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

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

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 Pitch Deck Consultants can build

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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 Pitch Deck Consultant

01
BROWSE PROFILESRIGHT NOW

Fill out a short form and see who's on the bench. Real profiles, verified histories.

02
Interview1-3 DAYS

Tell us what you need. We propose two or three candidates from the bench; you interview them directly.

03
OnboardWEEK ONE

Your engineer starts on your project. Contract, payments, and the guarantee run through us.

US VS. THE DATABASE

Time to Start
Talent Quality
Technical Vetting
Flexibility
Operational Overhead
Cost Efficiency
cursor
<SoftDoes>
Time to Start
1-2 weeks
Talent Quality
Senior-only engineers
Technical Vetting
Multi-stage screening
Flexibility
Scale up or down anytime
Operational Overhead
As managed as you want
Cost Efficiency
Competitive, fee-free
Talent Marketplaces
Time to Start
1-3 months
Talent Quality
Mixed experience levels
Technical Vetting
One screen, then gone
Flexibility
Contract restrictions
Operational Overhead
Partially managed
Cost Efficiency
Agency markup
In-House Hiring
Time to Start
2-6 months
Talent Quality
Depends on market
Technical Vetting
Internal responsibility
Flexibility
Long-term commitment
Operational Overhead
Fully internal
Cost Efficiency
Highest total cost

Frequently Asked Questions

Everything you need to know about deploying, scaling, and securing your neural agents with SoftDoes. Can’t find an answer?

How long does it take to hire a Pitch Deck Consultant through SoftDoes?

SoftDoes typically sources and vets candidates within one to two weeks. Once contracted, expect the initial deck build to take two to four weeks depending on scope and complexity. The entire arc from first conversation to a finished pitch deck ready for investor outreach usually falls in the four to six week range. For founders on a tighter timeline, the process can compress further when materials like a business plan, financial model, and market analysis are already in hand.

What does it cost to hire a Pitch Deck Consultant?

Pitch deck consultant cost varies by engagement depth. A basic design polish on a pre written deck with minimal revisions runs $500 to $2,000. Mid level engagements that include narrative restructuring, messaging, and visual consistency fall in the $3,000 to $10,000 range. Premium strategy led engagements with financial modeling, multiple versions for different target investors (angel investors, venture capital firms), and industry complexity (healthcare, fintech, AI) range from $10,000 to $30,000 or higher. SoftDoes aligns pricing to scope, with milestone based payment structures that tie cost to deliverables rather than hours.

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

Three primary models exist. Contract or project based work covers a single deck or one fundraising round with defined deliverables and timeline. An embedded pod allocates a narrative strategist, pitch deck designer, and financial modeler over a set period, which works well for companies needing multiple investor ready decks or ongoing updates. A dedicated hire makes sense if you expect continuous investor engagement across subsequent rounds, follow up materials, and board presentations. Each model trades off cost, control, and turnaround speed differently; SoftDoes helps you choose based on your growth strategy and fundraising calendar.

How do you ensure time zone alignment with a Pitch Deck Consultant?

SoftDoes contracts consultants with overlapping business hours across North American time zones. Communication norms get established during onboarding: daily standups, synchronous review sessions, and clear expectations around deliverable timing. For clients outside North America, SoftDoes ensures a minimum of four overlapping working hours per day, so feedback cycles do not stretch across multiple days. This matters because investors spend only about three minutes reading a pitch deck; every day of delay in the build process is a day closer to a missed window.

How does SoftDoes technically vet a Pitch Deck Consultant?

The vetting process covers four layers. First, a portfolio review focused on narrative driven decks that led to actual funding rounds, not just visual appeal. Second, a case study interview where the candidate walks through a past engagement: the business story, the investor objections they anticipated, how they structured the competitive landscape and market size slides, and the fundraising outcome. Third, a practical task where the candidate audits a sample deck and proposes structural changes; this tests both strategic depth and communication skills. Fourth, a check for financial literacy, stage awareness (what investors expect at pre seed versus Series A versus growth), and domain familiarity. Candidates who clear all four stages enter the active talent pool.

