Bigbear.ai
Operational AI platform for decision support
All Source Analyst Subject Matter Expert - Object Based Intelligence
Must reside in the United States at the time of application.
About the job
- Must possess a Top Secret/Sensitive Compartmented Information clearance with a Counterintelligence Polygraph.
- A Master's degree from an accredited educational institution is required, although additional experience may substitute for the education requirement.
- A minimum of 12 years of experience conducting intelligence analysis is required.
- Ability to define problems, supervise studies, and lead surveys to collect and analyze data and provide advice and recommended solutions.
- Analytic leadership and expertise in identifying, planning, developing, and executing analytic production methodologies, tradecraft, and techniques aligned with the customer's mission.
- Extensive ability to provide strategic advice, technical guidance, and expertise to Defense planners and policymakers at the Undersecretary level or higher.
- Lead and mentor a team of 3–5 all-source analysts, providing analytic and management oversight of team production and professional development.
- Provide all-source analytic support to collections, operations, investigations, and other defense intelligence analytic requirements.
- Define problems, supervise studies, and lead surveys to collect and analyze data, providing advice and recommending solutions to customer leadership.
- Identify, plan, develop, and execute analytic production methodologies, tradecraft, and techniques aligned with the customer's mission.
- Provide strategic advice and technical guidance to Defense planners and policymakers, up to the Undersecretary level or higher.
- Collaborate with data engineers, data scientists, analytic methodologists, computer scientists, and other technical disciplines to design, build, and implement intelligence production tools and applications for use by the U.S. Intelligence Community.
- Review and quality-check team analytic products for compliance with Intelligence Community tradecraft standards, including source validation, objectivity, and structured analytic techniques.
- Serve as a liaison between the analytic team and customer stakeholders to align production priorities with mission requirements.
- A Master's degree in an intelligence or STEM discipline.
- At least 20 years of experience conducting intelligence analysis.
- Experience creating products for Object Based Intelligence purposes.
- Extensive experience within the Department of War and/or the U.S. Intelligence Community.
- Experience working with artificial intelligence and machine-learning tools for intelligence analysis and production.
- Desire to shape how the Department of War will use machine-assisted tools and applications.
About the company
BigBear.ai builds operational AI software that helps organizations improve decision-making, cyber operations, and business agility. Its platform combines AI-driven analytics on an organization’s data with external inputs to give a full, real-time view of the environment, uncover new insights, and produce accurate predictions. The product works by integrating data from internal systems and external sources, applying advanced analytics to surface actionable intelligence, and enabling fast, informed actions in complex settings. What sets BigBear.ai apart is its depth of expertise in operational AI and its ability to optimize existing data with additional inputs, delivering data mining and predictive capabilities that go beyond traditional intelligence tools. Its goal is to help clients succeed in mission-critical environments—such as government intelligence, healthcare, and manufacturing—by improving efficiency, risk management, and operational performance.
Company Size
501-1,000
Company Stage
IPO
Headquarters
Columbia, Maryland
Founded
2020
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Simplify's Take
What believers are saying
- Q2 2026 revenue rose 13% to $36.7 million, with gross margin up to 32.8%.
- Management won 20+ contracts in Q2 2026 and raised backlog to $270 million.
- July 30, 2026 results reaffirmed $135 million-$165 million 2026 revenue guidance, supporting near-term credibility.
What critics are saying
- July 31, 2026 ATM authorizes 100 million shares, threatening massive dilution near $3.
- Q2 2026 burned $68.6 million cash, leaving growth financed by repeated equity sales.
- Defense contract concentration exposes BigBear.ai to Pentagon delays; one lost recompete can break guidance.
What makes Bigbear.ai unique
- BigBear.ai pairs Ask Sage GenAI with air-gapped defense deployments for classified environments.
- Sean Gainey joined the board on August 13, 2026, deepening Pentagon counter-drone credibility.
- ConductorOS targets autonomous defense integration, a niche rivals rarely operationalize inside secure networks.
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Benefits
Remote Work Options
Growth & Insights and Company News
6 month growth
↑ 0%1 year growth
↓ -1%2 year growth
↑ 2%BigBear.ai's stock dropped below $3 per share on Tuesday, falling 11.8% since mid-August despite an initial 18% surge following its July earnings report. The AI-enhanced security company reported mixed second-quarter results, with revenue up 13% year-over-year to $36.7 million and improved gross margins from 25% to 32.8%. Net losses declined significantly from $228.6 million to $25.7 million. However, the company burned $68.6 million in cash during the quarter, and revenue remains below 2022-2024 levels. Despite the decline, a reverse stock split appears unlikely. The New York Stock Exchange requires only a $1 per share minimum for listing, and BigBear.ai shares have previously recovered from similar drops, rebounding from $2.39 in April 2025 to $9.78 later that year.
