Implementation Manager

- 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 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

- 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

Salary Range: $140,000 - $165,000 Annually + Benefits + Equity (if applicable) + Bonus (if applicable)

Actual compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, and specific work location. Information on the benefits offered is here .