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About This Role
Title: Vice President of Managed Aircraft Sales
Location: Fishers, IN or Remote – Some travel required
Reports to: EVP of Managed Aircraft Sales
The Company:
At Jet Access: We elevate quality of life.
Expect it all at Jet Access and our family of companies that provide premier private air travel, charter, aircraft management, sales, maintenance, flight training, airport operation and management.
As a family-owned, professionally operated, and EOS-managed company, we are committed to growth and operational excellence. With private ownership and an employee-centric, values-driven approach, we move fast, care deeply, and act with purpose.
Our people are not just part of our culture—they help define it. Together, we're building something exceptional: a place where doing the right thing, taking care of each other, and delivering for our clients is more than a motto—it's how we work.
Our five core values aren't just words on a wall – they are lived principles that guide every decision we make: Safety First, Do the Right Thing for the Long Term, Take Care of Each Other, Relationships Matter, and Maintain Positivity.
Expect a safe, positive, fast paced, and growth-oriented environment.
- Expect a culture focused on the wellbeing and happiness of our Team Members and their families.
- Expect to work with a diverse and talented group of aviation professionals.
- Expect your voice to be heard.
- Expect to matter.
Your future success is our priority - *Expect it all*.
Perks and Benefits:
Our commitment to "Take Care of Each Other" shows up in everything we offer: generous benefits, competitive wages, paid vacation and holidays, excellent training programs, and discounted flight training. You'll join a tight-knit family where leadership is compassionate, transparent, and empowers you to achieve success—both for the business and your personal growth.
Job Summary:
The Vice President of Managed Aircraft Sales is a dynamic relationship builder and closer who thrives on the hunt for new business. You'll spend your days connecting with aircraft owners, attending industry events, and strategically positioning Jet Access as the clear choice for aircraft management and Wing Share solutions, then sealing the deal to grow our fleet and drive revenue.
Core Schedule:
- Remote position with the flexibility to work your territory strategically
- Up to 50% travel. Be where your clients are, whether that's at their hangar, an industry event, or one of our company locations
- Your calendar flexes with client needs, including evenings and weekends, that's when deals get done
- This isn't a desk job, expect to be out meeting people, attending events, and making things happen
Compensation:
- Base salary: $75,000 - $125,000 (annualized, paid bi-weekly)
- Uncapped commission structure per the Vice President of Managed Aircraft Sales Variable Compensation Structure
- Significant upside earning potential, your success directly drives your income. The more you close, the more you earn. This role rewards performance and hustle.
Day in the Life:
This is 100% outside sales—you're on the road, at events, building relationships, and closing deals that grow the Jet Access fleet. Here's what your role encompasses:
New Business Development and Prospecting
- Identify and pursue high-quality aircraft management and Wing Share prospects using your network, industry connections, and creative prospecting strategies
- Work trade shows, conferences, and aviation events—always looking for the next opportunity to connect and build relationships
- Research and qualify leads to build a robust pipeline of opportunities that you own and drive forward
- Leverage your aviation community presence to generate referrals and establish Jet Access as the go-to aircraft management solution
- Stay visible and active in aviation circles, consistently expanding your network and influence
Sales Process and Contract Negotiation
- Conduct consultative discovery conversations with aircraft owners to understand their needs, challenges, and goals
- Develop and deliver compelling, tailored presentations that showcase the Jet Access advantage
- Prepare detailed proposals and financial analyses that make the business case crystal clear
- Negotiate contract terms with confidence, securing agreements that work for the client and Jet Access
- Drive opportunities through the sales cycle with urgency and follow-through, converting prospects to signed contracts
Client Relationship Management
- Build genuine, trust-based relationships with high-net-worth aircraft owners through authentic engagement and consistent communication
- Serve as the primary point of contact throughout the sales process, ensuring prospects feel valued and informed
- Understand each client's unique situation and tailor your approach to their communication style and decision-making process
- Create exceptional first impressions that reflect Jet Access's culture and commitment to taking care of our clients
- Transition new clients seamlessly to operations and service, setting the stage for long-term partnership success
Market Intelligence and Strategic Collaboration
- Maintain deep knowledge of the aircraft management landscape, competitive offerings, and market trends
- Collaborate closely with the Executive Vice President of Managed Aircraft Sales to align on strategy and share market intelligence
- Provide insights to leadership about what you're hearing in the field—client needs, competitor moves, and emerging opportunities
- Understand the operational and financial aspects of aircraft management so you can speak credibly to any question or concern
- Continuously refine your approach based on what's working and what the market is telling you
Performance Excellence and Growth Contribution
- Maintain accurate records in CRM systems, tracking pipeline activity and providing visibility into sales performance
- Meet or exceed sales targets and goals, bringing new managed aircraft and Wing Share clients into the Jet Access family
- Represent Jet Access with professionalism and enthusiasm at all times, elevating our brand wherever you go
- Stay organized and self-directed while working remotely, managing your time and territory with discipline and accountability
- Complete special projects and initiatives as needed, embracing opportunities to contribute to Jet Access's continued growth and success
Your success in this role goes beyond hitting numbers—it's about building relationships that last, representing our values with integrity, and bringing the energy and passion that makes Jet Access special.
