Senior Manager AISE, Tier 2-3, Post Sales

CoreWeave•San Francisco, CA

3d•$188,000 - $275,000•Hybrid

About The Position

We’re hiring a Manager, Scale Post-Sales AISE to lead and grow a team of post-sales AI Solutions Engineers focused on scaled customer success. You’ll own the strategy and execution of our 1-to-many post-sales motion—building the programs, operating rhythm, and cross-functional partnerships required to drive customer outcomes at scale. You’ll lead a team, set priorities, ensure high-quality delivery, and continuously improve the scaled journey using data, feedback loops, and operational rigor.

Requirements

6–10+ years in customer-facing technical roles (Solutions Engineering, Solutions Architecture, Technical CSM, Post-Sales Engineering), including 2+ years of people management or team leadership.
Proven experience building and operating scaled customer success motions (1-to-many programs, lifecycle enablement, playbooks, templates) with measurable business impact.
Strong technical foundation in ML/AI workflows and modern tooling; comfortable guiding technical direction and reviewing solution designs.
Excellent communication skills—able to influence across functions, present to groups, and write clearly for broad audiences.
Highly operational: you can set goals, build dashboards/metrics, create a cadence, and drive continuous improvement.
Bachelor’s or Master’s degree in Computer Science, Engineering, or related field (or equivalent practical experience)

Nice To Haves

Experience building and scaling technical post-sales teams across geographies
Familiarity with data engineering, MLOps/LLMOps practices, and modern deployment tooling (Docker, Kubernetes, cloud-native services)
Knowledge of enterprise adoption metrics and operational reporting for technical teams

Responsibilities

Lead and develop the Scale Post-Sales AISE team
Hire, onboard, coach, and retain a high-performing team.
Set clear expectations, develop technical and program leadership skills, and create a culture of customer empathy, operational excellence, and scalable impact.
Own scaled post-sales strategy and program execution (1-to-many)
Define the scaled post-sales engagement model, success milestones, and program portfolio (e.g., onboarding cohorts, office hours, enablement webinars, scaled implementation paths).
Ensure programs are repeatable, measurable, and aligned to key product outcomes and customer segments.
Run the operating system: metrics, prioritization, and cross-functional alignment
Build the instrumentation and operating cadence to track outcomes (activation, time-to-first-value, feature adoption, retention/expansion signals, support deflection).
Partner deeply with Support, Sales, Product, Docs, and Engineering to remove friction, improve self-serve experiences, and feed adoption insights into roadmap and enablement improvements.