OneStream Software logo
OneStream Software
Posted 58 days agoVerified live 12h ago

AI Forward Deployed Engineer

Brief overview

Remote
UndergradOr in progress
$120k–$149k/yrStated range
Applied Artificial IntelligenceMachine LearningEnterprise Software SolutionsFP&ACPMEPMData PlatformsSQLData ModelingETLELTREST APIsIdentity and Security BasicsPythonC#ContainerizationData Visualization

About the company

OneStream Software logo
OneStream Softwareonestream.com

AI-enabled platform for enterprise financial planning and reporting.

Job description

Summary

OneStream Software is an enterprise finance platform that empowers finance teams to enhance decision-making through AI. The AI Forward Deployed Engineer will act as a bridge between AI capabilities and customer outcomes, focusing on designing and implementing AI solutions within the OneStream ecosystem.

Responsibilities

  • Apply OneStream, AI, and enterprise software expertise to help customers deliver transformative AI solutions within the OneStream ecosystem
  • Play a key role in hands-on delivery for AI-focused implementations, expansion projects, and established deployments—not just early-stage POCs
  • Interact, collaborate, and present to a diverse set of stakeholders (developers, sponsors, executives) to deliver AI-focused implementations
  • Play a growing role in orchestrating the evolving SensibleAI Portfolio (Forecast, Studio, Agents) with OneStream core to deliver modular solutions tailored to complex financial and analytics requirements
  • Produce reusable demos, implementations, checklists, workflows, best practices, and concise instructional videos that enable Presales, Delivery, Partners, and customers to leverage your learnings
  • Diagnose and resolve AI solution field issues; document decisions and trade-offs; support Delivery and Partner teams with structured guidance
  • Collaborate with AI Delivery to harden solutions for production and with AI Engineering to channel learnings and product gaps back into roadmaps
  • Engage directly with finance and data teams; work with partner FDEs to increase capability and consistency across the ecosystem; facilitate workshops and office hours

Skills

  • Bachelor's degree in computer science, data science, or relevant combination of education and experience
  • 0-2 years of software engineering experience, with a focus on data science, AI, or machine learning concepts
  • 1-2 years of industry experience in Applied Artificial Intelligence and/or Machine Learning
  • 1-3 years of experience delivering/implementing enterprise software solutions in FP&A/CPM/EPM or data/AI platforms, including at least 1 year in customer-facing build roles
  • Demonstrated success contributing to POCs or early implementations that transitioned to scaled rollout or productized assets
  • Strong SQL; data modeling and ETL/ELT; REST APIs, identity/security basics
  • Experience in Python and/or C#; automation and packaging; familiarity with containerization is a plus
  • Experience in producing insightful data visualizations of complex concepts and dataset
  • Translate complex technical concepts into business value for finance stakeholders
  • Depth in one or more areas (e.g., forecasting, LLM apps, CPM modeling) with breadth across data, integrations, and platform operations
  • Hypothesis-driven approach; comfort operating with ambiguity; strong documentation and diagramming habits
  • Work cross-functionally with Product, Engineering, Delivery, CS, Presales, and Partners; give/receive design feedback
  • Design for reuse; produce assets others can adopt; contribute to internal standards
  • Apply data privacy and governance guidelines in solution design
  • Comfortable engaging and presenting to management level executives from time to time
  • Direct experience with OneStream implementations or building Genesis Blocks / Marketplace content
  • Direct experience within a prior Forward Deployed Engineering role

Qualifications

Must Haves

  • Bachelor's degree in computer science, data science, or relevant combination of education and experience
  • 0-2 years of software engineering experience, with a focus on data science, AI, or machine learning concepts
  • 1-2 years of industry experience in Applied Artificial Intelligence and/or Machine Learning
  • 1-3 years of experience delivering/implementing enterprise software solutions in FP&A/CPM/EPM or data/AI platforms, including at least 1 year in customer-facing build roles
  • Demonstrated success contributing to POCs or early implementations that transitioned to scaled rollout or productized assets
  • Strong SQL; data modeling and ETL/ELT; REST APIs, identity/security basics
  • Experience in Python and/or C#; automation and packaging; familiarity with containerization is a plus
  • Experience in producing insightful data visualizations of complex concepts and dataset
  • Translate complex technical concepts into business value for finance stakeholders
  • Depth in one or more areas (e.g., forecasting, LLM apps, CPM modeling) with breadth across data, integrations, and platform operations
  • Hypothesis-driven approach; comfort operating with ambiguity; strong documentation and diagramming habits
  • Work cross-functionally with Product, Engineering, Delivery, CS, Presales, and Partners; give/receive design feedback
  • Design for reuse; produce assets others can adopt; contribute to internal standards
  • Apply data privacy and governance guidelines in solution design
  • Comfortable engaging and presenting to management level executives from time to time

Nice to Haves

  • Direct experience with OneStream implementations or building Genesis Blocks / Marketplace content
  • Direct experience within a prior Forward Deployed Engineering role

Benefits

  • Vision
  • Medical
  • Life
  • Dental
  • 401K
  • Excellent Medical Plan
  • Dental & Vision Insurance
  • Life Insurance
  • Short & Long Term Disability
  • Vacation Time
  • Paid Holidays
  • Professional Development
  • Retirement Plan

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