What happens if the Pitch Deck Consultant isn't the right fit, or I need to scale up or down?

SoftDoes includes a replacement guarantee. If the consultant is not delivering, a new match is provided without restarting from zero. Milestone reviews at 30, 60, and 90 days formalize the evaluation process. If your needs expand (additional decks for new markets, a financial model refresh, pitch coaching for a different audience), SoftDoes scales the team by adding specialists. If the fundraise closes and you need to reduce scope, the engagement flexes down. This model removes the lock in risk of a full time hire while preserving the continuity and depth of an internal deck team.

How to Hire a Pitch Deck Consultant

Most founders burn 70 to 130 hours building decks that investors skim in three minutes, then wonder why meetings never materialize. The right pitch deck consultant compresses that cycle, sharpens the narrative, and puts a finished pitch deck in front of the investors who matter. This guide walks you through scoping the role, vetting candidates, structuring the engagement, and avoiding the mistakes that waste both time and budget.

What a Pitch Deck Consultant Actually Does

Core Tasks and Skills Behind the Title

A pitch deck consultant is not a slide designer with a Canva subscription. The role sits at the intersection of fundraising strategy, financial literacy, and visual communication. A strong pitch deck consultant combines strategy, story crafting, and design competence into a single engagement. Here is what the work looks like day to day:

  • Diagnosing narrative gaps. Before opening a design tool, the consultant maps your business model, product, and market dynamics to find where investor concerns will surface. Weak go to market logic, unclear TAM, unvalidated traction: these get flagged and addressed before they become deal breakers.
  • Constructing the investment thesis. The consultant builds the answer to four questions investors ask in sequence: why now, why this market, why your team, and why this specific ask. Slide order and framing follow from that logic.
  • Validating the financial model. Forecasts, unit economics, use of funds, and margins must align with the pitch deck narrative. A good consultant makes assumptions explicit and pressure tests them against what investors expect at your funding stage.
  • Crafting investor facing messaging. This means writing or rewriting slide copy, trimming data that distracts, and shaping the tone for the audience. An effective pitch deck typically consists of 10 to 20 slides; every slide must earn its place.
  • Visual communication and data visualization. Charts, competitive maps, product roadmaps, and consistent layouts serve clarity. Pitch deck design is the layer that makes complex financial data accessible, not decorative.
  • Coaching pitch presentations. Anticipating investor objections, rehearsing speaking points, and ensuring consistency between slides and what the founder says in the room. The final presentation is a live performance; the deck is the script.

Consultants helped clients raise over $3 billion since 2014, which underscores the scale of impact this role carries when done well.

Why Getting This Hire Right Changes the Fundraising Outcome

Hiring a pitch deck expert is not a nice to have. It is a strategic lever with measurable effects on your fundraising timeline and conversion rates.

  • Faster path to investor meetings. Consultants can reduce time to pitch readiness by 60%. A more coherent, investment oriented deck eliminates stall points and reduces follow up questions.
  • Less founder time burned on rework. Pitch deck consultants can save founders 70 to 130 hours in preparation. That time goes back to running the business, closing customers, and building the product.
  • Higher investor engagement. 82% of startups that outsourced pitch deck creation reported higher investor engagement. A professionally structured deck signals preparation and seriousness.
  • Stronger credibility in regulated or competitive sectors. Clean logic, realistic financial projections, and professional visuals reduce the "risk discount" investors apply to early stage companies. 74% of startups raising over $10 million credit their success to a professionally designed pitch deck.

Scoping the Role Before You Start Hiring

What to Define Internally Before Opening the Search

Hiring without clarity on scope is how budgets evaporate. Before writing a job description or contacting our talent network, answer three sets of questions.