What will make you successful:
Required Skills & Experience
- Bachelor's degree in aviation, business, marketing, or related field
- 7+ years’ experience in Aircraft Management Sales
- Deep understanding of large cabin aircraft management sales
- Proven track record of closing 6+ ACM deals annually
- Established network within the aviation community or direct connections with aircraft owners
- Natural relationship builder who genuinely enjoys meeting people, networking, and building connections
- Demonstrated ability to meet or exceed sales targets—you love the thrill of the hunt and the satisfaction of closing deals
- Mastery of aircraft management operations, including both Part 91 and Part 135 regulations
- Exceptional communicator who can present confidently and persuasively to high-net-worth individuals and aviation professionals
- Self-starter with high energy and internal drive, you don't need supervision to stay motivated and productive
- Comfortable working independently in a remote environment while staying connected and accountable to the team
- Excellent organizational skills with ability to manage multiple opportunities and priorities simultaneously
- Strong computer literacy including Microsoft Office suite; CRM (Salesforce) experience preferred
- Valid driver's license and willingness to travel up to 50%, including evenings and weekends for client meetings and industry events
- Must successfully pass pre-employment background check
- Genuine alignment with Jet Access core values
Additional Qualities That Will Make You Successful
- Experience with fractional ownership, or aircraft syndication models
- Deep knowledge of various aircraft types, their capabilities, operating costs, and what owners care about
- Financial acumen and ability to walk clients through complex analyses with clarity and confidence
- Experience in a family-owned, entrepreneurial, or fast-growth business environment
- Track record of building client relationships that generate ongoing referrals and organic business growth
- Familiarity with aviation software platforms such as Avianis or similar management systems
- Private pilot certificate or higher—you speak the language and understand the passion
- Advanced degree, professional sales training, or certifications that sharpen your skills
- Competitive spirit balanced with collaboration—you want to win, but you also want the team to win
Jet Access Group and affiliated companies are an Equal Opportunity Employer committed to diversity and inclusion in our workplace. Employment decisions are based solely on the qualifications and merit of the individual candidate and needs of the business, without discrimination on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law.
Salary Context
This $75K-$125K range is in the lower quartile for AI/ML Engineer roles in our dataset (median: $170K across 217 roles with salary data).
View full AI/ML Engineer salary data →Role Details
About This Role
AI/ML Engineers build and deploy machine learning models in production. They work across the full ML lifecycle: data pipelines, model training, evaluation, and serving infrastructure. The role has evolved significantly over the past two years. Where ML Engineers once spent most of their time on model architecture, the job now tilts heavily toward inference optimization, cost management, and integrating LLM capabilities into existing systems. Companies want engineers who can ship production systems, and the experimenter-only role is fading fast.
Day-to-day, you're writing training pipelines, debugging data quality issues, setting up evaluation frameworks, and figuring out why your model performs differently in staging than it did on your dev set. The best ML engineers are obsessive about reproducibility and measurement. They instrument everything. They know that a model is only as good as the data feeding it and the infrastructure serving it.
Across the 26,159 AI roles we're tracking, AI/ML Engineer positions make up 91% of the market. At Jet Access, this role fits into their broader AI and engineering organization.
Demand for AI/ML Engineers has been strong and consistent. Unlike some AI roles that spike with hype cycles, ML engineering is a foundational need. Every company deploying AI models needs people who can keep them running, and the gap between research prototypes and production systems keeps growing.
What the Work Looks Like
A typical week might include: debugging a data pipeline that's silently dropping 3% of training examples, running A/B tests on a new model version, writing documentation for a feature flag system that lets you roll back model deployments, and reviewing a junior engineer's PR for a new evaluation metric. Meetings tend to be cross-functional since ML touches product, engineering, and data teams.
Demand for AI/ML Engineers has been strong and consistent. Unlike some AI roles that spike with hype cycles, ML engineering is a foundational need. Every company deploying AI models needs people who can keep them running, and the gap between research prototypes and production systems keeps growing.
