Senior Manager, Product Management - AI / GPU Platform

Role Description

We are seeking a Sr. Manager, Product Management – AI / GPU Platform to lead the strategy, roadmap, and execution of our AI / GPU-enabled product platform, spanning CoreSuite and its deployment within MOSA.ic AI. This role sits at the intersection of product, architecture, and customer engagement, and is critical to defining how Lynx delivers high-performance, safety-critical compute solutions to market.

You will own product direction end-to-end—from market insight and strategy through execution and customer adoption—while working closely with engineering, architecture, sales, and partners.

Key Responsibilities

• Product Strategy & Ownership
  • Define and own the product vision and roadmap for AI / GPU-enabled capabilities across CoreSuite and MOSA.ic AI.
  • Translate market needs, customer requirements, and competitive landscape into clear product strategy and priorities.
  • Drive alignment between product, architecture, and go-to-market teams.
  • Own the ecosystem strategy, including developer tools, enablement, and partner integrations required to successfully deploy and adopt GPU capabilities across MOSA.ic AI.
  • Understand and influence how AI, GPU software infrastructure and hardware capabilities are used in aerospace domains for tasks such as sensor fusion, signal processing, video streaming and analysis, situational awareness, augmented reality, autonomy, and hybrid Edge/Cloud architectures.
  • Identify and influence how AI capabilities can enhance developer productivity, validation and verification, and governance in safety and security-focused use cases.
• Execution & Delivery
  • Define use cases, requirements, and success criteria for product initiatives.
  • Prioritize roadmap based on business impact, technical feasibility, and customer demand.
  • Ensure clear, actionable direction for engineering teams and drive execution to delivery.
• Customer & Market Engagement
  • Engage directly with customers and partners to understand use cases, pain points, and deployment challenges.
  • Support key pursuits, reference solutions/demos, and escalations, acting as a product authority in AI-enhanced GPU and high-performance compute domains.
  • Validate product direction through customer feedback and market signals.
  • Ensure the product ecosystem (tools, workflows, documentation, and integrations) enables customers to successfully evaluate, adopt, and deploy solutions.
  • Identify and foster potential professional services deliverables derived from AI capabilities added across the MOSA.ic AI platform.
• Cross-Functional Leadership
  • Partner closely with engineering and architecture to shape product capabilities and trade-offs.
  • Work with sales and marketing to define positioning, messaging, and enablement materials.
  • Align with Professional Services to ensure deployability and customer success.
• Product & Technical Leadership
  • Bridge deep technical understanding (GPU, scheduling, real-time systems) with business and product strategy.
  • Drive architectural alignment across CoreSuite and MOSA.ic AI platforms.
  • Ensure product decisions reflect both technical integrity and market value.

Qualifications

• 8+ years in product management, systems architecture, or a related technical leadership role.
• Strong background in embedded systems, real-time operating systems, AI / GPU/accelerated computing, or similar domains.
• Experience in safety-critical or regulated industries (e.g., aerospace, defense, automotive etc.).
• Proven experience driving product strategy and roadmap for complex, technical products.
• Experience working cross-functionally with engineering, sales, and customers.
• Ability to translate complex technical concepts into clear product direction.
• Ability to travel up to 20% of the time.

Preferred

• Familiarity with GPU scheduling, virtualization, or high-performance compute architectures.
• Background in deploying GPU capabilities in military and aerospace operational domains such as sensor systems, crew displays, or autonomous AI applications, in a real-time mission critical environment.
• Experience with platform products and ecosystem/partner integrations.

What Success Looks Like

• Clear, prioritized roadmap aligned with market and business needs.
• Strong alignment across product, engineering, and go-to-market teams.
• Improved customer adoption and successful deployment of AI-enabled capabilities.
• Reduced ambiguity in product direction and faster execution cycles.
• Scalable product leadership that enables teams, not just individual contribution.

Key Attributes

• Strong product ownership and decision-making.
• Ability to operate at both strategic and deep technical levels.
• Customer-first mindset with strong business awareness.
• Clear, concise communicator who drives alignment and action.
• Ability to scale impact through others (not just individual contribution).
• Ability to manage ITAR and CUI information.

Benefits

• Low-cost Medical / Dental / Vision coverage options.
• 401K with generous employer match.
• Responsible Paid Time Off + Paid Holidays.
• Remote work opportunities based on role.
• Employee Assistance Program (EAP).
• Career growth and professional development opportunities.

Company Description

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.