VP of Product Management

Job Description

Job Description

Description:

About Veryon  

Veryon is the leading global provider of aviation software and information services , trusted by over 5000+ customers, 75,000 maintenance professionals, and 100+ OEMs across nearly 150 countries . Our mission is to deliver smarter, predictive technology solutions , including our AI platform, Veryon AIRE that maximizes aircraft uptime and operational efficiency for the world’s most demanding aviation organizations.  

At Veryon , we are an AI-forward company focused on driving innovation and efficiency through emerging technologies. We prioritize hiring individuals who embrace AI, think creatively about its application, and are excited to continuously evolve alongside it.  

About the Role

Veryon is seeking a visionary VP of Product Management to lead its AI-product and data-intelligence portfolio.  This is an executive-level role at the intersection of aviation domain expertise, data science, and enterprise SaaS product management. 

The ideal candidate combines deep technical fluency — including experience building data products, analytics pipelines, and ML/algorithm-driven solutions — with a proven track record of launching and scaling B2B SaaS products – but with a focus on platform enablement. The ideal candidate thinks beyond a specific product, helping set vision and strategy for the entire product portfolio that enables commercial airlines, business aviation operators, and MROs to improve aircraft reliability, improve maintenance efficiency, and reduce troubleshooting times. 

Reporting directly to the Chief Product Officer, this leader will help shape the long-term competitive differentiation of the Veryon platform through an AI-first, data-driven product philosophy — and will be a key voice in Veryon's senior leadership.

Key Responsibilities

• Executive Product Leadership: Define and execute a multi-year product strategy for the Data Intelligence, Defect Analysis, Predictive Health, and AIRE portfolio, aligned to Veryon’s corporate objectives and PE growth targets.
• Team Leadership: Build, lead, and mentor a team of Group Product Managers, Product Managers, and Product Owners across the portfolio. Foster a high-performance, customer-obsessed product culture.
• Technical Collaboration: Partner deeply and direct engineering, data science, and architecture teams as a technically credible product leader who can engage in system design, API strategy, data modeling, and ML pipeline discussions.
• Customer & Market Insight: Maintain direct relationships with key customers, conduct ongoing discovery, and translate deep domain knowledge of aviation maintenance operations into differentiated product decisions.
• AI & Data Product Development: Drive product development practices specific to data products and AI-augmented features, including data quality standards, model evaluation frameworks, feedback loops, and responsible AI governance.
• Revenue & Commercial Accountability: Provide strong GTM partnership for Sales, Customer Success, and Marketing. Maintain accountability to ARR contribution, bookings targets, and retention metrics for the assigned portfolio. Define and defend pricing and packaging strategies.
• Roadmap & Stakeholder Alignment: Own the long-range roadmap for the portfolio. Communicate strategy, progress, and tradeoffs to executive leadership, the board, and customers with clarity and conviction.
• Platform Strategy: Ensure the Data Intelligence and AIRE layers are architected and positioned as platform capabilities — creating durable competitive moats and enabling partner/ecosystem expansion over time.
• Portfolio Scope – responsible for Veryon Defect Analysis, Guided Troubleshooting, Veryon Data Intelligence, and Veryon AIRE as well as leading our future looking innovation in predictive health across aircraft, rotorcraft, and GSE. 

About the Portfolio Scope

• Veryon Defect Analysis – Veryon’s defect tracking, chronic identification, and MEL management capabilities across commercial and business aviation segments, focused on moving operators from discrete defect logging towards connected, intelligent defect pattern recognition at fleet and network level.
• Veryon Guided Troubleshooting – Veryon’s proprietary troubleshooting tool that drives technician efficiency, identifies previous fixes, and guided recommendations across supported airframes and engines, focused on supporting line technicians with real world evidence and interactive workflows to improve first time fix rates. 
• Veryon Data Intelligence – Veryon’s underlying data infrastructure and intelligence capabilities — the foundational platform that powers analytics, reporting, benchmarking, and AI across all product line with data model(s) and architecture that enable customer-facing data access capabilities and provide actionable insights across the platform.
• Veryon AIRE – Veryon’s AI and generative AI platform — ensuring coherent, high-value AI experiences are embedded across the product suite, including monetization layer, including pricing, packaging, and customer segmentation strategy. 
• Veryon Platform – in partnership with Engineering and Design, Veryon’s connected ecosystem of products, with a focus on enabling platform capabilities, API access, integration across products to provide customers with a seamless experience across all subscribed products. 

• Education: Bachelor’s degree in Engineering, Computer Science, Data Science, or a related technical field. MBA or advanced degree strongly preferred.
• Product Management Experience: 10+ years of product management experience (or equivalent), including 4+ years in a senior or executive PM leadership role overseeing multiple product. Familiarity with Agile/SAFe delivery frameworks at scale, and experience driving Agile transformation across multi-team product organizations.
• Technical Depth: Demonstrated hands-on experience with data products, analytics platforms, or algorithm/ML-driven solutions. Ability to engage credibly with data engineers, data scientists, and platform architects.
• SaaS Expertise: Proven track record building and scaling B2B SaaS products, including PLG or enterprise sales-led GTM motions, API-based platform strategies, and multi-tenant data architecture considerations.
• Analytics & Algorithm Products: Experience owning roadmaps for analytics, business intelligence, or algorithm-based products where accuracy, explainability, and data trust are core to customer value.
• AI / ML Product Experience: Background in defining, launching, or scaling AI/ML-powered product features, including experience with responsible AI practices, model evaluation, and communicating AI outputs to non-technical end users. Experience with generative AI product development, including prompt engineering, RAG architectures, LLM evaluation, and AI governance in regulated industries.
• Leadership: Proven ability to attract, develop, and retain top product talent. Experience operating effectively in a matrixed organization and influencing without direct authority.
• Financial Acumen: Strong command of SaaS metrics (ARR, NRR, LTV, CAC), pricing strategy, and business case development in a PE-backed or high-growth environment. Prior experience defining or operationalizing a data monetization or data-as-a-product strategy within a SaaS platform.
• Communication: Executive-level communication and storytelling skills. Comfortable presenting product vision, roadmap, and strategy to C-suite, board members, and enterprise customers.

Preferred Qualifications: 

• Aviation Domain Knowledge: Meaningful prior experience in the aviation maintenance, reliability, or operations sector. Deep familiarity with aircraft reliability metrics (dispatch reliability, PIREP/MAREP analysis, MEL/CDL usage), MRO workflows, and regulatory frameworks (FAA Part 121/135/145, EASA).
• OEM Ecosystems : Familiarity with OEM data ecosystems (Airbus Skywise, Boeing AnalytX/AHM, Embraer AHEAD, Pratt & Whitney FAST) and the associated data licensing, access, and integration landscape.
• Board & PE Exposure : Background in working within PE-backed organizations, with exposure to board reporting, M&A integration, and value-creation planning.

Our Core Values:  

• Fueled by Customers: Customers are at the core of every decision. 
• Win Together : Collaboration is our competitive edge. 
• Make It Happen: No excuses. Just outcomes. 
• Innovate to Elevate: We boldly challenge what’s standard and lift what’s possible. 

Notice of AI Use in Job Application Review

As part of our commitment in creating a fair, efficient, and consistent hiring process we may use artificial intelligence (AI) to help our recruiting teams organize, summarize, and analyze information provided by candidates, including resumes, application responses, and other materials submitted during the application process.AI may be used to identify patterns, highlight relevant skills, and experience, and assist in comparing a candidate’s qualifications with the requirement of a specific role. These tools are to improve efficiency and consistency while supporting more informed hiring decisions, which will ultimately be made by the hiring team.