About JSSI
Founded in 1989 and headquartered in Chicago, Jet Support Services, Inc. (JSSI) is the largest independent provider of hourly cost maintenance programs for business aviation. JSSI delivers comprehensive coverage for engines, airframes, and auxiliary power units (APUs) across more than 300 different aircraft makes and models, helping owners and operators stabilize maintenance budgets, maximize aircraft availability, and protect asset value throughout the lifecycle of ownership. JSSI has built a portfolio of complementary business lines designed to simplify the economic and technical complexity of business aviation; these include Maintenance teams, Traxxall maintenance tracking software, Parts & Engines, Conklin aircraft cost and performance data, and Aviation Capital asset-based financing solutions. Together, these offerings support owners, operators, and maintenance providers with integrated tools spanning ownership and maintenance planning, execution, and financial management. With more than 6,500 aircraft supported through programs and software platforms, JSSI leverages its unique independence, unmatched scale, and data-driven insight to deliver customized solutions and support models aligned to the interests of each client — regardless of aircraft platform. JSSI is backed by leading institutional investors GTCR, Genstar Capital, and Blackstone. Learn more at jetsupport.com. Responsibilities
AI First Engineering Strategy & Delivery
- Define and execute the team’s delivery roadmap for the applications in scope, using Claude Code Enterprise and agentic development as core capabilities, and partnering with Product and the business to prioritize and evolve those applications over time.
- Embed AI across the full delivery cycle: spec-driven intent, agent execution (plan, build, and test), automated verification quality gates, and production insight that feeds learnings back into the context store, while engineers remain accountable for intent, architecture, quality, and release decisions.
- Hold final accountability for the reliability, accuracy, and business impact of what the team ships, including the AI agents, LLM-powered features, and automation built into the applications in scope.
- Partner with peer engineering and architecture leaders to align on shared standards, roadmap, and reusable patterns, presenting clear options and recommendations to engineering leadership.
- Stay close enough to the work to prototype, review examples, challenge assumptions, and demonstrate credible hands-on engineering judgment, using AI to the fullest in your own work and setting the standard the whole team is expected to meet.
Engineering Leadership & People Management
- Directly manage a high-performing AI First engineering team, owning hiring, onboarding, performance management, and individual career development for your direct reports.
- Run a single operating model across onshore and offshore delivery capability, with time-zone-aware rituals and communication practices that make a global team operate as one.
- Coach your Solution Architects to set direction and mentor the rest of the team. Build the team’s collective AI First capability through a structured learning path, enablement sessions, champions, office hours, and communities of practice, all grounded in real JSSI codebases.
- Set direction collaboratively: frame options, integrate the team's input, then commit to clear objectives and owners and drive them to completion with high communication.
Claude Code Enablement, Standards & Governance
- Drive responsible enterprise adoption of Claude Code (onboarding, usage patterns, repository context, guardrails, training, and coaching), measured by meaningful workflow usage.
- Create and scale reusable engineering assets: Claude Code skills, prompt libraries, MCP and context-sharing patterns, testing patterns, API standards, architecture decision records, and secure coding standards.
- Establish governance for AI First development (code ownership, review expectations, IP and secrets protection, auditability, approved model usage, and human-in-the-loop accountability) in partnership with Security, Legal, and Infrastructure.
- Ensure responsible AI in everything that ships: fairness, explainability, model monitoring, security posture, and regulatory alignment.
Enterprise Integration & Platform Alignment
- Ensure the team’s AI systems and automation integrate reliably with JSSI’s enterprise platforms (Salesforce, Dynamics 365 F&O, Microsoft Fabric, and proprietary products), coordinating with the data and platform teams that own them.
- Standardize how the team builds and consumes MCP servers that expose enterprise systems as model-ready tools, in partnership with the AI Solution Architect.
- Establish the observability and lifecycle-management standards that keep production automations dependable as they scale.
- Influence engineering standards for API design, agent-based automated testing, code quality, deployment readiness, and architecture decision documentation.
Metrics, Stakeholders & Executive Communication
- Define and report outcome-based metrics: cycle time, PR throughput, review latency, test coverage, escaped defects, deployment frequency, change failure rate, developer satisfaction, and token/cost governance.
- Track AI adoption and engineering proficiency over time: define an adoption maturity model, measure depth of Claude Code usage (active workflows, agent-assisted PRs, skill and MCP reuse), baseline proficiency by individual and team, and use the data to target enablement where it moves the needle.
- Build trusted relationships across Engineering, Product, Architecture, Security, Infrastructure, Data, Finance, Sales, and Operations, translating business needs into a prioritized pipeline and managing dependencies and risk across concurrent efforts.
- Evaluate AI engineering capabilities and vendors in a fast-changing market, recommending what fits JSSI’s Azure/Microsoft environment and enterprise risk posture.
- Translate progress, risks, adoption, investment needs, and business impact into clear executive-level narratives and operating reviews.
- Partner closely with the Product team and business stakeholders to deliver on time, on target, and on budget, managing for stakeholder satisfaction.
Required Qualifications
JSSI is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, or other characteristic protected by law.
JSSI does not accept unsolicited resumes from individual recruiters or third-party recruiting agencies in response to job postings. No fee will be paid to third parties who submit unsolicited candidates directly to our hiring managers or Recruiting Team.