Project Scope and Requirements

Do you have an existing deck that needs restructuring, or are you starting from scratch? How many slides? Which sections are critical: market opportunity, traction metrics, competitive landscape, team, financial projections? Will you need multiple versions for different investor types (angel investors versus venture capital firms)? What deliverables beyond slides do you need: Q&A documents, a one pager, a business plan summary? Pitch decks must clearly present market opportunity and financial projections; scope the project accordingly.

A successful pitch deck should focus on key ideas rather than numerous separate points. Clarify whether consultants provide a complete package or specialized services, so you know exactly what you are buying.

Team Structure and Engagement Model

Define who the consultant will work with: founders, finance, product, legal. Decide how much autonomy the consultant gets versus how much internal input is required. Set the reporting structure. Establish the review cadence: iterative feedback loops or milestone gates. Startups using iterative feedback loops report a 30% higher success rate in fundraising.

In House vs. Dedicated Remote Talent

An internal hire builds institutional knowledge and alignment. A freelance pitch deck consultant or remote specialist offers flexibility, faster ramp, and specialized fundraising experience. A pod model (narrative strategist plus designer plus financial modeler) gives full coverage without hiring three people. Consider time zone overlap, communication overhead, and how many decks you will need over the next 12 months.

Writing a Job Description That Attracts the Right Pitch Deck Consultant

A vague posting attracts vague candidates. Four elements separate a standout job description from a generic one:

  • Mission. State the outcome, not just the task. "Build investor ready pitch decks that convert seed and Series A target investors" is specific. "Help with presentations" is not.
  • Stack and context. Specify your funding stage, industry (healthcare, fintech, AI/ML), complexity level, and what materials already exist. Industry familiarity is important when hiring a pitch deck consultant; a consultant who has built startup decks in your space will ramp faster.
  • Team structure. Describe who they will collaborate with and whether they lead the pitch deck creation process or support it. Clarify if design is handled internally or if the consultant owns pitch deck design as well.
  • Growth and impact. Define success metrics: number of investor introductions, term sheets, capital raised, deck turnaround time. This attracts consultants with a proven track record, not just portfolio polish.
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How to Find, Vet, and Onboard the Right Consultant

Screening Candidates Who Can Actually Deliver

Where to Source Candidates

Use multiple channels. Trusted pitch deck consulting services firms and boutique agencies are one source. Referrals from VCs, accelerators, and startup advisors are another. Vetted talent marketplaces and senior freelancers with fundraising experience round out the list. For enterprise or regulated industries, prioritize candidates with demonstrated domain knowledge. Our consulting services team can also help match you with specialists who understand investor psychology across sectors.

What Matters Beyond the Resume

Resumes tell you what someone claims. Vetting tells you what they can do. Here is how to separate top pitch deck consultants from average ones:

  • Portfolio with outcomes. Check if the consultant's portfolio includes decks that successfully raised capital. Review portfolios critically by focusing on narrative clarity, not just visual appeal. A compelling pitch deck that led to a closed round matters more than a pretty one that never shipped.
  • Sample task. Give candidates your existing deck (or a mock) and ask them to audit it. A strong pitch deck consultant will explain substantive narrative problems before design issues. This test separates strategic thinkers from slide decorators.
  • Scenario interview. Present a challenge: a competitor just raised $50M, your revenue model shifted, or your market size assumptions changed. Ask how they would adjust the investment story, what metrics to add, and how to address investor concerns. This reveals analytical depth.
  • Reference checks. Obtain detailed references from previous clients about a consultant's performance. Look for evidence of successful outcomes from past clients when evaluating consultants, not just satisfaction scores.

Consultants should challenge assumptions and identify market weaknesses during the engagement. If a candidate agrees with everything you say during the interview, that is a warning sign.

Setting Up the First 90 Days for Success

A structured ramp prevents wasted weeks and misaligned deliverables. Engagements should begin 1 to 3 months before investor outreach efforts.

