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