Implementation Manager
Campfire is hiring an Implementation Manager in New York, United States. It pays $100k-$140k a year and Level rates it ; you can apply on Campfire.
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AI in this role
Please note: This role is based in New York and requires working in the office five days per week alongside the team.
Our Story
Campfire is a next-gen core accounting platform built for modern mid-market finance teams. We help them close fast and scale even faster. Our platform replaces outdated legacy ERPs and manual accounting processes with automation-driven solutions that simplify and accelerate finance workflows. In the past year alone, we have grown 10x, driven by strong customer demand and a product that delivers real results for accounting & finance teams. We are scaling quickly and building the future of finance by giving teams the clarity, control, and strategic visibility they need to lead with confidence.
About the Role
We are looking for an Implementation Manager to lead customer implementations from start to finish. This is a fully execution-focused role responsible for ensuring customers successfully launch and start using the platform.
Implementation Managers own the entire implementation process, including kickoff, configuration, data migration, testing, go-live, and transition to Support or Customer Experience. The role requires strong project management, technical understanding of the platform, and clear communication with customers.
You will work closely with customers and internal teams to keep implementations moving, identify risks early, and ensure a smooth and successful launch.
What You’ll Do
Own end-to-end customer implementations from kickoff through go-live
Lead implementation projects with a focus on aligning the platform to each customer’s accounting workflows and financial reporting needs
Configure the platform based on customer chart of accounts, reporting structures, and operational requirements
Manage data migration from source systems (ERP, GL, spreadsheets) and ensure accuracy of financial data
Lead testing and validation of financial workflows, reporting outputs, and system configuration
Identify risks or discrepancies early across data, processes, or timelines and drive resolution with internal teams
Serve as the primary customer contact throughout implementation, providing clear communication and guidance
Partner with Product, Engineering, and Customer Experience teams to resolve technical or workflow challenges
Ensure a smooth transition to Customer Success and Support after go-live
What Success Looks Like
Customers successfully go live with financial workflows and reporting fully operational
Financial data and reporting outputs reconcile accurately after migration
Customers are confident using the platform to manage core accounting processes at launch
Implementations stay on schedule with minimal rework post go-live
Clear documentation and smooth handoff to the post-implementation team
What We’re Looking For
Background in accounting or finance
Experience in accounting, finance, or supporting financial workflows within ERP systems (e.g., NetSuite, SAP, QuickBooks, Sage, Oracle).
Strong understanding of accounting processes and financial workflows (GL, reporting, close, reconciliations)
Experience leading software implementations or complex system rollouts
Comfort working with financial data, system configuration, and data migration
Strong problem-solving skills with the ability to identify risks early
Clear communication with finance stakeholders and technical teams, with a strong client-first mindset
Ability to manage multiple implementations in a fast-paced environment
How we rate this
Implementation Manager at Campfire rates 33 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
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