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Ai Manager Jobs in Reston, VA (NOW HIRING)

SVP Artificial Intelligence

Mclean, VA

$158K - $198K/yr

AI Management--establishing and overseeing the enterprise framework for AI lifecycle management, risk management, compliance, inventory management, performance monitoring, reporting, and responsible ...

AI Product Manager

Centreville, VA · Remote

$140K - $150K/yr

AI Product Manager Location-Type: Remote (U.S. Based) Start Date Is: ASAP Employment Type: Permanent Compensation Range: $140,000-150,000 Base Salary Benefits: Comprehensive Medical, Dental, Vision ...

Bechtel is seeking an experienced AI Training Manager to lead our Enterprise AI Training Program within the AI Center of Excellence. In this role, you will be responsible for equipping all Bechtel ...

AI Training Manager

Reston, VA · On-site

$140K - $203K/yr

Bechtel is seeking an experienced AI Training Manager to lead our Enterprise AI Training Program within the AI Center of Excellence. In this role, you will be responsible for equipping all Bechtel ...

The AI Enablement Manager coordinates with the Functional AI Leads, managing the AI Champions Network, and designing the training and change management programmes that embed AI into everyday work.

New

AI Policy Manager

Washington, DC · On-site +1

$153K/yr

Meta is looking for an AI Policy Manager to join our AI Policy team. In this role, you will work closely with the team to navigate novel and complex issues related to the governance of AI, including ...

AI Policy Manager

Washington, DC · On-site

$153K - $224K/yr

Meta is looking for an AI Policy Manager to join our AI Policy team. In this role, you will work closely with the team to navigate novel and complex issues related to the governance of AI, including ...

Build and manage an opportunity pipeline across SOC (1/2/3), readiness, ISO 27001 ISMS implementation/assessments, ISO 42001 (AI Management System) readiness/certification guidance, and security ...

Showing results 21-40

Ai Manager information

How do you become an AI manager?

To become an AI manager, candidates typically need a strong background in computer science, data science, or related fields, along with experience in artificial intelligence, machine learning, or data analysis. Developing leadership skills and understanding project management are also important, often supported by certifications like PMP or specialized AI courses. Gaining hands-on experience through projects or roles in AI development is essential for advancing to management positions.

What is the role of an AI manager?

An AI manager oversees the development, implementation, and maintenance of artificial intelligence projects within an organization. They coordinate teams of data scientists and engineers, set project goals, and ensure AI solutions align with business objectives, often requiring knowledge of machine learning tools and programming languages. Their role involves managing timelines, budgets, and stakeholder communication to deliver effective AI systems.

What does an AI manager do?

An AI Manager oversees the development, implementation, and optimization of artificial intelligence solutions within an organization. They lead AI teams, manage projects, and ensure alignment with business goals while addressing technical and ethical concerns. AI Managers collaborate with data scientists, engineers, and executives to drive innovation and improve operational efficiency. They also stay updated on industry trends and advancements to leverage AI effectively.

What are the key skills and qualifications needed to thrive as an AI manager?

To thrive as an AI Manager, you need a strong background in computer science, machine learning, project management, and proven experience leading AI initiatives, often supported by a relevant degree or industry certifications. Familiarity with AI frameworks and tools such as TensorFlow, PyTorch, cloud platforms, and knowledge of data governance and MLOps is commonly required. Excellent leadership, problem-solving, and communication skills help AI Managers effectively coordinate cross-functional teams and translate business objectives into actionable AI solutions. These competencies are essential for successfully driving AI projects from conception to deployment while aligning with organizational goals.

How much does an AI manager make?

An AI manager's salary typically ranges from $100,000 to $180,000 annually, depending on experience, location, and industry. Senior roles or those in high-demand areas may offer higher compensation, often supplemented with bonuses and stock options.

What types of teams or departments does an AI manager typically collaborate with?

AI Managers work closely with data scientists, software engineers, product managers, and business stakeholders to ensure AI projects align with company objectives. They often coordinate with IT teams for infrastructure requirements, as well as legal and compliance teams regarding data privacy and ethical AI practices. Close collaboration with these groups helps deliver robust and scalable AI solutions, fostering a multidisciplinary approach that enhances project success. By acting as a bridge between technical and non-technical teams, AI Managers ensure that business needs are clearly understood and translated into effective AI strategies.