Days 1 through 30: Discovery. The consultant conducts deep dives into your business model, financials, team, and market position. This phase covers alignment on the investment thesis, target investor profile, and slide structure. Communication norms get established. Consultants should prioritize a deep understanding of your business model and market before producing anything. Provide documentation: style guides, financial model templates, past deck archives, and competitive landscape analysis.

Days 30 through 60: Build and iterate. The first full version of the deck comes together. Content refinement and pitch deck design happen in parallel. Rehearsal sessions begin. If possible, collect early feedback from advisors or friendly investors and adjust. Expect the engagement duration to be 2 to 4 weeks for the core build; complex cases may extend further. Traction metrics are essential, even for pre revenue startups, so ensure these are surfaced and validated during this phase.

Days 60 through 90: Finalize and prepare. The final deck gets locked for different use cases (board presentations, angel investors, venture capitalists). The founder reaches comfort with the narrative. A process for updating the deck with new metrics gets established. Evaluate retention: is this consultant becoming a trusted partner for subsequent rounds?

Red Flags, Green Flags, and Why SoftDoes Delivers

What to Watch For During Interviews and Early Engagement

Red flags that should stop the process:

  • The consultant talks exclusively about design aesthetics and cannot articulate investor concerns, financial narrative, or objections handling. A weak story is a common reason pitch decks fail; the consultant must fix the story first.
  • Heavy reliance on generic templates. No tailored narrative per industry or stage. If every client gets the same 12 slides with swapped logos, walk away.
  • No proof of capital raised or improved investor engagement. Over 40% of startups fail due to lack of market need; your consultant should be stress testing that question, not ignoring it.
  • Vague process, unclear milestones, slow response, and no structured feedback loops. If the engagement feels loose before it starts, it will not tighten later.

Green flags that indicate senior level capability:

  • Can share before and after decks with measurable outcomes: funding amounts, investor conversion rates, meeting acceleration. Consultants should be able to illustrate your business model and value proposition clearly.
  • Asks tough questions during discovery. Wants your assumptions, growth levers, customer acquisition costs, and thorough market research. Does not accept the founder's narrative at face value.
  • Demonstrates domain experience in your product category or market. Pitch deck consultants should possess proven startup fundraising experience, and a track record in your industry accelerates the entire engagement.
  • Offers a structured process: discovery, strategy, narrative, design, coaching, revisions, version control, Q&A prep. Investors appreciate a clear narrative strategy in pitch decks; the process that creates it should be equally clear.

How SoftDoes Gives You an Operational Advantage

SoftDoes is a North America focused talent delivery partner. Rather than handing you a lone freelance pitch deck consultant and hoping for the best, SoftDoes provides access to carefully vetted senior talent through a team delivery model.

The pod model pairs a narrative strategist with a pitch deck designer and a financial modeler working as a unit. This eliminates the gaps that appear when one person tries to cover strategy, design, and financial projections alone. Consultants should tailor pitches based on the specific investor's focus and interests; a pod structure makes that possible across multiple investor types simultaneously.

Replacement and scaling guarantees remove the risk of a bad hire. If a consultant is not the right fit, SoftDoes replaces them. If your needs grow (multiple rounds, new markets, board presentations), the team scales. Flexible engagement models range from a single specialist to a full pod, with milestone based payment structures that align cost with progress.

Customized pitch decks can increase funding by 40% for climate tech startups, a figure that reflects the broader impact of tailored, industry aware pitch deck consulting. SoftDoes brings that level of customization through consultants who have operated in AI/ML, cloud infrastructure, regulated sectors, and enterprise SaaS.

Take the Next Step

If you are preparing for a fundraise and need a pitch deck consultant who brings investor positioning, financial rigor, and persuasive presentations under one engagement, SoftDoes can match you with the right specialist within days. Contact us to schedule a discovery call, scope the project, and get moving toward an investor ready pitch deck that converts.

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