Hire Program Managers Backed by a U.S. Delivery Team

Looking to hire a Program Manager? Our Program Managers bring senior-level expertise, backed by a U.S. delivery team.

HIRE NOW
  • 100+

    Fully Vetted Developers

  • 24h

    Average Matching Time

  • 300

    Project Delivered

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

Hire remote Program Manager

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 Program Managers in the SoftDoes NetworkRegister to view more

What our Program Managers can build

Not sure which engagement model fits?

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

Explore Services

FIND THE
RIGHT expert, FASTER

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

How to hire a Program Manager

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 Program Manager through SoftDoes?

Hiring a senior cross functional program manager with 8 to 12 or more years of experience through traditional channels typically takes 60 to 90 days, and often longer when domain or regulatory experience is required. With SoftDoes using pre vetted talent networks and a clearly defined role specification, that timeline compresses to 30 to 45 days for more common profiles. More complex regulatory or domain specific roles may still require 45 to 60 days, but the process starts faster because the engineering context and evaluation pipeline are already in place. The goal is to apply AI productivity tools and automation driven efficiency gains wherever possible to accelerate matching without sacrificing quality.

What does it cost to hire a Program Manager?

Compensation varies significantly by market and seniority. Program managers in Seattle earn between 93K and 346K annually, while senior program managers in Seattle can earn up to 304K annually. Los Angeles program manager salaries range from 70K to 346K annually. Program managers in Boston have salaries from 104K to 156K annually. Houston program manager salaries range from 70K to 160K annually. Beyond base salary, factor in benefits, overhead, equipment, and equity or bonuses, which typically add 20% to 40% on top. Contract or agency partnered models may cost more per hour fully loaded, but pay back in reduced ramp up time, fewer misaligned hires, and built in delivery oversight. Executive reporting on total cost of engagement versus value delivered should be part of any engagement review.

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

Three primary models apply depending on your needs. A dedicated hire is full time and embedded in your organization, owning the program end to end with high investment and long term commitment. A pod or fractional model shares a program manager across a pod of cross functional teams or multiple programs, which works well when demand is growing but not yet steady. A contract or consulting engagement is especially useful for short term programs like migrations, launches, or large integrations. Each model trades off cost, control, continuity, and risk. SoftDoes presents these options transparently and ensures roles are properly scoped in each model so you get the right level of program management for your current stage.

How do you ensure time zone alignment with a Program Manager?

Define expected overlap hours in the role specification from the start. For remote or distributed program managers, ensure there is at least 3 to 4 hours of overlapping workday with major stakeholders. If clients are in the US or Canada, hiring someone in neighboring time zones or with enough overlapping East and West coast hours is standard practice. Asynchronous communication norms, clear written artifacts, executive ready status narratives, and structured meeting cadences compensate for gaps. SoftDoes surfaces each candidate's timezone availability early in the evaluation process to prevent alignment issues before they start.

How does SoftDoes technically vet a Program Manager?

The vetting process is multi layered. It starts with initial screening of experience, domain exposure, and regulatory background. Then a peer or architect interview focuses on system design, trade offs, and real world scenario problem solving. Candidates complete a scenario based task such as mock planning or dependency mapping under constraints. A communication and stakeholder simulation evaluates how they handle pressure, frame risk, and communicate outcomes to both executive and technical stakeholders. Reference checks focus specifically on risk exposure, failures, dependency management, and throughput versus output. Because SoftDoes operates as an engineering partner, PM candidates interact directly with senior engineers and architects during vetting to ensure they understand real technical constraints and delivery expectations. Program managers lead cross functional teams in agile environments and they manage dependencies, risks, and resources for agile projects, and the vetting process is designed to prove they can do exactly that.

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

SoftDoes offers a zero risk replacement guarantee, so if a placement is not the right fit, you get a replacement rather than absorbing the cost of a failed hire. Beyond that, phased engagements (start small or pilot), contract to hire, and short term consultancy models all provide flexibility. Scaling up or down is managed through SoftDoes' talent networks and flexible resourcing models. Regular reviews, monthly or quarterly, of performance, customer success metrics, feedback, and alignment on adoption outcomes permit early detection of fit issues and allow you to pivot without waiting for an end of year post mortem. Program managers who communicate outcomes and measure program effectiveness against defined KPIs give you the data you need to make scaling decisions with confidence.