What are the most commonly searched types of Ai jobs in Reston, VA? The most popular types of Ai jobs in Reston, VA are:
What job categories do people searching Ai Manager jobs in Reston, VA look for? The top searched job categories for Ai Manager jobs in Reston, VA are:
What cities near Reston, VA are hiring for Ai Manager jobs? Cities near Reston, VA with the most Ai Manager job openings:
Infographic showing various Ai Manager job openings in Reston, VA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 70% In-person, and 30% Remote job distribution.

Senior Product Manager, AI Cloud Services

Emerald AI, Inc.

Washington, DC • On-site

$140 - $190/hr

Other

Medical, Dental, Vision, Retirement

Posted 10 days ago


Job description

Location

Bay Area; Boston; Washington D.C.

Employment Type

Full time

Location Type

Hybrid

Department

Product

About Emerald AI

We’re at a pivotal moment for AI and energy. Demand for compute is skyrocketing, but power constraints are becoming a critical bottleneck. Emerald AI sits at the intersection of these two worlds, enabling AI data centers to scale without overwhelming the grid.

Our Emerald Conductor software platform makes data centers flexible and responsive, allowing them to adjust power usage dynamically. This unlocks massive AI growth without major new infrastructure, while also strengthening the grid and supporting the expansion of renewable energy.

We’re a team of experts across AI, cloud, software, and energy—on a mission to scale AI sustainably. We’re backed by leading investors and partners including Radical Ventures and NVIDIA.

Emerald AI is building a next-generation AI cloud platform designed for the era of large-scale AI training and inference. We believe cloud infrastructure should be intelligent, power-aware, and optimized for modern GPU workloads—not simply a collection of virtual machines.

We're looking for a Senior Product Manager, AI Cloud Services to lead the definition and launch Emerald Cloud Services. This is a true 0→1 product role, responsible for discovering customer needs, shaping the product strategy, and bringing new cloud services to market. You'll work across engineering, design, commercial, and customers to build a differentiated AI cloud experience for enterprises, AI labs, and infrastructure providers.

Key Responsibilities

Define the product vision, strategy, and roadmap for Emerald’s Cloud Services platform, shaping how customers access, manage, and optimize AI compute.

Conduct customer discovery and market research to identify emerging AI infrastructure needs and translate insights into differentiated offerings.

Define product requirements for AI cloud services, including compute provisioning, management, APIs, developer workflows, and platform capabilities.

Partner closely with engineering to deliver scalable products while balancing customer needs, technical complexity, and business priorities.

Work with Sales, Business Development, and Marketing to define packaging, pricing, go-to-market strategy, and drive customer adoption.

Lead products from initial concept through launch, iteration, and commercialization.

Bring clarity to ambiguous problems and build alignment across customers, engineering, and business teams.

5+ years of product management experience building cloud infrastructure, developer platforms, or enterprise software.

Experience launching and scaling customer-facing software products from concept through commercialization.

Exceptional customer empathy with a strong product discovery mindset.

Excellent product intuition and ability to identify market opportunities.

Strong analytical thinking and data-driven decision making.

Outstanding written and verbal communication skills.

Experience defining product strategy and prioritizing roadmaps in ambiguous environments.

Ability to independently lead complex cross-functional initiatives.

Comfortable operating in a fast-paced, early-stage startup.

Preferred requirements

Experience building AI infrastructure products.

Familiarity with NVIDIA GPUs, Kubernetes, Slurm, or distributed AI training.

Experience with cloud provisioning, identity, networking, storage, or infrastructure automation.

Experience working with AI startups, enterprise ML teams, or cloud infrastructure providers.

What We Offer

Make an impact. Solve the AI power bottleneck and shape how data centers scale sustainably.

Join a world-class team of AI, cloud, software, and energy experts in a collaborative, low-ego environment.

Build from 0→1. Influence strategy, GTM, org design, and customer/investor engagement from day one.

Competitive pay + equity. Stock options let you share in the value you help create.

Comprehensive benefits, including medical, dental, vision, and 401(k) matching.

Flexible location. Work from D.C., Boston, or the Bay Area, with 2 WFH day/week.

Backed by top investors, including Radical Ventures and NVIDIA.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability, and any other protected ground of discrimination under applicable human rights legislation.

Emerald AI strives to respect the dignity and independence of people with disabilities and is committed to giving them the same opportunity to succeed as all other employees.

Inclusiveness is core to our culture at Emerald AI, and we strive to ensure you get the most from your interview experience. Emerald AI makes reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please reach out to the Talent team.

Washington DC
Boston, MA
San Francisco, CA

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