
Principal AI Deployed Engineer
OneStream Software
full-time
Posted on:
Location Type: Remote
Location: United States
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Salary
💰 $210,000 - $262,000 per year
Job Level
Tech Stack
About the role
- Serve as the primary strategic advisor to senior finance stakeholders at assigned accounts, owning the AI adoption roadmap from initial deployment through sustained operational ownership.
- Participate directly in the design and delivery of AI use cases at assigned accounts, including solution architecture, data pipeline configuration, and implementation oversight — particularly during initial deployment and expansion phases.
- Lead adoption and change management strategy for AI-enabled finance processes, ensuring customer organizations can confidently own non-deterministic AI outputs independently.
- Design and facilitate executive workshops, business reviews, and readouts that connect AI capabilities to measurable financial outcomes (forecast accuracy, cycle time, process efficiency).
- Engage directly with customer finance and data teams to deliver, validate, and refine AI solutions within the OneStream ecosystem.
- Identify and validate expansion use cases within assigned accounts by translating business objectives into actionable AI implementation plans aligned to the SensibleAI product portfolio.
- Build 24-36 month AI roadmaps per account, sequencing use cases by business impact, technical feasibility, and organizational readiness.
- Partner with Sales and Account Management to position AI expansion opportunities during renewal and upsell cycles, activating revenue from inside the account.
- Evaluate cross-functional process and forecasting opportunities that extend AI value beyond single-function deployments.
Requirements
- Bachelor’s degree in finance, accounting, business, computer science, data science, or relevant combination of education and experience.
- 8–15 years of experience in finance transformation, FP&A advisory, CPM/EPM consulting, or enterprise financial software delivery.
- 3–5 years of experience with AI/ML concepts applied to financial planning, forecasting, or analytics workflows.
- Deep ML engineering expertise is not required; AI fluency and the ability to translate AI outputs into business context is essential.
- Demonstrated success leading change management workstreams on ERP, EPM, or financial systems transformation programs.
- Experience in customer-facing advisory roles with direct engagement at the C-suite or VP level (CFO, VP FP&A, VP Finance).
- Track record of identifying and activating expansion opportunities within enterprise accounts through trusted advisory relationships.
- Experience at a Big 4 firm, Global Systems Integrator, or enterprise software vendor in a finance-focused consulting or advisory capacity.
Benefits
- Vision
- Medical
- Life
- Dental
- 401K
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
AI adoptionsolution architecturedata pipeline configurationAI use casesfinancial planningforecastinganalytics workflowschange managementERP systemsEPM systems
Soft Skills
strategic advisorycustomer engagementleadershipcommunicationworkshop facilitationrelationship buildingchange managementbusiness impact analysisorganizational readinesscollaboration