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Hire remote Portfolio Manager

Discover developers that match your project requirements.

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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What our Portfolio Managers can build

Not sure which engagement model fits?

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How to hire a Portfolio Manager

01
BROWSE PROFILESRIGHT NOW

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

02
Interview1-3 DAYS

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

03
OnboardWEEK ONE

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

US VS. THE DATABASE

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

Frequently Asked Questions

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

How long does it take to hire a Portfolio Manager through SoftDoes?

Traditional in house searches for senior portfolio managers with niche experience often take four to eight weeks from job posting to signed offer. SoftDoes compresses this timeline significantly because candidates are pre vetted and maintained within an active talent network. The average time to match a portfolio manager is under 24 hours for initial candidate presentation, with full onboarding typically completed within two to four weeks depending on your internal processes and the complexity of the engagement.

What does it cost to hire a Portfolio Manager?

Cost varies based on seniority, domain expertise, and engagement model. In the US, base compensation for enterprise portfolio managers generally falls between $92,500 and $135,500 annually, with senior profiles handling large, mission critical, or compliance heavy portfolios commanding $150,000 or more. On top of base salary, factor in benefits, bonuses, and overhead. Investment managers often charge an Assets Under Management fee averaging around 1% in financial contexts. For dedicated or contract talent through SoftDoes, rates reflect the candidate's seniority and the chosen engagement model, with transparent pricing and no hidden fees.

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

SoftDoes offers three primary models. A full time dedicated portfolio manager embedded in your organization provides continuity and deep context. A contract engagement offers flexibility for fixed term initiatives or portfolio management projects with defined scope. A pod model pairs the portfolio manager with supporting leads (engineering, design, data) for larger transformations needing multi strategy execution engines and cross skill coverage. Each model has trade offs around continuity, flexibility, and scale, and SoftDoes helps you choose the right fit based on your current portfolio size and growth trajectory.

How do you ensure time zone alignment with a Portfolio Manager?

Time zone alignment is built into the matching process. SoftDoes requires at least partial overlap hours, typically two to four hours per day, between the portfolio manager and your engineering or product leadership team. During interviews, candidate location and schedule flexibility are explicitly discussed. The remote model includes asynchronous communication protocols, overlapping meeting windows, and shared dashboards so that work progresses smoothly regardless of geographic distribution. This is especially important for organizations needing ongoing coordination across strategy development, performance optimization version control, and stakeholder reporting.

How does SoftDoes technically vet a Portfolio Manager?

Vetting goes well beyond resume review. Each candidate undergoes a structured evaluation covering past portfolio case examples with documented outcomes, a deep technical interview assessing frameworks and toolsets, a strategic alignment assessment tied to your domain and business context, a scenario based task requiring real world prioritization and resource allocation decisions, and a stakeholder communication skills evaluation. Domain experience in regulated versus unregulated industries is assessed, and reference checks focus specifically on impact delivered rather than tenure alone. Candidates should demonstrate proficiency with Bloomberg and Excel modeling or equivalent tools, and performance records are reviewed against recognized standards.

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

SoftDoes provides replacement guarantees. If the portfolio manager is not the right fit within the agreed evaluation period, a replacement is provided at no additional cost. Scaling up means adding specialists, supporting leads, or a full pod to expand coverage across your portfolio. Scaling down may involve reassigning or sunsetting parts of the leadership role as your needs evolve. Because flexible engagement is built into every agreement, transitions are handled with minimal disruption to your teams and ongoing initiatives. You are never locked into a structure that no longer fits your business.

How to Hire a Portfolio Manager

Hiring the wrong portfolio manager costs more than a bad salary decision. It stalls strategic initiatives, misallocates resources across your portfolio, and erodes stakeholder confidence at the leadership level. This guide walks you through everything you need to know: what the role actually involves, how to define your hiring needs, where to find and vet qualified portfolio managers, and how to onboard them for lasting impact.

What a Portfolio Manager Really Does and Why It Matters

The Evolving Role: What a Portfolio Manager Actually Does in Practice

A portfolio manager specializes in overseeing multiple programs, products, or projects to ensure an organization invests its limited resources into the right initiatives. In a software or IT services context, this means governing everything from cloud migration and AI/ML solutions to UX redesigns, legacy modernization, and compliance driven work. The ability to construct a portfolio goes beyond just picking securities or selecting individual projects. It requires a strategic lens that balances value, risk, cost, and organizational capacity across an entire book of work.

