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Venture Manager Jobs in Virginia (NOW HIRING)

U.S. Venture

Delivery Driver non CDL

Colonial Heights, VA · On-site

$20.50/hr

Any unsolicited resumes, including those submitted to hiring managers, shall be deemed the property of U.S. Venture. U.S. Venture, Inc. is an equal opportunity employer that is committed to inclusion ...

Venture Dynamics Enterprises, Inc.

CAD Designer

Portsmouth, VA · On-site

$26.25 - $36.25/hr

Venture Dynamics is looking for a CAD Designer with experience in Auto Cad, Solidworks and Nesting ... Maintain communication with the project management team, architects and engineers, project team ...

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Showing results 21-40

All JobsVenture JobsVenture Manager JobsVenture Manager Jobs in Virginia

Venture Manager information

See Virginia salary details

$22.8K

$60.8K

$101.6K

How much do venture manager jobs pay per year?

As of Aug 18, 2026, the average yearly pay for venture manager in Virginia is $60,825.00, according to ZipRecruiter salary data. Most workers in this role earn between $43,600.00 and $68,400.00 per year, depending on experience, location, and employer.

What is a venture manager?

Venture Managers are professionals responsible for overseeing the development, growth, and management of new business ventures, often within a corporate or investment context. They identify promising business opportunities, coordinate resources, manage project teams, and ensure that ventures align with strategic goals. Venture Managers may also be involved in fundraising, partnership building, and market analysis to maximize the success of their projects. Their work is crucial in fostering innovation and driving the commercial success of new initiatives.

How does a venture manager typically collaborate with startups and investors in their daily work?

A Venture Manager acts as a crucial bridge between startups and investors, often working closely with founders to refine business models, prepare for pitch meetings, and develop growth strategies. On a typical day, they may review startup progress, organize networking events, and facilitate introductions between entrepreneurs and potential investors. They also manage due diligence processes and provide ongoing support to portfolio companies. This collaborative role requires strong interpersonal skills and the ability to balance the interests of both startups and stakeholders.

What are the key skills and qualifications needed to thrive as a venture manager, and why are they important?

To thrive as a Venture Manager, you need strong business acumen, financial analysis skills, and experience in entrepreneurship or venture capital, often supported by a degree in business, finance, or a related field. Familiarity with deal sourcing platforms, CRM software, and financial modeling tools is typically required. Exceptional networking, strategic thinking, and adaptability are crucial soft skills for building relationships and navigating dynamic markets. These skills and qualities enable effective identification, evaluation, and growth of high-potential ventures in competitive investment landscapes.

What is the difference between Venture Manager vs Business Development Manager?

AspectVenture ManagerBusiness Development Manager
Primary FocusOverseeing new venture projects, startups, or innovative initiatives within a company or as an investorIdentifying and pursuing new business opportunities to grow existing company revenue
Required CredentialsTypically a background in entrepreneurship, finance, or management; certifications varyOften a background in sales, marketing, or business management; similar certifications
Work EnvironmentStartups, venture capital firms, corporate innovation teamsCorporate offices, sales teams, marketing departments
Industry UsageVenture capital, startup ecosystem, corporate innovationCorporate sectors, tech companies, manufacturing, services

While both roles focus on growth and new opportunities, Venture Managers primarily oversee innovative ventures or startups, whereas Business Development Managers concentrate on expanding existing business relationships and revenue streams.

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

The most popular types of Venture jobs in Virginia are:

What cities in Virginia are hiring for Venture Manager jobs?

Cities in Virginia with the most Venture Manager job openings:

Venture Manager jobs near you
Infographic showing various Venture Manager job openings in Virginia as of August 2026, with employment types broken down into 85% Full Time, 14% Part Time, and 1% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $60,825 per year, or $29.2 per hour.

Director, AI Engineering

Venture Global, Inc.