Skills Required
Python and PyTorch dominate the requirements. Most roles expect experience with cloud platforms (AWS, GCP, or Azure) and familiarity with ML frameworks like TensorFlow or JAX. RAG (Retrieval-Augmented Generation) has become a top-3 skill requirement as companies integrate LLMs into their products. Docker and Kubernetes show up in about a third of postings, reflecting the production focus of the role.
Beyond the core stack, employers increasingly want experience with experiment tracking tools (MLflow, Weights & Biases), feature stores, and vector databases. Fine-tuning experience is valuable but less common than you'd think from reading Twitter. Most production LLM work is RAG and prompt engineering, not fine-tuning. If you have both, you're in a strong position.
Companies that are serious about AI/ML hiring tend to post specific infrastructure details in the job description: the frameworks they use, their model serving stack, their data pipeline tools. Vague postings that just say 'ML experience required' without specifics are often companies that haven't figured out what they need yet.
Compensation Benchmarks
AI/ML Engineer roles pay a median of $154,000 based on 8,743 positions with disclosed compensation. This role's midpoint ($100K) sits 35% below the category median. Disclosed range: $75K to $125K.
Across all AI roles, the market median is $190,000. Top-quartile compensation starts at $244,000. The 90th percentile reaches $300,688. For comparison, the highest-paying categories include AI Engineering Manager ($293,500) and AI Safety ($274,200). By seniority level: Entry: $85,000; Mid: $147,000; Senior: $225,000; Director: $230,600; VP: $248,357.
Jet Access AI Hiring
Jet Access has 3 open AI roles right now. They're hiring across AI/ML Engineer. Positions span Greenfield, IN, US, Remote, US. Compensation range: $125K - $180K.
Remote Work Context
Remote AI roles pay a median of $160,000 across 1,226 positions. About 7% of all AI roles offer remote work.
Career Path
Common paths into AI/ML Engineer roles include Data Scientist, Software Engineer, Research Engineer.
From here, career progression typically leads toward ML Architect, AI Engineering Manager, Principal ML Engineer.
The fastest path into ML engineering is through software engineering with a self-directed ML education. A CS degree helps, but production engineering skills matter more than academic credentials. Build something that works, deploy it, and measure it. That portfolio project is worth more than a Coursera certificate. For career growth, the fork comes around the senior level: go deep on technical complexity (staff/principal track) or move into managing ML teams.
What to Expect in Interviews
Expect system design questions around ML pipelines: how you'd build a training pipeline for a specific use case, handle data drift, or design A/B testing infrastructure for model deployments. Coding rounds typically involve Python, with emphasis on data manipulation (pandas, numpy) and algorithm implementation. Take-home assignments often ask you to build an end-to-end ML pipeline from raw data to deployed model.
When evaluating opportunities: Companies that are serious about AI/ML hiring tend to post specific infrastructure details in the job description: the frameworks they use, their model serving stack, their data pipeline tools. Vague postings that just say 'ML experience required' without specifics are often companies that haven't figured out what they need yet.
AI Hiring Overview
The AI job market has 26,159 open positions tracked in our dataset. By seniority: 2,416 entry-level, 16,247 mid-level, 5,153 senior, and 2,343 leadership roles (Director, VP, C-Level). Remote roles make up 7% of the market (1,863 positions). The remaining 24,200 roles require on-site or hybrid attendance.
The market median for AI roles is $190,000. Top-quartile compensation starts at $244,000. The 90th percentile reaches $300,688. Highest-paying categories: AI Engineering Manager ($293,500 median, 21 roles); AI Safety ($274,200 median, 24 roles); Research Engineer ($260,000 median, 264 roles).
Demand for AI/ML Engineers has been strong and consistent. Unlike some AI roles that spike with hype cycles, ML engineering is a foundational need. Every company deploying AI models needs people who can keep them running, and the gap between research prototypes and production systems keeps growing.
The AI Job Market Today
The AI job market spans 26,159 open positions across 15 role categories. The largest categories by volume: AI/ML Engineer (23,752), AI Software Engineer (598), AI Product Manager (594). 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 (2,416) are outnumbered by mid-level (16,247) and senior (5,153) 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 2,343 positions, representing the bottleneck between technical execution and organizational strategy.
Remote work availability sits at 7% of all AI roles (1,863 positions), with 24,200 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 $190,000. Top-quartile roles start at $244,000, and the 90th percentile reaches $300,688. 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 $145,600. 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: Rag (16,749 postings), Aws (8,932 postings), Rust (7,660 postings), Python (3,815 postings), Azure (2,678 postings), Gcp (2,247 postings), Prompt Engineering (1,469 postings), Openai (1,269 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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