Investment selection should focus on repeatable processes rather than just historical returns, and the same principle applies here. A strong portfolio manager builds frameworks that can be applied consistently, not one off decisions based on intuition alone.

Here are the core daily tasks and skills you should expect from a qualified portfolio manager:

  • Portfolio intake and prioritization: Filtering all proposed projects or product ideas and scoring them based on business value, risk, strategic alignment, technical debt, and regulatory requirements. Portfolio managers assess objectives and model risk adjusted returns to determine where effort should flow.
  • Resource capacity planning and allocation: Matching engineering, design, data, AI/ML, and DevOps capacity to initiatives. This includes digital asset allocation across teams and managing cross functional teams to balance demand against actual bandwidth.
  • Lifecycle governance and stage gate management: Defining MVP, pilot, launch, refresh, and sunset phases. Deciding when to continue, pivot, or terminate work. This mirrors how a financial advisor typically focuses on portfolio construction using frameworks like mean variance optimization, but applied to project lifecycles.
  • Performance tracking and metrics reporting: Tracking KPIs such as time to market, delivery predictability, cost variance, and value delivered. Performance evaluation should include risk adjusted returns and performance consistency. Strong candidates use tools like Bloomberg and Python for analysis in financial contexts, and analogous dashboards and platforms in IT portfolio management.
  • Risk management and dependency oversight: Identifying cross team or cross product dependencies, technical debt, and regulatory risk. Risk management includes capital preservation and portfolio diversification, principles that translate directly into IT governance as managing downside risk across a multi asset portfolio of initiatives.
  • Stakeholder alignment and communication: Working with product leads, engineering managers, compliance, and finance to translate technical status into business outcomes. Effective communication is essential for explaining complex financial concepts clearly to stakeholders, and the same applies when a portfolio manager interprets delivery data for executive audiences.

The demand for technological fluency is increasing in the portfolio manager role. Whether the context is investment management or IT portfolio management, today's portfolio managers must be comfortable with data driven investment management approaches, financial models, and portfolio construction platforms.

Why Hiring the Right Portfolio Manager Is a Strategic Priority

Hiring a qualified portfolio manager requires defining your financial goals, but the impact extends far beyond any single initiative. Here is what a strong hire delivers:

  • Improved delivery predictability: Organizations with mature portfolio management practices consistently deliver projects on time and within budget at significantly higher rates than those without structured governance. Candidates should have documented performance against benchmarks, and performance records should comply with Global Investment Performance Standards wherever applicable.
  • Higher returns on investment: Better prioritization means fewer resources wasted on low value work. An effective investment process should be clear and repeatable, ensuring capital flows to the initiatives most likely to generate measurable business outcomes.
  • Reduced cost overruns and redundant work: By identifying overlap, pruning low value efforts, and conducting a focused portfolio review, a portfolio manager eliminates waste and sharpens resource allocation. This is the same discipline behind tactical asset allocation in financial contexts.
  • Greater strategic agility: As markets, regulations, and technology shift, strong portfolio governance allows enterprises to reprioritize without chaos. Successful managers continuously update their worldview and adapt strategies to changing market conditions, a trait equally critical in IT and in managing investment portfolios.

How to Prepare Before You Open the Role

Defining Your Needs Before You Hire

Before posting a job or reaching out to your talent network, invest time in internal alignment. The clearest job descriptions and the best candidate conversations come from leaders who have already answered three foundational questions.

Project Scope and Requirements

Map out the kinds of initiatives in your portfolio. Are you running cloud migrations, AI/ML rollouts, UX redesigns, compliance projects, or all of the above? Determine the size, complexity, and risk level of each. Define the metrics your portfolio manager must drive: reduction in time to market, improved system reliability, better cost variance, or customer satisfaction. This mirrors how freelance portfolio managers assess objectives and model risk adjusted returns before building an investment strategy. You need the same rigor when scoping the role.

Team Structure and Engagement Model

Decide whether the portfolio manager will lead a single product domain, multiple product lines, or oversee programs spanning engineering, data, design, and AI. Clarify whether they will directly manage staff or coordinate through project and product managers. Define their reporting line (CPO, CTO, COO) and decision rights over funding, roadmap, and outcomes. The collective team expertise around them matters as much as their individual capability.

