You're a team builder and org leader first, and a builder at heart. You set direction, attract talent, remove blockers, and create conditions where great engineers do their best work. You don't need to be the smartest person in the room on every technical domain — but you need to know enough to ask the right questions, earn technical credibility, and make good decisions when the experts disagree.You'll report directly to the VP of Engineering and be a peer to Directors leading brand engineering teams. You'll be expected to operate with high autonomy, surface blockers early, and move fast without waiting for permission on things in your scopeWhat You'll DoDefine and lead the Engineering Platforms org — structure the org, direct report team, and establish ownership across defined pillarsDrive the platform shift — help transition Sembi from centralized DevOps to a platform engineering model where the road and guardrails are built for internal teams own their services end-to-endBuild the data and AI infrastructure layer — canonical data strategy across 8 products; AI platform foundations (model gateway, eval framework, training pipeline) that power Sembi's product AI roadmapGovern cloud and infra — multi-brand cloud strategy, cost optimization, security posture, and vendor relationshipsPartner with brand engineering leads — your platforms are their enabler; you'll build with them through innersourcing while reducing cognitive load so they can scale fasterTranslate technical complexity into business outcomes — communicate platform strategy and tradeoffs clearly to the VP of Engineering, ELT, and board where relevantWhat We're Looking ForMust-haves:Track record and passion for collaboratively building and scaling platforms used by development teamsAbility to think of platforms as products and convincingly connect the work to human value and business outcomesExperience leading and growing engineering teams of employees, contractors, and agentsStrong understanding of cloud infrastructure, delivery patterns, observability, data infrastructure, and AI/ML conceptsAble to cast compelling AI vision for others while leading by example with personal usageTenacity for building high value servicesClear communication and ability to work with a distributed workforceNice to have:Experience with internal developer platforms (Backstage, custom IDP, or equivalent)Development/engineering backgroundExperience in multi-product or multi-brand business environmentsFamiliarity 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, MongoDBWhy This RoleGreenfield scope — you'll define the function, not inherit someone else's visionDirect impact on how 8 product engineering teams build and shipAI-forward environment — Sembi is actively building AI into its products and its engineering workflowReporting line with access and visibility — direct to VP of Engineering with active ELT support for the platform directionA leadership team that believes platform investment is a strategic multiplier, not overhead