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Hire remote Executive Assistant

Discover developers that match your project requirements.

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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What our Executive Assistants can build

Not sure which engagement model fits?

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How to hire a Executive Assistant

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 Executive Assistant through SoftDoes?

From initial discovery call to a signed offer, the typical timeline is one to three weeks depending on role seniority, scope, and whether the position is remote or in house. SoftDoes maintains a pre vetted talent network, which means you skip the months of outbound recruiting and resume sorting that slow down traditional hiring. Recruiters can deliver candidates within 24 to 48 hours when urgency demands it, and most companies have a qualified EA starting within a few weeks of engagement.

What does it cost to hire an Executive Assistant?

Executive assistant roles can earn between $70,000 and $150,000 annually, depending on seniority, geographic location, and scope of responsibilities. For in house hires, factor in an additional 25 to 30 percent for benefits, equipment, and taxes. Remote, US based EAs typically fall toward the lower end of that range, while offshore options can reduce costs further but come with trade offs around communication and time zone alignment. SoftDoes works with you to match engagement models to your budget and business needs.

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

SoftDoes offers several flexible models. A dedicated full time executive assistant for ongoing, high volume support. A contract or project basis engagement for temporary coverage during transitions or special initiatives. A pod model combining an EA with additional support staff for executives who need comprehensive support across multiple functions. You can also start with one model and scale up or down as your organization evolves, without renegotiating from scratch.

How do you ensure time zone alignment with an Executive Assistant?

SoftDoes defines overlap hours during the discovery phase and matches candidates whose availability aligns with your working schedule. For US and Canada based executives, this typically means sourcing from North American talent pools or selecting remote candidates willing to adjust their hours. Asynchronous communication tools and structured handoff protocols ensure nothing falls through the cracks, even when schedules do not overlap perfectly. The goal is smooth running operations regardless of geography.

How does SoftDoes technically vet an Executive Assistant?

The vetting process goes well beyond resume screening. It includes practical writing and task assessments (such as inbox triage, calendar conflict resolution, and meeting prep simulations), structured analytical and problem solving interviews, reference checks, and domain suitability evaluation. SoftDoes specifically tests for experience in regulated industries, familiarity with tech and cloud environments, and the communication clarity that defines senior level executive support. 93% of executive assistants placed through rigorous vetting processes like these passed probation, confirming that structured screening translates directly to successful, long term placements.

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

SoftDoes includes replacement guarantees in its engagement models. If an EA is not the right fit, SoftDoes manages the transition and provides a qualified replacement without starting the search from zero. Regular reviews are built into the onboarding process to catch misalignment early, before it becomes a costly problem. If your needs change, you can scale from a single EA to a full support pod, shift from full time to part time, or adjust scope. Flexibility is built into how SoftDoes operates so your executive support always matches your business reality.

How to Hire an Executive Assistant

Most executives burn weeks sorting through generic resumes, sitting through interviews that go nowhere, and ending up with an assistant who needs constant direction. The right hire should do the opposite: absorb complexity, protect your time, and accelerate decisions. This guide walks you through every step of hiring an executive assistant, from defining the role and vetting candidates to onboarding and long term retention, so you make the right call the first time.

What an Executive Assistant Actually Does (And Why It Matters More Than You Think)

The Real Scope of Executive Support Roles Today

An executive assistant is not an administrative assistant who answers phone calls and files paperwork. The role has evolved into something closer to an operational partner. A strong EA works directly with C suite leadership, managing complexity, anticipating needs, and acting as an integrated gatekeeper. An effective executive assistant manages incoming communications and acts as a gatekeeper for leadership, filtering what reaches the executive and what gets handled independently.

