Implementation Manager

About 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.

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

Qualifications

• 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

Skills

• Relentless project management
• Fluent in the language of data systems without necessarily being a data engineer
• Skill at navigating complex organizations where individuals may require some AI-upskilling
• Clear, direct communication — in writing and in live sessions
• Genuinely curious about AI tooling
• Thoughtful trainer

Benefits

Salary Range: $130,000 - $155,000 Annually + Benefits + Equity (if applicable) + Bonus (if applicable)