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Hire remote Advertising Manager

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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.
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Verified in SoftDoesAndrea M.
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IT 🇮🇹English (C1)Senior
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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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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
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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.
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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
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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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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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Boris S.
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Boris S.
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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.

Eugene M.
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Verified in SoftDoesEugene M.
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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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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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Hripsime S.
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FR 🇫🇷English (C1)Senior
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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.

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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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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
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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.

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

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

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

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

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

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

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

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

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

Tzechung K.
Available Now
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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.
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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 Advertising 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.

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How to hire a Advertising 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 an Advertising Manager through SoftDoes?

Traditional recruitment for a senior advertising manager typically takes 8 to 12 weeks when you account for sourcing, vetting, interviewing, and notice periods. SoftDoes dramatically compresses this timeline by maintaining a prescreened network of battle tested professionals. Because every candidate has already been technically vetted by our engineering leads, you can move from initial consultation to deployed talent in days rather than months. This speed comes from years of investment in our talent pipeline and a structured matching process that aligns candidate capabilities with your specific technical constraints and business goals.

What does it cost to hire an Advertising Manager?

The median annual wage for advertising managers was $126,960 based on the most recent federal data, with ranges from roughly $65,000 to over $160,000 depending on scope, industry, and geography. Fully loaded costs for an in house FTE, including benefits, tools, software subscriptions, and management overhead, typically add 25% to 40% above base salary. SoftDoes engagement models provide access to senior caliber talent at predictable pricing without the hidden costs of traditional hiring: recruiter fees, onboarding risk, severance exposure, and the opportunity cost of a slow or failed search. We structure pricing around the outcomes and engagement scope your organization needs.

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

SoftDoes offers multiple engagement models designed for different scaling needs. A dedicated hire model places a senior advertising manager fully embedded in your organization with engineering oversight. A pod model provides a small, integrated team covering strategy, execution, and measurement for companies that need broader support across marketing campaigns and content creation. Contract engagements are ideal for short term projects, campaign launches, or interim coverage while you build your permanent team. Each model includes performance monitoring, structured reporting, and the flexibility to scale up or down as demand changes, without the HR friction of traditional employment.

How do you ensure time zone alignment with an Advertising Manager?

SoftDoes is a North America focused partner serving clients across the US and Canada. Every engagement is structured around workable overlap hours aligned with your core business operations. Whether your company operates on East Coast, West Coast, or Central time, we match talent who can participate in real time collaboration with your teams during your working hours. For organizations with distributed teams or partners across multiple time zones, we establish clear communication protocols and reporting cadences that ensure nothing falls through the cracks regardless of geography.

How does SoftDoes technically vet an Advertising Manager?

Our vetting process goes far beyond resume screening. Every candidate undergoes a multi stage evaluation led by senior engineers and marketing operations leaders. This includes live problem solving exercises using real world scenarios (auditing a failing campaign, designing an attribution pipeline, proposing a budget reallocation under constraint), assessment of communication skills under pressure, and cross functional culture fit evaluation. We verify recent industry case studies with specific performance baselines and outcomes. We also assess data discipline, platform fluency across Google, Meta, and programmatic channels, and the candidate's ability to connect advertising performance to downstream business metrics like revenue, LTV, and margin.

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

This is where SoftDoes fundamentally differs from traditional hiring. Our zero risk replacement guarantee means that if an advertising manager does not meet the defined performance standards, we replace them immediately at no additional cost. There are no drawn out performance improvement processes and no sunk recruitment fees. If your business needs change and you need to scale the team up to capture a growth opportunity or scale down after a product launch, our flexible engagement architecture accommodates that without termination costs, long notice periods, or HR overhead. You maintain full control over your ad accounts, data, and campaign assets regardless of any personnel changes.

The Executive Guide to Hiring an Advertising Manager

A single misaligned advertising manager can quietly burn through six figures of ad spend before anyone notices the damage. A slow hiring pipeline is even worse: every week without the right person in the seat means campaigns stall, measurement degrades, and your competitors capture the demand you should own. This playbook gives you a field tested strategy to define, vet, and onboard top tier Advertising Manager talent, built from the same engineering rigor we apply to every critical hire at SoftDoes.