The Executive Guide to Hiring a Program Manager

A bad program management hire is one of the most expensive invisible failures in enterprise engineering. Missed delivery dates, unmanaged cross team dependencies, creeping technical debt, and lost stakeholder confidence compound silently until the damage is irreversible. The right senior program manager, on the other hand, unlocks velocity, reduces risk, and converts strategy into measurable outcomes. This playbook gives you a field tested strategy to define, vet, and onboard top tier Program Manager talent, built from lessons learned across hundreds of engineering engagements.

What Actually Separates a Senior Program Manager from an Expensive Order Taker

The True Scope: Operational Realities That Define Elite Talent

Most job descriptions for program manager jobs read like a checklist of tools and certifications. That tells you nothing about whether someone can actually run a complex engineering program. What separates senior program manager talent from order takers is how they operate under real conditions, every single day. Look for these advanced capabilities:

  • Full ownership over cross team dependencies. They proactively identify, map, and manage both technical and nontechnical dependencies across products, platforms, legacy systems, and external vendors. Not just tracking in a spreadsheet, but preventing surprises before they derail a release. An Agile Program Manager manages cross team dependencies and tracks program wide risks as a core function, not an afterthought.
  • Strategic architecture literacy. They understand system flows, APIs, data pipelines, cloud infrastructure trade offs, and security or compliance implications well enough to partner with architects on technical readiness gates. They are not writing code, but they can challenge an engineer on a migration plan without losing credibility.
  • Trade off management under ambiguity. When scope shifts, resources change, or priorities conflict, they present explicit options with cost, time, and risk trade offs. They escalate with proposals, not just problems. Adaptive leadership adjusts style to guide teams through uncertainty while fostering trust.
  • Governance cadence and decision design. They build operating models: steering committees, program increment planning cycles, change control boards, and release readiness gates. This is what it means to maintain governance and institutionalize repeatable processes across cross functional programs.
  • Outcome oriented thinking tied to financial and operational KPIs. They measure program effectiveness through deployment frequency, latency, uptime, cost savings, and faster time to market rather than counting completed tasks. Agile Program Managers prioritize outcomes over outputs.
  • Leadership without direct authority. They coordinate cross functional teams across product, engineering, security, and operations through influence and alignment, not command. Servant leadership empowers team members by prioritizing their autonomy and output. Emotional intelligence aids in navigating organizational politics and resolving conflicts.

The Business Case: Financial and Operational Impact

When companies hiring program managers get the hire right, the return shows up in four concrete vectors:

  • Velocity and predictability gains. Fewer missed milestones and less rework because dependencies and roadblocks are surfaced early. Organizations with mature cross program governance routinely raise delivery predictability by 30% to 40% on large platform projects. Program managers track KPIs to measure program effectiveness and ensure alignment with company strategy and objectives.
  • Reduced costs from technical debt and operational readiness gaps. When readiness gates, architectural reviews, and SRE sign offs are baked into the delivery cycle, you see fewer outages and less costly refactoring later. Effective Agile Program Managers remove systemic impediments without micromanaging teams, which means the debt gets addressed before it compounds.
  • Faster time to value and go to market speed. Properly scoped cross functional delivery programs ship new features and complete migrations faster because coordination is smoother and release orchestration is managed. Program managers lead large scale infrastructure modernization programs and manage end to end delivery of complex technical programs.
  • Risk mitigation and compliance assurance. In regulated industries (finance, healthcare, energy), missing security gates, audit logs, or operational readiness milestones can cause regulatory penalties or reputational damage. Program managers who enforce performing security verification checkpoints, compliance workflows, and release readiness reviews reduce these risks materially. They translate regulatory obligations into actionable engineering requirements.

How to Prepare Before You Start the Search

Auditing Your Technical Constraints First

Before you post a role or engage a partner, you need clarity on what you are actually solving for. Skipping this step is why so many program management hires fail within six months.

Architecture and Debt Audit

Map where your architecture has the biggest friction relative to your business roadmap. Is the system modular or monolithic? What does the debt look like in terms of code, infrastructure, tech stack mismatch, or cloud versus on premises sprawl? Where have coordination bottlenecks caused delays or outages? This audit frames the "why this hire matters" signal to candidates and defines the required experience with similar systems. If you are mid migration to microservices with event driven architecture, you need someone who has lived through that, not someone who read about it.

Team Dynamics and Autonomy Level

Decide whether this hire will be embedded in a single product line or own multiple pods across engineering and product teams. Will they manage people (project managers, TPMs) or lead exclusively via influence? Will distributed teams be colocated, fully remote or hybrid? A remote, distributed setting increases complexity in communication and dependency management exponentially. Program managers must manage cross functional teams effectively regardless of geography, so the operating model must be defined before the search begins.