Executive assistants handle administrative tasks to improve efficiency, but the best executive assistants go far beyond basic task execution. Here are the core daily responsibilities and skills that define a senior EA:

  • Calendar and meeting orchestration: Not just managing schedules, but optimizing time blocks, balancing internal and external meetings, applying buffer times, and coordinating across engineering, product, and design leads. Executive assistants manage complex schedules and travel arrangements as a fundamental part of keeping operations running smoothly.
  • Travel, logistics, and vendor coordination: Booking travel arrangements, coordinating client visits, handling expenses, and aligning with compliance requirements. This includes interfacing with third party vendors and managing the logistical details that keep the executive team moving.
  • Communication management and stakeholder liaison: Triaging the executive's inbox, drafting emails or reports in the executive's voice, and acting as a filter or escalation point. Executive assistants help improve workplace communication by managing interactions among stakeholders, including boards, clients, and regulators.
  • Data, reporting, research, and project tracking: Gathering metrics, preparing dashboards, researching topics for upcoming meetings, and ensuring action items are completed. An executive assistant can track deadlines and commitments to ensure that tasks are completed on time, which is critical in project management heavy environments.
  • Operational process design and system improvement: Once core tasks are running, a detail oriented executive assistant builds SOPs, suggests efficiencies, and sets up automations for calendar rules, expense systems, and communication protocols.
  • Discretion, judgment, and adaptability: Executive assistants often handle confidential information with discretion. They must anticipate what can be escalated versus handled independently, adapting to changing priorities and unplanned crises. A skilled executive assistant prioritizes tasks without constant direction, using judgment honed by years of experience.

Typically an executive assistant has 3 to 8+ years of experience in administrative roles. A college degree is not necessarily a requirement for executive assistant roles; relevant previous administrative experience may be more valuable than credentials.

Why Getting This Hire Right Is a Strategic Priority

Hiring the right executive assistant is not an HR checkbox. It is a business decision that directly affects your ability to lead, scale, and protect your organization. Here are four concrete benefits:

  • Time leverage and productivity: Executive assistants can save senior executives up to 30% of their time by absorbing calendar conflicts, travel arrangements, meeting prep, and follow ups. An executive assistant can absorb recurring administrative work to allow leaders to concentrate on decisions and growth.
  • Consistency and reliability in operations: A strong EA ensures follow through on priorities and consistency in stakeholder communications. An executive assistant can improve organization by ensuring deadlines are met and meetings are prepped, reducing missed commitments and compliance lapses.
  • Scalability and cost containment: As engineering, product, or compliance demands scale, a capable EA systematizes and documents processes. This reduces inefficiencies and prevents the need to duplicate leadership time. Hiring an executive assistant can improve operational efficiency significantly.
  • Risk reduction and work life balance: In regulated industries, mishandled travel, missed regulatory deadlines, or poor documentation can create real legal exposure. Reduced stress and burnout are additional benefits of hiring an executive assistant. An executive assistant helps restore work life balance by managing a chaotic calendar and endless emails.

How to Prepare Before You Start the Search

Getting Clear on What You Actually Need

Before you post a job description or talk to recruiters, do the internal alignment work. Skipping this step is why most executive assistant staffing efforts fail.

Project Scope and Requirements

Decide which administrative tasks you truly need delegated versus which responsibilities you want the EA to grow into. If you are a CTO supporting AI/ML or cloud engagements, is the requirement purely administrative (calendar, travel, meeting prep), or will the new assistant also support client communication, vendor compliance tracking, and project management reporting?

Clarify scope: how many direct reports does the executive have, how complex is the calendar, how frequent is travel, and how deep is the access to confidential client material? Include any domain knowledge expectations around cloud infrastructure, regulatory environments, or technical operations. An executive assistant can help structure how your time and attention are used, but only if you define what "structured" looks like for your working style.

Team Structure and Engagement Model

Where does this person fit in your organization? Do they report directly to the executive or through operations? Will they handle communications with engineering leads, product managers, or clients? Define whether the EA will interact with project management systems like Asana, Jira, or Slack. Clarify the level of autonomy you expect. Executive assistants often represent their principals in meetings, so determine up front how much decision making authority the role carries.

