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

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

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

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

Boris S.
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Verified in SoftDoesBoris S.
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BG 🇧🇬English (B2)Senior
PythonSQLBashFastAPI

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

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

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

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

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

Eugene M.
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Eugene M.Verified in SoftDoes
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ES 🇪🇸English (C2)Senior
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10+ years in IT, 7+ years focused on DevOps/SysOps/SRE. Currently - Tech Lead at a U.S. company.

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

Hripsime S.
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FR 🇫🇷English (C1)Senior
Deep LearningMachine LearningInterpretabilityConvolutional Neural Networks

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

Hripsime S.
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Deep LearningMachine LearningInterpretabilityConvolutional Neural Networks

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

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

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

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

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
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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 Meta Business Managers can build

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How to hire a Meta Business 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 Meta Business Manager through SoftDoes?

Hiring a Meta Business Manager through SoftDoes takes two to four weeks from initial discovery call to a specialist actively working on your account. The process is faster than traditional recruiting because candidates are pre screened for technical proficiency in ads manager, business manager structuring, and compliance knowledge before they are ever presented. During the first week, SoftDoes runs a discovery session to understand your business goals, current Meta setup, and the scope of work. By week two, you review matched candidates with relevant case studies and portfolio details. Onboarding begins immediately after selection, with access setup and baseline audits happening in the first days.

What does it cost to hire a Meta Business Manager?

Cost depends on engagement model, scope, and seniority. Full time remote specialists through vetted networks typically range from $1,700 to $2,100 per month in lower cost geographies. Freelance Meta Ads specialists charge between $125 and $250 per hour for independent engagements. U.S. based agencies managing Meta business accounts often charge $5,000 per month or more depending on ad spend levels, the number of ad accounts, and whether creative production is included. Industries with strict advertising policy requirements (health, finance, supplements) tend to cost more because of added compliance and measurement work. SoftDoes provides transparent pricing tailored to your scope; contact us for a custom quote based on your specific needs.

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

SoftDoes offers three engagement models. A dedicated Meta Business Manager specialist works full time as an embedded member of your marketing team, handling everything from campaign management to reporting to policy compliance. A managed pod combines a Meta ads expert with designers, analytics support, and compliance resources for companies managing campaign budgets across multiple verticals or geographies. A project based contract covers specific deliverables like account audits, pixel and Conversions API implementation, tracking overhauls, or campaign restructuring. Each model includes performance monitoring, clear deliverables, and the flexibility to adjust scope as your business evolves.

How do you ensure time zone alignment with a Meta Business Manager?

SoftDoes focuses on North American talent delivery. Every specialist placed through SoftDoes works within U.S. or Canadian time zones, which means real time collaboration with your internal team, same day responses to campaign issues, and the ability to attend standups, creative reviews, and strategy sessions without scheduling friction. This is not an offshore model where you wait overnight for updates on campaign performance. Communication standards (response times, reporting cadence, tool usage) are defined during onboarding and monitored throughout the engagement.

How does SoftDoes technically vet a Meta Business Manager?

The vetting process goes well beyond resume review. Candidates complete a technical screening covering Meta Business Manager structuring, ad account administration, meta pixel and Conversions API configuration, and the measurement stack. They then perform a practical audit of a real or simulated Meta business environment, identifying optimization opportunities and policy risks. An analytical interview tests their ability to diagnose drops in campaign performance, propose recovery strategies, and explain attribution decisions. SoftDoes also verifies referrals with a focus on communication reliability, cross team collaboration, and performance under pressure. Only candidates who pass all stages enter the talent pool. Practical experience, not just certifications, determines who makes the cut.

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

SoftDoes includes a replacement guarantee in every engagement. If a specialist is not meeting performance expectations or is not the right cultural fit for your team, SoftDoes provides a replacement without restarting the hiring process from scratch. Scaling works the same way: if your ad spend grows and you need additional specialists, or if you need to reduce scope during slower periods, the engagement model adjusts accordingly. This flexibility removes the risk that comes with traditional hiring, where a bad fit means months of lost productivity and a full recruiting restart.

How to Hire a Meta Business Manager

Most companies hiring a Meta Business Manager end up cycling through underqualified freelancers or overpaying agencies that treat their ad account like one of dozens. The result: burned ad spend, policy violations, and months lost rebuilding what should have worked from day one. This guide walks you through what the role actually involves, how to scope and staff it correctly, what to look for (and avoid) in candidates, and how to onboard a hire who delivers measurable business outcomes from the first quarter.

