Responsibilities
- Lead the team responsible for the newly launched SaaS Insights product.
- Define and execute the product roadmap for the SaaS Insights product.
- Collaborate with cross-functional teams to drive product growth.
- Drive the strategy, design, and delivery of AI-powered product capabilities.
- Leverage agentic workflows and large language models (LLMs) to create intelligent user experiences and automation at scale.
- Champion the adoption of Agentic AI and LLMs across engineering to increase productivity and accelerate innovation.
- Enable teams to move faster through AI-assisted development, code generation, testing, and operations.
- Partner with leaders across engineering, operations, product management, and other functions to make critical decisions.
- Make decisions on roadmap direction, customer feedback, and integration with the broader Illumio platform.
- Ensure correctness, scalability, and modularity of architecture and implementation.
- Maintain compliance with regulatory standards and security best practices.
- Grow and develop a top-tier engineering team.
- Work closely with senior technical leads and cross-functional leaders.
- Define, manage, and enforce milestone gates to ensure feature completeness and quality.
- Balance business priorities with deadlines and deliver on time to enterprise customers.
- Play a critical role in product planning with senior executives.
- Set business milestones, define resource requirements, and influence long-term technical and business strategy.
Requirements
- Experience managing 10+ full-time engineers in a global environment.
- 10+ years in roles of increasing responsibility and technical leadership.
- Significant experience building and delivering scalable, cloud-native enterprise SaaS products and services.
- Proven track record of taking enterprise software products from inception through to successful customer delivery.
- Strong, hands-on experience with AI/ML system design and production deployment.
- Hands-on experience with prompt engineering, data pipelines, observability, evaluation frameworks, and cost/performance/latency trade-offs in production LLM-powered applications.
- Proven experience designing, building, and shipping AI-assisted products.
- Practical, real-world experience using large language models (LLMs) and agentic workflows to deliver customer-facing automation and innovation.
- Experience with modern public cloud infrastructure (particularly AWS and Azure).
- Experience with containerization and orchestration technologies.
- Experience with DevOps tools and best practices.
- Outstanding interpersonal skills.
- Intellectual curiosity.
- Entrepreneurial spirit.
- Passion for driving a culture of innovation and continuous improvement leveraging AI.
- Strong leadership behaviors.
- Decisive actions.
- BS in Computer Science or equivalent work experience.
Nice to Have
- Experience developing and supporting enterprise software in regulated environments (e.g., FedRAMP, PCI).
