Director of Engineering

Job Description

Responsibilities

What You’ll Do

• Define and lead the Engineering Platforms org — structure the org, direct report team, and establish ownership across defined pillars
• Drive the platform shift — help transition from centralized DevOps to a platform engineering model where the road and guardrails are built for internal teams own their services end-to-end
• Build the data and AI infrastructure layer — canonical data strategy across 8 products; AI platform foundations (model gateway, eval framework, training pipeline) that power product AI roadmap
• Govern cloud and infra — multi-brand cloud strategy, cost optimization, security posture, and vendor relationships
• Partner with brand engineering leads — your platforms are their enabler; you’ll build with them through innersourcing while reducing cognitive load so they can scale faster
• Translate technical complexity into business outcomes — communicate platform strategy and tradeoffs clearly to the VP of Engineering, ELT, and board where relevant

What We’re Looking For
Must-haves:

• Track record and passion for collaboratively building and scaling platforms used by development teams
• Ability to think of platforms as products and convincingly connect the work to human value and business outcomes
• Experience building integration code and libraries to make adoption of platform products easier for development teams
• Experience leading and growing engineering teams of employees, contractors, and agents
• Strong understanding of cloud infrastructure, delivery patterns, observability, data infrastructure, and AI/ML concepts
• Able to cast compelling AI vision for others while leading by example with personal usage
• Tenacity for building high value services
• Clear communication and ability to work with a distributed workforce

Nice to have:

• Experience with internal developer platforms (Backstage, custom IDP, or equivalent)
• Development/engineering background
• Experience in multi-product or multi-brand business environments
• Familiarity with AI infrastructure patterns (model gateways, RAG pipelines, eval frameworks, MCP)

Not required but noted:

• Specific tooling we use: AWS, GCP, Azure, GitHub, Bitbucket, ArgoCD, Netbird, OTEL, Grafana, Prometheus, MongoDB

Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
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