Jet Support Services, Inc. (JSSI)

Solutions Engineer

• Own the AI First architecture for JSSI's software delivery lifecycle, rolling out spec-driven delivery models and bringing AI agents into day-to-day engineering across teams, working toward a target of 100% of all code being generated by AI.
• Lead integration and adoption of AI tools, agents, agent skills, and services across specification, development, review, testing, documentation, and release, driving both technical connection and day-to-day uptake by engineering teams.
• Build and maintain AI frameworks enabling scalable fine-tuning and prompt engineering pipelines, inference, experiment tracking, observability, and model governance.
• Architect multi-agent systems (orchestration, reasoning, planning, autonomous task execution) on layered, distributed architectures (queues, caching, APIs, database schemas) operated by teams of coding agents.
• Translate Agile artifacts (epics, user stories, acceptance criteria) and product inputs into structured, agent-ready specifications that coding agents implement.
• Set technical standards for API design and interoperability, along with the guardrails, evaluation frameworks, and agent behavior boundaries that ensure responsible, predictable AI deployment.
• Design, build, and evaluate MCP servers that expose JSSI enterprise systems as model-ready tools, and define criteria for assessing third-party MCP integrations for security, reliability, and production readiness.
• Design, build, and maintain agent-based automation that coordinates LLMs, tools, APIs, and enterprise data (Salesforce, email, BI tools, data lakes) into cohesive, production-grade workflows.
• Establish patterns for agent reliability, observability, fallback behavior, and lifecycle management in production.
• Develop enterprise-grade internal and external applications and services (dashboards, microservices) that operationalize and extend automation initiatives.
• Create and refine AI prompts, then monitor, troubleshoot, and optimize automations for accuracy, performance, and business value.
• Build trusted relationships with cross-functional stakeholders, develop deep business insights and understanding, and translate them into a prioritized pipeline of high-impact, value-added opportunities.
• Support infrastructure teams in building CI/CD pipeline automation, security scanning, and policy-enforcement agents, providing reusable patterns and ongoing architectural support so they can extend and maintain it.
• Operate on the front line of AI delivery, building enterprise-class products firsthand and treating rapid experimentation as an operational-excellence discipline, deploying and learning in tight cycles toward a future state of deploying to production many times per day.
• Partner with engineering teams and leadership to shape engineering-practice standards, governance, and metrics that improve speed, quality, consistency, and business impact.
• In a fast-moving AI landscape, partner with Engineering, Product, and Executive leadership to refine processes, define metrics that quantify impact, scale proven workflows into repeatable delivery models, and manage dependencies and technical risk across concurrent efforts.
• Guide and mentor AI Engineers and AI Verification Architects through technical leadership and influence rather than direct people management, fostering a calm, supportive, and solution-oriented culture.
• Recognize the growing importance of citizen developers to the business, and provide the guidance, partnership, best practices, and insight that help their teams succeed.
• Ensure responsible AI practices: fairness, explainability, model monitoring, ethics, and regulatory alignment.

AI Solution Architect

Product Specialist

• Liaise with Associate Engine PLS to secure accurate quotes from vendors.
• Control the cost of all maintenance events.
• Issue purchase orders.
• Exhaust all resources to ensure maximum cost savings.
• Confirm MOU discounts have been received.
• Produce a comprehensible analysis to the client once the work has commenced.
• Assist in scheduling the work into one of JSSI’s preferred facilities.
• Keep the client fully briefed on the work package.
• Manage the event by physical presence at the service facility.
• Maintain a maintenance case with timely updates regarding costs and project status.
• Provide the Pricing & Program Development Department with information that allows them to:
• Ensure completeness and accuracy of Engine and Airframe templates.
• Develop Pricing Models for equipment in the market.
• Develop unique program options for our clients.
• Review and process invoices, meeting turn time goals set forth by Technical Services Management.
• Perform Pre-Induction Diagnostic Surveys (PIDS) on assets to determine enrollment eligibility.
• Stay current on all Service Bulletins, Advisory Directives and inspection updates for that line.
• Perform other responsibilities as assigned by Technical Services Management.

Product Line Specialist – CF34, AE3007

Sales

• Define and execute JPE’s global commercial strategy for parts distribution and whole-asset sales, aligned to JPE and JSSI’s broader growth objectives
• Set, track, and deliver annual and quarterly revenue targets across all product lines and geographies
• Build and maintain a robust multi-year sales pipeline; drive pipeline hygiene, forecasting accuracy, and CRM discipline across the team
• Identify and develop new revenue opportunities including fleet programs, MRO partnerships, and operator agreements
• Lead, coach, and develop a team of 9 Sales Directors with regional and product-line portfolios
• Conduct regular pipeline reviews, territory planning sessions, and individual performance assessments
• Recruit and onboard top commercial talent to fill capability gaps and support growth
• Oversee the origination, structuring, and closing of whole aircraft and engine transactions (purchases, sales, exchanges, and leases)
• Manage key relationships with asset holders, lessors, MROs, and brokers across the global market
• Monitor aircraft and engine valuations, market trends, and fleet retirements to identify acquisition and divestiture timing
• Drive parts revenue across airframe and engine categories through direct operator sales, dealer networks, and MRO channel partnerships
• Collaborate with inventory, logistics, and technical operations to ensure competitive availability, pricing, and TAT performance
• Represent JPE at key industry events and direct customer visits
• Collaborate with Operations and Quality to align commercial commitments with delivery capabilities
• Provide market intelligence and competitive insight to executive leadership to inform product, pricing, and M&A strategy
• Support due diligence and integration activities related to acquisitions or new capability development

