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Hire remote Sdr Team Leadership Developer

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 Sdr Team Leadership Developers can build

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How to hire a Sdr Team Leadership Developer

01
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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
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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
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Internal responsibility
Flexibility
Long-term commitment
Operational Overhead
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Highest total cost

Frequently Asked Questions

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

How long does it take to hire an Sdr Team Leadership Developer through SoftDoes?

SoftDoes typically presents qualified, pre vetted candidates within one to two weeks of an initial discovery call. Because the talent network is continuously curated for sales development leadership roles, you skip the months of sourcing and screening that slow down traditional hiring. Once a candidate is selected, structured onboarding begins immediately with a clear 30/60/90 day integration plan, so your new SDR leader is contributing to team performance from the start rather than spending months getting up to speed.

What does it cost to hire an Sdr Team Leadership Developer?

Compensation for SDR leadership roles varies based on experience, scope, and engagement model. For SDR manager roles with up to two years of leadership experience, base salaries typically fall in the range of $100k to $140k, with on target earnings between $140k and $200k. More experienced leaders with three to five years in the role command higher compensation. Keep in mind that the true cost of building an SDR function extends beyond salary: tools, onboarding, ramp time, and turnover risk can effectively double the per seat investment. SoftDoes provides transparent pricing tailored to your engagement model, helping you optimize total cost of ownership while accessing senior caliber talent.

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

SoftDoes offers flexible engagement models designed to match your growth stage and sales operations needs. You can engage a single dedicated SDR leadership specialist for focused team management, a full pod that includes leadership plus supporting roles for larger operations, or a contract arrangement for interim needs during a permanent hiring search. Each model includes scaling flexibility, so you can adjust headcount and scope as your SDR team evolves without being locked into rigid commitments.

How do you ensure time zone alignment with an Sdr Team Leadership Developer?

SoftDoes is focused on serving clients across the US and Canada, and all talent in the network is aligned to North American time zones. This ensures your SDR leader is available during core business hours for coaching sessions, cross functional meetings with marketing and account executive teams, and real time pipeline reviews. For distributed SDR teams, SoftDoes can match leadership to the specific time zones where your reps operate, maintaining the responsiveness that effective SDR management demands.

How does SoftDoes technically vet an Sdr Team Leadership Developer?

Vetting goes well beyond resume review. SoftDoes evaluates candidates through a multi stage process that includes role play coaching simulations where candidates must diagnose and correct a rep's performance issue in real time, analytical exercises using actual SDR performance data to test diagnostic thinking, cross functional scenario assessments that reveal how candidates handle alignment challenges between sales and marketing, and in depth reference checks with former SDRs and account executives. High performing SDRs demonstrate emotional intelligence and active listening skills, and SoftDoes screens for these communication skills alongside operational discipline. Only candidates who demonstrate strong coaching ability, analytical depth, and proven measurable impact advance through the process.

What happens if the Sdr Team Leadership Developer isn't the right fit, or I need to scale up or down?

SoftDoes provides a replacement guarantee for every engagement. If the leader is not delivering the expected results or the cultural fit is not right, SoftDoes will present a qualified replacement at no additional sourcing cost. If your needs change and you need to scale up your SDR team or adjust the engagement model, SoftDoes handles the transition seamlessly. This removes the risk that typically accompanies leadership hires and gives you the confidence to move quickly without worrying about long term commitment to a single candidate.

How to Hire an Sdr Team Leadership Developer

Most companies promote their top performing SDR into a leadership role, only to watch pipeline quality collapse within a quarter. The right SDR team leadership developer transforms your sales development engine into a predictable, scalable revenue machine. This guide walks you through everything you need to know: what the role actually involves, how to define your requirements, where to find and vet candidates, and how to onboard for long term success.

What an SDR Team Leadership Developer Really Does (and Why It Matters)

The Daily Work Behind Effective SDR Leadership

The title "SDR team leadership developer" maps to roles like SDR manager, sales development manager, or SDR team lead. These are not glorified individual contributors. They own the people, process, and performance metrics that determine whether your sales pipeline thrives or stalls. An SDR team is often the engine of a company's pipeline, and the leader sets the pace.

Here is what this role looks like in practice:

  • Coaching and feedback loops. Running weekly one on one sessions and regular call reviews, helping sales development reps sharpen objection handling, messaging, and lead qualification. Continuous coaching should be the primary focus of SDR management activities, and 91% of sales managers believe coaching improves team performance.
  • Process design and optimization. Defining qualification criteria (SQL, SAO), outreach cadences, territory assignments, and clear SLAs between SDRs and account executives. Aligning SDRs and account executives on SLAs helps eliminate friction in lead handoffs.
  • Metrics, reporting, and forecasting. Tracking meetings booked versus held, pipeline generated, conversion rates, ramp time, and rep retention. Data driven judgment involves analyzing various metrics beyond activity counts, focusing on business outcomes over sheer activity volume.
  • Recruiting, onboarding, and ramp up. A significant part of an SDR leader's job is recruiting and talent identification. They build scalable systems for onboarding new reps, covering product knowledge and tech stack mastery, so new hires ramp faster.
  • Cross functional collaboration. Sales leaders must coordinate between Marketing and AEs to ensure smooth operations, tackling lead quality issues, improving handoffs, and aligning messaging with your ideal customer profile.
  • Resource allocation and scaling decisions. Determining how many SDRs to hire, evaluating in house versus dedicated remote talent, choosing tools, and balancing outbound sales motions with inbound. Leaders should avoid scaling headcount without addressing underlying system issues to prevent larger failures.

