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

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

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

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

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

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

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

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

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

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

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

Andrea M.
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 Pricing Consultants can build

Not sure which engagement model fits?

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

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RIGHT expert, FASTER

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How to hire a Pricing 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 Pricing Consultant through SoftDoes?

Most engagements move from initial discovery to a deployed pricing consultant within two to three weeks. We achieve this speed because our talent network consists of pre vetted senior experts who have already passed rigorous technical evaluation, including live problem solving, architecture review, and cross functional fit assessment. Traditional recruitment cycles for comparable roles typically run two to four months when you factor in sourcing, screening, interviewing, negotiation, and onboarding. Our process compresses that timeline dramatically because the vetting work is already done. Factors that can accelerate deployment include clearly defined scope, existing stakeholder alignment, and available pricing data. Factors that may extend the timeline include highly specialized regulatory requirements or the need for niche industry expertise across unusual market dynamics.

What does it cost to hire a Pricing Consultant?

Independent pricing consultants in the North American market typically charge $150 to $200 per hour at the median for established senior work, with niche or senior transformation experts commanding $300 to $500 per hour or higher. Day rates for experienced mid career consultants range from $1,200 to $3,000, while senior transformation or strategic roles often run $3,000 to $5,500 per day. Monthly retainers for embedded advisory typically fall between $4,000 and $18,000 depending on scope. Beyond the consultant's hourly rate, account for the total cost of ownership: internal stakeholder time, data cleanup, tool licensing, integration work, and change management. SoftDoes structures engagements to maximize profitability of the investment, ensuring that the total cost delivers measurable return rather than open ended spend. Value based pricing arrangements, where the consultant's compensation ties to measurable margin uplift or revenue growth, are less common but represent a compelling model when outcomes are clearly defined.

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

Three primary models serve different client requirements. A dedicated hire or fractional embedded role works best when you are building internal pricing capability and need continuous iteration with deep cross departmental ownership. A project based engagement (audit, pricing reset, packaging overhaul) offers faster deployment and more budget certainty, ideal when the problem is clearly scoped. The trade off is that after the project ends, adoption can drop without ongoing ownership. A pricing software plus professional services model suits companies with weak existing tooling, though the tool without expert implementation and governance frequently fails to deliver results. SoftDoes supports all three models and helps you select the right one based on your growth stage, budget cycle, and the scale of your pricing consulting needs.

How do you ensure time zone alignment with a Pricing Consultant?

SoftDoes focuses on North American talent deployment, meaning consultants operate within US and Canadian time zones. For clients with distributed teams, we ensure overlap of core working hours (typically a minimum of six hours of shared availability) and establish communication protocols during onboarding. Real time collaboration with sales teams, finance, and product leadership is critical for pricing work, so we prioritize consultants who can participate in live stakeholder meetings, respond to urgent deal desk requests, and maintain the cadence that enterprise pricing governance demands.

How does SoftDoes technically vet a Pricing Consultant?

Our vetting framework goes well beyond resume review or tool checklists. Every candidate completes a live problem solving exercise using a realistic (anonymized) enterprise scenario that tests segmentation thinking, pricing lever identification, and analytical rigor. They undergo an architecture review where they must demonstrate how they would integrate pricing logic into a real tech stack, including CPQ, billing, cloud cost, and usage metrics. We assess communication under pressure through simulated stakeholder alignment scenarios where sales, finance, and product interests conflict. Finally, candidates are evaluated for cross functional culture fit with product, engineering, and finance leadership. Verification successful candidates are those who demonstrate not just technical pricing analysis skill but also the strategic judgment, stakeholder management, and system design thinking required to deliver measurable results in complex enterprise environments.

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

SoftDoes offers a zero risk replacement guarantee. If the deployed consultant does not meet performance expectations or align with your team's working style, we replace them immediately at no additional cost to you. We also build flexibility directly into engagement structures so you can scale capacity up or down as project demands, market trends, and budget cycles shift. This eliminates the sunk cost trap of traditional hires, where a misaligned FTE can take months to identify and even longer to replace, burning budget and momentum the entire time. Our delivery oversight includes regular performance reviews and adjustment mechanisms so issues surface early, before they impact your pricing program or customer loyalty.

The Executive Guide to Hiring a Pricing Consultant

A single quarter with the wrong pricing consultant burns budget and bleeds margin you never recover. A single quarter with the right one can unlock millions in revenue uplift, compress decision cycles, and permanently raise your pricing capability. This playbook gives you a field tested strategy to define, vet, and onboard top tier pricing consultant talent, built from real engagements across enterprise software, regulated industries, and high growth scale ups.

