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V Foundation Jobs (NOW HIRING)

Vantage Systems

Security V

Albuquerque, NM · On-site

$171K - $207K/yr

Our unwavering commitment to exceptional service is built upon a foundation of ethics, honesty, and ... The Cybersecurity Lead (Security V) serves as the senior cybersecurity authority responsible for ...

Vantage Systems

Technician V

Albuquerque, NM · On-site

$91K - $111K/yr

Our unwavering commitment to exceptional service is built upon a foundation of ethics, honesty, and ... The Logistics Technician/Facilities Lead (Technician V) is responsible for overseeing facility ...

Vantage Systems

Engineer V

Albuquerque, NM · On-site

$137K - $168K/yr

Our unwavering commitment to exceptional service is built upon a foundation of ethics, honesty, and ... The Aerospace Engineer (Engineer V) provides, at a senior level, systems engineering, mission ...

Vantage Systems

IT V

Albuquerque, NM · On-site

$125K - $152K/yr

Our unwavering commitment to exceptional service is built upon a foundation of ethics, honesty, and ... The IT Administrator Lead (IT V) is responsible for managing and supporting IT infrastructure for ...

PETA Foundation

AV Editor-Videographer

Norfolk, VA

$25 - $28.13/hr

Description This is an opportunity to work with the Audio/Visual (A/V) Department for the PETA Foundation and its international entities, editing some of PETA's most riveting and popular content in ...

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$21K

$62.6K

$170.5K

How much do v foundation jobs pay per year?

As of Aug 15, 2026, the average yearly pay for v foundation in the United States is $62,609.00, according to ZipRecruiter salary data. Most workers in this role earn between $34,000.00 and $72,500.00 per year, depending on experience, location, and employer.

What are common career advancement opportunities at the V Foundation?

Employees at the V Foundation often have access to a wide range of professional development and growth opportunities, including moving into leadership roles in fundraising, program management, or communications. Team members who demonstrate strong results and a passion for the mission can progress to manage larger campaigns, oversee strategic initiatives, or lead entire departments. The organization encourages internal growth, mentorship, and ongoing learning to help staff achieve both organizational and personal career goals. This supportive environment is ideal for individuals looking to make a lasting impact in the nonprofit sector.

What is a V Foundation?

A V Foundation job typically refers to a role at the V Foundation for Cancer Research, a nonprofit organization dedicated to funding cancer research. Employees work in various capacities, such as fundraising, communications, grant management, and events, to support the foundation’s mission. These jobs often involve collaboration with researchers, donors, and partners to advance cancer research funding initiatives.

What are the key skills and qualifications needed to thrive in the V Foundation position, and why are they important?

To thrive at the V Foundation, candidates typically need a background in nonprofit management, fundraising, or marketing, as well as a passion for cancer research and advocacy. Familiarity with donor management software, event planning tools, and CRM systems is highly valuable in this environment. Strong interpersonal skills, adaptability, and the ability to communicate the organization's mission effectively are essential soft skills. These abilities ensure successful fundraising campaigns, meaningful stakeholder engagement, and overall advancement of the foundation's mission to fund cancer research.

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V Foundation jobs near you
Infographic showing various V Foundation job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 15% Part Time, and 5% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $62,609 per year, or $30.1 per hour.

Product Manager, AI/ML & Foundation Models (R4991)

Shield AI

Washington, DC • On-site

$190K - $290K/yr

Full-time

Re-posted 20 days ago

Job description

Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. 

Job Description:
 
The Product Manager will drive the strategy and execution of Shield AI’s next-generation autonomy intelligence stack—enabling customers and internal teams to train, evaluate, and deploy foundation and domain models that power resilient autonomy at the edge. This PM owns the product vision and roadmap for the Hivemind AI Platform (Forge, training pipelines, data infrastructure, evaluation, and deployment toolchains), ensuring we can manufacture, govern, and field advanced world models, robotics foundation models, and vision-language-action systems safely and at scale. 
 