In House vs. Dedicated Remote Talent

In house hires offer tighter control, faster alignment, and cultural immersion. Remote or dedicated hires bring cost leverage and access to senior talent that may not exist locally. Remote portfolio manager jobs have become increasingly common, and the model works well when communication cadences, overlap hours, and governance structures are clearly defined. SoftDoes provides vetted senior candidates and full pods with guarantees for remote setups, giving you the benefits of both worlds through flexible engagement models.

Crafting a Job Description That Attracts Senior Talent

A standout job description for portfolio manager jobs must cover four elements. Do not default to a generic template. Senior candidates evaluate the role as much as you evaluate them.

  • The mission: Why does this portfolio manager matter to your company right now? Link the role to your business strategy. Whether you are modernizing legacy systems, building out a complete investment strategy aligned with growth targets, or scaling new product lines, make the "why" compelling.
  • The stack and context: Specify the technologies, platforms, and types of projects they will manage. Cloud infrastructure (AWS, Azure, GCP), AI/ML models, data platforms, web app development, mobile app development, or scalable SaaS systems tailored to regulated industries. Include domain specifics like compliance requirements in finance or healthcare.
  • Team structure and decision rights: Describe who they will collaborate with and what authority they have. Will they lead a pod? Influence funding decisions? Own the roadmap? Senior candidates care deeply about scope of influence.
  • Growth and impact: Define what success looks like. Will they own delivery throughput improvements, technical debt reduction, or new product launches? Strong freelance portfolio managers and full time candidates alike want to know what they are building toward and what ownership they will have.
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How to Find, Vet, and Onboard the Right Portfolio Manager

The Hiring and Vetting Process

Sourcing Strategy

Use a blend of channels: senior talent networks, referrals, specialized recruiters, and platforms portfolio managers actively use. Evaluate both local and remote candidates depending on timezone overlap and engagement model. Most freelance portfolio managers operate through established networks or vetted marketplaces rather than generic job boards. Compare standard outbound recruiting (slow, high volume, low precision) with curated talent networks (faster, pre vetted, higher signal to noise ratio). The average time to match a portfolio manager through SoftDoes is under 24 hours, compared to the typical four to eight week cycle of traditional in house searches.

Portfolio managers typically require 7 to 12 years of experience. A bachelor's degree in Finance or Economics is often required, and CFA charterholders are highly regarded in portfolio management. CFA charterholders are strong signals of candidate qualifications, though in IT portfolio management, equivalent certifications like PfMP or deep agile governance experience carry similar weight.

Vetting Beyond the Resume

Do not rely on credentials alone. Investment advisers should be evaluated on registration, qualifications, regulatory actions, and customer complaints. The same rigor applies to any portfolio management hire. Here is a four stage vetting framework:

  • Technical and strategic screening: Ask candidates to walk through multiple past portfolios. How did they decide what to build and what to kill? How did they assess trade offs of value versus risk versus cost? Look for frameworks and consistency. Strong candidates demonstrate proficiency with Bloomberg and Excel modeling or equivalent analytical tools. Analytical and quantitative ability is necessary for evaluating financial statements and performance.
  • Practical, real world task: Present a scenario. You have competing priorities: a cloud migration, an AI initiative, a UX rebuild, and a regulatory compliance project. Resources are limited and business priorities are shifting. Ask them to prioritize, estimate risk, allocate resources, and justify every decision. This reveals whether their approach to model portfolio construction is disciplined or improvised.
  • Analytical and problem solving interview: Examine how they use data. KPIs, dashboards, forecasting, risk modeling, dependency mapping. Do they have experience with cost accounting, financial analysis, technical debt quantification, and reliability metrics? Can they explain complex strategy in plain language? Performance attribution is done against benchmarks like the S&P 500 in finance; in IT, the equivalent is tracking delivery metrics against forecasted outcomes.
  • Culture fit and leadership: Assess their communication with nontechnical stakeholders, ability to manage conflict, drive change, influence without formal authority, and coach teams. Emotional discipline can separate average managers from exceptional ones. Emotional resilience is important for portfolio managers during periods of underperformance, whether that means a market downturn or a string of delayed product launches. Transparency about conflicts of interest is essential for portfolio managers in any context.

A strong preference for managers who have meaningful personal investments in the strategies they manage is important. In IT terms, this translates to candidates who have real ownership and accountability for the outcomes they drive, not just process facilitation.

