Director, AI & ML Engineering

About the role

The Director of AI & ML Engineering will lead the engineering, delivery, and operationalization of AI/ML capabilities across Gogo's software products and internal platforms. This role will build and mentor a high-performing AI/ML engineering team and partner closely with Product, Operations, Support, Sales, IT, Security, and Data to identify and deliver practical AI/ML solutions that improve business efficiency, enhance customer experience, and increase the value of our core products.

Responsibilities

• Execute the company’s AI strategy, aligning with Gogo’s business objectives and the evolving needs of the satellite connectivity industry
• Lead the design, build, and deployment of AI/ML solutions that improve customer experience and operational outcomes, including areas such as network/service insights, predictive maintenance, anomaly detection, support automation, and sales enablement
• Own the end-to-end delivery lifecycle for AI/ML initiatives: problem framing, data readiness, experimentation, production-ization, monitoring, and continuous improvement
• Partner with Product to translate business goals into actionable AI/ML roadmaps and measurable outcomes tied to customer and operational value
• Establish and mature ML Ops and LLM Ops practices: model versioning, CI/CD, evaluation, monitoring, drift detection, retraining workflows, and production support
• Define engineering standards for AI/ML systems including quality, reliability, security, latency, cost-to-serve, and scalability
• Collaborate with platform and data teams to ensure strong foundations for data pipelines, feature management, and model-ready datasets
• Work with cross-functional stakeholders (Product, Operations, Support, Sales, IT, Security, Legal/Compliance) to identify high-value AI/ML opportunities and integrate solutions into business workflows and customer-facing experiences
• Ensure AI/ML capabilities are delivered as durable product features and operational tools
• Communicate plans, tradeoffs, progress, and outcomes clearly to both technical and non-technical audiences
• Establish best practices for data governance, privacy, security, and responsible AI usage, ensuring compliance with internal policies and applicable regulations
• Build, lead, and develop a team of AI/ML engineers and applied scientists; set expectations, coach performance, and foster a culture of execution and continuous learning
• Manage vendor relationships and partnerships related to AI/ML platforms, tooling, and services
• Support budgeting and capacity planning for AI/ML programs and platform investments

Qualifications

• Bachelor’s Degree in Computer Science, Engineering, Data Science, or related field (Master’s preferred)
• 10+ years of engineering experience with 6+ years delivering ML/AI solutions
• 3+ years in a technical leadership role

Required Skills, Talents, & Experience

• Demonstrated success taking AI/ML systems into production and owning operational performance (monitoring, reliability, retraining, cost)
• Strong experience with modern ML tooling and frameworks (e.g., PyTorch, TensorFlow) and cloud-based AI services (Azure, AWS, or GCP)
• Proven ability to lead cross-functional execution and communicate effectively with engineering, product, and business stakeholders
• Strong understanding of data privacy, security, and governance practices in production systems
• Experience delivering AI/ML capabilities in connectivity, telecommunications, aviation, or other high-reliability industries
• Familiarity with RAG, LLM integration, and evaluation practices for AI assistants and automation use cases
• Experience building or scaling MLOps platforms (feature stores, model registries, CI/CD for models, observability)

Preferred Skills, Talents, & Experience

• Strong working knowledge of DevOps, distributed systems, and agile product delivery
• Track record of measurable business impact from AI/ML initiatives (efficiency gains, cost reduction, improved customer outcomes)

Benefits

• Gogo offers competitive benefits including medical, dental and vision coverage with plans that can fit each employee’s needs.
• We offer an immediate vesting 401k plan, paid time off and volunteer time off.
• Employees have the option to participate in an Employee Stock Purchase Plan.

Equal Pay Disclosure

Base Pay 176,000.00 - 220,000.00 USD Annual Target Annual Short-Term Incentive Bonus Plan at 20% (% of Annualized Base Pay) Eligible For Incentive Stock Program Yes