In House vs. Dedicated Remote Talent

Weigh the trade offs honestly:

  • In house: More real time presence, faster informal communication, and stronger institutional memory. But higher costs. Salary plus benefits, office space, and equipment can run $97,000 to $157,000 per year in high cost metros.
  • Remote: Access to a larger talent pool with lower overhead. US based remote EAs typically cost $55,000 to $75,000. However, remote demands strong written communication, clear SOPs, and consistent feedback rhythms. You lose the ambient signals that inform priorities.
  • Hybrid: A remote EA with occasional in person alignment, or an in house EA supplemented with remote support for off hours coverage.

Executive assistant roles can earn between $70,000 and $150,000 annually, depending on seniority, location, and scope.

Writing a Job Description That Attracts Top Executive Assistant Talent

A generic job posting attracts generic candidates. Your job description should cover four key elements to attract highly qualified executive assistants and avoid mismatch:

  1. Mission and purpose: Describe why the EA is being hired. What is the core gap? For example: "Enable the CTO to spend more time on architecture decisions and external partnerships by absorbing travel, communications, and project follow ups." This positions the role as a key strategic enabler, not just admin support.
  2. Stack and context: List the tools and environments they will work in. Calendar tools, travel booking, expense systems, PM tools, document management, and communication platforms. Also describe organizational context: is the workload stable or rapidly changing? This helps candidates self select.
  3. Team structure and reporting relationships: Who they report to, who they work with day to day, what level of stakeholder engagement is expected (internal and external), and whether the role involves supervising other assistants or staff.
  4. Growth, impact, and career path: Could they grow into a Chief of Staff, Operations Lead, or EA Analyst hybrid? What metrics define success? What is expected in the first 30, 60, and 90 days? Top talent looks for a career trajectory, not just a job offer. Make the role feel like a dream job for the right person.
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How to Find, Vet, and Onboard Executive Assistants the Right Way

Building a Hiring and Vetting Process That Actually Works

Sourcing Strategy

A mix of channels delivers the best results. Posting on job boards like LinkedIn or Indeed is effective for attracting candidates for executive assistant roles and generates volume. Vetted talent networks and EA focused agencies yield higher quality candidates with less screening overhead. Recruitment agencies can streamline the hiring process significantly. Recruiters can deliver candidates within 24 to 48 hours when speed matters.

Also consider referrals and internal promotion. Look for candidates with experience supporting in regulated industries or in similar tech and operations settings. For senior executives who need comprehensive support, using our talent network that specializes in pre vetted, senior level support removes guesswork from the recruitment process.

Vetting Beyond the Resume

The hiring process for an executive assistant should include resume screening and practical exercises. Go deeper than years of experience with these four approaches:

  • Technical screening and task assessment: Give sample tasks similar to real work. Draft a meeting agenda, prioritize conflicting calendar requests, perform email triage, plan travel arrangements across time zones, or prep a report from ambiguous inputs. Strong technical proficiency with office productivity tools is essential for executive assistants.
  • Real world simulation: Simulate urgency or shifting priorities. Send overlapping meeting requests and have candidates resolve conflicts. Share incomplete inputs and see how they proceed. Effective executive assistants anticipate needs and prioritize incoming requests based on the executive's priorities.
  • Analytical and problem solving interviews: Ask about past situations involving decision making without supervision, prioritization under pressure, and handling mistakes or ambiguity. Example: "You receive conflicting instructions from engineering and product leads. How do you escalate or resolve?" This reveals judgment and professionalism.
  • Culture and communication fit: Given the EA role is deeply personal, assess working style compatibility. Top executive assistants possess strong communication and organizational skills. Exceptional written and verbal communication skills are essential for an executive assistant. Poor written communication during the hiring process is a reliable red flag, especially for remote executive support roles.

