Public Sector AI Implementation Lead

Backed by leading Silicon Valley investors, Peregrine helps public safety organizations, state and local and governments, federal agencies, and private-sector institutions address society’s challenges with unprecedented speed and accuracy. Our AI-enabled platform turns siloed and disconnected data into operational intelligence — instantly surfacing mission-critical information to empower better, faster decisions that improve outcomes at every touchpoint. Today Peregrine supports hundreds of customers across 30+ states and two countries, serving more than 125 million people — and we’re amplifying our impact as we expand into the enterprise and internationally.



The Role

The Implementation Manager owns the deployment of Peregrine's platform across a portfolio of public safety customers. You will direct AI agents through configuration and integration, keep concurrent projects moving, and hold every deployment accountable from kickoff through go-live. In this highly focused role, you will work against a clear metric: timely, successful launches—and we're looking for someone who takes real pride in that.

As an Implementation Manager, you will:

• Own the end-to-end deployment lifecycle for a portfolio of customers — from initial kickoff through network connectivity, data source integration, QA, permissions configuration, training, and go-live
• Direct AI agents to execute integrations, configure ontologies and data models, and set up customer-specific front-end configurations — translating customer requirements into high-quality agent inputs and rigorously validating outputs
• Drive and unblock network access and data source connectivity, including internal coordination with Peregrine's infrastructure and engineering teams and direct engagement with customer IT stakeholders
• Facilitate virtual kickoffs and working sessions to align customer stakeholders, establish a project cadence, and map the human terrain of each agency
• Run lean, self-service-oriented QA and training sessions that upskill customer POCs to validate their own data and engage Peregrine directly — rather than creating dependency on Peregrine staff
• Manage permissions configuration end-to-end: gathering requirements via structured intake, directing agents to translate them into Peregrine, and testing outputs by impersonating roles
• Maintain rigorous task management across a concurrent portfolio of deployments, surfacing blockers and escalating with urgency
• Identify patterns across your book of business to refine agent prompts, improve deployment playbooks, and raise quality across every future deployment

• Deployments you manage achieve significant improvements in speed-to-value, go-live times, and sustained user adoption across the organization
• Customer POCs leave your QA and training sessions capable of engaging Peregrine's self-service tools independently, without calling you first
• Blockers — whether in networking, credential validation, or customer IT — get surfaced and resolved within hours, not days
• Your agent prompts and deployment playbooks improve measurably over time, reducing variance in go-live quality across your portfolio

• You are a relentless project manager. You track every open item across your portfolio and hold every stakeholder — internal and external — accountable with precision and care
• You are fluent in the language of data systems without necessarily being a data engineer. You know what a credential string is, can tell when a data source isn't connecting, and can work with an engineering team to diagnose and unblock it
• You are skilled at navigating complex organizations where individuals may require some AI-upskilling. When there are roadblocks in customer deployments, you stay calm and find the…