Global Head of Sales

General

• Set up preliminary scheduled inspections or major unscheduled events
• Support a customer in AOG events
• Develops and maintains client relationships through periodic contact
• Grow and maintain relationships with regional service facilities, mobile repair teams, etc.
• Research logbooks and/or conduct visual inspections for new enrollments or existing contracts
• Review and process invoices in AMS, meeting turn time goals set forth by Technical Services Management
• Responsible for maintenance event triage, assessing and ensuring each situation is handled appropriately
• Perform other responsibilities as assigned by Technical Services Management

Engine Technical Advisor

• Serve as the primary point of contact between the Client and the maintenance organization
• Manage and coordinate client needs across routine maintenance activities
• Provide on-site customer representation during major scheduled inspections
• Support customers during Aircraft on Ground (AOG) events
• Create and manage Service Calls to track technical data
• Develop and maintain strong client relationships

Airframe Technical Advisor

Product Manager

• Build and maintain business relationships
• Develop strong working relationships with business unit stakeholders
• Serve as a responsive, reliable point of contact for your stakeholders
• Partner closely with the Director of Product to ensure alignment on priorities
• Lead discovery for assigned initiatives
• Own the spec library for your portfolio
• Use AI to accelerate the requirements process
• Define acceptance criteria and ensure solutions meet business intent
• Partner with Solution Architects through the delivery cycle
• Own release communication to your business unit
• Track adoption metrics post-launch
• Identify and escalate blockers
• Maintain a clear, prioritized backlog for your portfolio
• Communicate prioritization decisions to stakeholders
• Protect the engineering team from scope creep
• Use AI tools actively in your daily work
• Continuously look for ways AI can make you a better, faster product manager

• Own the business relationship with 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 to anticipate needs before they are articulated
• Represent business units’ priorities clearly within the technology organization
• Translate business needs into structured, prioritized intake for Solution Architects and engineering teams
• Maintain living spec libraries for your BUs: clear, up-to-date requirements that drive AI agents and replace traditional PRDs
• 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
• Manage 1–3 Product Managers; provide direction, coaching, and clear expectations
• Define what “success” looks like for product investments and track it

Director of Product

• Generate profitable subscription sales for JSSI Maintenance Software Solutions.
• Develop strategic and tactical sales/business development plan.
• Attain monthly, quarterly, and annual sales objectives.

Regional Sales Director

Sales Development Rep

• Outbound Prospecting: Proactively engage with prospects via phone, email, and social channels to gather intelligence and generate interest in our offerings.
• Lead Generation: Identify and qualify leads through cold calling, online research, and use of internal databases and tools.
• Market Research: Collect and analyze competitive intelligence, industry trends, and customer needs to inform sales strategy.
• Data Analysis: Use tools like Salesforce, LinkedIn, and other platforms to track activity, record insights, and prioritize outreach.
• Insight Capture: Extract value from every conversation by asking the right questions and documenting findings that support sales pipeline growth.
• Territory Management: Own a specific geographic or market segment and be accountable for driving intelligence and pre-sales activity in that region.
• Cross-functional Collaboration: Partner with Sales, Marketing, and Product teams to ensure lead quality, market alignment, and seamless handoffs.
• Social Selling: Leverage social media and digital platforms to engage with prospects and promote thought leadership.

Sales Development Representative

Data Engineer

• Own the Microsoft Fabric Platform — architecture, governance, performance, and access control
• Drive the roadmap for the platform including CI/CD enablement, Git integration, and centralized ingestion workspace design
• Manage Fabric capacity, right-sizing, backup, and disaster recovery
• Design, build, and operate reliable data pipelines that connect source systems into clean, usable data
• Establish monitoring, alerting, and SLA standards for pipeline reliability
• Establish a single source of truth across all systems and acquisitions, ensuring every team is working from the same numbers
• Build and maintain enterprise semantic models that serve analytics, reporting, and AI use cases
• Partner with the data governance function to implement Microsoft Purview for cataloging, classification, and data privacy standards
• Make the analytics team faster by solving data quality and availability issues at the source
• Build the data foundation that AI initiatives depend on, enabling the organization to move from insight to action
• Develop and support AI data agents to expand analytics delivery across the organization
• Manage and mentor a team of 2–5 data engineers, setting technical standards and fostering a high-performance culture
• Partner cross-functionally with analytics, product, and business stakeholders to prioritize and deliver
• Represent the data engineering function in leadership discussions and help shape JSSI's broader data strategy.