Deployment Model Dynamics

Consider whether your engagement model is a full time hire, contract, or via a delivery partner. Many senior PMs can work remote, but real time alignment, time zones, and overlapping work hours become critical signals. For organizations that cannot afford a lengthy internal hiring cycle, vetted dedicated remote talent with clear escalation paths is a legitimate strategic option that eliminates FTE friction.

Engineering the Ideal Profile, Not a Generic Job Spec

Stop writing generic job descriptions. The best candidates ignore them. Instead, build a profile around four essential components:

  1. Core Outcome and Mission. What unique mission do you expect of this hire? "Reduce cross team cycle time by 30% in the next two quarters." "Lead cloud migration of legacy monolith to microservices with zero downtime." "Standardize release governance across product and platform teams." The mission frames what success looks like and attracts candidates who define program strategy around measurable outcomes.
  2. Technical Stack Reality. Be specific. If your systems are built on AWS, Kubernetes, event driven microservices, BigQuery, and React, list them. Even though the program manager is not hands on, they need credible fluency: understanding data flows, environmental constraints, deployment tooling, observability, and security audit paths. If you operate under HIPAA, SOC 2, or PCI, include that. This is how you filter for real architectural literacy versus resume keywords.
  3. Decision Making Authority. Document what they own versus what needs approval. Who do they escalate conflicts to? What resources do they control: budget, vendors, hiring power? Without clarity, roles drift fast. Program managers should manage budgets and resource allocation effectively, but only if the authority is explicitly granted.
  4. Growth Trajectory and Span of Influence. Will this role grow into a head of program, portfolio, or enterprise delivery leader? What visibility will they have with the C suite? What mentoring responsibilities? A clear path increases both attraction and retention for senior talent. The best candidates want to know they are building something, not just maintaining a backlog.
To Contact Page

Let’s Turn Your Idea into Scalable Software

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

Contact us

Vetting Candidates and Onboarding for Immediate Impact

A Battle Tested Vetting Framework That Actually Works

Sourcing Reality

Traditional recruiters sell quantity, not quality. They flood your pipeline with candidates who look great on paper but cannot manage a real cross functional initiative under pressure. The alternative is tapping into high performance engineering talent networks and referrals from seasoned PM, TPM, and delivery lead circles. Prescreened talent networks can save 20% to 40% of search time and dramatically improve match quality on experience. In competitive sectors, remote or agency partnered PMs are increasingly viable and often outperform local hires who were selected from a thinner pool. Combine retained search for rare domain or regulatory experience with talent network access for more common PM profiles.

Technical Evaluation Pipeline

Your evaluation process must test real capability, not trivia recall:

  • Live problem solving over textbook questions. Ask the candidate to walk through how they would plan a migration, manage dependencies across cross functional workstreams, or respond to an unexpected production outage. Watch how they build integrated plans under constraints.
  • Real world architecture review. Present a system diagram with problematic coupling, scale constraints, and regulatory compliance gaps. Ask them to map how they would address trade offs in system design. This reveals whether they can maintain master program visibility across complex technical landscapes.
  • Communication under pressure. Simulate a stakeholder dispute or emerging crisis. Observe how they frame risk, propose trade offs, and communicate outcomes to executive and technical stakeholders simultaneously. Transparent communication articulates complex progress and roadblocks clearly across organizational layers.
  • Cross functional culture fit. Test their experience working with product, engineering, security, operations, and compliance. Adapt the evaluation for your culture: fast decisions, high autonomy, lean, regulated, or something else entirely. Stakeholder management connects technical progress to strategic metrics and milestones.

The First 90 Days: A Frictionless Ramp Up Protocol

Structured onboarding is not a nice to have. Companies with strong onboarding plans see new hire retention increase by 50% or more and productivity improve significantly in the first few months. Here is the milestone roadmap:

Days 1 through 30: Context and Relationships. Full immersion in vision, existing programs, strategic documents, reporting lines, tools, and systems access. Meet all key stakeholders across product, engineering, architecture, security, and operations. Gain clear visibility into existing workstreams and where friction points are. They should be absorbing customer feedback loops, understanding operational and escalation issues, and mapping the current state of cross functional coordination.

Days 31 through 60: Meaningful Ownership. Assign ownership of a meaningful program slice. They should lead at least one planning cycle (quarterly or release), manage dependencies, and run demos and reviews. Monitor how they manage communications, drive stakeholder alignment, and communicate status and risk. They should begin to develop service readiness plans and ensure launch readiness for their assigned workstreams.

