Implementation Manager

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. 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 What Success Looks Like 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 About you 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'l…