What a Pricing Consultant Actually Owns (and Why Most Executives Underestimate the Role)

Senior Pricing Experts vs. Glorified Spreadsheet Operators

Most hiring managers confuse a pricing consultant with someone who builds Excel models and presents slide decks. That confusion is expensive. A senior pricing consultant owns the full revenue architecture, not just the analysis layer. Here is what their daily operational reality looks like:

  • End to end pricing architecture ownership: From customer segmentation and value curves to cost to serve modeling, discount logic, and packaging design, they map the trade offs between scaling product adoption and protecting margin. They do not wait for instructions; they drive the pricing strategy.
  • Governance and workflow design: They establish who approves discounts, define price change cadence, build feedback loops with sales teams and finance, and embed pricing governance directly into CPQ, billing, and quoting systems. Without this, pricing changes die in email threads.
  • Quantitative modeling and advanced analytics: Elasticity models, willingness to pay measurement, price sensitivity analysis that assesses how price changes affect demand, regression or ML driven feature pricing, and scenario forecasting. Consultants use advanced analytics to identify pricing opportunities your team cannot see in a dashboard alone.
  • Stakeholder integration and change management: Aligning product roadmap, sales incentives, finance reporting, legal, and customer success around a unified pricing program. Effective pricing strategies require alignment with internal stakeholder goals, and a senior consultant knows how to manage different stakeholders with competing priorities.
  • Trade off decision ownership: Balancing growth vs. margin, list price vs. discount, perceived value vs. cost to serve, implementation speed vs. measurement accuracy. Top pricing experts possess strong strategic thinking skills and treat pricing as a continuous process of optimization based on market conditions, never a one time project.
  • System thinking and scalability: Designing modular pricing logic that integrates cleanly into your tech stack (ERP, CPQ, product analytics, billing) and accounts for future shifts in cloud cost, AI inference pricing, or usage based models. They reduce technical debt in pricing tooling rather than compound it.

The Financial and Operational Upside of Getting This Hire Right

The business case for hiring the right pricing consultant is not theoretical. Here are the concrete ROI vectors:

  • Margin rescue and optimization: Reducing margin erosion from vendor inflation pass through delays, low margin SKUs, and uncontrolled price overrides. One documented case showed a manufacturer's margin collapsing from roughly 35% to under 20% purely from weak pricing execution and lack of governance. The right consultant reverses that trajectory. Pricing optimization can lead to significant increases in profit margins when the levers are identified and acted on.
  • Revenue unlocking: Properly packaging integrations, deploying value based pricing, restructuring tiers, and reducing unnecessary discounting can drive 15% to 30% deal size gains. Dynamic pricing adjusts prices in real time based on demand, and subscription model pricing creates consistent cash flow for businesses while improving customer retention. B2B pricing strategies enhance negotiation power and deal profitability across complex sales channels.
  • Faster deployment and decision cycles: Compressing the time from business idea to price change to execution and measurement. An enterprise product distributor generated over $21M in incremental revenue within 25 days by deploying analytic and execution frameworks. Defined milestones improve project outcomes by clarifying targets and accountability.
  • Lower technical debt and operational drag: Replacing manual tools, fractured approval systems, and unlinked workflows. In one distribution case, pricing overrides dropped 45%, pricing variance dropped roughly 70%, and break even was reached within six months. Clear deliverables from consultants should be actionable rather than theoretical.
  • Risk mitigation: Over discounting, regulatory violations in healthcare or finance pricing, competitive undercuts, and pricing arbitrage all represent preventable losses. Pricing consultants can help establish discounting guidelines to prevent revenue leakage across your entire customer base.

Before You Post a Single Job Listing

Audit Your Technical Constraints First

Hiring before you understand your own pricing infrastructure is a guaranteed way to waste the first 90 days. Before you search for candidates, answer the following questions internally.

Architecture and Debt Audit

What problem must this hire solve first? Identify your existing pricing constraints: what technology, reporting, and tooling exists today? Where do manual or legacy systems (Excel, email chains, ad hoc approvals) cause delay? How clean is your SKU, product, and customer data? How is cost tracked across cloud, infrastructure, and operations? Critically, pinpoint the biggest pain point. Is it capturing value because competitors undercut you? Lost margin because of discount leakage? Inability to forecast elasticity? Systemic delays in pricing execution? Utilizing data helps identify pricing trends and customer behaviors accurately, but only if you know where your data lives and how reliable it is.