What a Meta Business Manager Does and Why the Role Matters

What a Meta Business Manager Actually Does Day to Day

The title "Meta Business Manager" covers a broad operational scope. This is not someone who simply logs into Ads Manager and launches a few ad campaigns. In practice, the role is the operational owner of every Meta asset your company touches: ad accounts, Pages, Pixels, the Conversions API, domain verification, and partner access. Meta Business Manager centralizes all business assets in one workspace and allows secure management of user permissions and roles, which means the person running it carries real security and compliance weight.

Here is what the daily work looks like:

  • Structuring and maintaining the business manager environment. This includes organizing ad accounts, assigning roles using least privilege access principles, verifying domains, configuring the meta pixel and server side tracking via the Conversions API, and managing agency or partner collaboration without transferring ownership.
  • Campaign strategy and execution. Defining each campaign objective, selecting target audiences (prospecting, retainers, lookalikes, custom audiences), allocating campaign budgets, and setting bidding strategies. Competence in understanding campaign objectives is critical for anyone in this seat.
  • Creative oversight and performance optimization. Planning creative refresh cycles to combat creative fatigue, running structured A/B tests, managing ad copy and visual messaging across static and dynamic formats. A qualified Meta Ads Manager should understand and implement creative variation in campaigns because creative testing is one of the highest leverage activities for improving Meta Ads performance.
  • Account health and policy compliance. Monitoring Meta's Account Quality dashboard (a traffic light system of green, yellow, and red indicators), managing ad rejection rates, handling appeals, and staying ahead of special category restrictions in verticals like healthcare, finance, and supplements. An understanding of advertising policies can prevent ad rejections or bans.
  • Analytics, reporting, and accurate tracking. Setting up UTMs, integrating external analytics tools such as Google Analytics, tying ad spend to lead generation or revenue, and evaluating key metrics like ROAS, CPA, CTR, and Customer Lifetime Value. Familiarity with external analytics tools is crucial for accurate conversion tracking.
  • Cross team coordination. Working with engineering on pixel and Conversions API setup, legal on regulated ad content, design on creative production, and sales teams on lead quality feedback loops.

Top professionals master Meta Ads Manager for campaign management. They also work fluently across Meta Business Suite, Events Manager, and the broader tech stack your company relies on.

Why Hiring the Right Person Is a Strategic Priority

Hiring for a Meta role should focus on performance and account management discipline. Getting this wrong does not just waste budget; it introduces systemic risk to your advertising infrastructure.

  • Reduced account risk. A single policy violation can degrade Account Quality across all your assets, throttling delivery or disabling accounts entirely. The right hire keeps you in the green.
  • Lower cost per acquisition. Better audience targeting, disciplined budget allocation, and structured creative testing produce more winning ads per dollar of ad spend. Experts use data metrics like ROAS and CTR for optimization, turning Meta from a cost center into a growth channel.
  • Faster time to scale. When pixels, measurement, and campaign architecture are set up correctly from day one, scaling into new markets or increasing budgets does not require rebuilding from scratch. A skilled Meta Business Manager can reduce technical debt.
  • Compliance and brand safety in regulated verticals. If you operate in healthcare, finance, or education, policy missteps trigger legal exposure on top of ad account restrictions. You need someone with specialized expertise in these constraints, not a generalist learning on your dime.

Facebook has over 3 billion monthly active users. Over 3 billion users engage with Meta platforms monthly. That reach is only valuable if the person managing your presence on it can drive conversions reliably and protect the assets that make it possible.

Preparing to Hire a Meta Business Manager

What to Define Before You Open the Role

Before you write a job description or contact a recruiter, answer three questions internally. Skipping this step is the most common reason hiring timelines double.

Project Scope and Requirements

Decide whether you need someone to own outcomes (responsible for ROAS, lead volume, profitable growth at scale) or to execute (launching campaigns, monitoring dashboards, reporting to a marketing executive who sets strategy). That distinction determines seniority, compensation, and the kind of candidates you attract. Defined objectives and budget constraints are essential when sourcing candidates.

Clarify which verticals and markets you advertise in. If you run ads in health, finance, or other regulated categories, you need a paid advertising expert with compliance experience, not just someone who can optimize campaigns. Creative production is the other scope question: will the specialist handle it, will an internal design team supply assets, or will you outsource? Adding creative responsibility to the role increases cost and complexity.