Why the Right Hire Is a Strategic Priority for Your Business

Hiring the right SDR team leadership developer is not a "nice to have." It directly shapes your revenue trajectory. Here are the concrete business benefits:

  • Predictable pipeline generation. A well run SDR team delivers consistent lead flow to your account executive team, reducing revenue volatility and improving sales pipeline health. Median pipeline generated per SDR is around $3 million per year under strong leadership.
  • Faster time to productivity. Average SDR ramp time is three to five months. Strong leadership with structured onboarding can compress this significantly, meaning each new SDR pulls weight sooner and your investment pays off faster.
  • Lower costs through reduced turnover. SDR work is subject to constant rejection, and turnover is expensive. Cultivating a resilient sales culture, celebrating small wins, and providing clear career paths keeps high performing SDRs engaged and reduces costly churn.
  • Scalable growth and systemization. Effective SDR leadership requires alignment of people, process, and metrics. The right leader builds playbooks, scorecards, and hiring pipelines that let you expand headcount or enter new verticals without chaos. Yet 64% of sales teams struggle with scaling challenges due to leadership gaps.

How to Prepare Before You Open the Role

Defining Your Needs Before You Hire

Before you post a job description or engage a talent network, invest time in getting your internal requirements airtight. Skipping this step leads to misaligned hires, wasted months, and frustrated teams.

Project Scope and Requirements

Start by documenting the specifics. How many SDRs will this leader manage? A typical manager to rep ratio ranges from 1:6 to 1:10. Define whether the role is purely managerial or a "player coach" who carries individual quota. Clarify the types of leads (inbound, outbound, enterprise, SMB), target accounts, verticals, and the maturity of your current tech stack.

Defining a clear ideal customer profile is crucial before hiring more SDRs. If your ICP is fuzzy, even the best SDR leadership developer will struggle to qualify leads effectively.

Team Structure and Engagement Model

Decide reporting lines, span of control, and whether leadership owns hiring and performance management. Will the leader build a team from scratch or optimize an existing internal team? Map out how this role interacts with revenue operations, marketing strategy, and customer success. 70% of sales leaders plan to expand SDR teams, so factor in your growth trajectory.

In House vs. Dedicated Remote Talent

For many organizations, remote SDR leadership opens access to senior talent at competitive rates with time zone coverage across North America. In house placement may offer tighter cultural alignment and faster cross team collaboration. Evaluate your current setup: if your SDR team is already distributed, remote leadership is a natural fit. Outsourced SDR teams can scale from half a rep to 25 SDRs easily, offering flexibility that in house alone cannot match.

Writing a Job Description That Attracts the Best SDR Leaders

A generic job description attracts generic candidates. Make yours specific and compelling by covering four elements:

  1. Mission and success metrics. What problem will this leader solve? Be explicit: pipeline contribution targets, ramp time goals, win rates, SDR performance benchmarks. Clear KPIs should emphasize qualified opportunities created rather than just activity volume.
  2. Stack and context. List your CRM, outreach tools, and sequences. Describe your sales process, inbound and outbound motions, and buyer profiles. Top candidates want to see what they will work with on day one.
  3. Team structure. Spell out team size, reporting relationships, expectations for expansion, and whether the role is hands on coaching or purely strategic. Include the current ratio of experienced SDRs to new hires.
  4. Growth and impact. Show the path from SDR manager to Director or VP. Highlight opportunities to shape marketing strategy, influence sales operations, and develop future leaders within the organization. Include compensation transparency and remote or onsite expectations. A motivating compensation structure is crucial for maintaining high morale among SDRs.
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Finding, Vetting, and Onboarding the Right Candidate

A Rigorous Hiring and Vetting Process

Sourcing Strategy

Use multiple channels to build your candidate pipeline. Internal promotions bring product knowledge and cultural fluency. External hires bring fresh best practices from other organizations. Leverage LinkedIn, specialist sales leadership recruiters, referrals, and vetted talent networks.

For companies seeking SDR leadership with experience in custom software development or technical services, narrow your search to candidates who have managed outbound prospecting in complex, long sales cycles with enterprise buyers.

Hiring for core competencies involves focusing on coachability and resilience, not just quota attainment history. Top SDRs possess strong business acumen and ICP fluency, but promoting the best SDR is often a hiring mistake if they cannot coach others effectively.