Days 61 through 90: Full Accountability and Visible Wins. Full ownership over regular deliverables with visible contributions. They should be proactively identifying improvement areas, driving continuous improvement, working independently, and drawing a roadmap for the next quarter with measurable KPIs. By this point they should be owning launch operating models and building operational processes that will outlast them.

Making the Right Decision: Signals That Matter in the Final Round

Interview Signals: Red Flags vs. Green Flags

After hundreds of program management interviews, these patterns reliably predict success or failure:

Red Flags:

  • Tool obsession over problem solving. The candidate lists every productivity tool and framework certification but cannot articulate when complex governance is needed versus when agility matters more. They talk about software programs rather than business problems.
  • Inability to discuss past failures or difficult trade offs. If every story is a success story with no nuance, there are significant gaps in experience or self awareness. Real cross functional initiatives always involve hard calls.
  • Excessive engineering bias. They try to get into the weeds of coding rather than managing system level ownership, dependencies, and risk. A program manager who wants to be an engineer is a program manager who will neglect governance.
  • Poor stakeholder stories. Absence of experience navigating conflict, misalignment, or ambiguity. No examples of balancing customer, engineering, and operations interests. Exceptional communication is crucial for effective stakeholder relationship building, and candidates who cannot demonstrate it are liabilities. Conflict resolution skills are essential for mediating alignment discussions across cross functional stakeholders.

Green Flags:

  • Pragmatic trade off analysis. Clear examples where they chose timeline over scope, or reallocated resources, explicitly communicating risk to leadership. They can articulate how they resolve operational challenges without waiting for permission.
  • Focus on data and system integrity. Examples of using metrics (velocity trends, defect trends, latency, uptime) and observability to drive decisions. They manage risks with data, not intuition.
  • Proactive risk identification. Not waiting for escalation, but anticipating blockers and proposing mitigations. Program managers should track deliverables and risks throughout projects as a default operating mode, not a reactive one.
  • Experience in cross functional leadership. Credible interactions with product, architecture, operations, security service teams, and vendors. Proven ability to lead cross functional initiatives and drive cross functional delivery without formal authority. They support change readiness across the organization.

Why SoftDoes Is the Strategic Advantage You Need

SoftDoes reduces the risk inherent in hiring program managers in two critical ways. First, a zero risk replacement guarantee insures against mismatch. If the placement does not deliver, you get a replacement, not an invoice for wasted months. Second, because SoftDoes provides delivery oversight, prescreened senior engineering context, infrastructure, and agile norms, the candidate pool is pre aligned to the operating model clients require. This eliminates the common failure mode where a program manager is great in theory but flops because the organization lacks maturity in release governance or engineering tooling.

SoftDoes is a North America focused custom software engineering, data, and AI partner serving clients across the US and Canada. The model is built on battle tested senior talent, engineering led delivery oversight (not unmanaged freelancers), rapid deployment capability, and the flexibility to scale up or down as your programs evolve. Whether you need someone to lead a GTM transformation program, accelerate regional growth through targeted partner programs, or pilot emerging tools like agentic coding tools and mid level artificial intelligence capabilities, the talent bench is already vetted for these realities.

Agile practice emphasizes tailoring approaches based on context rather than rigid adherence to a single framework. Agile fluency includes practical knowledge of frameworks like Scrum, Kanban, and Lean. Agile scaling facilitation involves championing frameworks and facilitating program level ceremonies. Successful Agile Program Managers create visibility, alignment, and fast feedback while adapting to changes. Continuous improvement fosters a culture of inspection and adaptation. The Agile Program Manager aligns multiple teams with high level business goals. These are not abstract principles at SoftDoes; they are embedded in how every engagement is structured.

Take the Next Step: Book a Technical Discovery Session

The cost of the wrong hire is not just salary. It is delivered late programs, bankrupted customer confidence, and in regulated sectors, potential compliance failures. The right program manager unlocks return in reduced cycle time, predictable delivery, technical risk reduction, and compliance assurance. Program managers drive change management and stakeholder alignment in projects. They drive end to end execution and change management processes. They need to maintain project roadmaps and schedules. They must drive stakeholder alignment and communication across every layer of the organization.

Stop burning engineering budget on uncertain hires. Book a technical discovery session with SoftDoes architects to map your specific constraints, define the ideal profile, and compress your hiring timeline.

Flag icon

U.S.-Based

Discuss Your Project

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

Certificates

Let's build together.

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

Upload File