Senior Director, Mission AI

Everfox•Herndon, VA

4d•$317,200 - $423,100•Hybrid

About The Position

The Mission AI Business Unit Leader is responsible for building, leading, and scaling Everfox’s Mission AI business. The role combines strategic business-unit leadership with primary business development responsibilities until the organization reaches sufficient scale. It focuses on business creation, revenue generation, ecosystem development, and strategic AI partnerships across U.S. national-security markets, including the Department of War, the Intelligence Community, Five Eyes, NATO, and allied governments. The leader will define business strategy, recruit partners, generate pipeline, coordinate cross-functional collaboration, and position Everfox as the secure information-exchange layer connecting mission data with frontier AI models, accelerated compute, agents, mission applications, and operational environments. The role is hybrid, with on-site work several days each week, typically two to three days. Specific days are set by the manager, and candidates are expected to live within about 50 miles of the office.

Requirements

At least 10 years of experience in business development, AI, cloud, cybersecurity, defense technology, or related fields.
Proven experience building new businesses, markets, or complex ecosystems.
Demonstrated ability to personally generate pipeline, including seven- and eight-figure opportunities.
Strong understanding of modern AI architectures, frontier models, generative AI, and agentic AI.
Deep familiarity with Department of War and Intelligence Community markets.
Ability to translate technical capabilities into mission outcomes and engage with both major technology companies and startups.
Strong executive communication skills.
Ability to operate independently with limited initial resources.

Nice To Haves

Active security clearance; TS/SCI is strongly desirable.

Responsibilities

Develop and execute Mission AI business strategy, including annual and multi-year plans.
Define priority markets, mission use cases, and pipeline and bookings objectives.
Build and manage a national-security AI ecosystem spanning compute, cloud, models, data platforms, agents, and mission applications.
Coordinate strategy with sales, engineering, product, marketing, and executive leadership.
Provide strategic market intelligence to executive leadership.
Establish strategic relationships with frontier and foundation model providers, including OpenAI, xAI, Google DeepMind, Microsoft, Oracle, and emerging government-authorized model companies.
Lead partnerships across NVIDIA’s accelerated-compute, AI Factory, and edge-AI ecosystems.
Work jointly with the Hyperscaler Business Unit to develop cloud-integrated AI solutions across AWS, Azure, Google Cloud, Oracle, and emerging AI clouds.
Recruit partners supporting mission-data ingestion, normalization, analytics, workflows, and decision intelligence.
Develop strategies for agentic AI platforms supporting search, analysis, correlation, workflow automation, logistics support, cyber defense, and mission-system interaction.
Build an AI application ecosystem across intelligence, C2, cybersecurity, autonomy, logistics, space, coalition operations, and tactical edge environments.
Generate opportunities, pipeline, and strategic pursuits as the primary business development executive.
Develop customer relationships across DoW CDAO, military services, the Intelligence Community, program offices, laboratories, DISA, Five Eyes partners, NATO, and allied nations.
Drive commercial success measured through qualified pipeline, influenced bookings, recurring revenue, AI Factory deployments, and partner-sourced pipeline.
Create repeatable Mission AI solutions, including DoW AI Arsenal use cases and AI Factory architectures.
Define mission problems, data sources, security domains, models, agents, applications, human decision points, commercial models, and partner roles.
Combine the four Strategic Growth Organization business units to deliver integrated architectures spanning sensors, data, cloud, models, agents, mission applications, and operational outputs.