Team Dynamics and Autonomy Level

Decide where pricing sits organizationally: inside product, finance, revenue operations, or as a shared function. Define the authority this consultant will have. Will they own pricing rules outright? Can they reject sales discounts? Adjust packaging? Change list price on a defined cadence or only propose changes to a committee? Will they lead a dedicated pod, serve as an embedded specialist, or function purely as advisory? Without explicit decision making authority, even the most talented pricing consultant becomes a report generator.

Deployment Model Dynamics

Weigh the trade offs between an in house FTE, a fractional embedded role, a project based contractor, or a dedicated remote expert provided through a pre vetted talent network. Each model carries different implications for speed, cost, authority, and sunk risk. In house hires bring continuity but higher fixed cost and slower ramp. Unmanaged freelancers bring speed but zero accountability. The model that consistently delivers for enterprise clients: senior, pre vetted experts with engineering led delivery oversight and a replacement guarantee, deployed as an extension of your team.

Engineering the Ideal Profile, Not a Generic Job Spec

Generic job descriptions attract generic candidates. Craft your profile around four essential components:

  • Mission and core outcome: The consultant should be accountable for measurable outcomes (margin uplift percentage, revenue growth targets, reduction in discount leakage), not for producing reports. Pricing consultants help align pricing with broader business goals, so the mission must tie directly to company level OKRs.
  • Technical stack reality: Document what tools, systems, and data pipelines exist. CPQ, Salesforce, revenue analytics, BI stack (Looker, Power BI), data warehouse, feature flag tools, pricing software. You want someone who can assess the current state and design integration, not someone who only knows one tool.
  • Decision making authority: Specify which levers the candidate controls: discounting, promotions, list price changes, bundling, packaging. Without authority, even the best consultant is neutered. This clarity also signals to senior candidates that you are serious about empowering the role.
  • Growth trajectory and role evolution: Are you building a strategic pricing org? A leader of pricing within product strategy, reporting up to finance? Or is this a fixed advisory engagement? Candidates who want cumulative ownership will self select when the trajectory is clear. Also account for sector and regulation exposure: in finance, healthcare, or education, any consultant must understand compliance constraints and how to set prices within those boundaries.
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A Rigorous Vetting and Onboarding Framework

How to Separate Real Pricing Expertise from Interview Theater

Sourcing Reality

Traditional recruiters often produce specs packed with buzzwords ("pricing, strategy, senior") and surface candidates who lack systems experience or the right motivation. Better sources include specialist pricing consultancies with proven domain expertise, pre vetted independent experts from networks that specialize in enterprise consulting services, and case referrals from peers at companies that have executed successful pricing transformations. Hiring pricing consultants can improve revenue and market responsiveness, but only if the sourcing pipeline prioritizes depth of experience over keyword matching.

Technical Evaluation Pipeline

Do not rely on trivia questions or tool checklists. Test candidates with operational rigor:

  • Live problem solving: Present your actual (anonymized) SKU, product, or customer scenario. Ask them to sketch a segmentation approach and identify pricing levers you might not have considered. A strong methodology combines customer interviews, competitive analysis, and willingness to pay research. Watch for how they think, not just what they know.
  • Architecture review: Have them walk through how they would integrate pricing logic into your existing stack: CPQ, cloud cost tracking, usage metrics, billing. Be critical of data gaps they identify (or fail to identify). Pricing experts must understand customer behavior and market dynamics, and the architecture review reveals whether they can translate that understanding into system design.
  • Communication under pressure: Pricing touches many stakeholders with conflicting interests. Sales wants lower prices to close deals. Finance wants higher margins. Product wants adoption. Simulate an alignment meeting and assess how the candidate manages trade offs, pushes back when necessary, and builds consensus without sacrificing analytical integrity.
  • Cross functional fit: Get them in front of product, engineering, and finance leaders. Test alignment, culture, and their ability to challenge assumptions constructively. Effective pricing consultants use advanced analytics for decision making, but they also need to communicate findings to non technical buyers and executives.

The First 90 Days: A Structured Ramp to Measurable ROI

To guarantee immediate impact, structure the ramp with clear milestones. A good pricing expert approaches pricing as a continuous journey, and the 90 day protocol sets the foundation.

