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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
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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
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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 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
AI-powered operational intelligence platform that connects siloed data to help public safety agencies and complex organizations make faster, more accurate decisions.
Visit company websiteJobs and hiring trendsUSD 140000-165000 / year
Manager · 3–6 years experience
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