Director of Product

Duties and Responsibilities:

Own the business relationship 

• Serve as the dedicated product leader for your assigned business units as the single point of contact for all product needs, escalations, and roadmap conversations 

• Build deep relationships with business unit leaders and stakeholders; understand their goals, constraints, and workflows well enough to anticipate needs before they are articulated 

• Represent your business units’ priorities clearly within the technology organization, and represent technology’s capabilities and constraints clearly back to the business 

Drive intake and prioritization 

• Translate business needs into structured, prioritized intake for Solution Architects and engineering teams 

• Own the “what” and the “why” not the “how”; partner closely with Solution Architects who own end-to-end delivery 

• Maintain living spec libraries for your BUs: clear, up-to-date requirements that drive AI agents and replace traditional PRDs 

• Make hard prioritization calls, communicate tradeoffs transparently, and protect the team from scope creep while keeping stakeholders bought in 

Work AI-first 

• Use AI tools as a standard part of your daily workflow — synthesizing user interviews and support tickets, generating first-draft requirements, analyzing adoption data, and accelerating every part of the discovery-to-delivery cycle 

• Model what an AI-first product leader looks like for the broader organization 

• Stay current on AI tooling and capabilities relevant to your BU; proactively identify opportunities to apply AI to BU workflows and products 

Lead and develop your team 

• Manage 1–3 Product Managers; provide direction, coaching, and clear expectations 

• Run structured discovery and requirements processes that your PMs can learn from and replicate 

• Develop your team’s product craft: stakeholder communication, prioritization discipline, AI-assisted requirements, and domain knowledge 

Measure and communicate impact 

• Define what “success” looks like for your BUs’ product investments and track it 

• Own adoption metrics; understand whether what gets built is actually being used and driving value 

• Communicate progress, blockers, and outcomes clearly to both business and technology leadership 

 

Desired Credentials:

Required 

• 7+ years of product management experience, with at least 3 years in a senior or lead PM role 

• Demonstrated experience using AI tools in your product work — not just awareness, but active, daily use; we want to see how AI has changed how you do your job 

• Proven ability to build deep, trusted relationships with business stakeholders and become their go-to technology partner 

• Track record of translating ambiguous, poorly-defined business needs into clear, prioritized product plans 

• Strong written communication skills; able to write requirements and product documentation that engineers and AI agents can actually work from 

• Experience managing at least one direct report 

• Chicago-based; able to be in the office a minimum of 3 days per week 

Strongly preferred 

• Experience working in or alongside enterprise SaaS, B2B software, or complex multi-stakeholder technology environments 

• Experience building or contributing to a spec-driven or AI-assisted delivery model 

• Experience in a high-growth, transformation environment where the playbook was still being written 

Not required 

• Aviation or MRO (maintenance, repair, overhaul) domain experience — we will teach you the domain; you bring the product instincts, curiosity, and relationship skills to learn it quickly 

 

WHO THRIVES IN THIS ROLE 

This role is a great fit for someone who is energized by being the person a business unit actually relies on — not a ticket queue, not a project coordinator, but a real product partner. You are curious enough to learn a new domain quickly, structured enough to bring order to ambiguity, and confident enough to make prioritization calls that will disappoint someone. You see AI as a tool that makes you better at your job today, not a future trend to watch. And you are excited about the opportunity to help define what an AI-first product organization looks like, because we are building it right now.