What Is Actually at Stake

What Separates Senior Advertising Manager Talent from Order Takers

Most job specs describe someone who "runs paid campaigns." That is not the role you need to fill. A senior Advertising Manager, sometimes called a performance marketing manager, must own business outcomes, design scalable systems, and make hard tradeoff decisions daily. Here is what that looks like in practice:

  • Multi channel portfolio strategy: Leads paid acquisition across Google Search, Shopping, Performance Max, Meta, LinkedIn, TikTok, and programmatic display. Understands how to build and rebalance a channel portfolio based on marginal returns, not platform loyalty.
  • Measurement and data architecture ownership: Configures GA4, conversion APIs, cross domain tracking, and BI pipelines connecting ad spend to downstream metrics like LTV, retention, and margin. Without this, every decision is built on bad data.
  • Creative strategy as a performance lever: Treats creative formats, messaging variants, and asset governance as core drivers of campaign performance, not afterthoughts handed off to a design team after the media plan is done.
  • Budget allocation, forecasting, and kill decisions: Knows when to cut a low ROI channel, shift budget mid cycle, control pacing, and forecast results under uncertainty. Advertising managers plan programs to generate product interest, but the best ones protect your margin while doing it.
  • Cross functional leadership: Partners effectively with Product, Engineering (for tagging and measurement), Finance (for forecasting), and creative teams. Able to communicate performance data and strategic tradeoffs to C suite stakeholders without translation.
  • Compliance and platform risk navigation: Stays ahead of privacy changes, cookieless attribution shifts, and platform policy updates so your infrastructure does not break when Google or Meta changes the rules.

Hiring advertising managers should focus on proven campaign results, not resumes padded with tools and certifications. Strong candidates focus on business outcomes rather than clicks or impressions.

The Business Case: Financial and Operational Impact

This is not a "nice to have" marketing hire. The financial and operational exposure is real:

  • Wasted spend reduction: A capable advertising manager can identify and eliminate low converting channels, fix attribution gaps, and reduce creative fatigue, often recovering 20% or more of previously wasted budget within the first quarter.
  • Speed of execution: Without someone who owns both strategy and execution, campaign launches, A/B testing cycles, and iteration loops stall. Every delay costs budget and market position.
  • Technical debt elimination: Bad tracking, mismatched metrics, and siloed reporting create compounding inefficiency. The right hire builds or fixes data pipelines so leadership decisions are grounded in reality.
  • Risk mitigation and scalability: A senior hire anticipates platform changes, sets up resilient measurement frameworks, and retains institutional knowledge that would otherwise walk out the door with an agency contract.

Preparing to Search

Audit Your Technical Constraints Before Writing a Single Job Spec

Before you interview anyone, audit what the candidate will inherit, what constraints they face, and what levers they can actually pull. Skipping this step is the most common reason executives end up with a bad hire.

Architecture and Debt Audit

Walk through your current stack: ad platforms (Google Ads, Meta, LinkedIn), measurement tools (GA4, Tag Manager, conversion APIs), dashboarding tools, and data pipelines linking spend to CRM and revenue. Identify what is broken, what is missing (cross domain tracking, consistent conversion definitions, siloed channels), and what must be fixed immediately versus long term. This audit defines the problem your hire must solve first and sets realistic expectations for both sides.

Team Dynamics and Autonomy Level

Clarify the organizational reality. Is this person embedded in Engineering or Marketing? Who reports to them? Are you hiring someone to be buried in execution with little strategic authority, or a strategic controller who hires and manages specialists? Define the autonomy level explicitly: what decisions can they make without escalation, and where do they need VP or CTO approval? Misalignment here is the fastest path to a frustrated hire and a failed engagement.

