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About This Role
Job ID
327392
Job Title: Business Development Executive \- AI/Cloud Solutions
Job Category: Business Development and Marketing
Time Type: Full time
Minimum Clearance Required to Start: Secret
Employee Type: Regular
Percentage of Travel Required: Up to 50%
Type of Travel: Continental US
\* \* \*
CACI is seeking a seasoned Business Development Executive to drive growth of AI and Cloud Solutions across the Federal market within CACI’s Digital and Enterprise Solutions (D\&ES) Lines of Business.
This role will focus on identifying, qualifying, and capturing opportunities tied to AI\-enabled solutions, cloud transformation, enterprise platform solutions, data modernization, application modernization, DevSecOps, and digital mission transformation. The successful candidate will bring strong Federal sales experience, customer engagement skills, executive presence, and the ability to translate emerging AI and cloud capabilities into differentiated CACI solutions. This is a virtual position requiring strong self\-direction, disciplined pipeline management, and close collaboration across business development, capture, solution architecture, OEM partners, operations, and proposal teams. Up to 50% travel within the continental United States should be expected.
Responsibilities:
- Build, qualify, and manage a robust D\&ES pipeline aligned with CACI’s strategic growth priorities focused on AI, cloud, and Enterprise Platform Solutions.
- Identify and pursue opportunities tied to AI\-enabled mission solutions, generative AI, machine learning, cloud migration, cloud optimization, data platforms, application modernization, DevSecOps, and enterprise platform modernization.
- Shape and execute go\-to\-market strategies for AI and cloud opportunities, including customer engagement, competitive analysis, investment planning, pricing analysis, partner alignment, and solution positioning.
- Translate customer mission, business, and technical requirements into differentiated CACI AI, cloud, and enterprise platform solutions.
- Develop and maintain trusted relationships with Federal customers, cloud service providers, AI and data platform partners, OEMs, system integrators, and internal CACI teams.
- Collaborate with industry partners, OEMs, solution architects, and internal sectors to design winning teaming strategies and capture plans.
- Support opportunity shaping around cloud adoption, cloud\-native development, AI integration, secure data environments, automation, enterprise platforms, and mission modernization.
- Prepare executive\-level reports, customer engagement updates, opportunity briefs, pipeline reviews, and capture materials to support Sector and Corporate decision\-making.
- Lead Milestone Reviews and Capture Readiness Reviews with senior leadership.
- Track, assess, and report on emerging task orders, RFIs, RFPs, and market activity within CACI’s internal systems.
- Drive proposal development and ensure compliance with business plans, solicitation requirements, customer expectations, and CACI growth priorities.
Qualifications:
Required:
- Bachelor’s degree from an accredited institution.
- 10\+ years of Business Development, sales, account management, capture, or growth experience supporting Federal Government technology opportunities.
- Demonstrated Federal sales experience supporting AI, cloud, enterprise platforms, data, application modernization, DevSecOps, or digital transformation opportunities.
- Experience identifying, qualifying, and pursuing large\-scale Federal technology opportunities.
- Strong understanding of Federal acquisition environments, customer engagement, opportunity qualification, pipeline management, and capture planning.
- Experience working with cloud service providers, AI/data platform partners, OEMs, or enterprise technology partners.
- Ability to work effectively in a virtual environment while collaborating across business development, capture, solution architecture, operations, pricing, contracts, and proposal teams.
- US Citizen with active Federal clearance or ability to obtain and maintain the required clearance, public trust, or agency suitability determination.
Desired:
- 12\+ years of Business Development, Federal sales, or capture experience supporting large\-scale technology, cloud, AI, or enterprise modernization programs.
- Experience with AWS, Microsoft Azure, Google Cloud, Oracle Cloud, ServiceNow, Salesforce, Databricks, Snowflake, NVIDIA, AMD, or other AI, cloud, and enterprise platform ecosystems.
- Experience with AI adoption, generative AI, machine learning, secure data platforms, cloud migration, cloud operations, application modernization, DevSecOps, automation, or enterprise platform delivery.
- Existing relationships with Federal customers, cloud service providers, AI platform companies, OEMs, system integrators, or relevant partner teams.
- Experience pursuing opportunities through major IDIQs, GWACs, BPAs, and task order vehicles.
- Active Secret, Top Secret, TS/SCI, public trust, or current agency suitability.
