What are the responsibilities and job description for the Deployment Strategy Operations Lead position at Planhat?
The customer platform built to acquire, service and grow lifelong customers.
Why this role exists
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.
If you like building the machine behind high-performance teams, keep reading.
What you’ll do
Examples of programs include:
Responsibilities:
Responsibilities:
This role is for a high-intensity operator who likes building the engine, not just driving the car.
You likely have:
Why this role exists
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.
If you like building the machine behind high-performance teams, keep reading.
What you’ll do
- Own Strategic Deployment Programs
Examples of programs include:
- Digital deployment programs
- Executive Sponsor program
- Agentic / AI use case applications inside Planhat
- Translating CS methodology into processes
- 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
- Own CS Analytics & Reporting
Responsibilities:
- 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
- CRM & Systems Ownership
Responsibilities:
- 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
- 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
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
- Forward-thinking and AI-native
- Commercially sharp
- Technically fluent
- Comfortable with ambiguity
- Energized by building from zero
- Not a passive reporting function
- Not a pure CRM admin role
- Not a strategy-only role
- Not a “wait for instructions” position