Team Structure and Engagement Model

Four models exist, each with clear tradeoffs:

  • Full time, in house specialist. Maximum ownership and brand alignment. Best for enterprises or scale ups pushing large budgets across multiple markets. Highest cost when you factor salary, benefits, and overhead.
  • Dedicated remote hire through a vetted talent network. Senior capability without building HR overhead. Includes replacement guarantees and the ability to scale up or down. This is the model SoftDoes operates, pairing clients with pre screened Meta ads experts.
  • Agency or retainer model. External team handling strategy, execution, and creative. Useful when you need outside perspective or surge capacity. The tradeoff is less brand intimacy and slower iteration from added communication layers.
  • Project based or freelance. Useful for a one time audit, restructure, or transition. Freelance Meta Ads specialists charge between $125 and $250 per hour. Unreliable for long term account health or strategic continuity.

In House vs. Dedicated Remote Talent

Hiring an internal full time specialist in North America can cost two to three times more than engaging a vetted remote hire once you factor salary, benefits, and overhead. Remote specialists in lower cost regions run roughly $1,700 to $2,100 per month for full time work, while U.S. agency or senior freelance rates often exceed $5,000 per month for broad scope engagements. The decision depends on how much in person collaboration your marketing team needs and whether your tech stack supports asynchronous workflows.

Writing a Job Description That Attracts the Right Candidates

A vague job description pulls in vague candidates. A strong one covers four elements:

  • Mission and ownership. State what the hire will be accountable for in concrete terms: "Own $X/month in ad spend, grow qualified leads by Y% while holding CPL under $Z." This filters out candidates who want to hide behind vanity metrics.
  • Technical stack and context. List the Meta tools you use (Business Manager, Ads Manager, Events Manager), your measurement and tracking setup, the current state of account health, and any vertical specific constraints. Meta Ads require sophisticated, data informed strategies; your description should signal that you know this.
  • Team structure. Describe who the hire will work with: designers, analytics, legal, product, sales teams. Clarify reporting lines and creative approval processes.
  • Growth and impact. Outline opportunities to scale responsibility over time, contribute to paid media strategy across channels, or mentor junior team members. This attracts a digital marketing strategist with a strategic mindset, not just a button pusher.
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Finding, Vetting, and Onboarding the Right Meta Business Manager

How to Source and Vet Candidates

Where to Find Qualified Candidates

Standard outbound recruiting (job boards, LinkedIn posts) generates volume, not quality. Most responses will come from generalists who have run a few Facebook Ads campaigns but lack the deep expertise required to manage business assets at scale. Practical experience is often prioritized over certifications in hiring Meta Ads Managers.

A smarter way is to start with a vetted talent network that pre screens for the specific technical skills and operational discipline this role demands. SoftDoes maintains a pool of senior specialists matched to client requirements within days rather than weeks, because the screening has already happened before you engage.

Vetting Beyond the Resume

Resumes and certifications tell you what someone claims. These four steps tell you what they can actually do:

  • Request concrete case studies. Ask for real numbers: cost per lead, ROAS, conversion rates, campaign budgets managed. Probe for situations where campaigns underperformed. What did they test? What did they learn? Requesting concrete case studies can help evaluate a candidate's past performance. Watch for candidates who only cite reach or impressions; those are vanity metrics.
  • Technical screening. Test for hands on knowledge of Business Manager structuring, ad account administration, meta pixel and Conversions API setup, the measurement stack, and compliance alignment. Business Manager supports advanced advertising features like Pixels and CAPI, and your hire needs to configure them correctly. Hiring a Meta Ads Manager requires technical proficiency and data analysis skills.
  • Practical, real world task. Ask candidates to audit your current Meta Business Manager setup. Have them identify at least three optimizations or policy risks and propose remediation. This reveals whether they can analyze results, spot problems, and articulate solutions under real conditions.
  • Analytical and problem solving interview. Present sample data where campaign performance dropped (ad set fatigue, rising CPA, account health turning yellow). Ask for a hypothesis and a recovery plan. Testing strategic thinking during interviews can reveal adaptability to algorithm shifts and platform updates. Candidates should be able to explain attribution and campaign decisions during this step.
  • Referral checks. Referral checks should focus on communication style and reliability under pressure. Ask former managers or collaborators specifically about how the candidate handled a crisis, a budget cut, or a policy rejection.