- Experience working in a virtual or geographically dispersed business development environment.
*
What You Can Expect:
A culture of integrity.
At CACI, we place character and innovation at the center of everything we do. As a valued team member, you’ll be part of a high\-performing group dedicated to our customer’s missions and driven by a higher purpose – to ensure the safety of our nation.
An environment of trust.
CACI values the unique contributions that every employee brings to our company and our customers \- every day. You’ll have the autonomy to take the time you need through a unique flexible time off benefit and have access to robust learning resources to make your ambitions a reality.
A focus on continuous growth.
Together, we will advance our nation's most critical missions, build on our lengthy track record of business success, and find opportunities to break new ground — in your career and in our legacy.
Pay Range:
There are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives. We offer competitive compensation, benefits and learning and development opportunities. Our broad and competitive mix of benefits options is designed to support and protect employees and their families. At CACI, you will receive comprehensive benefits such as; healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits.
Since this position can be worked in more than one location, the range shown is the national average for the position.
The proposed salary range for this position is:
$114,600\-$252,100*CACI is* *an Equal Opportunity Employer.* *All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, age, national origin, disability, status as a protected veteran, or any* *other protected characteristic.*
Salary Context
This $114K-$252K range is below the median for AI Product Manager roles in our dataset (median: $191K across 155 roles with salary data).
View full AI Product Manager salary data →Role Details
About This Role
AI Product Managers define what AI features get built and why. They translate business problems into ML-solvable tasks, work with engineering to scope model requirements, and own the metrics that determine if an AI feature is working. The role requires a rare combination of technical fluency and product instinct.
Unlike traditional product management, AI PM work involves managing uncertainty at a fundamental level. Your model might work 90% of the time. What happens the other 10%? What's the user experience when the AI is wrong? How do you measure 'good enough' for a probabilistic system? These questions don't have easy answers, and the AI PM is the person responsible for finding them.
Across the 3,824 AI roles we're tracking, AI Product Manager positions make up 5% of the market. At CACI International, this role fits into their broader AI and engineering organization.
AI Product Manager roles are growing as companies realize that shipping AI features requires different product thinking than traditional software. The best candidates combine product management experience with enough technical depth to have productive conversations with ML engineers about model capabilities and limitations.
What the Work Looks Like
A typical week includes: reviewing model evaluation results with the ML team, defining success metrics for a new AI feature, conducting user research on how customers respond to AI-generated outputs, writing product requirements that include accuracy thresholds and fallback behaviors, and presenting the AI roadmap to leadership. You're the translator between technical capability and business value.
AI Product Manager roles are growing as companies realize that shipping AI features requires different product thinking than traditional software. The best candidates combine product management experience with enough technical depth to have productive conversations with ML engineers about model capabilities and limitations.
Skills Required
Technical fluency with ML concepts is essential, though you won't be writing models. Expect to understand training data, evaluation metrics, model limitations, and responsible AI practices. SQL and basic Python are increasingly expected. Experience with A/B testing, data analysis, and product analytics is baseline. Understanding LLM capabilities and limitations is now a core requirement.
The differentiator is AI-specific product thinking: knowing when to use ML vs. heuristics, understanding the cost of training data collection, designing graceful degradation for model failures, and building products that improve with usage data. Experience with AI safety, bias mitigation, and responsible AI deployment is increasingly important.
Strong postings describe specific AI products the PM will own, mention the ML team structure, and talk about measurement methodology. Look for companies that have already shipped AI features. Roles at companies that are 'exploring AI' often mean you'll spend a year defining the strategy before any building happens.
Compensation Benchmarks
AI Product Manager roles pay a median of $213,800 based on 518 positions with disclosed compensation. Mid-level AI roles across all categories have a median of $160,000. This role's midpoint ($183K) sits 14% below the category median. Disclosed range: $114K to $252K.
Across all AI roles, the market median is $200,000. Top-quartile compensation starts at $253,000. The 90th percentile reaches $307,500. For comparison, the highest-paying categories include AI Engineering Manager ($293,500) and AI Safety ($274,200). By seniority level: Entry: $97,380; Mid: $160,000; Senior: $227,400; Director: $243,000; VP: $250,000.
