Implementation Manager

Peregrine Technologies•Florida, United States, FL

8d•$130,000 - $155,000

About The Position

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. 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.

Requirements

3–6 years of experience in enterprise software implementation, technical project management, or customer-facing deployment roles
Demonstrated ability to manage multiple concurrent implementation projects against tight timelines
Comfort with technical concepts — data connectivity, credential management, permissions structures, data model configuration — without necessarily writing code
Exceptional written communication and documentation skills; you send clear, structured updates and leave no ambiguity about next steps
Experience working with customers that have limited IT resources or low technical sophistication — public sector or government experience a strong plus
High agency, low ego. You figure things out and you keep moving

Nice To Haves

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 path forward anyway
You are a clear, direct communicator — in writing and in live sessions — and you default to structured, asynchronous information-gathering over unnecessary meetings
You are genuinely curious about AI tooling. You'll be one of the first people at Peregrine to manage a portfolio of deployments primarily through agents, and you'll have strong opinions about how to make that better over time
You are a thoughtful trainer. You know the difference between a customer who is truly self-sufficient and one who just thinks they are — and you close that gap before you sign off

Responsibilities

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