Deployment Model Dynamics

Decide whether this role will be an in house FTE (with fully loaded cost including tools, benefits, and overhead) or whether you use a specialist talent network, agency, or hybrid model. Each model carries distinct tradeoffs. Agencies bring cross industry exposure but limited brand ownership. In house hires bring deep context but long recruitment cycles and HR overhead. Many growth stage companies find that a hybrid approach, a senior strategist deployed through a partner like SoftDoes combined with specialist support, delivers the best balance of speed, quality, and flexibility. Our services are designed around exactly this model.

Engineering the Ideal Profile, Not a Generic Job Spec

Stop writing job descriptions that read like a wish list of marketing buzzwords. Engineer a profile with four essential components:

  • Core Outcome and Mission: Define exactly what business results this person must own. Example: "Deliver 3x ROAS at current spend baseline while scaling two new channels from zero with less than 20% incremental budget." Be specific or you will attract generalists.
  • Technical Stack Reality: List the platforms, tools, data sources, and budget size they must already be fluent in. Include GA4, relevant ad platforms, BI tools, and any vendor or agency relationships they will manage.
  • Decision Making Authority: Spell out what decisions they can make without going up to the VP or CTO. Budget reallocation thresholds, vendor selection, creative testing, channel entry, and measurement framework changes should all be defined.
  • Growth Trajectory and Scope: Describe the opportunity: building or leading a team, owning media budgets across all channels, moving toward a Director or VP level role, cross functional expansion. Top talent evaluates growth potential as seriously as compensation.

Advertising managers typically need a bachelor's degree and relevant work experience in a related field. A master's degree can be a differentiator for enterprise or regulated industry roles, but operational results always outweigh credentials. Leadership is an essential skill for an advertising manager, so your profile should explicitly require demonstrated team leadership and cross functional collaboration.

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Vetting and Onboarding

A Vetting Framework Built for High Stakes Hiring

Sourcing Reality

Do not rely solely on job boards. The best advertising managers, the ones responsible for managing seven and eight figure budgets across social media platforms, Google, and programmatic channels, are rarely actively searching. Use prescreened performance marketing networks, referrals from peer companies, and specialist recruiters who understand multi channel paid media. Our talent network is built specifically to give you access to candidates who have built and scaled advertising programs, not just executed playbooks someone else wrote. Employment for advertising managers is projected to grow 6% over the coming decade, and top cities hiring advertising managers include New York and Los Angeles, meaning demand is intensifying and competition for the right expertise is fierce.

Technical Evaluation Pipeline

Forget trivia questions about platform features. Your evaluation pipeline should stress test judgment, communication, and systems thinking:

  • Live problem solving: Present a real world scenario. Ask the candidate to audit a failing campaign, propose a channel mix shift when one platform's CPA spikes, or design an attribution pipeline architecture. Evaluate how they think, not what they memorize.
  • Communication under pressure: Can they explain tradeoffs (speed vs. cost, creative testing vs. reach expansion) to nontechnical stakeholders? This is nonnegotiable for anyone working with cross functional teams.
  • Cross functional culture fit: Assess their ability to partner with Product, Engineering, Creative, and Legal (especially critical for clients in regulated industries).
  • Case study verification: Verify recent industry case studies. Be suspicious of vague case studies without a performance baseline. Ask for specific metrics, timelines, and what went wrong.

Define specific business goals before hiring an advertising manager. Set clear objectives such as leads, brand awareness, or customer acquisition cost targets before evaluating candidates, so every interview conversation is anchored to your actual business needs.

The First 90 Days: A Frictionless Ramp Up Protocol

Unstructured onboarding delays full productivity by four to six months. A structured 30/60/90 day plan dramatically accelerates time to value. Consider a structured trial period before committing to a long engagement with a manager.

Days 1 through 30: Diagnosis and Quick Wins. Ensure all access and tools are in place before day one. The new hire conducts a deep review of existing ad spend, marketing campaigns, advertising campaigns, creative assets, and the measurement stack. They meet every key stakeholder: Product, Creative, Engineering, Sales. They identify and execute quick wins, cutting a low ROI campaign, fixing misfiring creative, or correcting a tracking gap. Confirm asset control to ensure ownership of ad accounts and data from the start. Retain full ownership of ad accounts when working with an advertising manager.