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

Fast onboarding is the difference between a hire who delivers results in month two and one who is still "getting oriented" in month four. Meta Business Manager organizes all business assets in one place, manages permissions for team members and collaborators, and allows secure collaboration with agencies, so proper access setup on day one is critical. Using Business Manager reduces security risks from personal logins, and proper asset ownership and security are essential when granting access in Meta Business Suite.

First 30 days. Grant access to the meta business manager, all relevant ad accounts, Pixels, Events Manager, and design assets. The hire audits existing advertising campaigns, establishes baseline metrics (CPA, ROAS, CPL, audience performance by segment), and documents the current state. Role clarity, internal approval processes, and legal review workflows get defined here. Candidates should understand the principles of least privilege access in Meta Business Manager from the start.

Days 31 to 60. The specialist begins testing creative refreshes, new audience segments, and budget reallocation. They set up reporting dashboards, refine targeting, and start cleaning up any policy compliance issues. Success in Meta advertising should focus on metrics like Return on Ad Spend and Customer Lifetime Value; this is where the measurement framework gets locked in. Analyzing CPA, ROAS, and frequency optimizes campaign structures.

Days 61 to 90. By now, the hire should have a stable campaign architecture, a clean measurement stack, and a creative calendar. Expect a clear demonstration of improved performance or a credible forecast backed by data. This is also when you evaluate retention: periodic reviews, access to training on new features, clear ownership over sustainable growth targets, and enough budget support to maximize ROI.

Evaluating Candidates and Choosing a Partner

Warning Signs and Positive Indicators in Meta Business Manager Candidates

Red flags:

  • Claims of viral growth or massive ROAS with no attribution data, no dates, and no campaign context behind them. A proven track record means showing the work, not just the highlight reel.
  • Weak grasp of Meta's advertising policies or no experience with restricted verticals. If they have never dealt with an ad rejection or account restriction, they are not ready for a role that demands compliance literacy.
  • Reliance on vanity metrics (reach, impressions) rather than cost per action, conversion rates, or revenue attribution. Data driven campaigns require data driven thinking.
  • Inability to explain the technical setup: pixels, domain verification, server side tracking, or the difference between personal and business asset permissions. Meta Business Manager is essential for managing multiple ad accounts; your hire needs to know how it works at a structural level.

Green flags:

  • Provides case studies with clear key metrics, shows patterns of testing and iteration, and openly discusses failures and what they learned. This is the mark of a meta ads expert with a track record of continuous improvement.
  • Demonstrates hands on experience with large scale ad spend across multiple verticals, including regulated industries. Experience taking over troubled ad accounts and restoring account health is a strong signal.
  • Strong technical foundation: knowledge of the full tracking stack, analytics integration, attribution modeling, and creative optimization pipelines. Top candidates should master Meta Ads Manager and Business Suite and be able to track performance across the full funnel strategy.
  • Culture alignment: clear communication, proactive updates, strong process orientation, and effective collaboration with legal, design, product, and sales teams. A marketing expert who cannot work cross functionally will bottleneck your growth.

Why Partnering with SoftDoes Gives You an Edge

SoftDoes is a North America focused talent delivery partner that places senior, carefully vetted Meta Business Manager specialists with companies across the U.S. and Canada. Here is what that means in practice:

  • Top tier talent, not junior freelancers. Every specialist in our network has depth in Meta platforms, policy compliance, and the technical stack required for enterprise or scale up environments.
  • Team delivery, not isolated contractors. SoftDoes can assemble pods that integrate a Meta Business Manager specialist with design, analytics, and compliance support, reducing friction across your marketing team.
  • Replacement and scaling guarantees. If a hire is not performing, SoftDoes provides a replacement. Need to scale from one specialist to a full team? The model flexes to match your business objectives.
  • Time zone alignment and communication standards. North American focus means your paid media operations run on your schedule with direct, high quality communication.
  • Flexible engagement models. Single dedicated specialist, managed team, or project based engagement. You choose the model that matches your growth stage and budget.

Most teams can hire a Meta Business Manager in two to four weeks through SoftDoes, compared to months of screening, interviewing, and onboarding through traditional channels.

Ready to Hire a Meta Business Manager?

If you are spending money on meta ads without confidence in who is managing your accounts, every week costs you more than just ad spend. Contact SoftDoes to schedule a discovery call. We will assess your current Meta Business Manager setup, define the right engagement model, and match you with a vetted specialist who can drive measurable business outcomes from day one.

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