ZipRecruiter

Log In

2

Remote Lead Generation Jobs in Virginia (NOW HIRING)

Empower Brands

Field Marketing Manager

Richmond, VA · Remote

$105K/yr

... from lead generation and sales conversion to profitability, market share, and long-term growth ... Richmond, VA (preferred) or Remote (U.S.) TRAVEL: Approximately 50% WHY THIS ROLE MATTERS Marketing ...

Registrar Corp

Inside Sales Representative

Hampton, VA · Remote

$22/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Experience in prospecting and lead generation. * Expands international and US sales in existing ... Why Join Registrar Corp? * Remote-work eligibility in some states * Medical, Dental, Vision, 401(k) ...

Registrar Corp

Inside Sales Representative

Hampton, VA · On-site +1

$22/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Inside Sales Representative REMOTE Full-Time Salary: $22/hour, OTE $81k Uncapped Sales Commission ... Experience in prospecting and lead generation. * Expands international and US sales in existing ...

GAI Consultants

Power Generation Senior EIT 2

Glen Allen, VA · On-site +1

$95K - $131K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

This position is eligible for our flexible hybrid or remote work schedules. The successful ... Lead assigned project teams * Lead development of civil site proposals * Task management on ...

GAI Consultants

Power Generation Senior EIT 2

Warrenton, VA · On-site +1

$104K - $143K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

This position is eligible for our flexible hybrid or remote work schedules. The successful ... Lead assigned project teams * Lead development of civil site proposals * Task management on ...

Clarivate

Senior Product Sales Manager (Academia)

Alexandria, VA · Remote

$110K - $140K/yr

  • Medical

  • Dental

  • Life

  • Retirement

  • PTO

Drive the development and execution of innovative sales campaigns and lead generation activities in ... This is a remote role with up to 50% travel as needed * You will work regular business hours with ...

New

micro1 AI

Cheminformatics Specialist - Remote

Hampton, VA · Remote

$80 - $110/hr

In this role, you'll apply your expertise to help train next-generation AI systems. Your work will ... Evaluate compound-target interactions, ADMET properties, and lead optimization strategies by ...

micro1 AI

Cheminformatics Specialist - Remote

Suffolk, VA · Remote

$80 - $110/hr

In this role, you'll apply your expertise to help train next-generation AI systems. Your work will ... Evaluate compound-target interactions, ADMET properties, and lead optimization strategies by ...

micro1 AI

Cheminformatics Specialist - Remote

Roanoke, VA · Remote

$80 - $110/hr

In this role, you'll apply your expertise to help train next-generation AI systems. Your work will ... Evaluate compound-target interactions, ADMET properties, and lead optimization strategies by ...

previous pagenext page

Showing results 21-40

All JobsLead Generation JobsRemote Lead Generation JobsRemote Lead Generation Jobs in Virginia

Remote Lead Generation information

What is a remote lead generation?

A Remote Lead Generation job involves identifying and connecting with potential customers or clients for a business while working remotely. This typically includes researching prospects, reaching out via email or phone, and nurturing leads until they're ready for sales engagement. The role requires strong communication skills, persistence, and the ability to use digital tools like CRM systems. It's essential for companies looking to expand their customer base efficiently.

What does a remote lead generation do?

A typical day for a Remote Lead Generation professional involves researching potential clients, reaching out via email or calls, tracking interactions in CRM systems, and qualifying prospects for further engagement by the sales team. You may work independently but will frequently collaborate with sales, marketing, and account management colleagues to refine targeting strategies and align on goals. Staying organized and prioritizing follow-ups are crucial, as is adapting outreach based on campaign results or feedback. This dynamic environment often offers flexibility, but success depends on your ability to manage your time and stay self-motivated in a remote setting.

What are the key skills and qualifications needed to thrive in remote lead generation?

