Senior Director, AI Platform Engineering Management

Quick Facts

• Role: Senior Director, AI Platform Engineering Management

• Focus: Engineering strategy, architecture, and scaling for an enterprise AI platform that governs AI models, agents, and datasets

Description

Lead engineering strategy and execution for the AI Control Tower platform, the enterprise hub for governing AI models, agents, and datasets. Build and scale multiple engineering teams and product areas as the platform grows from zero-to-one creation to production adoption. Drive an AI-native engineering lifecycle across architecture, development, testing, security, CI/CD, observability, and operations.

Responsibilities

• Own engineering strategy across multiple AICT product areas and translate product vision into technical priorities and execution plans

• Lead the full journey from initial product creation through customer adoption and meaningful enterprise scale

• Provide technical leadership across architecture, platform strategy, data architecture, APIs, reliability, security, and operational scale

• Set expectations for how AI is used across the engineering organization throughout the lifecycle

• Build and scale a high-performing engineering organization and establish accountability, experimentation, and continuous learning

• Own portfolio and roadmap execution across interconnected initiatives (prioritization, dependencies, technical decisions, delivery)

• Partner with Product, Design, Security, Data, Infrastructure, and represent engineering in executive reviews

• Engage with strategic customers and translate their problems into platform capabilities and roadmap inputs

Requirements

• 15+ years of software engineering experience, including leading large complex engineering organizations with managers and senior technical leaders

• Proven Director/Senior Director experience with accountability across multiple teams or product areas

• Demonstrated zero-to-one experience building and scaling a new product/platform (ideally in <100-employee environments)

• Experience scaling an early-stage/1.0 product through customer adoption while navigating product-market uncertainty

• Deep technical foundation in cloud-native SaaS: multi-tenant architectures; large-scale REST and gRPC API design; Kubernetes; distributed systems; multi-cloud (AWS, Azure, GCP)

• Strong Infrastructure as Code and modern cloud operations skills: Terraform, CloudFormation, Helm

• Strong database and data architecture expertise: schema design, data modeling, and modern data platforms (relational, graph, vector, columnar, OLAP, streaming, event-driven)

• Ability to define technical strategy and architecture across multiple teams balancing speed, reliability, security, scalability, and maintainability

• Experience applying AI across the engineering lifecycle (strategy, architecture, development, testing, security, deployment, observability, operations, developer productivity)

• Ability to operate comfortably from executive strategy through hands-on architecture/implementation when needed

• Track record recruiting, developing, and retaining exceptional engineering leaders and technical talent

• Strong executive communication skills and cross-organizational influence

Benefits

• Base pay range: $254,500–$445,400 plus equity (when applicable) and variable/incentive compensation

• Health plans with flexible spending accounts

• 401(k) plan with company match

• ESPP and matching donations

• Flexible time away plan and family leave programs