CACI International AI Hiring
CACI International has 7 open AI roles right now. They're hiring across AI/ML Engineer, AI Product Manager, Data Scientist, AI Software Engineer. Positions span Ashburn, VA, US, Remote, US, Sterling, VA, US. Compensation range: $172K - $290K.
Remote Work Context
Remote AI roles pay a median of $169,035 across 1,817 positions. About 16% of all AI roles offer remote work.
Career Path
Common paths into AI Product Manager roles include Product Manager, Data Analyst, Technical Program Manager.
From here, career progression typically leads toward Director of AI Product, VP Product, Head of AI.
The most effective path is PM experience plus self-directed AI education. Take Andrew Ng's courses, build a small ML project, and learn enough Python to read model evaluation code. The goal isn't to become an ML engineer. It's to have credibility in technical conversations and to understand what's possible, what's hard, and what's a bad idea.
What to Expect in Interviews
AI interviews typically combine coding challenges (Python-focused), system design questions tailored to the role, and discussions about your experience with relevant tools and frameworks. Strong candidates demonstrate both technical depth and the ability to make pragmatic engineering tradeoffs. Prepare portfolio projects that demonstrate end-to-end capability rather than isolated skills.
When evaluating opportunities: Strong postings describe specific AI products the PM will own, mention the ML team structure, and talk about measurement methodology. Look for companies that have already shipped AI features. Roles at companies that are 'exploring AI' often mean you'll spend a year defining the strategy before any building happens.
AI Hiring Overview
The AI job market has 3,824 open positions tracked in our dataset. By seniority: 119 entry-level, 1,813 mid-level, 1,472 senior, and 420 leadership roles (Director, VP, C-Level). Remote roles make up 16% of the market (613 positions). The remaining 3,187 roles require on-site or hybrid attendance.
The market median for AI roles is $200,000. Top-quartile compensation starts at $253,000. The 90th percentile reaches $307,500. Highest-paying categories: AI Engineering Manager ($293,500 median, 31 roles); AI Safety ($274,200 median, 51 roles); Research Engineer ($260,000 median, 401 roles).
AI Product Manager roles are growing as companies realize that shipping AI features requires different product thinking than traditional software. The best candidates combine product management experience with enough technical depth to have productive conversations with ML engineers about model capabilities and limitations.
The AI Job Market Today
The AI job market spans 3,824 open positions across 15 role categories. The largest categories by volume: AI/ML Engineer (2,702), Data Scientist (281), AI Software Engineer (258). These three account for the majority of open positions, though smaller categories often have higher per-role compensation because of specialized skill requirements.
The seniority mix tells a story about where AI teams are in their maturity. Entry-level roles (119) are outnumbered by mid-level (1,813) and senior (1,472) positions, reflecting that most companies are past the 'build a team from scratch' phase and need experienced engineers who can ship production systems. Leadership roles (Director, VP, C-Level) total 420 positions, representing the bottleneck between technical execution and organizational strategy.
Remote work availability sits at 16% of all AI roles (613 positions), with 3,187 requiring on-site or hybrid attendance. The remote share has stabilized after the post-pandemic correction. Senior and specialized roles (Research Scientist, ML Architect) are more likely to be remote-eligible than entry-level positions, partly because experienced hires have more negotiating power and partly because these roles require less hands-on mentorship.
AI compensation is structured in clear tiers. The market median sits at $200,000. Top-quartile roles start at $253,000, and the 90th percentile reaches $307,500. These figures include base salary with disclosed compensation. Total compensation (including equity, bonuses, and sign-on) runs 20-40% higher at companies that offer those components.
Category matters for compensation. AI Engineering Manager roles lead at $293,500 median, while Prompt Engineer roles sit at $142,800. The spread between highest and lowest-paying categories reflects the premium on specialized technical skills versus broader analytical roles.
The most in-demand skills across all AI postings: Python (1,968 postings), Aws (1,203 postings), Azure (882 postings), Rag (877 postings), Gcp (735 postings), Prompt Engineering (587 postings), Pytorch (586 postings), Claude (554 postings). Python dominates, appearing in the vast majority of role descriptions regardless of category. Cloud platform experience (AWS, GCP, Azure) is the second most common requirement. The newer entrants to the top skills list (RAG, vector databases, LLM APIs) reflect the shift from traditional ML toward generative AI applications.
Frequently Asked Questions
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