Succeeding in Remote Lead Generation requires strong research skills, proficiency in data analysis, and a background in sales or marketing. Familiarity with CRM platforms (like Salesforce or HubSpot), lead enrichment tools, and automation software is often necessary. Excellent written communication, persistence, and self-motivation are standout soft skills for this remote position. These abilities ensure effective identification and nurturing of qualified leads while maintaining productivity and collaboration in a virtual environment.

What are the most commonly searched types of Lead Generation jobs in Virginia?

The most popular types of Lead Generation jobs in Virginia are:

What are popular job titles related to Remote Lead Generation jobs in Virginia?

For Remote Lead Generation jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Remote Lead Generation jobs in Virginia look for?

The top searched job categories for Remote Lead Generation jobs in Virginia are:

What cities in Virginia are hiring for Remote Lead Generation jobs?

Cities in Virginia with the most Remote Lead Generation job openings:

Remote Lead Generation jobs near you
Infographic showing various Remote Lead Generation job openings in Virginia as of August 2026, with employment types broken down into 89% Full Time, 9% Part Time, and 2% Contract. Highlights an 91% Physical, 3% Hybrid, and 6% Remote job distribution.

Radio Frequency Software Engineer Lead - 1648

Global InfoTek, Inc.

Reston, VA • On-site, Remote

Full-time

Re-posted 24 days ago

Job description

Clearance Level: Public Trust
US Citizenship: Required
Job Classification: Full Time
Location: Remote
Years of Experience: 7-10 years of relevant experience
Education Level: BS Degree - experience may be considered in place of education requirement.
Briefly Describe the Work:
GITI is seeking a Lead RF Software Engineer to support Cyber Operations Research and Development on passive RF emitter identification and network analysis from real-time sensor data streams. The candidate will implement, test, and maintain components of production software pipeline - a stream ingestion, rollup, and post-processing system operating on NDF (Network Description File) data produced by TDMA network sensors in dense, contested RF environments. Working under the direction of the Principal Engineer and the Technical Lead. The Lead RF Software Engineer supports Cyber Operations by contributing to pipeline development across a range of functional areas including stream processing, database integration, display and reporting tools, simulation infrastructure, and CI/CD tooling. The role requires strong Python skills, comfort with air-gapped Linux environments, and the ability to work independently on well-defined components with minimal supervision in support of real world cyber operations.
Responsibilities:
  • Implement, test, and maintain assigned pipeline components including stream ingestion, rollup processing, database write, and batch post-processing modules in support of real world cyber operations
  • Develop and maintain browser-based visualization and reporting tools (track plots, waterfall displays, SmartBook report generation) that consume pipeline database output
  • Implement and maintain stream simulation infrastructure, including TDMA network mission log replay and stream generation at controllable rates for pipeline testing
  • Develop lightweight TNS simulator components: emitter and receiver models capable of following track plots and emitting in accordance with a network description
  • Contribute to database integration work on tactical-box-spec hardware, including MySQL schema design, query optimization, and performance benchmarking
  • Write comprehensive unit and integration tests for assigned components; implement and maintain CI/CD pipelines using GitLab to ensure functionality on hardware or in cloud environment
  • Identify and report performance bottlenecks in Python pipeline components; assist with porting mature components to Rust or C as directed
  • Perform basic Linux system administration on remote servers including package management, user configuration, and environment setup
  • Manage source code using GitLab; follow disciplined versioning, branching, and code review practices as established by the Principal Engineer
  • Produce clear technical documentation for implemented components including interface specifications, configuration guides, and test procedures
  • Participate in periodic technical check-ins with the program technical lead; share findings and flag blockers promptly