Setting Your New Hire Up for Success: The 30/60/90 Day Plan

Practical steps to ensure the new hire ramps up fast without friction:

  • First 30 days (Immersion): Introduce them deeply to the existing portfolio. Current projects, historical successes and failures, tech stack, business strategy, stakeholder maps. Arrange shadowing sessions with C level leaders, product leads, and engineering. Define the key metrics and dashboards they will own. This is the equivalent of understanding the advisory agreement and disclosure documents before opening an account.
  • Days 31 through 60 (Guided ownership): Start them leading small decisions. Intake of new initiatives, participation in prioritization meetings, ownership of cross team dependencies or risk items. Gather feedback from peers and leadership and adjust expectations. Freelance portfolio managers can produce risk reports and performance reviews at this stage, and your full time hire should be doing the same.
  • Days 61 through 90 (Full ownership): They lead the portfolio roadmap planning, resource allocation, and performance reviews. Establish a regular cadence of reporting to leadership. Identify quick wins and clear existing bottlenecks. They deliver investment policy statements and asset allocation models (or their IT equivalents: portfolio governance documents, resource allocation frameworks, and strategic roadmaps) with complete post launch support for each decision.

Retention strategy matters from day one. Offer a clear career path (head of portfolio, director of strategy), recognize impact transparently, invest in continuous development (certifications, workshops on agile portfolio management practices), and guarantee leadership buy in and support.

Making the Right Decision

Red Flags and Green Flags When Evaluating Portfolio Manager Candidates

Red flags to watch for:

  • Experience limited to individual projects or programs, with no exposure to multiple interdependent portfolios or product lines. A freelance project manager who has only run single workstreams is not the same as a portfolio manager.
  • Vague or ad hoc decision frameworks. If a candidate struggles to explain why they chose one initiative over another beyond "gut feel," they lack the rigor required for strategy development at the portfolio level.
  • Poor communication with nontechnical stakeholders. Inability to translate market research, delivery status, or technical risk into business language is a dealbreaker. The best portfolio managers translate market research into actionable executive insight.
  • No ownership of outcomes. Candidates who live in execution mode without working upstream on prioritization, governance, or strategic alignment will not deliver the impact you need. Portfolio managers should demonstrate documented performance against benchmarks, not just activity reports.

Green flags that signal senior capability:

  • Demonstrated experience pruning portfolios: terminating initiatives, shedding technical debt, optimizing cost versus value. This is the portfolio management equivalent of rebalancing investment portfolios to reflect current conditions.
  • Strong, repeatable decision frameworks: scoring models, value versus risk matrices, data dashboards, dependency mapping, and thematic portfolio design backtesting where applicable. An effective investment process should be clear and repeatable, and the same standard applies here.
  • A proven track record of improving delivery predictability (on time, on budget, quality) and driving strategic change. Review portfolio depth and ask for specific examples with measurable results.
  • Experience with regulated industries, compliance, and domain complexity relevant to your business. Whether it is finance, healthcare, or energy, domain fluency accelerates time to impact. Verify that the individual or firm is a Registered Investment Advisor with the Securities and Exchange Commission if operating in a financial advisory or analytical capacity.

Why Partnering with SoftDoes Gives You an Edge

SoftDoes is a North America focused software engineering and talent delivery partner serving clients across the US and Canada. Instead of running a months long search or gambling on unvetted candidates, you get access to carefully vetted senior talent with proven experience in portfolio management, project management, and strategy execution.

Here is what the partnership delivers:

  • Vetted investment professionals and IT portfolio leaders: Every candidate goes through a multi stage vetting process covering technical screening, strategic alignment, scenario based tasks, and culture fit.
  • Team delivery model: Unlike isolated freelance portfolio managers operate, SoftDoes provides continuity through knowledge transfer, documentation, and collective team expertise. You are not dependent on a single individual.
  • Replacement and scaling guarantees: If the fit is not right, SoftDoes provides replacement within an agreed period. Need to scale up? Add specialists or a full pod. Need to scale down? Reassign or sunset leadership duties without disruption.
  • Flexible engagement models: From a single dedicated specialist to a complete pod with supporting leads, choose the model that matches your growth stage and portfolio complexity.
  • Regulatory and domain experience: SoftDoes has experience serving clients in regulated industries, bringing familiarity with compliance, auditability, and governance requirements.

Ready to Hire a Portfolio Manager?

Stop burning weeks on unvetted candidates and misaligned hires. Whether you need a dedicated portfolio manager or a full team to drive scalable digital solutions across your organization, SoftDoes can match you with qualified portfolio managers ready to deliver results.

Schedule a discovery call today. Tell us about your portfolio, your challenges, and your goals. We will present vetted, senior candidates matched to your needs, typically within days.

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