BigBear.ai appoints retired U.S. Army Lt. Gen. Sean A. Gainey to Board of Directors. Foto: lightpoet - stock.adobe.com BigBear.ai (NYSE: BBAI), a specialized defense and security technology company providing mission-ready AI, today announced the appointment of retired U.S. Army Lt. Gen. Sean A. Gainey to its Board of Directors, effective August 13, 2026. Gainey joins the Board after a 36-year Army career in which he helped define the Joint Force's modern counter-drone approach and later commanded JTF-Gold, Golden Dome's operational arm. Retired U.S. Army Lt. Gen. Sean A. Gainey "General Gainey's experience, expertise and operational insights make him a very valuable addition to the BigBear.ai Board," said Peter Cannito, Chair of the Board of Directors of BigBear.ai. "Few leaders have his firsthand understanding of how a complex defense architecture becomes a fielded, trusted capability. His perspective will strengthen our Board and the direction we set for BigBear.ai." Gainey became the first director of the department's Joint C-sUAS Office in 2020, when the services had roughly 40 separate C-sUAS systems without a common joint architecture. Over the next four years, he led the office as it delivered the department's first C-sUAS strategy and advanced the operational concepts, joint doctrine, training standards, and open command-and-control architecture needed to connect sensors and defensive systems across services. During his tenure, the Joint C-sUAS University opened at Fort Sill to establish a common training foundation for operators across the force. In his final Army assignment, Gainey served as commanding general of U.S. Army Space and Missile Defense Command and commander of the Joint Functional Component Command for Integrated Missile Defense. In January 2026, he also assumed command of JTF-Gold. U.S. Northern Command established the task force to integrate and synchronize the homeland's air and missile defense enterprise and serve as the operational arm for future layered defense systems provided by Golden Dome. "General Gainey has spent his career at the leading edge of some of the most urgent threats facing warfighters, from counter-drone and integrated missile defense to joint force integration across combatant commands at the center of national security missions," said Kevin McAleenan, Chief Executive Officer of BigBear.ai. "As the threat from unmanned systems and advanced missile technology continues to accelerate, his firsthand operational understanding of what our men and women in uniform need from AI-enabled decision support is exactly the perspective our Board and our company need. We are honored to welcome him." Diskutieren sie über die enthaltenen Werte. Business Wire (engl.) Autor folgen Verfasst von Letzte Änderung17.08.2026, 15:15 Im Artikel enthaltene Werte
BigBear.ai has appointed retired US Army Lt Gen Sean Gainey to its board of directors, effective 13 August 2026. Gainey joins after a 36-year military career, including serving as the first director of the Department of Defense's Joint Counter-Unmanned Aircraft Systems Office from 2020. In that role, he helped develop the department's first counter-drone strategy and established common training standards across military services. In his final assignment, Gainey commanded US Army Space and Missile Defense Command and led JTF-Gold, the operational arm of the Golden Dome homeland defence system. The McLean, Virginia-based defence technology company develops AI-powered solutions for national security applications. Chief executive Kevin McAleenan said Gainey's operational experience with AI-enabled decision support systems aligns with the company's mission to support military personnel.
BigBear.ai and Texas Instruments represent contrasting investment approaches in the technology sector. BigBear.ai sells AI-driven decision support tools to the US Intelligence Community and Department of Defense. The company recently acquired Pangiam to expand its biometrics capabilities. In FY 2025, BigBear.ai's revenue fell 19.3% to $127.7 million. The company reported a net loss of $293.9 million, producing a negative net margin of 230.2%. Free cash flow was negative $46.3 million. Its debt-to-equity ratio stood at 0.19x. Texas Instruments produces analog and embedded processors for over 100,000 customers. Industrial and automotive markets represent 66% of total revenue. In FY 2025, Texas Instruments' revenue increased 13% to $17.7 billion. Net income reached $5.0 billion, with a net margin of 28.3%.
BigBear.ai Holdings reported winning over 20 new contracts in the past quarter, alongside a 9% increase in backlog, as the company focuses on applied AI for defence and security. The firm is expanding its secure, air-gapped generative AI platform for US Department of Defence customers, connecting autonomous defence systems in sensitive environments through its ConductorOS platform. The company's narrative projects $195.5 million revenue and $15.3 million earnings by 2029, requiring 14.1% yearly revenue growth. However, investors face near-term risks from lumpy government spending and continued cash burn. The contract wins aim to build a more predictable revenue base, though BigBear.ai continues to operate at a loss. Some analysts estimate revenue could reach $188.1 million by 2029, with fair value estimates around $4.00 per share.