Career level with a complete understanding and wide application of technical principles, theories, and concepts. Working under general direction from the Principal Engineer, provides technical solutions to a wide range of well-defined problems and independently executes on assigned components. Bachelor's (or equivalent) with 7-10 years of experience, or a Master's with 5-7 years of experience.
Required Skills:
  • Strong proficiency in Python, with demonstrated experience in data processing pipelines, stream ingestion, or ETL development
  • Proficiency with Python data science libraries including NumPy, Pandas (or Polars), and scikit-learn
  • Experience with relational database development using MySQL, PostgreSQL, or SQLite, including schema design and query optimization
  • Experience parsing or generating binary serialization formats (FlatBuffers, Protocol Buffers, or equivalent)
  • Ability to develop, test, and debug on remote Linux servers via SSH using command-line tools and a modern IDE
  • Solid Linux operating system fundamentals including file system management, process control, and basic security hardening (Ubuntu)
  • Proficient in software engineering practices including Git/GitLab version control, unit testing, and CI/CD pipeline usage
  • Experience developing browser-based data visualization or reporting tools, or demonstrated ability to learn React/D3-based tooling on the job
  • Strong written and oral communication skills; ability to produce clear technical documentation for engineering audiences
  • Ability to work independently on assigned components with minimal supervision in a small, distributed team

Desired Skills:
  • Experience with TNS (Target Network System) sensor data formats and NDF ICD specifications
  • Familiarity with TDMA network protocols, time-division access architectures, and passive RF signal processing concepts
  • Experience with lightweight stream or message queue architectures (ZeroMQ, RabbitMQ, or equivalent)
  • Experience with Rust or Go for systems-level or performance-critical development on Linux
  • Experience with Polars or DuckDB for high-performance analytical workloads
  • Experience with performance profiling and optimization of Python pipelines on resource-constrained x86 hardware
  • Experience with LLM-assisted software development tools (e.g., Claude Code, GitHub Copilot, JetBrains AI Assistant, or equivalent); demonstrated ability to use AI tools productively for code generation, refactoring, and test case development while maintaining engineering judgment and code quality standards
  • Familiarity with AI/ML libraries (PyTorch, TensorFlow); ability to integrate trained model inference into a pipeline without requiring deep ML expertise
  • Experience with Jupyter Notebooks and research enclave environments; ability to read and adapt research prototype code
  • Experience with simulation or synthetic data generation for pipeline testing purposes
  • Familiarity with Apache data science tools such as Spark or Dask for large-scale data processing

Relevant Certifications:
  • Certifications in software engineering, computer science, or related fields (e.g., Certified Software Development Professional (CSDP); Certified Scrum Developer (CSD); Red Hat Certified Enterprise Application Developer; Certified Secure Software Lifecycle Professional (CSSLP); C++ Certified Associate Programmer (CPA); Professional Software Developer Certification (PSD); etc.)

Global InfoTek, Inc. is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability.
About Global InfoTek, Inc. Global InfoTek Inc. has an award-winning track record of designing, developing, and deploying best-of-breed technologies that address the nation's pressing cyber and advanced technology needs. GITI has rapidly merged pioneering technologies, operational effectiveness, and best business practices for over two decades.
Clearance Level: Public Trust
US Citizenship: Required
Job Classification: Full Time
Location: Remote
Years of Experience: 7-10 years of relevant experience
Education Level: BS Degree - experience may be considered in place of education requirement.
Briefly Describe the Work:
GITI is seeking a Lead RF Software Engineer to support Cyber Operations Research and Development on passive RF emitter identification and network analysis from real-time sensor data streams. The candidate will implement, test, and maintain components of production software pipeline - a stream ingestion, rollup, and post-processing system operating on NDF (Network Description File) data produced by TDMA network sensors in dense, contested RF environments. Working under the direction of the Principal Engineer and the Technical Lead. The Lead RF Software Engineer supports Cyber Operations by contributing to pipeline development across a range of functional areas including stream processing, database integration, display and reporting tools, simulation infrastructure, and CI/CD tooling. The role requires strong Python skills, comfort with air-gapped Linux environments, and the ability to work independently on well-defined components with minimal supervision in support of real world cyber operations.
Responsibilities:
  • Implement, test, and maintain assigned pipeline components including stream ingestion, rollup processing, database write, and batch post-processing modules in support of real world cyber operations
  • Develop and maintain browser-based visualization and reporting tools (track plots, waterfall displays, SmartBook report generation) that consume pipeline database output
  • Implement and maintain stream simulation infrastructure, including TDMA network mission log replay and stream generation at controllable rates for pipeline testing
  • Develop lightweight TNS simulator components: emitter and receiver models capable of following track plots and emitting in accordance with a network description
  • Contribute to database integration work on tactical-box-spec hardware, including MySQL schema design, query optimization, and performance benchmarking
  • Write comprehensive unit and integration tests for assigned components; implement and maintain CI/CD pipelines using GitLab to ensure functionality on hardware or in cloud environment
  • Identify and report performance bottlenecks in Python pipeline components; assist with porting mature components to Rust or C as directed
  • Perform basic Linux system administration on remote servers including package management, user configuration, and environment setup
  • Manage source code using GitLab; follow disciplined versioning, branching, and code review practices as established by the Principal Engineer
  • Produce clear technical documentation for implemented components including interface specifications, configuration guides, and test procedures
  • Participate in periodic technical check-ins with the program technical lead; share findings and flag blockers promptly

