Companies ICF

ICF

Reston, Virginia, USA

9,000 Total Employees

Year Founded: 1969

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What It's Like to Work at ICF

Updated on March 04, 2026

This page summarizes recurring themes identified from responses generated by popular LLMs to common candidate questions about ICF and has not been reviewed or approved by ICF.

What's it like to work at ICF?

Strengths in mission alignment, external recognition, and perceived stability are accompanied by tradeoffs in compensation, workload variability, and uneven management experiences in a contract-centric environment. Together, these dynamics suggest a generally reputable employer for impact-oriented candidates, with fit hinging on tolerance for public-sector process, utilization pressures, and mid-market pay.

Positive Themes About ICF

Mission & Purpose: Mission-driven work is framed as meaningful, with large programs across climate/energy, health, disaster recovery, and public communications that emphasize public-impact outcomes.
Recognition: External workplace recognition is highlighted through mentions of being named to major “best workplace” and diversity-related employer lists, implying positive signals about culture and inclusion.
Market Position & Stability: Business resilience is emphasized through references to a diversified book of business, long-running contracts, and guidance pointing to continued demand and momentum beyond federal swings.

Considerations About ICF

Low Compensation: Pay is characterized as “okay” or below market relative to peers, with compensation upside described as limited compared with higher-paying competitors.
Workload & Burnout: Work intensity is depicted as variable, with utilization targets and proposal cycles creating sudden workload spikes and contracting rhythms that can drive pressure.
Weak Management: Management quality is portrayed as inconsistent, with mentions of bureaucracy or micromanagement in some programs and the need to navigate matrixed layers to succeed.

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The insights on this page are generated by submitting structured prompts to some of the most popular large language models (“LLMs”) and summarizing recurring themes from the responses. Because the insights are generated using AI, they may contain errors. The insights do not necessarily reflect internal data, employee interviews, or verified company information. They may be influenced by incomplete, outdated, or inaccurate data, and may vary across LLM providers. These insights are intended for informational purposes only and should not be interpreted as a factual or definitive assessment of a company's reputation. Built In makes no representations or warranties regarding the accuracy, completeness, or reliability of this information, and disclaims any liability for any actions taken based on this information. If you are a representative of this company, and would like this page to be removed, you may contact us via this form.