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Develops and executes integration plans for space and ground systems supporting Space Force environmental monitoring capabilities. Leads integration across system-of-systems, system, segment, and element levels; researches requirements, technologies, and threats; and applies integration methodologies to remote sensing systems. The role also evaluates technical performance, schedules, costs, risks, contractor data, requirements, interfaces, and verification activities for satellite programs.

Supports data science teams by cleaning and preparing structured and unstructured datasets, automating ETL workflows, and developing scalable data pipelines. Uses Python, SQL, big-data frameworks, cloud services, and dashboarding tools to support analytics, modeling, LLM/NLP workflows, and operational data products. Maintains documentation, assists with data governance and visualization, and contributes to mission-focused intelligence solutions in a highly sensitive environment.

Develops and executes integration plans for space and ground systems supporting military remote sensing missions. The role evaluates and validates system performance, mitigates integration risks, manages configuration changes, and supports DoD acquisition, sustainment, logistics planning, and lifecycle documentation. Responsibilities span system-of-systems, system, segment, and element levels while coordinating with engineers, analysts, logisticians, and financial managers.

The Cybersecurity Engineer secures space-sensing systems supporting defense and national security missions. Responsibilities include analyzing system performance, identifying vulnerabilities, supporting Risk Management Framework activities, conducting mission-based cyber risk assessments, developing threat scenarios for cyber test events, evaluating cybersecurity architectures and network diagrams, and integrating security throughout the system lifecycle. The role requires collaboration with engineers, operators, and mission stakeholders.

Develop scalable data science solutions for large structured and unstructured datasets supporting national security missions. Automate data processing, build machine learning and graph-based capabilities, and integrate LLMs into knowledge management workflows. Translate customer needs into analytical solutions, communicate findings through reports and visualizations, deploy models with engineering teams, and mentor junior data scientists. The role is full-time onsite in Reston, Virginia and requires an active TS/SCI clearance with CI polygraph.

Leads a portfolio of high-value government and prime contractor accounts, owning account health, growth strategy, revenue forecasts, margins, contract continuity, pipeline, and customer outcomes. Builds executive relationships, drives expansions and recompetes, oversees Program Managers, coordinates cross-functional product and service delivery, and translates mission needs into capture strategies, investments, and measurable business growth.

Manage the full lifecycle of complex government and commercial agreements, including FAR Part 12 contracts, OTAs, prime contracts, subcontracts, licensing agreements, teaming agreements, NDAs, OCI matters, and GSA contracts. Responsibilities include negotiation, compliance, risk mitigation, contract administration, stakeholder advising, audit support, process improvement, and monitoring regulatory developments.

Leads financial planning, forecasting, budgeting, performance management, and operational governance for the Channel Sales organization. Oversees channel incentive programs, rebates, MDF, SPIFFs, partner investments, accruals, controls, and ROI analysis. Partners with Sales leadership to improve pipeline management, forecasting, reporting, profitability, and process automation. Builds executive dashboards, develops predictive insights, leads operational cadence, and manages a high-performing Finance and Operations team.

Leads the architecture and delivery of complex software-intensive systems across cloud, distributed, AI-enabled, and mission-critical environments. Defines system boundaries, interfaces, integration strategies, and technical direction; conducts trade studies; manages architectural and operational risks; and drives systems from concept through validation, readiness, and adoption. Partners with engineering, product, architecture, customers, and senior leadership while mentoring technical leaders and scaling AI-enabled systems engineering practices.

Build AI applications, agents, integrations, and automated workflows that transform technical information into customer documentation. Partner with the Documentation team to use LLMs, agentic AI, and automation to improve content creation, maintenance, publishing, and delivery. Reduce manual effort, increase access to technical knowledge, and identify additional customer-facing workflows where AI can improve efficiency and experience.