Deployment Strategy Operations Lead Job New York New York USA,IT/Tech

Requirements

If you like building the machine behind high-performance teams, keep reading
This role is for a high-intensity operator who likes building the engine, not just driving the car
You likely have:
Strong analytics and data instincts
Deep comfort with AI tools and automation
High systems thinking capability
Bias for execution
Ability to translate strategy into workflows
Strong stakeholder management skills
You are:
Forward-thinking and AI-native
Commercially sharp
Technically fluent
Comfortable with ambiguity
Energized by building from zero

What the job involves

We’re not looking for a traditional Ops person
We’re building the operating system for how Planhat deploys, scales, measures, and evolves customer outcomes in the age of AI
This role owns the programs, analytics, and systems that turn our Customer methodology into something structured, measurable, and repeatable — across post-sales and deployment
You’ll sit at the intersection of strategy, AI, systems, and execution
1. Own Strategic Deployment Programs
You will design, operationalize, and continuously improve cross-functional programs that directly impact customer outcomes
Examples of programs include:
Digital deployment programs
Executive Sponsor program
Agentic / AI use case applications inside Planhat
Translating CS methodology into processes
You will:
Turn strategy into structured programs with clear success metrics
Define workflows, ownership, reporting, and automation
Ensure these programs are actually used (not just documented)
Continuously refine based on performance data
2. Own CS Analytics & Reporting
You will define what “CS performance” actually means — and make it visible
Build reporting frameworks for CS effectiveness and customer outcomes
Define leading indicators (not just lagging ones)
Operationalize AI-driven insight into performance
Partner with Revenue leadership to turn insights into actions
3. CRM & Systems Ownership
As we simplify our systems stack, you will help design the next version of our internal revenue operating system
Ensure data quality across customer lifecycle
Improve system design and architecture
Reduce manual work through automation
Own some part of CRM hygiene and structural integrity
What “great” looks like in this role
Our deployment programs are structured, measurable, and evolving
AI is embedded in how we score risk, prioritize accounts, and execute
Reporting drives behavior — not just visibility
Our CRM is a clean, reliable operating system
Revenue leadership has clarity on performance without chasing data