This role sits at the intersection of AI/ML, autonomy, model lifecycle, infrastructure, and product strategy. The PM partners closely with engineering, AI research, Hivemind Solutions, and field teams to deliver the tooling that enables sovereign autonomy, AI Factories at the edge, and continuous learning—capabilities that are central to Shield AI’s strategic direction. 
 
This is a high-impact role for an experienced product leader excited to define how foundation models are trained, validated, governed, and deployed across thousands of autonomous systems in highly contested environments.
What you'll do:
  • AI Model Development & Training Platform
  • Own the roadmap for foundation model training workflows, including dataset ingestion, curation, labeling, synthetic data generation, domain model training, and distillation pipelines.
  • Define requirements for world models, robotics models, and VLA-based training, evaluation, and specialization.
  • Lead the evolution of MLOps capabilities in Forge, including data lineage, experiment tracking, model versioning, and scalable evaluation suites.
  • Data, Simulation & Synthetic Data Factory
  • Define product requirements for synthetic data generation, simulation-integrated data flywheels, and automated scenario generation.
  • Partner with Digital Twin, Simulation, and autonomy teams to convert natural-language mission inputs into data needs, training procedures, and model variants.
  • Safe Deployment & Model Governance
  • Lead the development of model governance and auditability tooling, including model cards, dataset rights, lineage tracking, safety gates, and compliance evidence.
  • Build guardrails and workflows to safely deploy models onto edge hardware in disconnected, GPS- or comms-denied environments.
  • Partner with Safety, Certification, Cyber, and Engineering teams to ensure traceability and evaluation pipelines meet operational and accreditation requirements.
  • Edge Deployment & AI Factory Integration
  • Partner with Pilot, EdgeOS, and hardware teams to integrate foundation-model-based perception and reasoning into autonomy behaviors.
  • Define requirements for distillation, quantization, and inference tooling as part of the “three-computer” development and deployment model.
  • Ensure closed-loop workflows between cloud model training and edge-native execution.
  • Cross-Functional Leadership
  • Collaborate with Engineering, Research, Product, Customer Engagement, and Solutions teams to ensure model outputs meet mission and platform constraints.
  • Translate advanced AI capabilities into intuitive workflows that platform OEMs and partner nations can use to build sovereign AI factories.
  • Sequence foundational capabilities that unblock autonomy, simulation, and customer-facing product teams.
  • User & Customer Impact
  • Develop deep empathy for ML engineers, autonomy developers, and Solutions engineers who rely on the platform.
  • Capture operational data gaps, mission-driven model needs, and domain-specific specialization requirements.
  • Lead demos and onboarding for model-development capabilities across internal and external teams.
Required qualifications:
  • 7+ years of experience in product management or highly technical ML/AI product roles.
  • 2+ years of experience in a hands-on software development role.
  • Strong engineering background (Computer Science, Electrical Engineering, Robotics, or related field).
  • Deep understanding of foundation models, robotics models, multimodal models, MLOps, and training infrastructure.
  • Experience managing complex products spanning data pipelines, cloud training clusters, model governance, and edge deployments.
  • Proven success partnering with research teams to transition ML innovations into stable, production-grade workflows.
  • Familiarity with simulation-based data generation and large-scale data management.
  • Excellent communicator with strong cross-functional leadership skills.
Preferred qualifications:
  • Experience working on autonomy, robotics, embedded AI, or mission-critical systems.
  • Hands-on familiarity with GPU infrastructure, distributed training, or data lakehouse architectures.
  • Experience supporting defense, dual-use, or safety-critical AI systems.
  • Background designing or operating AI Factory–style pipelines (data → training → evaluation → distillation → edge deployment).
  • Advanced degree in engineering, ML/AI, robotics, or a related field.
#LI-DM2
#LE

Full-time regular employee offer package:
Pay within range listed + Bonus + Benefits + Equity
 
Temporary employee offer package:
Pay within range listed above + temporary benefits package (applicable after 60 days of employment)
 
Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.
 
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Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. 

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.