Days 31 through 60: Strategy and Execution. The manager commits to one or two high impact strategic adjustments. They begin experimentation cycles, adjust budget allocations, and provide the first strategic forecasts. They start building or refining the reporting cadence for leadership. Transparency in performance measurement is crucial during this phase.

Days 61 through 90: Ownership and Visible Results. The advertising manager fully owns channel performance and shows measurable improvements: lower cost per acquisition, increased channel ROI, or successful new channel launches. They establish recurring reporting, set SOPs, document handoffs, and present a longer term roadmap. Most advertising managers work full time, often over 40 hours weekly, and by day 90 you should see the return on that investment clearly.

Making the Call

Interview Signals That Separate Operators from Pretenders

Red Flags:

  • Tool obsession: "We must use X platform" instead of reasoning about which tool fits the problem. Overspecifying tool sets limits your talent pool and signals rigidity.
  • Inability to discuss past failures: Every experienced marketer has campaigns that underperformed. If they cannot articulate what went wrong and what they learned, they lack self awareness or are hiding something.
  • Excessive engineering focus without business sensibility: Technical skill matters, but an advertising manager who cannot connect data to revenue, growth marketing strategy, or customer acquisition is incomplete.
  • Vagueness when asked about first week priorities: Declining to commit to concrete actions or giving generic "I'd observe and learn" answers signals a lack of operational instinct.

Green Flags:

  • Pragmatic tradeoff analysis: They discuss decisions in terms of speed vs. cost, creative velocity vs. quality, and channel diversification vs. concentration with nuance and real examples.
  • Data and system integrity focus: They proactively ask about your measurement stack, data pipelines, and attribution model before talking about campaigns.
  • Proactive risk identification: They flag potential issues (privacy changes, platform dependency, creative fatigue) without being prompted.
  • Past failure transparency: They openly share a campaign that failed, what they changed, and what the result was. This signals both competence and integrity.

Avoid managers who guarantee unrealistic results in advertising. Marketers who promise overnight success on digital marketing channels or guaranteed ROAS numbers without understanding your business are selling you fiction.

Why SoftDoes Is the Strategic Advantage

SoftDoes is a North America focused custom software engineering, data, and AI partner serving clients across the US and Canada. When it comes to deploying advertising managers, our approach is fundamentally different from traditional recruitment:

  • Battle tested senior talent: Every candidate in our talent network has been vetted by engineering leads with measurement and data engineering backgrounds, not just marketing recruiters.
  • Engineering led delivery oversight: Your advertising manager operates within a structured delivery framework, not as an unmanaged freelancer. This means performance tracking, quality gates, and accountability from day one.
  • Rapid deployment capability: Skip the typical 8 to 12 week recruitment cycle. Our prescreened network allows deployment in days, not months.
  • Flexible scaling architecture: Scale your marketing team up or down without HR overhead, termination costs, or long term commitment. Whether you need support for short term projects or sustained growth marketing operations, the engagement flexes with your business.
  • Zero risk replacement guarantee: If performance metrics are not met, we replace the talent immediately. No drawn out PIPs, no sunk cost, no disruption.

The median annual wage for advertising managers was $126,960 as of the most recent Bureau of Labor Statistics data. Many advertising agencies offer various compensation structures including flat fees or performance based fees. When you factor in fully loaded costs (benefits, tools, ad platform budgets, and management overhead), an in house hire can run 25% to 40% above base salary. SoftDoes engagement models are designed to deliver senior caliber talent at a predictable cost, with the flexibility and risk mitigation that traditional hiring simply cannot match.

Your Next Move

Every week without the right advertising manager in the seat is a week of wasted spend, missed growth, and compounding technical debt. You now have the playbook: a clear framework to define the role through business impact, audit your constraints, engineer the ideal profile, vet with rigor, and onboard for immediate returns.

The fastest path forward is a technical discovery session with the SoftDoes architecture team. We will map your current marketing infrastructure, define success metrics, and match you with senior talent who can deliver from week one.

Book a technical discovery session today. No long term commitment. No recruitment theater. Just the right expertise deployed where it matters.

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