Public Sector AI Implementation Lead

Peregrine; Town of Florida (NY); On-site; USD 130,000 - 155,000; Full time

Benefits offered by this job

Benefits

Equity

Bonus (if applicable)

Job summary

Peregrine is seeking an Implementation Manager to oversee the deployment of our AI-powered platform for public safety and government customers. You will own the end‑to‑end deployment lifecycle from kickoff through go‑live, directing AI agents, configuring data models, and coordinating with customer IT teams.

You will run focused QA and training sessions, manage permissions end‑to‑end, and escalate blockers as needed to keep deployments on track and on schedule.

Qualifications

• Asks 3–6 years in enterprise software implementation or technical project management.
• Ability to manage multiple concurrent deployments against tight timelines.
• Comfort with data connectivity, credentials, permissions, and data model configuration (without coding).
• Exceptional written communication and structured updates; no ambiguity about next steps.
• Experience with public sector or government customers is a strong plus.

Responsibilities

• Own end-to-end deployment lifecycle from kickoff to go-live.
• Direct AI agents to execute integrations and configure data models.
• Coordinate with infrastructure, engineering, and customer IT stakeholders to enable connectivity.
• Lead virtual kickoffs and working sessions with customer stakeholders.
• Run QA and training sessions to enable customers to self-validate data.
• Manage end-to-end permissions configuration and test outputs.
• Maintain task management across a portfolio of deployments and escalate blockers.
• Identify patterns to improve prompts and deployment playbooks.

Skills

Project management

Technical acumen

Customer-facing deployment

Written communication

Job description

Peregrine is seeking an Implementation Manager to oversee the deployment of our AI-powered platform for public safety and government customers. You will own the end‑to‑end deployment lifecycle from kickoff through go‑live, directing AI agents, configuring data models, and coordinating with customer IT teams.

You will run focused QA and training sessions, manage permissions end‑to‑end, and escalate blockers as needed to keep deployments on track and on schedule.