  • Days 0 to 30: Audit and Diagnostic. Full inventory of pricing data, current leakages, tool audit, and stakeholder map. The consultant delivers a priority list of 3 to 5 quick wins, identifies the largest sources of margin erosion, and documents existing pricing methodologies. Consultants analyze discounts and pricing structures to improve overall profit retention from the start.
  • Days 30 to 60: Pilot Implementation. Execute quick wins. Define measurement metrics. Build or refine dashboards for pricing analysis. Establish governance workflows and approval chains. Begin analyzing data across segments to validate initial hypotheses. Pricing strategies must adapt to different industry models and customer segments, and this phase reveals where your specific challenges lie.
  • Days 60 to 90: Structural Rollout. Deploy larger changes: packaging redesigns, discount policy overhauls, value based pricing models, dynamic pricing where appropriate. Embed new logic into systems. Ensure adoption across sales teams and account management. Measure goal impact against revenue, margin, and customer retention targets. Successful pricing consultants innovate in both pricing and product marketing, and by day 90, you should see that innovation translating into numbers.

Separating Signal from Noise in the Final Decision

Interview Signals: Red Flags vs. Green Flags

Red Flags

  • Tool obsession over problem solving: If a candidate's primary selling point is mastery of a specific pricing software platform rather than a deep understanding of pricing economics and business models, they are a tool operator, not a strategist. Tools follow process and data, not the other way around.
  • Management by spreadsheet alone: When the standard answer is "we will build you Excel models" with no plan for systemization, automation, or integration into your tech stack, walk away. This guarantees technical debt, not scalable pricing capability.
  • Abstract theory without domain proof: Comfort with "value based pricing" as a concept but no case studies, no metrics, no examples of implementation. Consultants should be able to implement pricing changes and provide ongoing support, not just theorize. Pricing consultants conduct competitor benchmarking to identify market opportunities, and candidates who cannot cite specific results from that work are a risk.
  • Conflict avoidance: A candidate who always seeks consensus or assures you "sales will agree" has never operated in a real enterprise pricing environment. Pricing inherently creates tension between growth and profitability, and a consultant who cannot navigate that tension will be overridden by every stakeholder with a louder voice.

Green Flags

  • Explicit trade off discussion: They articulate the tension between margin, volume, customer lifetime value, and churn. They understand that you lose some deals but raise overall profitability. They can speak to how innovative pricing strategies balance customer affordability and compliance in regulated markets.
  • Quantitative proof of work: They show elasticity modeling, willingness to pay analysis, cost to serve breakdowns, not just PowerPoint summaries. Pricing consultants utilize advanced data analytics and market research, and the best ones can walk you through their analytical framework in detail.
  • System and process awareness: They know technical constraints, integration dependencies, and data flows. They know what good pricing governance looks like and can describe how they have built it before. They understand that consultants help businesses transition from cost plus pricing to value based pricing, and they can map the operational steps to get there.
  • Honest failure narratives: They can narrate a project that delivered less than planned, explain what went wrong, and articulate what they learned. This signals maturity, self awareness, and the kind of intellectual honesty that prevents expensive mistakes on your engagement.

Why SoftDoes Eliminates the Typical Hiring Risk

SoftDoes exists to solve the exact problem this playbook describes. As a North America focused custom software engineering, data, and AI partner, we deploy battle tested senior pricing experts with engineering led delivery oversight. This is not a marketplace of unmanaged freelancers. Every consultant in our network has been vetted through the same rigorous technical evaluation pipeline described above: live problem solving, architecture reviews, communication under pressure, and cross functional fit assessment.

What this means operationally:

  • Rapid deployment: From requirement definition to a pricing consultant working on your systems within weeks, not the months that traditional recruitment demands.
  • Engineering led oversight: Structured project governance, quality standards, and risk mitigation built into every engagement. Your pricing program gets the same delivery rigor you expect from your engineering org.
  • Zero risk replacement guarantee: If the pricing expert is not the right fit, we replace them immediately at no additional cost. This eliminates the sunk cost problem that makes traditional hires so painful.
  • Flexible scaling: Scale pricing consulting capacity up or down based on project demands, budget cycles, and market conditions. Whether you need a dedicated hire for ongoing optimization or a focused project engagement for a pricing model overhaul, the model adapts to your reality.

Effective pricing strategies can create a sustainable competitive advantage, and SoftDoes ensures you have the talent to build that advantage without the recruitment nightmare.

Your Next Step

Every week without the right pricing consultant is a week of margin erosion, missed pricing opportunities, and compounding technical debt in your pricing systems. Penetration pricing helps aggressively gain market share, but only when executed by someone who understands your cost structure and customer needs deeply enough to avoid leaving money on the table.

The fastest path forward: book a technical discovery session with our architects. We will assess your current pricing infrastructure, define the ideal consultant profile for your specific challenges, and present vetted candidates within days. No commitment, no long procurement cycles. Just a direct conversation between operators who understand what is at stake.

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