Arlington, VA • On-site

Full-time

Posted 7 days ago

Job description

Venture Global LNG ("Venture Global") is a long-term, low-cost provider of American-produced liquefied natural gas. The company's Louisiana-based export projects service the global demand for North American natural gas and support the long-term development of clean and reliable North American energy supplies. Using reliable, proven technology in an innovative plant design configuration, Venture Global's modular, mid-scale plant design will replace traditional designs as it allows for the same efficiency and operational reliability at significantly lower capital cost.
We are seeking qualified applicants for the position:
Director, AI Engineering
Located:
Arlington
Summary
The Director of AI Engineering is responsible for building and leading Venture Global's AI Engineering function. This leader will define the strategy, architecture, and operating model for deploying AI agents and machine learning systems across the enterprise, spanning cloud and secure on-premises environments. The Director will stand up the platform, hire and lead a team of senior AI engineers and machine learning engineers, and partner closely with Data Engineering, Data Science, and business stakeholders to translate operational and commercial needs into deployed, revenue-generating and insight-driving AI solutions. This is a hands-on leadership role: the Director is expected to personally drive architecture decisions, build early prototypes, and set engineering standards. The Director will champion a safety-conscious, security-first posture in all AI deployments. The measures of an ideal candidate include technical depth, architectural judgment, people leadership, stakeholder communication, strategic thinking, and a strong bias for delivery. This new position will be based in our Arlington, VA headquarters and report to the Vice President of Software Engineering and Enterprise Analytics. The position is full-time in office located in Arlington, VA.
General Description Duties & Responsibilities
  • Define and execute the AI engineering strategy, roadmap, and operating model for the enterprise, aligned to business and operational priorities.
  • Build, lead, and mentor a team of senior AI engineers, platform engineers, applied AI engineers, and machine learning engineers.
  • Architect scalable, secure infrastructure for AI agent development and deployment across cloud and on-premises environments.
  • Lead the strategy for self-hosted open-weight large language models (LLMs), including model selection, fine-tuning, quantization, and serving optimization, while integrating commercial API-based models where appropriate.
  • Establish the reference architecture and engineering standards for agentic systems that analyze both batch and streaming data for operational and commercial use cases.
  • Partner with Data Engineering on ontology and semantic model design to ground AI systems in trusted enterprise data.
  • Oversee procurement of GPU servers and AI infrastructure, managing vendor relationships, capacity planning, and budget.
  • Partner with business unit leaders to identify and prioritize high-value AI use cases and drive them from concept to production.
  • Explore and enable development of custom machine learning models alongside LLM-based approaches.
  • Establish MLOps/LLMOps practices, model governance, monitoring, and documentation standards for maintainability and reliability.
  • Collaborate with IT and security leadership to operate within energy-sector security and governance frameworks.
  • Report on team performance, project outcomes, and business impact to executive leadership.

Qualifications
  • 10+ years of experience in software, data, or machine learning engineering, including 3+ years leading technical teams.
  • Bachelor's degree in Computer Science, Engineering, Mathematics, or related field of study.
  • Demonstrated experience architecting and deploying production AI/ML systems at enterprise scale.
  • Hands-on experience with large language models, including self-hosting open-weight models and serving optimization (e.g., quantization, inference optimization, GPU utilization).
  • Experience designing and deploying agentic AI systems and the frameworks/patterns that support them.
  • Strong proficiency in Spark, Python and modern AI/ML tooling.
  • Experience building on cloud platforms and on-premises GPU infrastructure.
  • Proven ability to hire, lead, and mentor high-performing engineering teams.
  • Experience with infrastructure procurement, capacity planning, and vendor management.
  • Excellent interpersonal and communication skills, with the ability to translate technical concepts for executive and business audiences.
  • Strong work ethic with the ability to effectively prioritize, meet deadlines, adapt to changing priorities, and succeed in a fast-paced environment.

Preferred Qualifications
  • Advanced degree in a quantitative or technical discipline.
  • Experience with Databricks and streaming data platforms.
  • Experience deploying AI/ML solutions in or adjacent to operational technology (OT), industrial, or safety-critical environments.
  • Experience with ontology and semantic modeling approaches.
  • Familiarity with agent frameworks (e.g., LangGraph, CrewAI, or custom orchestration).
  • Experience in the energy, LNG, manufacturing, or heavy industrial sectors.
  • Experience utilizing DevOps/MLOps practices and tooling.
  • Strong technical writing skills.

Salary Range
$221,000 - $260,000
Venture Global LNG is an Equal Opportunity Employer. We do not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law.

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