Vetting Beyond the Resume

The interview process should go far beyond reviewing a resume. Here is how to test for real SDR leadership capability:

  • Role play coaching simulation. Have the candidate coach a mock SDR through a cold outreach call with a known weakness. The hiring process can include simulation of real life scenarios to assess management candidates. Watch whether they diagnose root cause versus offer surface level advice.
  • Analytical exercise. Provide sample SDR performance metrics: meetings booked, held, SAO acceptance, connect rates, rep ramp data. Ask for a diagnostic and recommended changes. This reveals whether they have a deep understanding of leading indicators and performance metrics.
  • Cross functional scenario. Present a case where lead quality is dropping and high rejection rates are coming from the account executive team. Observe how they propose aligning with Marketing and AEs. Cross functional influence is essential for SDR leadership to tackle lead quality issues.
  • Reference checks with former reps. Speak with SDRs and AEs who reported to or worked alongside the candidate. Ask about coaching style, empathy during challenging periods, and whether they prioritized making others successful over personal sales achievements.

Prioritizing skills relating to coaching and operational discipline is crucial in SDR leaders. Credibility in SDR leadership involves leading by example and actively participating in tasks.

Onboarding and Retention (30/60/90 Day Setup)

A structured onboarding ramp helps new SDR leaders build competence and confidence, and ensures your investment pays off quickly.

  • First 30 days: Audit and absorb. The new leader should map the current SDR team, tools, data, and processes. They review existing outreach sequences, call recordings, and pipeline quality data. They shadow reps, sit in on deal huddles, and identify low hanging process improvements.
  • Days 31 through 60: Implement and iterate. Begin making targeted improvements: refine outreach playbooks, establish or tighten SLAs with account executives, introduce regular call reviews, and implement clear cadences integrating multiple outreach channels. A great leader must prioritize teaching fundamental skills to SDRs during this phase.
  • Days 61 through 90: Measure and scale. Deliver measurable improvements in pipeline quality, meetings booked and held ratio, and SDR ramp time. Using automated tools can maximize SDR talk time by reducing manual research friction, freeing leaders for more coaching cycles.

For retention, ensure the leader has a clear upward career path, regular feedback loops, and enough autonomy to shape the sales development function. Leaders who feel empowered to remove administrative burdens and focus on continuous improvement stay longer and deliver more.

Making the Right Hiring Decision

Red Flags and Green Flags to Watch For

Red flags (warning signals during interviews):

  • Overemphasis on volume over quality. Candidates who talk only about activity metrics (dials per day, emails sent) without discussing pipeline quality, rejection rates, or conversion rates reveal a shallow understanding of effective SDR team management.
  • No firsthand SDR experience. Most SDRs are early career professionals whose success depends on managers who have been in the trenches. A leader who has never done cold outreach or booked meetings themselves will lack credibility with the team.
  • Weak analytical skills. If a candidate cannot interpret performance metrics or propose data driven improvements, they will manage by gut instinct rather than continuous learning and measurement. Measuring business outcomes is more important than focusing solely on activity metrics.
  • No concrete coaching examples. Ask for success stories of improving underperformers. If they cannot provide specific examples of how they helped individual contributors improve, they are likely a "set it and forget it" manager, not a true SDR leadership developer.

Green flags (positive indicators of senior level capability):

  • Proven SDR background. Experience as a senior SDR or in a similar frontline role. They understand objection handling, prospect information gathering, and what it takes for most SDRs to book meetings consistently.
  • Strong coaching orientation. They describe specific feedback loops, role plays, and call review processes they have implemented. They have a growth mindset focused on developing future leaders and high performing SDRs.
  • Process building track record. They have built or refined outreach playbooks, ICP alignment frameworks, and tool integrations. They bring best practices from scaling effective SDR teams across organizations.
  • Measurable impact. They can show results: ramp time shortened, pipeline contribution increased, turnover reduced, win rates improved. Effective SDR leadership improves metrics like win rates and quota attainment in tangible, documented ways.

Why Partnering with SoftDoes Gives You an Edge

SoftDoes is a North America focused talent delivery partner that takes the risk and friction out of hiring SDR team leadership. Instead of spending months sourcing, vetting, and hoping your hire works out, you get access to carefully vetted senior talent through a proven talent network model.

What sets SoftDoes apart:

  • Team delivery, not isolated freelancers. Unlike hiring a freelance SDR manager off a job board, SoftDoes provides integrated professionals backed by operational support. Every candidate has been screened for leadership skills, coaching ability, and analytical rigor specific to sales development.
  • Replacement and scaling guarantees. If the fit is not right, SoftDoes provides a replacement guarantee. Need to scale up or down? The flexible engagement model adapts, whether you need a single specialist or a full pod.
  • Experience with complex, regulated verticals. SoftDoes serves clients across enterprise and regulated industries, so the SDR leaders in the network understand long sales cycles, multiple stakeholder buyers, and the precision required for compliance driven environments.
  • Fast deployment with structured onboarding. SoftDoes candidates come ready with proven methodologies. They do not learn on the job; they implement from day one.

For companies looking to complement their growth marketing efforts with strong outbound sales leadership, SoftDoes bridges the gap between marketing strategy and pipeline execution.

Ready to Hire an SDR Team Leadership Developer?

Stop losing quarters to leadership gaps. If you are ready to build or scale your sales development function with the right leader, the next step is simple.

Schedule a discovery call with SoftDoes to define your requirements, review pre vetted candidates, and get your SDR leadership in place without the typical hiring nightmare.

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