Career level with a complete understanding and wide application of technical principles, theories, and concepts. Working under general direction from the Principal Engineer, provides technical solutions to a wide range of well-defined problems and independently executes on assigned components. Bachelor's (or equivalent) with 7-10 years of experience, or a Master's with 5-7 years of experience.
Required Skills:
  • Strong proficiency in Python, with demonstrated experience in data processing pipelines, stream ingestion, or ETL development
  • Proficiency with Python data science libraries including NumPy, Pandas (or Polars), and scikit-learn
  • Experience with relational database development using MySQL, PostgreSQL, or SQLite, including schema design and query optimization
  • Experience parsing or generating binary serialization formats (FlatBuffers, Protocol Buffers, or equivalent)
  • Ability to develop, test, and debug on remote Linux servers via SSH using command-line tools and a modern IDE
  • Solid Linux operating system fundamentals including file system management, process control, and basic security hardening (Ubuntu)
  • Proficient in software engineering practices including Git/GitLab version control, unit testing, and CI/CD pipeline usage
  • Experience developing browser-based data visualization or reporting tools, or demonstrated ability to learn React/D3-based tooling on the job
  • Strong written and oral communication skills; ability to produce clear technical documentation for engineering audiences
  • Ability to work independently on assigned components with minimal supervision in a small, distributed team

Desired Skills:
  • Experience with TNS (Target Network System) sensor data formats and NDF ICD specifications
  • Familiarity with TDMA network protocols, time-division access architectures, and passive RF signal processing concepts
  • Experience with lightweight stream or message queue architectures (ZeroMQ, RabbitMQ, or equivalent)
  • Experience with Rust or Go for systems-level or performance-critical development on Linux
  • Experience with Polars or DuckDB for high-performance analytical workloads
  • Experience with performance profiling and optimization of Python pipelines on resource-constrained x86 hardware
  • Experience with LLM-assisted software development tools (e.g., Claude Code, GitHub Copilot, JetBrains AI Assistant, or equivalent); demonstrated ability to use AI tools productively for code generation, refactoring, and test case development while maintaining engineering judgment and code quality standards
  • Familiarity with AI/ML libraries (PyTorch, TensorFlow); ability to integrate trained model inference into a pipeline without requiring deep ML expertise
  • Experience with Jupyter Notebooks and research enclave environments; ability to read and adapt research prototype code
  • Experience with simulation or synthetic data generation for pipeline testing purposes
  • Familiarity with Apache data science tools such as Spark or Dask for large-scale data processing

Relevant Certifications:
  • Certifications in software engineering, computer science, or related fields (e.g., Certified Software Development Professional (CSDP); Certified Scrum Developer (CSD); Red Hat Certified Enterprise Application Developer; Certified Secure Software Lifecycle Professional (CSSLP); C++ Certified Associate Programmer (CPA); Professional Software Developer Certification (PSD); etc.)

Global InfoTek, Inc. is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard t

Apply