A Practical 30/60/90 Day Onboarding Plan

Organizations with structured onboarding see dramatically better retention and faster ramp up. Here is an evidence based plan:

  • Pre Day 1: Set up access to all tools (email, calendar, project management, document storage). Share a "working preferences guide" documenting the executive's style, priorities, recurring meetings, calendar rules, and stakeholder map. Draft introduction messages for internal and external contacts. Ensure NDA and confidentiality agreements are signed.
  • Week 1: Focus on orientation and relationship building. Shadow meetings, observe how the executive spends time. Begin small delegation: scheduling, inbox triage, phone calls. Run daily check ins to clarify misunderstandings. Introduce the new assistant to the team and stakeholders with clarity about the EA's authority and ownership.
  • Weeks 2 through 4: Expand responsibilities gradually. Travel logistics, expense reporting, meeting prep, and external coordination. Begin documenting SOPs. Encourage feedback both ways. Move from daily to regular checkpoints. The goal is for the EA to hit the ground running with increasing confidence.
  • Month 2 through 3: Hand off higher stakes tasks: vendor or client coordination, confidential communications. Define metrics such as executive time saved, meeting cancellation rate, and stakeholder satisfaction. Shift check ins to weekly, then monthly. Encourage the EA to propose process improvements. Review and adjust the role as necessary.

Executive assistant recruitment can take 1 to 3 weeks from start to hire. Full partnership typically takes about three months to develop. Invest in the ramp up and you get long term success.

How to Make the Right Hiring Decision

Red Flags and Green Flags to Watch For

Not every candidate who looks good on paper will be the right match. Here is what to look for during interviews and the vetting process.

Red Flags (Warning Signals)

  • Vague or undefined expectations about the role: If the candidate (or your own job description) cannot articulate clear scope, reporting structure, or deliverables, expect misalignment. Hiring managers should watch for candidates who describe their work in generalities.
  • Overemphasis on availability rather than impact: Candidates who stress "always on" or "24/7" rather than concrete outcomes like project completion or executive time freed often signal a reactive, not proactive, approach.
  • Poor written communication or inconsistent follow through during hiring: Missed meeting times, vague email responses, or inability to clarify ambiguity. For remote or global personal assistants, this is disqualifying.
  • Reluctance to adopt structure, process, or documentation: Discomfort with SOPs, resistance to feedback, or claims of constantly "winging it" without asking for clarity. In roles that require autonomy, this signals risk. The best executive assistants embrace structure.

Green Flags (Indicators of Senior Level Capability)

  • Proactive judgment and anticipation: The candidate gives specific examples of anticipating issues before they arose and making decisions without constant oversight. This shows the seniority and trustworthiness you need in executive support.
  • Excellent written and verbal communication with clarity and responsiveness: They articulate clearly, follow up promptly, and show care in every written exchange. This is especially critical for remote candidates. 93% of permanent placements passed probation, and strong communication is the common thread.
  • Strong organizational and scaling mindset: Evidence they have built or improved processes, SOPs, or tools. Comfortable handling ambiguity and working in fast changing environments. This is what separates top talent from average candidates.
  • Cultural alignment and working style compatibility: They ask about your decision making style, your priorities, and how you prefer to receive communication. They share how they handle urgency and feedback. This alignment is what turns a hire into a perfect match.

Why Partnering with SoftDoes Gives You an Edge

Finding and vetting executive assistant talent on your own is time consuming, risky, and often expensive. SoftDoes removes that friction.

As a North America focused talent delivery partner, SoftDoes gives you access to carefully pre vetted senior talent who understand the demands of supporting executives in technology, compliance, and high growth environments. Unlike isolated freelancers or generic staffing agencies, SoftDoes offers a team delivery model. That means backup support, consistent service quality, and the ability to scale from a single specialist to a full pod as your unique needs evolve.

You also get replacement and scaling guarantees, flexible engagement models (dedicated hire, contract, or pod), and proven expertise with clients across the US and Canada operating in cloud, AI/ML, and regulated industries. SoftDoes handles the search, vetting, and matching so hiring managers can focus on running the business, not reviewing resumes.

The result: you find executive assistants who are the right match faster, with lower recruiting overhead and a smoother running onboarding experience.

Ready to Hire an Executive Assistant?

Stop spending weeks on a recruitment process that leads to mediocre hires. Whether you need a dedicated EA for your C suite or a flexible support model that scales with your organization, SoftDoes can match you with the right executive assistant in record time.

Schedule a discovery call to define your needs, review pre vetted candidates, and start your onboarding plan. No long term commitment required. Just the right person, ready to hit the ground running.

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