changes, time to value improvements, or ARR growth, that is a warning.
  • No involvement in platform decisions, scaling architectures, integrations, or nonfunctional constraints like security, compliance, or scalability. A product executive who has never engaged with technical constraints will struggle in any technology company.
  • Difficulty explaining how they influenced or aligned engineering, design, sales, or legal. Cross functional leadership is the core of the role; vague answers here suggest the candidate operated in a silo.
  • No record of mentoring or growing employees. If they have never built a PM team, coached a product manager through a difficult transition, or created career development frameworks, they may not be ready for this level.

Green flags:

  • Clear before and after metrics showing measurable product impact. The best candidates bring specifics: "Retention increased from X to Y after we rebuilt onboarding" or "Time to first value dropped by Z days."
  • Experience with the domain challenges that matter to your business: regulated data, AI/ML product development, cloud migration, or legacy system modernization. Being adaptable to company stage shows up in candidates who have succeeded across different organizational contexts.
  • Systems thinking: managing tradeoffs between discovery and delivery, balancing debt against new features, navigating platform versus product roadmap tensions.
  • A leadership style that earns trust: mentorship, decisiveness under ambiguity, a feedback culture, and strong executive presence. Ask their references specifically about how they led teams through conflict or ambiguity.

How SoftDoes Accelerates Your Search

Finding, vetting, and retaining a director of product is a resource intensive process. SoftDoes is a North America focused talent delivery partner serving clients across the US and Canada, built to remove the friction from that process.

  • Vetted senior product leadership talent: Not freelancers or generalists. Every candidate in our talent network has domain experience in areas like AI/ML, cloud, compliance, or enterprise scale ups, with verified track records in product management.
  • Team delivery model: A director hired through SoftDoes comes embedded or supported by peers (design, engineering) enabling faster onboarding and reducing the risk of isolated leadership.
  • Replacement and scaling guarantees: If the fit is not right, you have options. Scale down from a full pod to a single director, bring in a freelance director for a transition period, or replace the hire entirely.
  • Flexible engagement models: Dedicated hire, product pod (director plus PM plus UX), or contract engagement for transformation projects. This lets you evaluate fit before making a long term commitment.

Ready to Hire a Director Of Product?

If you are building or rebuilding your product leadership and want access to pre vetted senior talent without the 59 day average hiring timeline, start with a discovery call. We will assess your specific requirements, team dynamics, and product challenges, then match you with candidates who fit.

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